什麼是物聯網冷鏈管理?

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1. 什麼是物聯網冷鏈?

什麼是物聯網冷鏈?

A type of Internet of Vehicles technology as well with massive data mining, 3G wireless IoT technologies and intelligent remote control as the core means, the smart cold chain is a new generation of operation and management tool that combines the four elements of “people, 汽車, lines and goods” tailored for cold chain vehicles based on the IoT cloud computing platforms and with the integration of intelligence, electronization and information technology. With the combination of intelligent control technologies and the mobile Internet and then the application of the combination in the cold chain, it ultimately realizes intelligent control of the whole cold chain for the products which are delivered from the warehouse to consumers’ homes. With the connection of WeChat and other third-party applications, consumers can monitor the in-transit situations and preservation of their goods in real time on their cell phones. Aucma achieves functions like inventory management, 訂單管理, intelligent distribution as well as energy consumption management using the smart cold chain, which can help the company control the changes in the number of goods in transit in real time and substantially boost the working efficiency.

2. What is IoT in supply chain?

Significantly affected by the Internet of Things, 這 IoT supply chain can help achieve the visibility of the transportation processes. An Analyst firm, Berger Insight, expects that there will be a strong focus on cargo transportation security and the increase in supply chain visibility in the following years. 另外, the tracking of trailers and intermodal containers becoming more prevalent and technological advances enable even smaller logistics units to be tracked at a more reasonable price. The units include individual pallets or cargo boxes.

3. What are the functional processes of a smart cold chain?

What are the functional processes of a smart cold chain?

The technical basis for realizing the intelligence of cold chain logistics lies in the use of 5G, 物聯網, Blockchain, 人工智慧, 大數據, cloud computing and so on. 也, the digitalization level of the cold chain logistics is also a fundamental guarantee to ensure the safety of the entire life cycle of cold chain items, which is conducive to achieving intelligence management of various links of the supply chain involved in the entire life cycle of cold chain items (生產, 加工, 包裹, 加載 & 卸貨, 運輸, 貯存, city distribution, 展示, destination delivery, ETC。).

在過去的日子裡, the traditional traceability systems of cold chain food can usually only trace the manufacturing enterprises, which is unable to make the cold chain food traceable to the entire chain of every link. 然而, with the digitalization of cold chain logistics, the system is expected to truly achieve entire traceability. How can the multi-dimensional state be used to gather data? The answer is mobility (wireless), labeling and multiple functionalities.

首先, 流動性. 以便監控第三方物流溫度控制, 系統可配備行動裝置. 更重要的是, 監控設備需配置GPS模組. 然後在幫助下 全球定位系統 和地理資訊系統技術, 監控中心可對貨櫃車輛進行地理位置定位和調度. 另外, 在冷鏈車廂或冷庫庫存等情況下, 各點溫度不完全均勻統一. 所以, 多點監控成為需求點. 例如, 出風口溫度較低,不會影響貨物. 然而, 如果貨物靠近卡車門,情況會有所不同.

第二個是標籤. 從車間到運輸, 儲存及銷售, 運輸途中的貨物需要用標籤進行追蹤. 標籤中包含的資訊應全面,包括產品代碼, 生產原點管理, 農戶編碼與流通環節管理,在標籤的支援下,物品全週期安全可追溯.

最後, 多功能. 可以建立預警系統. 如果溫度和濕度的變化範圍超出預定範圍, 系統會自動發出警告. 如果曲線中間有一段記錄明顯低於 20 ℃ 就溫度而言, 可以從系統的時間點查詢對應的地點和外在環境,以探討對應溫濕度變化的原因. In addition to the collection of temperature and humidity control, the intelligent control of the environment temperature can also realize through software and hardware. 例如, the temperature of the cold inventory can be intelligently controlled. The control of the refrigeration systems can be achieved by some control-type labeling equipment and the backend analyzes the cold inventory temperature situation in real time. When temperature control is needed, the system will achieve automatic remote control of the temperature of the refrigerated machine and then applied to stores and transport vehicles.

4. The difficulties facing the smart cold chain

The difficulties facing the smart cold chain

(1) Insufficient refinement of cold chain operation & poor service quality

關於 90% of meat, 80% of aquatic products as well as a large amount of milk and soybean products are still basically distributed and sold without the entire cold chain promise. This not only leads to the loss of fresh food but also makes people worry about the quality and safety of fresh food.

(2) The relatively backward development of hardware facilities & inadequate supply of cold chain equipment

The growth of cold chain logistics hardware facilities in developing countries is relatively backward. Take cold storage as an instance: 現在, the supply of cold storage is very inadequate. The developing countries have 0.1 cubic meters from the perspective of cold storage per capita, which is far behind compared with 0.3-0.35 cubic meters per capita in Japan and 0.4 cubic meters per capita in the United States.

(3) Lack of standardized management of cold chain logistics leads to increased cost loss

The annual consumption of perishable food exceeds 1 billion tons, of which more than 50% requires cold chain transportation. 然而, the current comprehensive cold chain circulation rate only reaches 19%, which leads to high rates of decay and loss of agricultural products. The annual loss of fruits and vegetables alone registers more than 100 billion RMB. Due to the lack of standardized management of cold chain logistics, it directly results in additional loss of goods and increased prices of cold chain logistics.

5. The strengths of smart cold chain

The strengths of smart cold chain

Sensor Deployment

One of the key parts of the smart cold chain lies in sensor deployment, which requires tens of thousands of sensors to be embedded in all corners. 因此, the data gathered will be intelligently analyzed using AI to bring physical equipment to life. It can be said that small sensors promote digital changes, allowing everything to be quantified while realizing information collection in processing and other operational aspects.

ntelligent Decision-making

The application of sensors and AI technology allows intelligent decision-making to be more advantageous. The aim of intelligent decision-making is to transform information on cold chain logistics into better actions that can be handled regardless of the scales. It is crucial to use big data technology to identify issues in cold chain transportation and replace relevant experience with knowledge to make intelligence come true.

Automation Control

Data is perfect. 然而, what should be more perfect is decision making and control. Through the big data algorithms, intelligent and precise decision making can be transferred to the automatic control of cold chain logistics. The special features of cold chain transportation require online monitoring, remote diagnosis, automatic supervision and intelligent control of the equipment.

Transportation Effect & Benefit

The data aggregation or display cannot tackle any pain points. The research and development of intelligent cold chain logistics technologies are to boost the cold chain transportation efficiency by monitoring every link. 因此, it is fundamental to achieve expected results by utilizing intelligent logistics technologies to showcase products, achieve good communication, enhance quality, ensure safety as well as decrease losses.

nline Measures

A prevalent issue in cold chain logistics is the large transportation volume but a low degree of online sales. The transparency of logistics, as well as the transportation collection of cargo owners are highly low and the volatility of the price is relatively large. 另外, the service guarantee is insufficient. 因此, all kinds of resources should be fully integrated and optimized. 也, the maximum use of Internet technologies can help break through so that the cold chain circulation becomes more efficient, more transparent and more secure.

6. What are the fields being applied with the smart cold chain?

What are the fields being applied with the smart cold chain?

Enterprises that focus on cold chain storage fields are mainly engaged in the processing, storage and transportation of fresh vegetables, meat, seafood, meat and frozen food. Mobile intelligent terminals, the data collection terminal equipment, are mainly applied in various links such as the cross-warehouse distribution of commodities, fleet management as well as pick-up of goods to realize data-based functions, informationization and digitization of the cold chain storage working processes. 所以, these are the vital operational tools necessary for workers in cold chain storage.

(1) Fleet Management

Through the locating system and data collection as well as the record of mobile intelligent terminals, employees are able to realize real-time monitoring of the locations and statuses of all assets in the process of cold chain transportation to achieve digital management and control of the fleet, thus ensuring accurate delivery of goods to customers.

(2) Regular Stocking

By using the mobile intelligent terminals, workers are able to collect and record all the statuses and information of all goods in the warehouse throughout the whole process from the warehousing and shelves to the shipment. Then the statuses and information can be uploaded to the system backstage in a synchronized way. 因此, personnel who is in charge of the inventory can view the system to learn about the current inventories in the warehouse to complete the stocking as well as inventory analysis and management, thus boosting the productivity of the warehouse.

(3) Stock preparation and shipment

Personnel who is responsible for the delivery of goods scan and confirm orders through mobile intelligent terminals, using the label printers to print accurate destinations for shipping labels to achieve fast shipment. 同時, recording the shipping status will be recorded in the system backend so that the relevant information can be read and utilized for the next logistics link.

(4) Task Collection

Working staff receives and collects tasks directly on the mobile smart terminals at any time and location. 在那之後, the terminals can be quickly scanned to record the information as well as weight and calculate the size. The electronic signature function of the mobile intelligent terminal can be used to sign names to ensure the handover, realizing rapid parcel collection and distribution.

(5) Return of Goods

Through mobile smart terminals, staff can make sure that every returned parcel is able to be processed in a timely and efficient manner. The mobile smart terminal will scan and record the status of returned goods upon receipt to ensure that they are put back into the 倉庫 for the purpose of refurbishment or the stop of use.

7. What are the technologies being used in the smart cold chain?

What are the technologies being used in the smart cold chain?
  • In-warehouse Technology

Robots, as well as automated pickup & 分選技術已充分發展並廣泛應用. 主要有四種技術類型, 包括機器人技術和自動拾取 & 排序, 穿戴式裝置, 無人駕駛堆高機和貨物識別. 所有這些都適用於倉庫內處理等操作, 貨架和分類. 一些在這些領域處於領先地位的外國公司很早就採用了這些技術並已開始商業化. 亞馬遜、DHL快遞等國外企業, 以及京東等國內企業, 菜鳥、申通已佈局該領域業務.

  • 主線技術

主線技術主要代表無人駕駛卡車技術. 幹線物流現有模式的改變將在無人駕駛卡車的幫助下發生, 目前仍在研發過程中,但已經取得了良好的成果. 現在, 該技術正在商業化之前進行測試.

  • 最後一哩路的技術

最後一公里的技術主要包括 2 主要類別. 它們是無人機技術和3D列印技術. 正處於發展良好的階段, 無人機技術已在京東等國內外物流企業進行商業測試, 順豐, DHL快遞等. 3D技術已處於研發階段. 僅限亞馬遜, UPS等企業已開發出技術面.

  • 端端技術

新的端到端技術主要指智慧快遞櫃, 是各大企業技術佈局的重要組成部分. 現在, 該技術已率先商業化- and second-tier cities. 然而, there will be a lot of uncertainties for the future development of the technology due to the issues like the limited cost and the usage habits of clients.

  • Smart Data Bases

The database mainly consists of 3 major areas with the coverage of IoT, big data and artificial intelligence. IoT technology and big data analysis techniques provide support to each other, which represents that the IoT technologies provide parts of the analysis data sources for the big data analysis technology while the latter operationalizes the data of the former one. 然而, artificial intelligence is the improved version of big data analysis. Through the collection and analysis of commodity flow and logistics data, the big data analysis technology is mainly utilized in areas like demand estimation, storage network, router optimization as well as equipment maintenance warning, which are vital focuses for the growth of intelligent logistics in the future as well as the key to the issue that whether intelligent logistics can be further upgraded and iterated.