Intelligent monitoring and sampling method, device and cold chain vehicle during cold chain transportation

Abstract

The invention provides a method and device for intelligent monitoring and sampling of a cold chain transportation process, and a cold chain vehicle. The method includes: acquiring vehicle position monitoring data and compartment environment monitoring data in real time during the cold chain transportation process; monitoring the vehicle position acquired in real time The feature extraction of the data is carried out to obtain several vehicle position feature points; according to the obtained several vehicle position feature points, the characteristic time period corresponding to every two adjacent vehicle position feature points is obtained; for the compartments in each characteristic time period Feature extraction is performed on the environmental monitoring data to obtain the car environment feature points in each characteristic time period; the vehicle position feature points and the car environment feature points in each characteristic time period are obtained. The intelligent monitoring and sampling method provided by the present invention compresses the collected data in the process of cold chain transportation through the extraction of feature points. Since the compressed data only retains the characteristic data, it can not only reduce the pressure of data network transmission, but also save server storage. space.

Description

technical field [0001] The invention relates to the technical field of cold chain logistics, in particular to an intelligent monitoring and sampling method, device and cold chain vehicle during cold chain transportation. Background technique [0002] Cold chain logistics of agricultural products is an effective way to reduce the loss and pollution of agricultural products and ensure the quality and safety of agricultural products. In order to improve the market competitiveness of fresh agricultural products and enhance the ability to control and coordinate products during transportation, managers usually monitor GPS equipment and environmental sensors are installed on logistics vehicles to obtain real-time vehicle location and compartment environment (such as temperature, humidity, etc.) information during transportation, and send the data to a remote server. [0003] The value of collected data (vehicle location and cabin environment information) is concentrated in its real...

AI Technical Summary

Problems solved by technology

However, the above does not apply to some specific environments, such as the cabin environment remains stable for a long time, the vehicle trajectory is simple or the vehicle is moving slowly, etc., because in this case there will be a large amount of the same or similar data, and there are serious problems in collecting data. The problem of data redundancy not only wastes network resources, but also takes up a lot of storage space

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