Method and device for determining multimodal transport carbon emission

Abstract

The embodiment of the invention discloses a multimodal transportation carbon emission determination method and device, and the method comprises the steps: determining the first carbon emission of a target cargo in each transportation stage based on the freight volume of the target cargo, and the transportation mode and transportation distance of the target cargo in each transportation stage of a multimodal transportation process; based on the freight volume of the target cargo and the transit time between the transportation stages, determining a second carbon emission amount of the target cargo between the transportation stages; and based on the first carbon emission amount and the second carbon emission amount, determining the total carbon emission amount of the target cargo in the multimodal transport process. According to the embodiment of the invention, the total carbon emission amount of the target cargo in the multimodal transport process can be accurately calculated.

Description

Technical Field

[0001] The present disclosure relates to blockchain technology, identity resolution technology and multimodal transport technology, and in particular to a method and device for determining carbon emissions from multimodal transport. Background Art

[0002] Global climate change has become one of the important issues in the world, and carbon emissions, as one of the main factors of climate change, have always attracted much attention. In the context of globalization, logistics has become an important support for economic development and the third largest carbon dioxide emitter after industry and construction.

[0003] Intermodal transport is a centralized mode of transport, which combines multiple modes of transport (such as road, rail, water and air transport) to transport goods. Intermodal transport relies on information technology, including: Transportation Management System (TMS), Warehouse Management System (WMS), Global Positioning System (GPS), Electronic data interchange (EDI), etc. These technologies can achieve real-time tracking of goods, transportation process monitoring, data sharing and exchange, and ensure the transparency and efficiency of the entire transportation process.

[0004] Compared with a single mode of transport, multimodal transport has a wider range of transport and higher transport efficiency, and can adapt to the requirements of different regions and different transport needs. Multimodal transport is becoming the main organizational form of transport business activities and the main development trend of future logistics. Therefore, in order to improve the carbon emission efficiency of multimodal transport and reduce the energy consumption of transport, exploring how to measure the carbon emissions and emission efficiency of multimodal transport has practical significance for accelerating the realization of green and low-carbon logistics.

[0005] Since multimodal transport business involves different modes of transport such as railways, roads, sea and aviation, as well as all parties involved in international multimodal transport, and due to the large number of transport modes and parties involved, different transport parties use different carbon emission calculation methods, resulting in different carbon emission data results. Summary of the invention

[0006] The embodiments of the present disclosure provide a method and device for determining carbon emissions of multimodal transport to solve the above-mentioned problems.

[0007] A first aspect of an embodiment of the present disclosure provides a method for determining carbon emissions from multimodal transport, comprising:

[0008] Determine the first carbon emission of the target cargo at each transportation stage based on the cargo volume of the target cargo and the transportation mode and transportation distance of the target cargo at each transportation stage in the multimodal transport process;

[0009] Determine, based on the freight volume of the target cargo and the transit time between the transportation stages, a second carbon emission amount of the target cargo between the transportation stages;

[0010] Based on the first carbon emissions and the second carbon emissions, the total carbon emissions of the target cargo during the multimodal transport process are determined.

[0011] In some embodiments of the present disclosure, determining the first carbon emissions of the target cargo at each transportation stage based on the cargo volume of the target cargo and the transportation mode and transportation distance of the target cargo at each transportation stage in the multimodal transport process includes:

[0012] Based on the transportation mode of each transportation stage, determine the energy consumption per unit transportation distance and the carbon emission coefficient of the corresponding fuel used in each transportation stage;

[0013] The first carbon emissions are determined based on the energy consumption per unit transportation distance and the carbon emission coefficient of the corresponding fuel used in each transportation stage, and the transportation distance of each transportation stage.

[0014] In some embodiments of the present disclosure, determining the second carbon emissions of the target cargo between the transportation stages based on the cargo volume of the target cargo and the transit time between the transportation stages includes:

[0015] The second carbon emission is determined based on the freight volume of the target cargo, the transit time between the transportation stages, and the transshipment carbon emission coefficient between the transportation stages.

[0016] In some embodiments of the present disclosure, after determining the total carbon emissions of the target cargo in the multimodal transport process based on the first carbon emissions and the second carbon emissions, the method further includes:

[0017] The carbon emission cost of the target cargo in the multimodal transport process is determined based on the total carbon emission of the target cargo in the multimodal transport process and the carbon tax of each region in which the multimodal transport process passes.

[0018] In some embodiments of the present disclosure, before determining the first carbon emissions of the target cargo at each transportation stage based on the cargo volume of the target cargo and the transportation mode and transportation distance of the target cargo at each transportation stage of the multimodal transport process, the method further includes:

[0019] Based on the industrial Internet identification of the target goods, the carbon emission data of each transportation stage is read from the blockchain, wherein the industrial Internet identification collects the carbon emission data of each transportation stage based on an active identification carrier, and the carbon emission data includes: a transportation tool type parameter for determining a mode of transportation, and a carbon data model parameter for calculating the first carbon emission amount.

[0020] In some embodiments of the present disclosure, it further includes:

[0021] In response to receiving a carbon efficiency evaluation request sent by a terminal, determining carrier information based on an identity identifier of the carrier, wherein the carbon efficiency evaluation request includes the identity identifier;

[0022] Based on the carrier information, obtaining target carbon emission data corresponding to the carbon efficiency evaluation request from the blockchain;

[0023] Performing carbon efficiency evaluation based on the target carbon emission data to obtain a carbon efficiency evaluation result;

[0024] The carbon efficiency evaluation result is fed back to the terminal, and the carbon efficiency evaluation result is stored in the blockchain.

[0025] In some embodiments of the present disclosure, it further includes:

[0026] Sending a node application request to a multimodal transport secondary node in the alliance chain, so that after the multimodal transport secondary node passes the identity authentication of the multimodal transport carbon emission data platform, a new node is created for the multimodal transport carbon emission data platform in the alliance chain, wherein the node application request includes the identity information of the multimodal transport carbon emission data platform;

[0027] Sending application information to at least one multimodal transport enterprise node in the alliance chain through the new node;

[0028] In response to the new node receiving a reply from the at least one multimodal transport enterprise node regarding the application information, the number of reply nodes is greater than a preset number of nodes, and it is determined that the multimodal transport carbon emission data platform joins the alliance chain.

[0029] In some embodiments of the present disclosure, the node application request also includes the public key address of the multimodal carbon emission data platform; the alliance chain is also used to write the public key address of the multimodal carbon emission data platform into the header registry of the alliance chain and broadcast it within the alliance chain.

[0030] A second aspect of the embodiments of the present disclosure provides a device for determining carbon emissions from multimodal transport, comprising:

[0031] A first determination module is used to determine the first carbon emission of the target cargo at each transportation stage based on the cargo volume of the target cargo and the transportation mode and transportation distance of the target cargo at each transportation stage in the multimodal transport process;

[0032] A second determination module is used to determine a second carbon emission amount of the target cargo between the transportation stages based on the cargo volume of the target cargo and the transit time between the transportation stages;

[0033] The third determination module is used to determine the total carbon emissions of the target cargo in the multimodal transport process based on the first carbon emissions and the second carbon emissions.

[0034] In some embodiments of the present disclosure, the first determination module is used to determine the energy consumption per unit transportation distance and the carbon emission coefficient of the corresponding fuel used in each transportation stage based on the transportation mode of each transportation stage; the first determination module is also used to determine the first carbon emissions based on the energy consumption per unit transportation distance and the carbon emission coefficient of the corresponding fuel used in each transportation stage, and the transportation distance of each transportation stage.

[0035] In some embodiments of the present disclosure, the second determination module is used to determine the second carbon emissions based on the freight volume of the target cargo, the transit time between the transportation stages, and the transshipment carbon emission coefficient between the transportation stages.

[0036] In some embodiments of the present disclosure, the device further comprises:

[0037] The fourth determination module is used to determine the carbon emission cost of the target cargo in the multimodal transport process based on the total carbon emission of the target cargo in the multimodal transport process and the carbon tax of each region through which the multimodal transport process passes.

[0038] In some embodiments of the present disclosure, the device further comprises:

[0039] An acquisition module is used to read the carbon emission data of each transportation stage from the blockchain based on the industrial Internet identification of the target goods, wherein the industrial Internet identification collects the carbon emission data of each transportation stage based on an active identification carrier, and the carbon emission data includes: a transportation tool type parameter for determining a mode of transportation, and a carbon data model parameter for calculating the first carbon emission amount.

[0040] In some embodiments of the present disclosure, the device further comprises:

[0041] A carbon efficiency evaluation module is used to determine the carrier information based on the carrier's identity in response to receiving a carbon efficiency evaluation request sent by a terminal, wherein the carbon efficiency evaluation request includes the identity; the carbon efficiency evaluation module is also used to obtain the target carbon emission data corresponding to the carbon efficiency evaluation request from the blockchain based on the carrier information; the carbon efficiency evaluation module is also used to perform carbon efficiency evaluation based on the target carbon emission data to obtain a carbon efficiency evaluation result; the carbon efficiency evaluation module is also used to feed back the carbon efficiency evaluation result to the terminal, and store the carbon efficiency evaluation result in the blockchain.

[0042] In some embodiments of the present disclosure, the device further comprises:

[0043] The alliance chain node application module is used to send a node application request to the multimodal transport secondary node in the alliance chain, so that after the multimodal transport secondary node passes the identity authentication of the multimodal transport carbon emission data platform, a new node is created for the multimodal transport carbon emission data platform in the alliance chain, wherein the node application request includes the identity information of the multimodal transport carbon emission data platform; the alliance chain node application module is also used to send application information to at least one multimodal transport enterprise node in the alliance chain through the new node; the alliance chain node application module is also used to determine that the multimodal transport carbon emission data platform joins the alliance chain in response to the number of reply nodes received by the new node from the at least one multimodal transport enterprise node for the application information being greater than a preset number of nodes.

[0044] In some embodiments of the present disclosure, the node application request also includes the public key address of the multimodal carbon emission data platform; the alliance chain is also used to write the public key address of the multimodal carbon emission data platform into the header registry of the alliance chain and broadcast it within the alliance chain.

[0045] According to a third aspect of the present disclosure, an electronic device is provided, including:

[0046] a memory for storing a computer program product;

[0047] The processor is used to execute the computer program product stored in the memory, and when the computer program product is executed, the method described in the first aspect above is implemented.

[0048] According to a fourth aspect of the embodiments of the present disclosure, a computer-readable storage medium is provided, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the method described in the first aspect is implemented.

[0049] The method and device for determining the carbon emissions of intermodal transport in the embodiments of the present invention, since carbon dioxide will be emitted in each transportation stage and the transit stage between each transportation stage during the multimodal transport of the target cargo, the first carbon emissions of each transportation stage can be calculated according to the freight volume of the target cargo, and the transportation mode and transportation distance of the target cargo in each transportation stage during the multimodal transport process, and the second carbon emissions between each transportation stage can be calculated according to the freight volume of the target cargo and the transit time between each transportation stage, and then the total carbon emissions of the target cargo in the multimodal transport process can be accurately calculated according to the first carbon emissions and the second carbon emissions.

[0050] The technical solution of the present disclosure is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] The accompanying drawings, which constitute a part of the specification, illustrate embodiments of the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0052] The present disclosure may be more clearly understood from the following detailed description with reference to the accompanying drawings, in which:

[0053] Figure 1 It is a flowchart of a method for determining carbon emissions of multimodal transport in one embodiment of the present disclosure;

[0054] Figure 2 is a flowchart of step S1 in some embodiments of the present disclosure;

[0055] Figure 3 is a schematic diagram of an industrial Internet identification of a target product in an example of the present disclosure;

[0056] Figure 4 It is a schematic diagram of data interaction based on industrial Internet identification in an example of the present disclosure;

[0057] Figure 5 is a schematic diagram of a node admission process of a multimodal transport participant based on a consortium chain in some embodiments of the present disclosure;

[0058] Figure 6 is a structural block diagram of a device for determining carbon emissions of multimodal transport in some embodiments of the present disclosure;

[0059] Figure 7 is a structural block diagram of a device for determining carbon emissions of multimodal transport in other embodiments of the present disclosure;

[0060] Figure 8 The structure block diagram of an electronic device in one embodiment of the present disclosure is shown in FIG. DETAILED DESCRIPTION

[0061] Various exemplary embodiments of the present disclosure will now be described in detail with reference to the accompanying drawings. It should be noted that the relative arrangement of components and steps, numerical expressions and numerical values ​​set forth in these embodiments do not limit the scope of the present disclosure unless otherwise specifically stated.

[0062] Those skilled in the art can understand that the terms "first" and "second" in the embodiments of the present disclosure are only used to distinguish different steps, devices or modules, etc., and neither represent any specific technical meaning nor indicate the necessary logical order between them.

[0063] It should also be understood that in the embodiments of the present disclosure, “plurality” may refer to two or more than two, and “at least one” may refer to one, two, or more than two.

[0064] It should also be understood that any component, data or structure mentioned in the embodiments of the present disclosure can generally be understood as one or more, unless explicitly limited or otherwise indicated in the context.

[0065] In addition, the term "and / or" in the present disclosure is only a description of the association relationship of associated objects, indicating that three relationships may exist. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in the present disclosure generally indicates that the associated objects before and after are in an "or" relationship.

[0066] It should also be understood that the description of the various embodiments in the present disclosure focuses on the differences between the various embodiments, and the same or similar aspects thereof can be referenced to each other, and for the sake of brevity, they will not be described one by one.

[0067] The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the present disclosure, its application, or uses.

[0068] Technologies, methods, and equipment known to ordinary technicians in the relevant art may not be discussed in detail, but where appropriate, the technologies, methods, and equipment should be considered part of the specification.

[0069] It should be noted that like reference numerals and letters refer to similar items in the following figures, and therefore, once an item is defined in one figure, it need not be further discussed in subsequent figures.

[0070] The embodiments of the present disclosure can be applied to electronic devices such as terminal devices, computer systems, servers, etc., which can operate with many other general or special computing system environments or configurations. Examples of well-known terminal devices, computing systems, environments and / or configurations suitable for use with electronic devices such as terminal devices, computer systems, servers, etc. include, but are not limited to: personal computer systems, server computer systems, thin clients, thick clients, handheld or laptop devices, microprocessor-based systems, set-top boxes, programmable consumer electronics, network personal computers, small computer systems, large computer systems, and distributed cloud computing technology environments including any of the above systems, etc.

[0071] Electronic devices such as terminal devices, computer systems, servers, etc. can be described in the general context of computer system executable instructions (such as program modules) executed by computer systems. Generally, program modules can include routines, programs, object programs, components, logic, data structures, etc., which perform specific tasks or implement specific abstract data types. Computer systems / servers can be implemented in a distributed cloud computing environment, where tasks are performed by remote processing devices linked through a communication network. In a distributed cloud computing environment, program modules can be located on local or remote computing system storage media including storage devices.

[0072] Figure 1 FIG. 1 is a flow chart of a method for determining carbon emissions from multimodal transport in one embodiment of the present disclosure. Figure 1 As shown, the method for determining the carbon emissions of multimodal transport includes the following steps:

[0073] S1: Based on the freight volume of the target goods, and the transportation mode and transportation distance of the target goods in each transportation stage of the multimodal transport process, determine the first carbon emissions of the target goods in each transportation stage.

[0074] The target goods may be a batch of goods transported by multimodal transport, for example, a batch of goods transported from region A to region B by multimodal transport.

[0075] In one example of the present disclosure, the multimodal transport process of the target cargo includes: water transport -> road transport 1 -> rail transport -> road transport 2. Among them, water transport includes transporting containers of the target cargo by cargo ship transport. Road transport 1 includes transporting containers of the target cargo by large truck transport. Railway transport includes transporting multiple packaging boxes of the target cargo by rail transport. Road transport 2 includes transporting multiple packaging boxes of the target cargo by small and medium-sized train transport. In addition, the multimodal transport process of the target cargo may also include: the transport process from the shipping warehouse of the target cargo to the water transport departure point, and the transport process from the destination of road transport 2 (such as a logistics warehouse) to a specific delivery address by a cargo flow vehicle, and so on.

[0076] The waybill number of the target goods, the freight volume, the transportation mode and transportation distance of each transportation stage of the multimodal transport, and other information are stored in the network, for example, they can be stored in the blockchain network. Among them, the waybill number of the target goods is associated with the freight volume of the target goods, the transportation mode and transportation distance of each transportation stage of the multimodal transport, and other information. By querying the waybill number of the target goods in the network, the freight volume of the target goods, as well as the transportation mode and transportation distance of the target goods in each transportation stage of the multimodal transport process can be obtained.

[0077] According to the transportation mode of the target goods in each transportation stage of the multimodal transport process, the carbon emissions per unit freight volume and per unit transportation distance of each transportation stage can be obtained. For example, the carbon emissions per ton of goods per nautical mile can be obtained through the water transportation mode of the target goods in multimodal transport, and the carbon emissions per ton of goods per kilometer in the railway transportation process can be obtained through the railway transportation mode of the target goods in multimodal transport, and so on.

[0078] According to the freight volume of the target goods and the transportation distance of the carbon emissions per unit freight volume per unit transportation distance in each transportation stage, the carbon emissions of the target goods in each transportation stage can be obtained, which is recorded as the first carbon emissions.

[0079] S2: Based on the freight volume of the target cargo and the transit time between each transportation stage, determine the second carbon emissions of the target cargo between each transportation stage.

[0080] Since carbon dioxide is also emitted during the cargo transshipment process of multimodal transport, it is necessary to calculate the carbon emissions of the target cargo during each transshipment process of multimodal transport, that is, the carbon emissions between transportation stages.

[0081] The carbon emissions per unit time and per unit freight volume between each transport stage can be determined according to the transport mode of the target goods between each transport stage of multimodal transport. For example, if the multimodal transport process of the target goods includes adjacent water transport stage and road transport stage, the carbon emissions per unit time and per unit freight volume between the water transport stage and the road transport stage can be obtained.

[0082] According to the freight volume of the target cargo, as well as the carbon emissions per unit freight volume per unit time and the transit time between each transportation stage, the carbon emissions of the target cargo between each transportation stage can be obtained, which is recorded as the second carbon emissions.

[0083] S3: Determine the total carbon emissions of the target cargo during the multimodal transport process based on the first carbon emissions and the second carbon emissions.

[0084] The first carbon emission amount and the second carbon emission amount may be summed to obtain the total carbon emission amount of the target cargo during the multimodal transport process.

[0085] In this embodiment, since carbon dioxide will be emitted in each transportation stage and the transit stage between each transportation stage during the multimodal transport of the target cargo, the first carbon emissions of each transportation stage can be calculated based on the freight volume of the target cargo, and the transportation mode and transportation distance of the target cargo in each transportation stage of the multimodal transport process, and the second carbon emissions between each transportation stage can be calculated based on the freight volume of the target cargo and the transit time between each transportation stage, and then the total carbon emissions of the target cargo in the multimodal transport process can be accurately calculated based on the first carbon emissions and the second carbon emissions.

[0086] Figure 2 is a flow chart of step S1 in some embodiments of the present disclosure. Figure 2 As shown, step S1 includes the following steps:

[0087] S1-1: Based on the mode of transportation at each transportation stage, determine the energy consumption per unit transportation distance and carbon emission coefficient of the corresponding fuel used at each transportation stage.

[0088] The vehicle for each transportation stage can be determined based on the mode of transportation in each transportation stage. The fuel used by each vehicle can be determined based on the vehicle for each transportation stage. Furthermore, the energy consumption and carbon emission coefficient per unit transportation distance using the corresponding fuel in each transportation stage can be determined based on the vehicle for each transportation stage and the fuel used by each vehicle.

[0089] In one example of the present disclosure, the energy consumption per unit transportation distance and the carbon emission coefficient of the corresponding fuel used in each transportation stage can be calculated by the following formula:

[0090] Q ij =Q 0 +(Qz -Q 0 )×(V 1 / V)

[0091] F i =C i ×O i ×(44 / 12)

[0092] Among them, Q ij represents the energy consumption per unit transportation distance of the i-th mode of transportation using fuel j, Q 0 represents the no-load energy consumption of transportation, Q z represents the energy consumption of transporting full load, V represents the maximum transport load, V 1 Indicates load capacity, F i Represents the carbon emission coefficient of different energy consumption, C i is the carbon content per unit calorific value of the i-th energy fuel, O i is the default CO of fuel i 2 Factor, 44 / 12 is CO 2 The ratio of molecular weight to carbon.

[0093] S1-2: Determine a first carbon emission amount based on the energy consumption per unit transportation distance and the carbon emission coefficient of the corresponding fuel used in each transportation stage, as well as the transportation distance of each transportation stage.

[0094] In one example of the present disclosure, the first carbon emission can be calculated by the following formula:

[0095]

[0096] Among them, E Transport represents the first carbon emission, It represents the energy consumption per unit distance of the i-th mode of transportation using fuel j to transport to point n. Represents the distance from point m to point n using the i-th mode of transportation.

[0097] In this embodiment, the energy consumption per unit transportation distance and the carbon emission coefficient of the corresponding fuel used in each transportation stage can be determined according to the transportation mode of each transportation stage, and the first carbon emission can be calculated quickly and accurately in combination with the transportation distance of each transportation stage.

[0098] In some embodiments of the present disclosure, step S2 may specifically include: determining the second carbon emission based on the freight volume of the target cargo, the transit time between each transportation stage, and the transshipment carbon emission coefficient between each transportation stage.

[0099] In one example of the present disclosure, the second carbon emission can be calculated by the following formula:

[0100]

[0101] Among them, E Transfernode represents the second carbon emission, represents the freight volume transferred from transport mode i to transport mode h, represents the carbon emission coefficient of transport mode h arriving at node m and transshipping using transport mode i, It indicates the time of transfer from transport mode h to transport mode i.

[0102] In this embodiment, the second carbon emissions can be calculated quickly and accurately based on the freight volume of the target cargo, the transit time between each transportation stage, and the transshipment carbon emission coefficient between each transportation stage.

[0103] In some embodiments of the present disclosure, after step S3, the following steps are further included:

[0104] S4: Determine the carbon emission cost of the target goods in the multimodal transport process based on the total carbon emission of the target goods in the multimodal transport process and the carbon tax of each region in the multimodal transport process.

[0105] In one example of the present disclosure, the carbon emission cost of the target cargo in the multimodal transport process can be calculated by the following formula:

[0106] C t =∑∑E total T i

[0107] E total =E Transport +E Transfer node

[0108] Among them, C t represents the carbon emission cost, T i Represents carbon tax.

[0109] In this embodiment, since the carbon emission cost of the multimodal transport process is related to the total carbon emissions and the carbon tax, the carbon emission cost of the target cargo in the multimodal transport process can be quickly and accurately calculated based on the total carbon emissions of the target cargo in the multimodal transport process and the carbon tax of each region through which the multimodal transport process passes.

[0110] In some embodiments of the present disclosure, before step S1, the following steps may also be included:

[0111] S0: Based on the industrial Internet identification of the target goods, read the carbon emission data of each transportation stage from the blockchain. Among them, the industrial Internet identification collects the carbon emission data of each transportation stage based on the active identification carrier. The carbon emission data includes: the type parameters of the transport tool used to determine the mode of transportation, and the carbon data model parameters used to calculate the first carbon emission amount.

[0112] The corresponding industrial Internet logo can be set on the packaging of the target goods (such as containers or packaging boxes). At each stage of the multimodal transport process of the target goods, the active identification carrier technology based on the industrial Internet logo is used to ensure the automatic communication and collection of data, and the blockchain technology is used to ensure reliable data upload.

[0113] Figure 3 FIG. 1 is a schematic diagram of an industrial Internet identifier of a target product in an example of the present disclosure. Figure 3 As shown, the industrial Internet identifier of the target goods may include: an identifier prefix and carbon emission data. Among them, the identifier prefix includes a country code, an industry code and an enterprise code. The carbon emission data includes: a transport type code, a transport cargo name code and a carbon data model that are sequentially separated by identifiers. The transport type code includes: a code for determining the mode of transport, and a code for determining the type of transport. The transport cargo name code includes a code for determining the transport unit. The carbon data model includes carbon data parameters, and the carbon data model is used to calculate the total amount of carbon data and the carbon emission cost.

[0114] In this embodiment, the industrial Internet identifier set on the target goods can be used to automatically collect the carbon emission data of the target goods at each transportation stage during the multimodal transport process based on the active identification carrier, and store it in the blockchain to prevent the carbon emission data from being tampered with and ensure the authenticity of the carbon emission data.

[0115] In some embodiments of the present disclosure, the method for determining the carbon emissions of multimodal transport may further include the following steps:

[0116] S5: In response to receiving the carbon efficiency evaluation request sent by the terminal, determining the carrier information based on the carrier's identity identifier, wherein the carbon efficiency evaluation request includes the identity identifier.

[0117] S6: Based on the carrier information, obtain the target carbon emission data corresponding to the carbon efficiency evaluation request from the blockchain.

[0118] S7: Perform carbon efficiency evaluation based on the target carbon emission data to obtain a carbon efficiency evaluation result.

[0119] S8: Feedback the carbon efficiency evaluation result to the terminal and store the carbon efficiency evaluation result in the blockchain.

[0120] Figure 4FIG. 1 is a schematic diagram of data interaction based on industrial Internet identification in an example of the present disclosure. Figure 4 As shown, the data interaction process may include the following steps:

[0121] 1. Different carriers of multimodal transport submit carbon efficiency evaluation requests through the multimodal transport carbon emission service platform, where the carbon efficiency evaluation request includes the identity of the carrier.

[0122] 2. The multimodal transport carbon emission service platform uses the industrial Internet identity to connect to the national top-level node and conduct identity registration and filing.

[0123] 3. The multimodal transport carbon emission service platform sends an identification resolution request to the recursive node to obtain the enterprise carbon efficiency data. Among them, steps 1-3 correspond to the above steps S4 and S5.

[0124] 4. The recursive node sends an identity resolution request to the node in the blockchain. Specifically:

[0125] 4.1 After receiving the identity resolution request, the recursive node sends an identity resolution request to the national top-level node and receives the secondary node address returned by the national top-level node;

[0126] 4.2 After receiving the secondary node address, the recursive node sends an identity resolution request to the secondary node based on the secondary node address, and receives the enterprise node address returned by the secondary node;

[0127] 4.3 After receiving the enterprise node address, the recursive node sends an identity resolution request to the enterprise node based on the enterprise node address, and accepts the identity resolution result of the industrial Internet identity representing the target goods returned by the enterprise node.

[0128] 5. The recursive node returns the identification resolution result to the multimodal transport carbon emission service platform.

[0129] 6. The multimodal transport carbon emission service platform determines the target carbon emission data corresponding to the submitted carbon efficiency evaluation request based on the identification resolution result, and uses the preset carbon efficiency evaluation method to evaluate the target carbon emission data to obtain the carbon efficiency evaluation result, and returns the carbon efficiency evaluation result to the carrier terminal.

[0130] 7. The multimodal transport carbon emission service platform sends the carbon efficiency evaluation results (i.e., carbon efficiency evaluation results) to the blockchain for verification. Among them, steps 4-7 correspond to the above steps S6 and S7.

[0131] Among them, during the multimodal transport of goods, multimodal transport carbon data is automatically collected through active identification carriers and uploaded to the blockchain.

[0132] In this embodiment, since the active table identification carrier of the industrial Internet identification can actively collect data and upload it to the blockchain during the multimodal transport process, the industrial Internet identification can be used to query the carbon emission data during the multimodal transport process, and carbon efficiency can be evaluated based on the carbon emission data.

[0133] In some embodiments of the present disclosure, the method for determining the carbon emissions of multimodal transport may further include the following steps:

[0134] S9: Send a node application request to the multimodal transport secondary node in the alliance chain, so that after the multimodal transport secondary node passes the identity authentication of the multimodal transport carbon emission data platform, a new node is created for the multimodal transport carbon emission data platform in the alliance chain, wherein the node application request includes the identity information of the multimodal transport carbon emission data platform.

[0135] S10: Send application information to at least one multimodal transport enterprise node in the alliance chain through the new node.

[0136] S11: In response to the new node receiving a reply from at least one multimodal transport enterprise node regarding the application information, the number of reply nodes is greater than a preset number of nodes, and determining that the multimodal transport carbon emission data platform joins the alliance chain.

[0137] Figure 5 FIG. 1 is a schematic diagram of the node admission process of multimodal transport participants based on the alliance chain in some embodiments of the present disclosure. Figure 5 As shown in the figure, the node admission process of multimodal transport participants based on the alliance chain can include the following steps:

[0138] ① The intermodal carbon emission data platform sends a node application request to one of the intermodal enterprise nodes in the alliance chain.

[0139] ② The multimodal transport enterprise node that receives the node application request feeds back the address of the multimodal transport secondary node to the multimodal transport carbon emission data platform.

[0140] ③The intermodal transport carbon emission data platform sends identity information to the multimodal transport secondary node according to the address of the multimodal transport secondary node.

[0141] ④ After the multimodal transport secondary node confirms that the identity of the multimodal transport carbon emission data platform is reliable, a node is created for the multimodal transport carbon emission data platform and broadcasted throughout the alliance chain. Among them, steps ① to ④ correspond to the above step S9.

[0142] ⑤ The multimodal transport carbon emission data platform, as a new node, broadcasts the application information of joining the alliance chain to all multimodal transport enterprise nodes. Among them, step ⑤ corresponds to the above step S10.

[0143] ⑥ If the multimodal transport enterprise node successfully replies to the new node application information, if the number of nodes receiving the multimodal transport enterprise node reply to the application information is greater than the preset number of nodes, it means that the multimodal transport carbon emission data platform system has completed all the processes required to join the alliance chain, and has successfully joined the alliance chain. Among them, step ⑥ corresponds to the above step S11.

[0144] In this embodiment, since multimodal transport involves multiple participants and multiple nodes, each participant needs to ensure the credibility of the organization and data by establishing a trust alliance. Therefore, a new node can be created for it in the alliance chain after identity authentication based on the node application request of the multimodal transport carbon emission data platform, so that multimodal transport can be jointly managed through the alliance chain authorized node cluster.

[0145] In some embodiments of the present disclosure, the node application request also includes the public key address of the multimodal carbon emission data platform; the alliance chain is also used to write the public key address of the multimodal carbon emission data platform into the header registry of the alliance chain and broadcast it within the alliance chain.

[0146] Please refer to Figure 5 In step ③, the multimodal transport carbon emission data platform can also send the public key address of the multimodal transport carbon emission data platform to the multimodal transport secondary node. In step ④, after the multimodal transport secondary node confirms that the identity of the multimodal transport carbon emission data platform is reliable, the public key address of the multimodal transport carbon emission data platform can be written into the alliance chain header registry and broadcast within the alliance chain.

[0147] In this embodiment, when the multimodal transport carbon emission data platform applies for a node to the alliance chain, it can provide its own public key address, so that after the multimodal transport secondary node confirms that the identity of the multimodal transport carbon emission data platform is reliable, the public key address of the multimodal transport carbon emission data platform can be written into the alliance chain header registry to realize the registration of the public key address, which helps to encrypt the communication information within the alliance based on the public key address and improve the security of the communication information.

[0148] Figure 6 is a structural block diagram of a device for determining carbon emissions of multimodal transport in some embodiments of the present disclosure. Figure 6 As shown, the device for determining the carbon emissions of multimodal transport includes:

[0149] A first determination module 100 is used to determine a first carbon emission amount of the target cargo at each transportation stage based on the cargo volume of the target cargo and the transportation mode and transportation distance of the target cargo at each transportation stage in the multimodal transport process;

[0150] A second determination module 200 is used to determine a second carbon emission amount of the target cargo between each transportation stage based on the cargo volume of the target cargo and the transit time between each transportation stage;

[0151] The third determination module 300 is used to determine the total carbon emission of the target cargo in the multimodal transport process based on the first carbon emission amount and the second carbon emission amount.

[0152] In some embodiments of the present disclosure, the first determination module 100 is used to determine the energy consumption per unit transportation distance and the carbon emission coefficient of the corresponding fuel used in each transportation stage based on the transportation mode of each transportation stage; the first determination module is also used to determine the first carbon emissions based on the energy consumption per unit transportation distance and the carbon emission coefficient of the corresponding fuel used in each transportation stage, and the transportation distance of each transportation stage.

[0153] In some embodiments of the present disclosure, the second determination module 200 is used to determine the second carbon emission based on the freight volume of the target cargo, the transit time between each transportation stage, and the transshipment carbon emission coefficient between each transportation stage.

[0154] Figure 7 is a structural block diagram of a device for determining carbon emissions of multimodal transport in other embodiments of the present disclosure. Figure 7 As shown, the device for determining the carbon emissions of multimodal transport may also include:

[0155] The fourth determination module 400 is used to determine the carbon emission cost of the target goods in the multimodal transport process based on the total carbon emission of the target goods in the multimodal transport process and the carbon tax of each region in the multimodal transport process.

[0156] In some embodiments of the present disclosure, the device for determining the carbon emissions of multimodal transport may further include:

[0157] Acquisition module 500 is used to read the carbon emission data of each transportation stage from the blockchain based on the industrial Internet identification of the target goods, wherein the industrial Internet identification collects the carbon emission data of each transportation stage based on the active identification carrier, and the carbon emission data includes: a transportation tool type parameter for determining the mode of transportation, and a carbon data model parameter for calculating the first carbon emission amount.

[0158] In some embodiments of the present disclosure, the device for determining the carbon emissions of multimodal transport may further include:

[0159] The carbon efficiency evaluation module 600 is used to determine the carrier information based on the carrier's identity in response to receiving a carbon efficiency evaluation request sent by the terminal, wherein the carbon efficiency evaluation request includes the identity; the carbon efficiency evaluation module is also used to obtain the target carbon emission data corresponding to the carbon efficiency evaluation request from the blockchain based on the carrier information; the carbon efficiency evaluation module is also used to perform carbon efficiency evaluation based on the target carbon emission data to obtain a carbon efficiency evaluation result; the carbon efficiency evaluation module is also used to feed back the carbon efficiency evaluation result to the terminal, and store the carbon efficiency evaluation result in the blockchain.

[0160] In some embodiments of the present disclosure, the device for determining the carbon emissions of multimodal transport may further include:

[0161] The alliance chain node application module 700 is used to send a node application request to the multimodal transport secondary node in the alliance chain, so that after the multimodal transport secondary node passes the identity authentication of the multimodal transport carbon emission data platform, a new node is created for the multimodal transport carbon emission data platform in the alliance chain, wherein the node application request includes the identity information of the multimodal transport carbon emission data platform; the alliance chain node application module 700 is also used to send application information to at least one multimodal transport enterprise node in the alliance chain through the new node; the alliance chain node application module 700 is also used to determine that the multimodal transport carbon emission data platform joins the alliance chain in response to the number of reply nodes received by the new node from at least one multimodal transport enterprise node for the application information being greater than the preset number of nodes.

[0162] In some embodiments of the present disclosure, the node application request also includes the public key address of the multimodal carbon emission data platform; the alliance chain is also used to write the public key address of the multimodal carbon emission data platform into the header registry of the alliance chain and broadcast it within the alliance chain.

[0163] It should be noted that the specific implementation of the device for determining the intermodal carbon emissions in the embodiment of the present disclosure is similar to the specific implementation of the method for determining the intermodal carbon emissions in the embodiment of the present disclosure. Please refer to the description of the method for determining the intermodal carbon emissions in the section for details. In order to reduce redundancy, it will not be described in detail.

[0164] In addition, an embodiment of the present disclosure further provides an electronic device, including:

[0165] Memory for storing computer programs;

[0166] The processor is used to execute the computer program stored in the memory, and when the computer program is executed, the method for determining the multimodal transport carbon emissions described in any of the above embodiments of the present disclosure is implemented.

[0167] Below, reference Figure 8 The electronic device according to the embodiment of the present disclosure is described. Figure 8As shown, the electronic device includes one or more processors and memory.

[0168] The processor may be a central processing unit (CPU) or other forms of processing units having data processing capabilities and / or instruction execution capabilities, and may control other components in the electronic device to perform desired functions.

[0169] The memory may store one or more computer program products, and the memory may include various forms of computer-readable storage media, such as volatile memory and / or non-volatile memory. The volatile memory may include, for example, random access memory (RAM) and / or cache memory (cache), etc. The non-volatile memory may include, for example, read-only memory (ROM), hard disk, flash memory, etc. One or more computer program products may be stored on the computer-readable storage medium, and the processor may run the computer program product to implement the method for determining the multimodal carbon emissions of the various embodiments of the present disclosure described above and / or other desired functions.

[0170] In one example, the electronic device may further include: an input device and an output device, and these components are interconnected via a bus system and / or other forms of connection mechanisms (not shown).

[0171] In addition, the input device may also include, for example, a keyboard, a mouse, and the like.

[0172] The output device can output various information to the outside, including determined distance information, direction information, etc. The output device can include, for example, a display, a speaker, a printer, a communication network and a remote output device connected thereto, and the like.

[0173] Of course, to simplify, Figure 8 Only some of the components related to the present disclosure in the electronic device are shown, and components such as a bus, an input / output interface, etc. are omitted. In addition, according to specific application situations, the electronic device may further include any other appropriate components.

[0174] In addition to the above-mentioned methods and devices, an embodiment of the present disclosure may also be a computer program product, which includes computer program instructions, which, when executed by a processor, enable the processor to execute the steps of the method for determining multimodal transport carbon emissions according to various embodiments of the present disclosure described in the above part of this specification.

[0175] The computer program product may be written in any combination of one or more programming languages ​​to write program code for performing the operations of the disclosed embodiments, including object-oriented programming languages ​​such as Java, C++, etc., and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user computing device, partially on the user device, as a separate software package, partially on the user computing device and partially on a remote computing device, or entirely on a remote computing device or server.

[0176] In addition, an embodiment of the present disclosure may also be a computer-readable storage medium having computer program instructions stored thereon, which, when executed by a processor, causes the processor to execute the steps of the method for determining multimodal transport carbon emissions according to various embodiments of the present disclosure described in the above part of this specification.

[0177] The computer readable storage medium can adopt any combination of one or more readable media. The readable medium can be a readable signal medium or a readable storage medium. The readable storage medium can include, for example, but is not limited to, a system, device or device of electricity, magnetism, light, electromagnetic, infrared, or semiconductor, or any combination of the above. More specific examples (non-exhaustive list) of readable storage media include: an electrical connection with one or more wires, a portable disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0178] The basic principles of the present disclosure are described above in conjunction with specific embodiments. However, it should be noted that the advantages, strengths, effects, etc. mentioned in the present disclosure are only examples and not limitations, and it cannot be considered that these advantages, strengths, effects, etc. are required by each embodiment of the present disclosure. In addition, the specific details disclosed above are only for the purpose of illustration and ease of understanding, and are not limitations. The above details do not limit the present disclosure to the necessity of adopting the above specific details to be implemented.

[0179] Each embodiment in this specification is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the system embodiment, since it basically corresponds to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment.

[0180] The block diagrams of the devices, apparatuses, equipment, and systems involved in this disclosure are only illustrative examples and are not intended to require or imply that they must be connected, arranged, and configured in the manner shown in the block diagrams. As will be appreciated by those skilled in the art, these devices, apparatuses, equipment, and systems can be connected, arranged, and configured in any manner. Words such as "including," "comprising," "having," and the like are open words, referring to "including but not limited to," and can be used interchangeably therewith. The words "or" and "and" used herein refer to the words "and / or," and can be used interchangeably therewith, unless the context clearly indicates otherwise. The word "such as" used herein refers to the phrase "such as but not limited to," and can be used interchangeably therewith.

[0181] The method and apparatus of the present disclosure may be implemented in many ways. For example, the method and apparatus of the present disclosure may be implemented by software, hardware, firmware, or any combination of software, hardware, and firmware. The above order of steps for the method is for illustration only, and the steps of the method of the present disclosure are not limited to the order specifically described above, unless otherwise specifically stated. In addition, in some embodiments, the present disclosure may also be implemented as a program recorded in a recording medium, which includes machine-readable instructions for implementing the method according to the present disclosure. Therefore, the present disclosure also covers a recording medium storing a program for executing the method according to the present disclosure.

[0182] It should also be noted that in the apparatus, device and method of the present disclosure, each component or each step can be decomposed and / or recombined. Such decomposition and / or recombination should be regarded as equivalent solutions of the present disclosure.

[0183] The above description of the disclosed aspects is provided to enable any person skilled in the art to make or use the present disclosure. Various modifications to these aspects will be readily apparent to those skilled in the art, and the general principles defined herein may be applied to other aspects without departing from the scope of the present disclosure. Therefore, the present disclosure is not intended to be limited to the aspects shown herein, but rather to the widest scope consistent with the principles and novel features disclosed herein.

[0184] The above description has been given for the purpose of illustration and description. In addition, this description is not intended to limit the embodiments of the present disclosure to the forms disclosed herein. Although multiple example aspects and embodiments have been discussed above, those skilled in the art will recognize certain variations, modifications, changes, additions and sub-combinations thereof.

Claims

1. A method for determining carbon emissions from multimodal transport, characterized in that: include: Determine the first carbon emission of the target cargo at each transportation stage based on the cargo volume of the target cargo and the transportation mode and transportation distance of the target cargo at each transportation stage in the multimodal transport process; Determine, based on the freight volume of the target cargo and the transit time between the transportation stages, a second carbon emission amount of the target cargo between the transportation stages; Based on the first carbon emissions and the second carbon emissions, the total carbon emissions of the target cargo during the multimodal transport process are determined.

2. The method according to claim 1, characterized in that The determining of the first carbon emissions of the target goods at each transportation stage based on the freight volume of the target goods and the transportation mode and transportation distance of the target goods at each transportation stage in the multimodal transport process includes: Based on the transportation mode of each transportation stage, determine the energy consumption per unit transportation distance and the carbon emission coefficient of the corresponding fuel used in each transportation stage; The first carbon emissions are determined based on the energy consumption per unit transportation distance and the carbon emission coefficient of the corresponding fuel used in each transportation stage, and the transportation distance of each transportation stage.

3. The method according to claim 1, characterized in that The determining, based on the freight volume of the target freight and the transit time between the transport stages, the second carbon emission of the target freight between the transport stages comprises: The second carbon emission is determined based on the freight volume of the target cargo, the transit time between the transportation stages, and the transshipment carbon emission coefficient between the transportation stages.

4. The method according to any one of claims 1 to 3, characterized in that: After determining the total carbon emissions of the target cargo in the multimodal transport process based on the first carbon emissions and the second carbon emissions, the method further includes: The carbon emission cost of the target cargo in the multimodal transport process is determined based on the total carbon emission of the target cargo in the multimodal transport process and the carbon tax of each region in which the multimodal transport process passes.

5. The method according to any one of claims 1 to 3, characterized in that: Before determining the first carbon emission of the target goods at each transportation stage based on the freight volume of the target goods and the transportation mode and transportation distance of the target goods at each transportation stage of the multimodal transport process, the method further includes: Based on the industrial Internet identification of the target goods, the carbon emission data of each transportation stage is read from the blockchain, wherein the industrial Internet identification collects the carbon emission data of each transportation stage based on an active identification carrier, and the carbon emission data includes: a transportation tool type parameter for determining a mode of transportation, and a carbon data model parameter for calculating the first carbon emission amount.

6. The method according to claim 5, characterized in that Also includes: In response to receiving a carbon efficiency evaluation request sent by a terminal, determining carrier information based on an identity identifier of the carrier, wherein the carbon efficiency evaluation request includes the identity identifier; Based on the carrier information, obtaining target carbon emission data corresponding to the carbon efficiency evaluation request from the blockchain; Performing carbon efficiency evaluation based on the target carbon emission data to obtain a carbon efficiency evaluation result; The carbon efficiency evaluation result is fed back to the terminal, and the carbon efficiency evaluation result is stored in the blockchain.

7. The method according to any one of claims 1 to 3, characterized in that: Also includes: Sending a node application request to a multimodal transport secondary node in the alliance chain, so that after the multimodal transport secondary node passes the identity authentication of the multimodal transport carbon emission data platform, a new node is created for the multimodal transport carbon emission data platform in the alliance chain, wherein the node application request includes the identity information of the multimodal transport carbon emission data platform; Sending application information to at least one multimodal transport enterprise node in the alliance chain through the new node; In response to the new node receiving a reply from the at least one multimodal transport enterprise node regarding the application information, the number of reply nodes is greater than a preset number of nodes, and it is determined that the multimodal transport carbon emission data platform joins the alliance chain.

8. The method according to claim 7, characterized in that The node application request also includes the public key address of the multimodal carbon emission data platform; the alliance chain is also used to write the public key address of the multimodal carbon emission data platform into the header registry of the alliance chain and broadcast it within the alliance chain.

9. A device for determining carbon emissions from multimodal transport, characterized in that: include: A first determination module is used to determine the first carbon emission of the target cargo at each transportation stage based on the cargo volume of the target cargo and the transportation mode and transportation distance of the target cargo at each transportation stage in the multimodal transport process; A second determination module is used to determine a second carbon emission amount of the target cargo between the transportation stages based on the cargo volume of the target cargo and the transit time between the transportation stages; The third determination module is used to determine the total carbon emissions of the target cargo in the multimodal transport process based on the first carbon emissions and the second carbon emissions.

10. An electronic device, characterized in that: include: a memory for storing a computer program product; A processor is used to execute the computer program product stored in the memory, and when the computer program product is executed, it implements the method described in any one of claims 1 to 8.

11. A computer-readable storage medium having computer program instructions stored thereon, characterized in that: When the computer program instructions are executed by a processor, the method described in any one of claims 1 to 8 is implemented.

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