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【2020 Solutions】 AI cold chain transportation chain breakage warning system significantly reduces the loss of goods due to temperature loss

Farmers work hard in the fields to produce the freshest, nutritious and delicious crops. Without a good cold chain transportation system, not only will farmers’ hard work go to waste, but agricultural enterprises will also suffer losses due to temperature loss and damage to refrigerated goods. Loss has also become a major pain point. The AI ​​cold chain transportation chain break warning system can help reduce costs and improve the efficiency of fruit and vegetable transportation and preservation.

Zhongtian Technology, founded in 2017, is committed to using Internet of Things technology to develop smart agriculture. In addition to winning many awards such as the Smart City Innovation Application Award, it has also assisted private institutions such as Xingnong Group and the Agricultural Experimental Institute in the construction of Smart agricultural software and hardware equipment.

Monitoring temperature throughout the cold chain must rely on AI technology to assist

Chen Zhiming, chief consultant of Zhongtian Technology and a professor at the School of Information at Lingdong University of Science and Technology, said that Xingnong Group, which has more than 200 fertilizer supply centers across the country, and its Yumei Research Company have the most high-end greenhouses in Taiwan, and its products include crops such as beef tomatoes. , supplying Formosa Steaks, McDonald's, COSTCO and five-star hotels, etc. Yumei Research itself has 3 refrigerated trucks and 12 refrigerated rooms. However, the transportation of vegetables, fruits, fresh food and other food needs to be kept in a low-temperature environment. The ambient temperature, humidity, carbon dioxide, position, and opening and closing of the transportation box during transportation need to be monitored in real time for owners to ensure Understanding whether the quality of refrigerated food storage and transportation is affected by temperature changes cannot be done through human monitoring and must rely on the assistance of AI technology.

▲Agriculture 4.0 simple APP operation interface

At present, the general practice of cold chain equipment manufacturers is to place wireless temperature recording devices in refrigerated goods and transport them together to record whether the quality is affected by temperature changes during the entire transport process. A small number of refrigerated trucks also use 4G networks to transmit The temperature information of the refrigerated space in the vehicle provides monitoring of temperature changes in the cold chain during movement.

However, the above two methods can only know whether the quality of the product is affected by temperature changes at the final arrival time, and cannot provide analysis and early warning for various conditions that may occur during product storage and transportation to ensure refrigeration. Quality assurance and instant feedback of information during product delivery.

information.

ICT/IoT technology in agriculture Schematic diagram of cooperation

▲Schematic diagram of cooperation between ICT/IoT technology in agriculture

Once the cargo status is abnormal or is about to occur, the AI ​​system can immediately execute warning notifications, which can reduce the loss of broken links caused by environmental changes. The overall cold chain monitoring scope extends from logistics and transportation to unloading, transshipment and storage, thereby building a complete cold chain monitoring system.

AI technology is introduced into the cold chain system, reducing product damage rate by 75%

Chen Zhiming said that after the system is established, the proportion of refrigerated goods that are damaged due to temperature changes can be reduced by 75%. At the same time, through AI intelligent judgment and statistical analysis algorithms, real-time information on each storage space, delivery vehicle and even pallets can be provided. Usage status, it can provide intelligent scheduling and data analysis to increase the utilization rate of the overall cold chain system by 20%, which is a good result.

Taiwan Fengkang Supermarket, owned by Yumei Research Company, has 48 stores north of Hsinchu in the province, with a wide range of products and 100 refrigerated trucks. It is currently being planned by Guoxing Information, hoping to break the AI ​​​​cold chain transportation chain. The early warning system has been introduced into Fengkang supermarkets across the province, allowing consumers in metropolitan areas to enjoy better quality refrigerated fresh fruits, vegetables and food.

In addition to the AI ​​​​cold chain transportation chain breakage warning system that solves the problem of freshness throughout the entire process "from the production area to the supermarket", agricultural enterprises also have a pain point. In order to save electricity during the transportation process, outsourcing manufacturers may turn off the air conditioners on the vehicles. In other words, during the 2-4 hour transportation process, the air conditioner may be turned on in the first half hour and the second half hour, and may be without air conditioning at other times. In this situation, a Bluetooth data collector can also be installed in the pallet. Temperature data is collected every five minutes to ensure that the goods are kept fresh throughout the transportation process.

Refrigerating temperature trend changes

▲Changes in refrigerated temperature trends

Greenhouse temperature and humidity change trend chart

▲Greenhouse temperature and humidity change trend chart

Chen Zhiming said that Xingnong Group is Taiwan's leading agricultural enterprise. Its subsidiary Guoxing Information can build a powerful AI expert system through knowledge in the agricultural field. From greenhouses, logistics vehicles, warehouses, sub-warehouses to supermarkets, it can collect and collect data throughout the entire process. Get refrigerated truck information. For ordinary small farmers, resources are not abundant. In the future, Zhongtian Technology will cooperate with Chunghwa Telecom to provide mobile APP promotion for a monthly fee to assist farmers in real-time monitoring of the environmental temperature, humidity, and wind speed required for planting. Information such as direction, sunshine and rainfall can be used to facilitate farmers to respond early, and multiple fields can be controlled at the same time, which will greatly reduce the need for manpower and achieve the purpose of smart planting.

Chief Executive of Zhongtian Technology Consultant Chen Zhiming

▲Chen Zhiming, Chief Consultant of Zhongtian Technology

「Translated content is generated by ChatGPT and is for reference only. Translation date:2024-05-19」

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【解決案例】神經元科技 動鑑觀顫 以眼為始 最佳智慧醫療輔助者
Neuron Technology, moving and observing, starting with the eyes, the best smart medical assistant

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【解決方案】小柿智檢 以「AOIAI」雙劍合璧,軟加硬體千錘百鍊 打通外觀瑕疵檢測任督二脈
Xiaoshi Intelligent Inspection uses the two swords of "AOI + AI" to combine software and hardware to open up the two channels of appearance defect detection and supervision.

Quality inspection, like a double-edged sword, has always been a favorite and painful subject for Taiwanese manufacturers When AI deep learning enters the industrial visual inspection of traditional manufacturing industries, it can not only save inspection manpower investment, solve the problem of inconsistent manual visual standards, overcome the limited visual recognition and defect detection blind spots of traditional automatic optical inspection AOI, and also enable real-time traceability Causes of quality problems The overall AIAOI visual inspection solution developed by Xiaoshi Intelligent Inspection integrates software and hardware to create efficient appearance defect detection capabilities, helping electronics OEM customers create high-efficiency products with a miss detection rate of less than 1 and an overkill rate of less than 3 Check the level Xiaoshi Intelligent Inspection was established in 2020 Although it is a new venture two years ago, it did not start from scratch 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more standardized and sell them to overseas markets, the company will conduct a fundraising plan at this stage, hoping to use legal persons such as the Capital Strategy Council to assist in more business connections and fundraising channels For the medium and long-term goals, Xiaoshi Intelligent Inspection will lay out the global market including mainland China and Southeast Asian countries At the same time, it will follow the international footsteps of major OEMs in global layout Under the target inspection project, it will continue to develop specialty products and spread towards the international field 「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」

【解決方案】台灣軟體科技實力媲美國際 Golface智慧服務促高球轉型
Taiwan's Software Technology on Par with International Standards: Golface's Intelligent Services Transform Golf

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Therefore, replacing manpower with digital tools yields twice the result with half the effort The golf cart tablet has entered the Japanese golf market, installed at Fukuoka Century Golf Club Golface's golf cart tablet has been introduced to 14 domestic courses, and has now officially entered the Japanese market, favored by Fukuoka Century Golf Club, where tablets have been installed in carts providing automatic voice announcements for hitting strategies, distance measurements, and visual charts displaying hitting data During the COVID-19 pandemic, with borders closed, Golface utilized OTA technology to provide software updates and troubleshooting, ensuring uninterrupted services, which was highly appreciated by the Japanese golf courses Tsung-Che Liao remarks that Taiwan's software technology is not inferior to other countries like Japan, but more support from golf courses is needed to help transform the industry intelligently 'To assist in the transformation of golf courses, the first step is digitalization,' Liao pointed out By helping courses accumulate data and understand customer service cycles and hitting rhythms, it enables courses to avoid congestion and serve more customers To date, Golface has accumulated data on over 20,000 teams, 35 million scorecards, and over 10 million records This data helps enhance management performance, segment customer layers, reduce complaints, and plan marketing strategies for off-peak periods Golface co-founder and CEO Tsung-Che Liao has spent 9 years deepening intelligent golf services, aiming to build Taiwan's first golf entertainment platform「Translated content is generated by ChatGPT and is for reference only Translation date:2024-05-19」