Carbon footprint calculation method and device of logistics order and electronic equipment

Abstract

The invention discloses a logistics order carbon footprint calculation method and device and electronic equipment. The method comprises the following steps: receiving logistics order data; for a logistics order corresponding to the logistics order data, target transportation path data, target transportation mode data and target transportation distance data corresponding to the logistics order are determined through a geographic information system; and calculating the carbon footprint of the logistics order in the logistics transportation process according to the logistics order data, the target transportation path data, the target transportation mode data and the target transportation distance data. According to the method and the device, the technical problem that the calculation accuracy is relatively low due to the fact that the information of the logistics order is obtained manually and the carbon footprint in the logistics transportation process is calculated in the prior art is solved.

Description

Technical Field

[0001] The present application relates to the technical field of data processing, and in particular, to a method, apparatus, and electronic device for calculating the carbon footprint of a logistics order. Background Art

[0002] During the purchase of goods, the goods need to be transported to their place of use. As the scale of the logistics industry continues to increase, the carbon emissions of the logistics industry are also increasing. For enterprises involved in the logistics industry, their own development strategies need to consider "carbon neutrality" and "carbon peak", and plan production and operation plans starting from their own carbon assets. In this case, only by accurately verifying the carbon emissions during transportation can an effective strategy for reducing transportation carbon emissions be formulated.

[0003] However, in the current related technologies, the logistics information of logistics orders is obtained and statistically processed manually, and the carbon footprint during the logistics transportation process is calculated based on this logistics information. This requires a large amount of manpower for calculation and verification, the calculation accuracy is relatively low, and it is impossible to perform real-time calculation and statistics, nor can the logistics carbon footprint data be effectively analyzed.

[0004] In response to the above problems, no effective solution has been proposed yet. Summary of the Invention

[0005] The embodiments of the present application provide a method, apparatus, and electronic device for calculating the carbon footprint of a logistics order, so as to at least solve the technical problem of relatively low calculation accuracy in the related technologies by manually obtaining the information of logistics orders and calculating the carbon footprint during the logistics transportation process.

[0006] According to one aspect of the embodiments of the present application, a method for calculating the carbon footprint of a logistics order is provided, including: receiving logistics order data; for the logistics order corresponding to the logistics order data, determining the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through a geographic information system; and calculating the carbon footprint of the logistics order during the logistics transportation process based on the logistics order data, target transportation path data, target transportation mode data, and target transportation distance data.

[0007] Furthermore, for the logistics order corresponding to the logistics order data, determine the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through a geographic information system, including: for the logistics order corresponding to the logistics order data, determine whether there is specified data in the logistics order data corresponding to the logistics order to obtain a judgment result, where the specified data is data pre-configured by the user, and the specified data is at least one of the following: specified waypoint data, specified transportation mode data; if the judgment result is that there is specified data, then determine the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through the geographic information system based on the specified data; if the judgment result is that there is no specified data, then obtain the order start point and order end point corresponding to the logistics order, and determine the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through the geographic information system based on the order start point and order end point.

[0008] Furthermore, determine the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through the geographic information system based on the order start point and order end point, including: obtain target map data, and determine the target transportation path data through the geographic information system based on the target map data, order start point, and order end point, where the target transportation path data includes multiple segments of transportation sub-path data; determine the transportation mode data corresponding to the transportation sub-path data according to the target rules, and form the target transportation mode data by combining the transportation mode data corresponding to each segment of transportation sub-path data; calculate the transportation distance data corresponding to the transportation sub-path data based on the path start point and path end point corresponding to the transportation sub-path data, and form the target transportation distance data by combining the transportation distance data corresponding to each segment of transportation sub-path data.

[0009] Furthermore, determine the target transportation path data through the geographic information system based on the target map data, order start point, and order end point, including: perform geographic coding on the order start point and order end point respectively through the geographic information system based on the target map data to obtain the standard longitude and latitude address of the order start point and the standard longitude and latitude address of the order end point; determine multiple transportation path data corresponding to the logistics order based on the standard longitude and latitude address of the order start point and the standard longitude and latitude address of the order end point, and determine the target transportation path data from the multiple transportation path data according to the target rules.

[0010] Further, based on the logistics order data, target transportation route data, target transportation mode data, and target transportation distance data, calculate the carbon footprint of the logistics order during the logistics transportation process, including: obtaining the weight of the goods corresponding to the logistics order from the logistics order data; for the transportation mode data corresponding to the transportation sub-route data, obtaining the carbon emission factor corresponding to the transportation mode data; and calculating the carbon footprint of the logistics order during the logistics transportation process based on the weight of the goods corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-route data.

[0011] Further, calculate the carbon footprint of the logistics order during the logistics transportation process based on the weight of the goods corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-route data, including: calculating the carbon emissions generated by the logistics order during the transportation process corresponding to the transportation sub-route data based on the weight of the goods corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-route data; for multiple segments of transportation sub-route data, summing up the carbon emissions generated by the logistics order during the transportation process corresponding to the transportation sub-route data to obtain the carbon footprint of the logistics order during the logistics transportation process.

[0012] Further, after calculating the carbon footprint of the logistics order during the logistics transportation process, the method further includes: performing carbon emission analysis based on the carbon footprint of the logistics order during the logistics transportation process to obtain a carbon emission analysis result.

[0013] Further, after calculating the carbon footprint of the logistics order during the logistics transportation process, the method further includes: obtaining the carbon footprints of multiple logistics platforms within a preset data analysis period according to the preset data analysis period, and performing data analysis based on the carbon footprints of the multiple logistics platforms within the preset data analysis period to obtain an analysis result, where the analysis result at least includes a predicted carbon peak time point, a predicted carbon neutral time point, a target carbon peak route plan, and a target carbon neutral route plan.

[0014] Further, performing data analysis based on the carbon footprints of multiple logistics platforms within a preset data analysis period to obtain an analysis result, including: performing data analysis based on the transportation kilometer data and carbon emission data in the carbon footprints of the multiple logistics platforms within the preset data analysis period to obtain the predicted average carbon emissions per kilometer of transportation, the predicted total transportation kilometers, and the predicted total carbon emission data in the next data analysis period; performing data analysis based on the predicted average carbon emissions per kilometer of transportation, the predicted total transportation kilometers, and the predicted total carbon emission data to obtain the predicted carbon peak time point and the predicted carbon neutral time point; and determining the target carbon peak route plan and the target carbon neutral route plan based on the predicted carbon peak time point and the predicted carbon neutral time point.

[0015] According to another aspect of the embodiments of the present application, there is also provided a method for calculating the carbon footprint of a logistics order, including: obtaining the logistics order data uploaded by the client; for the logistics order corresponding to the logistics order data in the cloud server, determining the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through a geographic information system; calculating the carbon footprint of the logistics order during the logistics transportation process based on the logistics order data, target transportation path data, target transportation mode data, and target transportation distance data; and feeding back the carbon footprint of the logistics order during the logistics transportation process to the client.

[0016] According to another aspect of the embodiments of the present application, there is also provided a device for calculating the carbon footprint of a logistics order, including: a first receiving unit for receiving logistics order data; a first determining unit for determining, through a geographic information system, the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order for the logistics order corresponding to the logistics order data; and a first calculating unit for calculating the carbon footprint of the logistics order during the logistics transportation process based on the logistics order data, target transportation path data, target transportation mode data, and target transportation distance data.

[0017] Further, the first determining unit includes: a first judgment subunit for judging whether there is specified data in the logistics order data corresponding to the logistics order for the logistics order corresponding to the logistics order data, and obtaining a judgment result, where the specified data is data pre-configured by the user, and the specified data is at least one of the following: specified waypoint data, specified transportation mode data; a first determination subunit for, if the judgment result is that there is specified data, determining the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through a geographic information system based on the specified data; and a second determination subunit for, if the judgment result is that there is no specified data, obtaining the order start point and order end point corresponding to the logistics order, and determining the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through a geographic information system based on the order start point and order end point.

[0018] Further, the second determination subunit includes: a first acquisition module, configured to acquire target map data, and determine target transportation path data through a geographic information system according to the target map data, the order start point, and the order end point, where the target transportation path data includes multiple segments of transportation sub-path data; a first composition module, configured to determine transportation mode data corresponding to the transportation sub-path data according to a target rule, and form the target transportation mode data by combining the transportation mode data corresponding to each segment of transportation sub-path data; a second composition module, configured to calculate transportation distance data corresponding to the transportation sub-path data according to the path start point and the path end point corresponding to the transportation sub-path data, and form the target transportation distance data by combining the transportation distance data corresponding to each segment of transportation sub-path data.

[0019] Further, the first acquisition module includes: a first processing sub-module, configured to perform geographic coding on the order start point and the order end point respectively through a geographic information system according to the target map data, to obtain the standard longitude and latitude address of the order start point and the standard longitude and latitude address of the order end point; a first determination sub-module, configured to determine multiple transportation path data corresponding to the logistics order according to the standard longitude and latitude address of the order start point and the standard longitude and latitude address of the order end point, and determine the target transportation path data from the multiple transportation path data according to a target rule.

[0020] Further, the first calculation unit includes: a first acquisition sub-unit, configured to acquire the weight of the goods corresponding to the logistics order from the logistics order data; a second acquisition sub-unit, configured to acquire the carbon emission factor corresponding to the transportation mode data for the transportation mode data corresponding to the transportation sub-path data; a first calculation sub-unit, configured to calculate the carbon footprint of the logistics order during the logistics transportation process according to the weight of the goods corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-path data.

[0021] Further, the first calculation sub-unit includes: a first calculation module, configured to calculate the carbon emission amount generated by the logistics order during the transportation process corresponding to the transportation sub-path data according to the weight of the goods corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-path data; a second calculation module, configured to perform a summation calculation on the carbon emission amounts generated by the logistics order during the transportation processes corresponding to the multiple segments of transportation sub-path data, to obtain the carbon footprint of the logistics order during the logistics transportation process.

[0022] Further, the carbon footprint calculation device for the logistics order further includes: a first analysis unit, configured to perform carbon emission analysis according to the carbon footprint of the logistics order during the logistics transportation process after calculating the carbon footprint of the logistics order during the logistics transportation process, to obtain a carbon emission analysis result.

[0023] Further, the carbon footprint calculation device for logistics orders further includes: a second analysis unit, configured to, after calculating the carbon footprint of a logistics order during the logistics transportation process, obtain the carbon footprints of multiple logistics platforms within a preset data analysis period according to the preset data analysis period, and perform data analysis based on the carbon footprints of the multiple logistics platforms within the preset data analysis period to obtain an analysis result, where the analysis result at least includes a predicted carbon peak time point, a predicted carbon neutral time point, a target carbon peak route plan, and a target carbon neutral route plan.

[0024] Further, the second analysis unit includes: a first analysis subunit, configured to perform data analysis based on the transport kilometer data and carbon emission data in the carbon footprints of multiple logistics platforms within a preset data analysis period to obtain a predicted average carbon emission per kilometer of transportation, a predicted total transport kilometers, and predicted total carbon emission data in the next data analysis period; a second analysis subunit, configured to perform data analysis based on the predicted average carbon emission per kilometer of transportation, the predicted total transport kilometers, and the predicted total carbon emission data to obtain a predicted carbon peak time point and a predicted carbon neutral time point; and a third determination subunit, configured to determine a target carbon peak route plan and a target carbon neutral route plan based on the predicted carbon peak time point and the predicted carbon neutral time point.

[0025] According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium storing a program, where, when the program runs, it controls the device where the storage medium is located to execute the carbon footprint calculation method for logistics orders described in any one of the above.

[0026] According to another aspect of the embodiments of the present invention, there is also provided an electronic device, including: a memory storing an executable program; and a processor configured to run the program, where, when the program runs, it executes the carbon footprint calculation method for logistics orders described in any one of the above.

[0027] In the embodiments of the present application, the method includes receiving logistics order data; for the logistics order corresponding to the logistics order data, determining the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through a geographic information system; and calculating the carbon footprint of the logistics order during the logistics transportation process based on the logistics order data, target transportation path data, target transportation mode data, and target transportation distance data. After receiving the logistics order data, a better transportation path and transportation mode can be determined for the logistics order through the geographic information system, thereby reducing the transportation distance and effectively reducing the carbon emissions generated during the logistics transportation process. Then, based on the logistics order data, target transportation path data, target transportation mode data, and target transportation distance data, the carbon footprint of the logistics order during the logistics transportation process can be automatically calculated, realizing real-time carbon footprint calculation, improving the calculation efficiency and accuracy of the carbon footprint, achieving the purpose of automatically calculating the carbon footprint of the logistics order during the logistics transportation process, and thus realizing the technical effect of improving the calculation efficiency and accuracy of the carbon footprint, and further solving the technical problem of low calculation accuracy in the related art where the information of the logistics order is obtained manually and the carbon footprint during the logistics transportation process is calculated. BRIEF DESCRIPTION OF THE DRAWINGS

[0028] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments and descriptions thereof of the present application are used to explain the present application and do not constitute an improper limitation of the present application. In the drawings:

[0029] Figure 1 FIG. is a schematic diagram of a computer terminal provided in Embodiment 1 of the present application;

[0030] Figure 2 FIG. is a flowchart of a method for calculating the carbon footprint of a logistics order provided in Embodiment 1 of the present application;

[0031] Figure 3 FIG. is a schematic diagram of an optional carbon footprint calculation framework for a logistics order provided in Embodiment 1 of the present application;

[0032] Figure 4 FIG. is a flowchart of a method for calculating the carbon footprint of a logistics order provided in Embodiment 2 of the present application;

[0033] Figure 5 FIG. is a schematic diagram of a carbon footprint calculation device for a logistics order provided in Embodiment 3 of the present application;

[0034] Figure 6 FIG. is a schematic diagram of a calculation terminal provided in Embodiment 4 of the present application. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0035] To enable those skilled in the art to better understand the solution of this application, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of this application. Obviously, the described embodiments are only a part of the embodiments of this application, rather than all the embodiments. Based on the embodiments in this application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of this application.

[0036] It should be noted that the terms "first", "second", etc. in the description and claims of this application and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily need to describe a specific order or sequence. It should be understood that such used data can be interchanged under appropriate circumstances so that the embodiments of this application described here can be implemented in an order other than those illustrated or described here. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device that includes a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0037] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. And the collection, use and processing of relevant data need to comply with the relevant laws, regulations and standards in the relevant regions, and corresponding operation entrances are provided for users to choose to authorize or refuse.

[0038] First, some nouns or terms that appear in the process of describing the embodiments of this application are applicable to the following explanations:

[0039] Geographic Information System, the full English name is Geographic Information System, abbreviated as GIS.

[0040] Carbon Footprint: It refers to the direct and indirect greenhouse gas emissions during the entire life cycle of an activity or product, that is, the greenhouse gas emissions generated from the extraction and manufacturing, assembly, transportation of raw materials of a product (or involved in an activity), until the greenhouse gas emissions generated during use, waste treatment or recycling are all included in the calculation of the carbon footprint.

[0041] Carbon neutrality (English full name, Carbon Neutrality), an energy conservation and emission reduction term. Generally, it refers to the total amount of carbon dioxide or greenhouse gas emissions directly or indirectly generated by an enterprise, product, activity or individual within a certain period of time. Through forms such as afforestation and energy conservation and emission reduction, it offsets its own carbon dioxide or greenhouse gas emissions, achieving a positive and negative offset and reaching relative "zero emissions".

[0042] Peak Carbon Dioxide Emissions means that at a certain point in time, the emissions of carbon dioxide no longer increase and reach a peak, and then gradually decline.

[0043] Example 1

[0044] According to the embodiments of the present application, a method for calculating the carbon footprint of a logistics order is also provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. And although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in a different order than here.

[0045] The method embodiments provided by the first embodiment of the present application can be executed on a mobile terminal, a computer terminal or a similar computing device. Figure 1 A hardware structure block diagram of a computer terminal (or mobile device) for implementing the method for calculating the carbon footprint of a logistics order is shown. As Figure 1 shown, the computer terminal (or mobile device) 10 may include a set of processors 102 (the set of processors 102 may include, but is not limited to, processing devices such as a microprocessor MCU (Microcontroller Unit) or a field programmable gate array FPGA (Field Programmable Gate Array), and the set of processors 102 may include a set of processors, Figure 1 which are shown as 102a, 102b,..., 102n in Figure 1 ), a memory 104 for storing data, and a transmission device 106 for communication functions. In addition, it may further include: a display, an input / output interface (I / O interface), a universal serial bus (USB, Universal Serial Bus) port (which can be included as one of the ports of the BUS bus), a network interface, a power supply and / or a camera. Those of ordinary skill in the art can understand that Figure 1 the structure shown is only schematic and does not limit the structure of the above-mentioned electronic device. For example, the computer terminal 10 may further include more or fewer components than Figure 1 shown, or have a different configuration from

[0046] It should be noted that one or more of the above-mentioned processors 102 and / or other data processing circuits can generally be referred to as "data processing circuits" herein. The data processing circuit can be embodied in software, hardware, firmware, or any combination thereof, in whole or in part. In addition, the data processing circuit can be a single independent processing module, or be incorporated in whole or in part into any one of other elements in the computer terminal 10 (or mobile device).

[0047] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage devices corresponding to the carbon footprint calculation method of logistics orders in the embodiments of the present application. The processor 102 executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, implements the above-mentioned carbon footprint calculation method of logistics orders. The memory 104 can include high-speed random access memory, and can also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memories. In some instances, the memory 104 can further include a memory remotely set relative to the processor 102, and these remote memories can be connected to the computer terminal 10 through a network. Examples of the above-mentioned network include, but are not limited to, the Internet, enterprise intranet, local area network, mobile communication network, and combinations thereof.

[0048] The transmission device 106 is used to receive or send data via a network. Specific examples of the above-mentioned network can include the wireless network provided by the communication provider of the computer terminal 10. In one instance, the transmission device 106 includes a network interface controller (NIC), which can be connected to other network devices through a base station and thus communicate with the Internet. In one instance, the transmission device 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.

[0049] The display can be, for example, a touch-screen liquid crystal display (LCD), which enables users to interact with the user interface of the computer terminal 10 (or mobile device).

[0050] As the scale of the logistics industry continues to increase, the carbon emissions of the logistics industry are also increasing. For enterprises involved in the logistics industry, their own development strategies need to consider "carbon neutrality" and "carbon peak", and plan production and operation plans starting from their own carbon assets. In this case, only by accurately verifying the carbon emissions during transportation can effective strategies for reducing transportation carbon emissions be formulated.

[0051] However, in the current related technologies, the logistics information of logistics orders is obtained and statistically analyzed manually, and the carbon footprint during the logistics transportation process is calculated based on this logistics information. This requires a large amount of manpower for calculation and verification, with relatively low calculation accuracy, and it is impossible to perform real-time calculation and statistics, nor can the logistics carbon footprint data be effectively analyzed.

[0052] In the above technical background, the present application provides a Figure 2 carbon footprint calculation method for logistics orders as shown. Figure 2 It is a flowchart of the carbon footprint calculation method for logistics orders provided in Embodiment 1 of the present application. The method includes:

[0053] Step S201, receiving logistics order data.

[0054] Optionally, the logistics order data may include the order starting point, order ending point, cargo weight, designated passing points, designated transportation mode, etc. corresponding to the logistics order, or there may be no designated passing points and designated transportation mode. Optionally, the logistics order data may be sent by multiple logistics platforms, and the multiple logistics platforms may be the logistics platforms of multiple logistics enterprises. For example, the logistics platform realizes the access of logistics order data through the open interface API provided by the carbon footprint calculation platform, sends the newly added logistics order data (such as the logistics order data that has completed transportation) to the carbon footprint calculation platform and triggers the automatic calculation of the carbon footprint to obtain the result.

[0055] Step S202, for the logistics order corresponding to the logistics order data, determine the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through a geographic information system.

[0056] Optionally, for the logistics order corresponding to the logistics order data, a better transportation path (i.e., the target transportation path data), a better transportation mode (i.e., the target transportation mode data), and the transportation distance corresponding to the better transportation path (i.e., the target transportation distance data) corresponding to the logistics order can be determined through the geographic information system GIS. For example, through GIS, the transportation path, transportation vehicle, and transportation distance can be recommended based on the order starting point and order ending point corresponding to the logistics order.

[0057] Step S203, calculate the carbon footprint of the logistics order during the logistics transportation process based on the logistics order data, target transportation path data, target transportation mode data, and target transportation distance data.

[0058] Optionally, based on the logistics order data, target transportation route data, target transportation mode data, and target transportation distance data, the carbon footprint of the logistics order during the logistics transportation process can be automatically calculated. For example, based on the cargo weight and GIS calculation result data, and combined with the corresponding carbon emission factors, the carbon footprint of the logistics order during the logistics transportation process can be calculated. Here, the carbon footprint is the greenhouse gas emissions directly and indirectly generated by the logistics order during the logistics transportation process.

[0059] In this solution, after receiving the logistics order data, the geographical information system can determine a better transportation route and transportation mode for the logistics order, thereby reducing the transportation distance and effectively reducing the carbon emissions generated during the logistics transportation process. Then, based on the logistics order data, target transportation route data, target transportation mode data, and target transportation distance data, the carbon footprint of the logistics order during the logistics transportation process can be automatically calculated, realizing real-time carbon footprint calculation and improving the calculation efficiency and accuracy of the carbon footprint.

[0060] In an alternative embodiment, the Figure 3 schematic diagram shown can be used to implement the carbon footprint calculation of the logistics order. As Figure 3 shown, the automatic carbon footprint calculation framework (i.e., the carbon footprint calculation platform) proposed in this solution mainly includes logistics order data access, GIS calculation, and carbon footprint calculation. Among them, logistics order data access refers to the access of data such as the order start point, order end point, and cargo weight corresponding to the logistics order. For example, the logistics platforms of each logistics enterprise realize logistics order data access through the open interface API provided by the carbon footprint calculation platform. For example, send the newly added logistics order data (such as the logistics order data that has completed transportation) to the carbon footprint calculation platform to provide a data basis for subsequent GIS calculation and carbon footprint calculation; GIS calculation mainly includes geocoding, path calculation, vehicle calculation, and distance calculation. For example, through GIS, the transportation route, transportation vehicle, and transportation distance can be recommended based on the order start point and order end point corresponding to the logistics order; carbon footprint calculation mainly includes carbon emission calculation, carbon emission analysis, and emission reduction planning. For example, based on the logistics order data and GIS calculation result data, combined with the corresponding carbon emission factors, carbon emission calculation, carbon emission analysis, etc. are carried out.

[0061] In the above process, based on the GIS-based automated calculation framework for the carbon footprint of logistics orders, after accessing the logistics order data of the logistics platform, it can recommend better transportation routes and transportation methods for the logistics orders through GIS, calculate the transportation distance, and then automatically calculate the carbon footprint of the logistics orders during the logistics transportation process through the logistics order data and the GIS calculation results. Since GIS recommends better transportation routes, it can reduce the transportation distance, thereby effectively reducing the carbon emissions generated during the logistics transportation process. In addition, in this solution, data related to the logistics carbon footprint can also be connected to a big data platform (for example, the big data platform for logistics carbon footprint) to uniformly manage the data, and the time points of carbon peak and carbon neutrality in the logistics industry can also be estimated through big data analysis, a reasonable carbon peak route plan and carbon neutrality route plan can be given, and the relevant data and their analysis results can be effectively presented.

[0062] How to determine the target transportation route data, target transportation method data, and target transportation distance data corresponding to the logistics order is crucial. Therefore, in the carbon footprint calculation method for logistics orders provided in Embodiment 1 of this application, for the logistics order corresponding to the logistics order data, the target transportation route data, target transportation method data, and target transportation distance data corresponding to the logistics order are determined through a geographic information system, including: for the logistics order corresponding to the logistics order data, it is judged whether there is specified data in the logistics order data corresponding to the logistics order to obtain a judgment result, where the specified data is data pre-configured by the user, and the specified data is at least one of the following: specified waypoint data, specified transportation method data; if the judgment result is that there is specified data, then the target transportation route data, target transportation method data, and target transportation distance data corresponding to the logistics order are determined through the geographic information system based on the specified data; if the judgment result is that there is no specified data, then the order start point and order end point corresponding to the logistics order are obtained, and the target transportation route data, target transportation method data, and target transportation distance data corresponding to the logistics order are determined through the geographic information system based on the order start point and order end point.

[0063] Optionally, in the process of determining the target transportation route data, target transportation method data, and target transportation distance data corresponding to the logistics order through the geographic information system, for the logistics order corresponding to the logistics order data, it is first judged whether there is specified data pre-configured by the user in the logistics order data corresponding to the logistics order. For example, the user specifies that the waypoint is Distribution Center A and the transportation method is rail transportation, etc.

[0064] Optionally, if it is determined that there is specified data, the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order are determined by GIS based on the specified data. Optionally, if the logistics order data contains specified waypoint data, the GIS is used to determine a better transportation path based on the order start point, order end point, and specified waypoints, segment it according to the waypoints, determine the transportation mode for each segment, and calculate the distance for each segment; if the logistics order data contains specified transportation mode data, the GIS is used to determine a better transportation path and calculate the distance based on the order start point and order end point. For example, when the specified transportation mode is a truck, the truck is used as the target transportation mode, and a better transportation path from the order start point to the order end point can be determined by GIS and the distance calculated according to rules such as shorter transportation time or shorter transportation distance; if the logistics order data contains both specified waypoint data and specified transportation mode data, the GIS is used to determine a better transportation path for each transportation sub-segment based on the order start point, order end point, and multiple transportation sub-segments segmented by the specified waypoints, as well as the transportation mode for each specified transportation sub-segment, and calculate the distance for each segment. For example, based on the order start point, order end point, and specified waypoint (such as distribution center A) by GIS, when the transportation mode from the order start point to distribution center A is rail transportation and the transportation mode from distribution center A to the order end point is a truck, it is determined: the better transportation path and the corresponding transportation distance when using rail transportation as the transportation mode from the order start point to distribution center A; the better transportation path and the corresponding transportation distance when using a truck as the transportation mode from distribution center A to the order end point.

[0065] Optionally, if it is determined that there is no specified data, the order start point and order end point corresponding to the logistics order are obtained from the logistics order data, and the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order are determined by GIS based on the order start point and order end point.

[0066] In order to accurately determine the target transportation path data, target transportation mode data, and target transportation distance data corresponding to a logistics order, in the carbon footprint calculation method for logistics orders provided in Embodiment 1 of this application, the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order are determined by a geographic information system based on the order start point and the order end point, including: obtaining target map data, and determining the target transportation path data by the geographic information system based on the target map data, the order start point, and the order end point, where the target transportation path data includes multiple segments of transportation sub-path data; determining the transportation mode data corresponding to the transportation sub-path data according to the target rule, and forming the target transportation mode data by combining the transportation mode data corresponding to each segment of the transportation sub-path data; calculating the transportation distance data corresponding to the transportation sub-path data based on the path start point and path end point corresponding to the transportation sub-path data, and forming the target transportation distance data by combining the transportation distance data corresponding to each segment of the transportation sub-path data.

[0067] Optionally, in the process of determining the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order by GIS based on the order start point and the order end point, first obtain the target map data, and determine the target transportation path data by GIS based on the target map data, the order start point, and the order end point, where the target map data can be a map containing multiple roads. For example, by GIS, based on multiple roads on the map, the order start point, and the order end point, multiple better segments of transportation sub-path are determined.

[0068] Optionally, determine the transportation mode data corresponding to the transportation sub-path data according to the target rule, and form the target transportation mode data by combining the transportation mode data corresponding to each segment of the transportation sub-path data, where the target rule can be a rule of smaller carbon emission factor, a rule of shorter transportation time, or a rule of shorter transportation distance, etc., which can be formulated according to the actual situation and different requirements and are not limited here. For example, according to the rule of smaller carbon emission factor, it is determined that the transportation mode corresponding to the first segment of the transportation sub-path is truck transportation, and the transportation mode corresponding to the second segment of the transportation sub-path is railway transportation, then the target transportation mode from the order start point to the order end point includes truck transportation and railway transportation.

[0069] Optionally, according to the path start point and path end point corresponding to the transportation sub-path data, the transportation distance data corresponding to the transportation sub-path data can be calculated, and the transportation distance data corresponding to each segment of the transportation sub-path data is composed into the target transportation distance data. For example, according to the path start point and path end point corresponding to the first segment of the transportation sub-path, the transportation distance corresponding to the first segment of the transportation sub-path is calculated; according to the path start point and path end point corresponding to the second segment of the transportation sub-path, the transportation distance corresponding to the second segment of the transportation sub-path is calculated. Then the target transportation distance from the order start point to the order end point is the transportation distance corresponding to the first segment of the transportation sub-path plus the transportation distance corresponding to the second segment of the transportation sub-path.

[0070] It should be noted that through the above process, the accurate determination of the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order is realized, providing an accurate data basis for subsequent carbon footprint calculation, thereby effectively improving the calculation accuracy of the carbon footprint.

[0071] In order to accurately determine the target transportation path data, in the carbon footprint calculation method of the logistics order provided in Embodiment 1 of the present application, the target transportation path data is determined through a geographic information system according to the target map data, the order start point, and the order end point, including: geocoding the order start point and the order end point respectively through the geographic information system according to the target map data to obtain the standard longitude and latitude address of the order start point and the standard longitude and latitude address of the order end point; determining multiple transportation path data corresponding to the logistics order according to the standard longitude and latitude address of the order start point and the standard longitude and latitude address of the order end point, and determining the target transportation path data from the multiple transportation path data according to the target rule.

[0072] Optionally, in the process of determining the target transportation path data through the GIS according to the target map data, the order start point, and the order end point, as Figure 3 shown, geocoding the order start point through the GIS according to the target map data to obtain the standard longitude and latitude address of the order start point, and geocoding the order end point to obtain the standard longitude and latitude address of the order end point. For example, the order start point corresponds to the shipping address (such as xx Community, xx District, xx City), and the order end point corresponds to the receiving address (such as yy Community, yy District, yy City). First, geocoding is performed through the GIS according to the target map data to obtain the standard longitude and latitude address of the order start point and the standard longitude and latitude address of the order end point.

[0073] Optionally, based on the standard longitude and latitude addresses of the order start point and the order end point, multiple transportation route data corresponding to the logistics order can be determined, and the target transportation route data can be determined from the multiple transportation route data according to the target rule. For example, based on the standard longitude and latitude addresses of the order start point and the order end point, multiple map routes (i.e., transportation route data) corresponding to the logistics order can be determined, and a better target transportation route can be determined from the multiple map routes according to the rule of shorter transportation routes.

[0074] It should be noted that through the above process, the accurate determination of the target transportation route data is realized, providing an accurate data basis for subsequent carbon footprint calculation, thereby effectively improving the calculation accuracy of the carbon footprint.

[0075] In order to accurately calculate the carbon footprint of the logistics order during the logistics transportation process, in the carbon footprint calculation method of the logistics order provided in Embodiment 1 of this application, based on the logistics order data, target transportation route data, target transportation mode data, and target transportation distance data, the carbon footprint of the logistics order during the logistics transportation process is calculated, including: obtaining the cargo weight corresponding to the logistics order from the logistics order data; for the transportation mode data corresponding to the transportation sub-route data, obtaining the carbon emission factor corresponding to the transportation mode data; and calculating the carbon footprint of the logistics order during the logistics transportation process based on the cargo weight corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-route data.

[0076] Optionally, in the process of calculating the carbon footprint of the logistics order during the logistics transportation process based on the logistics order data, target transportation route data, target transportation mode data, and target transportation distance data, the cargo weight corresponding to the logistics order is obtained from the logistics order data. For the transportation mode (e.g., specific transportation vehicle) corresponding to each section of the transportation sub-route data calculated by GIS, the carbon emission factor corresponding to the transportation vehicle (i.e., Figure 3 the carbon emission factor shown) is obtained, and then the carbon footprint of the logistics order during the logistics transportation process can be calculated based on the cargo weight corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-route data.

[0077] In order to accurately calculate the carbon footprint of a logistics order during the logistics transportation process, in the carbon footprint calculation method of the logistics order provided in Embodiment 1 of this application, based on the cargo weight corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-path data, the carbon footprint of the logistics order during the logistics transportation process is calculated, including: based on the cargo weight corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-path data, calculating the carbon emissions generated by the logistics order during the transportation process corresponding to the transportation sub-path data; for multiple segments of transportation sub-path data, summing up the carbon emissions generated by the logistics order during the transportation process corresponding to the transportation sub-path data to obtain the carbon footprint of the logistics order during the logistics transportation process.

[0078] Optionally, during the process of calculating the carbon footprint of the logistics order during the logistics transportation process based on the cargo weight corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-path data, based on the cargo weight corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-path data, the carbon emissions generated by the logistics order during the transportation process corresponding to the transportation sub-path data can be calculated. For example, assuming there are K segments of transportation sub-paths, the carbon emissions generated by the logistics order during the transportation process corresponding to the i-th segment of transportation sub-path are:

[0079] E i = w * d i * f i

[0080] where w is the cargo weight, d i is the transportation distance corresponding to the i-th segment of transportation sub-path, and f i is the carbon emission factor corresponding to the transportation mode corresponding to the i-th segment of transportation sub-path.

[0081] Optionally, for multiple segments of transportation sub-path data, by summing up the carbon emissions generated by the logistics order during the transportation process corresponding to the transportation sub-path data, the carbon footprint of the logistics order during the logistics transportation process can be obtained. For example, the total emissions (i.e., carbon footprint) generated by the logistics order during the logistics transportation process are:

[0082]

[0083] It should be noted that through the above process, the real-time calculation of the carbon footprint of the logistics order during the logistics transportation process is realized, improving the calculation efficiency and accuracy of the carbon footprint.

[0084] In order to accurately determine the carbon emission optimization strategy corresponding to the logistics platform, in the carbon footprint calculation method of the logistics order provided in the first embodiment of this application, after calculating the carbon footprint of the logistics order during the logistics transportation process, carbon emission analysis is performed based on the carbon footprint of the logistics order during the logistics transportation process to obtain the carbon emission analysis result.

[0085] Optionally, after calculating the carbon footprint of the logistics order during the logistics transportation process, carbon emission analysis can be performed based on the carbon footprint of the logistics order during the logistics transportation process (i.e., Figure 3 the carbon emission analysis shown), to obtain the carbon emission analysis result. For example, for the logistics platform of logistics enterprise B, the existing transportation route, transportation mode, and transportation distance of the enterprise can be analyzed and compared with the better transportation route, better transportation mode, and corresponding transportation distance determined by the carbon footprint calculation platform of this solution. For example, the first carbon emission data is calculated through the existing transportation route, transportation mode, and transportation distance of the enterprise, and the second carbon emission data is calculated through the better transportation route, better transportation mode, and corresponding transportation distance determined by the carbon footprint calculation platform of this solution. When the second carbon emission data is less than the first carbon emission data, the differences in the transportation route, transportation mode, and transportation distance in these two calculation processes can be compared, so as to determine the difference factors that result in the smaller second carbon emission data. For example, the carbon emission analysis result corresponding to the logistics platform of logistics enterprise B can be that the better transportation route determined by the carbon footprint calculation platform of this solution is better than the existing transportation route of the enterprise.

[0086] Optionally, based on the carbon emission analysis result, the carbon emission optimization strategy corresponding to the logistics platform can be determined. For example, based on the carbon emission analysis result, emission reduction planning can be carried out for the logistics enterprise and emission reduction suggestions (i.e., carbon emission optimization strategies) can be generated. For example, the emission reduction suggestion for the logistics platform of logistics enterprise B can be to optimize the transportation route; the emission reduction suggestion for the logistics platform of logistics enterprise C can be to optimize the transportation mode (such as replacing the means of transportation).

[0087] It should be noted that through the above process, the accurate determination of the carbon emission optimization strategy corresponding to the logistics platform is achieved, that is, the effective formulation of the strategy to reduce transportation carbon emissions is realized.

[0088] In order to be able to effectively analyze the logistics carbon footprint, in the carbon footprint calculation method of the logistics order provided in the first embodiment of this application, after calculating the carbon footprint of the logistics order during the logistics transportation process, according to the preset data analysis period, the carbon footprints of multiple logistics platforms within the preset data analysis period are obtained, and data analysis is performed based on the carbon footprints of multiple logistics platforms within the preset data analysis period to obtain the analysis result, where the analysis result at least includes the predicted carbon peak time point, the predicted carbon neutral time point, the target carbon peak route plan, and the target carbon neutral route plan.

[0089] Optionally, after calculating the carbon footprint of a logistics order during the logistics transportation process, the carbon footprint of the logistics order during the logistics transportation process can be sent to a target platform for managing the logistics carbon footprint. For example, Figure 3 the logistics carbon footprint big data platform shown.

[0090] Optionally, when a preset data analysis period (such as a quarter, a year, etc.) is reached, according to the preset data analysis period, the carbon footprints of multiple logistics platforms within the preset data analysis period can be obtained through the big data platform, and data analysis can be performed based on the carbon footprints of the multiple logistics platforms within the preset data analysis period to obtain an analysis result. For example, through big data analysis, the carbon peak time point and carbon neutral time point of the logistics industry can be estimated to obtain the predicted carbon peak time point and predicted carbon neutral time point, and a reasonable carbon peak route plan (i.e., the target carbon peak route plan) and a reasonable carbon neutral route plan (i.e., the target carbon neutral route plan) can be given. Additionally, the relevant data and its analysis results can be effectively presented, such as showing them to a target object (such as a management staff, etc.).

[0091] In order to accurately determine the analysis result, in the carbon footprint calculation method of the logistics order provided in Embodiment 1 of the present application, data analysis is performed based on the carbon footprints of multiple logistics platforms within the preset data analysis period to obtain an analysis result, including: performing data analysis based on the transportation kilometer data and carbon emission data in the carbon footprints of multiple logistics platforms within the preset data analysis period to obtain the predicted average carbon emission per kilometer of transportation, the predicted total transportation kilometers, and the predicted total carbon emission data in the next data analysis period; performing data analysis based on the predicted average carbon emission per kilometer of transportation, the predicted total transportation kilometers, and the predicted total carbon emission data to obtain the predicted carbon peak time point and the predicted carbon neutral time point; and determining the target carbon peak route plan and the target carbon neutral route plan based on the predicted carbon peak time point and the predicted carbon neutral time point.

[0092] Optionally, in the process of performing data analysis based on the carbon footprints of multiple logistics platforms within a preset data analysis period to obtain an analysis result, data analysis can be performed based on the transport kilometer data and carbon emission data in the carbon footprints of multiple logistics platforms within the preset data analysis period, and the predicted average carbon emission per kilometer of transportation, the predicted total transport kilometers, and the predicted total carbon emission data in the next data analysis period can be obtained. Then, based on the predicted average carbon emission per kilometer of transportation, the predicted total transport kilometers, and the predicted total carbon emission data, data analysis can be performed to obtain the predicted carbon peak time point and the predicted carbon neutral time point, so that the target carbon peak route plan and the target carbon neutral route plan can be determined based on the predicted carbon peak time point and the predicted carbon neutral time point. For example, by accessing a large amount of logistics carbon footprint-related data, the logistics carbon footprint big data platform can count and analyze the transport kilometer data and carbon emission data of the logistics industry over the years, so as to estimate the average carbon emission per kilometer of transportation, the total transport kilometers, and the total carbon emission data of the logistics industry in the future years, and estimate the carbon peak time point and the carbon neutral time point of the logistics industry, and recommend reasonable carbon peak route plans (such as replacing the transportation mode to reduce the carbon emission factor during transportation, etc.) and reasonable carbon neutral route plans (such as reducing the total transport kilometers, etc.).

[0093] It should be noted that this solution can use GIS technology to perform path calculation, transportation mode calculation, and distance calculation on logistics orders. After the calculation framework is connected to the logistics platform, the entire process can be automated, that is, it can automatically calculate the carbon footprint of logistics orders during the logistics transportation process based on the logistics order data, the transportation path, transportation mode, and transportation distance calculated by GIS, realizing the automation of the calculation of logistics order carbon footprints. In addition, through big data analysis, the carbon peak time point and the carbon neutral time point of the logistics industry can be estimated, so as to give reasonable carbon peak route plans and carbon neutral route plans.

[0094] In an embodiment of the present application, the method includes receiving logistics order data; for the logistics order corresponding to the logistics order data, determining the target transportation route data, target transportation mode data, and target transportation distance data corresponding to the logistics order through a geographic information system; and calculating the carbon footprint of the logistics order during the logistics transportation process based on the logistics order data, target transportation route data, target transportation mode data, and target transportation distance data. After receiving the logistics order data, a better transportation route and transportation mode can be determined for the logistics order through the geographic information system, thereby reducing the transportation distance and effectively reducing the carbon emissions generated during the logistics transportation process. Then, based on the logistics order data, target transportation route data, target transportation mode data, and target transportation distance data, the carbon footprint of the logistics order during the logistics transportation process can be automatically calculated, realizing real-time carbon footprint calculation, improving the calculation efficiency and accuracy of the carbon footprint, achieving the purpose of automatically calculating the carbon footprint of the logistics order during the logistics transportation process, thereby realizing the technical effect of improving the calculation efficiency and accuracy of the carbon footprint, and further solving the technical problem of low calculation accuracy in the related art where the information of the logistics order is obtained manually and the carbon footprint during the logistics transportation process is calculated.

[0095] It should be noted that, for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that the present application is not limited by the described action sequence, because according to the present application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to the present application.

[0096] Through the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by means of software plus a necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions for causing a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present application.

[0097] Embodiment 2

[0098] According to an embodiment of the present application, there is also provided a method for calculating the carbon footprint of a logistics order, as Figure 4 shown, the method includes:

[0099] Step S401: Obtain the logistics order data uploaded by the client.

[0100] Step S402: For the logistics order corresponding to the logistics order data in the cloud server, determine the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through the geographic information system; calculate the carbon footprint of the logistics order during the logistics transportation process based on the logistics order data, target transportation path data, target transportation mode data, and target transportation distance data.

[0101] Step S403: Feed back the carbon footprint of the logistics order during the logistics transportation process to the client.

[0102] Through the above solution, after receiving the logistics order data, a better transportation path and transportation mode can be determined for the logistics order through the geographic information system, thereby reducing the transportation distance, effectively reducing the carbon emissions generated during the logistics transportation process. Then, through the logistics order data, target transportation path data, target transportation mode data, and target transportation distance data, the carbon footprint of the logistics order during the logistics transportation process can be automatically calculated, realizing real-time carbon footprint calculation, improving the calculation efficiency and accuracy of the carbon footprint, achieving the purpose of automatically calculating the carbon footprint of the logistics order during the logistics transportation process, thereby realizing the technical effect of improving the calculation efficiency and accuracy of the carbon footprint, and further solving the technical problem of low calculation accuracy in the related technology where the information of the logistics order is obtained manually and the carbon footprint during the logistics transportation process is calculated.

[0103] In the cloud server, the specific method for calculating the carbon footprint of the logistics order is the same as the method in Embodiment 1 and will not be elaborated here.

[0104] It should be noted that for the foregoing method embodiments, for the sake of simple description, they are all expressed as a series of action combinations. However, those skilled in the art should know that this application is not limited by the described action sequence, because according to this application, certain steps can be performed in other sequences or simultaneously. Secondly, those skilled in the art should also know that the embodiments described in the specification are all preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0105] Through the description of the above embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by means of software plus a necessary general hardware platform. Of course, it can also be implemented by hardware, but in many cases, the former is a better implementation method. Based on such an understanding, the technical solution of the present application, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk) and includes several instructions for causing a terminal device (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in various embodiments of the present application.

[0106] Embodiment 3

[0107] According to an embodiment of the present application, there is also provided a carbon footprint calculation device for a logistics order for implementing the above carbon footprint calculation method for a logistics order, as Figure 5 shown. The device includes: a first receiving unit 501, a first determining unit 502, and a first calculating unit 503.

[0108] The first receiving unit 501 is configured to receive logistics order data;

[0109] The first determining unit 502 is configured to, for the logistics order corresponding to the logistics order data, determine the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through a geographic information system;

[0110] The first calculating unit 503 is configured to calculate the carbon footprint of the logistics order during the logistics transportation process based on the logistics order data, target transportation path data, target transportation mode data, and target transportation distance data.

[0111] In the carbon footprint calculation device for logistics orders provided in Embodiment 3 of the present application, the first receiving unit 501 receives logistics order data; for the logistics order corresponding to the logistics order data, the first determination unit 502 determines the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through a geographic information system; the first calculation unit 503 calculates the carbon footprint of the logistics order during the logistics transportation process based on the logistics order data, target transportation path data, target transportation mode data, and target transportation distance data. In this solution, after receiving the logistics order data, a better transportation path and transportation mode can be determined for the logistics order through the geographic information system, thereby reducing the transportation distance and effectively reducing the carbon emissions generated during the logistics transportation process. Then, based on the logistics order data, target transportation path data, target transportation mode data, and target transportation distance data, the carbon footprint of the logistics order during the logistics transportation process can be automatically calculated, realizing real-time carbon footprint calculation and improving the calculation efficiency and accuracy of the carbon footprint.

[0112] Optionally, in the carbon footprint calculation device for logistics orders provided in Embodiment 3 of the present application, the first determination unit includes: a first judgment subunit, configured to judge whether there is specified data in the logistics order data corresponding to the logistics order for the logistics order, and obtain a judgment result, where the specified data is data pre-configured by the user, and the specified data is at least one of the following: specified waypoint data, specified transportation mode data; a first determination subunit, configured to, if the judgment result is that there is specified data, determine the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through the geographic information system based on the specified data; a second determination subunit, configured to, if the judgment result is that there is no specified data, obtain the order start point and order end point corresponding to the logistics order, and determine the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through the geographic information system based on the order start point and order end point.

[0113] Optionally, in the carbon footprint calculation device for logistics orders provided in Embodiment 3 of the present application, the second determination subunit includes: a first acquisition module, configured to acquire target map data, and determine target transportation path data through the geographic information system based on the target map data, order start point, and order end point, where the target transportation path data includes multiple segments of transportation sub-path data; a first composition module, configured to determine the transportation mode data corresponding to the transportation sub-path data according to the target rule, and compose the transportation mode data corresponding to each segment of transportation sub-path data into target transportation mode data; a second composition module, configured to calculate the transportation distance data corresponding to the transportation sub-path data based on the path start point and path end point corresponding to the transportation sub-path data, and compose the transportation distance data corresponding to each segment of transportation sub-path data into target transportation distance data.

[0114] Optionally, in the carbon footprint calculation device for logistics orders provided in Embodiment 3 of the present application, the first acquisition module includes: a first processing sub-module, configured to perform geocoding on the order start point and the order end point respectively according to the target map data through a geographic information system, to obtain the standard longitude and latitude address of the order start point and the standard longitude and latitude address of the order end point; a first determination sub-module, configured to determine multiple transportation path data corresponding to the logistics order according to the standard longitude and latitude address of the order start point and the standard longitude and latitude address of the order end point, and determine the target transportation path data from the multiple transportation path data according to the target rule.

[0115] Optionally, in the carbon footprint calculation device for logistics orders provided in Embodiment 3 of the present application, the first calculation unit includes: a first acquisition sub-unit, configured to acquire the weight of the goods corresponding to the logistics order from the logistics order data; a second acquisition sub-unit, configured to acquire the carbon emission factor corresponding to the transportation mode data for the transportation sub-path data; a first calculation sub-unit, configured to calculate the carbon footprint of the logistics order during the logistics transportation process according to the weight of the goods corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-path data.

[0116] Optionally, in the carbon footprint calculation device for logistics orders provided in Embodiment 3 of the present application, the first calculation sub-unit includes: a first calculation module, configured to calculate the carbon emissions generated by the logistics order during the transportation process corresponding to the transportation sub-path data according to the weight of the goods corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-path data; a second calculation module, configured to perform a summation calculation on the carbon emissions generated by the logistics order during the transportation process corresponding to the transportation sub-path data for multiple segments of transportation sub-path data, to obtain the carbon footprint of the logistics order during the logistics transportation process.

[0117] Optionally, in the carbon footprint calculation device for logistics orders provided in Embodiment 3 of the present application, the device further includes: a first analysis unit, configured to perform carbon emission analysis according to the carbon footprint of the logistics order during the logistics transportation process after calculating the carbon footprint of the logistics order during the logistics transportation process, to obtain a carbon emission analysis result.

[0118] Optionally, in the carbon footprint calculation device for logistics orders provided in Embodiment 3 of the present application, the device further includes: a second analysis unit, configured to, after calculating the carbon footprint of a logistics order during the logistics transportation process, obtain the carbon footprints of multiple logistics platforms within a preset data analysis period according to the preset data analysis period, and perform data analysis based on the carbon footprints of the multiple logistics platforms within the preset data analysis period to obtain an analysis result, where the analysis result at least includes a predicted carbon peak time point, a predicted carbon neutral time point, a target carbon peak route plan, and a target carbon neutral route plan.

[0119] Optionally, in the carbon footprint calculation device for logistics orders provided in Embodiment 3 of the present application, the second analysis unit includes: a first analysis subunit, configured to perform data analysis based on the transportation kilometer data and carbon emission data in the carbon footprints of multiple logistics platforms within a preset data analysis period to obtain a predicted average carbon emission per kilometer of transportation, a predicted total transportation kilometers, and predicted total carbon emission data in the next data analysis period; a second analysis subunit, configured to perform data analysis based on the predicted average carbon emission per kilometer of transportation, the predicted total transportation kilometers, and the predicted total carbon emission data to obtain a predicted carbon peak time point and a predicted carbon neutral time point; a third determination subunit, configured to determine a target carbon peak route plan and a target carbon neutral route plan based on the predicted carbon peak time point and the predicted carbon neutral time point.

[0120] It should be noted here that the above first receiving unit 501, first determining unit 502, and first calculating unit 503 correspond to steps S201 to S203 in Embodiment 1. The above units and the corresponding steps have the same implemented examples and application scenarios, but are not limited to the content disclosed in the above Embodiment 1. It should be noted that the above modules, as part of the device, can run in the computer terminal 10 provided in Embodiment 1.

[0121] It should be noted that the preferred implementation schemes involved in the above embodiments of the present application are the same as the schemes, application scenarios, and implementation processes provided in Embodiment 1, but are not limited to the schemes provided in Embodiment 1.

[0122] Embodiment 4

[0123] An embodiment of the present application can provide a computer terminal, and the computer terminal can be any computer terminal device in a computer terminal group. Optionally, in this embodiment, the above computer terminal can also be replaced with a terminal device such as a mobile terminal.

[0124] Optionally, in this embodiment, the above computer terminal can be located in at least one network device among multiple network devices of a computer network.

[0125] In this embodiment, the above computer terminal can execute the program code for the following steps in the carbon footprint calculation method of a logistics order: receiving logistics order data; for the logistics order corresponding to the logistics order data, determining the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through a geographic information system; and calculating the carbon footprint of the logistics order during the logistics transportation process based on the logistics order data, target transportation path data, target transportation mode data, and target transportation distance data.

[0126] The above computer terminal can also execute the program code for the following steps in the carbon footprint calculation method of a logistics order: for the logistics order corresponding to the logistics order data, determining the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through a geographic information system, including: for the logistics order corresponding to the logistics order data, determining whether there is specified data in the logistics order data corresponding to the logistics order to obtain a judgment result, where the specified data is data pre-configured by the user, and the specified data is at least one of the following: specified waypoint data, specified transportation mode data; if the judgment result is that there is specified data, then determining the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through the geographic information system based on the specified data; if the judgment result is that there is no specified data, then obtaining the order start point and order end point corresponding to the logistics order, and determining the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through the geographic information system based on the order start point and order end point.

[0127] The above computer terminal can also execute the program code for the following steps in the carbon footprint calculation method of a logistics order: determining the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through the geographic information system based on the order start point and order end point, including: obtaining target map data, and determining the target transportation path data through the geographic information system based on the target map data, order start point, and order end point, where the target transportation path data includes multiple segments of transportation sub-path data; determining the transportation mode data corresponding to the transportation sub-path data according to the target rules, and forming the target transportation mode data by combining the transportation mode data corresponding to each segment of transportation sub-path data; calculating the transportation distance data corresponding to the transportation sub-path data based on the path start point and path end point of the transportation sub-path data, and forming the target transportation distance data by combining the transportation distance data corresponding to each segment of transportation sub-path data.

[0128] The above computer terminal can also execute the program code for the following steps in the carbon footprint calculation method of a logistics order: Determine the target transportation path data through a geographic information system based on the target map data, the order start point, and the order end point, including: Geocode the order start point and the order end point respectively through the geographic information system based on the target map data to obtain the standard latitude and longitude address of the order start point and the standard latitude and longitude address of the order end point; Determine multiple transportation path data corresponding to the logistics order based on the standard latitude and longitude address of the order start point and the standard latitude and longitude address of the order end point, and determine the target transportation path data from the multiple transportation path data according to the target rules.

[0129] The above computer terminal can also execute the program code for the following steps in the carbon footprint calculation method of a logistics order: Calculate the carbon footprint of the logistics order during the logistics transportation process based on the logistics order data, the target transportation path data, the target transportation mode data, and the target transportation distance data, including: Obtain the weight of the goods corresponding to the logistics order from the logistics order data; For the transportation mode data corresponding to the transportation sub-path data, obtain the carbon emission factor corresponding to the transportation mode data; Calculate the carbon footprint of the logistics order during the logistics transportation process based on the weight of the goods corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-path data.

[0130] The above computer terminal can also execute the program code for the following steps in the carbon footprint calculation method of a logistics order: Calculate the carbon footprint of the logistics order during the logistics transportation process based on the weight of the goods corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-path data, including: Calculate the carbon emissions generated by the logistics order during the transportation process corresponding to the transportation sub-path data based on the weight of the goods corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-path data; For multiple segments of transportation sub-path data, sum up the carbon emissions generated by the logistics order during the transportation process corresponding to the transportation sub-path data to obtain the carbon footprint of the logistics order during the logistics transportation process.

[0131] The above computer terminal can also execute the program code for the following steps in the carbon footprint calculation method of a logistics order: After calculating the carbon footprint of the logistics order during the logistics transportation process, conduct carbon emission analysis based on the carbon footprint of the logistics order during the logistics transportation process to obtain the carbon emission analysis result.

[0132] The above computer terminal can also execute the program code of the following steps in the carbon footprint calculation method for logistics orders: after calculating the carbon footprint of a logistics order during the logistics transportation process, obtain the carbon footprints of multiple logistics platforms within a preset data analysis period according to the preset data analysis period, and perform data analysis based on the carbon footprints of the multiple logistics platforms within the preset data analysis period to obtain an analysis result, where the analysis result at least includes a predicted carbon peak time point, a predicted carbon neutral time point, a target carbon peak route plan, and a target carbon neutral route plan.

[0133] The above computer terminal can also execute the program code of the following steps in the carbon footprint calculation method for logistics orders: perform data analysis based on the carbon footprints of multiple logistics platforms within a preset data analysis period to obtain an analysis result, including: perform data analysis based on the transportation kilometer data and carbon emission data in the carbon footprints of multiple logistics platforms within the preset data analysis period to obtain the predicted average carbon emission per kilometer of transportation, the predicted total transportation kilometers, and the predicted total carbon emission data in the next data analysis period; perform data analysis based on the predicted average carbon emission per kilometer of transportation, the predicted total transportation kilometers, and the predicted total carbon emission data to obtain the predicted carbon peak time point and the predicted carbon neutral time point; determine the target carbon peak route plan and the target carbon neutral route plan based on the predicted carbon peak time point and the predicted carbon neutral time point.

[0134] Optionally, Figure 6 is a structural block diagram of a computer terminal according to an embodiment of the present application. As Figure 6 shown, the computer terminal 10 may include: one or more ( Figure 6 only one is shown in the figure) processors 102, a memory 104. The computer terminal 10 may further include a storage controller for controlling and managing the memory 104; the computer terminal 10 may further include a peripheral interface for connecting a radio frequency module, an audio module, a display screen, etc.

[0135] Among them, the memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the carbon footprint calculation method and device for logistics orders in the embodiments of the present application. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, that is, implements the above carbon footprint calculation method for logistics orders. The memory may include a high-speed random access memory, and may further include a non-volatile memory, such as one or more magnetic storage devices, flash memories, or other non-volatile solid-state memories. In some instances, the memory may further include a memory remotely set relative to the processor, and these remote memories can be connected to the terminal 10 through a network. Examples of the above network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.

[0136] The processor can call the information and application programs stored in the memory through a transmission device to execute the following steps: receiving logistics order data; for the logistics order corresponding to the logistics order data, determining the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through a geographic information system; calculating the carbon footprint of the logistics order during the logistics transportation process based on the logistics order data, target transportation path data, target transportation mode data, and target transportation distance data.

[0137] Optionally, the above-mentioned processor can also execute the program code of the following steps: for the logistics order corresponding to the logistics order data, determining the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through a geographic information system, including: for the logistics order corresponding to the logistics order data, determining whether there is specified data in the logistics order data corresponding to the logistics order to obtain a judgment result, where the specified data is data pre-configured by the user, and the specified data is at least one of the following: specified waypoint data, specified transportation mode data; if the judgment result is that there is specified data, then determining the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through the geographic information system based on the specified data; if the judgment result is that there is no specified data, then obtaining the order start point and order end point corresponding to the logistics order, and determining the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through the geographic information system based on the order start point and order end point.

[0138] Optionally, the above-mentioned processor can also execute the program code of the following steps: determining the target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through the geographic information system based on the order start point and order end point, including: obtaining target map data, and determining the target transportation path data through the geographic information system based on the target map data, order start point, and order end point, where the target transportation path data includes multiple segments of transportation sub-path data; determining the transportation mode data corresponding to the transportation sub-path data according to the target rules, and forming the target transportation mode data by combining the transportation mode data corresponding to each segment of the transportation sub-path data; calculating the transportation distance data corresponding to the transportation sub-path data based on the path start point and path end point of the transportation sub-path data, and forming the target transportation distance data by combining the transportation distance data corresponding to each segment of the transportation sub-path data.

[0139] Optionally, the above-mentioned processor can also execute the program code of the following steps: determine the target transportation path data through the geographic information system based on the target map data, the order start point, and the order end point, including: geocode the order start point and the order end point respectively through the geographic information system based on the target map data to obtain the standard latitude and longitude address of the order start point and the standard latitude and longitude address of the order end point; determine multiple transportation path data corresponding to the logistics order based on the standard latitude and longitude address of the order start point and the standard latitude and longitude address of the order end point, and determine the target transportation path data from the multiple transportation path data according to the target rules.

[0140] Optionally, the above-mentioned processor can also execute the program code of the following steps: calculate the carbon footprint of the logistics order during the logistics transportation process based on the logistics order data, the target transportation path data, the target transportation mode data, and the target transportation distance data, including: obtain the cargo weight corresponding to the logistics order from the logistics order data; for the transportation mode data corresponding to the transportation sub-path data, obtain the carbon emission factor corresponding to the transportation mode data; calculate the carbon footprint of the logistics order during the logistics transportation process based on the cargo weight corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-path data.

[0141] Optionally, the above-mentioned processor can also execute the program code of the following steps: calculate the carbon footprint of the logistics order during the logistics transportation process based on the cargo weight corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-path data, including: calculate the carbon emissions generated by the logistics order during the transportation process corresponding to the transportation sub-path data based on the cargo weight corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-path data; for multiple segments of transportation sub-path data, sum up the carbon emissions generated by the logistics order during the transportation process corresponding to the transportation sub-path data to obtain the carbon footprint of the logistics order during the logistics transportation process.

[0142] Optionally, the above-mentioned processor can also execute the program code of the following steps: after calculating the carbon footprint of the logistics order during the logistics transportation process, perform carbon emission analysis based on the carbon footprint of the logistics order during the logistics transportation process to obtain the carbon emission analysis result.

[0143] Optionally, the above-mentioned processor may also execute the program code of the following steps: after calculating the carbon footprint of the logistics order during the logistics transportation process, obtain the carbon footprints of multiple logistics platforms within the preset data analysis period according to the preset data analysis period, and perform data analysis based on the carbon footprints of multiple logistics platforms within the preset data analysis period to obtain an analysis result, where the analysis result at least includes the predicted carbon peak time point, the predicted carbon neutral time point, the target carbon peak route plan, and the target carbon neutral route plan.

[0144] Optionally, the above-mentioned processor may also execute the program code of the following steps: perform data analysis based on the carbon footprints of multiple logistics platforms within the preset data analysis period to obtain an analysis result, including: performing data analysis based on the transportation kilometer data and carbon emission data in the carbon footprints of multiple logistics platforms within the preset data analysis period to obtain the predicted average carbon emission per kilometer of transportation, the predicted total transportation kilometers, and the predicted total carbon emission data in the next data analysis period; performing data analysis based on the predicted average carbon emission per kilometer of transportation, the predicted total transportation kilometers, and the predicted total carbon emission data to obtain the predicted carbon peak time point and the predicted carbon neutral time point; determining the target carbon peak route plan and the target carbon neutral route plan based on the predicted carbon peak time point and the predicted carbon neutral time point.

[0145] Those of ordinary skill in the art can understand that Figure 6 the structure shown is only schematic, and the computer terminal can also be a smart phone (such as an Android phone, an iOS phone, etc.), a tablet computer, a palm computer, and terminal devices such as Mobile Internet Devices (MID), PAD, etc. Figure 6 It does not limit the structure of the above-mentioned electronic device. For example, the computer terminal 10 may further include more or fewer components (such as a network interface, a display device, etc.) than those shown in Figure 6 or have a different configuration from that shown in Figure 6 shown.

[0146] Those of ordinary skill in the art can understand that all or part of the steps in the various methods of the above embodiments can be completed by instructing the relevant hardware of the terminal device through a program, and the program can be stored in a computer-readable storage medium, and the storage medium may include: a flash drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disc, etc.

[0147] Embodiment 5

[0148] Embodiments of the present application also provide a computer-readable storage medium. Optionally, in this embodiment, the above storage medium can be used to store the program code executed by the carbon footprint calculation method for logistics orders provided in the first embodiment above.

[0149] Optionally, in this embodiment, the above storage medium can be located in any one of the computer terminals in the computer terminal group in the computer network, or in any one of the mobile terminals in the mobile terminal group.

[0150] The serial numbers of the embodiments of the present application are only for description and do not represent the advantages or disadvantages of the embodiments.

[0151] In the above embodiments of the present application, the descriptions of the various embodiments have their own emphases. For the parts not detailed in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0152] In the several embodiments provided by the present application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the displayed or discussed coupling or direct coupling or communication connection between each other can be through some interfaces. The indirect coupling or communication connection of the units or modules can be in an electrical or other form.

[0153] The units described as separate components may or may not be physically separated. The components displayed as units may or may not be physical units, that is, they can be located in one place, or distributed to multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0154] In addition, the functional units in the various embodiments of the present application can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0155] When the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of this technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the methods described in various embodiments of this application. The foregoing storage medium includes: various media that can store program codes, such as USB flash drives, read-only memories (ROMs), random access memories (RAMs), mobile hard disks, magnetic disks, or optical discs.

[0156] The foregoing are only the preferred embodiments of this application. It should be noted that for those of ordinary skill in the art, without departing from the principle of this application, several improvements and refinements can still be made, and these improvements and refinements should also be regarded as the protection scope of this application.

Claims

1. A method for calculating the carbon footprint of a logistics order, characterized in that: include: Receive logistics order data; For the logistics order corresponding to the logistics order data, determining the target transportation path data, the target transportation mode data and the target transportation distance data corresponding to the logistics order through a geographic information system; The carbon footprint of the logistics order during the logistics transportation process is calculated based on the logistics order data, the target transportation route data, the target transportation mode data and the target transportation distance data.

2. The method according to claim 1, characterized in that For the logistics order corresponding to the logistics order data, the target transportation path data, the target transportation mode data and the target transportation distance data corresponding to the logistics order are determined by the geographic information system, including: For the logistics order corresponding to the logistics order data, determining whether specified data exists in the logistics order data corresponding to the logistics order, and obtaining a determination result, wherein the specified data is data pre-configured by a user, and the specified data is at least one of the following: specified waypoint data, specified transportation mode data; If the judgment result is that the specified data exists, the target transportation path data, the target transportation mode data and the target transportation distance data corresponding to the logistics order are determined by the geographic information system according to the specified data; If the judgment result is that the specified data does not exist, the order starting point and the order end point corresponding to the logistics order are obtained, and the target transportation path data, the target transportation method data and the target transportation distance data corresponding to the logistics order are determined through the geographic information system based on the order starting point and the order end point.

3. The method according to claim 2, characterized in that Determining the target transportation path data, the target transportation mode data and the target transportation distance data corresponding to the logistics order through the geographic information system according to the order starting point and the order end point, including: Acquire target map data, and determine the target transportation path data through the geographic information system according to the target map data, the order starting point and the order end point, wherein the target transportation path data includes multiple sections of transportation sub-path data; Determine the transport mode data corresponding to the transport sub-path data according to the target rule, and form the target transport mode data from the transport mode data corresponding to each segment of the transport sub-path data; According to the path starting point and path end point corresponding to the transport sub-path data, the transport distance data corresponding to the transport sub-path data is calculated, and the transport distance data corresponding to each segment of the transport sub-path data is combined into the target transport distance data.

4. The method according to claim 3, characterized in that Determining the target transportation route data by the geographic information system according to the target map data, the order starting point and the order end point includes: The geographic information system performs geocoding on the order start point and the order end point according to the target map data to obtain the standard longitude and latitude address of the order start point and the standard longitude and latitude address of the order end point; Based on the standard longitude and latitude address of the order starting point and the standard longitude and latitude address of the order end point, multiple transportation path data corresponding to the logistics order are determined, and the target transportation path data is determined from the multiple transportation path data based on the target rule.

5. The method according to claim 3, characterized in that: The carbon footprint of the logistics order during the logistics transportation process is calculated based on the logistics order data, the target transportation route data, the target transportation mode data, and the target transportation distance data, including: Obtaining the cargo weight corresponding to the logistics order from the logistics order data; For the transport mode data corresponding to the transport sub-path data, obtaining the carbon emission factor corresponding to the transport mode data; The carbon footprint of the logistics order during the logistics transportation process is calculated based on the cargo weight corresponding to the logistics order, the carbon emission factor corresponding to the transportation mode data, and the transportation distance data corresponding to the transportation sub-path data.

6. The method according to claim 1, characterized in that After calculating the carbon footprint of the logistics order during the logistics transportation process, the method further includes: A carbon emission analysis is performed based on the carbon footprint of the logistics order during the logistics transportation process to obtain a carbon emission analysis result.

7. The method according to claim 1, characterized in that After calculating the carbon footprint of the logistics order during the logistics transportation process, the method further includes: According to a preset data analysis cycle, the carbon footprints of multiple logistics platforms within the preset data analysis cycle are obtained, and data analysis is performed based on the carbon footprints of the multiple logistics platforms within the preset data analysis cycle to obtain analysis results, wherein the analysis results at least include predicted carbon peak time point, predicted carbon neutrality time point, target carbon peak route plan, and target carbon neutrality route plan.

8. The method according to claim 7, characterized in that Performing data analysis based on the carbon footprints of the multiple logistics platforms within the preset data analysis period to obtain analysis results, including: Performing data analysis based on the transport kilometer data and carbon emission data in the carbon footprint of the multiple logistics platforms in the preset data analysis cycle to obtain the predicted average carbon emissions per kilometer of transport, the predicted total transport kilometers, and the predicted total carbon emission data in the next data analysis cycle; Perform data analysis based on the predicted average carbon emissions per kilometer of transportation, the predicted total transportation kilometers, and the predicted total carbon emissions data to obtain the predicted carbon peak time point and the predicted carbon neutrality time point; Based on the predicted carbon peak time point and the predicted carbon neutrality time point, the target carbon peak route plan and the target carbon neutrality route plan are determined.

9. A method for calculating the carbon footprint of a logistics order, characterized in that: include: Get the logistics order data uploaded by the client; In the cloud server, for the logistics order corresponding to the logistics order data, the target transportation path data, the target transportation mode data and the target transportation distance data corresponding to the logistics order are determined through a geographic information system; Calculate the carbon footprint of the logistics order during the logistics transportation process based on the logistics order data, the target transportation route data, the target transportation mode data, and the target transportation distance data; The carbon footprint of the logistics order during the logistics transportation process is fed back to the client.

10. A device for calculating the carbon footprint of a logistics order, characterized in that: include: A first receiving unit, used for receiving logistics order data; A first determining unit is used to determine, for a logistics order corresponding to the logistics order data, target transportation path data, target transportation mode data, and target transportation distance data corresponding to the logistics order through a geographic information system; The first calculation unit is used to calculate the carbon footprint of the logistics order during the logistics transportation process based on the logistics order data, the target transportation path data, the target transportation method data and the target transportation distance data.

11. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed, the device where the storage medium is located is controlled to execute the carbon footprint calculation method for a logistics order as described in any one of claims 1 to 9.

12. An electronic device, characterized in that: include: A memory storing an executable program; A processor is used to run the program, wherein the program, when running, executes the carbon footprint calculation method for a logistics order as described in any one of claims 1 to 9.

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