Proposed device and proposed method

Abstract

To propose actions that promote the circulation of resources.SOLUTION: A proposal device includes a storage device that stores rule data, which is data indicating a relationship between multiple processes for resources, and a calculation device that executes: an individual task credit data generation process that generates individual task credit data, which is information on tasks that process a specified resource, for multiple tasks; a task combination generation process that generates a proposed flow, which is a task flow composed of any of multiple tasks and which circulates the specified resource, based on the rule data and the generated individual task credit data; and an output process that outputs information indicating the generated proposed flow to an output device.SELECTED DRAWING: Figure 1

Description

[Technical Field]

[0001] The present invention relates to a proposal device and a proposal method. [Background technology]

[0002] In recent years, there has been a trend of investing in companies that are proactive about ESG (Environment, Social, Governance) ESG investment is gaining attention. Generally, companies with high ESG ratings are those that are in line with the social needs of their business. This is because they are increasingly being evaluated as having high social significance and sustainability. This also serves as an appeal to the public that they are contributing to society through their investment.

[0003] ESG investment can be a target of transactions that address global environmental issues. One of the most common global environmental issues is the so-called global warming problem. Carbon credit trading is one example of this. Assign carbon credit creators a method for generating the amount of credits they need The technology for this is a demand acquisition unit that acquires the demand for carbon credits and a Multiple methods for generating credits and the carbon credits of each method a methodology database that stores the carbon credit generation capacity of one or more A creator that associates and stores the JIT creator with the creation method that each creator can realize. Refer to the database and calculate the amount of carbon credits required to generate the above-mentioned demand. One or more creators will allocate one or more creation methods to the extent that each of them is feasible. and an allocation method assignment unit for assigning the allocation method. [Prior art documents] [Patent documents]

[0004] [Patent Document 1] Patent No. 7138390 Summary of the Invention [Problem to be solved by the invention]

[0005] However, there are various important environmental issues, including global warming. One of them is the "biogeochemical cycle." The global warming problem is The main issue is the amount of carbon (carbon dioxide concentration) in the biogeochemical cycle. The problem is that resources are unevenly distributed (e.g., concentrated in certain areas of the world). This becomes a problem.

[0006] Therefore, in order to make appropriate ESG investments regarding biogeochemical cycle issues, In addition to reducing the total amount of resources, we also aim to circulate resources efficiently. Conversely, projects that are the subject of ESG investments should also be It should be constructed from the perspective of

[0007] The present invention has been made in view of the above circumstances, and its purpose is to promote the circulation of resources. To provide a proposal device and a proposal method capable of proposing actions to promote be. [Means for solving the problem]

[0008] One of the present inventions for solving the above problem is a method for identifying the relationship between a plurality of processes with respect to a resource. A storage device for storing rule data, which is data, and information on the business that processes a predetermined resource. Individual business credit data for generating certain individual business credit data for a plurality of businesses Based on the generation process, the rule data, and the generated individual business credit data, A workflow consisting of any two or more of the plurality of tasks, A process for generating a proposed workflow that circulates predetermined resources. and an output process for outputting information indicating the generated proposed flow to an output device. The proposed device is equipped with a device. [Effects of the Invention]

[0009] According to the present invention, it is possible to propose actions that promote resource circulation. Configurations and effects other than those described above will become apparent from the following description of the embodiments. [Brief explanation of the drawings]

[0010] [Figure 1] FIG. 1 is a diagram illustrating an example of a configuration of a proposed system according to an embodiment of the present invention. [Figure 2] FIG. 10 is a diagram illustrating an example of preference rule data. [Figure 3] FIG. 2 is a diagram illustrating an example of a hardware configuration of each information processing device in the proposed system. [Figure 4] FIG. 10 is a flow diagram illustrating an outline of a proposal support process performed in the proposal system. [Figure 5] FIG. 10 is a flowchart illustrating details of an individual project credit data generation process. [Figure 6] FIG. 10 is a diagram showing an example of individual project credit data. [Figure 7] FIG. 10 is a flowchart illustrating details of the individual inter-project preference calculation process. [Figure 8] FIG. 10 is a diagram showing an example of preference table data. [Figure 9] FIG. 10 is a flowchart illustrating details of a project combination generation process. [Figure 10] FIG. 10 is a diagram illustrating an example of an investment proposal screen. [Figure 11] FIG. 10 is a diagram illustrating an example of an investment proposal screen. DETAILED DESCRIPTION OF THE INVENTION

[0011] DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS An embodiment of the present invention will be described in detail with reference to the drawings. FIG. 1 is a diagram showing an example of the configuration of a proposal system 1 according to this embodiment. 1 includes one or more individual project executor devices 10, a credit authority device 20, a provider The information processing device includes a proposal device 30 (intermediary device) and one or more investor devices 40. These information processing devices are connected via, for example, the Internet, LAN (Local Area Network), etc. Area Network), WAN (Wide Area Network), or dedicated line or other wired or wireless communication network. They may be connected via a network or directly via a communication line.

[0012] The investor device 40 is an information processing device used by investors who invest in the following project. It is a management device.

[0013] The individual project executor device 10 is a device for executing a task of processing a predetermined resource (hereinafter referred to as a project). This project is an information processing device managed by a company that runs the For households, it is the subject of so-called ESG investment (ESG: Environment, Social, Governance) This includes the following tasks:

[0014] The project aims to eliminate pollutants such as phosphorus, nitrogen, or potassium. This project is concerned with the biogeochemical cycle of substances. This contributes to the smooth circulation of materials (so that circulating materials are not concentrated in a specific area). The processing carried out in this project is for example separation (removal), purification of a substance, production of another substance, or use of another substance (more on this later) In the present embodiment, the resources targeted by the project are phosphorus, nitrogen, and It shall be potassium.

[0015] The individual project implementer device 10 stores data on the contents of such projects. The project executor data 11 is stored as follows: For example, the resources targeted by the project, information on the area targeted by the project, Information on the amount of resources that can be processed by the project (hereinafter referred to as the processing amount) (the basis for the contribution amount described below) information), and the processing efficiency of that resource (e.g., the removal performance of a resource by a given device). include.

[0016] The credit authority device 20 is an information processing device managed by an authority that certifies projects. It is a device.

[0017] The credit authority device 20 is The registered credit card data 21, which is data on the authentication result (whether authentication was performed, etc.), is stored. In addition, the information on the registered credit data 21 includes the certified result of the amount of contribution, which will be described later. Contains fruit.

[0018] The credit authority device 20 also calculates the distribution or bias of resources targeted by the project. The individual project execution monitoring data 22 is data indicating the current status of the project.

[0019] Individual project execution monitoring data 22 may be collected, for example, by sensors, satellites, or is obtained by remote sensing from a specified device of an aircraft such as a drone, or is a specified data The amount or concentration of resources in each area covered by the project, obtained from the database. The individual project execution monitoring data22 is collected from the above remote centers. It may be generated from image data acquired by the individual project implementation. The transaction monitoring data 22 is collected by the credit authority device 20 in communication with the predetermined device. It may be obtained by receiving the information.

[0020] Next, the proposal device 30 includes an individual project credit data generation unit 31, an individual project The functional units of the inter-project preference calculation unit 32, the project combination generation unit 33, and the output unit 34 are Prepare.

[0021] The individual project credit data generation unit 31 is a unit for processing resources (authenticated projects). Individual business credit data, which is information on the business, is generated for multiple businesses and Store in project credit data 100 (individual business credit data generation process) For example, individual project credit data is data on the area where the project-related work is carried out. For example, individual business credit data includes the type of processing related to the project. Contains data from.

[0022] In addition, the individual project credit data generating unit 31 generates individual business credit data and The data on the contribution amount, which is the amount of resources processed by the process in the project, is then collected. Generate for the project.

[0023] The individual inter-project preference calculation unit 32 calculates the inter-project preference between two consecutive processes that target resources. Rule data, which is information indicating the relationship, is stored as preference rule data 200. Further, the individual inter-project preference calculation unit 32 calculates the preference of each project based on the preference rule data 200. Preference table data 300 is generated that stores the relationship between preferences among projects.

[0024] Specifically, the preference rule data 200 is used to determine whether each of two consecutive processes is performed. The preference indicates the quantitative contribution of the technology to resource circulation.

[0025] For example, preference is the contribution of two consecutive treatments when the treatment areas are the same. This includes the same-area preference (when two consecutive treatments are identical, the preference is In addition, preference is related to the order and type (effect) of two consecutive treatments. It includes effect preference, which indicates the contribution of two consecutive treatments (effects) to each other. (The preference is high when the target of two consecutive treatments is the same.) Includes the same resource preference, which indicates that the resources targeted by two consecutive processes are the same. (High preference when the two are identical).

[0026] Next, the project combination generating unit 33 generates rule data (preference rule data 200 ) and the individual project credit data generated by the individual project credit data generation unit 31. Based on the data, the individual business credit data consists of one of several projects. It is a business flow that consists of multiple projects that circulate resources. A proposed flow is generated (business combination generation process).

[0027] Specifically, the project combination generating unit 33 generates a combination of projects in the circulation of resources based on the preference. A proposal flow is generated in which the preference of the project exceeds a predetermined contribution.

[0028] For example, the project combination generation unit 33 may generate a combination of the same area preference and individual project class. The data generated by the credit data generation unit 31 is used to generate data on the area where the project is to be processed. Based on this, a proposed flow is generated in which the preference of the process in the circulation of the resource exceeds a predetermined contribution.

[0029] In addition, for example, the project combination generation unit 33 may be configured to combine the effect preference and the individual project Based on the data of the type of project processing generated by the credit data generation unit 31, ,generates proposed flows whose processing preferences in resource circulation exceed a,predetermined contribution.

[0030] Furthermore, the project combination generating unit 33 generates a proposed flow and The contribution amount of the resources processed by the flow is calculated by the individual project credit data generating unit 31. The calculation is based on the data of each contribution amount generated in

[0031] The output unit 34 outputs information indicating the flow generated by the project combination generation unit 33. Output to the location (output processing).

[0032] The output unit 34 outputs information indicating the contribution amount calculated by the project combination generation unit 33. Output.

[0033] (Preference rule data) FIG. 2 is a diagram showing an example of preference rule data 200. is the rule ID 201 of each rule, and the data of the resource conditions that make up the rule. The effectiveness of each process of two consecutive projects that constitute a certain target resource 202 and its rules is The effect type 203 is the data of the condition related to the type of effect, and the project The target area 204 is data on the conditions of the area where the process of the project is executed, and the rule It has data on the preference calculation method 205 when applied.

[0034] Calculation method 205 is for one or both of the two consecutive projects to which the rule applies. The increase in preference value for each option is specified.

[0035] In the example shown in the figure, if two consecutive projects both involve processing the same resource, , rule R1 is applied, and 10 is added to the preference of both projects (same resource preference).

[0036] Also, the type of processing (effect) of the first project of two consecutive projects The first project type (effect) is "Refining Project" and the second project type (effect) is "Removal Project". If the project is a "subsequent project," rule R2 is applied and the The preference for the "Removal Project" (the "Project") is increased by 10 (Effect Preference).

[0037] In addition, if two consecutive projects are both carried out in the same region, the rule R1 is applied and both projects are given a preference of 10 (same area preference). .

[0038] Next, FIG. 3 shows one example of the hardware configuration of each information processing device in the proposed system 1. 1 is a diagram illustrating an example of an information processing device. The main memory such as RAM (Random Access Memory) or ROM (Read Only Memory) is A storage device 92 and an external storage device such as a hard disk drive (HDD) or a solid state drive (SSD) A storage device 93, an input device 94 such as a keyboard, a mouse, or a touch panel, and a display output device 95 such as a ray or touch panel, a NIC (Network Interface Card), wireless communication communication module, USB (Universal Serial Interface) module, or serial communication module These devices are connected by a bus 97. It has been done.

[0039] The functions of the functional units of the information processing devices in the proposed system 1 described above are implemented by the arithmetic unit 91 is realized by reading the program from the main memory 92 or the external memory 93 Each program may be distributed by recording it on a portable or fixed recording medium. These programs can be used in whole or in part, for example, Virtualization technology and process space isolation technology, such as the virtual servers provided by Udo Systems, It may also be realized using virtual information processing resources provided using technology, etc. In addition, all or part of these programs may be used by, for example, a cloud system using an API (Ap This may be achieved by a service provided via an Application Programming Interface, etc. . Next, the processing performed by the proposed system 1 will be described.

[0040] FIG. 4 is a flow diagram illustrating an outline of the proposal process performed by the proposal system 1. For example, when the proposal device 30 is started, the project executor data 11, the registered credit When the project data 21 or individual project execution monitoring data 22 is updated Or, when a predetermined input is made from the individual project implementer device 10 to the proposal device 30, It will begin.

[0041] First, the proposal device 30 selects the certified projects (hereinafter referred to as , the individual project credit data 100, which is information on the candidate projects, is generated. The individual project credit data generation process s100 is executed.

[0042] The proposal device 30 then calculates the preference rule data 200 and the individual project credits. Based on the individual project credit data 100 generated in the data generation process s100 , if two candidate projects are carried out consecutively, A process for calculating inter-project preference that generates preference table data 300 storing preferences. Run 200.

[0043] The proposal device 30 calculates the preference table data 3 generated in the inter-project preference calculation process s200. 00, a project combination generation process s300 is executed to generate a proposed flow. .

[0044] The proposal device 30 generates a proposal flow in the project combination generation process s300. Then, an output process s400 is executed to output information related to the proposed flow. will end. Each process will be described in detail below.

[0045] <Individual project credit data generation process> FIG. 5 is a flow chart explaining the details of the individual project credit data generation process s100. Figure.

[0046] The individual project credit data generation unit 31 generates information on the projects of each business operator. The information is acquired (s101).

[0047] For example, the individual project credit data generating unit 31 may The project implementer data 11 is received from the project implementer device 10. The credit data generating unit 31 receives the registered credit data from the credit authentication institution device 20. The data 21 and the individual project execution monitoring data 22 are received.

[0048] The individual project credit data generation unit 31 adds the amount of contribution to the information acquired in s101. Whether or not the data that can be used to calculate the For example, the individual project credit data generating unit 31 checks whether the project credit data is correct (s102). The individual project execution monitoring data22 obtained in 01 is added to the project of each operator. Check whether the data includes data on the amount or concentration of resources in each region of the project.

[0049] If reference data is included (s102:YES), individual project credits The data generation unit 31 executes the process of s103. On the other hand, if the reference data is not included If (s102: NO), the individual project credit data generation unit 31 The processing amount in the executioner data 11 is set to the contribution amount, and then the process of s104 is executed.

[0050] In s103, the individual project credit data generation unit 31 Based on the external data and the project implementer data11 obtained in s101, the amount of contribution is calculated. A correction amount for the processing amount is calculated for the calculation.

[0051] For example, the individual project credit data generation unit 31 may generate the individual project credit data for the area indicated by the reference data. Whether the amount (or concentration) of a resource in a given area is insufficient or excessive relative to a given standard value Then, the individual project credit data generating unit 31 determines whether or not there is a shortage. In this case, the project will involve the use of a type of treatment that can increase the amount (or concentration) of the resource. Identify the projects (e.g., production or application of fertilizer using phosphorus) and A predetermined correction amount (e.g., processing efficiency) is set. On the other hand, individual project credit data If the amount (or concentration) of the resource is excessive, the data generating unit 31 Identify projects that perform the types of processes that can reduce CO2 emissions (e.g., resource removal). ,Setting a predetermined correction amount (e.g., processing efficiency) for the processing amount of the identified project. .

[0052] In s104, the individual project credit data generation unit 31 Based on the information and the correction amount calculated in s103 (if the process of s103 is executed), Based on this, individual project credit data is generated.

[0053] For example, the individual project credit data generating unit 31 may use the information acquired in s101 as The correction amount calculated in s103 is taken into account for the included processing amount (for example, addition or multiplication). The individual project credit data generation section calculates the contribution amount. 31 sets the calculated contribution amount in the individual project credit data 100. The individual project credit data generation unit 31 receives the information from the project in step s101. Among the projects, certified projects are extracted as candidate projects.

[0054] (Individual project credit data) FIG. 6 is a diagram showing an example of the individual project credit data 100. The project credit data 100 includes the project ID 101 of each candidate project, Target resource 102, which is the resource targeted by the candidate project; Effect type 103, which is the type of processing (or its effect) performed on the target resource, and its candidates The target area where the project will be carried out104 and the contributions that the candidate project will achieve It has data on 105 different amounts.

[0055] The effect type 103 may be, for example, removal of the target resource (from a predetermined location) in the target area, Refining of elephant resources, production of other resources or substances using the resources as raw materials (e.g., production of fertilizer) , processing that uses the target resource more sparingly than usual (e.g., processing that uses the minimum amount. For example, advanced processing Fertilizer.), etc.

[0056] <Preference calculation process between individual projects> FIG. 7 is a flow diagram illustrating the details of the individual project preference calculation process s200. The individual inter-project preference calculation process s200 is carried out, for example, when the proposal device 30 receives a request from the manager. It starts when a specific input is received.

[0057] The individual inter-project preference calculation unit 32 reads the preference rule data 200 (s2 01).

[0058] In addition, the individual project preference calculation unit 32 calculates the individual project preference obtained in s101. From the credit data 100, permutations of two candidate projects (two candidate projects (s202).

[0059] The individual inter-project preference calculation unit 32 calculates the inter-project preference between the two candidate projects generated in s202. Select one of the permutations of the selected candidate projects and compare their preferences (same resource preferences) The preference rule data 200 read in s201 (degree, effect preference, same area preference) The information is identified by referring to the above (s203).

[0060] Specifically, the individual inter-project preference calculation unit 32 calculates each of the preference rule data 200. By referring to the record, the target resource 202, effect type 203, or The condition indicated by the target area 204 is selected above and the two candidate projects generated in s202 are used. Determine whether each candidate project in the permutation of projects satisfies the criteria. The inter-object preference calculation unit 32 acquires each preference indicated by the calculation method 205 of the record. The individual inter-project preference calculation unit 32 calculates the current preference for the permutation of the two candidate projects. The obtained preference degrees are added to the current preference degree.

[0061] For example, the individual inter-project preference calculation unit 32 calculates the inter-project preference between the two candidate projects generated in s202. The effect of the first project (refining) and the second project (E1, E2) in the permutation The effect of the project (removal) is the effect of the first process of effect type 203 and the effect of the second process. Records corresponding to the effect of the second process ("Purification Project -> Removal Project") When a record 206 is found, the effect preference ( Get the effect preference of the second (later) project (10). The preference calculation unit 32 calculates the current preference for the permutation of the two candidate projects (E1, E2). The effect preference is added to the preference.

[0062] Next, the individual inter-project preference calculation unit 32 calculates the individual inter-project preference of the project that has been processed in step s203. It is determined whether there is a permutation of two candidate projects (s204). If there are two candidate projects that have not undergone the process of s203 (s204 YES), the individual inter-project preference calculation unit 32 performs the process of s205 to select the permutation. The order of two candidate projects that have not yet undergone S203 processing is as follows: If there is no column (s204: NO), the individual inter-project preference calculation unit 32 performs the process of s205. Execute the process.

[0063] In s205, the individual inter-project preference calculation unit 32 calculates the individual inter-project preference obtained by the processing up to s204. The calculated preferences are stored in the preference table data 300. The degree calculation process s200 ends.

[0064] (Preference table data) FIG. 8 is a diagram showing an example of preference table data 300. The preference table data 300 is a continuous The first candidate project in the permutation of two candidate projects is row 30. 1 and the second candidate project column 302. The data includes the preference 303 for the permutation of the complementary projects. The permutation preference for project E2 after project E1 is 30.

[0065] <Project combination generation process> FIG. 9 is a flow diagram illustrating the details of the project combination generation process s300. The object combination generation process s300 is carried out, for example, when the proposing device 30 receives a predetermined input from an administrator. It was started as a result of the acceptance of

[0066] The project combination generating unit 33 reads the preference table data 300 (s301).

[0067] The project combination generation unit 33 generates a combination of the following for each candidate project in the preference table data 300: The candidate project to be carried out following the candidate project (hereinafter referred to as the previous candidate) Identify the combination (permutation of two candidate projects) of the candidate projects (hereinafter referred to as the next candidate) ( s302).

[0068] For example, the project combination generating unit 33 selects the combination of the project in a row 301 from the preference table data 300. A record is acquired, and among the preferences 303 of each column 302 set in the acquired record, The column 302 with the highest preference is identified.

[0069] If the maximum preference is 2 or more, the project combination generating unit 33 selects a combination of projects based on a predetermined rule. Only one column 302 may be specified according to the rules (e.g., rules regarding project IDs). In addition, the project combination generating unit 33 sets the project combination in the column 302 with the highest preference 303. The candidate project in question is the candidate project in the row 301 from which the record was obtained (i.e., If the previous candidate and the next candidate are the same, that column 302 may be selected.

[0070] The project combination generation unit 33 generates a plurality of permutations based on the permutations identified in s302. The sequence of the candidate projects will determine the pattern (i.e., the proposal flow) that will result in a cycle of candidate projects. Then, the project combination generating unit 33 searches for the searched pattern (s303). Each candidate project that makes up the project combination is selected from the processing targets of the project combination generation process s300. The project combination generation unit 33 excludes the candidate projects from the list. Even if the pattern is not established, it is important to search for patterns that have a certain degree of circulation. Do not interfere.

[0071] The project combination generation unit 33 is a processing target of the project combination generation process s300. It is determined whether or not there are any candidate projects remaining (s304). If there are any remaining projects (s304: YES), the project combination generating unit 33 performs the process of s302. If there are no candidate projects remaining (s304: NO), The combination generating unit 33 executes the process of s305.

[0072] In s305, the project combination generation unit 33 selects the proposals searched for in the process up to s304. Calculate the contribution to the proposed flow.

[0073] Specifically, first, the project combination generation unit 33 selects the proposed flow searched in s304. The contribution amount Ci of n candidate projects i that make up the total contribution amount C(=C1 +C2+···+Cn). Then, the project combination generation unit 33 calculates the contribution amount The total value C of the above is corrected by calculating predetermined parameters related to the candidate projects.

[0074] For example, the project combination generation unit 33 may select the importance parameter of the resource targeted by the proposed flow. Metric R (e.g., importance or criticality, which indicates the degree to which biogeochemical cycles should be made efficient) The total contribution amount C is multiplied by the utility factor (R(C1+C2+···+Cn)). The importance parameter R is, for example, The self-sufficiency rate of each resource in the region, or the economic impact (lost profits, etc.) of a shortage of each resource, etc. Calculation is based on the above.

[0075] Furthermore, for example, the project combination generation unit 33 may determine whether the proposed flow is a complete circulation flow of resources. Whether or not a particular object is a topological sort is determined by determining whether or not topological sorting is possible. Alternatively, the project combination generating unit 33 sets a parameter L that indicates the result of the proposed Calculate the parameter L, which indicates the degree of circulation of the plan flow. Then, generate project combinations. The unit 33 uses this parameter L to correct the total value C of the contributions (L(C1 + C2 + + Cn)). Note that this parameter L is the value chain of the candidate project. This is a parameter that indicates the strength of the signal.

[0076] Furthermore, for example, the project combination generation unit 33 may generate a combination of each candidate project that constitutes the proposed flow. Based on the attributes of the project or the relationship between consecutive candidate projects, the total contribution amount C may be corrected.

[0077] For example, the proposal device 30 may be configured to provide a proposal indicating the business execution capabilities of the business operators who will carry out each candidate project. Information (hereinafter referred to as node strength, for example, the number of past projects implemented, capital etc.) Financial information) is stored in advance or acquired from the individual project implementer device 10. The proposal device 30 receives information indicating the strength of the relationship between businesses (hereinafter referred to as link strength). , information on capital relationships.) are stored in advance or acquired from the individual project implementer device 10.

[0078] Then, the project combination generation unit 33 generates a project combination according to the proposed flow based on the node strength. The parameter, strong connectivity V (the number of candidate projects required to break the connectivity of the proposed flow) Furthermore, the project combination generation unit 33 calculates the number of projects based on the node strength. The parameter related to the proposed flow, the effective edge strong connectivity A (to lose the connectivity of the proposed flow), The number of adjacent candidate projects required for the project group is calculated. The match generation unit 33 uses the vertex strong connectivity V and the effective edge strong connectivity A to calculate the total contribution C. Correct ((V×m+A×n)(C1+C2+C3+...). m and n are V and A respectively. A coefficient representing the weight of .

[0079] Furthermore, the proposal device 30 calculates the contribution amount Ci based on the economic benefit from the execution of the proposed flow. In other words, the proposing device 30 may calculate the associated reference value (s306). The amount of revenue (recurring revenue) of the business operator from implementing the project and the number of candidate projects The total sales amount (total sales) of the business using the target resource is calculated as the forecast. The project combination is stored in the project execution device 10 or acquired from the individual project execution device 10. The generation unit 33 generates a sales ratio (cycle ratio) as a reference value for each candidate project in the proposed flow. Calculate (revenue) / (total sales).

[0080] This allows each business to select its own project even if there are multiple candidate projects with the same contribution amount. It is possible to understand that the economic value of candidate projects differs depending on the scale of the business. The sales ratio shown here is just an example, and other economic indicators may also be used. good.

[0081] Next, the output unit 34 outputs the proposed flow identified in s303 together with the contribution calculated in s305. A designated screen that displays the amount of contribution (and reference value) as information on projects that should be targeted for investment. (hereinafter referred to as the investment proposal screen) is output to a predetermined device (for example, the investor device 40).

[0082] (Investment proposal screen) 10 is a diagram showing an example of an investment proposal screen. This investment proposal screen 1000 shows the investment proposal screen Information about each candidate project that constitutes the circulating proposal flow is displayed in each display area 10 01. In addition, the investment proposal screen 1000 has a display area 1001 between these areas. A circular figure (a circle in the figure) is formed by connecting predetermined figures 1002 (arrows in the figure). It is drawn.

[0083] The investment proposal screen 1000 also displays the contribution amount 1003 for the entire proposal flow. In addition, the display area 1001 for each candidate project displays the contribution amount and and a reference value of 1004 is displayed.

[0084] The output unit 34 outputs the investment flow indicating the candidate projects that were not identified as the proposed flow. A proposal screen may be output.

[0085] Figure 11 shows the investment proposal screen showing candidate projects that were not identified as proposed flows. This investment proposal screen 1100 shows an example of the investment proposal. Information 1101 about the project is displayed.

[0086] As described above, the proposed device 30 of this embodiment processes predetermined resources (nitrogen, phosphorus, potassium). Individual business credit data, which is information on the projects managed by the company, is used for multiple projects. (Individual project credit data 100) and resources (nitrogen, phosphorus, potassium) Data indicating the relationship between multiple processes for each task (preference rule data 200) and Based on the credit data, any one of the above projects A flow of a project consisting of the predetermined resources (candidate projects), and outputting information indicating the generated proposed flow to an output device. .

[0087] That is, the proposal device 30 of this embodiment circulates predetermined resources based on the information of each project. This allows you to generate and present a project flow that , and a combination of projects that promote resource circulation, e.g. biogeochemical circulation. For example, the investment portfolio corresponding to such a combination of projects can be proposed. We can suggest product combinations.

[0088] As described above, according to the proposal device 30 of this embodiment, actions that promote the circulation of resources can be taken. It is possible to make proposals for the

[0089] Furthermore, the proposed device 30 of this embodiment is configured to calculate the resources of each process in two processes that are performed consecutively. A proposed flow is generated based on the preference indicating the contribution of the source to the circulation.

[0090] In this way, the proposed flow is generated based on the preference for two consecutive processes. This will promote more efficient resource circulation.

[0091] Furthermore, the proposal device 30 of this embodiment uses data on the area where the project-related processing is performed. Generate individual business credit data including the following, and execute two consecutive processes in the same region. Based on the same region preference, which indicates the contribution when the two are the same, and the individual business credit data, ,generates the proposed flow.

[0092] In this way, by using the same area preference, it is possible to propose a framework that circulates resources in the same area. This allows us to generate a law that can be used to identify situations where resources are unevenly distributed in a particular area. In a situation where circulation is insufficient, we will promote the circulation of resources in the area and eliminate uneven distribution. It is possible.

[0093] Furthermore, the proposal device 30 of this embodiment provides individual data including data on the type of processing related to the project. Generate separate business credit data and correspond to the order and type of two consecutive processes. The proposal flow is based on the effect preference, which indicates the contribution of the project to the project, and the individual business credit data. Generate.

[0094] In this way, by using effect preference, we can organize the types of treatments that promote resource circulation. This will promote a more efficient circulation of resources. It is possible.

[0095] Furthermore, the proposal device 30 of this embodiment provides information indicating the economic benefits of implementing the project. (In this embodiment, sales ratio) is generated and output.

[0096] This makes it possible to present information about the proposed flow from an economic perspective.

[0097] In addition, the proposal device 30 of this embodiment is configured to Based on the data of the contribution amount, which is the amount of the resource, the contribution amount of the resource processed by the proposed flow is calculated, Information indicating the calculated contribution amount is output.

[0098] In this way, by presenting information on the resource processing volume in the proposed flow, the proposed flow You can find out the extent to which it contributes to resource circulation.

[0099] In addition, the proposed device 30 of this embodiment has the following characteristics of processing in individual business credit data: The parameters (importance parameter R, parameter L, strong vertex connectivity V, strong edge connectivity A) ) and correct the contribution amount based on the calculated parameters.

[0100] This allows the proposed flow for resource circulation to be more clearly understood based on the actual situation of resource circulation or economic circumstances. For example, by using the strong point connectivity V, we can know the contribution of It is possible to consider the risk that the proposed flow will not be established if a small number of businesses cease operations. By using the effective edge strong connectivity A, the number of partnerships between a small number of businesses in the proposal flow can be reduced. This allows you to consider the risk that the proposed flow will not be established if the loop is resolved.

[0101] The resource related to the proposed device 30 of this embodiment is a pollutant. This makes it possible to prevent various environmental pollutions caused by uneven distribution or retention of pollutants.

[0102] The resources related to the proposed device 30 of this embodiment are nitrogen, phosphorus, or potassium. This may result in, for example, the fertility of the oceans, rivers, lakes, and marshes due to an excess of these substances. Prevention of nutrient enrichment, adverse effects on fisheries resources, or agricultural production due to the lack of these substances. This can prevent a decrease in strength (insufficient fertilizer supply).

[0103] The present invention is not limited to the above-described embodiment, and may be modified within the scope of the present invention. The present invention can be implemented using any desired components. The above-described embodiments and modifications are merely examples. The present invention is not limited to these contents as long as the characteristics of the invention are not impaired. Although various embodiments and modifications have been described above, the present invention is not limited to these. Other embodiments that are conceivable within the scope of the technical concept of the present invention are also included in the present invention. Included in the range.

[0104] For example, some of the hardware included in each device of this embodiment may be provided in another device. .

[0105] Furthermore, each program of each device may be provided in another device, or a certain program may be provided in multiple devices. It may consist of several programs, or several programs may be integrated into one program. Good too.

[0106] In this embodiment, the proposal system 1 is a system for making proposals to investors. However, this is not limited to investors, but also applies to those involved in, for example, the promotion of biogeochemical cycles. It may also be a system that provides information to the general public.

[0107] The resources targeted by the proposed system 1 are nitrogen, phosphorus, and potassium, which are mainly described in this embodiment. It is not limited to pollutants, but also applies to pollutants in general, or to any resource circulating in a given area. It is possible.

[0108] The project contents (processing contents, types, etc.) described in this embodiment are merely examples. , may include any business content.

[0109] The contents of the preference rule data 200 described in this embodiment are merely examples. For example, Preference-based rules regarding project execution entities may be established.

[0110] In addition, in the individual project credit data generation process s100 described in this embodiment, The method of calculating the contribution amount is one example, and for example, the transportation process of resources, the specific accuracy of resources, Other factors such as manufacturing method, type of material produced from resources, etc. may also be taken into account. Investor Relations (IR) information, especially environmental performance data, can be used. Cut.

[0111] In addition, the candidate projects in the project combination generation process s300 described in this embodiment How to identify project combinations (proposal flows) (Top trading cycle mechanism) The application of the recycling system is one example, and the composition of candidate projects that can realize (part of) resource circulation is Any algorithm that can find permutations can be employed. [Explanation of symbols]

[0112] 1 Proposal system, 30 Proposal device, 200 Preference rule data, 300 Preference table data data, 100 individual project credit data

Claims

1. A storage device for storing rule data, which is data indicating the relationship between a plurality of processes for a resource. Placement, and Individual business credit data, which is information on business that processes specified resources, is used for multiple businesses. individual business credit data generation processing; Based on the rule data and the generated individual business credit data, A flow of a business operation that is composed of any two or more of the business operations, A business combination generation process for generating a proposed flow, which is a business flow to be circulated; an output process of outputting information indicating the generated proposed flow to an output device; The proposed device comprises a computing device that executes the above.

2. The storage device stores, as the rule data, the respective processes in the two processes that are performed successively. storing preferences indicating the contribution of the process to the circulation of said resources; In the business combination generation process, a predetermined resource is circulated based on the preference. generating a proposed flow in which the preference of the process in the proposed flow exceeds a predetermined contribution; The proposal device according to claim 1 .

3. The storage device stores two processes to be performed successively as preferences in the rule data. storing a same-region preference indicating a contribution when the execution region of the process is the same; In the individual business credit data generation process, the arithmetic unit generating data including data on the area where the processing is performed as git data; In the business combination generation process, the same region preference and the generated process and the data of the area where the predetermined resource is recycled, the processing preference in the circulation of the predetermined resource is determined based on the data of the area where the predetermined resource is recycled. Generate proposal flows that exceed contributions, The proposal device according to claim 2 .

4. The storage device stores two processes to be performed successively as preferences in the rule data. storing effect preferences indicating contributions associated with the order and type of processes; In the individual business credit data generation process, the arithmetic unit generating data of the type of processing as git data; In the process of generating a business combination, the effect preference and the type of the generated process are Based on the data, the preference of the treatment in the circulation of the predetermined resource exceeds a predetermined contribution. Generate a proposed flow, The proposal device according to claim 2 .

5. The computing device generates a combination of tasks in the task combination generation process. Generate information showing profits; In the output process, information indicating the generated economic profit is output. The proposal device according to claim 1 .

6. In the individual business credit data generation process, the arithmetic unit As git data, data on the contribution amount, which is the amount of the predetermined resource processed by the process. for the plurality of tasks, In the business combination generation process, the proposed flow is generated, and the generated The contribution amount of the predetermined resource processed by the proposed flow is calculated by dividing the contribution amount of each of the generated Calculated based on data, In the output process, information indicating the calculated contribution amount is output. The proposal device according to claim 1 .

7. In the task combination generation process, the arithmetic unit Calculating a parameter representing a characteristic of the processing in the individual business credit data; correcting the contribution amount based on the obtained parameters; The proposal device according to claim 6.

8. The storage device stores a rule data that indicates the relationship between a plurality of treatments for a pollutant. Store the data, The computing device In the individual business credit data generation process, information on the business of treating a predetermined pollutant is Generate individual business credit data, which is information, for multiple businesses, In the task combination generation process, the rule data and the generated individual task classes are Based on the credit data, the system is configured by any two or more of the above-mentioned multiple businesses. A proposed flow is a flow of work for circulating the predetermined pollutant. Generate The proposal device according to claim 1 .

9. The storage device stores data indicating the relationship between multiple treatments for nitrogen, phosphorus, or potassium. storing rule data, The computing device In the individual business credit data generation process, nitrogen, phosphorus, or potassium is processed. generate individual business credit data for multiple businesses, which is information on the businesses; In the task combination generation process, the rule data and the generated individual task classes are Based on the credit data, the system is configured by any one of the plurality of businesses. A process flow for circulating the nitrogen, phosphorus, or potassium. Generate a proposed flow, The suggestion device according to claim 8 .

10. The rule data is data indicating the relationship between a plurality of processes on the computing device and resources. A proposed method by an information processing device including a storage device for storing data, the calculation device Individual business credit data, which is information on business that processes specified resources, is used for multiple businesses. individual business credit data generation processing; Based on the rule data and the generated individual business credit data, A flow of a business operation that is composed of any two or more of the business operations, A business combination generation process for generating a proposed flow, which is a business flow to be circulated; an output process of outputting information indicating the generated proposed flow to an output device; A proposed method for performing

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