CN-122022650-A - Cargo position detection system for cold chain logistics

CN122022650ACN 122022650 ACN122022650 ACN 122022650ACN-122022650-A

Abstract

The invention relates to the technical field of logistics transportation, in particular to a cargo position detection system for cold chain logistics, which comprises a data acquisition module, a position prediction module, a position early warning module, a strategy determination module, a cargo state module and a position calibration module, wherein the data acquisition module is used for acquiring cargo position and state data in real time, the data acquisition module is used for determining the running track and the predicted position coordinates of cargoes based on position data, determining qualified position prediction modules through matching degree, the position early warning module is used for determining early warning values according to disqualification of the matching degree, the strategy determination module is used for determining early warning strategies according to determining the deviation degree of a path and determining whether cargo transportation paths are qualified according to data credibility, the cargo state module is used for determining cargo states based on cargo collision times in response to the cargo transportation path disqualification, and the position calibration module is used for determining coincidence rate to update the position coordinates based on cargo state disqualification. The invention solves the problems of opaque transportation process and risk early warning hysteresis caused by single monitoring means and lack of predictive capability of the cold chain logistics.

Inventors

LIU PEIJUN
GAO SHOUCHENG
YOU LIJUAN

Assignees

北京快行线冷链物流有限公司

Dates

Publication Date: 20260512
Application Date: 20251211

Claims (10)

1. A system for detecting the position of goods for cold-chain logistics is characterized by comprising, The data acquisition module is used for acquiring the position data and the state data of the goods in real time; the position prediction module is used for determining the running track of the goods based on the position data of the goods, predicting the position coordinate of the next stage of the goods, and calculating the matching degree of the predicted position coordinate and the real-time position coordinate to determine whether the matching degree is qualified or not; The position early warning module is used for determining a position early warning value based on the unqualified matching degree; The strategy determining module is used for responding to the early warning value, determining the path deviation degree based on the running track and a preset standard transportation path to determine an early warning strategy, and obtaining the data reliability based on the signal source of the position data and the current refreshing frequency to determine whether the cargo transportation path is in compliance or not; The cargo state module is used for determining whether the cargo state is qualified or not according to the comparison result of the cargo collision times and the preset collision times according to the state data based on the cargo transportation path non-compliance; And the position calibration module is used for responding to unqualified goods states, starting a redundant positioning source to acquire a plurality of position coordinates of the next stage so as to calculate the coincidence rate of a plurality of position coordinate points of the redundant positioning source and the track according to the goods tracks formed by the plurality of position coordinates, comparing the coincidence rate with a preset coincidence rate to determine whether the coincidence rate meets the standard or not, and determining the position coordinate updating quantity and updating based on the unqualified coincidence rate.
2. The system of claim 1, wherein the position prediction module determines a predicted position coordinate of the cargo at a next stage as a sum of the predicted displacement vector and a newly acquired position coordinate vector, wherein, The predicted displacement vector is the product of a moving speed vector and an acquisition time interval, and the moving speed vector is the ratio of the displacement vector to the acquisition time interval.
3. The system for detecting the position of a good for a cold chain logistics according to claim 2, wherein the position prediction module determines that the degree of match is not acceptable based on the degree of match being less than a preset degree of match threshold, wherein, The matching degree is the linear distance between the predicted position coordinates and the real-time position coordinates.
4. The system of claim 1, wherein the policy determination module determines that the cargo transportation path is not compliant based on the data confidence level being greater than a preset data confidence threshold if the path deviation is greater than a preset path deviation.
5. The cold chain logistics cargo position detection system of claim 4 wherein said policy determination module determines said data confidence level to be a product of a predetermined reference confidence level and a frequency ratio factor, wherein, The preset reference credibility is determined based on the acquisition of satellite positioning signals; and the frequency ratio factor determines a frequency ratio based on the ratio of the current refresh frequency to the standard refresh frequency of the preset reference credibility, and determines the minimum value of the comparison between the frequency ratio and the preset frequency ratio.
6. The system of claim 4, wherein the cargo state module determines that the cargo state is not acceptable based on the cargo transportation path being non-compliant and based on the number of collisions being greater than a predetermined number of collisions.
7. The system of claim 6, wherein the position calibration module is configured to respond to a cargo state failure by taking as a cargo path a cargo movement path based on which of the cargo movement paths has a maximum data quality score, wherein, Starting all available redundant positioning sources, and collecting position coordinate data of a plurality of positioning sources in parallel at a standard refreshing frequency in a preset data collecting time window; And constructing a cargo movement track corresponding to the positioning sources based on the time sequence connection of the position coordinates acquired by the positioning sources in the continuous time sequence.
8. The system of claim 1, wherein the position calibration module determines that the coincidence rate is not up to standard based on the coincidence rate being less than the preset coincidence rate.
9. The system of claim 1, wherein the position calibration module is configured to update the position coordinates in response to the coincidence rate not reaching a standard, the updated amount being a coordinate difference between a latest position coordinate acquired by the reference source at an end of the data acquisition time window and a currently used position coordinate, And screening out the positioning source with the largest coincidence rate from a plurality of redundant positioning sources as the reference source.
10. The cold chain logistics cargo position detection system of claim 9 wherein the position calibration module updates the currently used position coordinates to the latest position coordinates of the reference source.

Description

Cargo position detection system for cold chain logistics Technical Field The invention relates to the technical field of logistics transportation, in particular to a cargo position detection system for cold chain logistics. Background With the rapid development of fresh electronic commerce and medical cold chain and the increasing demand of consumers for high-quality commodities, cold chain logistics has become a key link for guaranteeing food safety and drug efficacy. The position and the state of the goods in the cold chain logistics are directly related to the transportation efficiency and the transparency of the supply chain, and are the core basis for evaluating the quality of the goods and tracing the responsibility of the goods loss. Traditional cargo position monitoring means, such as manual recording or simple GPS tracking, are difficult to realize real-time, accurate and intelligent monitoring on cargo positions, transportation tracks and physical states, and cannot effectively early warn path deviation, abnormal retention or potential physical damage in the transportation process. The system comprises a cold chain information acquisition module, a data communication module, a processor module, a block chain infrastructure module and a block chain tracing module, wherein the cold chain information acquisition module is used for acquiring first information of a carriage for placing goods in a railway vehicle, the first information comprises temperature and humidity information and position information, the block chain infrastructure module is used for acquiring second information of the goods, the second information comprises production environment information, storage state information, production process information and transportation position information, the processor module is used for sending target information comprising the first information and the second information to the block chain tracing module, and the block chain tracing module is used for correspondingly storing hash values of the target information and goods identification of the goods into a block chain. It can be seen that the railway cold chain logistics transportation system based on the blockchain technology has the following problems: 1. The lack of a real-time prediction and dynamic verification mechanism for the cargo transportation track can not timely early warn transportation risks such as path deviation, abnormal stagnation or potential physical damage, so that risk response is delayed, and timeliness and safety of cold chain logistics are difficult to guarantee. 2. Depending on single positioning data source and static information record, multi-source redundant positioning and data credibility evaluation are not introduced, and monitoring blind areas or false alarms are easily generated when positioning signals are lost, drift or environmental interference, so that the reliability and the accuracy of the system are reduced. Disclosure of Invention Therefore, the invention provides a cargo position detection system for cold-chain logistics, which is used for solving the problems of opaque transportation process and risk early warning hysteresis caused by single monitoring means and lack of predictive capability in the prior art. In order to achieve the above object, the present invention provides a cargo position detection system for a cold chain logistics, comprising, The data acquisition module is used for acquiring the position data and the state data of the goods in real time; the position prediction module is used for determining the running track of the goods based on the position data of the goods, predicting the position coordinate of the next stage of the goods, and calculating the matching degree of the predicted position coordinate and the real-time position coordinate to determine whether the matching degree is qualified or not; The position early warning module is used for determining a position early warning value based on the unqualified matching degree; The strategy determining module is used for responding to the early warning value, determining the path deviation degree based on the running track and a preset standard transportation path to determine an early warning strategy, and obtaining the data reliability based on the signal source of the position data and the current refreshing frequency to determine whether the cargo transportation path is in compliance or not; The cargo state module is used for determining whether the cargo state is qualified or not according to the comparison result of the cargo collision times and the preset collision times according to the state data based on the cargo transportation path non-compliance; And the position calibration module is used for responding to unqualified goods states, starting a redundant positioning source to acquire a plurality of position coordinates of the next stage so as to calculate the coincidence rate of a plurality of position coordinate p