Finite state machine-based parcel transporting state monitoring method

Abstract

The invention provides a finite state machine-based parcel transporting state monitoring method, which is used for monitoring the transporting state of a parcel in a logistics transportation system. The aim of monitoring the transportation process of the parcel in real time is fulfilled by modeling aiming at the transporting state of the parcel during the overall transportation process, monitoring various events in the parcel through a wireless sensor node built in the parcel, skipping to different transporting states according to a finite state machine, and taking corresponding treatment measures for each state. According to the method, the monitoring of the parcel transporting state is realized by the wireless sensor node with sensing capacity and certain computing capacity; and analysis, treatment and decision making can be performed without transmitting the logistics state information to a background server, so that the decision making and the treatment of the parcel are performed more timely, the autonomous control of the parcel transporting state is realized, the burden of the background server is lightened, and the optimization of a logistics network is realized.

Description

technical field [0001] The patent of the present invention relates to the field of logistics monitoring, in particular to the field of cargo parcel transportation monitoring. Background technique [0002] The scale of the logistics system and its network is getting bigger and bigger, the structure is more and more complex, and it is in constant change. In such an environment, to achieve an efficient logistics operation process, one must be able to: 1) collect logistics information in real time, including goods, equipment, etc., and understand the current operating status of the logistics system; 2) quickly analyze the massive information generated by the logistics system Processing and analysis to make decisions in real time and optimize the operation of the logistics network. Ultimately, it is guaranteed that the correct products needed by customers can be delivered to the right place at the right time, in the right quantity and quality at the right price. [0003] Most o...

AI Technical Summary

Problems solved by technology

[0006] Although the above methods have optimized the management of the logistics system to a certain extent, they cannot meet the needs of current logistics operations.

Barcode labels must be within the range of the reader, and do not have any perception, computing, and communication capabilities. Real-time collection of logistics information requires the deployment of complex systems and facilities

RFID technology does not require RFID tags and readers to be within the scope of implementation. However, RFID tags cannot perceive the status of items, such as temperature in food transportation, pressure in chemical transportation, vibration, etc., and these information are important for ensuring the quality of items. very important

Moreover, the object representation, location and event information generated by RFID needs to be sent back to the background server for processing, so that with the rapid change of logistics information, massive real-time data streams will be generated, which will bring great load to the network and background servers, and It is difficult to meet the requirements of real-time decision-making

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