Environmental information management device, environmental information management system, and environmental information management method

Abstract

The aim is to enable proposals to companies to promote ESG management and to make it easier for financial institutions to evaluate companies' ESG management. [Solution] The environmental information management device 10 acquires driving information from multiple vehicles owned by contracted businesses while they are driving, calculates a score from the carbon emissions based on the acquired driving information, evaluates each contracted business based on the calculation results, and creates an ESG evaluation report based on the evaluation results.The corporate portal 70 acquires the ESG evaluation report and provides the ESG evaluation report so that it can be viewed in response to access from the contracted business terminal 60, financial institution terminal 80, and insurance company terminal 90 connected to the network 200.

Description

[Technical Field]

[0001] The present invention relates to, for example, an environmental information management device, an environmental information management system, and an environmental information management method. [Background technology]

[0002] Today, environmentally conscious behavior is increasingly required, and carbon-neutral lifestyles and businesses are becoming increasingly important. In corporate management, ESG (Environment, Social, and Governance) management is becoming increasingly important.

[0003] In particular, in the automobile transportation business (passenger automobile transportation business and freight automobile transportation business), CO2 emissions from automobiles have become a global issue and reduction is required. For this reason, automobile transportation businesses need to adapt to environmental changes by adopting a management style that is primarily based on the ESG perspective.

[0004] Such responses are directly linked to loan screening by financial institutions. Some financial institutions have begun offering ESG-compliant loans to companies that are running their businesses with consideration for the environment. For example, it is difficult for small and medium-sized enterprises and unlisted companies to prepare environmental reports, but there is a proposal for technology that collects and visualizes greenhouse gas emissions to promote the preparation of such reports and reduction activities (Patent Document 1).

[0005] Furthermore, reducing CO2 emissions is an important theme in the automobile transportation business. For example, there is a proposal for technology that displays the time-series emissions of a single vehicle or the time-series emissions of all vehicles owned by a company to vehicle drivers (Patent Document 2). [Prior art documents] [Patent documents]

[0006] [Patent Document 1] Japanese Patent Application Publication No. 2023-67712 [Patent Document 2] Japanese Patent Application Publication No. 2018-206167 Summary of the Invention [Problem to be solved by the invention]

[0007] Traditionally, companies have been able to prepare evaluation materials such as environmental reports to publicly communicate the results of their ESG measures, so there are hopes for measures that will enable companies to continue ESG management while further improving their ESG evaluations from financial institutions and other organizations.

[0008] Furthermore, while it has been possible to display and provide vehicle drivers with CO2 emissions data, no proposals have been made to encourage automobile transport companies to promote ESG management as a company, and further measures are expected.

[0009] The present invention has been made in light of this background, and aims to provide an environmental information management device, an environmental information management system, and an environmental information management method that are capable of realizing proposals to companies to promote ESG management, and that also enable financial institutions to easily evaluate companies' ESG management. [Means for solving the problem]

[0010] In order to solve the above-mentioned problems and achieve the above-mentioned objectives, one embodiment of the present invention is an environmental information management device that is characterized by comprising an input unit that inputs driving information during driving from multiple vehicles owned by a contracted business operator, a calculation unit that calculates a score from carbon emissions based on the driving information input by the input unit, an evaluation unit that performs an evaluation for each contracted business operator based on the calculation results of the calculation unit, and a creation unit that creates a report based on the evaluation by the evaluation unit.

[0011] Another embodiment of the present invention is an environmental information management system that includes a device that acquires driving information from multiple vehicles owned by a contracted business operator while they are traveling, calculates a score from carbon emissions based on the acquired driving information, evaluates each contracted business operator based on the calculation results, and creates a report based on the evaluation results, and a portal that is connected to the device via a network, inputs reports from the device, and provides the reports so that they can be viewed in response to access from an external terminal connected to the network.

[0012] Furthermore, another embodiment of the present invention is an environmental information management method for an apparatus for managing environmental information, characterized in that it includes an input step of inputting driving information during driving from multiple vehicles owned by a contracted business operator, a calculation step of calculating a score from carbon emissions based on the driving information input in the input step, an evaluation step of evaluating each contracted business operator based on the calculation results, and a creation step of creating a report based on the evaluation results. [Effects of the Invention]

[0013] According to the present invention, it is possible to realize proposals for promoting ESG management for companies, and furthermore, it is possible for financial institutions to easily evaluate the ESG management of companies. [Brief explanation of the drawings]

[0014] [Figure 1] 1 is a block diagram showing the functions of an environmental information management system according to an embodiment of the present invention. [Figure 2] 1 is a configuration diagram illustrating an example of a hardware configuration of an environmental information management system according to an embodiment of the present invention. [Figure 3] FIG. 2 is a sequence diagram illustrating the operation of the environmental information management system according to the embodiment of the present invention. [Figure 4] FIG. 4 is a sequence diagram illustrating the flow of an ESG evaluation report according to one embodiment of the present invention. [Figure 5] FIG. 1 is an explanatory diagram illustrating a use case of ESG evaluation according to one embodiment of the present invention. [Figure 6] FIG. 1 is an explanatory diagram illustrating a measure proposal for reducing or eliminating CO2 emissions according to one embodiment of the present invention. [Figure 7] FIG. 2 is an explanatory diagram illustrating a CO2 emission situation according to one embodiment of the present invention. [Figure 8] FIG. 10 is a sequence diagram illustrating a process for calculating a standard deviation of CO 2 emission amounts according to an embodiment of the present invention. [Figure 9] FIG. 10 is a sequence diagram illustrating a process for calculating a CO 2 emission score for each contractor according to an embodiment of the present invention. [Figure 10] FIG. 2 is an explanatory diagram illustrating a method for storing driving information according to an embodiment of the present invention. [Figure 11] FIG. 4 is an explanatory diagram illustrating a method for storing vehicle-specific emissions amounts according to an embodiment of the present invention. [Figure 12] FIG. 3 is an explanatory diagram illustrating a method for storing vehicle model information according to an embodiment of the present invention. DETAILED DESCRIPTION OF THE INVENTION

[0015] Hereinafter, an embodiment of the present invention will be described with reference to the drawings. Note that the following description and drawings are merely examples for explaining the present invention, and some omissions and simplifications have been made as appropriate for clarity of explanation. The present invention can also be implemented in various other forms. Furthermore, unless otherwise specified, each component may be singular or plural.

[0016] In the following description, identical or similar components may be designated by the same reference numerals, and redundant description may be omitted. Furthermore, in the following description, various types of information may be described using expressions such as "information" and "table," but the various types of information may also be expressed using other data structures. Furthermore, identification information may be expressed using expressions such as "identification information," "identifier," "name," "ID," and "number," but these are interchangeable. Furthermore, in the following description, "database" will be referred to as "DB," and "table" as "TBL."

[0017] First, the configuration will be described with reference to Figures 1 and 2. Figure 1 is a block diagram showing the functions of an environmental information management system according to this embodiment, and Figure 2 is a configuration diagram showing an example of the hardware configuration of the environmental information management system according to this embodiment.

[0018] The environmental information management system is composed of an environmental information management device 10 and a corporate portal 70, as shown in Fig. 1, for example. The environmental information management device 10 acquires driving information, which is the driving results, directly via a network between the environmental information management device 10 and a plurality of vehicles (vehicle fleet) managed by each contracted business that receives this service, or indirectly via a storage medium, and outputs an ESG evaluation report, which will be described later, to the corporate portal 70 via the network. Here, as an example of a vehicle fleet, a vehicle fleet 50 consisting of a vehicle 51 managed by a contracted business and other vehicles will be taken as an example.

[0019] The corporate portal 70 provides the ESG evaluation report for viewing or outputs it via the network to the contracted business terminal 60 managed by the contracted business, thereby providing feedback on the ESG evaluation. Note that the contracted business terminal 60 may output the above-mentioned driving information directly to the environmental information management device 10, or may output it indirectly via the corporate portal 70.

[0020] The corporate portal 70 can also provide the ESG evaluation report to a financial institution, i.e., a financial institution terminal 80, for viewing or output as information for providing loans to each contracted business. Furthermore, the corporate portal 70 can also provide the ESG evaluation report to an insurance company, i.e., an insurance company terminal 90, for viewing or output as information for calculating insurance amounts for vehicles, etc. for each contracted business.

[0021] The corporate portal 70 includes a company-specific ESG evaluation DB 71 that stores and manages ESG evaluations received (input) from the environmental information management device 10 by company, and an evaluation report providing unit 72 that provides (outputs) ESG evaluation reports to the contracted business operator terminal 60, financial institution terminal 80, and insurance company terminal 90.

[0022] As shown in FIG. 1, the environmental information management device 10 is composed of an input unit 11, a vehicle identification unit 12, a driving information registration unit 13, a driving information DB 14, a CO2 emission calculation unit 15, a vehicle-specific emission DB 16, a CO2 emission score calculation unit 17, a vehicle model information DB 18, an ESG evaluation processing unit 19, a portal input / output unit 20, and the like.

[0023] The input unit 11 inputs vehicle information (such as a registration number for identifying the vehicle) and driving information (see FIG. 10 ) from each vehicle (such as vehicle 51) in the vehicle group 50 via a network. The vehicle identification unit 12 refers to the driving information DB 14 and identifies whether the vehicle is registered based on the vehicle information input by the input unit 11.

[0024] The driving information registration unit 13 registers (stores) driving information related to the vehicle identified by the vehicle identification unit 12 in the driving information DB 14 via the input unit 11. The driving information DB 14 will be described later in FIG. 10. The CO2 emission calculation unit 15 calculates CO2 emissions based on the driving information etc. registered in the driving information DB 14, and registers (stores) the calculated CO2 emissions in the vehicle-specific emission DB 16. The vehicle-specific emission DB 16 will be described later in FIG. 11.

[0025] The CO2 emission score calculation unit 17 calculates a CO2 emission score based on the vehicle-specific emission data registered in the vehicle-specific emission DB 16. The ESG evaluation processing unit 19 has the functions of an evaluation unit and a creation unit, and processes an ESG evaluation based on the CO2 emission score calculated by the CO2 emission score calculation unit 17 and the vehicle information recorded in the vehicle model information DB 18, creates an ESG evaluation report, and outputs it to the portal input / output unit 20. The portal input / output unit 20 outputs the ESG evaluation report created by the ESG evaluation processing unit 19 to the corporate portal 70 via the network.

[0026] 2, the environmental information management device 10, contracted business terminal 60, company portal 70, financial institution terminal 80, insurance company terminal 90, and each vehicle of the vehicle fleet 50 are connected to a network 200 and execute the processing of this embodiment through communication. The contracted business terminal 60, financial institution terminal 80, and insurance company terminal 90 are each equipped with operation devices 61, 81, and 91 that include an input device such as a keyboard and an output device such as a display. These operation devices 61, 81, and 91 are operated by an operator.

[0027] As shown in FIG. 2, the environmental information management device 10 is configured, for example, by a CPU 101 that controls the entire device, a memory 103 that stores programs 102 for processing according to this embodiment to be executed by the CPU 101 (such as the operations of FIGS. 3, 4, 8, and 9 described below) and stores various data during execution, an operation device 104 equipped with a keyboard and a display device, an external storage device 105 that registers (stores) various data in the form of a driving information DB 14, a vehicle-specific emission DB 16, a vehicle type information DB 18, etc., a communication IF 106 that is connected to the network 200 as the input unit 11 and portal input / output unit 20 and controls communication with external terminals, and a bus 107 that is connected to each unit within the device and controls communication of data, signals, etc. within the device.

[0028] Next, the operation will be described with reference to Fig. 3 to Fig. 7. Fig. 3 is a sequence diagram explaining the operation of the environmental information management system according to this embodiment, Fig. 4 is a sequence diagram explaining the flow of the ESG evaluation report according to this embodiment, Fig. 5 is an explanatory diagram explaining a use case of the ESG evaluation according to this embodiment, Fig. 6 is an explanatory diagram explaining a measure proposal for reducing or eliminating CO2 emissions according to this embodiment, and Fig. 7 is an explanatory diagram explaining the CO2 emission situation according to this embodiment.

[0029] As shown in Figure 3, the entire process up to creating the ESG evaluation report is carried out by the vehicle (vehicle 51 is used as an example), the environmental information management device 10, the driving information DB 14, the vehicle-specific emissions DB 16, and the vehicle model information DB 18, and the corporate portal 70 is involved as the output destination of the ESG evaluation report.

[0030] First, the environmental information management device 10 receives access from the vehicle 51 via the input unit 11 (step S31), acquires (inputs) the registration number of the vehicle 51, and identifies whether the vehicle is registered in the driving information DB 14 via the vehicle identification unit 12 (step S32). If the vehicle is identified, the input unit 11 acquires (inputs) driving information from the vehicle 51 (step S33), and the driving information registration unit 13 registers the driving information (step S34).

[0031] Here, when the vehicle 51 is registered for the first time, a process is executed to newly register the vehicle 51 in a record prepared in advance for the vehicle 51. When driving information for a more recent period is to be registered in the past history of the vehicle 51, additional registration is executed.

[0032] Next, the CO2 emission calculation unit 15 reads out driving information for the vehicle 51 for a period required for ESG evaluation from the driving information DB 14, and calculates the CO2 emission (step S35). The CO2 emission calculation unit 15 further registers the calculated CO2 emission in the vehicle-specific emission DB 16 in association with the vehicle 51 (step S36).

[0033] Then, the CO2 emission score calculation unit 17 refers to the vehicle-specific emission DB 16 and calculates a score for the CO2 emission based on the CO2 emission amount calculated by the CO2 emission calculation unit 15 (step S37).

[0034] The ESG evaluation processing unit 19 creates an ESG evaluation report based on the CO2 emission score calculated by the CO2 emission score calculation unit 17 and the vehicle information about the vehicle 51 registered in the vehicle model information DB 18 (step S38). Then, the portal input / output unit 20 outputs the ESG evaluation report created by the ESG evaluation processing unit 19 to the company portal 70 (step S31).

[0035] In this way, the ESG evaluation report for each contracted business is registered in the corporate portal 70. By accessing the corporate portal 70, each contracted business can check the feedback on the ESG evaluation through the ESG evaluation report.

[0036] In this case, the operator of the contracted business that manages the fleet of vehicles 50 operates the contracted business terminal 60 to access the corporate portal 70 (step S41), undergoes user authentication there (step S42), and then requests an ESG evaluation of the contracted business (step S51).

[0037] In response to the request, the company portal 70 refers to the company-specific ESG evaluation DB 71 to read out the corresponding ESG evaluation report (step S43), and the evaluation report provider 72 provides it for viewing or outputs it as a file (step S44). Once the ESG evaluation report is acquired by the contracted business terminal 60, either by providing it for viewing or by inputting it as a file, the ESG evaluation report is displayed on the operation device 61 (step S52).

[0038] Here, we will explain the ESG evaluation report and its display effect using Figure 5 as an example. Figure 5(A) shows the annual CO2 emissions status of Company A, a contracted business operator, in a bar graph. Company A operates a fleet of buses and taxis. Figure 5(A) shows that CO2 emissions are on a declining trend each year from 2020 to 2023. This makes it easy to intuitively understand the annual CO2 emission trends for each vehicle type in the fleet managed by Company A.

[0039] Figure 5(B) shows a pie chart that shows the CO2 emissions (t) of each vehicle (car number 1 to car number 6) of the same model as a percentage of the total. This makes it easy to intuitively compare and verify which car (vehicle) of the same model has high or low CO2 emissions.

[0040] Figure 5(C) shows the monthly CO2 emissions of buses and taxis for the past year in the form of a bar graph compared to the previous year. This allows you to see the monthly trends in CO2 emissions for Company A (compared to the previous year), making it easy to intuitively understand the increase or decrease in emissions by month compared to the previous year.

[0041] Figure 5(D) shows a line graph comparing the deviation values ​​of the CO2 emissions of cars 1 and 3 for the most recent year with the overall average deviation value. This makes it easy to intuitively understand whether the CO2 emissions of the vehicles owned by Company A are higher or lower than the overall average.

[0042] In this embodiment, the ESG evaluation report also includes measures to reduce CO2 emissions and proposals for measures to achieve this. An example of this will be described with reference to FIG. 6. In the case of proposals for measures to reduce CO2 emissions by vehicle, for example, as shown in FIG. 6(A), the operation device 61 may display the following suggestion: "When analyzing the CO2 emissions of your company's vehicles, the CO2 emissions of the entire fleet tend to be higher than average. Car No. 2 in particular has particularly high emissions among all vehicles. Therefore, it is expected that CO2 emissions can be reduced by turning off the engine while idling and by being more accelerating and decelerating. Car No. 3 has significantly lower CO2 emissions than average. By operating the vehicle in the same way as Car No. 3, it is expected that CO2 emissions can be reduced by XX tons per year. Car No. 1 has a longer idling time than the other vehicles. Therefore, by halving the idling time, it is expected that CO2 emissions can be reduced by YY tons per year."

[0043] In addition, when proposing measures to reduce CO2 emissions by changing the vehicles used, for example, as shown in Figure 6(B), the display on the operation device 61 can make a proposal such as, "Of the vehicles owned by your company, vehicles 5 and 6 are older models and emit 1.8 times more CO2 than the latest model (MMM) of the same size. By changing the vehicles used to MMM, it is expected that CO2 emissions will be reduced by ZZt per year and fuel costs will be reduced by approximately 1 million yen."

[0044] The above suggestions will be fed back to each contracted business, and by taking these suggestions into consideration and implementing measures for each vehicle, it will be possible to work towards reducing or eliminating CO2 emissions on a monthly or annual basis.

[0045] For example, banks (financial institutions) can not only help contracted businesses reduce CO2 emissions using existing assets they own, but can also analyze the cost-effectiveness and CO2 reductions of contracted businesses purchasing new vehicles, and use this information as input for lending decisions and preferential interest rates.

[0046] In particular, as in the ESG evaluation report shown in Figure 7, it is possible to add information about the contracted business's efforts to the graph. In this case, not only will it be easier to make the proposals mentioned above, but it will also increase the amount of evaluation material in the ESG evaluation report, making it easier for financial institutions and insurance companies to evaluate it.

[0047] The results of Company A implementing the measures shown in Figure 6 above are shown in Figure 7. Figure 7(A) shows the monthly CO2 emissions for buses and taxis in 2023. CO2 emission reduction measures were introduced in August of that year, and CO2 emissions from both buses and taxis have been decreasing since that August.

[0048] Figure 7(B) shows the CO2 emissions by year from 2020 to 2023. No measures were implemented in 2020, and idling measures were first implemented in 2021. As a result, CO2 emissions from both buses and taxis decreased in 2022. In 2022, more eco-friendly vehicles were introduced. As a result, CO2 emissions from both buses and taxis decreased in 2023.

[0049] Figure 7(C) shows the trends in vehicle maintenance costs by year from 2020 to 2023. No measures were implemented in 2020, and idling measures were first implemented in 2021. As a result, maintenance costs for both buses and taxis decreased in 2022. In 2022, more eco-friendly vehicles were introduced. As a result, maintenance costs for both buses and taxis decreased in 2023.

[0050] Figure 7(D) shows the ESG assessment report for Company A from 2020 to 2023. As for the status of CO2 emissions reduction, the following is listed as the actual results of the implementation of measures: "Your company introduced this service in 2020, implemented idling measures in 2021, and introduced eco-friendly vehicles in 2022. In addition, by introducing XX measures in 2023, you have achieved a reduction in CO2 emissions of ____% compared to when the service began."

[0051] In addition, regarding the trend in vehicle maintenance and management costs, the following will be listed as the actual results of implementing the measures: "By implementing idling measures in 2021, your company was able to reduce fuel costs and reduce maintenance and management costs by approximately 1 million yen in 2022. By introducing eco-friendly vehicles in 2022, maintenance costs and fuel costs were reduced and maintenance and management costs were reduced by 1 million yen."

[0052] Financial institutions will refer to the ESG assessment report when evaluating loans and insurance companies will evaluate vehicle insurance. This ESG assessment report can also be viewed by the contracting business, Company A, and will serve as a reference for confirming the results of the measures implemented and for considering measures to further reduce or eliminate CO2 emissions.

[0053] Next, various calculation processes will be described with reference to Fig. 8 and Fig. 9. Fig. 8 is a sequence diagram illustrating the CO2 emission standard deviation calculation process according to this embodiment, and Fig. 9 is a sequence diagram illustrating the CO2 emission score calculation process for each contractor according to this embodiment.

[0054] In the CO2 emission standard deviation calculation process shown in Fig. 8, the driving information DB 14 and the vehicle-specific emission DB 16 are used in the processing of the CPU 101 in the environmental information management device 10. For example, in the calculation for the vehicle model NNN of company A, information on mileage and refueling information is read from the driving information DB 14, and the CO2 emission amount is calculated (step S81). Here, the formula for calculating the CO2 emission amount in the case of a gasoline vehicle is as follows:

[0055]

number

[0056] In the case of diesel vehicles,

[0057]

number

[0058] This becomes:

[0059] The CO2 emissions thus obtained are registered in the record assigned to vehicle A in the vehicle-specific emission DB 16, and the deviation value TBL is updated. Next, the CO2 emissions in the deviation value table corresponding to all vehicles of vehicle type NNN are read from the vehicle-specific emission DB 16 for a predetermined period, and the average value is calculated (step S82). In this case, the formula for calculating the average value for CO2 emissions is

[0060]

number

[0061] This becomes:

[0062] Once the average value is obtained, the standard deviation value is calculated (step S83). In this case, the formula for calculating the standard deviation value for the CO2 emissions is:

[0063]

number

[0064] Furthermore, the deviation value for the model NNN of company A is calculated (step S84). In this case, the formula for calculating the deviation value for CO2 emissions is

[0065]

number

[0066] This becomes:

[0067] Then, in the vehicle-specific emission DB 16, the master TBL is updated with the emission average value and standard deviation value of vehicle model NNN obtained by the above calculation. Furthermore, the vehicle-specific emission deviation value TBL is updated with the deviation value of vehicle model NNN (company A) obtained by the above calculation.

[0068] 9, the driving information DB14 and the vehicle-specific emission amount DB16 are used in the processing of the CPU 101 in the environmental information management device 10. For example, in the calculation for vehicle model NNN of company A, information on mileage and refueling are read from the vehicle TBL described below in the driving information DB14, and deviation values ​​for all vehicles of company A are read from the vehicle-specific emission amount DB16 from the vehicle-specific emission amount deviation value TBL described below.

[0069] Then, for all of Company A's vehicles, CO2 emissions for each vehicle and for all vehicles in total are calculated, and an ESG evaluation report of the performance and trends as described above is output (step S91). Furthermore, for all of Company A's vehicles, the deviation values ​​of CO2 emissions for each vehicle and for all vehicles in total are calculated as scores, and an ESG evaluation report of the performance and trends as described above is output (step S92).

[0070] Next, specific examples of the DB and TBL will be described with reference to Figures 10, 11, and 12. Figure 10 is an explanatory diagram illustrating the driving information DB 14 according to this embodiment, Figure 11 is an explanatory diagram illustrating the vehicle-specific emission amount DB 16 according to this embodiment, and Figure 12 is an explanatory diagram illustrating the vehicle type information DB 18 according to this embodiment.

[0071] First, the driving information DB 14 will be described with reference to Fig. 10. The driving information DB 14 is composed of a vehicle TBL 14A (Fig. 10(A)) that stores information about vehicles, a driving information TBL 14B (Fig. 10(B)) that stores driving and refueling information, a driving information TBL 14C (Fig. 10(C)) that stores information about idling, and a vehicle maintenance information management TBL 14D (Fig. 10(D)) that stores information about vehicle maintenance.

[0072] Vehicle TBL14A is configured to store, in association with a unique registration number assigned to each vehicle, the company name of the contracting business, the type of vehicle (for example, bus, taxi, or truck), the vehicle type (indicated in the figure as NNN, OOO, PPP, QQQ, etc.) indicating the use such as "standard passenger car," "small freight vehicle," or "light four-wheel passenger car" or the body type such as "sedan," "sports," or "station wagon," the vehicle classification (for example, diesel, gasoline, or hybrid (hereinafter referred to as HV)) indicating the engine type, the vehicle name indicating the car number, the vehicle inspection date (for example, year and month), and the model year (for example, year in the Gregorian calendar).

[0073] For example, Company A has five vehicles registered with registration numbers "00000001" to "00000005," and Company B has four vehicles registered with registration numbers "00000006" to "00000009."

[0074] Company A has registered two diesel buses and three gasoline and hybrid taxis, while Company B has registered four diesel trucks. Vehicle names are assigned by type for each contracted business. For example, in the case of Car A, the two buses are assigned Car No. 1 and Car No. 2. Similarly, the three taxis are assigned Car No. 1, Car No. 2, and Car No. 3. Similarly, in the case of Car B, all of the vehicles are trucks, so they are assigned by region, with Kanto Car No. 1, Kanto Car No. 2, Tohoku Car No. 1, and Tohoku Car No. 2.

[0075] In addition, the driving information TBL14B is configured to store, in association with a unique registration number assigned to each vehicle, the vehicle model, refueling date (year, month, and day), amount of fuel refueled (liters: L), distance traveled (Km) since the last refueling, average driving speed (Km / h), etc., as described above.

[0076] In the driving information TBL14B, information (data) is updated by adding a record each time a vehicle model with the same registration number is refueled. For example, in the case of vehicle number "00000001," it can be seen that refueling was carried out three times in total, on January 3, February 6, and March 5, 2024. For example, as of February 6, 2024, the date of refueling, it is registered that the previous refueling was 72.64 liters, the distance traveled was 550 km, and the average driving speed at that time was 32 km / h.

[0077] In addition, the driving information TBL14C is configured to store, in association with a unique registration number assigned to each vehicle, the idling start time (year, month, day, hour, minute, second), the idling end time (year, month, day, hour, minute, second), whether the engine was running while idling, etc.

[0078] For example, in the case of car number 1 with registration number "00000001," three instances of idling are registered. It can be seen that the engine was not running during the idling period (16 seconds) from 8:10:23 on January 4, 2024 to 8:10:39 on January 4, 2024.

[0079] The vehicle maintenance information management TBL 14D is configured to register and store the amount of money spent in each category, in each year and month, for each unique registration number assigned to each vehicle. Figure 10(D) shows an example of vehicle No. 1 with registration number "00000001." The vehicle maintenance information management TBL 14D shows that the vehicle has incurred maintenance costs of 10,000 yen, 20,000 yen, and 30,000 yen for refueling once a month since January 2020. Similarly, it shows that 200,000 yen in maintenance costs for part replacement was incurred in February 2020, and 300,000 yen in maintenance costs for vehicle inspections was incurred in March of the same year.

[0080] Next, the vehicle-specific emission DB 16 will be described with reference to Fig. 11. The vehicle-specific emission DB 16 is composed of a master TBL 16A (Fig. 11(A)), an individual vehicle emission deviation value TBL 16B (Fig. 11(B)), etc. The master TBL 16A is configured to calculate and register the emission mean value (t) and standard deviation (t) in association with the above-mentioned vehicle type.

[0081] Figure 1A shows an example of vehicle type NNN, and monthly average emissions and standard deviations are stored in association with each other from January 2022. For example, in March 2022, the average emissions is "0.03 t" and the standard deviation is "0.03 t".

[0082] The vehicle-specific emissions deviation value TBL16B is configured to calculate and register the number of operating days per month, total emissions (t), and deviation value in association with the aforementioned registration number. Figure 1B shows the state of registration number "00000001" being updated monthly from January 2022. For example, in May 2022, the number of operating days is 16, the emissions for that month are "0.03 t," and the deviation value is "50."

[0083] Next, the vehicle model information DB 18 will be described with reference to Fig. 12. The information in the vehicle model information DB 18 is assumed to be acquired from an external source and registered in advance. As shown in Fig. 12, the vehicle model information DB 18 is configured to register, in association with a vehicle model defined similarly to that described above, the vehicle manufacturer, the type defined similarly to that described above, the maximum load capacity (weight in tons or number of people), the model year, fuel efficiency information (Km / L), and the like. If the number of contracted businesses increases and there are vehicle models, vehicle manufacturers, and types that are not registered in the vehicle model information DB 18, the information will be updated as appropriate.

[0084] For example, the vehicle model "AAA" is associated with and registered (stored) the vehicle manufacturer "PPP", type "truck", load capacity "10t", model year "2000", and fuel efficiency information "10Km / L". Similarly, the vehicle model "EEE" is associated with and registered (stored) the vehicle manufacturer "TTT", type "bus", load capacity "30 people", model year "2020", and fuel efficiency information "12Km / L".

[0085] As described above, according to this embodiment, it is possible to make proposals to companies to promote ESG management, and further, it becomes possible for financial institutions to easily evaluate companies' ESG management.

[0086] In addition, contracted businesses can now obtain ESG evaluation reports from the company portal, view past performance, and receive policy proposals, enabling them to implement ESG management through trial and error.

[0087] Furthermore, financial institutions can now obtain ESG evaluation reports from corporate portals and view the past performance of borrowers, allowing them to confirm a company's efforts toward ESG management in numerical terms and obtain objective, valuable information for making lending decisions.

[0088] Furthermore, insurance companies can now obtain ESG evaluation reports from their corporate portals and view their customers' past performance, allowing them to confirm a company's efforts toward ESG management in numerical terms and obtain valuable objective information for determining insurance premiums.

[0089] Furthermore, the above-described configurations, functional units, processing units, processing means, etc. may be partially or entirely implemented in hardware, for example, by designing them as integrated circuits. The above-described configurations, functions, etc. may also be implemented in software, with a processor interpreting and executing a program that implements each function. Information such as the programs, tables, and files that implement each function can be stored in a memory, a hard disk, a recording device such as an SSD (Solid State Drive), an IC card, an SD card, a DVD, or other recording media.

[0090] Furthermore, the layout of the various functional units, processing units, and databases of the environmental information management system described above is merely an example, and the layout of the various functional units, processing units, and databases can be changed to an optimal layout in terms of the performance, processing efficiency, communication efficiency, etc. of the hardware and software that these devices are equipped with.

[0091] Furthermore, the configuration (schema, etc.) of the database that stores the various types of data described above can be flexibly changed from the perspective of efficient use of resources, improved processing efficiency, improved access efficiency, improved search efficiency, and the like. [Explanation of symbols]

[0092] 10 Environmental information management device 11 Input section 12 Vehicle Identification Unit 13 Driving Information Registration Department 14 Driving Information DB 15 CO2 emissions calculation department 16 Emissions DB by vehicle type 17 CO2 Emissions Score Calculation Section 18 Vehicle Information DB 19 ESG evaluation processing section 20 Portal input / output section 50 vehicles 51 vehicles 60 Contracted carrier terminal 61,81,91,104 Control devices 70 Corporate Portal 71 Corporate ESG Evaluation DB 72 Evaluation Report Providing Department 80 Financial institution terminals 90 Insurance Company Terminals 101 CPU 102 Programs 103 memory 105 External storage device 106 Communication I / F 107 Bus

Claims

1. An environmental information management device, an input unit for inputting driving information from a plurality of vehicles owned by a contracted business; a calculation unit that calculates a score from carbon emissions based on the driving information input by the input unit; an evaluation unit that performs evaluation for each of the contracted businesses based on the calculation results of the calculation unit; a creation unit that creates a report based on the evaluation by the evaluation unit; An environmental information management device comprising:

2. 2. The environmental information management device according to claim 1, wherein the evaluation unit performs an ESG (environmental, social, and governance) evaluation.

3. 2. The environmental information management device according to claim 1, wherein the creation unit creates a report on one of the following: an evaluation of carbon emissions, proposals and predictions of measures to reduce carbon emissions, and an improvement status of carbon emissions.

4. 2. The environmental information management device according to claim 1, further comprising a storage unit for storing in advance information about the vehicle to be evaluated by said evaluation unit.

5. 2. The environmental information management device according to claim 1, wherein the calculation unit calculates the carbon emission amount for each vehicle type, and applies a standard deviation when calculating the amount.

6. 2. The environmental information management device according to claim 1, wherein the calculation unit obtains a carbon emission amount for each of the contracted businesses and calculates a score.

7. An environmental information management system, comprising: a device that acquires driving information from a plurality of vehicles owned by a contracted business operator while driving, calculates a score from carbon emissions based on the acquired driving information, evaluates each contracted business operator based on the calculation result, and creates a report based on the evaluation result; a portal connected to the device via a network, which receives a report from the device and provides the report in a viewable manner in response to access from an external terminal connected to the network; An environmental information management system equipped with:

8. 8. The environmental information management system according to claim 7, wherein the device performs an ESG (environmental, social, and governance) evaluation.

9. 8. The environmental information management system according to claim 7, wherein the device creates a report on one of the following: evaluation of carbon emissions; proposal and prediction of measures to reduce carbon emissions; and improvement status of carbon emissions.

10. 10. The environmental information management system according to claim 9, wherein the portal outputs the report to an external terminal of a financial institution or the like via the network.

11. 10. The environmental information management system according to claim 9, wherein the portal outputs the report to a terminal of the contracted business via the network.

12. 10. The environmental information management system according to claim 9, wherein the portal outputs the report as a graph.

13. An environmental information management method for an apparatus that manages environmental information, comprising: an input step of inputting driving information from a plurality of vehicles owned by the contracted business; a calculation step of calculating a score from carbon emissions based on the driving information input in the input step; an evaluation step of evaluating each contracted business operator based on the calculation results; a creating step of creating a report based on the evaluation results; An environmental information management method comprising:

14. 14. The environmental information management method according to claim 13, wherein the evaluation step includes carrying out an ESG (environmental, social, and governance) evaluation.

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