Cold-chain logistics data management method and system

Abstract

The invention belongs to the technical field of data management. The invention provides a cold-chain logistics data management method and system. The method comprises the following steps: determining a nearest high-temperature environment area on a preset driving route and a first route distance according to first positioning information of a cold-chain logistics vehicle, determining a reporting frequency of a real-time running state according to the first route distance, and controlling the cold-chain logistics vehicle to report a plurality of groups of second real-time running states according to the reporting frequency; calculating a temperature and humidity control mode of the cold-chain logistics vehicle according to the first temperature and humidity data and the plurality of groups of second temperature and humidity data, and determining a temperature and humidity enhancement regulation and control scheme based on the temperature and humidity control mode; and determining a second route distance with the nearest high-temperature environment area according to the second positioning information, and when the second route distance meets a temperature and humidity regulation condition, sending a temperature and humidity enhancement regulation scheme to the cold-chain logistics vehicle for execution. According to the invention, the transportation cost of the cold-chain logistics transportation vehicle can be effectively reduced.

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, delivery, processing, packaging, storage, distribution and retail. The cold chain logistics vehicles are equipped with temperature sensors, humidity sensors, satellite locators, etc. These sensors transmit the real-time temperature, humidity and positioning information of the cold chain logistics vehicles through the Internet of Things network to the cold chain logistics management server, thereby realizing the real-time operation status monitoring of the cold chain logistics vehicles.

[0003] Obviously, the existing technology currently focuses on monitoring cold chain logistics vehicles, but pays little attention to how to reduce cold chain logistics costs through reasonable management of cold chain logistics data. The present invention aims to solve this technical problem. Summary of the invention

[0004] In this regard, 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-mentioned technical problems.

[0005] The present invention discloses a cold chain logistics data management method, which is used 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 an Internet of Things network, wherein 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 status according to the reporting frequency, wherein the second real-time operating status includes 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 control scheme based on the temperature and humidity control mode; determining the second route distance to 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 temperature and humidity enhancement control scheme 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 end 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 quantity threshold, the area is determined as the high temperature environment area, and the high temperature environment area is marked in the preset driving route.

[0007] In some embodiments, the reporting frequency of the real-time operating status is determined according to the first route distance, and the cold chain logistics vehicle is controlled to report several groups of 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 solution function, and the solution function is as follows: ; In the formula, is the reporting frequency, is the benchmark 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. It is the average value of the temperature of each area on the preset driving route; controlling the cold chain logistics vehicle to report several groups of the second real-time operating status according to the reporting frequency.

[0008] In some embodiments, the temperature and humidity control mode of the cold chain logistics vehicle is calculated based on the first temperature and humidity data and several groups of second temperature and humidity data, including: 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, wherein the temperature data set includes several temperature data sorted in order of reporting time, and the humidity data set includes several humidity data sorted in order of reporting time; fitting a temperature control curve according to the temperature data set, fitting a humidity control curve according to the humidity data set, and calculating the temperature variance corresponding to the temperature control curve and the humidity variance corresponding to the humidity control curve; matching the temperature variance with the humidity variance to obtain the temperature and humidity control mode.

[0009] In some embodiments, the temperature and humidity enhanced control scheme is determined based on the temperature and humidity control mode, including: inputting the temperature variance corresponding to the temperature and humidity control mode, the humidity variance, 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 Transformer-based control prediction model, and the control prediction model outputs the power increase value of the temperature and humidity control equipment, thereby obtaining the temperature and humidity enhanced control scheme.

[0010] In some embodiments, when the second route distance meets the temperature and humidity control conditions, the temperature and humidity enhancement control plan is sent to the cold chain logistics vehicle for execution, including: when the second route distance is lower than the distance threshold, it is determined that the temperature and humidity control conditions are met, and the temperature and humidity enhancement control plan is sent to the cold chain logistics vehicle for execution.

[0011] The present invention also discloses a cold chain logistics data management system, which is used for a cold chain logistics management server. The system includes a processing module and a storage module, in which a computer program is stored. The processing module executes the computer program to implement the following method steps: receiving a first real-time operating status sent by a cold chain logistics vehicle through an Internet of Things network, wherein 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 status according to the reporting frequency, wherein the second real-time operating status includes 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 control scheme based on the temperature and humidity control mode; determining the second route distance to 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 temperature and humidity enhancement control scheme to the cold chain logistics vehicle for execution.

[0012] The present invention also discloses 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, wherein the processor executes the computer program to implement any of the above methods.

[0013] The present invention also discloses a computer storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement any of the above methods.

[0014] The present invention also discloses a computer program product, which includes computer codes. When the computer codes are executed by a processor of an electronic device, any of the above methods is implemented.

[0015] Compared with the background technology in which the cold chain logistics management server is only used to monitor the real-time operation status of the cold chain logistics vehicles, the cold chain logistics management server in the present invention can also conduct in-depth analysis of 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 enhancement control plan based on this, which can effectively respond to changes in ambient temperature on the driving route, and can also effectively limit the increase in temperature and humidity control costs, thereby achieving 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 certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

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

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

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

[0020] The following is a description of the implementation of the present application by specific specific embodiments. People familiar with the technology can easily understand other advantages and effects of the present application from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

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

[0022] like Figure 1As shown, an embodiment of the present invention discloses a cold chain logistics data management method, which is used for a cold chain logistics management server, and the method includes the following steps: receiving a first real-time operating status sent by a cold chain logistics vehicle through an Internet of Things network, the first real-time operating status including 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 status according to the reporting frequency, the second real-time operating status including 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 control plan based on the temperature and humidity control mode; determining the second route distance to 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 temperature and humidity enhancement control plan to the cold chain logistics vehicle for execution.

[0023] In the scheme of the present invention, the cold chain logistics vehicle carries the goods that need to be preserved in the cold chain and travels on the preset driving route, and feeds back the first real-time operating 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 (i.e., the actual driving distance, not the straight-line distance) between the cold chain logistics vehicle and the high temperature environment area based on the first positioning information fed back. The high temperature environment area refers to an area with a temperature higher than the temperature of the current driving area of ​​the cold chain logistics vehicle by a preset temperature (e.g., 5°C). For example, the cold chain logistics vehicle is currently located in a tunnel, and the temperature in the tunnel is 20°C. The high temperature environment area refers to the area outside the tunnel (specifically, the exit of the tunnel) with a temperature of 26°C. The reporting frequency of the real-time operating status of the cold chain logistics vehicle is adjusted according to the first route distance, so as to further obtain the cold chain logistics vehicle reporting several groups of second real-time operating status, and both the first and second real-time operating statuses 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 sets 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 the temperature and humidity enhancement control 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 one). When the real-time updated second route distance meets the temperature and humidity control conditions, the temperature and humidity enhancement control plan can be sent to the cold chain logistics vehicle for execution.

[0024] Compared with the background technology in which the cold chain logistics management server is only used to monitor the real-time operation status of the cold chain logistics vehicles, the cold chain logistics management server in the present invention can also conduct in-depth analysis of 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 enhancement control plan based on this, which can effectively respond to changes in ambient temperature on the driving route, and can also effectively limit the increase in temperature and humidity control costs, thereby achieving the effect of reducing cold chain logistics costs.

[0025] 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 end 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 quantity threshold, the area is determined as the high temperature environment area, and the high temperature environment area is marked in the preset driving route.

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

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

[0028] The above-mentioned 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, thereby generating a temperature and humidity enhancement execution record. The temperature and humidity enhancement plan can be the above-mentioned temperature and humidity enhancement control plan formulated by the cold chain logistics management server, or it can be the temperature and humidity enhancement control plan formulated by the cold chain logistics vehicle itself, and the present invention does not limit this.

[0029] In some embodiments, the reporting frequency of the real-time operating status is determined according to the first route distance, and the cold chain logistics vehicle is controlled to report several groups of 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 solution function, and the solution function is as follows: ; In the formula, is the reporting frequency, is the benchmark 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. It is the average value of the temperature of each area on the preset driving route; controlling the cold chain logistics vehicle to report several groups of the second real-time operating status according to the reporting frequency.

[0030] In this embodiment, the present invention comprehensively considers the first route distance between the cold chain logistics vehicle and the nearest high temperature environment area and the temperature difference between the current driving area and the high temperature environment area to determine the optimal real-time operating status reporting frequency that should be adopted.

[0031] Based on the above solution function, at the first route distance The smaller the temperature difference The larger the distance, the higher the reporting frequency. The larger the temperature difference The smaller the value, the lower the reporting frequency. The temperature of each area on the preset driving route can be obtained in a variety of ways, such as through the information reported by the vehicles in the corresponding area. The reporting vehicle can be any vehicle with temperature reporting capability, and then the average temperature of each area is calculated to obtain .

[0032] In some embodiments, the temperature and humidity control mode of the cold chain logistics vehicle is calculated based on the first temperature and humidity data and several groups of second temperature and humidity data, including: 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, wherein the temperature data set includes several temperature data sorted in order of reporting time, and the humidity data set includes several humidity data sorted in order of reporting time; fitting a temperature control curve according to the temperature data set, fitting a humidity control curve according to the humidity data set, and calculating the temperature variance corresponding to the temperature control curve and the humidity variance corresponding to the humidity control curve; matching the temperature variance with the humidity variance to obtain the temperature and humidity control mode.

[0033] In this embodiment, as defined above, 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 cargo compartment, specifically referring to the temperature fluctuation and humidity fluctuation. To this end, the present invention first decomposes the first temperature and humidity data and several groups of second temperature and humidity data reported by the cold chain logistics vehicle, thereby obtaining 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 according to the order of reporting time. Then, each temperature data in the temperature data set and each humidity data in the humidity data set are mapped to a coordinate system (the horizontal axis is time and the vertical axis is temperature or humidity), and then curve fitting is performed to obtain a temperature control curve and a humidity control curve, respectively, and the temperature variance and humidity variance corresponding to the two curves can be further calculated. Finally, the temperature variance and humidity variance can be combined to determine the temperature and humidity control mode of the cold chain logistics vehicle.

[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 constitute a data group, and each data group corresponds to a temperature and humidity control mode label, thereby forming a comparison table. After determining the temperature variance and humidity variance of the cold chain logistics vehicle in the above manner, the corresponding temperature and humidity control mode label can be determined by matching with the comparison table.

[0035] It should be noted that the worse the temperature and humidity control effect may be due to the poor sealing of the cold chain logistics vehicle, or it may be due to 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 control scheme is determined based on the temperature and humidity control mode, including: inputting the temperature variance corresponding to the temperature and humidity control mode, the humidity variance, 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 Transformer-based control prediction model, and the control prediction model outputs the power increase value of the temperature and humidity control equipment, thereby obtaining the temperature and humidity enhanced control scheme.

[0037] In this embodiment, the present invention pre-builds a control prediction model based on Transformer. The control prediction model can be based on the temperature variance and humidity variance that characterize 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, that is, the high temperature environment area, to conduct in-depth analysis to obtain the power increase value of the temperature and humidity control equipment. Based on the power increase value obtained by the analysis, the temperature and humidity control equipment is controlled to enhance the control intensity of the temperature and humidity in the refrigerated cargo compartment of the cold chain logistics vehicle, thereby ensuring that the cold chain logistics vehicle can also maintain the relative stability of the temperature and humidity in the refrigerated cargo compartment when switching to the high temperature environment area. Moreover, the power increase value is the minimum value or critical value predicted by the control prediction model, which can reduce the power increase amplitude of the temperature and humidity control equipment, thereby reducing the energy consumption and transportation costs of the cold chain logistics vehicle.

[0038] In some embodiments, when the second route distance meets the temperature and humidity control conditions, the temperature and humidity enhancement control plan is sent to the cold chain logistics vehicle for execution, including: when the second route distance is lower than the distance threshold, it is determined that the temperature and humidity control conditions are met, and the temperature and humidity enhancement control plan is sent to the cold chain logistics vehicle for execution.

[0039] In this embodiment, when the distance between the cold chain logistics vehicle and the second route of the nearest high temperature environment is less than the distance threshold, the temperature and humidity enhancement control scheme can be sent to the cold chain logistics vehicle for execution. The distance threshold can be based on the temperature difference between the current driving area of ​​the cold chain logistics vehicle and the nearest high temperature environment area. Specifically, the temperature difference The larger the temperature difference is, the longer it takes for the cold chain logistics vehicle to perform enhanced regulation of temperature and humidity control, and the larger the distance threshold is set at this time; conversely, the temperature difference is The smaller it is, the shorter the time required for the cold chain logistics vehicle to perform enhanced regulation of temperature and humidity control, and the smaller the distance threshold is set.

[0040] like 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 comprising a processing module and a storage module, the storage module storing a computer program, the processing module executing the computer program to implement the following method steps: receiving a first real-time operating status sent by a cold chain logistics vehicle through an Internet of Things network, the first real-time operating status comprising first positioning information and first temperature and humidity data; determining the nearest high temperature environment area and the first route distance located 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, controlling the cold chain logistics vehicle to report several groups of second real-time operating status according to the reporting frequency, the second real-time operating status comprising 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 the temperature and humidity enhancement control scheme based on the temperature and humidity control mode; determining the second route distance to 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 temperature and humidity enhancement control scheme to the cold chain logistics vehicle for execution.

[0041] An embodiment of the present invention further discloses 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, wherein the processor executes the computer program to implement the method described in the above embodiment.

[0042] An embodiment of the present invention further discloses a computer storage medium, wherein the computer storage medium stores a computer program, and the computer program is executed by a processor to implement the method described in the above embodiment.

[0043] An embodiment of the present invention further discloses a computer program product, which includes computer code. When the computer code is executed by a processor of an electronic device, the method described in the above embodiment is implemented.

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

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

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

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

[0048] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0049] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A cold chain logistics data management method, used in a cold chain logistics management server, characterized in that: The method comprises the following steps: receiving a first real-time operating status sent by a cold chain logistics vehicle through an Internet of Things network, wherein the first real-time operating status comprises 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 status according to the reporting frequency, wherein the second real-time operating status comprises 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 the temperature and humidity enhancement control scheme based on the temperature and humidity control mode; A second route distance to the nearest high temperature environment area is determined based on the second positioning information, and when the second route distance meets the temperature and humidity control conditions, the temperature and humidity enhanced control plan is sent to the cold chain logistics vehicle for execution.

2. A cold chain logistics data management method according to claim 1, characterized in that: The preset driving route is set in the following manner: planning the preset driving route according to the starting point and the end 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 quantity threshold, the area is determined as the high temperature environment area, and the high temperature environment area is marked in the preset driving route.

3. A cold chain logistics data management method according to claim 2, characterized in that: Determining a reporting frequency of the real-time operation status according to the first route distance, and controlling the cold chain logistics vehicle to report a plurality of groups of second real-time operation statuses according to the reporting frequency, including: determining the reporting frequency of the real-time operation status according to the first route distance and a corresponding solution function, wherein the solution function is as follows: ; In the formula, is the reporting frequency, is the benchmark 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 temperature of each area on the preset driving route; controls the cold chain logistics vehicle to report several groups of the second real-time operating status according to the reporting frequency.

4. A cold chain logistics data management method according to claim 3, characterized in that: The temperature and humidity control mode of the cold chain logistics vehicle is calculated according to the first temperature and humidity data and several groups of the second temperature and humidity data, including: 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, wherein the temperature data set includes several temperature data sorted in order of reporting time, and the humidity data set includes several humidity data sorted in order of reporting time; fitting a temperature control curve according to the temperature data set, fitting a humidity control curve according to the humidity data set, and calculating the temperature variance corresponding to the temperature control curve and the humidity variance corresponding to the humidity control curve; matching the temperature variance with the humidity variance to obtain the temperature and humidity control mode.

5. A cold chain logistics data management method according to claim 4, characterized in that: Based on the temperature and humidity control mode, a temperature and humidity enhancement control scheme is determined, including: the temperature variance corresponding to the temperature and humidity control mode, the humidity variance, the temperature of the current driving area of ​​the cold chain logistics vehicle, and the temperature of the nearest high temperature environment area are input into a Transformer-based control prediction model, and the control prediction model outputs the power increase value of the temperature and humidity control equipment, that is, the temperature and humidity enhancement control scheme is obtained.

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

7. A cold chain logistics data management system, used in a cold chain logistics management server, characterized in that: The system includes a processing module and a storage module, wherein a computer program is stored in the storage module, and the processing module executes the computer program to implement the following method steps: receiving a first real-time operating status sent by a cold-chain logistics vehicle through an Internet of Things network, wherein 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 located 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 status according to the reporting frequency, wherein the second real-time operating status includes 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 control scheme based on the temperature and humidity control mode; A second route distance to the nearest high temperature environment area is determined based on the second positioning information, and when the second route distance meets the temperature and humidity control conditions, the temperature and humidity enhanced control plan is sent to the cold chain logistics vehicle for execution.

8. 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, wherein the processor executes the computer program to implement the method according to any one of claims 1 to 6.

9. A computer storage medium storing a computer program, characterized in that: The computer program is executed by a processor to implement the method according to any one of claims 1 to 6.

10. A computer program product, characterized in that: The computer program product includes computer codes, and when the computer codes are executed by a processor of an electronic device, the method according to any one of claims 1 to 6 is implemented.

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