Data processing device, data processing method, and data processing program

Abstract

Hierarchical structure data (200) includes: a first hierarchical structure in which first nodes are hierarchized, the first hierarchical structure corresponding to a first analysis axis, which is an analysis axis of a GHG emission amount; a second hierarchical structure in which second nodes are hierarchized, the second hierarchical structure corresponding to a second analysis axis different from the first analysis axis; and a plurality of emission amount nodes, which are nodes of the GHG emission amount. Two or more first connection nodes connected to the emission amount nodes are included in the plurality of first nodes, and two or more second connection nodes connected to the emission amount nodes are included in the plurality of second nodes. When any one of the first nodes is selected as a first selection node and any one of the second nodes is selected as a second selection node, an extraction unit (104) extracts a chain of nodes from the emission amount node to which the first connection node is connected to the first selection node via the first connection node, and extracts a chain of nodes from the emission amount node to which the second connection node is connected to the second selection node via the second connection node.

Description

Data processing device, data processing method and data processing program

[0001] TECHNICAL FIELD This disclosure relates to the analysis of greenhouse gas (hereinafter also referred to as GHG) emissions.

[0002] Carbon dioxide (hereinafter referred to as CO ２ Technologies relating to the analysis of CO2 emissions from a product are disclosed in Patent Document 1 and Patent Document 2. Patent Document 1 discloses a technology for analyzing CO2 emissions from a product based on power information and fuel information. ２ In Patent Document 2, a method for calculating CO emissions by service from power consumption is disclosed. ２ A method for calculating emissions is disclosed.

[0003] JP 2021-189566 A International Publication No. WO2010 / 047170

[0004] In order to manage GHG emissions and consider the possibility of reducing them, it is necessary to visualize the breakdown of GHG emissions. For example, it is necessary to visualize GHG emissions for each product part or for each stage of the product's life cycle (manufacturing, transportation, etc.). However, there are many analytical axes for GHG emissions, and it is not easy to manage complex data for many analytical axes. For example, one analytical axis could be the energy source that generates GHG. Another analytical axis could be the internal organization of the product manufacturer. Yet another analytical axis could be the parts that make up the product.

[0005] The techniques of Patent Documents 1 and 2 do not support such multiple analysis axes. Therefore, there is a problem in that GHG emissions cannot be analyzed along multiple analysis axes. One of the main objectives of the present disclosure is to solve the above-mentioned problem. Specifically, the main objective of the present disclosure is to enable GHG emissions to be analyzed along multiple analysis axes.

[0006] A data processing device according to the present disclosure includes: a data management unit that manages hierarchical structure data including a first hierarchical structure in which a plurality of first nodes corresponding to a first analysis axis that is an analysis axis of greenhouse gas emissions are layered; a second hierarchical structure in which a plurality of second nodes corresponding to a second analysis axis that is an analysis axis of greenhouse gas emissions different from the first analysis axis are layered; and a plurality of emission nodes that are nodes of greenhouse gas emissions, wherein the plurality of first nodes include two or more first connection nodes that connect to any of the emission nodes, and the plurality of second nodes include two or more second connection nodes that connect to any of the emission nodes; The system has an extraction unit that, when any first node is selected as a first selected node and any second node is selected as a second selected node, extracts, for each first connecting node, a first node path which is a chain of nodes from the emission node connected by the first connecting node to the first selected node via the first connecting node, and extracts, for each second connecting node, a second node path which is a chain of nodes from the emission node connected by the second connecting node to the second selected node via the second connecting node.

[0007] According to the present disclosure, GHG emissions can be analyzed along multiple analytical axes.

[0008] 1 is a diagram showing an example of the functional configuration of an emission management device according to the first embodiment. FIG. 2 is a diagram showing an example of hierarchical structure data according to the first embodiment. FIG. 3 is a diagram showing an example of visualization information according to the first embodiment. FIG. 4 is a flowchart showing an example of the operation of an extraction unit according to the first embodiment. FIG. 5 is a diagram showing an example of the operation at step S1 according to the first embodiment. FIG. 6 is a diagram showing an example of the operation at step S2 according to the first embodiment. FIG. 7 is a diagram showing an example of the operation at step S3 according to the first embodiment. FIG. 8 is a diagram showing an example of the operation at step S4 according to the first embodiment. FIG. 9 is a diagram showing an example of the operation at step S5 according to the first embodiment. FIG. 10 is a diagram showing an example of the operation at step S6 according to the first embodiment. FIG. 11 is a diagram showing an example of the operation at step S12 according to the second embodiment. FIG. 12 is a diagram showing an example of the operation at step S13 according to the second embodiment. FIG. 13 is a diagram showing an example of the hardware configuration of an emission management device according to the first embodiment.

[0009] Hereinafter, embodiments will be described with reference to the drawings. In the following description of the embodiments and in the drawings, the same reference numerals denote the same or corresponding parts. In the following, CO is used as an example of GHG. ２ The following will be explained. ２ is an example of a GHG, and CO ２ The following explanation can also be applied to GHGs other than carbon dioxide (methane, nitrous oxide, chlorofluorocarbons, etc.).

[0010] Embodiment 1. ***Description of Configuration*** Fig. 1 shows an example of the functional configuration of an emission management device 100 according to this embodiment. The emission management device 100 corresponds to a data processing device. The operating procedure of the emission management device 100 corresponds to a data processing method. The program that realizes the operation of the emission management device 100 corresponds to a data processing program. Fig. 18 shows an example of the hardware configuration of the emission management device 100 according to this embodiment. First, the hardware configuration of the emission management device 100 will be described with reference to Fig. 18.

[0011] The emission management device 100 according to this embodiment is a computer. The emission management device 100 includes, as hardware, a processor 901, a main memory device 902, an auxiliary memory device 903, a communication device 904, and an input / output device 905. As shown in FIG. 1 , the emission management device 100 includes, as functional components, a memory unit 102, an instruction acquisition unit 103, an extraction unit 104, and a visualization unit 105. The functions of the instruction acquisition unit 103, the extraction unit 104, and the visualization unit 105 are realized, for example, by programs. The auxiliary memory device 903 stores programs that realize the functions of the instruction acquisition unit 103, the extraction unit 104, and the visualization unit 105. These programs are loaded from the auxiliary memory device 903 to the main memory device 902. The processor 901 then executes these programs to perform the operations of the instruction acquisition unit 103, the extraction unit 104, and the visualization unit 105, which will be described later. 18 schematically shows a state in which the processor 901 is executing programs that implement the functions of the instruction acquisition unit 103, the extraction unit 104, and the visualization unit 105. The storage unit 102 is implemented by a main storage unit 902 and / or an auxiliary storage unit 903. The communication unit 904 communicates with external devices. The input / output unit 905 is, for example, a mouse, a keyboard, and a display.

[0012] Next, an example of the functional configuration of the emission amount management device 100 will be described with reference to FIG.

[0013] The data management unit 101 manages the hierarchical structure data 200. Specifically, the data management unit 101 acquires configuration information indicating the configuration of the hierarchical structure data 200. Then, the data management unit 101 generates the hierarchical structure data 200 using the acquired configuration information. The data management unit 101 also stores the generated hierarchical structure data 200 in the storage unit 102. The data management unit 101 acquires the configuration information, for example, from a data analyst who is a user of the emission management device 100, via the mouse and keyboard of the input / output device 905. The data management unit 101 also acquires (receives), for example, configuration information transmitted from an external device via a network, via the communication device 904. The data management unit 101 may acquire the generated hierarchical structure data 200 from the external device.

[0014] The hierarchical structure data 200 is ２ This is data including a hierarchical structure used for analyzing emissions. The hierarchical structure data 200 includes a first hierarchical structure, a second hierarchical structure, and an emission amount node. The first hierarchical structure includes CO ２ The second hierarchical structure corresponds to the first analysis axis, which is the analysis axis of CO emissions. ２ This is a hierarchical structure corresponding to the second analysis axis, which is the analysis axis of emissions. In each of the first hierarchical structure and the second hierarchical structure, a plurality of nodes are arranged in a hierarchy. A node included in the first hierarchical structure is called a first node. A node included in the second hierarchical structure is called a second node. The emission node is a node that represents CO ２ This is a node for the emission amount. Details of the hierarchical structure data 200 will be described later. Details of the configuration information will also be described later together with details of the hierarchical structure data 200. The processing performed by the data management unit 101 corresponds to data management processing.

[0015] The storage unit 102 stores the hierarchical structure data 200 .

[0016] The instruction acquisition unit 103 acquires analysis instructions from the data analyst via the mouse and keyboard of the input / output device 905. The analysis instructions are input by the CO ２ This is a command to instruct an analysis of the emission amount. The analysis instruction specifies conditions for extracting a node path from the hierarchical structure data 200. A node path is a chain of nodes. Details of the node path will be described later.

[0017] The extraction unit 104 extracts node paths that correspond to the conditions specified in the analysis instruction from the hierarchical structure data 200. The processing performed by the extraction unit 104 corresponds to extraction processing.

[0018] The visualization unit 105 uses the node paths extracted by the extraction unit 104 to visualize the CO based on the first analysis axis and the second analysis axis. ２ The visualization unit 105 generates visualization information that visualizes the emission amount. The visualization unit 105 generates, for example, a Sankey diagram as the visualization information. The visualization unit 105 then outputs the visualization information to the display of the input / output device 905.

[0019] FIG. 2 shows an example of hierarchical structure data 200 .

[0020] The hierarchical structure data 200 is data having a graph-format data structure. In the graph format, data is represented by nodes and edges. In FIG. 2, nodes are represented by circles. Also, in FIG. 2, edges are represented by lines connecting nodes. A graph database may be used as a database for holding graph-format data. Alternatively, a relational database, a key-value database, a document database, or the like may be used as a database for holding graph-format data.

[0021] CO ２ The emission node 201 is an emission node. ２ The emission node 201 is a node for calculating the amount of GHG emissions. ２ The hierarchical structure data 200 includes a plurality of CO ２ It includes an emission node 201. ２ The discharge amount is expressed as weight (kg) and volume (m ３ ) and CO ２ The emission node 201 contains CO ２ Instead of emissions, CO ２ A value for calculating the amount of CO emissions may be set. ２ The emission node 201 stores CO ２ In this case, the extraction unit 104 may set a value that is the basis for calculating the CO ２ Applying the conversion formula to the value set in the emission node 201, ２ The extraction unit 104 calculates the amount of CO ２ Without calculating emissions, ２ The value of the emission node 201 (CO ２ The visualization unit 105 then transfers the CO ２ The value of the emission node 201 may be visualized. ２ CO emissions are set ２Emission node 201 and CO ２ CO emissions are calculated based on the set value ２ In the following, for the sake of simplicity, the hierarchical structure data 200 includes the CO ２ CO emissions are set ２ It is assumed that only the emission node 201 is included.

[0022] The tag data 202 is data with a hierarchical structure. Note that the number of levels shown in FIG. 2 is an example, and the tag data 202 may have a hierarchical structure with a number of levels other than that shown in FIG. 2. The tag data 202 includes, for example, classification tag data 203, department tag data 204, facility tag data 205, and product tag data 206. In addition to these, tag nodes representing dates may be included in the hierarchical structure data 200. A node included in the tag data 202 is called a tag node. A tag node will also be simply referred to as a node hereinafter. Each tag data 202 includes multiple tag nodes, and the multiple tag nodes are hierarchically organized. If two or more of the multiple tag nodes contain CO ２ The emission node 201 is connected (associated). ２ A tag node to which a discharge node 201 is connected is called a connection node. In this embodiment, the tag node at the bottom of the hierarchical structure is a CO ２ The tag nodes in the layers other than the bottom layer are connected to the emission node 201. ２ It may be connected to the emission node 201. In other words, the connection node may be a tag node in a layer other than the lowest layer.

[0023] CO ２ The emission node 201 is connected to two or more connection nodes in two or more hierarchical structures. For example, ２ There is a case where the emission node 201 is connected to the tag node of "Scope 1", the tag node of "Assembly G", the tag node of "1F", and the tag node of "Part AA". ２ CO of emission node 201 ２The emissions are CO2 related to "Part AA" that belongs to "Scope 1" and is emitted by equipment located on "1F" of "Assembly G". ２ This means that it is an emission.

[0024] The classification tag data 203 is tag data that complies with the GHG protocol. The GHG protocol is an international standard for calculating and reporting GHG emissions. A "Scope 1" tag node, a "Scope 2" tag node, and a "Scope 3" tag node are provided as tag nodes below the "GHG" tag node in the top layer. The "Scope 1" tag node is a tag node that corresponds to "Scope 1 (direct emissions)" in the GHG protocol. The "Scope 2" tag node is a tag node that corresponds to "Scope 2 (indirect emissions)" in the GHG protocol. The "Scope 3" tag node is a tag node that corresponds to "Scope 3 (other emissions)" in the GHG protocol. In the example of FIG. 2, a "Category 1" tag node and a "Category 2" tag node are provided below the "Scope 3" tag node. The tag node of "Category 1" is a tag node corresponding to "Category 1" of the GHG protocol. The tag node of "Category 2" is a tag node corresponding to "Category 2" of the GHG protocol. In the drawings, "Category 1" and "Category 2" are written as "cat1" and "cat2". In the GHG protocol, 15 categories are defined as the "Scope 3" category. In this embodiment, only the tag nodes of "Category 1" and "Category 2" are provided, but 15 tag nodes corresponding to the 15 categories of the GHG protocol may be provided below the tag node of "Scope 3". In the classification tag data 203, the tag nodes of "Category 1" and "Category 2" of the tag nodes of "Scope 1", "Scope 2", and "Scope 3" are each CO ２ The classification tag data 203 corresponds to a first hierarchical structure corresponding to the first analysis axis. Therefore, each tag node included in the classification tag data 203 corresponds to a first node.２ The tag node connected to the emission node 201 corresponds to the first connection node. Specifically, the tag node of "Scope 1", the tag node of "Scope 2", the tag node of "Category 1", and the tag node of "Category 2" each correspond to the first connection node. Tag data other than the classification tag data 203 may be used as the first hierarchical structure. For example, as the first hierarchical structure, ２ Alternatively, tag data corresponding to an energy source that generates the energy may be used. In this case, tag nodes corresponding to individual energy sources (coal, coke, natural gas, biomass, etc.) may be set in a hierarchical structure. Also, instead of the classification tag data 203, any of the department tag data 204, the equipment tag data 205, and the product tag data 206 may be treated as the first hierarchical structure. Also, there may be a plurality of tag data treated as the first hierarchical structure.

[0025] The department tag data 204 is tag data that indicates a department. ２ Specifically, the department tag data 204 includes ２ The source of the emissions is a factory. A tag node for "General Affairs Department" and a tag node for "Manufacturing Department" are provided as subordinate tag nodes to the tag node for "Factory" in the top layer. The tag node for "General Affairs Department" corresponds to the "General Affairs Department," an organization within the factory. The tag node for "Manufacturing Department" corresponds to the "Manufacturing Department," another organization within the factory. Furthermore, a tag node for "Sheet Metal G" and a tag node for "Assembly G" are provided as subordinate tag nodes to the tag node for "Manufacturing Department." The tag node for "Sheet Metal G" corresponds to the sheet metal group within the Manufacturing Department. The tag node for "Assembly G" corresponds to the assembly group within the Manufacturing Department. The tag node for "General Affairs Department," the tag node for "Sheet Metal G," and the tag node for "Assembly G" each store a department ID (Identifier), department name, personnel, number of people, location, telephone number, etc. In the department tag data 204, the tag node of "General Affairs Department", the tag node of "Sheet Metal G", and the tag node of "Assembly G" are each CO ２It is connected to the emission node 201. That is, the tag node of "General Affairs Department", the tag node of "Metal Sheet G", and the tag node of "Assembly G" are each a connection node.

[0026] The facility tag data 205 is data that represents a facility. ２ Specifically, the equipment tag data 205 includes ２ The emission source is a factory. Tag nodes for "Building 1" and "Building 2" are provided as subordinate tag nodes to the tag node for "Factory" on the top layer. The tag node for "Building 1" corresponds to "Building 1," a building within the factory. The tag node for "Building 2" corresponds to "Building 2," another building within the factory. Tag nodes for "1F" and "2F" are provided as subordinate tag nodes to the tag node for "Building 1." The tag node for "1F" corresponds to the first floor of Building 1. The tag node for "2F" corresponds to the second floor of Building 1. The tag node for "1F," the tag node for "2F," and the tag node for "Building 2" each store equipment ID, equipment name, size, etc. In the equipment tag data 205, the tag node for "1F," the tag node for "2F," and the tag node for "Building 2" each store CO ２ It is connected to the emission node 201. That is, the tag node of "1F", the tag node of "2F", and the tag node of "Building 2" are each a connection node.

[0027] The product tag data 206 is data that represents a product. ２These are items manufactured in factories that are sources of emissions. Tag nodes for "Part A" and "Part B" are provided as subordinate tags to the tag node for "Product" in the top layer. The tag node for "Part A" corresponds to "Part A," a component of the product. The tag node for "Part B" corresponds to "Part B," another component of the product. Furthermore, tag nodes for "Part AA" and "Part AB" are provided as subordinate tags to the tag node for "Part A." The tag node for "Part AA" corresponds to "Part AA," a component of Part A. The tag node for "Part AB" corresponds to "Part AB," another component of Part A. The tag node for "Part B," the tag node for "Part AA," and the tag node for "Part AB" each store information such as the part ID, part name, model number, cost, and weight. In the product tag data 206, the tag node of "Part B", the tag node of "Part AA", and the tag node of "Part AB" are each CO ２ It is connected to the discharge node 201. That is, the tag node of "part B", the tag node of "part AA", and the tag node of "part AB" are each a connection node.

[0028] The department tag data 204, the equipment tag data 205, and the product tag data 206 each correspond to a second hierarchical structure corresponding to the second analysis axis. Therefore, each tag node included in the department tag data 204, the equipment tag data 205, and the product tag data 206 corresponds to a second node. In addition, in the department tag data 204, the equipment tag data 205, and the product tag data 206, ２The tag node connected to the emission amount node 201 corresponds to the second connection node. Specifically, in the department tag data 204, the tag node of "General Affairs Department", the tag node of "Sheet Metal G", and the tag node of "Assembly G" each correspond to the second connection node. In addition, in the facility tag data 205, the tag node of "1F", the tag node of "2F", and the tag node of "Building 2" each correspond to the second connection node. In addition, in the product tag data 206, the tag node of "Part B", the tag node of "Part AA", and the tag node of "Part AB" each correspond to the second connection node. Tag data other than the department tag data 204, the facility tag data 205, and the product tag data 206 may be used as the second hierarchical structure.

[0029] In the following, a tag node of "XX" may be written simply as "XX." For example, a tag node of "GHG" may be written simply as "GHG," and a tag node of "factory" may be written simply as "factory."

[0030] The data management unit 101 shown in Fig. 1 acquires configuration information that describes the configuration of the hierarchical structure data 200 shown in Fig. 2. The configuration information acquired by the data management unit 101 includes ２ The emission amount node 201 is described. The configuration information also describes details of the classification tag data 203. For example, the configuration information may include tag nodes included in the classification tag data 203, relationships between tag nodes, connection nodes of the classification tag data 203, and CO ２ The configuration information describes the emission node 201. In addition, the configuration information describes details of each of the division tag data 204, the equipment tag data 205, and the product tag data 206, as well as the classification tag data 203. In addition, the configuration information describes the CO 2 emissions such as the amount of power consumption, the amount of heat, the amount of water, etc. ２ CO emissions are calculated based on the set value ２When the emission node 201 is used, the configuration information includes a conversion formula. The data management unit 101 can acquire the configuration information in the format of, for example, a CSV file, an XML (registered trademark) file, a binary file, a database operation query, or the like. The data management unit 101 uses the acquired configuration information to generate hierarchical structure data 200, an example of which is shown in FIG. 2, and stores the generated hierarchical structure data 200 in the storage unit 102.

[0031] The data analyst inputs analysis instructions to the instruction acquisition unit 103 using the mouse and keyboard of the input / output device 905. The data analyst selects, for example, one of the nodes in the classification tag data 203 as the first selected node. If there is a plurality of tag data corresponding to the first analysis axis, the data analyst selects one of the tag data as the first selected hierarchical structure from among the plurality of tag data. The data analyst also selects one of the nodes in the tag data selected as the first selected hierarchical structure as the first selected node.

[0032] The data analyst also selects any one of the tag data items 204, 205, and 206 as the second selected hierarchical structure. The data analyst also selects any one of the nodes in the tag data item 204 selected as the second selected hierarchical structure as the second selected node.

[0033] The data analyst can select multiple first selection nodes and multiple second selection nodes. Then, the data analyst inputs an analysis instruction indicating the selection result to the instruction acquisition unit 103. The data analyst may also specify a period. The data analyst can specify the period in units of a single year, multiple years, a single month, multiple months, days, or weeks.

[0034] 3 shows an example of visualization information 300 that the visualization unit 105 outputs to the input / output device 905. FIG. 3 shows an example of visualization information 300 in the form of a Sankey diagram. In the visualization information 300 in the form of a Sankey diagram, the thickness of the lines is CO ２In the visualization information 300, the CO2 emissions corresponding to the conditions (first selected hierarchical structure, first selected node, second selected hierarchical structure, second selected node) specified in the analysis instruction by the data analyst are ２ The results of the emission extraction are shown.

[0035] 3 illustrates visualization information 300 in a case where the tag nodes "Scope 1," "Scope 2," "Category 1," and "Category 2" in the classification tag data 203 in FIG. 2 are selected as first selection nodes, and the tag nodes "General Affairs Department," "Sheet Metal G," and "Assembly G" in the department tag data 204 in FIG. 2 are selected as second selection nodes. The first selection node and its parent node are shown on the left side of the visualization information 300. That is, the first selection nodes "Scope 1" and "Scope 2" and the parent node "Scope 3" of the first selection nodes "Category 1" and "Category 2" are shown on the left side of the visualization information 300. Furthermore, the second selection node and its parent node are shown on the right side of the visualization information 300. That is, the second selected node "General Affairs Department" and the higher-level node "Manufacturing Department" of the second selected node "Sheet Metal G" and "Assembly G" are displayed at the right end of the visualization information 300. In addition, near the left end of the visualization information 300, COs corresponding to "Scope 1", "Scope 2", and "Scope 3" are displayed. ２ In addition, in the visualization information 300, the CO emissions corresponding to each of "Category 1" and "Category 2" of "Scope 3" are displayed. ２ The CO emissions corresponding to the "General Affairs Department" and the "Manufacturing Department" are also displayed near the right end of the visualization information 300. ２ In the visualization information 300, the CO emissions corresponding to each of "Sheet Metal G" and "Assembly G" in the "Manufacturing Department" are displayed. ２ The CO emissions for the combination of the first selected node and the second selected node are also displayed. ２ The highest value of "30t" is the CO2 emissions for the combination of "Scope 1" and "General Affairs Department." ２ The next "50t" is the CO2 emissions for the combination of "Scope 2" and "General Affairs Department." ２The next "40t" is the CO2 emissions for the combination of "Category 1" and "General Affairs Department." ２ The next "50t" is the CO2 emissions for the combination of "Category 2" and "General Affairs Department." ２ The "Sheet Metal Group" and "Assembly Group" also calculated CO emissions in the same manner as the "General Affairs Department." ２ The emissions are displayed.

[0036] By referring to the visualized information, data analysts can ２ Measures for reducing emissions can be efficiently formulated. In FIG. 3, the line corresponding to the combination of "Category 1" and "Assembly G" is thick. This allows the data analyst to recognize that measures for this combination should be formulated. The visualization unit 105 may generate visualized information using a bar graph, a stacked bar graph, a pie chart, or the like instead of a Sankey diagram.

[0037] ***Explanation of Operation*** Fig. 4 shows an example of operation of extraction unit 104 according to this embodiment. Fig. 5 shows a specific example of step S1 in Fig. 4. Fig. 6 shows a specific example of step S2 in Fig. 4. Fig. 7 shows a specific example of step S3 in Fig. 4. Fig. 8 shows a specific example of step S4 in Fig. 4. Fig. 9 shows a specific example of step S5 in Fig. 4. Fig. 10 shows a specific example of step S6 in Fig. 4. Fig. 11 shows a specific example of step S7 in Fig. 4. Below, an example of operation of extraction unit 104 will be described with reference to Figs. 4 to 10.

[0038] 4, the extraction unit 104 follows the analysis instruction to extract node paths for each analysis axis from the hierarchical structure data 200. If the analysis instruction specifies a condition such as a period (year, month, day), the data management unit 101 extracts only node paths that match the condition.

[0039] A node path is a path of COs that a connection node connects to. ２It is a chain of nodes from the emission node 201 to the selected node via the connection node. The selected node is the node selected by the data analyst in the analysis instruction. The extraction unit 104 extracts a node path for each connection node on each of the first analysis axis and the second analysis axis. On the first analysis axis, the CO ２ The chain of nodes from the emission node 201 to the selection node (first selection node) via the connection node (first connection node) is called the first node path. ２ A chain of nodes extending from the discharge node 201 through the connection node (second connection node) to the selection node (second selection node) is called a second node path.

[0040] Details of step S1 will be described with reference to Fig. 5. In the following, it is assumed that "GHG," "Scope 1," "Scope 2," and "Scope 3" of the classification tag data 203 in Fig. 2 are selected as first selection nodes in the analysis instruction. It is also assumed that "Factory," "General Affairs Department," and "Manufacturing Department" of the department tag data 204 in Fig. 2 are selected as second selection nodes in the analysis instruction.

[0041] In the classification tag data 203 corresponding to the first analysis axis, "Scope 1", "Scope 2", "Category 1", and "Category 2" are the first connection nodes. ２ The emission node 201, “CO ２ The extraction unit 104 extracts "CO ２ The extraction unit 104 extracts, as a first node path, a node path from "CO emissions 10(t)" via the first connection node "Scope1" to the first selection node "GHG". ２ The emission node 201, “CO ２ The extraction unit 104 then extracts "CO ２The extraction unit 104 extracts, as a first node path, a node path from "CO emissions 20 (t)" via the first connection node "Scope2" to the first selection node "GHG". Furthermore, the extraction unit 104 extracts, as a first node path, a node path from the first connection node "Scope1" to the first selection node "GHG". ２ The emission node 201, “CO ２ The extraction unit 104 extracts "CO ２ The extraction unit 104 extracts, as a first node path, a node path from "CO emissions 30 (t)" via the first connection node "Category 1" to the first selection node "GHG". Furthermore, the extraction unit 104 extracts, as a first node path, a node path from "Category 2" to which the first connection node "Category 3" connects. ２ The emission node 201, “CO ２ The extraction unit 104 then extracts "CO ２ The node path from "emissions amount 40 (t)" to the first selected node "GHG" via the first connecting node "category 2" is extracted as the first node path.

[0042] In the department tag data 204 corresponding to the second analysis axis, "General Affairs Department", "Sheet Metal G", and "Assembly G" are the second connection nodes. ２ The emission node 201, “CO ２ The extraction unit 104 extracts "CO ２ The extraction unit 104 extracts, as a second node path, a node path from "CO emissions 10 (t)" via the second connection node "General Affairs Department" to the second selection node "Factory". In addition, the extraction unit 104 extracts, as a second node path, a node path from "CO emissions 10 (t)" via the second connection node "General Affairs Department" to the second selection node "Factory". ２ The emission node 201, “CO ２ Emissions 20 (t)" and "CO ２ The extraction unit 104 extracts "CO ２ The extraction unit 104 extracts, as a second node path, a node path from "CO emissions 20 (t)" to "Factory" which is a second selected node via "Metal Sheet G" which is a second connection node. ２The extraction unit 104 extracts, as a second node path, a node path from "CO emissions 30 (t)" via the second connection node "sheet metal G" to the second selected node "factory". In addition, the extraction unit 104 extracts, as a second node path, a node path from the second connection node "assembly G" to the second selected node "factory". ２ The emission node 201, “CO ２ The extraction unit 104 then extracts "CO ２ The extraction unit 104 extracts, as a second node path, a node path from "Discharge Amount 40 (t)" to "Factory" which is the second selected node via "Assembly G" which is the second connection node. The extraction unit 104 also manages the extracted first node paths in a tree structure in which overlapping portions are shared. The extraction unit 104 also manages the extracted second node paths in a tree structure in which overlapping portions are shared.

[0043] FIG. 5 shows the results of the processing of step S1. In FIG. 5, the first analysis axis is shown on the left side, and the second analysis axis is shown on the right side. In addition, in FIG. 5, the tag node at the highest level is displayed on the outside. As described above, in FIG. 5, the extracted multiple first node paths and multiple second node paths are managed in a tree structure. Specifically, on the first analysis axis, "GHG" overlaps with multiple first node paths. For this reason, "GHG" is shared in FIG. 5. Furthermore, "Scope3" overlaps with the node path of "Category 1" and the node path of "Category 2". For this reason, "Scope3" is shared in FIG. 5. Similarly, on the second analysis axis, "factory" overlaps with multiple second node paths. For this reason, "factory" is shared in FIG. 5. Furthermore, "CO ２ Node path of "emissions 20 (t)" and "CO ２ In the node path of "Discharge Amount 30 (t)", "Sheet Metal G" is duplicated. For this reason, in FIG. 5, "Sheet Metal G" is shared. Also, in the node path of "Sheet Metal G" and the node path of "Assembly G", "Manufacturing Department" is duplicated. For this reason, in FIG. 5, "Manufacturing Department" is shared.

[0044] Next, in step S2 of FIG. 4, the extraction unit 104 ２The discharge node 201 connects the same first node path and second node path. Hereinafter, the node path after the connection is called a connected node path.

[0045] In the example of FIG. 5, ２ Emissions 10 (t)" and "CO ２ The amount of CO emissions 10 (t) is the same. Therefore, the extraction unit 104 connects the node path of "Scope1" and the node path of "General Affairs Department". At this time, the extraction unit 104 connects the "CO ２ "Emissions 10 (t)" is deleted. Also, "CO ２ Emissions 20 (t)" and "CO ２ The amount of discharge 20 (t) is the same. Therefore, the extraction unit 104 connects the node path of "Scope 2" and the node path of "Metal Sheet G". At this time, the extraction unit 104 connects the "CO ２ "Emissions 20 (t)" will be deleted. Also, "CO ２ Emissions 30 (t)" and "CO ２ The amount of CO emissions 30 (t) is the same. Therefore, the extraction unit 104 connects the node path of "Category 1" and the node path of "Sheet Metal G". At this time, the extraction unit 104 connects the "CO ２ "Emissions 30 (t)" will be deleted. Also, "CO ２ Emissions 40 (t)" and "CO ２ The amount of CO emissions 40 (t) is the same. Therefore, the extraction unit 104 connects the node path of "Category 2" with the node path of "Assembly G". At this time, the extraction unit 104 connects the "CO ２ "Emissions 40 (t)" will be deleted.

[0046] FIG. 6 shows the results of the process in step S2. In FIG. 6, “GHG” is used to calculate “Scope 1” and “CO ２In FIG. 6, a chain of nodes (hereinafter referred to as chain 1) is generated from "GHG" to "Scope 2" and "CO ２ In FIG. 6, a chain of nodes (hereinafter referred to as chain 2) is generated from "GHG" to "Scope 3", "Category 1", and "CO ２ In FIG. 6, a chain of nodes (hereinafter referred to as chain 3) is generated from "GHG" to "Scope 3", "Category 2", and "CO ２ A chain of nodes (hereinafter referred to as chain 4) is generated that passes through "Discharge Amount 40 (t)", "Assembly G", and "Manufacturing Department" and reaches "Factory".

[0047] Next, in step S3 of Fig. 4, the extraction unit 104 separates the connecting node path. Specifically, the extraction unit 104 separates the connecting node path into a plurality of node paths so that the following two conditions are satisfied: (1) Each of the plurality of node chains included in the connecting node path is included in one of the plurality of node paths after separation, and (2) The node chains included in each of the plurality of node paths after separation are different from one another.

[0048] As described above, the connected node path shown in Fig. 6 includes four node chains, chain 1 to chain 4. In step S3, the extraction unit 104 separates the connected node path shown in Fig. 6 into a node path corresponding to chain 1, a node path corresponding to chain 2, a node path corresponding to chain 3, and a node path corresponding to chain 4. As a result, the four node paths shown in Fig. 7 are obtained. Note that the multiple node paths obtained by the separation in step S3 (the multiple node paths shown in Fig. 7) are each referred to as a separated node path.

[0049] Next, in step S4 of Fig. 4, the extraction unit 104 deletes the non-corresponding nodes from the separated node path. The non-corresponding nodes are the first selected node, the second selected node, and the CO ２These are nodes that do not correspond to any of the emission nodes 201. In the example of FIG. 7, "Category 1", "Category 2", "Sheet Metal G", and "Assembly G" are non-corresponding nodes. FIG. 8 shows the results of the processing of step S4. Compared to FIG. 7, in FIG. 8, the non-corresponding nodes "Category 1", "Category 2", "Sheet Metal G", and "Assembly G" have been deleted.

[0050] Next, in step S5 of FIG. 4, the extraction unit 104 ２ All nodes except the discharge node 201 integrate the same separation node paths. ２ In the example of FIG. 8, the CO emissions are calculated at the separation node path corresponding to chain 3 and the separation node path corresponding to chain 4. ２ All nodes other than the emission node 201 are the same ("GHG", "Scope 3", "Manufacturing Department", and "Factory"). Therefore, the extraction unit 104 integrates these two separated node paths. In addition, the extraction unit 104 integrates the CO ２ Based on the emission node 201, new CO ２ In the example of FIG. 8, the extraction unit 104 calculates the amount of CO ２ Emissions 30 (t)" and "CO ２ Emissions 40 (t)" and "CO ２ The result of the process in step S5 is obtained as "discharge amount 70 (t)". ​​FIG. 9 shows the result of the process in step S5.

[0051] Next, in step S6 of FIG. 4, the extraction unit 104 ２ CO shown in the emission node 201 ２ The emission amount is associated with the link between the nodes. FIG. 10 shows the result of the process in step S6. In FIG. 10, the CO ２ The emission amount "10 (t)" is associated with the link between the nodes of the second separation node path. ２ The emission amount "20 (t)" is associated with the link between the nodes of the third separation node path. ２ The discharge amount "70 (t)" is associated with this.

[0052] Next, in step S7 of FIG. 4, the extraction unit 104 standardizes overlapping portions of the separation node paths. In the example of FIG. 10, "GHG" and "Factory" are overlapping in three separation node paths. Furthermore, "Manufacturing Department" is overlapping in the second separation node path and the third separation node path. Therefore, the extraction unit 104 standardizes "GHG" and "Factory" in the three separation node paths. Furthermore, the extraction unit 104 standardizes "Manufacturing Department" in the second separation node path and the third separation node path. At this time, the extraction unit 104 sets "90", which is the sum of "20" in the second separation node path and "70" in the third separation node path, to the link between "Manufacturing Department" and "Factory". FIG. 11 shows the results of the processing in step S7. As described above, in FIG. 11, "GHG" and "Factory" are standardized, and "Manufacturing Department" is also standardized. Furthermore, "90" is set to the link between "Manufacturing Department" and "Factory". The thickness of the lines in the Sankey diagram is determined according to the values ​​set between the nodes shown in Fig. 11. Furthermore, when the visualization information is generated as a bar graph, the length of the bars in the bar graph is determined according to the values ​​set between the nodes shown in Fig. 11. Furthermore, when the visualization information is generated as a pie chart, the size of the sectors in the pie chart is determined according to the values ​​set between the nodes shown in Fig. 11.

[0053] ***Description of the Effects of the Embodiment*** In this embodiment, ２ A plurality of analytical axes are used as analytical axes for analyzing emissions. Therefore, according to this embodiment, CO emissions can be calculated by combining various analytical axes, such as a combination of "GHG Protocol" and "sector," a combination of "GHG Protocol" and "equipment," and a combination of "energy source" and "sector." ２ Furthermore, in this embodiment, the analysis results are visualized. ２ It is possible to accurately estimate the factors that contribute to the reduction of CO emissions. ２ Measures to reduce emissions can be formulated efficiently.

[0054] Second Embodiment In this embodiment, differences from the first embodiment will be mainly described. Note that matters not described below are the same as those in the first embodiment.

[0055] 12 shows an example of hierarchical structure data 200 according to the present embodiment. In the hierarchical structure data 200 (FIG. 2) according to the first embodiment, the tag node at the bottom is basically CO ２ In this embodiment, as shown in FIG. 12, the tag nodes other than the bottom node are connected to the CO ２ 2, in the classification tag data 203, "Category 1" and "Category 2" are connected to the emission amount node 201. ２ 12, the tag node "Scope 3" located in the upper layer of "Category 1" and "Category 2" is connected to the emission node 201. ２ 2, in the department tag data 204, "sheet metal G" and "assembly G" are connected to the emission node 201. ２ 12, the tag node "Manufacturing Department" located in the upper layer of "Sheet Metal G" and "Assembly G" is connected to the CO ２ 2, in the facility tag data 205, "1F" and "2F" are connected to the emission node 201. ２ On the other hand, in FIG. 12, the tag node "Building 1" located in the upper layer of "1F" and "2F" is connected to the emission node 201. ２ 2, in the equipment tag data 205, "Part AA" and "Part AB" are connected to the emission node 201. ２ On the other hand, in FIG. 12, "Part A", which is a tag node located in the upper layer of "Part AA" and "Part AB", is connected to the CO ２ In this embodiment, the CO ２ The emission node 201 is connected. ２ The CO is sent to a node (hereinafter referred to as a lower node) located in a lower layer of the tag node to which the emission node 201 is connected.２ For example, in the department tag data 204, the total amount of CO ２ The CO emissions are managed for each of the subordinate nodes of the "Manufacturing Department", "Sheet Metal G" and "Assembly G". ２ Emissions are not controlled.

[0056] Fig. 13 shows an example of the operation of the extraction unit 104 according to this embodiment. Fig. 14 shows a specific example of step S1 in Fig. 13. Fig. 15 shows a specific example of step S11 in Fig. 13. Fig. 16 shows a specific example of step S12 in Fig. 13. Fig. 17 shows a specific example of step S13 in Fig. 13. Below, an example of the operation of the extraction unit 104 according to this embodiment will be described with reference to Figs. 13 to 17.

[0057] Step S1 in Fig. 13 is the same as step S1 in Fig. 4. In this embodiment, in the analysis instruction, "GHG", "Scope1", and "Scope3" are selected as first selected nodes for the first analysis axis, and "Factory", "General Affairs Department", "Sheet Metal G", and "Assembly G" of the department tag data 204 are selected as second selected nodes for the second analysis axis. Fig. 14 shows the processing result of step S1 in this case. In this embodiment, the extraction unit 104 extracts the CO connected to "Scope1", which is the first connection node, from the CO ２ The emission node 201, “CO ２ The extraction unit 104 extracts "CO ２ The extraction unit 104 extracts, as a first node path, a node path from "CO emissions 10 (t)" via the first connection node "Scope1" to the first selection node "GHG". ２ The emission node 201, “CO ２ The extraction unit 104 then extracts "CO ２The extraction unit 104 extracts, as a first node path, a node path from "CO emissions 70 (t)" via the first connection node "Scope3" to the first selection node "GHG". Furthermore, the extraction unit 104 extracts, as a first node path, a node path from "CO emissions 70 (t)" via the first connection node "Scope3" to the first selection node "GHG". ２ The emission node 201, “CO ２ The extraction unit 104 extracts "CO ２ The extraction unit 104 extracts, as a second node path, a node path from "CO emissions 10 (t)" via the second connection node "General Affairs Department" to the second selection node "Factory." Furthermore, the extraction unit 104 extracts, as a second node path, a node path from the second connection node "Manufacturing Department" to the second selection node "Factory." ２ The emission node 201, “CO ２ The extraction unit 104 then extracts "CO ２ The node path from "Discharge Amount 70 (t)" via the second connection node "Manufacturing Department" to the second selected nodes "Sheet Metal G", "Assembly G" and "Factory" is extracted as the second node path.

[0058] 13, the extraction unit 104 acquires the proportional division ratio data. ２ CO of emission node 201 ２ CO emissions from each of two or more lower nodes ２ In the example of FIG. 14, the allocation ratio data is the CO ２ The emission node 201, “CO ２ CO emissions from "Sheet Metal G" and "Assembly G" ２ In this case, the number of people in each department can be used as the allocation ratio data. ２ As the proportion data for estimating the amount of emission, for example, the size of the facility (floor area, volume, etc.) can be used. ２As allocation ratio data for estimating the amount of emissions, for example, the cost ratio or weight ratio of the parts in the finished product can be used. FIG. 15 shows the results of the processing in step S11. In FIG. 15, the number of people belonging to each department is used as the allocation ratio data. The number of people belonging to "Sheet Metal G" is 30. The number of people belonging to "Assembly G" is 40. The extraction unit 104 sets the allocation ratio for "Sheet Metal G" to "30 people." The extraction unit 104 also sets the allocation ratio for "Assembly G" to "40 people."

[0059] In step S12 of FIG. 13, the extraction unit 104 calculates the CO ２ The extraction unit 104 estimates the amount of CO ２ In the example of FIG. 15, the extraction unit 104 sets the CO ２ The CO emission amount of "metal sheet G" is proportionally divided into "30:40" based on the proportional division ratio. ２ The amount of CO2 emissions from Assembly G is estimated to be 30 t. ２ The emission amount is estimated to be "40 (t)." The extraction unit 104 then adds "CO ２ Set "CO emission amount 30 (t)" and set the tag node of "Assembly G" to "CO ２ The discharge amount is set to 40 (t). FIG. 16 shows the results of the process in step S12.

[0060] In step S13 of FIG. 13, the extraction unit 104 ２ The emission node 201 connects the first node path and the second node path having the same emission node. ２ Emissions and estimated CO ２ Even if the total emission amount is the same, the first node path and the second node path are connected. ２ The CO emissions of 70 (t) are ２ Emissions 30 (t)" and "CO ２This is the same as the total value of "Scope 3" and "Discharge Amount 40 (t)". ​​Therefore, the extraction unit 104 connects the node path of "Scope 3" to the node path of "Sheet Metal G" and the node path of "Assembly G". FIG. 17 shows the processing result of step S13.

[0061] 13 are the same as those described in embodiment 1. Therefore, the description of steps S3 to S7 will be omitted.

[0062] In this way, the CO is not applied to tag nodes other than the lowest layer. ２ Even if the emission node 201 is connected, CO ２ It is also possible to analyze CO emissions at tag nodes other than the lowest level. ２ Even when the emission node 201 is connected, the analysis results can be visualized.

[0063] Although the first and second embodiments have been described above, these two embodiments may be implemented in combination. Alternatively, one of these two embodiments may be implemented in part. Alternatively, these two embodiments may be implemented in part in combination. Furthermore, the configurations and procedures described in these two embodiments may be modified as necessary.

[0064] *** Supplementary Explanation of Hardware Configuration *** Finally, a supplementary explanation of the hardware configuration of the emission amount management device 100 will be provided. The processor 901 shown in FIG. 18 is an IC (Integrated Circuit) that performs processing. The processor 901 is a CPU (Central Processing Unit), a DSP (Digital Signal Processor), or the like. The main memory device 902 shown in FIG. 18 is a RAM (Random Access Memory). The auxiliary memory device 903 shown in FIG. 18 is a ROM (Read Only Memory), a flash memory, an HDD (Hard Disk Drive), or the like. The communication device 904 shown in FIG. 18 is an electronic circuit that executes data communication processing. The communication device 904 is, for example, a communication chip or a NIC (Network Interface Card).

[0065] The auxiliary storage device 903 also stores an OS (Operating System). At least a portion of the OS is executed by the processor 901. While executing at least a portion of the OS, the processor 901 executes programs that implement the functions of the data management unit 101, the instruction acquisition unit 103, the extraction unit 104, and the visualization unit 105. Task management, memory management, file management, communication control, and the like are performed by the processor 901 executing the OS. At least one of information, data, signal values, and variable values ​​indicating the results of processing by the data management unit 101, the instruction acquisition unit 103, the extraction unit 104, and the visualization unit 105 is stored in at least one of the main storage device 902, the auxiliary storage device 903, a register, and a cache memory within the processor 901. The programs that implement the functions of the data management unit 101, the instruction acquisition unit 103, the extraction unit 104, and the visualization unit 105 may be stored on a portable recording medium such as a magnetic disk, a flexible disk, an optical disk, a compact disk, a Blu-ray (registered trademark) disk, or a DVD. A portable recording medium storing a program for realizing the functions of the data management unit 101, the instruction acquisition unit 103, the extraction unit 104, and the visualization unit 105 may be distributed.

[0066] Furthermore, the "part" in at least one of the data management unit 101, the instruction acquisition unit 103, the extraction unit 104, and the visualization unit 105 may be read as a "circuit," a "process," a "procedure," a "process," or a "circuitry." The emission amount management device 100 may be realized by a processing circuit. The processing circuit is, for example, a logic IC (Integrated Circuit), a GA (Gate Array), an ASIC (Application Specific Integrated Circuit), or an FPGA (Field-Programmable Gate Array). In this case, the data management unit 101, the instruction acquisition unit 103, the extraction unit 104, and the visualization unit 105 are each realized as part of a processing circuit. In this specification, the generic concept of a processor and a processing circuit is referred to as a "processing circuitry." That is, a processor and a processing circuit are each specific examples of "processing circuitry."

[0067] 100 Emission amount management device, 101 Data management unit, 102 Storage unit, 103 Instruction acquisition unit, 104 Extraction unit, 105 Visualization unit, 200 Hierarchical structure data, 201 CO ２ Emission node, 202 tag data, 203 classification tag data, 204 department tag data, 205 equipment tag data, 206 product tag data, 300 visualization information, 901 processor, 902 main storage device, 903 auxiliary storage device, 904 communication device, 905 input / output device.

Claims

1. A data management unit that manages hierarchical structure data including a first hierarchical structure in which a plurality of first nodes corresponding to a first analysis axis which is an analysis axis of greenhouse gas emissions, a second hierarchical structure in which a plurality of second nodes corresponding to a second analysis axis which is an analysis axis of greenhouse gas emissions different from the first analysis axis, and a plurality of emission nodes which are nodes of greenhouse gas emissions, the plurality of first nodes including two or more first connection nodes connecting to any of the emission nodes, and the plurality of second nodes including two or more second connection nodes connecting to any of the emission nodes; a data processing device having an extraction unit that, when any first node is selected as a first selection node and any second node is selected as a second selection node, extracts, for each first connection node, a first node path that is a chain of nodes from the emission node connected to the first connection node via the first connection node to the first selection node, and extracts, for each second connection node, a second node path that is a chain of nodes from the emission node connected to the second connection node via the second connection node to the second selection node.

2. A data processing device as described in claim 1, wherein the extraction unit connects the first node path and the second node path when the discharge node of any of the two or more extracted first node paths is the same as the discharge node of any of the two or more extracted second node paths.

3. The data processing device of claim 2, wherein the extraction unit: when two or more emission nodes are connected to a first connection node by any one of the two or more first node paths, connects the first node path to a second node path having the same emission node for each emission node connected to the first connection node; and when two or more emission nodes are connected to a second connection node by any one of the two or more second node paths, connects the second node path to a first node path having the same emission node for each emission node connected to the second connection node.

4. A data processing device as described in claim 2, wherein the extraction unit manages the two or more first node paths in a tree structure in which overlapping portions are shared, manages the two or more second node paths in a tree structure in which overlapping portions are shared, and connects the first node path and the second node path when the discharge node of any first node path among the two or more first node paths managed in the tree structure is the same as the discharge node of any second node path among the two or more second node paths managed in the tree structure.

5. A data processing device as described in claim 4, wherein the extraction unit connects first node paths and second node paths having the same discharge node between the two or more first node paths managed in the tree structure and the two or more second node paths managed in the tree structure, and after the connected node path, which is the node path after the connection, includes multiple chains of nodes from the first selected node via the first connecting node, the discharge node and the second connecting node to the second selected node, each of the multiple chains of nodes included in the connecting node path is included in one of the multiple node paths after separation, and the node chains included in each of the multiple node paths after separation are different from one another.

6. The data processing device described in claim 5, wherein the extraction unit deletes non-corresponding nodes that do not correspond to any of the first selected node, the second selected node, and the emission node from each of a plurality of separated node paths, which are a plurality of node paths obtained by separating the connecting node paths, and merges two or more separated node paths having the same first selected node and second selected node among the plurality of separated node paths after the non-corresponding nodes have been deleted.

7. The data processing device according to claim 6, further comprising a visualization unit that visualizes greenhouse gas emissions based on the first analysis axis and the second analysis axis using the separated node paths integrated by the extraction unit.

8. A data processing device as described in claim 1, wherein, when each of two or more lower nodes located in a lower hierarchy of any second connection node is selected as the second selection node, the extraction unit apportions the greenhouse gas emissions of the emission node connected to the second connection node among the two or more lower nodes selected as the second selection node.

9. The data processing device of claim 1, wherein the data management unit manages hierarchical structure data including a plurality of first hierarchical structures corresponding to a plurality of first analysis axes, each of the plurality of first hierarchical structures including two or more of the first connecting nodes, and the extraction unit extracts the first node path for each first connecting node of the first selected hierarchical structure when any first hierarchical structure among the plurality of first hierarchical structures is selected as a first selected hierarchical structure and any first node of the first selected hierarchical structure is selected as the first selected node.

10. The data processing device of claim 1, wherein the data management unit manages hierarchical structure data including a plurality of second hierarchical structures corresponding to a plurality of second analysis axes, each of the plurality of second hierarchical structures including two or more of the second connecting nodes, and the extraction unit extracts the second node path for each second connecting node of the second selected hierarchical structure when any second hierarchical structure among the plurality of second hierarchical structures is selected as a second selected hierarchical structure and any second node of the second selected hierarchical structure is selected as the second selected node.

11. A computer manages hierarchical structure data including a first hierarchical structure in which a plurality of first nodes corresponding to a first analysis axis which is an analysis axis of greenhouse gas emissions, a second hierarchical structure in which a plurality of second nodes corresponding to a second analysis axis which is an analysis axis of greenhouse gas emissions different from the first analysis axis, and a plurality of emission nodes which are nodes of greenhouse gas emissions, the plurality of first nodes including two or more first connection nodes connecting to any of the emission nodes, and the plurality of second nodes including two or more second connection nodes connecting to any of the emission nodes; A data processing method in which, when any first node is selected as a first selected node and any second node is selected as a second selected node, the computer extracts, for each first connecting node, a first node path which is a chain of nodes from the emission node connected to the first connecting node via the first connecting node to the first selected node, and extracts, for each second connecting node, a second node path which is a chain of nodes from the emission node connected to the second connecting node via the second connecting node to the second selected node.

12. A data management process for managing hierarchical structure data including a first hierarchical structure in which a plurality of first nodes corresponding to a first analysis axis which is an analysis axis of greenhouse gas emissions, a second hierarchical structure in which a plurality of second nodes corresponding to a second analysis axis which is an analysis axis of greenhouse gas emissions different from the first analysis axis, and a plurality of emission nodes which are nodes of greenhouse gas emissions, wherein the plurality of first nodes include two or more first connection nodes which connect to any of the emission nodes, and the plurality of second nodes include two or more second connection nodes which connect to any of the emission nodes; a data processing program that causes a computer to execute an extraction process in which, when any first node is selected as a first selected node and any second node is selected as a second selected node, for each first connecting node, a first node path that is a chain of nodes from the emission node connected by the first connecting node to the first selected node via the first connecting node, and for each second connecting node, a second node path that is a chain of nodes from the emission node connected by the second connecting node to the second selected node via the second connecting node.

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