Fresh product cold-chain logistics detection system and method based on Internet of Things

Abstract

The invention discloses a fresh product cold-chain logistics detection system based on Internet of Things (IOT). The fresh product cold-chain logistics detection system comprises a product informationacquisition and processing module, a logistics information acquisition and processing module and an information sharing module, wherein the logistics information acquisition and processing module comprises a detection unit, a transmission unit and a processing unit. A fresh product cold-chain logistics detection method based on IOT is also provided and comprises steps of: collecting the information of fresh products in advance before logistics loading; acquiring and processing the logistics information of the fresh products of each customer in real time during logistics transportation; enabling the customers to query the logistics information and the product information of the fresh products through order numbers in real time. The system and method realize the real-time detection of the fresh product logistics information, and really and completely disclose the fresh product information.

Description

technical field [0001] The invention relates to the technical field of logistics detection, in particular to an Internet of Things-based cold chain logistics detection system and method for fresh products. Background technique [0002] Cold chain logistics generally refers to a systematic project in which refrigerated and frozen foods are always kept in a specified low temperature environment in all links of production, storage, transportation, sales, and consumption to ensure food quality and reduce food loss. It was established with the advancement of science and technology and the development of refrigeration technology. It is a low-temperature logistics process based on refrigeration technology and using refrigeration technology as a means. At present, with the rapid development of the e-commerce industry, online shopping has largely replaced physical store shopping, and more and more people choose to stay at home to buy various products, including fresh products; fresh ...

AI Technical Summary

Problems solved by technology

[0003] At present, e-commerce companies on the market have a lot of problems in the logistics and transportation of fresh products, so the market profit in this area is very low. The reasons are as follows: The requirements for temperature and humidity in logistics and transportation are extremely high. Strict, without real-time monitoring, resulting in the failure of refrigeration facilities in the middle of the process, the temperature rises, and the product deteriorates; and the detection index is too single, and multiple indicators are not detected at the same time, such as gas and pressure, to prevent fresh products from being deformed due to extrusion during transportation ,damage

In addition, consumers now pay more attention to a healthy diet. They are very concerned about whether the product contains pesticides, whether it is quarantined, and whether it is a postal product. Online shopping products do not disclose enough information in this regard. Some consumers feel that online shopping is different from ideal expectations. It is too large, so many customer resources are lost, resulting in the downturn of the e-commerce industry for fresh products; therefore, it is urgent to design a logistics detection system that can realize real-time detection of logistics information and true and comprehensive disclosure of product information

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