Edit | Li Shuiqing Wisdom News reported on June 21 that the GTIC 2021 Embedded AI Innovation Summit recently concluded successfully in Beijing! At this high-profile AI industry summit with a full audience and more than 1.5 million live viewers on the entire network, 16 bigwigs from the upstream and downstream of the industry chain gathered together to focus on the software and hardware ecological innovation of embedded AI, home AIoT, Mobile robots and industrial manufacturing industry 4 major sections of the map, bringing in-depth and simple to share. At the meeting, Chen Chao, the R&D director of Jizhijia, gave a speech titled “Challenges and Innovations in the Visual Perception Technology of Logistics Robots”. The speech mainly consists of three parts: logistics and logistics robots, and the challenges and solutions faced by logistics robots in vision in two different scenarios: warehousing and industry. The logistics industry is a huge market, but the industry has long faced pain points such as difficult employment and rapid changes in market demand. Logistics robots came into being under such a background. At present, they have evolved into multi-scenario product forms such as smart sorting, smart handling, smart forklifts, smart warehousing, and so on, and have landed in many practical scenarios. Chen Chao recalled that, in the process of launching the logistics robot of Jizhijia, many challenges have been overcome in terms of visual perception technology. In the field of warehousing AMR mobile robots, the scenarios are relatively simple, mainly including picking from shelf to person and picking from box to person. For the ground two-dimensional code used for navigation, the team encountered problems such as defacement/reflection, motion blur, and demands for cost reduction. To this end, Gzhijia introduced V1.5 based on the fusion of ground patterns on the latest robots to make up for the problem of easy fouling of the QR code; further, Gzhijia’s V2.0 solution based on Marker-Net reduces the failure rate Reduce by two orders of magnitude. In the field of industrial AMR mobile robots, the scenarios and challenges are more complex and diverse. For example, in response to the problem of fewer samples in the industry, Gigabyte adopts a learning simulation program to quickly expand the sample; for the problem of unknown target detection, Gzhijia introduces a depth camera, which allows the deep learning model to organically combine deep data to improve target detection performance. For the problem with high robustness requirements, Gigabyte adopts a composite model method; for positioning problems in high dynamic scenarios, map update and semantic maps are used to ensure long-term stable operation of the robot; for end-side equipment with low computing power The problem is that Gigabyte uses algorithm optimization and acceleration engine to break through the limit of computing power. It can be seen that, as a logistics robot head company established in 2015, Jizhijia has overcome the hills of embedded AI development for specific application scenarios in warehousing and industry. We organize the record of Chen Chao’s speech into the following three parts: 1. The logistics industry accounts for over 10% of GDP, and logistics robots came into being Regarding logistics, in addition to express logistics that ordinary consumers often come into contact with, it also includes subdivided logistics scenarios such as warehousing logistics and factory logistics. Logistics is a very complex and complex industry, accounting for more than 10% of GDP. It can be said that logistics provides a guarantee for the supply of production and living materials for the entire society. In recent years, the logistics industry has faced challenges: the first is the difficulty of employing people. In fact, everyone around them can clearly feel the trend of aging and declining birthrate of the entire society over the years. The working-age population is gradually decreasing. At the same time, young people nowadays are more inclined to go to big cities to engage in service-oriented jobs. They are unwilling to go to factories and warehouses to do some low-level boring logistics jobs for logistics-related companies. Recruitment caused certain difficulties. On the other hand, the logistics industry is changing rapidly. With the development of the entire economy, residents’ consumption upgrades. At present, there are fewer and fewer large-scale standard industrialized products, and more are highly customized and personalized small-batch production. Now the product iteration speed is faster and the upgrades are more frequent. , To present new challenges to the supply chain. Logistics robots came into being in this context. Since logistics involves a wide range of areas, there will be different robots and solutions in different links and aspects. (Logistics robots) are mainly used in smart sorting in some express delivery fields, smart picking in e-commerce warehouses, as well as smart handling robots, smart forklifts on manufacturing production lines, smart warehouses and smart factories for integrated solutions… below, Let’s find out through specific robots. Jizhijia’s family portraits cover most of the categories of logistics robots. Including the low and latent picking robots and handling robots in the front row, as well as the sorting robots and bin picking robots in the middle, as well as the tall unmanned forklifts, man-machine collaborative robots, and composite robots with robotic arms in the back row. Behind the busy robots is a cloud-based system architecture. First of all, on the bottom side is the body of the robot, which contains software algorithms such as visual perception, positioning, and PNC; on the edge server side in the middle, running RMS is responsible for robot task scheduling and path planning; the top cloud deployment WMS, ERP The system is connected with the customer’s business. It is based on such a cloud side-end architecture that (we) guarantees the stable and efficient operation of logistics robots. 2. Warehousing scene: The accuracy of visual recognition needs to be improved, and there is a big demand for cost reduction After having a preliminary understanding of the logistics robot system, take a look at the challenges and responses of visual perception. First of all, in the warehousing scene, the current applications are: 1. Picking from shelf to person; 2. Picking from box to person. “Goods-to-person picking mode” has changed the traditional way of picking and choosing people to find goods-the RMS issues instructions, the robot runs to a specific location, and the corresponding shelf or specific bin is transported to the picking station. Picking is done manually. In this link, operators no longer need to shuttle shelves to find goods. The new picking mode greatly reduces the labor intensity of pickers, and at the same time significantly reduces the error rate of picking, so that the overall efficiency is improved by 2 to 3 times. How is the picking robot positioned? Careful friends have already seen that in the video, some QR codes are densely gridded on the ground. A camera is installed at the bottom of the robot. The camera uses the camera to capture the QR code for positioning. This is similar to the principle of scanning codes on mobile phones. Since the QR code is deployed on the ground, there are some special features that are easy to be defaced. In the warehouse scene, there are often some trailer trucks in operation. The warehouse is regularly cleaned and maintained. Using a very powerful washing machine will cause damage to the QR code on the ground. On the other hand, the robot runs at a speed of more than 2 to 3 meters per second, the lens is very close to the ground, and the number of pixels that the object slides in a unit time is relatively large, and the image blur is more serious. In addition, low cost is also subject to fierce competition in the front-end market. The (market) puts forward a demand for cost reduction for picking robot sensors and computing chips. In response to the previous problems, we have made some iterations of technology and products. In the earlier version, a very low-cost heterogeneous SoC (System-on-Chip) was selected, and our traditional geometric feature-based algorithms were optimized and accelerated by FPGA, and finally achieved a relatively excellent performance-to-price ratio and performance-to-power ratio. Aiming at the problem of the contamination of the QR code, and also in order to reduce the deployment of the QR code in the scene, (we) introduced the ground pattern. If you look closely, you will find that the ground actually has very small textures, which are unique IDs, which can be used for positioning, which is similar to the code value on the QR code. Due to the particularity of the land pattern, (we) adopted a series of transformations to extract the global feature of the land pattern and establish a map location. Of course, the ground pattern has certain limitations, and it cannot be used for the epoxy floor of the factory and some high-gloss tile floors. (We) deploy a head-up camera on the front end of the robot, and use a neural network method Markernet on the back end to greatly expand the two-dimensional code detection capability on the latest robot. Previously, our camera was shooting downwards, and the field of view was very small. If the robot deviated a little, the positioning would be lost in a few centimeters or ten centimeters. Now relying on the front-view camera can detect the QR code in a larger range and perform relocation, which reduces the failure rate by two orders of magnitude. Many friends will ask, why use the network method for objects with obvious geometric features or artificially designed QR codes? Compared with the traditional mobile phone scanning code or the previous robot looking down the QR code detection method, now the QR code needs to be detected in a larger range and smaller angle to detect the fuzzy and contaminated QR code, based on the data-driven model method Exceeds the traditional method of artificially designing features. With the help of flexible camera deployment and back-end intelligent algorithms, the use of QR codes in the scene is greatly expanded, and it can be extended to side shelves or ceilings or almost anywhere in the scene. This is a test done in a logistics port container, which can detect and recognize the QR code in a very dark environment. 3. Industrial scenes: to deal with more complex scenes and establish simulation schemes In the industrial scenario, the challenges and responses faced by the visual perception of logistics robots, compared with the previously mentioned warehousing environment, involve more operations and a wider range. In the industrial scene, there are different types of robots in different scenes, including the roller handling robot on the left, lifting and handling, as well as robotic arm load robots and smart forklifts. In the industrial scenario, the requirements are diverse and the scenarios are complex, and different robots face different challenges when dealing with different tasks. Let’s take a look at it in detail. First, there are few samples. Take compound robots as an example. In the end-grabbing process, they are faced with the detection and recognition of more than 100,000 commodities. Unlike applications such as unmanned vehicles, few in the industrial field can find corresponding ones on public data sets. Samples for our training. At the same time, industrial customers have certain requirements for data privacy, which also restricts the collection of some samples. We adopt a simulation + learning program. Take pallets as an example. Pallets are vehicles that are widely used in the entire logistics scene. There are many types of pallets, including European standard, national standard and non-standard. There are various colors, shapes, sizes, materials, and even some customers. Take local materials and temporarily assemble them into pallet-like items with raw materials. Use the simulation engine to quickly build a single-target rendering, which can be rendered with different lighting, colors, and positions, and quickly expand our samples. For some applications, we can do full-scene simulation. Few Shots learning and Transfer Learning are used to quickly develop and adapt some new applications for some of the data that has been accumulated before in the industrial scene and the models that have been trained. Unknown target detection, there are many types of targets, some anomaly detection or obstacle detection can not exhaust the tested targets, we don’t know that the wrench or a part on the production line is dropped in front, or it may be a mouse or battery, based on the traditional The depth model method relies too much on the previous samples, and when faced with the detection of items that have never been seen before, the performance has a relatively large drop. We introduce deep learning methods to organically combine depth data and RGB data for detection. There are many types of depth cameras, including Stereo camera, TOF camera, Structure Light camera, etc. Choose the corresponding sensor according to different detection distance and accuracy requirements. We use Stereo camera for obstacle detection. The output depth map and grayscale map are naturally aligned on the pixel level, which is very good for the further information fusion in the future. The depth-based detection method does not rely on the previously established model, and has a better detection effect for unseen targets. Our robot uses a very cheap depth sensor, which is not as high as a lidar. Accuracy. For low and small objects, the availability of depth data is greatly reduced. For very distant objects, the depth map degenerates into a 2D map in principle, which needs to be combined with RGB data for detection. In the industrial scenario, due to the requirements for safety and efficiency, the robustness of related equipment is very high. Take forklifts as an example. The load capacity of forklifts is very strong and the destructiveness is very large. Error detection will affect items and personnel. Caused very big damage, we adopt the method of compound model, combine deep learning method with domain knowledge through compound model. On the one hand, we quickly output the potential detection objects of the object. On the other hand, for pallet detection or certain bin detection, we know what the detection target is, we can use the prior model to perform a network verification to obtain robustness Higher accuracy and higher results. Positioning in high-dynamic scenarios is different from warehouse robots based on two-dimensional codes on the ground. SLAM robots are used more in the industry. SLAM is a technology that uses sensors to observe the environment to establish a map and then locate it. This is very similar to the principle of human eyes observing the entire scene and positioning based on these visual landmarks. SLAM-based positioning has some advantages. There is no need to modify the scene, and there is no need to lay so many two-dimensional codes. It is more convenient to implement. The walking route is not gridded, but an arbitrary trajectory. Due to its flexibility, SLAM robots are more in line with the needs of customers in the flexible manufacturing industry and have been widely used in the manufacturing industry. A very big challenge based on SLAM positioning is the problem of positioning loss in a high dynamic environment. For example, the bins on the production line will change with the change of work time. When the robot picks up the bins, there are still 10 bins. When it is put back, only 2 bins remain, and the scene changes If the robot fails to locate, it is equivalent to holding the old map to look at the way and find the way, and it will probably fail. We adopt a map update and semantic map solution. Based on the cloud-side end architecture just mentioned, each end-side robot is given the ability to detect changes. When it finds that the map does not match well, it uploads the data to the edge server. The edge end can integrate the data collected by multiple robots, judge based on the previous static reference map, perform map fusion update, and send the fused map to each robot, so that the robot can use the latest map for positioning. Semantic map detects some objects in the network and recognizes dynamic and static characteristics. For example, people and material trucks are movable and cannot be removed from the map as landmarks. For some heavy equipment, they are movable and the movement frequency is very low. Decrease its confidence in the map. The markings on the ground, walls, pillars, etc. are highly static objects, increase its confidence in the map. Compared with traditional feature point-based positioning, the accuracy of semantic target-based positioning may be slightly lower, but the robustness is very high. It can even partially or fully constrain the position of the entire robot based on one object in the entire scene. , So as to ensure the smooth operation of the robot. The challenge of low computing power is limited by a series of factors such as price, size, and power consumption. It is impossible for us to use high-performance computing chips on end-side devices. What we do is to optimize at the algorithm and software level. For the network model, optimization is performed on the numerical calculation level, the structure of the network itself, and the entire detection process. On the other hand, we use the supporting optimization and reasoning engines provided by major hardware manufacturers to optimize the deployment of our algorithms. Taking OpenVINO as an example, quantitative tuning and pruning are performed on the server side, and the optimized model is deployed on a low-computing computing platform through the IE engine. Intel’s OpenVINO can fully tap the entire processor, not only the CPU, but also other computing units, especially the computing power of the integrated graphics card, making full use of on-chip resources. Let’s talk about it today. We look forward to working with colleagues and partners to discuss the application of visual AI technology in the logistics industry, and to build intelligent robots to make logistics easier. thank you all! The above is a complete compilation of Chen Chao’s speech.

For each meal, officers and soldiers (CBCS) of the Provincial Military Command and the 3rd Division had to plan to prepare thousands of meals. “Our job is to cook nutritious and delicious dishes to help doctors, staff, health workers and patients have good health to defeat the epidemic” – Lieutenant Colonel Nguyen Duc Hanh, Political Department, The provincial Customs Department shared. In order to have delicious, nutritious and regularly renewed meals, Hanh and his teammates have to discuss carefully with the Department of Nutrition, Provincial Rehabilitation Hospital to create a weekly menu. Officers and soldiers of the Provincial Military Command and the 3rd Division prepare meals to serve patients treated at the Rehabilitation Hospital. From the beginning of May until now, most of the staffs have participated in the fight against Covid with different tasks and roles. In agencies and units, they make plans, make training programs, and perform political tasks. Here again, the brothers became foster brothers. Rarely can they show their talents, each person has to work with knives and chopping boards to process together, then arrange a beautiful meal. Every day, with a little more experience, more delicious and diverse meals, we are also happy to receive positive feedback from staff, doctors and patients. To operate 2 field kitchens to serve thousands of meals for staff and doctors treating Covid-19 at the following locations: Primary Rehabilitation Hospital 1, Grassroots Rehabilitation Hospital 2 (at the Ngo Gia Tu College), Lung Hospital, No. 2 Infectious Field Hospital (Ministry of Defense), Lieutenant Colonel Nguyen Duc Hanh promptly advised to equip 3 industrial rice cabinets with large capacity, able to cook 70 kg of rice/pot/time (each time cook for about 2 hours); mobilized nearly 100 CBCS to support. At the rate of 80,000 VND/person/day, the logistics force calculates and divides it according to the ratio of 2/4/4 (16,000 VND for breakfast, 32 thousand VND for lunch and dinner each). From early in the morning, the kitchen at the Oncology Hospital 2 at the Vietnam – Korea Vocational College of Technology was on fire. At the end of May 2021, the field hospital was quickly installed, the kitchen infrastructure was also cleaned and tidy by CBCS. On June 2, thousands of meals were prepared by the brothers. Major Nguyen Thanh Tung, Regiment 831 (Ministry of the Provincial People’s Army), Deputy Director of the Field Hospital said: Thanks to the support of the 3rd Division, the field kitchen here has 32 comrades, in addition there are 4 Chefs of large restaurants volunteer to assist. Tung just finished his words, lunch on June 12 includes: Hot roast meat, fried shrimp with onions, fried beans, fried eggs, roasted peanuts, boiled spinach, and sweet potato soup are beautifully presented. Lunch box, food, soup, dessert are packed separately, every food is neat. For seriously ill patients, young children, pregnant women, the kitchen based on registration needs to prepare porridge, nutritional powder, pho, vermicelli, bread and milk… even ready vegetarian meals. for dieters. Every job is proud For each staff member of the Ministry of Public Security of the province and the 3rd Division, participating in logistics services for field hospitals to treat Covid-19 patients is a special task but also extremely proud. Soldier Nguyen Khac Thu, 3rd Division said: “When the unit had information, I and many other comrades volunteered to the epidemic center in Bac Giang. We are involved in the construction, installation and now logistics of the field hospital. I am very proud of my small contribution together with the unit and Bac Giang people to soon fight the epidemic.” At the invitation of Major Nguyen Thanh Tung and Major Do Hong Vu, Logistics Department (Provincial Ministry of Customs), with the spirit of volunteering, Mr. Ha Van Tuan, chef of a large restaurant in Nham Bien town (Yen Yen). Dung) and three other chefs, ready to put aside personal work, volunteered to pack a backpack to a field hospital located at the Vietnam-Korea Vocational College of Technology. Tuan said: “As a professional, we also hope to cook delicious meals to serve patients, staff, and doctors. They can eat well to have the health to work.” Thanks to your dedication, from the beginning of June until now, the meals of the staff, doctors and patients here are always delicious. Senior Lieutenant Colonel Vu Van Hung, Deputy Director of Logistics, Ministry of Public Security of the province said: “In order to ensure the quality of meals at field hospitals and isolation areas in the province, the provincial Department of Customs has established a working group of officers. sets of rooms and departments; regularly inspect and supervise the organization of cooking force, ensuring logistics. We require kitchens to import food from reputable establishments with clear origins; Build a varied and nutritious menu on a weekly basis. Especially, the processing stage ensures a one-way process, is carefully packed and preserved before being transferred to the patient and stored.” Thanks to the methodical, orderly and orderly implementation, most of the field kitchens are operated by CBCS. Provincial Customs Department and Division 3 maintain regular maintenance, highly appreciated by the Provincial Food Safety and Hygiene Department. Post, photo: Tuyet Mai

(Source: unctad.org) The United Nations Conference on Trade and Development (UNCTAD) on May 12 announced that it will bring together experts in the meeting of the United Nations Commission on Science and Technology for Development (CSTD) from 17-21. /5 to find out how science, technology and innovation (STI) contributes to a resilient and sustainable recovery after the pandemic COVID-19 . Shamika N. Sirimanne , Director of Technology and Logistics of UNCTAD and who also heads the CSTD Secretariat, said the COVID-19 pandemic has highlighted the urgent need to prioritize STIs for policymaking, resource allocation and international cooperation. However, governments also need to ensure that the developmental benefits of STIs are translated directly into the daily lives of people around the world. It is important for all countries to have equal access to the benefits of life-saving treatments, not only for pandemics but also for diseases related to poverty, future medical emergencies and infectious disease outbreaks, Ms. Sirimanne added. Experts will look at the opportunities offered by technologies some of which are being used to respond to the pandemic, such as artificial intelligence, big data and robotics. While these technologies may enable developing countries to stay ahead of previous technology models and transform economies and societies, these countries – especially the least developed – often not ready to adopt them due to resource and capacity constraints. According to Sirimanne, the COVID-19 pandemic has highlighted many manifestations of deep digital inequality within and across countries. She said proactive policy interventions, mobilization of all stakeholders and international cooperation are needed to guide STI advances towards a resilient and sustainable recovery from the pandemic. In an increasingly digitalized economy and society, the security and accountability of data transactions are critical to building trust and creating disruptive innovations in the technical world. number. In this respect, blockchain technology can be a game-changer, with the potential to revolutionize processes from finance to the pharmaceutical industry, from government public services to humanitarian and humanitarian work. development aid. Blockchain serves as the underlying technology for cryptocurrencies, enabling open (peer-to-peer), secure and fast transactions. The application of blockchain has expanded to include various financial transactions such as online payments and exchange platforms, as well as the Internet of Things (IoT), healthcare systems, and supply chains. “While we have seen a few examples of blockchain’s potential to address sustainability challenges, it is important to avoid hype and ensure that we understand the potential blockchain can have,” said Ms. transformed into an effective answer to the needs of developing countries.” Digital technology has played an important role in addressing the pandemic and enabling resilience in many ways. These include the use of big data and artificial intelligence for public health interventions and the use of digital services to accelerate infection surveillance and testing. Other trends include the use of the Internet and video conferencing platforms for work and education as well as expanding use of e-commerce and online entertainment platforms. “But on the other hand, those who lack affordable connectivity have been severely disadvantaged during this pandemic,” added Ms. Sirimanne. “Other challenges have emerged including misinformation. propagation, privacy and data protection, and network security. CSTD is a subsidiary of the United Nations Economic and Social Council (ECOSOC) and is the United Nations’ focal point for STIs to develop, in analyzing how STIs, including information technology and media, acting as a driving force behind the 2030 Agenda for Sustainable Development.

Fire fighting vehicles and equipment of the provincial police force of Firefighting and Firefighting are inspected and maintained regularly. The Fire and Rescue Police Department (Provincial Police) currently manages 34 vehicles for firefighting and CNCH, including 5 fire trucks, 2 ladder cars, 3 pump cars, 1 boat and 5 fire boats on the river. , sea. These are special vehicles with high usage frequency, effectively serving the task of ensuring fire safety in the area, so management and maintenance also set higher requirements than other conventional means. Major Nguyen Thi Thom, Team Leader of the Logistics Team, manager of fire protection vehicles and CNCH vehicles (Fire and Rescue Police Department, Provincial Police) said: Over the past years, there has been an increasing requirement for the task of ensuring security in love In the new model, we strictly maintain the maintenance and maintenance regime of fire-fighting and CNCH vehicles, proactively inspect and repair minor damage, promptly propose major repairs or replace vehicles, machines, Permanent service equipment is ready to fire at the highest level. Thanks to that, in time detecting problems to repair and replace spare parts, ensure regular operation of vehicles, meet urgent requirements when dealing with fires, explosions, CNCH. Right in the headquarters of the unit, fire engines, CNCH, fire pumps … are located in the covered house; fire fighting equipment and means of fire fighting and CNCH are stored in warehouses, neatly and scientifically arranged. The monitoring of warehousing and ex-warehousing is done carefully, regularly updated in accordance with the form, process and regulations. By 2020, the unit has received 9 new vehicles (including fire trucks, fire boats …), which have registered for the first time and periodically ensure according to regulations. At the same time, coordinated with the Logistics Department (Provincial Police) to repair and maintain 19 vehicles, fire pumps and CNCH with the amount of over 875 million VND. After receiving, they have been allocated and distributed to professional teams according to their functions. Repair and maintenance are carried out in accordance with regulations, ensuring quality and financial disclosure. With the vehicle management function, the inspection of fire protection vehicles is also seriously implemented, contributing to improving the administrative reform index of the unit. In an effort to reform administrative procedures, with the slogan “running out of work without running out of time”, CBCS are not afraid to work overtime, focusing on shortening the time to resolve administrative procedures. Accordingly, for the procedures for granting fire protection equipment inspection certificates, in order to create favorable conditions for enterprises and organizations to quickly carry out the work acceptance steps, the unit has reduced the processing time. from 30 working days as required down to 20 days. Statistics in 2020 show that the unit has resolved 125 dossiers requesting inspection of fire-fighting vehicles, granted 117 certificates of inspection of fire-fighting means and 8 written notices of fire protection equipment inspection results. In which, 100% of procedures and dossiers are received and processed ahead of time. In addition, the financial work is done seriously, openly and transparently, ensuring financial requirements for professional work. Financial resources and assets are managed, used effectively, and practice thrift. The collection, payment, management and use of the fire protection design appraisal and approval fee and the fire protection equipment appraisal fee comply with regulations. Major Vuong Duc Tho, Deputy Head of Fire Prevention and Fighting Police Department, said: The financial and logistics force of the unit over the past years has performed well the advisory function to ensure resources and funding to meet the work requirements. , regular and unexpected combat by the Fire Police force of the whole province. In addition, it has closely coordinated with the provincial police professional departments as well as professional teams under the unit to actively grasp, analyze, forecast the situation, advise the Party Committee, department leaders in orientation. invest, mobilize resources, meet the requirements of the police work in the new situation.

ICD Long Bien has a total area of ​​about 12ha, of which the warehouse area is 50,000m2 with throughput capacity of about 135,000 Teus / year. Long Bien ICD was put into operation even though this project is located on an area of ​​land with many existing mistakes that have not been resolved completely. Internet photo. On July 31, 2020, the Ministry of Transport and Hateco Logistics Joint Stock Company (investor) held a ceremony to announce the decision to open Long Bien ICD and activate the port into operation. At that time up to now, the project has not completed legal procedures for the procedures of transferring land use rights and supplementing land use purposes. In the opinion that Hateco Logistics JSC put the port into operation on the land, there are many mistakes and complete procedures such as: transferring land use rights, supplementing land use purposes. and overall acceptance of fire prevention and fighting … On December 14, 2018, the Hanoi City Inspector reached the Conclusion No. 6059 / KL-TTTP-P3 on a comprehensive inspection of the project at 12ha land in Sai Dong B Industrial Park (Long Bien, Hanoi). . The conclusion is clear: The 12ha land area of ​​Sai Dong B Industrial Park (Thach Ban ward, Long Bien district) was assigned by the Prime Minister to Hanoi Electronics Company (now Hanel Joint Stock Company) according to Decision No. 193 / TTg on April 24, 1993 with a 50-year lease term to joint venture with foreign countries to build the Orion – Hanel shaped lamp factory. Orion – Hanel Image Lamp Co., Ltd is a joint venture between Hanoi electronics company and Orion Electric Co., Ltd – Korea established to produce monochrome and color shaped lamps; Vietnamese parties contribute 30% of the legal capital, in which the rent for the 12 ha land in 43 years is 15,400,000 USD; operation period is 50 years from the date of investment license. Long Bien dry port until 2025 or until Co Bi and Phu Dong dry ports are completed and put into operation. In 2004, after being granted a land use right certificate with a useful life of 50 years, Orion – Hanel Pictures Co., Ltd. mortgaged assets with the value of land use rights, factories, production lines. production of picture lamps… long-term credit loans of 23,000,000 USD at BIDV Bank – North Hanoi Branch to invest in building a factory to produce picture lamps No. 2, to expand production. However, due to ineffective business operation and prolonged loss, as of June 2008, the accumulated loss is 47,762,000 USD, the company is no longer able to pay debts and has to cease operations. On March 30, 2017, BIDV Bank – North Hanoi Branch signed a contract to sell all debts of Orion – Hanel Lighting Co., Ltd. to Hanoi Infrastructure and Architecture Construction Joint Stock Company. with the price 530,000,000,000 VND. Next, on December 19, 2017, Hanoi Infrastructure and Architecture Construction Joint Stock Company signed a contract to transfer land use rights and assets attached to the 12ha land plot to Hateco Logistics Joint Stock Company. price: 206,289,000,000 VND. At the meeting on August 19, 2020 on inspecting the implementation of direction and handling after a comprehensive inspection of the project at the 12-hectare land plot in Sai Dong B Industrial Park, Long Bien District, Mr. Nguyen Quoc Hung – Vice Chairman The Chairman of the People’s Committee of Hanoi has asked the Departments and units to urgently implement the contents of handling and overcoming after a comprehensive inspection of the project on the 12-hectare land area where Long Bien dry port is operating. The direction for handling and overcoming existing problems. However, up to now, Long Bien dry port is still in operation on 12ha land, ignoring Conclusion No. 6059 / KL-TTTP-P3.

The 3rd Corps canned food staff packed up the product. In order to achieve high production efficiency, every month, the Logistics Department carefully scrutinizes the actual situation and develops a strict and specific plan; proactively exploit food sources from the results of breeding of agencies and units; ensure that the input materials are of high quality, fresh, and have clear origin and are produced according to the demand of the unit, without leaving any excess or shortage. The production process well implemented the closed process from slaughtering to the mixing of meat and fish, pasteurization and packaging, and preserving products before being exported to the units for use. Over the past ten years, meat and fish products of the 3rd Corps have become a “brand” in the hearts of the officers and soldiers of the unit. camp. Colonel Pham Van Bien affirmed: “From the results and experience in the past years, in the coming time, the Army Logistics Department will continue to direct the specialized agency to research and improve the quality of products in order to satisfy them. increasing requirements of the army and the task of training, combat readiness of the unit ”.

Greetings part of the Port Operation Team. The sport content consists of 3 parts: Greetings, rhetoric and general knowledge. In particular, in the general knowledge contest, the organizers used the software according to the color of the sport’s technology, ensuring high accuracy and competition not only in terms of correct and wrong answers, but also correct in time time to answer candidates’ questions. In the eloquence contest “Saigon New Port accompanies technology”, contestants of teams presented a number of topics related to the development of green ports, smart ports, logistics services and digital transformation technology with many ideas, models of information technology application in the management and operation of the Corporation’s 3 development pillars … Awarding prizes and giving souvenir flags to teams participating in the sport. The organizers of the sport festival said: This year, the contestants participating in the festival are carefully prepared, have sharp, intelligent and creative presentation skills. This is an opportunity for the Corporation to evaluate the quality of training, training, and professional qualifications of its staff members; promptly add to the training, training, and improve the quality of human resources; detecting and retraining individuals who are professional in production management and administration; promote the emulation movement to apply the achievements of the Industrial Revolution 4.0 into production, business … At the end of the sport, the organizers awarded the first prize to the port operation team; The second prize belonged to the Military – Economic Army. The remaining teams won the Third and Consolation prizes.

The aircraft carrying the Cessna Grand Caravan 208B trademark made its first self-driving flight. However, self-driving flights can only serve distances under 500 miles and are of considerable commercial importance. Xwing believes that they can gain a foothold in the context of increasing freight demand. “Over the past year, our team has made significant progress in expanding and refining its AutoFlight,” said Marc Piette, CEO and founder of Xwing. for seamless integration of operations from runway to takeoff, landing and flight operations, all overseen from our operations center via data link routes. In addition, our tested commercial freight operations have provided essential supplies including Covid-19 vaccine to remote communities as of December 2020 ”. The recently conducted flight is a Cessna Grand Caravan 208B-branded aircraft that has left the runway, took off, landed and returned to the fully automatic starting point. The flight is monitored remotely and all air traffic control interactions are performed from the ground. After the recent crashes related to the self-driving system failure on Boeing 737MAX aircraft, many people believe that passenger confidence has been significantly eroded. However, a recent ANSYS study found that was not the case. In fact, 70% of passengers say they’re ready to fly on self-driving flights. Xwing’s entry into the self-driving airline market is seen as the right moment. Recent reports show that by 2025, there will be a global shortage of about 34,000 pilots. The logistics services (logistics) are also under tension with the increasing demand for fast delivery. With the increase in e-commerce sales amounting to $ 4.2 trillion, the success of e-commerce inherently depends on the efficiency of the air transport industry. Xwing plans to leverage its technology for e-commerce logistics, allowing more access to small airports and more efficient freight transportation. Phan Van Hoa (according to ZDnet)

In this report, it is worth noting that Yunda Express, ranked 24th, is the only Chinese private franchise express company that has been shortlisted. Compared with last year, it has not only advanced by one place, but also its brand value has increased by 20.9%. 1. The rhyme of rhyme In August 1999, Nie Tengyun founded “Yunda Express” and set up its headquarters in Shanghai, China. So far, as the youngest person in charge of the Tongda Department, Yunda Express has developed into a comprehensive express logistics company under the leadership of Nie Tengyun. Service providers have a good reputation and influence in the express industry. According to public information, as of the first half of 2020, Yunda’s service network has covered 31 provinces (regions, cities) and Hong Kong, Macao and Taiwan regions across the country, and Yunda is present in more than 30 countries and regions around the world. The company has set up 60 hub transshipment centers across the country, and the direct operation ratio of hub transshipment centers is 100%. The company has 3795 franchisees and 32229 outlets and stores (including franchisees) across the country. In the first half of 2020, Yunda has completed a total of 5.629 billion express delivery services, a year-on-year increase of 29.88%, which is higher than the industry average growth rate by more than 7.8 percentage points; the express market share has reached 16.61%, which is an increase compared with the same period last year. 1 percentage point. In the Tongda department, Yunda is more confident: “Yunda has set up 60 self-operated hub transshipment centers across the country, and the proportion of direct operation of hub transshipment centers is 100%.” Experts in the industry said that Yunda’s rapid expansion can be attributed to the effective control of costs and the direct operation of the hub operation center. For Yunda Express, the direct operation rate of the transshipment center is 100%, which fully realizes the control of the transshipment center and the entire network by the headquarters, which helps to improve the service level of the enterprise. Yunda became the second express company to reach 10 billion votes in 2019. Also in this year, Yunda’s market share increased from 13.77% to 15.79%. Yunda’s ability to successfully catch up and counterattack in the “Tongda Series” express delivery is closely related to its excellent cost optimization strategy. From Yunda’s 2020 semi-annual report, we can notice that Yunda’s distribution income accounted for 54.92% of its operating income, which is an increase of nearly ten percentage points compared with 45.19% in 2019. Yunda’s excellent decision-making on direct operation of the hub center also laid the foundation for it to move to a higher level. Yunda reduces transportation costs through measures such as optimizing models and increasing loading rates, and uses technology to minimize the labor intensity of Yunda’s employees, thereby further reducing labor costs. In the future, Yunda will position itself as a courier company standing on the wheels of technology. A series of high-tech development and applications such as the establishment of Yunda-Intel Smart Logistics Laboratory and the exploration of 5G drones will surely reduce Yunda’s cost and increase efficiency. Second, catch up with late Compared with other express companies in the Tongda department, Yunda started late. In exploring the development model and development strategy of the company, it is committed to overcoming the existing shortcomings of the predecessors and establishing standardized operating procedures to achieve standardized management of the entire network. Nowadays, Yunda has further met the higher-level needs of customers and consumers through the power of technology. With the quiet arrival of the “Express delivery into the village” work of the State Post Bureau, Yunda has accelerated the expansion of the rural express delivery network to satisfy rural employment. Public information shows that in the first half of 2020, the coverage rate of cities above the county level in Yunda has reached 95%, and more than 400 towns have been opened “downward”. In 2019, Yunda’s performance was even more impressive. After adjusting the express delivery model, Yunda’s express service business revenue increased by 140.92% year-on-year, and it officially became the second global company with a business volume of 10.03 billion pieces. An express company with an annual business volume of over 10 billion yuan. The fast-developing Yunda seems to be improving its service level while gradually promoting the development of the entire industry. In the “Report on the Top 25 Global Brand Value Logistics Service Companies in 2021” released by Brand Finance of the United Kingdom, Yunda ranks among the top 25 global logistics brands. Moreover, as the only shortlisted Chinese private franchise express company, Yunda is not low-key in brand building. Pave the way for entering the international market and enhancing international competitiveness. On May 24, 2020, Yunda made another decision that triggered heated discussions in the express circle: Ningbo Fushan, a wholly-owned subsidiary of Yunda, as a strategic investor, subscribed for the non-public offering of Debon shares. The total amount of funds raised from the issuance of stocks does not exceed RMB 614 million and the subscription of 66.74 million shares of Debon makes Yunda the second largest shareholder of Debon. Yunda’s shareholding in Debon can be mutually beneficial for both parties. Yunda’s advantage in its own business scope is small and medium-sized express delivery, while Debon has been doing its best in bulk logistics in recent years. Taking this opportunity, Yunda can take advantage of Debon’s years of experience in express logistics in express delivery business. keep it up. With its own advantages in direct operation and cost optimization of the hub transshipment center, as well as its increasingly mature development model and business capabilities, Yunda is worth waiting for us to wait and see for the future development of Yunda!

By Thomas Pösl, BR Border controls and tough lockdowns in Europe: 2020 began with a burden for logistics groups. The drastic drop in consumption quickly spread to the forwarding, transport and logistics sector, said Frank Huster, General Manager of the Federal Association of Freight Forwarding and Logistics, DSLV. After the initial shock, however, things went up rapidly. Losses and slumps that companies experienced a year ago were more than overcompensated just a few months later, according to Huster. Example: the logistics company Dachser in the Allgäu. The Kempten-based company also went up economically in the second half of the year.

Dachser’s sales almost constant in the corona year

The Bavarian family company Dachser with 30,000 employees worldwide has adapted to the situation and has largely been able to avert economic damage. At the annual press conference – it is already the second that has to be held purely virtually – CEO Burkhard Eling now presented figures. According to Eling, sales fell by just under one percent to 5.6 billion euros. He is very satisfied with this: “It was a demanding and extraordinary year in every respect, which was shaped by the corona pandemic and its effects on the international supply chains.” Eling, who has been CEO of Dachser since this year, speaks of “overall positive indicators”.

Air and sea freight are the profit makers

In the corona year 2020, logisticians initially felt the pain of the production stops in industry. Because, among other things, the production lines at the car manufacturers were at a standstill, many trucks also stayed at the loading yards. According to Dachser, however, air and sea freight later turned out to be profitable. According to CEO Eling, the company was able to increase sales by 5.2 percent to 1.2 billion euros. Dachser also recorded an increase of almost two percent in the area of ​​food logistics. The annual turnover here is 982 million euros. The Allgäu family company does not provide any information on the profits.

Logistician facing “Herculean task”

The effects of Corona remain a constant burden for logisticians like Dachser. According to the Allgäu company, the signs point to growth. The Federal Association of Freight Forwarders also expects an increase this year compared to 2020, according to DSLV General Manager Huster. Because of the pandemic, a forecast is still difficult. According to Huster, the German logisticians have proven their efficiency in the pandemic. With the overcoming of the Corona crisis, the switch to alternative drives and a continuing shortage of skilled workers, the logistics industry now has three Herculean tasks to cope with at the same time. In the long term, investments should fuel sales. The Allgäu logistics company Dachser will also take money into their hands, it said. This year, 190 million euros are to flow into the areas of machine learning and artificial intelligence, among other things. For example, incoming goods shipments should be better predicted. In the end, that saves costs again.

Shi Zhenzhong, chief engineer of the Santongyuan Coal Terminal, told The Paper (www.thepaper.cn) that the annual coal transport capacity of Batuta platform is 38 million tons, and the unattended weighing house will reduce the weighing time of bicycles from the original 3 minutes. It was shortened to 10 seconds, the loading and unloading of the terminal was increased from 300 vehicles to 900 vehicles per day, and the throughput was increased by 3 times.

“With such a large operation center, many links including the smart weighing room have been unmanned. We only have 20 people including chefs and administrative staff, and we can handle all the operations.” Shi Zhenzhong said.

Logistic costs have always been the first cost factor in the coal industry. Statistics show that coal logistics costs have accounted for more than one-third of coal prices, even reaching 50% in individual regions.

“At present, the transportation cost of the entire coal industry is about 280 billion yuan. It is imperative to improve the efficiency of coal transportation and reduce the cost of coal logistics and transportation.” said Zhao Xiaoli, a coal industry analyst.

Ordos is a major coal-producing city in Inner Mongolia. The annual coal production and transportation volume is nearly 700 million tons, of which 400 million tons are transported by road. There are 4 special coal transportation lines passing through, namely Shuohuang Line, Daqin Line, Mengji Line and Haoji Railway . A coal mine with an annual output of about 40 million tons requires about 2000-3000 heavy trucks to transport it.

In Ordos, there are truck drivers from all over the country who commute between the coal mine and the shipping station every day. According to the Inner Mongolia TV station news network report, Ordos accounted for more than 60% of the 69 network freight companies in the Inner Mongolia Autonomous Region, with 39. In 2020, more than 60% of logistics companies in Ordos will have access to the smart logistics platform.

Smart logistics, that is, through intelligent software and hardware, Internet of Things, big data and other technical means, to achieve refined, dynamic, and visualized management of all aspects of logistics, improve the ability of intelligent analysis and decision-making and automated operation execution of the logistics system, thereby improving the efficiency of logistics operation Logistics model. In the field of coal, it is to rely on the big data platform of the coal industry to establish an information flow mechanism for all parties involved in coal production and transportation, and to promote the smooth connection of coal production arrangements, storage, transportation and logistics. The Internet of Things technology company G7 is the technology supplier of the unmanned weighing room system at Santongyuan Terminal.

“There are about 350 coal mines normally being mined in the Ordos region, and the volume of coal logistics in the entire Ordos region is about 22 billion yuan. However, the overall intelligence and intelligence level of the Ordos region should be at a medium level. There is a lot of room to continue to optimize.” Zhao Xiaoli told The Paper (www.thepaper.cn).

Zhao Xiaoli believes that the core utility of smart logistics is to improve the efficiency of the entire coal industry chain supply chain, and smart dispatch can greatly reduce the cost of coal transportation.

“Currently, the data information of the coal industry chain supply chain is opaque. After an ordinary express order is placed, you can see real-time data updates on your mobile phone at any time, but the coal industry can basically only see a part of their own data. Data is invisible.” Zhao Xiaoli believes that smart logistics is to open up the data and information of the entire industry chain, from the coal mine to the power plant, connecting various key nodes through smart equipment and smart technology.

Smart logistics not only saves labor costs for the terminal, but also facilitates freight dispatch, and ultimately directly benefits the group of large cargo drivers.

At the coal storage yard of Baotou Power Branch of Huadian Inner Mongolia Energy Co., Ltd., The Paper News reporter saw that after trucks from the Ordos Coal Mine unloaded the containers full of coal, the empty containers were hoisted onto the truck again, ready to return. . The loading and unloading process of a truck only takes 15 minutes.

According to the relevant person in charge of Huadian Baotou Power Branch, in the past, the average waiting time for ordinary heavy coal trucks to reach the gate of the power plant was 5 to 6 hours. There will be no dust and no coal during the 15-minute transportation.

Li Kui, Secretary of the Party Committee of Ordos Xinhe Group, told The Paper (www.thepaper.cn) that Xinhe Group is trying to fully integrate its coal transportation with G7’s digital freight full-chain services to achieve procurement, sales, park scheduling, transportation, and settlement. Digital management in multiple links.

“In the inherent transportation system, drivers have to line up to pull coal at the mine; we dispatch cars and don’t know if coal is available in the coal mine. We have to call and ask acquaintances, which is very inefficient.” Li Kui said.

Li Kui introduced that at present, the system can dispatch the waybills by retrieving queuing information of coal mines through the Internet digital platform. The number of orders received by the driver, the number being transported, and the number delivered will be automatically sent back to the system, and the background can monitor all the conditions of the car transportation at any time. “The driver used to pull once a day, but now he can pull three times a day.” Li Kui said.

Li Kui said that the digital logistics system has also realized unattended coal mine weighing houses, which provides convenience to truck drivers. “The driver takes orders online and settles online, and he won’t be asked by food or card. In the past, there were people on duty in the coal mine pump room, and the driver had to stop and get off the truck. Check with the pump room to record the data of the coal. The cars are gone.”

A person in charge of a local coal logistics company in Ordos told The Paper that in the coal field, it is difficult for a truck to travel more than 15,000 kilometers in a month because the truck drivers spend a lot of time in queuing.

According to G7’s calculations, the average monthly mileage of vehicles of large express delivery companies can reach 30,000 kilometers.

“Inefficiency is low, which ultimately leads to an increase in unit cost. A major pain point for drivers is efficiency. It is normal for logistics drivers for bulk commodities to stay in the car at the door of a certain factory or mine for two or three days. This is all provided through G7. Based on the data, we can calculate when the driver enters the power plant and the terminal, and try to control the time for the driver within a more reasonable range,” said the person in charge of the logistics company.

The Paper Journalists combed and found that the goals of optimizing coal logistics and transportation were mentioned in the “14th Five-Year Plan” of many key coal-producing provinces. Among them, the concept of “smart logistics” has been mentioned many times.

Inner Mongolia proposed that it should focus on smart transportation infrastructure and smart energy infrastructure, accelerate the deep integration of digital technology, energy and transportation; accelerate the cultivation of third-party logistics companies, and vigorously develop multimodal transportation, drop-and-hook transportation, network freight and other characteristics Logistics, build or transform a batch of intelligent warehousing and logistics demonstration bases, adjust the transportation structure, and continue to promote the transfer of bulk cargo to railways.

Gansu proposed to accelerate the construction of new infrastructure, vigorously develop smart transportation and smart logistics; strengthen the construction of coal production, supply, storage and distribution system, and promote the construction of “North-South coal transportation” and “Mongolian coal internal transportation”.

Yunnan proposed to accelerate the construction of a modern integrated logistics system, rationally lay out logistics hubs, speed up the layout of overseas logistics markets, build a modern logistics operation system of “channel + hub + network + platform”, and promote the formation of a multimodal logistics network across the province. Build into a regional international cargo hub, and build Kunming into a regional international air cargo hub. Strengthen the infrastructure construction of smart logistics platform.

Not long ago, the “2020 Annual Report on the Development of the Coal Industry” issued by the China Coal Industry Association proposed that in the future, it will take advantage of 5G, big data, informatization and intelligent technology to accelerate the development of modern coal logistics and smart logistics, and promote a modern coal trading market. System construction.