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

Abstract

The present disclosure provides a method, device, equipment, readable storage medium and program product for determining carbon emission information of items in an order, which relates to the fields of the Internet, intelligent supply chain and smart logistics. The method includes: in response to obtaining an item order, determining target storage data of a target item in a logistics process according to the item order; and performing storage carbon emission analysis on the target item based on the target storage data and warehouse carbon emission information related to the target warehouse, to obtain the item storage carbon emission information of the target item.

Description

Technical Field

[0001] The present disclosure relates to the fields of the Internet, intelligent supply chain and smart logistics, 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 Art

[0002] Carbon emissions can be a general term or abbreviation for greenhouse gas emissions. Since carbon dioxide is the most important greenhouse gas, the word carbon is used as a representative.

[0003] In the process of realizing the concept of the present disclosure, the inventors found that there are at least the following problems in the relevant technologies: With the implementation of relevant carbon emission standards and the increasing demand of the public for reducing carbon emissions, the optimization of carbon emissions generated during the production and sales of goods has gradually become an important part of achieving the goal of carbon emission reduction. However, the statistical method for carbon emission information during the production and sales of goods is difficult to accurately represent the actual situation, making it difficult to accurately optimize the overall carbon emissions. Summary of the invention

[0004] In view of this, the present disclosure provides a method, apparatus, device, readable storage medium and program product for determining carbon emission information of items in an order.

[0005] One aspect of the present disclosure provides a method for determining carbon emission information of items in an order, comprising: in response to obtaining an item order, determining target warehouse data of the target item in the logistics process according to the item order; and performing a warehouse carbon emission analysis on the target item based on the target warehouse data and warehouse carbon emission information related to the target warehouse to obtain the item warehouse carbon emission information of the target item.

[0006] According to an embodiment of the present disclosure, determining the target storage data of the target item in the logistics process according to the above-mentioned item order includes: determining the waybill information of the above-mentioned target item according to the above-mentioned item order; and determining the target storage data of at least one storage node of the above-mentioned target item in the above-mentioned logistics process according to the above-mentioned waybill information.

[0007] According to an embodiment of the present disclosure, determining the target storage data of at least one storage node of the target item in the logistics process based on the waybill information includes: determining the logistics type fields related to each of the multiple storage nodes in the logistics process based on the waybill information, wherein the multiple logistics type fields include a comparison type field, and the comparison type field indicates that the target item is not stored in the warehouse at the comparison node, and the comparison node is associated with the comparison type field; based on the comparison type field, determining the target storage data of the target storage node from the storage data of the multiple storage nodes, wherein the target item is stored in the target warehouse of the target storage node in the logistics process.

[0008] According to an embodiment of the present disclosure, the above-mentioned comparison type field includes at least one of the following: a tractor type field and a container type field.

[0009] According to an embodiment of the present disclosure, the above-mentioned target storage data includes a target storage period and a target item occupancy attribute, and the above-mentioned target item occupancy attribute characterizes the storage resources occupied by the above-mentioned target item stored in the above-mentioned target warehouse; wherein, the above-mentioned storage carbon emission analysis of the above-mentioned target item based on the above-mentioned target storage data and the warehouse carbon emission information related to the target warehouse includes: determining the time period warehouse carbon emission information of the above-mentioned target warehouse in the above-mentioned target storage period based on the above-mentioned target storage period and the above-mentioned warehouse carbon emission information; and determining the item storage carbon emission information of the above-mentioned target item stored in the above-mentioned target warehouse based on the above-mentioned target item occupancy attribute and the above-mentioned time period warehouse carbon emission information.

[0010] According to an embodiment of the present disclosure, the above-mentioned target item occupancy attribute includes at least one of the following: target item weight, target item volume, and target item floor space.

[0011] According to an embodiment of the present disclosure, the above-mentioned warehouse carbon emission information is determined based on the following operation: based on the resource consumption amount corresponding to the resource consumption type of the above-mentioned target warehouse, the warehouse carbon emission information of the above-mentioned target warehouse is determined.

[0012] According to an embodiment of the present disclosure, the method further includes: in response to an interactive operation on the resource consumption type element, updating the resource consumption type of the target warehouse to obtain the updated resource consumption type.

[0013] According to an embodiment of the present disclosure, the above-mentioned resource consumption type includes at least one of the following: an electric power resource consumption type, a fossil energy consumption type, a refrigerant consumption type, and a fire-fighting item consumption type.

[0014] According to an embodiment of the present disclosure, the above-mentioned power resource consumption type also includes a clean energy consumption sub-type, wherein, based on the resource consumption corresponding to the resource consumption type of the above-mentioned target warehouse, determining the warehouse carbon emission information of the above-mentioned target warehouse includes: determining the warehouse carbon emission reduction of the above-mentioned target warehouse based on the clean energy consumption corresponding to the above-mentioned clean energy sub-type, wherein the above-mentioned warehouse carbon emission information includes the above-mentioned warehouse carbon emission reduction.

[0015] According to an embodiment of the present disclosure, the above method also includes: displaying the above item warehousing carbon emission information in the interactive interface; and / or displaying the item order carbon emission trajectory generated based on the above item warehousing carbon emission information in the above interactive interface.

[0016] Another aspect of the present disclosure provides a device for determining the carbon emission information of items in an order, including: a target storage data acquisition module, for responding to obtaining an item order and determining the target storage data of the target item in the logistics process according to the item order; and an item storage carbon emission information acquisition module, for performing a storage carbon emission analysis on the target item based on the target storage data and warehouse carbon emission information related to the target warehouse, so as to obtain the item storage carbon emission information of the target item.

[0017] Another aspect of the present disclosure provides an electronic device, including: 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 implement the method as described above.

[0018] Another aspect of the present disclosure provides a computer-readable storage medium storing computer-executable instructions, which are used to implement the above method when executed.

[0019] Another aspect of the present disclosure provides a computer program product, which includes computer executable instructions, and when the instructions are executed, are used to implement the method as described above.

[0020] According to the embodiments of the present disclosure, by determining the target warehousing data generated in the cargo logistics process according to the item order, and then performing carbon emission analysis on the warehousing link of the target item in the logistics process according to the target warehousing data and the warehouse carbon emission information of the target warehouse, the carbon emission situation of the warehousing nodes that are more easily overlooked in the logistics process of the items can be tracked more accurately, and then the item warehousing carbon emission information can be made to more accurately characterize the carbon emission situation of the target item in the entire logistics process, and realize fine-grained analysis of the carbon emission situation of the logistics process of the items in the order, and improve the technical effect of improving the accuracy and refinement of carbon emission detection for the overall logistics link, which can realize more refined optimization of carbon emission methods and help reduce carbon emissions in logistics operations. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The above and other objects, features and advantages of the present disclosure will become more apparent through the following description of the embodiments of the present disclosure with reference to the accompanying drawings, in which:

[0022] Figure 1 Schematically illustrates an exemplary system architecture in which a method and apparatus for determining carbon emission information of items in an order according to an embodiment of the present disclosure can be applied;

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

[0024] Figure 3 A flowchart schematically illustrates a method of performing storage carbon emission analysis on 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 A schematic diagram of a warehouse carbon emission management interface according to an embodiment of the present disclosure is schematically shown;

[0026] Figure 5 A schematic diagram of an order carbon footprint display interface according to an embodiment of the present disclosure is schematically shown;

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

[0028] Figure 7 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 is schematically shown. DETAILED DESCRIPTION

[0029] Hereinafter, embodiments of the present disclosure will 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 present disclosure. In the following detailed description, for ease of explanation, many specific details are set forth to provide a comprehensive understanding of the embodiments of the present disclosure. However, it is apparent that one or more embodiments may also be implemented without these specific details. In addition, in the following description, descriptions of known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present disclosure.

[0030] The terms used herein are only for describing specific embodiments and are not intended to limit the present disclosure. The terms "comprise", "include", etc. used herein indicate the existence of the features, steps, operations and / or components, but do not exclude the existence or addition of one or more other features, steps, operations or components.

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

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

[0033] In the embodiments of the present disclosure, the collection, updating, analysis, processing, use, transmission, provision, disclosure, storage, etc. of the data involved (for example, including but not limited to user personal information) are in compliance with the provisions of relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. In particular, necessary measures are taken for user personal information to prevent illegal access to user personal information data and maintain the security of user personal information, network security, and national security.

[0034] In the embodiments of the present disclosure, the user's authorization or consent is obtained before obtaining or collecting the user's personal information.

[0035] The inventors found that the accuracy of carbon emission information accounting for items 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 will lead to a negative effect on the overall carbon emission optimization.

[0036] The embodiments of the present disclosure provide a method, device, apparatus, 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 storage data of a target item in a logistics process according to the item order; and performing storage carbon emission analysis on the target item based on the target storage data and warehouse carbon emission information related to the target warehouse to obtain the item storage carbon emission information of the target item.

[0037] According to the embodiments of the present disclosure, by determining the target warehousing data generated in the cargo logistics process according to the item order, and then performing carbon emission analysis on the warehousing link of the target item in the logistics process according to the target warehousing data and the warehouse carbon emission information of the target warehouse, the carbon emission situation of the warehousing nodes that are more easily overlooked in the logistics process of the items can be tracked more accurately, and then the item warehousing carbon emission information can be made to more accurately characterize the carbon emission situation of the target item in the entire logistics process, and realize fine-grained analysis of the carbon emission situation of the logistics process of the items in the order, thereby improving the accuracy and refinement of carbon emission detection for the overall logistics link, and realizing more refined optimization of carbon emission methods, which helps to reduce carbon emissions in logistics operations.

[0038] Figure 1 The exemplary system architecture of the method and device for determining carbon emission information of items in an order according to an embodiment of the present disclosure is schematically shown. It should be noted that: Figure 1 What is shown is merely an example of a system architecture to which the embodiments of the present disclosure can be applied, in order to help those skilled in the art understand the technical content of the present disclosure, but it does not mean that the embodiments of the present disclosure cannot be used in other devices, systems, environments or scenarios.

[0039] like Figure 1 As shown, 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 is used to provide a medium for a communication link 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] The user may use the first terminal device 101, the second terminal device 102, and the third terminal device 103 to interact with the server 105 through the network 104 to receive or send messages, etc. Various communication client applications may 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 platform software, etc. (only for example).

[0041] The first terminal device 101, the second terminal device 102, and the third terminal device 103 may be various electronic devices having display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop computers, desktop computers, and the like.

[0042] The server 105 may be a server that provides various services, such as a background management server (only as an example) that provides support for websites browsed by users using the first terminal device 101, the second terminal device 102, and the third terminal device 103. The background management server may analyze and process the received data such as 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 device.

[0043] It should be noted that the method for determining the carbon emission information of items in an order provided by the embodiment of the present disclosure can generally be executed by the server 105. Accordingly, the device for determining the carbon emission information of items in an order provided by the embodiment of the present disclosure can generally be set in the server 105. The method for determining the carbon emission information of items in an order provided by the embodiment of the present disclosure can also be executed by a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Accordingly, the device for determining the carbon emission information of items in an order provided by the embodiment of the present disclosure can also be set in a server or server cluster that is different from the server 105 and can communicate with the first terminal device 101, the second terminal device 102, the third terminal device 103 and / or the server 105. Alternatively, the method for determining carbon emission information of items in an order provided by the embodiment of the present disclosure may also be executed by the first terminal device 101, the second terminal device 102, or the third terminal device 103, or may also be executed by other terminal devices different from the first terminal device 101, the second terminal device 102, or the third terminal device 103. Accordingly, the apparatus for determining carbon emission information of items in an order provided by the embodiment of the present disclosure may also be set in the first terminal device 101, the second terminal device 102, or the third terminal device 103, or may be set 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 Figure 1 The number of terminal devices, networks and servers in the embodiment is only for illustration. Any number of terminal devices, networks and servers may be provided according to implementation requirements.

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

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

[0047] In operation S210, in response to obtaining an item order, determining target storage data of a target item in a logistics process according to the item order; and

[0048] In operation S220, based on the target warehouse 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 of the target item.

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

[0050] According to an embodiment of the present disclosure, an item order may include logistics information generated by the target item during the logistics process, such as transportation routes, types of transportation vehicles, storage periods of transit warehouses, etc. The target storage data may represent data related to the storage links (or storage nodes) of the target item during the logistics process, for example, data related to the target warehouse where the target item is stored, such as the location of the target warehouse, the item storage area, power consumption, etc. Another example may include the entry and exit times of the target item, etc.

[0051] According to the embodiments of the present disclosure, the warehouse carbon emission information of the target warehouse can characterize the carbon emissions, carbon emission reductions, and other information generated by the target warehouse during operation. The warehouse carbon emission information can be determined based on the resource consumption of the target warehouse, for example, the warehouse carbon emission is determined based on the diesel carbon emission factor and diesel consumption. The embodiments of the present disclosure do not limit the specific method for determining the warehouse carbon emission information, and those skilled in the art can make a choice according to actual needs.

[0052] According to an embodiment of the present disclosure, a storage carbon emission analysis of a target item is performed based on the target storage data and the warehouse carbon emission information. The carbon emission information generated by the storage of the target item in the target warehouse can be analyzed based on the attributes of the target item represented by the target storage 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 represented by the target storage data (such as the storage time, storage location, storage temperature conditions, etc. of the target item in the target warehouse). This can enable a fine-grained carbon emission analysis of the logistics process of the target item, so that the obtained item storage carbon emission information can more accurately represent the carbon emission information generated by the storage link of the target item in the logistics process, so that the item storage carbon emission information can be used to more accurately represent the carbon emissions of the item in the entire cycle of the item order, thereby improving the carbon emission accounting accuracy.

[0053] According to the embodiments of the present disclosure, the storage 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 to this, and may also include the aggregated results of the carbon emission information generated by each target warehouse during the logistics process of the target item. The embodiments of the present disclosure do not limit the specific type of the storage carbon emission information, as long as it can characterize the carbon emission of the target item in the storage link.

[0054] According to an embodiment of the present disclosure, determining the target storage 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 storage data of at least one storage node of the target item in the logistics process based on the waybill information.

[0055] According to an embodiment of the present disclosure, the waybill information may include data generated by the target item during the logistics process, such as the type and mileage of the logistics vehicle, and may also include the storage time of the target item in each transit warehouse and the destination warehouse, etc. The waybill information may also include data related to the item attributes of the target item, such as the size, weight, storage conditions, etc. of the target item.

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

[0057] According to the embodiments of the present disclosure, the target storage data of the storage node is determined according to the waybill information, so that the target storage data can more finely characterize the storage situation of the goods in the storage node, which is conducive to the fine-grained storage carbon emission analysis of one or more storage nodes in the logistics process, thereby improving the analysis accuracy of the carbon emission information of the goods warehouse and improving the accuracy of the calculation of the storage carbon emission information.

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

[0059] According to an embodiment of the present disclosure, the target item is stored in a target warehouse of a target storage node during the logistics process.

[0060] According to an embodiment of the present disclosure, a plurality of logistics type fields may include a comparison type field, the comparison type field representing 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 storage nodes, and the comparison node among the multiple storage nodes may be a transit node where the target item is not stored in the warehouse. For example, the target item may enter the warehouse park at the comparison node, but not enter the warehouse for storage.

[0062] According to an embodiment of the present disclosure, the storage nodes and temporary storage nodes of the target items in the logistics process will be represented as storage nodes in the waybill information. For example, the waybill information will generate a logistics type node field of the A storage node, and the logistics type field may include the node location field, the logistics storage method field, the storage duration field, the transportation tool type field entering the node, the transportation tool type field leaving the node, and the like. The comparison type field can be determined from the logistics type field based on a preset rule, so that it can be more convenient and accurate to identify whether the target item is stored in the storage node, and then by identifying the situation that the target item is not stored in the comparison node, the abnormal node in the storage node that is not related to the carbon emission of the target item is identified to avoid calculating the storage carbon emission information generated by the target item in the comparison node, so that the target storage data can be more accurately determined to accurately characterize the real carbon emission situation of the logistics process of the target item, and improve the accuracy of the calculation of the carbon emission information of the overall logistics process of the target item.

[0063] According to an embodiment of the present 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 an embodiment of the present disclosure, the tractor type field may characterize the transport vehicle entering the comparison node as a field characterizing a transport vehicle with towing carrying capacity, for example, it may be a field characterizing the vehicle type, vehicle model and other vehicle attributes of the tractor head (or trailer head).

[0065] In one example, the tractor type field may include fields for the vehicle attributes of two different tractors, thereby indicating that the comparison node is a temporary storage node for replacing the tractor, and the target item has not been stored in the warehouse of the comparison node. Therefore, the storage carbon emission information of the target item at the comparison node may not be calculated, so as to reduce the error of the storage carbon emission information of the item and improve the analysis accuracy of the carbon emission information.

[0066] According to an embodiment of the present disclosure, the container type field may indicate that the mode of transportation of the target item entering and / or the comparison node is container transportation. The container type field may, for example, be a field indicating container attributes such as the model and number of the container, or may also include a field indicating the logistics mode of the container entering or leaving the comparison node.

[0067] According to an embodiment of the present disclosure, the target item can be transported by being stored in a container. When the target storage data of the storage node includes a container field, it can be inferred that the target item has not been removed from the container in the storage node, but has been temporarily stored in the container so that the logistics process can be continued at the next transportation moment.

[0068] In one example, the container type field can represent the same container used to transport the target item, thereby indicating that the comparison node is a container transportation temporary storage node, and 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 the comparison node does not need to be calculated, so as to reduce the error of the item storage carbon emission information and improve the analysis accuracy of the carbon emission information.

[0069] In one example, the comparison type field may also include a tractor type field and a container type field, which can more accurately indicate that the target item is transported by a tractor towing a container, thereby more accurately indicating that 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 the comparison node does not need to be calculated, so as to reduce the error caused by the target storage data to the item storage carbon emission information and improve the analysis accuracy of the carbon emission information.

[0070] According to an embodiment of the present disclosure, the target storage data may include a target storage period and a target item occupancy attribute, wherein the target item occupancy attribute represents the storage resources occupied by the target item when stored in the target warehouse. For example, the storage resources may be warehouse storage space resources, warehouse power consumption resources, and the like.

[0071] Figure 3 The flowchart schematically shows a process of performing storage carbon emission analysis on 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] like Figure 3 As shown, based on the target warehouse data and the warehouse carbon emission information related to the target warehouse, performing a warehouse carbon emission analysis on the target item may include operations S310 to S320.

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

[0074] In operation S320, based on the occupancy attribute of the target item and the warehouse carbon emission information during the period, the object storage carbon emission information of the target item stored in the target warehouse is determined.

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

[0076] According to an embodiment of the present disclosure, the time period warehouse carbon emission information can represent the warehouse carbon emission information related to the time period for storing the target item. Based on the target item occupancy attribute and the time period warehouse carbon emission information, the item storage carbon emission information is determined, which can include processing the time period warehouse carbon emission information based on the proportional relationship between the target item occupancy attribute and the storage capacity attribute of the target warehouse, and then determining the item storage carbon emission information of the target item stored in the target warehouse. The item storage carbon emission information of the target item stored in the target warehouse can be understood as the carbon emission information of the target item at the storage node. Therefore, by integrating the item storage carbon emission information of multiple storage nodes, or by counting the item storage carbon emission information of each storage node, the carbon emissions or carbon emission reductions generated by the target items in the item order during the logistics process can be calculated, thereby improving the calculation accuracy of carbon emission calculations for the target items.

[0077] According to an embodiment of the present disclosure, the target item occupancy attribute may include at least one of the following: target item weight, target item volume, and target item floor space.

[0078] According to an embodiment of the present disclosure, the target warehouse may be constructed based on a preset storage weight condition, and the target item weight may indicate the item weight storage capacity of the target warehouse occupied by the target item, or may indicate the weight storage resources occupied by the target item in the target warehouse. It should be understood that the target item weight may also be related to the resource consumption of the target warehouse, for example, the larger the total amount of meat items, the more warehouse power resources are required for freezing and preservation.

[0079] According to an embodiment of the present disclosure, the volume of the 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 space ratio between the volume of the target item and the preset storage space of the target warehouse can be used to characterize the situation that the target item occupies the preset storage space of the target warehouse. By allocating the warehouse carbon emission information for a period of time through the space ratio between multiple target items, the carbon emission information generated by the storage of the target item in the target warehouse can be more accurately characterized.

[0081] According to an embodiment of the present disclosure, the target item floor area may include the projected area of ​​the target item in a preset direction, for example, the projected area in the direction facing the ground. Alternatively, it may be the floor area required to place the target item. The target item area may indicate the storage ground resources or storage area resources occupied by the target item in the target warehouse, and it may 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 target item's occupation of the preset storage area of ​​the target warehouse can be characterized based on the area ratio between the target item area and the preset storage area of ​​the target warehouse. The carbon emission information of the warehouse during the period can be apportioned by the area ratio of multiple target items, which can more accurately characterize the carbon emission information generated by the storage of the target item in the target warehouse.

[0083] In one example, the target item volume and the target item floor area may be compared, and the larger one of the target item volume and the target item floor area may be used as the target item occupancy attribute.

[0084] In one example, the target item's occupation of the preset storage mass of the target warehouse can be characterized based on the mass ratio relationship between the target item's mass and the preset storage mass of the target warehouse. The carbon emission information of the warehouse during the period can be apportioned by the mass ratio relationship of multiple target items, which can more accurately characterize the carbon emission information generated by the storage of the target item in the target warehouse.

[0085] According to the embodiments of the present disclosure, any one or a combination of multiple items of the target item weight, target item volume, and target item floor space may be selected to obtain the target item occupancy attribute, which will not be described in detail in the embodiments of the present disclosure.

[0086] According to an embodiment of the present disclosure, the warehouse carbon emission information is determined based on the following operation: 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.

[0087] According to an embodiment of the present disclosure, resource consumption types may include any resource types such as power resources and fossil energy. Resource consumption may include consumption of resources of various resource types such as electricity consumption and diesel consumption. It should be understood that the resource consumption corresponding to the resource consumption type may be based on the resource consumption of the target warehouse in a preset period (e.g., 1 year).

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

[0089] According to an embodiment of the present disclosure, the resource consumption type may include at least one of the following: an electric power resource consumption type, a fossil energy consumption type, a refrigerant consumption type, and a fire-fighting item consumption type.

[0090] According to an embodiment of the present disclosure, the resource consumption of the power resource consumption type can be determined based on the power consumption of the target warehouse. For example, the resource consumption of the power resource consumption type can be determined based on the purchased power and self-stored power consumption of the target warehouse.

[0091] According to an embodiment of the present disclosure, the resource consumption of the fossil energy consumption type may include the consumption of any type of fossil energy such as diesel, natural gas, etc.

[0092] According to the embodiments of the present disclosure, the resource consumption of the refrigerant consumption type may include the emission of refrigeration items containing carbon elements such as freon and dichloromethane. Determining the carbon emission information of the target warehouse based on the refrigerant consumption can accurately analyze the storage carbon emission of the target items and improve the accuracy of determining the carbon emission information of the items.

[0093] According to an embodiment of the present disclosure, the resource consumption of the fire-fighting item consumption type may include the consumption of fire-fighting items in fire-fighting equipment. The fire-fighting items may include, for example, any type of fire-fighting materials such as carbon dioxide, heptafluoromethane, and hexafluoromethane.

[0094] According to an embodiment of the present 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 item consumption type, and the warehouse carbon emission information of the target warehouse may be determined based on any one or more resource consumption types and the resource consumption amount of each resource consumption type. The embodiments of the present disclosure will not be repeated here.

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

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

[0097] For example, the user resource consumption related to the user can be determined based on the ratio between the product of the target warehouse's resource consumption, usage area, and usage period, and the product of the target warehouse's preset storage area and warehouse utilization rate. The resource consumption and the corresponding carbon emission factor are processed based on the carbon accounting formula to obtain the warehouse carbon emission information related to the user. The item storage carbon emission information related to the target item in the item order can be determined based on the product of the target item occupancy attribute and the target storage period, and the ratio between the warehouse carbon emission information related to the user.

[0098] According to an embodiment of the present disclosure, the above method for determining carbon emission information of items in an order may also include: in response to an interactive operation on a resource consumption type element, updating the resource consumption type of the target warehouse to obtain an updated resource consumption type.

[0099] According to an embodiment of the present disclosure, the resource consumption type element can be any type of interactive element such as a tab, input box, etc. displayed in the interactive interface. Any resource consumption type can be added, deleted or modified based on the interactive operation on the resource consumption type element. Thus, the carbon emission accounting system related to the target warehouse can be used to add, delete or modify any resource consumption type based on the interactive operation. Therefore, according to the method provided in the embodiment of the present disclosure, the warehouse carbon emission information of the target warehouse can be calculated based on the updated resource consumption type, thereby improving the refined carbon emission management and evaluation for diversified target warehouses and improving the carbon emission optimization performance.

[0100] Figure 4 A schematic diagram of a warehouse carbon emission management interface according to an embodiment of the present disclosure is schematically shown.

[0101] like Figure 4 As shown, the warehouse carbon emission management interface 400 may include a total list 410 of carbon emission source types and a target list 420 of carbon emission source types. The total list 410 of carbon emission source types may include multiple resource consumption type elements, including fixed facility diesel, natural gas, purchased electricity, purchased heat, firefighting equipment, and refrigerant. The user can perform interactive operations by clicking the selection boxes in front of the two resource consumption type elements, natural gas and purchased electricity, to thereby add natural gas resource consumption types and electricity resource consumption types. The target list 420 of carbon emission source types may add the resource consumption types configured by the user for the target warehouse in the target list 420 of carbon emission source types according to the user's interactive operations. When the user operates the confirmation virtual button in the warehouse carbon emission management interface 400, four resource consumption types, including fixed facility diesel, natural gas, purchased electricity, and firefighting equipment, may be obtained. When the user operates the cancel virtual button in the warehouse carbon emission management interface 400, the two resource consumption types, natural gas and purchased electricity, may be deleted from the target list 420 of carbon emission source types. In this way, the resource consumption type of the target warehouse can be flexibly configured, so as to facilitate the subsequent refined determination of the warehouse carbon emission information of the target warehouse.

[0102] According to an embodiment of the present disclosure, the power resource consumption type may further include a clean energy consumption subtype. The clean energy consumption subtype may characterize the power consumption of electric energy generated by clean energy such as solar energy, wind energy, hydrogen fuel, etc. that does not generate carbon emissions.

[0103] According to an embodiment of the present disclosure, determining the warehouse carbon emission information of the target warehouse based on the resource consumption corresponding to the resource consumption type of the target warehouse may also 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 an embodiment of the present disclosure, the carbon emission reduction amount of a warehouse can be determined based on information such as the power area emission reduction factor, the warehouse operation period of the target warehouse, etc. Further, the carbon emission reduction amount of the object storage generated by the storage of the target object in the target warehouse can be determined based on the target object occupancy attribute, the target storage period, and the carbon emission reduction amount of the warehouse. It can be understood that the carbon emission information of the object warehouse can include the carbon emission reduction amount of the object storage.

[0105] In one example, an item order may include multiple waybill information, and the item storage carbon emission reduction and item storage carbon emission of each waybill information may be calculated respectively to determine the item carbon emission information of the target item in the item order.

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

[0107] According to an embodiment of the present disclosure, the item storage carbon emission information displayed in the interactive interface may include at least one of the carbon emissions and carbon emission reductions of the target item, so that the user can timely understand the carbon emission details of the target item in the item order.

[0108] According to the embodiments of the present disclosure, the carbon emission information of the storage of goods can be displayed based on any display method such as numerical values, text, line graphs, curve graphs, statistical tables, etc. The embodiments of the present disclosure do not limit the specific display method of displaying the carbon emission information of the storage of goods.

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

[0110] According to an embodiment of the present disclosure, the carbon emission trajectory (or carbon emission footprint) of an item order may characterize the item carbon emission information of a target item in an item order in each target warehouse. Alternatively, the carbon emission trajectory of an item order may also characterize the item carbon emission information of each of multiple item orders. The item carbon emission information may be determined based on the item storage carbon emission information. Alternatively, the item carbon emission information may also include multiple types of carbon emission information such as item storage carbon emission information and item transportation carbon emission information.

[0111] According to the embodiments of the present disclosure, the carbon emission information of items can be displayed based on any display method such as numerical values, text, line graphs, curve graphs, statistical tables, etc. The embodiments of the present disclosure do not limit the specific display method of displaying the carbon emission information of items.

[0112] According to the embodiments of the present disclosure, the carbon emission trajectory of the item order can be displayed based on any display method such as numerical value, text, line chart, curve chart, statistical table, etc. The embodiments of the present disclosure do not limit the specific display method of displaying the carbon emission trajectory of the item order.

[0113] Figure 5 A schematic diagram of an order carbon footprint display interface according to an embodiment of the present disclosure is schematically shown.

[0114] like Figure 5As shown, the order carbon footprint display interface 500 may include a first display frame 510, a second display frame 520, a third display frame 530, and a fourth display frame 540. The first display frame 510 may display the carbon emission trajectory of the item order generated during the transportation of the target item in the item order. The item carbon emission information includes 1kg of aviation carbon emissions, 10kg of railway carbon emissions, 10kg of highway carbon emissions, 1kg of warehousing carbon emissions, and 10kg of last-mile carbon emissions.

[0115] The second display frame 520 may include the logistics process of the item order, the mileage of the target item is 133km, the number of items is 1, and the weight of the item is 1kg. The third display frame 530 may display that the waybill number of the target item in the item order is 00001, the vehicle model for transporting the target item is a truck, the departure and destination of the logistics process are City A and City B respectively, and the storage time of the target item is 1 day. The fourth display frame 540 may display the carbon emission information of the item in a list to improve the display accuracy of the carbon emission trajectory of the item order.

[0116] According to the method for determining carbon emission information of items in an order provided by an embodiment of the present disclosure, the carbon emission reduction of the target item in the last mile transportation process of the item order can also be determined. The carbon emission reduction of the target item in the last mile transportation process can be determined based on the carbon emission reduction factor of the transportation vehicle type and the mileage.

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

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

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

[0120] The item storage carbon emission information acquisition module 620 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.

[0121] According to an embodiment of the present disclosure, the target warehouse data obtaining 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 according to the item order.

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

[0124] According to an embodiment of the present 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 logistics type fields related to each of the multiple storage nodes in the logistics process according to the waybill information, wherein the multiple logistics type fields include a comparison type field, and the comparison type field indicates that the target item is not stored in the warehouse of the comparison storage node, and the comparison storage node is associated with the comparison type field.

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

[0127] According to an embodiment of the present disclosure, the comparison type field includes at least one of the following: a tractor type field and a container type field.

[0128] According to an embodiment of the present disclosure, the target storage data includes a target storage period and a target item occupancy attribute, and the target item occupancy attribute represents the storage resources occupied by the target item stored in the target warehouse.

[0129] According to an embodiment of the present disclosure, the item storage carbon emission information obtaining module 620 includes: a time period warehouse carbon emission information determining submodule and an item storage carbon emission information determining submodule.

[0130] The period warehouse carbon emission information determination submodule is used to determine the period warehouse carbon emission information of the target warehouse in the target storage period based on the target storage period and the warehouse carbon emission information.

[0131] The item storage carbon emission information determination submodule is used to determine the item storage carbon emission information of the target item stored in the target warehouse based on the target item occupancy attribute and the warehouse carbon emission information during the time period.

[0132] According to an embodiment of the present disclosure, the target item occupancy attribute includes at least one of the following: target item weight, target item volume, and target item floor space.

[0133] According to an embodiment of the present disclosure, the warehouse carbon emission information is determined based on the following operation: 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.

[0134] According to an embodiment of the present disclosure, the above-mentioned device also includes an updating module.

[0135] The updating module is used to update the resource consumption type of the target warehouse in response to the interactive operation on the resource consumption type element to obtain the updated resource consumption type.

[0136] According to an embodiment of the present disclosure, the resource consumption type includes at least one of the following: an electric power resource consumption type, a fossil energy consumption type, a refrigerant consumption type, and a fire-fighting item consumption type.

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

[0138] According to an embodiment of the present disclosure, determining the warehouse carbon emission information of the 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 an embodiment of the present disclosure, the above-mentioned device further includes: a first display module and / or a second display module.

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

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

[0142] According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits, or at least part of the functions of any one of them can be implemented in one module. According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits can be split into multiple modules for implementation. According to the embodiments of the present invention, any one or more of the modules, submodules, units, and subunits can be at least partially implemented as hardware circuits, such as field programmable gate arrays (FPGAs), programmable logic arrays (PLAs), systems on chips, systems on substrates, systems on packages, application specific integrated circuits (ASICs), or can be implemented by hardware or firmware in any other reasonable way of integrating or packaging circuits, or can be implemented in any one of the three implementation methods of software, hardware, and firmware, or in any appropriate combination of any of them. Alternatively, according to the embodiments of the present invention, one or more of the modules, submodules, units, and subunits can be at least partially implemented as computer program modules, and when the computer program modules are run, the corresponding functions can be performed.

[0143] For example, any multiple of the target storage data acquisition module 610 and the item storage carbon emission information acquisition module 620 can be combined in one module / unit / sub-unit for implementation, or any one of the modules / units / sub-units can be split into multiple modules / units / sub-units. Alternatively, at least part of the functions of one or more of these modules / units / sub-units can be combined with at least part of the functions of other modules / units / sub-units and implemented in one module / unit / sub-unit. According to an embodiment of the present disclosure, at least one of the target storage data acquisition module 610 and the item storage carbon emission information acquisition module 620 can be at least partially implemented as a hardware circuit, 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 a package, an application specific integrated circuit (ASIC), or can be implemented by hardware or firmware such as any other reasonable way of integrating or packaging the circuit, or implemented in any one of the three implementation methods of software, hardware and firmware or in an appropriate combination of any of them. Alternatively, at least one of the target warehouse data acquisition module 610 and the item warehouse carbon emission information acquisition module 620 may be at least partially implemented as a computer program module, which may perform corresponding functions when the computer program module is executed.

[0144] It should be noted that the device part for determining the carbon emission information of items in an order in the embodiments of the present disclosure corresponds to the method part for determining the carbon emission information of items in an order in the embodiments of the present disclosure. The description of the device part for determining the carbon emission information of items in an order specifically refers to the method part for determining the carbon emission information of items in an order, which will not be repeated here.

[0145] Figure 7 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 is schematically shown. Figure 7 The electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present disclosure.

[0146] like Figure 7As shown, the 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 part 708 to a random access memory (RAM) 703. The processor 701 may include, for example, a general-purpose microprocessor (such as a CPU), an instruction set processor and / or a related chipset and / or a special-purpose microprocessor (for example, an application-specific integrated circuit (ASIC)), etc. The processor 701 may also include an 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] In RAM 703, various programs and data required for the operation of electronic device 700 are stored. Processor 701, ROM 702 and RAM 703 are connected to each other via bus 704. Processor 701 performs various operations of the method flow according to the embodiment of the present disclosure by executing the program in ROM 702 and / or RAM 703. It should be noted that the program can also be stored in one or more memories other than ROM 702 and RAM 703. Processor 701 can also perform various operations of the method flow according to the embodiment of the present disclosure by executing the program stored in the one or more memories.

[0148] According to an embodiment of the present disclosure, the electronic device 700 may further include an input / output (I / O) interface 705, which is also connected to the bus 704. The electronic device 700 may further include one or more of the following components connected to the input / output (I / O) interface 705: an input portion 706 including a keyboard, a mouse, etc.; an output portion 707 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage portion 708 including a hard disk, etc.; and a communication portion 709 including a network interface card such as a LAN card, a modem, etc. The communication portion 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 magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, etc., is installed on the drive 710 as needed, so that a computer program read therefrom is installed into the storage portion 708 as needed.

[0149] According to an embodiment of the present disclosure, the method flow according to an embodiment of the present disclosure can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a computer-readable storage medium, and the computer program contains a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part 709, and / or installed from the removable medium 711. When the computer program is executed by the processor 701, the above-mentioned functions defined in the system of the embodiment of the present disclosure are executed. According to an embodiment of the present disclosure, the system, equipment, device, module, unit, etc. described above can be implemented by a computer program module.

[0150] The present disclosure also provides a computer-readable storage medium, which may be included in the device / apparatus / system described in the above embodiments; or may exist independently without being assembled into the device / apparatus / system. The above computer-readable storage medium carries one or more programs, and when the above one or more programs are executed, the method according to the embodiment of the present disclosure is implemented.

[0151] According to an embodiment of the present disclosure, the computer-readable storage medium may be a non-volatile computer-readable storage medium. For example, it may include, but is not limited to: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in combination with an instruction execution system, apparatus, or device.

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

[0153] An embodiment of the present disclosure also includes a computer program product, which includes a computer program, which contains program code for executing the method provided by the embodiment of the present 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 method provided by the embodiment of the present disclosure for determining the carbon emission information of items in an order.

[0154] When the computer program is executed by the processor 701, the above functions defined in the system / device of the embodiment of the present disclosure are executed. According to the embodiment of the present disclosure, the system, device, module, unit, etc. described above can be implemented by a computer program module.

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

[0156] According to an embodiment of the present disclosure, the program code for executing the computer program provided by the embodiment of the present disclosure can be written in any combination of one or more programming languages. Specifically, these computing programs can be implemented using high-level process and / or object-oriented programming languages, and / or assembly / machine languages. Programming languages ​​include, but are not limited to, Java, C++, python, "C" language or similar programming languages. The program code can be executed entirely on the user computing device, partially on the user device, partially on the remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device can be connected to the user computing device through any type of network, including a local area network (LAN) or a wide area network (WAN), or can be connected to an external computing device (for example, using an Internet service provider to connect through the Internet).

[0157] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each box in the flowchart or block diagram may represent a module, a program segment, or a part of a code, and the above-mentioned module, program segment, or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box may also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions. It can be understood by those skilled in the art that the features recorded in the various embodiments of the present disclosure can be combined and / or combined in a variety of ways, even if such a combination or combination is not explicitly recorded in the present disclosure. In particular, without departing from the spirit and teaching of the present disclosure, the features described in the various embodiments of the present disclosure may be combined and / or combined in a variety of ways. All of these combinations and / or combinations fall within the scope of the present disclosure.

[0158] The embodiments of the present disclosure are described above. However, these embodiments are only for illustrative purposes and are not intended to limit the scope of the present disclosure. Although the embodiments are described above, this does not mean that the measures in the various embodiments cannot be used in combination to advantage. Without departing from the scope of the present disclosure, those skilled in the art may make a variety of substitutions and modifications, which should all fall within the scope of the present disclosure.

Claims

1. 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 a target item in a logistics process according to the item order; as well as Based on the target storage data and the warehouse carbon emission information related to the target warehouse, performing storage carbon emission analysis on the target item to obtain the item storage carbon emission information of the target item; The target storage data includes a target storage period and a target item occupancy attribute, wherein the target item occupancy attribute represents the storage resources occupied by the target item stored in the target warehouse; The performing 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 includes: Determining the warehouse carbon emission information of the target warehouse during the target storage period based on the target storage period and the warehouse carbon emission information; and Based on the occupancy attribute of the target item and the carbon emission information of the warehouse during the time period, the object storage carbon emission information of the target item stored in the target warehouse is determined.

2. The method according to claim 1, wherein: Determining the target storage data of the target item in the logistics process according to the item order includes: Determining the waybill information of the target item according to the item order; and According to the waybill information, target storage data of at least one storage node of the target item in the logistics process is determined.

3. The method according to claim 2, wherein: Determining, based on the waybill information, target storage data of at least one storage node of the target item in the logistics process includes: Determine, according to the waybill information, logistics type fields respectively related to the plurality of storage nodes in the logistics process, wherein the plurality of logistics type fields include a comparison type field, the comparison type field indicates that the target item is not stored in a warehouse at the comparison node, and the comparison node is associated with the comparison type field; Based on the comparison type field, target storage data of a target storage node is determined from the storage data of the plurality of storage nodes, wherein the target item is stored in a 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 item occupancy attribute includes at least one of the following: Target item weight, target item volume, and target item floor space.

6. The method according to claim 1, wherein: The warehouse carbon emission information is determined based on the following operations: The resource consumption amount and the carbon emission factor corresponding to the resource consumption type of the target warehouse are processed based on the carbon emission accounting formula to obtain the warehouse carbon emission information of the target warehouse.

7. The method according to claim 6, further comprising: In response to the interactive operation on the resource consumption type element, the resource consumption type is updated on the target warehouse to obtain the updated resource consumption type.

8. The method according to claim 6, wherein: The resource consumption type includes at least one of the following: Electricity resource consumption type, fossil energy consumption type, refrigerant consumption type, fire-fighting item consumption type.

9. The method according to claim 8, wherein: The power resource consumption type also includes a clean energy consumption subtype, Wherein, based on the resource consumption amount corresponding to the resource consumption type of the target warehouse, determining the warehouse carbon emission information of the target warehouse includes: Based on the clean energy consumption corresponding to the clean energy consumption subtype, the warehouse carbon emission reduction of the target warehouse is determined, wherein the warehouse carbon emission information includes the warehouse carbon emission reduction.

10. The method according to any one of claims 1 to 9, further comprising: Displaying the storage carbon emission information of the items in the interactive interface; and / or The carbon emission trajectory of the item order generated based on the item warehousing carbon emission information is displayed in the interactive interface.

11. A device for determining carbon emission information of items in an order, comprising: A target storage data acquisition module, configured to, in response to obtaining an item order, determine target storage data of the target item in the logistics process according to the item order; as well as An 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, so as to obtain the item storage carbon emission information of the target item; The target storage data includes a target storage period and a target item occupancy attribute, wherein the target item occupancy attribute represents the storage resources occupied by the target item stored in the target warehouse; The module for obtaining carbon emission information of goods storage includes: a period warehouse carbon emission information determination submodule, configured to determine the period warehouse carbon emission information of the target warehouse during the target storage period based on the target storage period and the warehouse carbon emission information; and The item storage carbon emission information determination submodule is used to determine the item storage carbon emission information of the target item stored in the target warehouse based on the occupancy attribute of the target item and the warehouse carbon emission information of the time period.

12. An electronic device comprising: one or more processors; a memory for storing 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 according to any one of claims 1 to 10.

13. A computer-readable storage medium having executable instructions stored thereon, which, when executed by a processor, enables the processor to implement the method according to any one of claims 1 to 10.

14. A computer program product comprising a computer program, which, when executed by a processor, implements the method according to any one of claims 1 to 10.

Images