CN-122022648-A - Cold chain transportation operation risk protection system

CN122022648ACN 122022648 ACN122022648 ACN 122022648ACN-122022648-A

Abstract

The invention relates to the technical field of cold chain transportation management, and provides a cold chain transportation operation risk protection system, which comprises a cold chain transportation management server, a plurality of cold chain transportation terminals, an operation abnormality sampling module, a risk assessment module, an early warning module and an operation protection module, wherein the operation abnormality sampling module is used for carrying out multidimensional abnormal sampling on the operation states of transportation nodes, equipment nodes and data acquisition nodes in a cold chain transportation operation network so as to acquire operation abnormality data; the risk assessment module is used for comprehensively assessing the cold chain transportation operation risk based on the operation abnormal data and combining the historical operation data to generate a corresponding operation risk assessment result, the early warning module is used for triggering operation risk early warning signals of different grades according to the operation risk assessment result, and the operation protection module is used for automatically executing a corresponding operation protection strategy according to the risk grade corresponding to the operation risk early warning signal so as to reduce the influence of abnormal operation on a cold chain transportation system.

Inventors

HE JIAHUA
DONG HAIYUN
LI XINTIAN

Assignees

广东铂华冷链科技有限公司
佛山市尚航货运代理有限公司

Dates

Publication Date: 20260512
Application Date: 20260210

Claims (10)

1. The cold chain transportation operation risk protection system comprises a cold chain transportation management server and a plurality of cold chain transportation terminals, and is characterized by further comprising an operation abnormality sampling module, a risk assessment module, an early warning module and an operation protection module, wherein the operation abnormality sampling module, the risk assessment module, the early warning module and the operation protection module are respectively connected with the cold chain transportation management server; The operation abnormality sampling module is used for carrying out multidimensional abnormal sampling on the operation states of each transportation node, each equipment node and each data acquisition node in the cold chain transportation operation network so as to acquire operation abnormality data; the risk assessment module comprehensively assesses the cold chain transportation operation risk based on the operation abnormal data and combines the historical operation data to generate a corresponding operation risk assessment result; The early warning module triggers operation risk early warning signals of different grades according to the operation risk assessment result; And the operation protection module automatically executes a corresponding operation protection strategy according to the risk level corresponding to the operation risk early warning signal so as to reduce the influence of abnormal operation on the cold chain transportation system.
2. The cold chain transportation operation risk protection system according to claim 1, wherein the operation abnormality sampling module comprises a sampling unit and an evaluation unit, the sampling unit is used for collecting operation parameters, equipment state parameters and data transmission state parameters of transportation nodes, and the evaluation unit is used for analyzing and processing collected multi-source operation data to judge whether operation abnormality exists in the corresponding transportation nodes.
3. The cold chain transportation operation risk protection system according to claim 2, wherein the risk assessment module is configured to obtain an operation attribute Change sequence change= { Ci, i=1, 2,..once, N }, where Ci represents the number of changes of the corresponding operation attribute in the ith sample, and calculate an operation attribute Change index variity based on the operation attribute Change sequence; wherein the operational attribute variation index Variety characterizes the degree of stability of the operational state of the transport node.
4. The cold chain transportation operation risk protection system of claim 3, wherein the evaluation unit is further configured to obtain operation load characteristic samples of the transportation node in a plurality of sampling periods, and calculate an operation load influence index affect based on the operation load characteristic samples, for characterizing a variation intensity of the operation load of the transportation node.
5. The cold chain transportation operation risk protection system of claim 4, wherein the risk assessment module calculates a composite risk score based on the operation attribute variation index Variety and the operation load impact index affect, and the pre-warning module triggers a corresponding level of operation risk pre-warning according to the composite risk score.
6. The cold chain transportation operation risk protection system according to claim 5, wherein the early warning module comprises an early warning unit and a prompt unit, the early warning unit is used for generating operation risk early warning signals of different grades according to the abnormal evaluation result output by the operation abnormal sampling module, and the prompt unit is used for outputting prompt information to cold chain transportation management personnel according to the operation risk early warning signals.
7. The cold chain transportation operation risk protection system according to claim 6, wherein the operation protection module comprises a protection strategy unit and a strategy adjustment unit, the strategy adjustment unit is used for generating a corresponding protection strategy instruction according to the risk level of the operation risk early warning signal, and the protection strategy unit is used for executing operation protection operation of a corresponding level on a cold chain transportation operation network according to the protection strategy instruction.
8. The cold chain transportation operation risk protection system according to claim 7, wherein the policy adjustment unit is configured to count abnormal operation times or abnormal data uploading frequencies of the transportation node within a preset time window, and automatically trigger the operation protection policy of the corresponding level when the counted result exceeds a preset safety threshold.
9. The cold chain transportation operation risk protection system of claim 8, wherein the operation protection module further comprises an abnormal node control unit, and the abnormal node control unit is used for limiting operation authority of a transportation node or a device node triggering operation risk early warning so as to prevent the transportation node or the device node from continuously influencing a cold chain transportation operation network.
10. The cold chain transportation operation risk protection system according to claim 9, wherein the abnormal node control unit obtains an operation risk score of a corresponding transportation node before executing operation authority limit, and selectively executes node isolation operation, degradation operation or bypass monitoring process according to the magnitude of the operation risk score.

Description

Cold chain transportation operation risk protection system Technical Field The invention relates to the technical field of cold chain transportation management, in particular to a cold chain transportation operation risk protection system. Background In the current cold chain logistics industry, in order to ensure the quality safety of temperature sensitive goods such as perishable foods and medical products in the whole transportation process, transportation enterprises generally adopt technologies such as temperature monitoring equipment, a GPS (global positioning system) positioning and tracking system and the like to manage and control the transportation state. However, due to factors such as long distance movement, multi-node transmission, complex environmental changes and the like involved in the cold chain transportation process, the cold chain system still faces various risks such as temperature mutation, equipment failure, abnormal node data, interruption of a supply chain and the like in the operation process, and the risks may lead to bad consequences such as cargo substance loss, transportation efficiency reduction, logistics resource waste and the like. In the prior art, there are some information management and status monitoring schemes for cold chain transportation processes. For example, patent document CN110633936a discloses a real-time tracking method and apparatus for cold chain logistics, which is to collect logistics information and storage environment information of a cold chain product in real time, analyze the current state of the cold chain product and predict the quality state reaching a destination, so as to treat the product in time when abnormality occurs, and reduce the putrefaction loss of the cold chain product. The scheme can monitor the state change of single goods to a certain extent, but mainly focuses on the state monitoring of single transportation process, and lacks comprehensive assessment and response mechanisms for the overall risk of a cold chain operation network. Although the prior art realizes monitoring and transmission of transportation information to a certain extent, the defects of 1. The prior cold chain transportation system generally only depends on single factors such as temperature, humidity and the like to carry out risk monitoring, and can not comprehensively and real-timely evaluate various abnormal behaviors possibly occurring in the transportation process. 2. The existing scheme is used for judging whether an abnormality occurs or not through a fixed threshold value, but the potential transportation risk cannot be dynamically estimated based on a big data technology by combining historical operation data and real-time data. 3. The prior art relies on manual setting of threshold value to trigger alarm, and can not automatically start differentiated protection strategies when abnormality occurs, so that possible risks in the transportation process of the refrigeration chain can not be timely prevented and controlled. 4. The existing cold chain management system does not form a full closed loop from anomaly identification to guard execution, so that the guard measures cannot be automatically adjusted to different types of risks during transportation. The invention is made for solving the problems of rough operation abnormality recognition, risk assessment lag, single protection strategy and the like commonly existing in the field. Disclosure of Invention The invention aims to provide a cold chain transportation operation risk protection system aiming at the defects existing at present. In order to overcome the defects of the prior art, the cold chain transportation operation risk protection system adopts the following technical scheme that the system comprises a cold chain transportation management server, a plurality of cold chain transportation terminals, an operation abnormality sampling module, a risk assessment module, an early warning module and an operation protection module, wherein the operation abnormality sampling module, the risk assessment module, the early warning module and the operation protection module are respectively connected with the cold chain transportation management server; The operation abnormality sampling module is used for carrying out multidimensional abnormal sampling on the operation states of each transportation node, each equipment node and each data acquisition node in the cold chain transportation operation network so as to acquire operation abnormality data; the risk assessment module comprehensively assesses the cold chain transportation operation risk based on the operation abnormal data and combines the historical operation data to generate a corresponding operation risk assessment result; The early warning module triggers operation risk early warning signals of different grades according to the operation risk assessment result; And the operation protection module automatically executes a corresponding operatio