Method and apparatus for determining carbon emission information of item in order, device, readable storage medium and program product

Abstract

The present disclosure provides a method and apparatus for determining carbon emission information of an item in an order, a device, a readable storage medium and a program product, and relates to the fields of Internet, smart supply chains and smart logistics. The method comprises: in response to acquiring an item order, determining target warehousing data of a target item in a logistics process on the basis of the item order; and, on the basis of the target warehousing data and warehouse carbon emission information related to a target warehouse, performing warehousing carbon emission analysis on the target item to obtain item warehousing carbon emission information of the target item.

Description

Methods, apparatus, devices, readable storage media, and programs for determining carbon emission information of items in an order.

[0001] This application claims priority to Chinese Patent Application No. 202410921380.6, filed on July 10, 2024, the contents of which are incorporated herein by reference. Technical Field

[0002] This disclosure relates to the Internet, smart supply chain and smart logistics fields, and more specifically, to a method, apparatus, device, readable storage medium and program product for determining carbon emission information of items in an order. Background Technology

[0003] Carbon emissions can be a general term or abbreviation for greenhouse gas emissions. Since the most important greenhouse gas is carbon dioxide, the word carbon is used to represent it.

[0004] In realizing the present invention, the inventors discovered at least the following problems in the related technology: With the implementation of relevant carbon emission standards and the increasing public demand for carbon emission reduction, optimizing the carbon emissions generated during the production and sale of goods has gradually become an important part of achieving carbon emission reduction targets. However, the statistical methods for carbon emission information during the production and sale of goods are difficult to accurately represent the actual situation, making it difficult to accurately optimize the overall carbon emissions. Summary of the Invention

[0005] In view of this, this disclosure provides a method, apparatus, device, readable storage medium, and program product for determining carbon emission information of items in an order.

[0006] One aspect of this disclosure provides a method for determining carbon emission information of items in an order, comprising: in response to obtaining an item order, determining target warehousing data of the target item in the logistics process based on the item order; and performing warehousing carbon emission analysis on the target item based on the target warehousing data and warehouse carbon emission information related to the target warehouse to obtain item warehousing carbon emission information of the target item.

[0007] According to embodiments of this disclosure, determining the target warehousing data of the target item in the logistics process based on the aforementioned item order includes: determining the waybill information of the target item based on the aforementioned item order; and determining the target warehousing data of the target item at at least one warehousing node in the aforementioned logistics process based on the aforementioned waybill information.

[0008] According to embodiments of this disclosure, determining the target warehousing data of the target item at at least one warehousing node in the logistics process based on the aforementioned waybill information includes: determining, based on the aforementioned waybill information, logistics type fields related to each of the plurality of warehousing nodes in the logistics process, wherein the plurality of logistics type fields include a comparison type field, the comparison type field indicating that the target item is not stored in a warehouse at a comparison node, and the comparison node is associated with the comparison type field; and determining the target warehousing data of the target warehousing node from the warehousing data of the plurality of warehousing nodes based on the comparison type field, wherein the target item is stored in the target warehouse of the target warehousing node in the logistics process.

[0009] According to embodiments of this disclosure, the comparison type field includes at least one of the following: tractor type field and container type field.

[0010] According to embodiments of this disclosure, the target warehousing data includes target warehousing time periods and target item occupancy attributes, wherein the target item occupancy attributes characterize the warehousing resources occupied by the target items stored in the target warehouse; wherein, the warehousing carbon emission analysis of the target items based on the target warehousing data and warehouse carbon emission information related to the target warehouse includes: determining the time period warehouse carbon emission information of the target warehouse during the target warehousing time period based on the target warehousing time periods and the warehouse carbon emission information; and determining the item warehousing carbon emission information of the target items stored in the target warehouse based on the target item occupancy attributes and the time period warehouse carbon emission information.

[0011] According to embodiments of this disclosure, the aforementioned target item occupancy attributes include at least one of the following: target item weight, target item volume, and target item floor area.

[0012] According to embodiments of this disclosure, the aforementioned warehouse carbon emission information is determined based on the following operation: the warehouse carbon emission information of the aforementioned target warehouse is determined based on the resource consumption amount corresponding to the resource consumption type of the aforementioned target warehouse.

[0013] According to embodiments of this disclosure, the method further includes: updating the resource consumption type of the target warehouse in response to an interactive operation on the resource consumption type element, thereby obtaining the updated resource consumption type.

[0014] According to embodiments of this disclosure, the above-mentioned resource consumption types include at least one of the following: electricity resource consumption type, fossil energy consumption type, refrigerant consumption type, and fire-fighting equipment consumption type.

[0015] According to embodiments of this disclosure, the above-mentioned power resource consumption type further includes a clean energy consumption subtype. Determining the warehouse carbon emission information of the target warehouse based on the resource consumption amount corresponding to the resource consumption type of the target warehouse includes: determining the warehouse carbon emission reduction amount of the target warehouse based on the clean energy consumption amount corresponding to the clean energy subtype. The warehouse carbon emission information includes the warehouse carbon emission reduction amount.

[0016] According to embodiments of this disclosure, the method further includes: displaying the carbon emission information of the goods storage in an interactive interface; and / or displaying the carbon emission trajectory of the goods order generated based on the carbon emission information of the goods storage in the interactive interface.

[0017] Another aspect of this disclosure provides an apparatus for determining carbon emission information of items in an order, comprising: a target warehouse data acquisition module, configured to determine target warehouse data of the target items in the logistics process based on the item order in response to acquiring an item order; and an item warehouse carbon emission information acquisition module, configured to perform warehouse carbon emission analysis on the target items based on the target warehouse data and warehouse carbon emission information related to the target warehouse, to obtain item warehouse carbon emission information of the target items.

[0018] Another aspect of this disclosure provides an electronic device comprising: one or more processors; and a memory for storing one or more programs, wherein, when the one or more programs are executed by the one or more processors, the one or more processors cause the one or more processors to perform the method as described above.

[0019] Another aspect of this disclosure provides a computer-readable storage medium storing computer-executable instructions that, when executed, are used to implement the method described above.

[0020] Another aspect of this disclosure provides a computer program product including computer-executable instructions that, when executed, are used to implement the method described above. Attached Figure Description

[0021] The above and other objects, features and advantages of this disclosure will become clearer from the following description of embodiments with reference to the accompanying drawings, in which:

[0022] Figure 1 schematically illustrates an exemplary system architecture of a method and apparatus applicable to determining carbon emission information of items in an order, according to embodiments of the present disclosure;

[0023] Figure 2 schematically illustrates a flowchart of a method for determining carbon emission information of items in an order according to an embodiment of the present disclosure;

[0024] Figure 3 schematically illustrates a flowchart of a process for analyzing the carbon emissions of a target item based on target storage data and warehouse carbon emission information related to the target warehouse, according to an embodiment of the present disclosure.

[0025] Figure 4 schematically illustrates a warehouse carbon emission management interface according to an embodiment of the present disclosure;

[0026] Figure 5 schematically illustrates a diagram of an order carbon footprint display interface according to an embodiment of the present disclosure;

[0027] Figure 6 schematically illustrates a block diagram of an apparatus for determining carbon emission information of items in an order according to an embodiment of the present disclosure; and

[0028] Figure 7 schematically illustrates a block diagram of an electronic device suitable for implementing a method for determining carbon emission information of items in an order, according to an embodiment of the present disclosure. Detailed Implementation

[0029] The embodiments of the present disclosure will now be described with reference to the accompanying drawings. However, it should be understood that these descriptions are exemplary only and are not intended to limit the scope of the disclosure. In the following detailed description, numerous specific details are set forth to provide a thorough understanding of the embodiments of the present disclosure for ease of explanation. However, it will be apparent that one or more embodiments may be practiced without these specific details. Furthermore, descriptions of well-known structures and techniques are omitted in the following description to avoid unnecessarily obscuring the concepts of the present disclosure.

[0030] The terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit this disclosure. The terms “comprising,” “including,” etc., as used herein indicate the presence of the stated features, steps, operations, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, or components.

[0031] All terms used herein (including technical and scientific terms) have the meanings commonly understood by those skilled in the art, unless otherwise defined. It should be noted that the terms used herein are to be interpreted in a manner consistent with the context of this specification, and not in an idealized or overly rigid way.

[0032] When using expressions such as "at least one of A, B and C", they should generally be interpreted in accordance with the meaning that is commonly understood by those skilled in the art (e.g., "a system having at least one of A, B and C" should include, but is not limited to, a system having A alone, a system having B alone, a system having C alone, a system having A and B, a system having A and C, a system having B and C, and / or a system having A, B and C, etc.).

[0033] In the embodiments disclosed herein, the collection, updating, analysis, processing, use, transmission, provision, disclosure, and storage of data (e.g., including but not limited to user personal information) comply with relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. In particular, necessary measures have been taken to prevent unauthorized access to user personal information data and to safeguard user personal information security, network security, and national security.

[0034] In the embodiments disclosed herein, user authorization or consent is obtained before acquiring or collecting user personal information.

[0035] The inventors discovered that the accuracy of carbon emission information calculation for goods in the overall logistics process is low, and it is still difficult to accurately characterize the impact of the logistics process on carbon emissions, which can lead to a negative effect on the optimization of overall carbon emissions.

[0036] Embodiments of this disclosure provide a method, apparatus, device, readable storage medium, and program product for determining carbon emission information of items in an order. The method for determining carbon emission information of items in an order includes: in response to obtaining an item order, determining target warehousing data of the target item during the logistics process based on the item order; and performing warehousing carbon emission analysis on the target item based on the target warehousing data and warehouse carbon emission information related to the target warehouse to obtain item warehousing carbon emission information.

[0037] According to embodiments of this disclosure, by determining the target warehousing data generated during the logistics process based on the goods order, and then performing carbon emission analysis on the warehousing stage of the target goods in the logistics process based on the target warehousing data and the warehouse carbon emission information of the target warehouse, the carbon emission situation of the warehousing nodes that are easily overlooked in the logistics process can be tracked more accurately. This allows the warehousing carbon emission information of the goods to more accurately represent the carbon emission situation of the target goods in the entire logistics process, enabling fine-grained analysis of the carbon emission situation of the logistics process of the goods in the order, improving the accuracy and detail of carbon emission detection for the overall logistics process, and enabling more refined optimization of carbon emission methods, which helps to reduce the amount of carbon emissions in logistics operations.

[0038] Figure 1 schematically illustrates an exemplary system architecture for methods and apparatus applicable to determining carbon emission information of items in an order, according to embodiments of the present disclosure. It should be noted that Figure 1 is merely an example of a system architecture applicable to embodiments of the present disclosure, intended to help those skilled in the art understand the technical content of the disclosure, and does not imply that embodiments of the present disclosure cannot be used in other devices, systems, environments, or scenarios.

[0039] As shown in Figure 1, the system architecture 100 according to this embodiment may include a first terminal device 101, a second terminal device 102, a third terminal device 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the first terminal device 101, the second terminal device 102, the third terminal device 103, and the server 105. The network 104 may include various connection types, such as wired and / or wireless communication links, etc.

[0040] Users can use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 via the network 104 to receive or send messages, etc. Various communication client applications can be installed on the first terminal device 101, the second terminal device 102, and the third terminal device 103, such as shopping applications, web browser applications, search applications, instant messaging tools, email clients, and / or social media platform software, etc. (for example only).

[0041] The first terminal device 101, the second terminal device 102, and the third terminal device 103 can be various electronic devices with displays and support web browsing, including but not limited to smartphones, tablets, laptops, and desktop computers.

[0042] Server 105 can be a server that provides various services, such as a backend management server that supports websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103 (this is just an example). The backend management server can analyze and process data such as received user requests, and feed back the processing results (such as web pages, information, or data obtained or generated according to user requests) to the terminal devices.

[0043] It should be noted that the method for determining the carbon emission information of items in an order provided in this disclosure embodiment can generally be executed by server 105. Correspondingly, the apparatus for determining the carbon emission information of items in an order provided in this disclosure embodiment can generally be located in server 105. The method for determining the carbon emission information of items in an order provided in this disclosure embodiment can also be executed by a server or server cluster that is different from server 105 and capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and / or server 105. Correspondingly, the apparatus for determining the carbon emission information of items in an order provided in this disclosure embodiment can also be located in a server or server cluster that is different from server 105 and capable of communicating with the first terminal device 101, the second terminal device 102, the third terminal device 103, and / or server 105. Alternatively, the method for determining carbon emission information of items in an order provided in this disclosure embodiment can also be executed by the first terminal device 101, the second terminal device 102, or the third terminal device 103, or by other terminal devices different from the first terminal device 101, the second terminal device 102, or the third terminal device 103. Correspondingly, the apparatus for determining carbon emission information of items in an order provided in this disclosure embodiment can also be disposed in the first terminal device 101, the second terminal device 102, or the third terminal device 103, or in other terminal devices different from the first terminal device 101, the second terminal device 102, or the third terminal device 103.

[0044] It should be understood that the number of terminal devices, networks, and servers shown in Figure 1 is merely illustrative. Depending on implementation needs, any number of terminal devices, networks, and servers can be included.

[0045] Figure 2 schematically illustrates a flowchart of a method for determining carbon emission information of items in an order according to an embodiment of the present disclosure.

[0046] As shown in Figure 2, the method for determining the carbon emission information of items in an order includes operations S210 to S220.

[0047] In operation S210, in response to obtaining an item order, the target warehouse data of the target item in the logistics process is determined based on the item order; and

[0048] In operation S220, based on the target storage data and the warehouse carbon emission information related to the target warehouse, a storage carbon emission analysis is performed on the target item to obtain the item storage carbon emission information.

[0049] According to an embodiment of the present disclosure, an item order may include a logistics order characterizing the logistics process of a target item. However, it is not limited thereto, and may also include a transaction order for purchasing the target item. The embodiments of the present disclosure do not limit the specific type of the item order.

[0050] According to an embodiment of the present disclosure, an item order may include logistics information generated during the logistics process of the target item, such as a transportation route, a type of transportation vehicle, a storage period in a transit warehouse, and so on. The target warehousing data may characterize data related to the warehousing link (or warehousing node) of the target item during the logistics process. For example, it may include data related to the target warehouse storing the target item, such as the location of the target warehouse, the storage area of the item, the power consumption situation, and so on. For another example, it may also include the inbound time and outbound time of the target item, and so on.

[0051] According to an embodiment of the present disclosure, the warehouse carbon emission information of the target warehouse may characterize information such as the carbon emission amount and carbon emission reduction amount generated during the operation of the target warehouse. The warehouse carbon emission information may be determined based on the resource consumption situation of the target warehouse. For example, the warehouse carbon emission amount may be determined based on the diesel carbon emission factor and the diesel consumption amount. The embodiments of the present disclosure do not limit the specific manner of determining the warehouse carbon emission information, and those skilled in the art may select according to actual needs.

[0052] According to an embodiment of the present disclosure, for the warehousing carbon emission analysis of the target item based on the target warehousing data and the warehouse carbon emission information, the attributes of the target item characterized by the target warehousing data (such as the size, weight, item type, and other attributes of the target item), and the associated information between the target item and the target warehouse characterized by the target warehousing data (such as the storage duration, storage location, storage temperature condition, etc. of the target item stored in the target warehouse) may be used to analyze the carbon emission information generated by the target item during storage in the target warehouse, so as to realize a fine-grained carbon emission situation analysis of the logistics process of the target item, and make the obtained item warehousing carbon emission information more accurately characterize the carbon emission information generated during the warehousing link of the logistics process of the target item. Thus, the item warehousing carbon emission information may be used to more accurately characterize the carbon emission situation of the item during the entire cycle of the item order, improving the accuracy of carbon emission accounting.

[0053] According to an embodiment of the present disclosure, the item warehousing carbon emission information of the target item may include the carbon emission information generated by the target item in one or more target warehouses during the logistics process. However, it is not limited thereto, and may also include the aggregation result of the carbon emission information generated by the target item in each target warehouse during the logistics process. The embodiments of the present disclosure do not limit the specific type of the item warehousing carbon emission information, as long as it can characterize the carbon emission situation of the target item during the warehousing link.

[0054] According to embodiments of this disclosure, determining the target warehousing data of a target item in the logistics process based on an item order may include: determining the waybill information of the target item based on the item order; and determining the target warehousing data of at least one warehousing node of the target item in the logistics process based on the waybill information.

[0055] According to embodiments of this disclosure, waybill information may include data generated during the logistics process of the target item, such as the type of logistics vehicle and mileage, and may also include the storage time of the target item in various transit warehouses and destination warehouses, etc. Waybill information may also include data related to the item attributes of the target item, such as the size, weight, and storage conditions of the target item.

[0056] According to embodiments of this disclosure, by determining the waybill information of the target item from the item order, the target warehousing data generated during the warehouse storage of the target item in the logistics process can be obtained more accurately based on the waybill information, thereby improving the accuracy and refinement of the obtained target warehousing data and enhancing the fine-grained analysis of the overall logistics process of the target item.

[0057] According to embodiments of this disclosure, determining the target warehousing data for a warehousing node based on waybill information allows for a more refined representation of the storage status of goods at the warehousing node. This facilitates fine-grained warehousing carbon emission analysis of one or more warehousing nodes in the logistics process, thereby improving the accuracy of the analysis of goods warehouse carbon emission information and the precision of the calculation of warehousing carbon emission information.

[0058] According to embodiments of this disclosure, determining the target warehousing data of at least one warehousing node in the logistics process based on waybill information may include: determining the logistics type fields related to each of the multiple warehousing nodes in the logistics process based on waybill information; and determining the target warehousing data of the target warehousing node from the warehousing data of the multiple warehousing nodes based on the comparison type fields.

[0059] According to embodiments of this disclosure, the target item is stored in the target warehouse of the target warehousing node during the logistics process.

[0060] According to embodiments of this disclosure, a comparison type field may be included among multiple logistics type fields. The comparison type field indicates that the target item is not stored in a warehouse at a comparison node, and the comparison node is associated with the comparison type field.

[0061] It should be noted that the logistics process may include multiple warehousing nodes, and the comparison node among these nodes can be a transit node where the target item is not actually stored in a warehouse. For example, the target item may enter the warehouse area at the comparison node, but it may not actually be stored in the warehouse.

[0062] According to embodiments of this disclosure, the waybill information represents both the storage node and temporary storage node of the target item during the logistics process as a warehousing node. For example, the waybill information generates a logistics type node field for warehousing node A. This logistics type field may include a node location field, a logistics storage method field, a storage duration field, a transportation vehicle type field entering the node, a transportation vehicle type field leaving the node, and so on. A comparison type field can be determined from the logistics type field based on preset rules, thereby conveniently and accurately identifying whether the target item has been stored at this warehousing node. Furthermore, by identifying cases where the target item has not been stored at the comparison node, abnormal nodes in the warehousing node that are unrelated to the carbon emissions of the target item can be identified, thus avoiding the calculation of warehousing carbon emissions generated by the target item at the comparison node. Therefore, by accurately determining the target warehousing data, the true carbon emissions of the target item's logistics process can be accurately characterized, improving the accuracy of the calculation of carbon emissions information for the overall logistics process of the target item.

[0063] According to embodiments of this disclosure, the comparison type field may include at least one of the following: a tractor type field and a container type field.

[0064] According to embodiments of this disclosure, the tractor type field can characterize the transport vehicle entering the comparison node as a field that characterizes a transport vehicle with towing and carrying capacity. For example, it can be a field that characterizes the vehicle type, vehicle model, and other vehicle attributes of the tractor (or trailer).

[0065] In one example, the tractor type field can include the vehicle attribute fields of two different tractors, which can indicate that the comparison node is a temporary storage node for changing tractors. The target item is not stored in the warehouse of the comparison node. Therefore, the storage carbon emission information of the target item at this comparison node can be omitted to reduce the error of the storage carbon emission information and improve the accuracy of carbon emission information analysis.

[0066] According to embodiments of this disclosure, the container type field can indicate that the transport method of the target item entering and / or leaving the comparison node is container transport. The container type field can be, for example, a field indicating container attributes such as the container's model and serial number, or it can also include a field indicating the logistics method of the container entering or leaving the comparison node.

[0067] According to embodiments of this disclosure, the target item can be transported by storing it in a container. If the target storage data at the storage node includes a container field, it can be presumed that the target item has not been removed from the container at the storage node, but is temporarily stored in the container so that the logistics process can continue at the next transportation time.

[0068] In one example, the container type field can indicate the same container used to transport the target item, thus indicating that the comparison node is a container transport temporary storage node. The target item is not moved from the container to the warehouse of the comparison node for storage. Therefore, the storage carbon emission information of the target item at this comparison node does not need to be calculated, so as to reduce the error of the storage carbon emission information and improve the accuracy of carbon emission information analysis.

[0069] In one example, the comparison type field can also include a tractor type field and a container type field. This can more accurately indicate that the target item is transported by a tractor towing a container, thus more accurately indicating that the target item was not moved from the container to the warehouse of the comparison node for storage. Therefore, the storage carbon emission information of the target item at the comparison node does not need to be calculated, thereby reducing the error caused by the target storage data to the storage carbon emission information of the item and improving the accuracy of carbon emission information analysis.

[0070] According to embodiments of this disclosure, target warehousing data may include target warehousing time periods and target item occupancy attributes. Target item occupancy attributes characterize the warehousing resources occupied by the target item stored in the target warehouse. Warehouse resources may include, for example, warehouse storage space resources, warehouse power consumption resources, etc.

[0071] Figure 3 schematically illustrates a flowchart of a process for analyzing the carbon emissions of a target item based on target storage data and warehouse carbon emission information related to the target warehouse, according to an embodiment of the present disclosure.

[0072] As shown in Figure 3, based on the target storage data and the warehouse carbon emission information related to the target warehouse, the storage carbon emission analysis of the target item may include operations S310~S320.

[0073] In operation S310, based on the target storage period and warehouse carbon emission information, the time period warehouse carbon emission information of the target warehouse during the target storage period is determined.

[0074] In operation S320, based on the target item's occupancy attributes and time period warehouse carbon emission information, the carbon emission information of the target item stored in the target warehouse is determined.

[0075] According to embodiments of this disclosure, warehouse carbon emission information can be calculated based on energy consumption (or resource consumption) data of the target warehouse. For example, warehouse carbon emission information during a preset period can be determined based on the electricity consumption and electricity carbon emission factor of the target warehouse during a preset period (e.g., 1 year).

[0076] According to embodiments of this disclosure, time-slot warehouse carbon emission information can represent warehouse carbon emission information related to the time period during which the target item is stored. Determining the item's storage carbon emission information based on the target item's occupancy attribute and the time-slot warehouse carbon emission information can include processing the time-slot warehouse carbon emission information based on the proportional relationship between the target item's occupancy attribute and the target warehouse's storage capacity attribute, thereby determining the item's storage carbon emission information in the target warehouse. The item's storage carbon emission information in the target warehouse can be understood as the carbon emission information of the target item at that storage node. Therefore, by fusing item storage carbon emission information from multiple storage nodes, or by statistically analyzing the item storage carbon emission information from each storage node, the carbon emissions or carbon reductions generated by the target item during the logistics process in an item order can be calculated, thereby improving the accuracy of carbon emission calculation for the target item.

[0077] According to embodiments of this disclosure, the occupancy attributes of the target item may include at least one of the following: target item weight, target item volume, and target item floor space.

[0078] According to embodiments of this disclosure, the target warehouse can be constructed based on preset storage weight conditions. The weight of the target item can represent the weight storage capacity of the target warehouse occupied by the target item, or it can represent the weight storage resources occupied by the target item in the target warehouse. It should be understood that the weight of the target item may also be related to the resource consumption of the target warehouse. For example, the larger the quantity of meat, the more warehouse electricity resources are required for freezing and preservation.

[0079] According to embodiments of this disclosure, the volume of a target item can represent the storage space resources occupied by the target item in the target warehouse, and it can be inferred that the carbon emissions of the target warehouse during the target storage period are generated based on the volume of the target item.

[0080] In one example, the proportion of a target item's volume to the target warehouse's pre-defined storage space can be used to characterize the space occupied by the target item. By allocating warehouse carbon emissions over a period of time based on the spatial proportions of multiple target items, the carbon emissions generated by storing the target items in the target warehouse can be characterized more accurately.

[0081] According to embodiments of this disclosure, the floor area occupied by the target item may include the projected area of ​​the target item in a preset direction, such as the projected area facing the ground. Alternatively, it may be the floor area required to place the target item. The target item area can represent the storage floor resources or storage area resources occupied by the target item in the target warehouse, and it can be inferred that the carbon emissions of the target warehouse during the target storage period are generated based on the target item area.

[0082] In one example, the area ratio between the target item's area and the target warehouse's preset storage area can be used to characterize the target item's occupation of the warehouse's preset storage area. By allocating warehouse carbon emissions over a period of time through the area ratios of multiple target items, the carbon emissions generated by the target items stored in the target warehouse can be characterized more accurately.

[0083] In one example, the larger of the target item's volume and its footprint can be used as the target item's footprint attribute by comparing the target item's volume and its footprint.

[0084] In one example, the proportion of a target item's weight to the target warehouse's pre-defined storage capacity can be used to characterize the amount of storage space occupied by the target item. By allocating warehouse carbon emissions over a period of time based on the proportions of the weights of multiple target items, the carbon emissions generated by storing the target item in the target warehouse can be characterized more accurately.

[0085] According to the embodiments of this disclosure, any one or more of the target item weight, target item volume, and target item floor area can be selected to obtain the target item occupancy attribute, which will not be elaborated further in the embodiments of this disclosure.

[0086] According to embodiments of this disclosure, warehouse carbon emission information is determined based on the following operation: determining the warehouse carbon emission information of the target warehouse based on the resource consumption amount corresponding to the resource consumption type of the target warehouse.

[0087] According to embodiments of this disclosure, resource consumption types can include any resource type such as electricity resources and fossil fuels. Resource consumption amounts can include the consumption amounts of various resource types, such as electricity consumption and diesel consumption. It should be understood that the resource consumption amount corresponding to the resource consumption type can be based on the resource consumption amount of the target warehouse in a preset period (e.g., 1 year).

[0088] According to embodiments of this disclosure, the corresponding carbon emission factor can be determined based on the type of resource consumption, and the carbon emission factor and resource consumption can be processed by a carbon emission accounting formula to obtain warehouse carbon emission information.

[0089] According to embodiments of this disclosure, resource consumption types may include at least one of the following: electricity resource consumption type, fossil energy consumption type, refrigerant consumption type, and fire-fighting equipment consumption type.

[0090] According to embodiments of this disclosure, the resource consumption of a power resource consumption type can be determined based on the power consumption of the target warehouse. For example, the resource consumption of a power resource consumption type can be determined based on the purchased power and self-storage power of the target warehouse.

[0091] According to embodiments of this disclosure, the resource consumption of fossil energy consumption types may include the consumption of any type of fossil energy such as diesel and natural gas.

[0092] According to embodiments of this disclosure, the resource consumption of refrigerant consumption types may include emissions from refrigeration products containing carbon elements, such as chlorofluorocarbons (CFCs) and dichloromethane. Determining the carbon emission information of a target warehouse based on refrigerant consumption allows for a more accurate analysis of the carbon emissions from the storage of target goods, thus improving the accuracy of determining the carbon emission information of the goods.

[0093] According to embodiments of this disclosure, the resource consumption of fire-fighting supplies can include the consumption of fire-fighting supplies in fire-fighting equipment. Fire-fighting supplies can include any type of fire-fighting material such as carbon dioxide, heptafluoromethane, and hexafluoromethane.

[0094] According to embodiments of this disclosure, the resource consumption type of the target warehouse may include any one or more of the above-mentioned power resource consumption type, fossil energy consumption type, refrigerant consumption type, and fire-fighting equipment consumption type. The warehouse carbon emission information of the target warehouse can be determined based on any one or more resource consumption types and the resource consumption amount of each resource consumption type. Further details are omitted here from the embodiments of this disclosure.

[0095] In one example, the carbon emission information of a target warehouse can be determined based on the sum of carbon emissions from electricity resources, natural gas, heat resources, refrigerants, and fire-fighting equipment.

[0096] In one example, a user can agree on the usage period (e.g., lease period) and usage area (e.g., leased area) for each target warehouse. Based on the warehouse utilization rate, usage period, usage area, and resource consumption of the resource type, the carbon emission information of the warehouse related to the user can be determined.

[0097] For example, the user's resource consumption can be determined by comparing the product of the target warehouse's resource consumption, usable area, and usage period with the product of the target warehouse's preset storage area and warehouse utilization rate. By processing the resource consumption and corresponding carbon emission factors using carbon accounting formulas, the warehouse carbon emission information related to that user can be obtained. Furthermore, the item storage carbon emission information related to the target item in the order can be determined by comparing the product of the target item's occupancy attribute and the target storage period with the warehouse carbon emission information related to that user.

[0098] According to embodiments of this disclosure, the method for determining carbon emission information of items in an order may further include: updating the resource consumption type of a target warehouse in response to an interactive operation on a resource consumption type element, thereby obtaining the updated resource consumption type.

[0099] According to embodiments of this disclosure, the resource consumption type element can be any type of interactive element such as tabs or input boxes displayed in the interactive interface. Any resource consumption type can be added, deleted, or modified based on interactive operations on the resource consumption type element. Thus, based on interactive operations, any resource consumption type can be added, deleted, or modified in the carbon emission accounting system related to the target warehouse. This allows the method provided by embodiments of this disclosure to perform warehouse carbon emission information accounting for the target warehouse based on the updated resource consumption type, thereby improving the refined carbon emission management and assessment for diverse target warehouses and enhancing carbon emission optimization performance.

[0100] Figure 4 schematically illustrates a warehouse carbon emission management interface according to an embodiment of the present disclosure.

[0101] As shown in Figure 4, the warehouse carbon emission management interface 400 can include a general list of carbon emission source types 410 and a target list of carbon emission source types 420. The general list of carbon emission source types 410 can include multiple resource consumption type elements such as fixed facility diesel, natural gas, purchased electricity, purchased heat, fire-fighting equipment, and refrigerant. Users can perform interactive operations by clicking the selection boxes before the natural gas and purchased electricity resource consumption type elements, thereby adding natural gas and electricity resource consumption types. The target list of carbon emission source types 420 can add resource consumption types configured by the user for the target warehouse based on the user's interactive operations. When the user clicks the confirm virtual button on the warehouse carbon emission management interface 400, four resource consumption types are obtained: fixed facility diesel, natural gas, purchased electricity, and fire-fighting equipment. When the user clicks the cancel virtual button on the warehouse carbon emission management interface 400, the natural gas and purchased electricity resource consumption types can be deleted from the target list of carbon emission source types 420. This allows for flexible configuration of the resource consumption types of the target warehouse, facilitating the subsequent detailed determination of the target warehouse's carbon emission information.

[0102] According to embodiments of this disclosure, the electricity resource consumption type may further include a clean energy consumption subtype. The clean energy consumption subtype can characterize the electricity consumption generated from clean energy sources that do not produce carbon emissions, such as solar, wind, and hydrogen fuel.

[0103] According to embodiments of this disclosure, determining the warehouse carbon emission information of a target warehouse based on the resource consumption corresponding to the resource consumption type of the target warehouse may further include: determining the warehouse carbon emission reduction of the target warehouse based on the clean energy consumption corresponding to the clean energy subtype, wherein the warehouse carbon emission information includes the warehouse carbon emission reduction.

[0104] According to embodiments of this disclosure, the carbon emission reduction of a warehouse can be determined based on information such as the power area emission reduction factor and the warehouse operation period of the target warehouse. Furthermore, the carbon emission reduction generated by storing the target item in the target warehouse can be determined based on the target item's occupancy attributes, the target storage period, and the warehouse carbon emission reduction. It is understood that warehouse carbon emission information may include the carbon emission reduction of the item's storage.

[0105] In one instance, an item order may include multiple waybill entries. The carbon emission reduction and carbon emission of the item storage can be calculated separately for each waybill entry to determine the item carbon emission information of the target item in the item order.

[0106] According to embodiments of this disclosure, the method for determining carbon emission information of items in an order may further include: displaying the carbon emission information of the item storage in an interactive interface.

[0107] According to embodiments of this disclosure, the carbon emission information of goods storage displayed in the interactive interface may include at least one of the carbon emission amount and carbon emission reduction amount of the target item, so that users can understand the carbon emission details of the target item in the order in a timely manner.

[0108] According to embodiments of this disclosure, carbon emission information of goods storage can be displayed using any display method, such as numerical values, text, line graphs, curve graphs, and statistical tables. Embodiments of this disclosure do not limit the specific display method for carbon emission information of goods storage.

[0109] According to embodiments of this disclosure, the method for determining carbon emission information of items in an order may further include: displaying an item order carbon emission trajectory generated based on item warehousing carbon emission information in an interactive interface.

[0110] According to embodiments of this disclosure, an item order carbon emission trajectory (or carbon emission footprint) can characterize the carbon emission information of a target item in an item order across various target warehouses. Alternatively, an item order carbon emission trajectory can also characterize the individual carbon emission information of multiple item orders. The item carbon emission information can be determined based on item warehousing carbon emission information. Alternatively, the item carbon emission information can also include multiple types of carbon emission information, such as item warehousing carbon emission information and item transportation carbon emission information.

[0111] According to embodiments of this disclosure, carbon emission information of an item can be displayed using any display method, such as numerical values, text, line graphs, curve graphs, or statistical tables. Embodiments of this disclosure do not limit the specific display method for carbon emission information of an item.

[0112] According to embodiments of this disclosure, the carbon emission trajectory of an item order can be displayed using any display method, such as numerical values, text, line graphs, curves, or statistical tables. Embodiments of this disclosure do not limit the specific display method for the carbon emission trajectory of an item order.

[0113] Figure 5 schematically illustrates a diagram of an order carbon footprint display interface according to an embodiment of the present disclosure.

[0114] As shown in Figure 5, the order carbon footprint display interface 500 may include a first display box 510, a second display box 520, a third display box 530, and a fourth display box 540. The first display box 510 can display the carbon emission trajectory of the target item in the order during transportation. The carbon emission information includes 1kg for air transport, 10kg for rail transport, 10kg for road transport, 1kg for warehousing, and 10kg for the last mile.

[0115] The second display box 520 can include the logistics process of the item order, showing that the target item's mileage is 133km, the quantity is 1 piece, and the weight is 1kg. The third display box 530 can show the tracking number of the target item in the order as 00001, the vehicle type for transporting the target item as a truck, the origin and destination of the logistics process as city A and city B respectively, and the storage time of the target item as 1 day. The fourth display box 540 can display the carbon emission information of the item in a list to improve the accuracy of the display of the carbon emission trajectory of the item order.

[0116] The method for determining carbon emission information of items in an order, provided according to embodiments of this disclosure, can also determine the carbon emission reduction of the target item during the last-mile transportation process of the item order. The carbon emission reduction of the target item during the last-mile transportation process can be determined based on the carbon emission reduction factor of the transportation vehicle type and the mileage traveled.

[0117] Figure 6 schematically illustrates a block diagram of an apparatus for determining carbon emission information of items in an order according to an embodiment of the present disclosure.

[0118] As shown in Figure 6, the device 600 for determining the carbon emission information of items in an order includes: a target warehouse data acquisition module 610 and an item warehouse carbon emission information acquisition module 620.

[0119] The target warehouse data acquisition module 610 is used to determine the target warehouse data of the target item in the logistics process in response to the acquisition of an item order.

[0120] The Goods Storage Carbon Emission Information Acquisition Module 620 is used to perform storage carbon emission analysis on target goods based on target storage data and warehouse carbon emission information related to the target warehouse, and obtain the goods storage carbon emission information of the target goods.

[0121] According to an embodiment of this disclosure, the target warehouse data acquisition module 610 includes: a first determination submodule and a target warehouse data submodule.

[0122] The first determination submodule is used to determine the waybill information of the target item based on the item order.

[0123] The target warehouse data submodule is used to determine the target warehouse data of the target item at at least one warehouse node in the logistics process based on the waybill information.

[0124] According to embodiments of this disclosure, the target warehouse data submodule includes: a logistics type field determination unit and a target warehouse data determination unit.

[0125] The logistics type field determination unit is used to determine the relevant logistics type fields of multiple warehousing nodes in the logistics process based on the waybill information. Among the multiple logistics type fields is a comparison type field, which indicates that the target item is not stored in the warehouse of the comparison warehousing node. The comparison warehousing node is associated with the comparison type field.

[0126] The target warehouse data determination unit is used to determine the target warehouse data of the target warehouse node from the warehouse data of multiple warehouse nodes based on the comparison type field, wherein the target item is stored in the target warehouse of the target warehouse node during the logistics process.

[0127] According to embodiments of this disclosure, the comparison type field includes at least one of the following: tractor type field and container type field.

[0128] According to embodiments of this disclosure, target warehousing data includes target warehousing time periods and target item occupancy attributes, whereby the target item occupancy attributes characterize the warehousing resources occupied by the target item when it is stored in the target warehouse.

[0129] According to embodiments of this disclosure, the goods storage carbon emission information acquisition module 620 includes: a time period warehouse carbon emission information determination submodule and a goods storage carbon emission information determination submodule.

[0130] The Time-Based Warehouse Carbon Emission Information Determination Submodule is used to determine the time-based warehouse carbon emission information of the target warehouse during the target storage period, based on the target storage period and warehouse carbon emission information.

[0131] The Goods Storage Carbon Emission Information Determination Submodule is used to determine the goods storage carbon emission information of the target goods stored in the target warehouse based on the target goods' occupancy attributes and time period warehouse carbon emission information.

[0132] According to embodiments of this disclosure, the occupancy attributes of the target item include at least one of the following: target item weight, target item volume, and target item floor area.

[0133] According to embodiments of this disclosure, warehouse carbon emission information is determined based on the following operation: determining the warehouse carbon emission information of the target warehouse based on the resource consumption amount corresponding to the resource consumption type of the target warehouse.

[0134] According to embodiments of this disclosure, the above-described apparatus further includes an update module.

[0135] The update module is used to respond to interactive operations on resource consumption type elements, update the resource consumption type of the target repository, and obtain the updated resource consumption type.

[0136] According to embodiments of this disclosure, the resource consumption type includes at least one of the following: electricity resource consumption type, fossil energy consumption type, refrigerant consumption type, and fire-fighting equipment consumption type.

[0137] According to embodiments of this disclosure, the power resource consumption type also includes a clean energy consumption subtype.

[0138] According to embodiments of this disclosure, determining the warehouse carbon emission information of a target warehouse based on the resource consumption corresponding to the resource consumption type of the target warehouse includes: determining the warehouse carbon emission reduction of the target warehouse based on the clean energy consumption corresponding to the clean energy subtype, wherein the warehouse carbon emission information includes the warehouse carbon emission reduction.

[0139] According to embodiments of this disclosure, the above-described apparatus further includes: a first display module and / or a second display module.

[0140] The first display module is used to display carbon emission information of goods storage in the interactive interface.

[0141] The second display module is used to display the carbon emission trajectory of item orders generated based on the carbon emission information of item storage in the interactive interface.

[0142] Any one or more of the modules, submodules, units, and subunits according to embodiments of the present disclosure, or at least part of the functions of any one or more of them, can be implemented in one module. Any one or more of the modules, submodules, units, and subunits according to embodiments of the present disclosure can be implemented by dividing them into multiple modules. Any one or more of the modules, submodules, units, and subunits according to embodiments of the present disclosure can be at least partially implemented as hardware circuitry, such as a Field-Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a System-on-Chip, a System-on-a-Substrate, a System-on-Package, an Application-Specific Integrated Circuit (ASIC), or implemented in hardware or firmware by any other reasonable means of integrating or packaging circuitry, or implemented in software, hardware, or firmware, or in any suitable combination of any of these three implementation methods. Alternatively, one or more of the modules, submodules, units, and subunits according to embodiments of the present disclosure can be at least partially implemented as computer program modules, which, when run, can perform corresponding functions.

[0143] For example, any plurality of the target warehouse data acquisition module 610 and the goods warehouse carbon emission information acquisition module 620 can be combined into one module / unit / subunit, or any one of these modules / units / subunits can be split into multiple modules / units / subunits. Alternatively, at least part of the functionality of one or more of these modules / units / subunits can be combined with at least part of the functionality of other modules / units / subunits and implemented in one module / unit / subunit. According to embodiments of this disclosure, at least one of the target warehouse data acquisition module 610 and the goods warehouse carbon emission information acquisition module 620 can be at least partially implemented as hardware circuitry, such as a field-programmable gate array (FPGA), a programmable logic array (PLA), a system-on-a-chip, a system-on-a-substrate, a system-on-package, an application-specific integrated circuit (ASIC), or any other reasonable means of integrating or packaging the circuitry, or implemented in software, hardware, or firmware, or in any suitable combination of any of these three implementation methods. Alternatively, at least one of the target storage data acquisition module 610 and the goods storage carbon emission information acquisition module 620 can be at least partially implemented as a computer program module, which can perform corresponding functions when the computer program module is run.

[0144] It should be noted that the apparatus portion for determining carbon emission information of items in an order in the embodiments of this disclosure corresponds to the method portion for determining carbon emission information of items in an order in the embodiments of this disclosure. For a detailed description of the apparatus portion for determining carbon emission information of items in an order, please refer to the method portion for determining carbon emission information of items in an order, which will not be repeated here.

[0145] Figure 7 schematically illustrates a block diagram of an electronic device suitable for implementing a method for determining carbon emission information of items in an order, according to an embodiment of the present disclosure. The electronic device shown in Figure 7 is merely an example and should not be construed as limiting the functionality and scope of the embodiments of the present disclosure.

[0146] As shown in FIG. 7, an electronic device 700 according to an embodiment of the present disclosure includes a processor 701, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 702 or a program loaded from a storage portion 708 into a random access memory (RAM) 703. The processor 701 may include, for example, a general-purpose microprocessor (e.g., a CPU), an instruction set processor and / or an associated chipset and / or a special-purpose microprocessor (e.g., an application-specific integrated circuit (ASIC)), etc. The processor 701 may also include onboard memory for caching purposes. The processor 701 may include a single processing unit or multiple processing units for performing different actions of the method flow according to an embodiment of the present disclosure.

[0147] RAM 703 stores various programs and data required for the operation of electronic device 700. Processor 701, ROM 702, and RAM 703 are interconnected via bus 704. Processor 701 performs various operations of the method flow according to embodiments of the present disclosure by executing programs in ROM 702 and / or RAM 703. It should be noted that the programs may also be stored in one or more memories other than ROM 702 and RAM 703. Processor 701 may also perform various operations of the method flow according to embodiments of the present disclosure by executing programs stored in said one or more memories.

[0148] According to embodiments of this disclosure, the electronic device 700 may further include an input / output (I / O) interface 705, which is also connected to a bus 704. The electronic device 700 may also include one or more of the following components connected to the input / output (I / O) interface 705: an input section 706 including a keyboard, mouse, etc.; an output section 707 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 708 including a hard disk, etc.; and a communication section 709 including a network interface card such as a LAN card, modem, etc. The communication section 709 performs communication processing via a network such as the Internet. A drive 710 is also connected to the input / output (I / O) interface 705 as needed. A removable medium 711, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., is installed on the drive 710 as needed so that computer programs read from it can be installed into the storage section 708 as needed.

[0149] According to embodiments of this disclosure, the method flow according to embodiments of this disclosure can be implemented as a computer software program. For example, embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable storage medium, the computer program containing program code for performing the methods shown in the flowchart. In such embodiments, the computer program can be downloaded and installed from a network via communication section 709, and / or installed from removable medium 711. When the computer program is executed by processor 701, it performs the functions defined in the system of embodiments of this disclosure. According to embodiments of this disclosure, the systems, devices, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0150] This disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or it may exist independently and not assembled into the device / apparatus / system. The computer-readable storage medium carries one or more programs that, when executed, implement the method according to the embodiments of this disclosure.

[0151] According to embodiments of this disclosure, the computer-readable storage medium can be a non-volatile computer-readable storage medium. Examples include, but are not limited to: portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof. In this disclosure, the computer-readable storage medium can be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0152] For example, according to embodiments of this disclosure, a computer-readable storage medium may include the ROM 702 and / or RAM 703 described above and / or one or more memories other than ROM 702 and RAM 703.

[0153] Embodiments of this disclosure also include a computer program product comprising a computer program containing program code for performing the methods provided in the embodiments of this disclosure. When the computer program product is run on an electronic device, the program code is used to enable the electronic device to implement the methods provided in the embodiments of this disclosure for determining carbon emission information of items in an order.

[0154] When the computer program is executed by the processor 701, it performs the functions defined in the system / apparatus of this disclosure embodiments. According to embodiments of this disclosure, the systems, apparatuses, modules, units, etc., described above can be implemented by computer program modules.

[0155] In one embodiment, the computer program may rely on a tangible storage medium such as an optical storage device or a magnetic storage device. In another embodiment, the computer program may also be transmitted and distributed in the form of signals over a network medium, and may be downloaded and installed via the communication section 709, and / or installed from a removable medium 711. The program code contained in the computer program can be transmitted using any suitable network medium, including but not limited to: wireless, wired, etc., or any suitable combination thereof.

[0156] According to embodiments of this disclosure, program code for executing the computer programs provided in embodiments of this disclosure can be written in any combination of one or more programming languages. Specifically, these computational programs can be implemented using high-level procedural and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, languages ​​such as Java, C++, Python, "C", or similar programming languages. The program code can execute entirely on a user's computing device, partially on a user's device, partially on a remote computing device, or entirely on a remote computing device or server. In cases involving remote computing devices, the remote computing device can be connected to the user's computing device via any type of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computing device (e.g., via the Internet using an Internet service provider).

[0157] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, may be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions. Those skilled in the art will understand that the features described in the various embodiments of the present disclosure can be combined and / or combined in various ways, even if such combinations are not explicitly described in the present disclosure. In particular, the features described in the various embodiments of this disclosure may be combined and / or combined in various ways without departing from the spirit and teachings of this disclosure. All such combinations and / or combinations fall within the scope of this disclosure.

[0158] The embodiments of this disclosure have been described above. However, these embodiments are for illustrative purposes only and are not intended to limit the scope of this disclosure. Although various embodiments have been described above, this does not mean that the measures in the various embodiments cannot be used advantageously in combination. Various substitutions and modifications can be made by those skilled in the art without departing from the scope of this disclosure, and all such substitutions and modifications should fall within the scope of this disclosure.

Claims

1. A method for determining carbon emission information of items in an order, comprising: In response to receiving an item order, the target warehousing data of the target item in the logistics process is determined based on the item order; as well as Based on the target warehousing data and warehouse carbon emission information related to the target warehouse, a warehousing carbon emission analysis is performed on the target item to obtain the item warehousing carbon emission information.

2. The method according to claim 1, wherein, Based on the item order, the target warehousing data for the target item during the logistics process includes: Determine the shipping information of the target item based on the item order; and Based on the waybill information, the target warehousing data of the target item at at least one warehousing node in the logistics process is determined.

3. The method according to claim 2, wherein, Based on the waybill information, the target warehousing data for at least one warehousing node in the logistics process for the target item includes: Based on the waybill information, the logistics type fields related to each of the multiple warehousing nodes in the logistics process are determined. Among the multiple logistics type fields, there is a comparison type field, which indicates that the target item is not stored in the warehouse of the comparison node. The comparison node is associated with the comparison type field. Based on the comparison type field, the target storage data of the target storage node is determined from the storage data of multiple storage nodes, wherein the target item is stored in the target warehouse of the target storage node during the logistics process.

4. The method according to claim 3, wherein, The comparison type field includes at least one of the following: Tractor type field, container type field.

5. The method according to claim 1, wherein, The target warehousing data includes the target warehousing period and the target item occupancy attribute, wherein the target item occupancy attribute represents the warehousing resources occupied by the target item in the target warehouse; The step of performing warehousing carbon emission analysis on the target goods based on the target warehousing data and warehouse carbon emission information related to the target warehouse includes: Based on the target storage period and the warehouse carbon emission information, determine the time-period warehouse carbon emission information of the target warehouse during the target storage period; and Based on the occupancy attributes of the target item and the warehouse carbon emission information for the specified time period, the storage carbon emission information of the target item stored in the target warehouse is determined.

6. The method according to claim 5, wherein, The target item occupies at least one of the following attributes: Weight of the target item, volume of the target item, and area occupied by the target item.

7. The method according to claim 5, wherein, The warehouse carbon emission information was determined based on the following operations: Based on the resource consumption amount corresponding to the resource consumption type of the target warehouse, the warehouse carbon emission information of the target warehouse is determined.

8. The method according to claim 7, further comprising: In response to the interactive operation on the resource consumption type element, the resource consumption type of the target warehouse is updated to obtain the updated resource consumption type.

9. The method according to claim 7, wherein, The resource consumption type includes at least one of the following: Types of electricity consumption, fossil energy consumption, refrigerant consumption, and fire-fighting equipment consumption.

10. The method according to claim 7, wherein, The types of electricity resource consumption also include a subtype of clean energy consumption. The determination of the target warehouse's carbon emission information, based on the resource consumption amount corresponding to the resource consumption type of the target warehouse, includes: Based on the clean energy consumption corresponding to the clean energy subtype, the warehouse carbon emission reduction of the target warehouse is determined, wherein the warehouse carbon emission information includes the warehouse carbon emission reduction.

11. The method according to any one of claims 1 to 10, further comprising: The interactive interface displays the carbon emission information of the stored goods. and / or The interactive interface displays the carbon emission trajectory of the item order generated based on the item's warehousing carbon emission information.

12. An apparatus for determining carbon emission information of items in an order, comprising: The target warehouse data acquisition module is used to determine the target warehouse data of the target item in the logistics process based on the item order in response to the acquisition of an item order. as well as The item storage carbon emission information acquisition module is used to perform storage carbon emission analysis on the target item based on the target storage data and the warehouse carbon emission information related to the target warehouse, and obtain the item storage carbon emission information of the target item.

13. An electronic device, comprising: One or more processors; Memory, used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the method of any one of claims 1 to 11.

14. A computer-readable storage medium having stored thereon executable instructions that, when executed by a processor, cause the processor to perform the method of any one of claims 1 to 11.

15. A computer program product comprising a computer program that, when executed by a processor, implements the method according to any one of claims 1 to 11.

Images