A Cold Chain Logistics Data Management Method and System

Abstract

The present invention belongs to the technical field of data management. A cold chain logistics data management method and system are provided. The method includes: determining the nearest high-temperature environment area and the first route distance on a preset driving route according to the first positioning information of the cold chain logistics vehicle, determining the reporting frequency of the real-time operation state according to the first route distance, and controlling the cold chain logistics vehicle to report several groups of second real-time operation states according to the reporting frequency; calculating the temperature and humidity control mode of the cold chain logistics vehicle according to the first temperature and humidity data and several groups of second temperature and humidity data, and determining the temperature and humidity enhancement regulation scheme based on the temperature and humidity control mode; determining the second route distance from the nearest high-temperature environment area according to the second positioning information, and when the second route distance meets the temperature and humidity regulation conditions, sending the temperature and humidity enhancement regulation scheme to the cold chain logistics vehicle for execution. The present invention can effectively reduce the transportation cost of cold chain logistics transport vehicles.

Description

Technical Field

[0001] The present invention relates to the technical field of data management, and in particular, to a cold chain logistics data management method and system. Background Art

[0002] Cold chain logistics is a complex system that involves keeping products in a low-temperature environment throughout the circulation process. It includes multiple links such as transportation, distribution, processing, packaging, storage, distribution, and retail. Temperature sensors, humidity sensors, satellite locators, etc. are arranged on cold chain logistics vehicles. These sensors transmit the temperature, humidity, and positioning information of the cold chain logistics vehicle sensed in real time to the cold chain logistics management server through the Internet of Things, thereby realizing the monitoring of the real-time operating status of the cold chain logistics vehicle.

[0003] Obviously, the existing technology mainly focuses on the monitoring of cold chain logistics vehicles at present, and rarely pays attention to how to reduce the cold chain logistics cost through the reasonable management of cold chain logistics data. The present invention aims to solve this technical problem. Summary of the Invention

[0004] To this end, the present invention provides a cold chain logistics data management method, system, electronic device, computer storage medium, and computer program product to solve the above technical problems.

[0005] The present invention discloses a cold chain logistics data management method for a cold chain logistics management server. The method includes the following steps: receiving a first real-time operating status sent by a cold chain logistics vehicle through the Internet of Things, where the first real-time operating status includes first positioning information and first temperature and humidity data; determining the nearest high-temperature environment area and the first route distance on a preset driving route according to the first positioning information, determining the reporting frequency of the real-time operating status according to the first route distance, and controlling the cold chain logistics vehicle to report several groups of second real-time operating statuses according to the reporting frequency, where the second real-time operating statuses include second positioning information and second temperature and humidity data; calculating the temperature and humidity control mode of the cold chain logistics vehicle according to the first temperature and humidity data and several groups of the second temperature and humidity data, and determining a temperature and humidity enhancement regulation plan based on the temperature and humidity control mode; determining the second route distance from the nearest high-temperature environment area according to the second positioning information, and when the second route distance meets the temperature and humidity regulation conditions, sending the temperature and humidity enhancement regulation plan to the cold chain logistics vehicle for execution.

[0006] In some embodiments, the preset driving route is set in the following manner: the preset driving route is planned according to the starting point and the ending point of the goods to be transported; the temperature and humidity enhancement execution records of other cold chain logistics vehicles located on the preset driving route are determined. If the number of temperature and humidity enhancement execution records in a certain area is higher than the number threshold, then this area is determined as the high-temperature environment area, and the high-temperature environment area is marked on the preset driving route.

[0007] In some embodiments, the reporting frequency of the real-time operating state determined according to the first route distance is used to control the cold chain logistics vehicle to report several groups of the second real-time operating states according to the reporting frequency, including: determining the reporting frequency of the real-time operating state according to the first route distance and the corresponding calculation function, and the calculation function is as follows: ; in the formula, is the reporting frequency, is the reference reporting frequency, is the first route distance, is the temperature difference between the current driving area of the cold chain logistics vehicle and the nearest high-temperature environment area, is the average value of the temperatures of each area on the preset driving route; controlling the cold chain logistics vehicle to report several groups of the second real-time operating states according to the reporting frequency.

[0008] In some embodiments, calculating the temperature and humidity control mode of the cold chain logistics vehicle according to the first temperature and humidity data and several groups of second temperature and humidity data includes: disassembling the first temperature and humidity data and several groups of the second temperature and humidity data to obtain a temperature data set and a humidity data set. Among them, the temperature data set includes several temperature data sorted in the order of reporting time, and the humidity data set includes several humidity data sorted in the order of reporting time; fitting a temperature regulation curve according to the temperature data set, fitting a humidity regulation curve according to the humidity data set, and calculating the temperature variance corresponding to the temperature regulation curve and the humidity variance corresponding to the humidity regulation curve; matching the temperature variance and the humidity variance to obtain the temperature and humidity control mode.

[0009] In some embodiments, determining the temperature and humidity enhancement regulation scheme based on the temperature and humidity control mode includes: inputting the temperature variance, the humidity variance corresponding to the temperature and humidity control mode, the temperature of the current driving area of the cold chain logistics vehicle, and the temperature of the nearest high-temperature environment area into a regulation prediction model based on Transformer, and the regulation prediction model outputs the power increase value of the temperature and humidity regulation equipment, that is, the temperature and humidity enhancement regulation scheme is obtained.

[0010] In some embodiments, when the second route distance meets the temperature and humidity control conditions, sending the enhanced temperature and humidity control scheme to the cold chain logistics vehicle for execution includes: when the second route distance is lower than the distance threshold, determining that the temperature and humidity control conditions are met, and sending the enhanced temperature and humidity control scheme to the cold chain logistics vehicle for execution.

[0011] The present invention also discloses a cold chain logistics data management system for a cold chain logistics management server. The system includes a processing module and a storage module. A computer program is stored in the storage module. The processing module executes the computer program to implement the following method steps: receiving the first real-time operation status sent by the cold chain logistics vehicle through the Internet of Things, where the first real-time operation status includes first positioning information and first temperature and humidity data; determining the nearest high-temperature environment area and the first route distance on the preset driving route according to the first positioning information, determining the reporting frequency of the real-time operation status according to the first route distance, and controlling the cold chain logistics vehicle to report several groups of second real-time operation statuses according to the reporting frequency, where the second real-time operation statuses include second positioning information and second temperature and humidity data; calculating the temperature and humidity control mode of the cold chain logistics vehicle according to the first temperature and humidity data and several groups of the second temperature and humidity data, and determining an enhanced temperature and humidity control scheme based on the temperature and humidity control mode; determining the second route distance from the nearest high-temperature environment area according to the second positioning information, and when the second route distance meets the temperature and humidity control conditions, sending the enhanced temperature and humidity control scheme to the cold chain logistics vehicle for execution.

[0012] The present invention also discloses an electronic device, including: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, where the processor executes the computer program to implement the method as described in any one of the previous ones.

[0013] The present invention also discloses a computer storage medium, where the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement the method as described in any one of the previous ones.

[0014] The present invention also discloses a computer program product, where the computer program product contains computer code, and when the computer code is executed by the processor of the electronic device, it implements the method as described in any one of the previous ones.

[0015] Compared with the cold chain logistics management server in the background art which is only used to monitor the real-time operation status of cold chain logistics vehicles, the cold chain logistics management server in the present invention can also deeply analyze the received real-time operation status of cold chain logistics vehicles to obtain the temperature and humidity control mode of cold chain logistics vehicles, and generate a temperature and humidity enhanced regulation plan accordingly, which can effectively respond to the environmental temperature changes on the driving route, and can also effectively limit the increase in temperature and humidity regulation costs, so as to achieve the effect of reducing cold chain logistics costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show some embodiments of the present invention, and therefore should not be regarded as limiting the scope. For those of ordinary skill in the art, other related drawings can be obtained based on these drawings without creative efforts.

[0017] Figure 1 is a schematic flowchart of a cold chain logistics data management method disclosed in an embodiment of the present invention.

[0018] Figure 2 is a schematic diagram of the relative relationship between a cold chain logistics vehicle and a high-temperature environment area disclosed in an embodiment of the present invention.

[0019] Figure 3 is a schematic structural diagram of a cold chain logistics data management system disclosed in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0020] The following specific embodiments illustrate the implementation manners of the present application. Those skilled in the art can easily understand other advantages and effects of the present application from the content disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope protected by the present application.

[0021] In addition, the technical features involved in different implementation manners of the present application described below can be combined with each other as long as they do not conflict with each other.

[0022] Such as Figure 1As shown in the figure, an embodiment of the present invention discloses a cold chain logistics data management method for a cold chain logistics management server. The method includes the following steps: receiving the first real-time operation status sent by a cold chain logistics vehicle through the Internet of Things network, where the first real-time operation status includes first positioning information and first temperature and humidity data; determining the nearest high-temperature environment area on the preset driving route and the first route distance based on the first positioning information, determining the reporting frequency of the real-time operation status based on the first route distance, and controlling the cold chain logistics vehicle to report several groups of second real-time operation status according to the reporting frequency, where the second real-time operation status includes second positioning information and second temperature and humidity data; calculating the temperature and humidity control mode of the cold chain logistics vehicle based on the first temperature and humidity data and several groups of the second temperature and humidity data, and determining a temperature and humidity enhancement regulation plan based on the temperature and humidity control mode; determining the second route distance from the nearest high-temperature environment area based on the second positioning information, and when the second route distance meets the temperature and humidity regulation conditions, sending the temperature and humidity enhancement regulation plan to the cold chain logistics vehicle for execution.

[0023] In the solution of the present invention, the cold chain logistics vehicle carries goods that need to be stored in cold chain on the preset driving route and feeds back the first real-time operation status to the cold chain logistics management server through the Internet of Things network. The cold chain logistics management server can determine the nearest high-temperature environment area on the preset driving route and the first route distance between the cold chain logistics vehicle and the high-temperature environment area (i.e., the actual driving distance, rather than the straight-line distance) based on the fed-back first positioning information. The high-temperature environment area refers to an area where the temperature is higher than the preset temperature (for example, 5°C) than the current driving area of the cold chain logistics vehicle. For example, the cold chain logistics vehicle is currently in a tunnel with a temperature of 20°C, and the high-temperature environment area refers to the area outside the tunnel (specifically, the tunnel exit) with a temperature of 26°C. The reporting frequency of the real-time operation status of the cold chain logistics vehicle is regulated according to the first route distance, so as to further obtain several groups of second real-time operation status reported by the cold chain logistics vehicle. Both the first and second real-time operation status include positioning information and temperature and humidity data. The cold chain logistics management server then calculates the temperature and humidity control mode of the cold chain logistics vehicle based on the first temperature and humidity data and several groups of second temperature and humidity data. The temperature and humidity control mode is used to characterize the control effect of the cold chain logistics vehicle on the temperature and humidity in the refrigerated cargo compartment, and then determines a temperature and humidity enhancement regulation plan based on the temperature and humidity control mode. Finally, the cold chain logistics management server also updates the route distance to the nearest high-temperature environment area based on the second positioning information (the latest). When the second route distance updated in real time meets the temperature and humidity regulation conditions, the temperature and humidity enhancement regulation plan can be sent to the cold chain logistics vehicle for execution.

[0024] Compared with the cold chain logistics management server in the background art which is only used to monitor the real-time operation status of cold chain logistics vehicles, the cold chain logistics management server in the present invention can also deeply analyze the real-time operation status of the received cold chain logistics vehicles to obtain the temperature and humidity control mode of the cold chain logistics vehicles, and generate a temperature and humidity enhanced regulation plan accordingly, which can effectively respond to the change of ambient temperature on the driving route, and can also effectively limit the increase of temperature and humidity regulation cost, so as to achieve the effect of reducing the cold chain logistics cost.

[0025] In some embodiments, the preset driving route is set in the following manner: plan the preset driving route according to the starting point and the ending point of the goods to be transported; determine the temperature and humidity enhancement execution records of other cold chain logistics vehicles located on the preset driving route. If the number of temperature and humidity enhancement execution records in a certain area is higher than the number threshold, then determine this area as the high-temperature environment area, and mark the high-temperature environment area on the preset driving route.

[0026] In this embodiment, the cold chain logistics management server can use the existing route planning method to plan the preset driving route from the starting point to the ending point of the corresponding cold chain logistics vehicle for the goods to be transported.

[0027] At the same time, multiple high-temperature environment areas are also marked on the preset driving route. The high-temperature environment area in the present invention is not an absolute high-temperature environment, but a relative high temperature, that is, the cold chain logistics vehicle switches from a "low-temperature environment" to a "high-temperature environment". For example, as Figure 2 shown, when the cold chain logistics vehicle drives out of the tunnel from inside the tunnel, as long as the temperature difference between the "low-temperature environment" and the "high-temperature environment" reaches the above preset temperature, the adjacent area to be driven next is determined as the high-temperature environment area. In this regard, the cold chain logistics management server retrieves the temperature and humidity enhancement execution records of all cold chain logistics vehicles located on the preset driving route (only partial route overlap is required). When the number of temperature and humidity enhancement execution records in a certain area is higher than the number threshold, it means that this area is the above-mentioned low-high switching area, and other cold chain logistics vehicles have executed the enhanced strategy of temperature and humidity regulation to cope with this "high temperature". Correspondingly, this area is determined as the high-temperature environment area.

[0028] Among them, the above temperature and humidity enhancement execution record is defined from the perspective of the cold chain logistics vehicle. That is, after the cold chain logistics vehicle implements the temperature and humidity enhancement plan, it will feedback to the cold chain logistics management server, thus generating a temperature and humidity enhancement execution record. And this temperature and humidity enhancement plan can be the above temperature and humidity enhanced regulation plan formulated by the cold chain logistics management server, or the temperature and humidity enhancement regulation plan formulated by the cold chain logistics vehicle itself. The present invention does not limit this.

[0029] In some embodiments, determining the reporting frequency of the real-time operating state based on the first route distance and controlling the cold chain logistics vehicle to report several groups of second real-time operating states according to the reporting frequency includes: determining the reporting frequency of the real-time operating state according to the first route distance and the corresponding calculation function, and the calculation function is as follows: ; where is the reporting frequency, is the reference reporting frequency, is the first route distance, is the temperature difference between the current driving area of the cold chain logistics vehicle and the nearest high-temperature environment area, is the average value of the temperatures of each area on the preset driving route; controlling the cold chain logistics vehicle to report several groups of the second real-time operating states according to the reporting frequency.

[0030] In this embodiment, the present invention comprehensively determines the optimal reporting frequency of the real-time operating state to be adopted based on the first route distance between the cold chain logistics vehicle and the nearest high-temperature environment area and the magnitude of the temperature difference between the current driving area and the high-temperature environment area.

[0031] Based on the above calculation function, when the first route distance is smaller and the temperature difference is larger, the reporting frequency is higher; while when the first route distance is larger and the temperature difference is smaller, the reporting frequency is lower. Among them, the temperatures of each area on the preset driving route can be obtained in various ways. For example, through the information reported by the vehicle in the corresponding area, and the reporting vehicle can be any vehicle with the ability to report temperature, and then calculate the average value of the temperatures of each area, that is, obtain .

[0032] In some embodiments, calculating the temperature and humidity control mode of the cold chain logistics vehicle according to the first temperature and humidity data and several groups of second temperature and humidity data includes: disassembling the first temperature and humidity data and several groups of the second temperature and humidity data to obtain a temperature data set and a humidity data set. Among them, the temperature data set includes several temperature data sorted in the order of reporting time, and the humidity data set includes several humidity data sorted in the order of reporting time; fitting a temperature regulation curve according to the temperature data set, fitting a humidity regulation curve according to the humidity data set, and calculating the temperature variance corresponding to the temperature regulation curve and the humidity variance corresponding to the humidity regulation curve; matching the temperature variance and the humidity variance to obtain the temperature and humidity control mode.

[0033] In this embodiment, as previously defined, the temperature and humidity control mode of the present invention is used to characterize the control effect of the cold chain logistics vehicle on the temperature and humidity in the refrigerated compartment, specifically referring to the temperature fluctuation and humidity fluctuation conditions. For this, the present invention first disassembles the first temperature and humidity data reported by the cold chain logistics vehicle and several groups of second temperature and humidity data respectively to obtain a temperature data set and a humidity data set. The temperature data in the temperature data set and the humidity data in the humidity data set are sorted in the order of the reporting time. Then, each temperature data in the temperature data set and each humidity data in the humidity data set are mapped into a coordinate system (the horizontal axis is time, and the vertical axis is temperature or humidity), and then curve fitting is performed to respectively obtain a temperature regulation curve and a humidity regulation curve, and the temperature variance and humidity variance corresponding to the two curves can be further calculated. Finally, by synthesizing the temperature variance and humidity variance, the temperature and humidity control mode of the cold chain logistics vehicle can be determined.

[0034] Generally speaking, the larger the temperature variance and humidity variance, the worse the temperature and humidity control effect of the cold chain logistics vehicle, and vice versa. Corresponding numerical ranges can also be set in advance for the temperature variance and humidity variance respectively. Different temperature variance ranges and humidity variance ranges form a data group, and each data group corresponds to a temperature and humidity control mode label, thus forming a comparison table. After determining the temperature variance and humidity variance of the cold chain logistics vehicle through the foregoing method, the corresponding temperature and humidity control mode label can be determined through a matching operation with the comparison table.

[0035] It should be noted that the reason for the worse temperature and humidity control effect may be due to the poor sealing of the cold chain logistics vehicle or the poor performance of the temperature and humidity control equipment of the cold chain logistics vehicle.

[0036] In some embodiments, the temperature and humidity enhanced regulation scheme determined based on the temperature and humidity control mode includes: inputting the temperature variance, the humidity variance corresponding to the temperature and humidity control mode, the temperature of the current driving area of the cold chain logistics vehicle, and the temperature of the nearest high-temperature environment area into a regulation prediction model based on Transformer, and the regulation prediction model outputs the power increase value of the temperature and humidity regulation equipment, that is, the temperature and humidity enhanced regulation scheme is obtained.

[0037] In this embodiment, the present invention pre-constructs a regulation prediction model based on Transformer. The regulation prediction model can conduct in-depth analysis based on the temperature variance and humidity variance representing the actual temperature and humidity control effect of the cold chain logistics vehicle, as well as the temperature of the current driving area and the target driving area, i.e., the high-temperature environment area, so as to obtain the power increment value of the temperature and humidity regulation device. Based on the obtained power increment value, the temperature and humidity regulation device is controlled to enhance the control intensity of the temperature and humidity in the refrigerated compartment of the cold chain logistics vehicle, thereby ensuring that the temperature and humidity in the refrigerated compartment can also be kept relatively stable when the cold chain logistics vehicle switches to the high-temperature environment area. Moreover, the power increment value is the minimum value or critical value predicted by the regulation prediction model, which can reduce the power increase range of the temperature and humidity regulation device, thereby reducing the energy consumption and transportation cost of the cold chain logistics vehicle.

[0038] In some embodiments, when the second route distance meets the temperature and humidity regulation conditions, sending the enhanced temperature and humidity regulation scheme to the cold chain logistics vehicle for execution includes: when the second route distance is lower than the distance threshold, determining that the temperature and humidity regulation conditions are met, and sending the enhanced temperature and humidity regulation scheme to the cold chain logistics vehicle for execution.

[0039] In this embodiment, when the second route distance of the cold chain logistics vehicle from the nearest high-temperature area environment is lower than the distance threshold, the enhanced temperature and humidity regulation scheme can be sent to the cold chain logistics vehicle for execution. Among them, the distance threshold can be determined according to the temperature difference between the current driving area of the cold chain logistics vehicle and the nearest high-temperature environment area described above. to determine. Specifically, when the temperature difference is larger, the time required for the cold chain logistics vehicle to perform enhanced regulation of temperature and humidity control is longer, and at this time, the set distance threshold is larger; conversely, when the temperature difference is smaller, the time required for the cold chain logistics vehicle to perform enhanced regulation of temperature and humidity control is shorter, and at this time, the set distance threshold is smaller.

[0040] Such as Figure 3As shown, an embodiment of the present invention also discloses a cold chain logistics data management system for a cold chain logistics management server. The system includes a processing module and a storage module. A computer program is stored in the storage module, and the processing module executes the computer program to implement the following method steps: receiving the first real-time operation status sent by a cold chain logistics vehicle through the Internet of Things network, where the first real-time operation status includes first positioning information and first temperature and humidity data; determining the nearest high-temperature environment area and the first route distance on a preset driving route based on the first positioning information, determining the reporting frequency of the real-time operation status based on the first route distance, and controlling the cold chain logistics vehicle to report several groups of second real-time operation status according to the reporting frequency, where the second real-time operation status includes second positioning information and second temperature and humidity data; calculating the temperature and humidity control mode of the cold chain logistics vehicle based on the first temperature and humidity data and several groups of the second temperature and humidity data, and determining a temperature and humidity enhancement regulation plan based on the temperature and humidity control mode; determining the second route distance from the nearest high-temperature environment area based on the second positioning information, and when the second route distance meets the temperature and humidity regulation conditions, sending the temperature and humidity enhancement regulation plan to the cold chain logistics vehicle for execution.

[0041] An embodiment of the present invention also discloses an electronic device, including: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, where the processor executes the computer program to implement the method as described in the foregoing embodiment.

[0042] An embodiment of the present invention also discloses a computer storage medium storing a computer program, where the computer program is executed by a processor to implement the method as described in the foregoing embodiment.

[0043] An embodiment of the present invention also discloses a computer program product containing computer code, where when the computer code is executed by a processor of an electronic device, it implements the method as described in the foregoing embodiment.

[0044] The above-mentioned computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or equipment, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium may be a machine-readable signal medium. More specific examples of the machine-readable storage medium would include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0045] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device for displaying information to the user (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor); and a keyboard and a pointing device (e.g., a mouse or a trackball), by which the user can provide input to the electronic device. Other kinds of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0046] The systems and techniques described herein can be implemented in a computing system including backend components (e.g., as a data server), or a computing system including middleware components (e.g., an application server), or a computing system including frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system including any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected to each other by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local area network (LAN), wide area network (WAN), blockchain network, and the Internet.

[0047] A computing system can include a client and a server. The client and the server are generally remote from each other and typically interact through a communication network. The client-server relationship is created by computer programs running on respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, solving the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0048] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps recited in the present invention can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitation is imposed herein.

[0049] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub - combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A cold chain logistics data management method, for a cold chain logistics management server, characterized in that: The method includes the following steps: receiving the first real-time operation status sent by the cold chain logistics vehicle through the Internet of Things network, where the first real-time operation status includes the first positioning information and the first temperature and humidity data; determining the nearest high-temperature environment area and the first route distance on the preset driving route according to the first positioning information, determining the reporting frequency of the real-time operation status according to the first route distance, and controlling the cold chain logistics vehicle to report several groups of second real-time operation statuses according to the reporting frequency, where the second real-time operation status includes the second positioning information and the second temperature and humidity data; calculating the temperature and humidity control mode of the cold chain logistics vehicle according to the first temperature and humidity data and several groups of the second temperature and humidity data, and determining a temperature and humidity enhancement regulation plan based on the temperature and humidity control mode; Determining the second route distance from the nearest high-temperature environment area according to the second positioning information, and when the second route distance meets the temperature and humidity regulation conditions, sending the temperature and humidity enhancement regulation plan to the cold chain logistics vehicle for execution; where the temperature and humidity control mode is used to characterize the control effect of the cold chain logistics vehicle on the temperature and humidity in the refrigerated compartment, specifically referring to the temperature fluctuation situation and the humidity fluctuation situation; The preset driving route is set in the following way: planning the preset driving route according to the starting point and the ending point of the goods to be transported; determining the temperature and humidity enhancement execution records of other cold chain logistics vehicles on the preset driving route, and if the number of temperature and humidity enhancement execution records in a certain area is higher than the number threshold, determining that area as the high-temperature environment area and marking the high-temperature environment area on the preset driving route; where the high-temperature environment area refers to the next adjacent area to be traveled with a temperature difference from the current driving area reaching the preset temperature.

2. The cold chain logistics data management method according to claim 1, wherein: Determine the reporting frequency of the real-time operating status based on the first route distance, and control the cold chain logistics vehicle to report several groups of the second real-time operating status according to the reporting frequency, including: determining the reporting frequency of the real-time operating status according to the first route distance and the corresponding calculation function, and the calculation function is as follows: ; In the formula, is the reporting frequency, is the reference reporting frequency, is the first route distance, is the temperature difference between the current driving area of the cold chain logistics vehicle and the nearest high-temperature environment area, is the average value of the temperatures of each area on the preset driving route; control the cold chain logistics vehicle to report several groups of the second real-time operating status according to the reporting frequency.

3. A cold chain logistics data management method according to claim 2, characterized in that: Calculating the temperature and humidity control mode of the cold chain logistics vehicle according to the first temperature and humidity data and several groups of the second temperature and humidity data includes: disassembling the first temperature and humidity data and several groups of the second temperature and humidity data to obtain a temperature data set and a humidity data set, where the temperature data set includes several temperature data sorted in the order of reporting time, and the humidity data set includes several humidity data sorted in the order of reporting time; fitting a temperature regulation curve according to the temperature data set, fitting a humidity regulation curve according to the humidity data set, and calculating the temperature variance corresponding to the temperature regulation curve and the humidity variance corresponding to the humidity regulation curve; matching the temperature variance and the humidity variance to obtain the temperature and humidity control mode.

4. A cold chain logistics data management method according to claim 3, characterized in that: Determining a temperature and humidity enhancement regulation plan based on the temperature and humidity control mode includes: inputting the temperature variance, the humidity variance corresponding to the temperature and humidity control mode, the temperature of the current driving area of the cold chain logistics vehicle, and the temperature of the nearest high-temperature environment area into a regulation prediction model based on Transformer, and the regulation prediction model outputs the power increase value of the temperature and humidity regulation equipment, that is, obtaining the temperature and humidity enhancement regulation plan.

5. A cold chain logistics data management method according to claim 1, characterized in that: When the second route distance meets the temperature and humidity regulation conditions, send the temperature and humidity enhanced regulation plan to the cold chain logistics vehicle for execution, including: when the second route distance is lower than the distance threshold, determine that the temperature and humidity regulation conditions are met, and send the temperature and humidity enhanced regulation plan to the cold chain logistics vehicle for execution.

6. A cold chain logistics data management system for a cold chain logistics management server, characterized in that: The system includes a processing module and a storage module. A computer program is stored in the storage module, and the processing module executes the computer program to implement the following method steps: Receive the first real-time operation status sent by the cold chain logistics vehicle through the Internet of Things. The first real-time operation status includes the first positioning information and the first temperature and humidity data; Determine the nearest high-temperature environment area and the first route distance on the preset driving route according to the first positioning information, determine the reporting frequency of the real-time operation status according to the first route distance, and control the cold chain logistics vehicle to report several groups of second real-time operation status according to the reporting frequency. The second real-time operation status includes the second positioning information and the second temperature and humidity data; Calculate the temperature and humidity control mode of the cold chain logistics vehicle according to the first temperature and humidity data and several groups of the second temperature and humidity data, and determine the temperature and humidity enhanced regulation plan based on the temperature and humidity control mode; Determine the second route distance from the nearest high-temperature environment area according to the second positioning information. When the second route distance meets the temperature and humidity regulation conditions, send the temperature and humidity enhanced regulation plan to the cold chain logistics vehicle for execution; wherein, the temperature and humidity control mode is used to characterize the control effect of the cold chain logistics vehicle on the temperature and humidity in the refrigerated cargo compartment, specifically referring to the temperature fluctuation situation and the humidity fluctuation situation; The preset driving route is set in the following way: Plan the preset driving route according to the starting point and the ending point of the goods to be transported; Determine the temperature and humidity enhanced execution records of other cold chain logistics vehicles on the preset driving route. If the number of temperature and humidity enhanced execution records in a certain area is higher than the number threshold, determine that area as the high-temperature environment area and mark the high-temperature environment area on the preset driving route; wherein, the high-temperature environment area refers to the adjacent area to be traveled next whose temperature difference from the current driving area reaches the preset temperature.

7. An electronic device, comprising: At least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, characterized in that: the processor executes the computer program to implement the method according to any one of claims 1-5.

8. A computer storage medium storing a computer program, characterized in that: The computer program is executed by the processor to implement the method according to any one of claims 1-5.

9. A computer program product, characterized in that: The computer program product contains computer code, and when the computer code is executed by the processor of the electronic device, the method according to any one of claims 1-5 is implemented.

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