Logistics container monitoring platform based on big data

Abstract

The invention discloses a logistics container monitoring platform based on big data, and the platform comprises a data collection module which comprises a temperature collection module, a humidity collection module, an image collection module, a gas detection module, a power supply module, and a signal sending module. The temperature collection module, the humidity collection module, the image collection module and the gas detection module are electrically connected with the power supply module; the temperature collection module, the humidity collection module, the imagecollection module and the gas detection module are in signal connection with the signal sending module; and the temperature collection module is used for acquiring real-time temperature data in a logistics container so as to judge the relationship between goods deterioration and temperature. According to the scheme, the relation between the temperature and humidity and the rotting degree of the fruits can be analyzed, so that the temperature and humidity are accurately adjusted, the rotting degree of the goods in the container can be monitored in real time, and the rotted fruits can be conveniently taken out in time.

Description

technical field [0001] This application relates to the field of logistics technology, in particular, to a big data-based logistics container monitoring platform. Background technique [0002] Today's society is a rapidly developing society, with advanced technology, information flow, people's communication is getting closer and closer, and life is becoming more and more convenient. Big data is the product of this high-tech era. Big data (big data), a term in the IT industry, refers to a collection of data that cannot be captured, managed and processed by conventional software tools within a certain period of time. It requires a new processing model to have stronger decision-making, insight, and Massive, high growth rate and diverse information assets of process optimization capabilities. [0003] Logistics containers can transport a variety of goods, among which fruit is a difficult problem in transportation. Fruits are easy to rot during storage and transportation. At pres...

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Problems solved by technology

[0004] The main purpose of this application is to provide a logistics container monitoring platform based on big data, so as to improve the related technologies that cannot accurately adjust the temperature and humidity, and cannot monitor the rottenness of the goods in the container in real time, and it is not convenient to take out the rotten fruits in time. question

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