Prediction System

Abstract

A prediction system is provided that can grasp greenhouse gas emissions during video production. SOLUTION: When first data related to the filming scale of a video production and second data related to a production schedule of the video production are inputted into the prediction system 1, a benchmark activity amount is calculated for each predetermined item based on the first data and the second data, and is displayed on a user terminal U. Furthermore, the prediction system 1 uses a conversion coefficient to calculate greenhouse gas emissions from the benchmark activity amount for each predetermined item of the benchmark activity amount, and displays the calculated greenhouse gas emissions on the user terminal U.

Description

[Technical field]

[0001] The present invention relates to a prediction system for predicting greenhouse gas emissions during video production. [Background technology]

[0002] In recent years, global warming has become a serious social issue, and countries around the world are being called upon to reduce greenhouse gas emissions. In response to this, a system capable of encouraging actions to reduce greenhouse gas emissions has been proposed (see Patent Document 1). In this conventional system, greenhouse gas emissions are calculated from accounting data and matching data, and the calculated greenhouse gas emissions are output in a form that can be visualized. This is expected to enable sports organizations and regions (professional soccer teams and their hometowns) to grasp how much carbon dioxide is being emitted, and encourage actions to reduce carbon dioxide emissions (reduce greenhouse gas emissions). [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2022-187601 Summary of the Invention [Problem to be solved by the invention]

[0004] However, the need to reduce greenhouse gas emissions is not limited to sports organizations and local communities. There is also a need to understand and reduce greenhouse gas emissions in the production of movies, TV dramas, commercials, and other video content. However, no system capable of understanding greenhouse gas emissions during video production has been proposed to date.

[0005] The present invention has been made in consideration of the above problems, and has an object to provide a prediction system that can grasp greenhouse gas emissions during video production. [Means for solving the problem]

[0006] The prediction system of the present invention is a prediction system that predicts greenhouse gas emissions in video production, and the prediction system includes a first data input unit to which first data related to the shooting scale of the video production is input, a second data input unit to which second data related to the production schedule of the video production is input, a benchmark activity amount calculation unit that calculates a benchmark activity amount defined for each specified item as an activity amount related to greenhouse gas emissions based on the input first data and the second data, a benchmark activity amount display processing unit that performs processing to display the calculated benchmark activity amount for each specified item, a memory unit that stores a conversion coefficient for calculating greenhouse gas emissions from the benchmark activity amount for each specified item of the benchmark activity amount, an emission calculation unit that calculates greenhouse gas emissions from the benchmark activity amount for each specified item of the benchmark activity amount using the conversion coefficient, and an emission display processing unit that performs processing to display the calculated greenhouse gas emissions.

[0007] According to this configuration, it is possible to predict greenhouse gas emissions in video production. In this case, a benchmark activity amount set for each predetermined item as an activity amount related to greenhouse gas emissions is calculated and displayed based on the first data related to the filming scale of the video production and the second data related to the production schedule of the video production. Furthermore, using a predetermined conversion coefficient (e.g., a conversion coefficient set by the Ministry of the Environment, etc.), greenhouse gas emissions are calculated from the benchmark activity amount for each predetermined item of the benchmark activity amount and displayed. This allows the user to grasp the greenhouse gas emissions in video production as well as the benchmark activity amount in video production.

[0008] In addition, in the prediction system of the present invention, the first data may include activity amount data for each scale item related to the shooting scale of the video production, and activity amount data for each work item related to individual work of staff members of the video production.

[0009] According to this configuration, the first data related to the filming scale of the video production includes activity amount data for each scale item related to the filming scale of the video production and activity amount data for each task item related to the individual tasks of the video production staff. This allows the benchmark activity amount to be calculated appropriately, taking into account the filming scale of the video production and the individual tasks of the staff.

[0010] In addition, in the prediction system of the present invention, the second data may include data on a type of collaborative work performed in accordance with a production schedule of the video production, and data on a type of individual work performed in accordance with the production schedule of the video production.

[0011] According to this configuration, data on the type of collaborative work performed according to the production schedule of the video production and data on the type of individual work performed according to the production schedule of the video production are used as the second data on the production schedule of the video production. This makes it possible to appropriately calculate the benchmark activity amount by taking into account each of the collaborative work and the individual work of the video production.

[0012] In addition, in the prediction system of the present invention, the conversion coefficient may be set for each electricity supplier, and the prediction system may include a third data input unit into which third data related to the electricity supplier is input, and the emission calculation unit may calculate the greenhouse gas emissions from the benchmark activity amount using data on the conversion coefficient of the electricity supplier determined based on the input third data.

[0013] According to this configuration, greenhouse gas emissions are calculated from the benchmark activity amount using a conversion coefficient set for each electricity supplier (e.g., power company A, power company B, etc.). As a result, even if the electricity used at a filming location, work site, etc. in a video production is procured from different sources, the benchmark activity amount can be appropriately calculated taking into account each electricity supplier.

[0014] In addition, the prediction system of the present invention may include a reduction means display processing unit that performs processing to display candidate reduction means for reducing greenhouse gas emissions in the video production, a fourth data input unit to which fourth data related to a reduction means selected from the candidate reduction means is input, a reduction amount calculation unit that calculates the amount of greenhouse gas emissions reduced by the reduction means determined based on the input fourth data as an amount of greenhouse gas reduction, and a reduction amount display processing unit that performs processing to display the calculated amount of greenhouse gas reduction.

[0015] According to this configuration, candidate reduction measures for reducing greenhouse gas emissions in video production are displayed. When a user selects a reduction measure from the candidate reduction measures, the amount of greenhouse gas emissions reduced by the reduction measure is calculated and displayed as a greenhouse gas reduction amount. This allows the user to understand the reduction measures for reducing greenhouse gas emissions in video production, and also to understand the amount of greenhouse gas reduction reduced by the reduction measure.

[0016] The method of the present invention is a method executed by a prediction system that predicts greenhouse gas emissions in video production, the method including: a first data input step of inputting first data related to the shooting scale of the video production; a second data input step of inputting second data related to a production schedule for the video production; a benchmark activity amount calculation step of calculating a benchmark activity amount defined for each specified item as an activity amount related to greenhouse gas emissions based on the input first data and the second data; and a benchmark activity amount display processing step of performing processing to display the calculated benchmark activity amount for each item, wherein a conversion coefficient is stored in a memory unit of the prediction system for calculating an amount of greenhouse gas emissions from the benchmark activity amount for each specified item of the benchmark activity amount, and the method further includes an emission calculation step of calculating an amount of greenhouse gas emissions from the benchmark activity amount for each specified item of the benchmark activity amount using data of the conversion coefficient, and an emission display processing step of performing processing to display the calculated amount of greenhouse gas emissions.

[0017] This method can also predict greenhouse gas emissions in video production, similar to the above system. In this case, a benchmark activity amount set for each predetermined item as an activity amount related to greenhouse gas emissions is calculated and displayed based on first data related to the filming scale of the video production and second data related to the production schedule of the video production. Furthermore, using a predetermined conversion coefficient (e.g., a conversion coefficient set by the Ministry of the Environment, etc.), greenhouse gas emissions are calculated from the benchmark activity amount for each predetermined item of the benchmark activity amount and displayed. This allows the user to understand the greenhouse gas emissions in video production as well as the benchmark activity amount in video production.

[0018] The program of the present invention is a program executed by a prediction system that predicts greenhouse gas emissions in video production, the program causing the prediction system to execute a first data input process in which first data related to the shooting scale of the video production is input, a second data input process in which second data related to the production schedule of the video production is input, a benchmark activity amount calculation process in which a benchmark activity amount defined for each specified item as an activity amount related to greenhouse gas emissions based on the input first data and second data, and a benchmark activity amount display process in which a process for displaying the calculated benchmark activity amount for each item is performed, wherein a conversion coefficient is stored in a memory unit of the prediction system in order to calculate an amount of greenhouse gas emissions from the benchmark activity amount for each specified item of the benchmark activity amount, and the program further causes the prediction system to execute an emission calculation process in which, using data on the conversion coefficient, a greenhouse gas emission amount is calculated from the benchmark activity amount for each specified item of the benchmark activity amount, and an emission display process in which a process for displaying the calculated greenhouse gas emissions is performed.

[0019] This program can also predict greenhouse gas emissions in video production, similarly to the above system. In this case, a benchmark activity amount set for each predetermined item as an activity amount related to greenhouse gas emissions is calculated and displayed based on first data related to the filming scale of the video production and second data related to the production schedule of the video production. Furthermore, using a predetermined conversion coefficient (e.g., a conversion coefficient set by the Ministry of the Environment, etc.), greenhouse gas emissions are calculated from the benchmark activity amount for each predetermined item of the benchmark activity amount and displayed. This allows the user to understand the greenhouse gas emissions in video production as well as the benchmark activity amount in video production. Effect of the Invention

[0020] According to the present invention, it is possible to grasp the amount of greenhouse gas emissions in video production. [Brief description of the drawings]

[0021] [Figure 1] 1 is an explanatory diagram showing an overall configuration of a prediction system according to an embodiment of the present invention; [Diagram 2] 1 is a block diagram showing a configuration of a prediction system according to an embodiment of the present invention. [Diagram 3] FIG. 2 is a diagram showing an example of first data (data related to the shooting scale of video production). [Figure 4] FIG. 11 is a diagram showing an example of second data (data related to a video production schedule). [Diagram 5] FIG. 13 is a diagram illustrating an example of a calculated benchmark activity amount. [Figure 6] FIG. 1 is a diagram showing an example of a conversion coefficient for calculating the amount of greenhouse gas (carbon dioxide) emissions from the benchmark activity amount. [Figure 7] FIG. 10 is a diagram showing an example of calculated greenhouse gas (carbon dioxide) emissions. [Figure 8] FIG. 1 is a diagram showing an example of greenhouse gas (carbon dioxide) reduction means and reduction amount. [Figure 9] FIG. 2 is a flow diagram illustrating an operation of the prediction system according to the embodiment of the present invention. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0022] A prediction system according to an embodiment of the present invention will be described below with reference to the drawings. In this embodiment, a prediction system used in a carbon calculator that predicts the amount of carbon dioxide emissions in video production such as movies, dramas, and commercials will be exemplified. The prediction system according to this embodiment has a function for calculating the amount of carbon dioxide emissions in video production. These functions are realized by a program stored in the memory area of ​​the prediction system.

[0023] The configuration of a prediction system according to an embodiment of the present invention will be described with reference to the drawings. FIG. 1 is an explanatory diagram showing the overall configuration of the prediction system according to the present embodiment. As shown in FIG. 1, the prediction system 1 according to the present embodiment is connected to a user terminal U via a network N such as the Internet. For example, the prediction system 1 can be configured as a server device (cloud server) that provides a cloud service. The user terminal U can be configured as a personal computer, a smartphone, or the like.

[0024] Fig. 2 is a block diagram showing the configuration of the prediction system 1 of this embodiment. As shown in Fig. 2, the prediction system 1 includes, as functional blocks, an input unit 2 that accepts data input from a user device, a calculation unit 3 that performs various calculations to calculate the amount of carbon dioxide emission, etc., a storage unit 4 that stores various data and programs for calculating the amount of carbon dioxide emission, etc., and a display processing unit 5 that performs processing to display the amount of carbon dioxide emission, etc. on the user device.

[0025] The input section 2 includes a first data input section 20, a second data input section 21, a third data input section 22, and a fourth data input section 23 as functional blocks.

[0026] Data (first data) related to the filming scale of the video production is input to the first data input unit 20. The first data includes data on the amount of activity for each scale item related to the filming scale of the video production and data on the amount of activity for each task item related to the individual tasks of the video production staff.

[0027] FIG. 3 is a diagram showing an example of the first data. As shown in FIG. 3, the first data includes data such as "distance between the shooting location and the base (km)", "number of participants in the shooting (people)", and "number of performers (people)" as data of the amount of activity for each scale item related to the shooting scale of the video production. The first data also includes data of the number of days required for individual work of staff such as "planning (days)", "researcher (days)", "SE (days)", etc. as data of the amount of activity for each work item related to the individual work of the staff of the video production. For example, when data related to the shooting scale of the video production is inputted into the user terminal U such as "distance between the shooting location and the base: 25 km", these data are inputted into the first data input unit 20 as the first data.

[0028] Data (second data) related to the video production schedule is input to the second data input unit 21. The second data includes data on the types of collaborative work performed according to the video production schedule (collaborative work schedule) and data on the types of individual work performed according to the video production schedule (individual work schedule).

[0029] FIG. 4 is a diagram showing an example of the second data. As shown in FIG. 4, the second data includes schedule data from planning to production for each of the collaborative work and the individual work of the production department. For example, the schedule of the collaborative work includes data such as "October 1 (Mon) Planning Meeting", "October 2 (Tue) Planning Presentation", "October 12 (Fri) First Preview of Completed Version". The schedule of the individual work of the production department includes data such as "October 1 (Mon) Research, Adjustment", "October 2 (Tue) Preparation of Various Materials", "October 12 (Fri) Post-Processing Work". For example, when data on the production schedule of video production is inputted into the user terminal U as "October 1 (Mon) Collaborative Work: Planning Meeting, Individual Work (Production Department): Research, Adjustment", etc., the data is inputted into the second data input unit 21 as the second data.

[0030] Data (third data) relating to the power supplier is input to the third data input unit 22. An example of the third data is shown in Fig. 6. As shown in Fig. 6, the third data includes data such as "power company A", "power company B", "power company C", etc. For example, as shown in Fig. 7, when a power supplier for the site where video production is performed (e.g., "power company C") is selected from a plurality of candidate power suppliers at the user terminal U, the selected data "power company C" is input to the third data input unit 22 as the third data.

[0031] Data (fourth data) relating to a reduction means selected from candidates for reduction means described below is input to the fourth data input unit 23. An example of the fourth data is shown in FIG. 8. As shown in FIG. 8, the fourth data includes data such as "use of low-carbon electricity", "100% renewable energy electricity menu", etc. For example, when "electricity usage (space): use of low-carbon electricity" is selected as data relating to a reduction means from candidates for reduction means displayed in a list on a pull-down menu or the like at the user terminal U, the selected data "electricity usage (space): use of low-carbon electricity" is input to the fourth data input unit 23 as the fourth data.

[0032] The calculation unit 3 includes a benchmark activity amount calculation unit 30, an emission amount calculation unit 31, and a reduction amount calculation unit 32 as functional blocks.

[0033] The benchmark activity amount calculation unit 30 has a function of calculating a benchmark activity amount determined for each predetermined item as an activity amount related to carbon dioxide emission based on the first data input to the first data input unit 20 and the second data input to the second data input unit 21. FIG. 5 is a diagram showing an example of the calculated benchmark activity amount. As shown in FIG. 5, the benchmark activity amount includes data such as "personal work space (h)", "shared work space (h)", "clothes (purchased) (worn)". For example, when the first data as shown in FIG. 3 and the second data as shown in FIG. 4 are input by the user terminal U, the benchmark activity amount such as "personal work space: 130.5h", "shared work space: 60h", "clothes (purchased): 10 clothes" is calculated using a benchmark calculation function preset for each predetermined item.

[0034] The emission calculation unit 31 has a function of calculating the amount of carbon dioxide emission from the benchmark activity amount. As shown in FIG. 6, the storage unit 4 stores a conversion coefficient for calculating the amount of carbon dioxide emission from the benchmark activity amount for each predetermined item of the benchmark activity amount. The emission calculation unit 31 calculates the amount of carbon dioxide emission from the benchmark activity amount for each predetermined item of the benchmark activity amount using the conversion coefficient stored in the storage unit 4. In this case, the conversion coefficient is set for each electricity supplier. The emission calculation unit 31 calculates the amount of carbon dioxide emission from the benchmark activity amount using the conversion coefficient data of the electricity supplier determined based on the input third data.

[0035] For example, as shown in Figure 7, assume that "Personal work space: 130.5h" is calculated as the benchmark activity amount, and "Power Company C" is selected as the electricity supplier. The conversion coefficient for "work space" is "0.02441654 (kW / m 2 ) and the conversion factor for "Power Company C" is "0.443 (kg / kWh)" (see Figure 6). In this case, the size of the individual work space is "5m 2" is set as a default value (note that an arbitrary size may be input and set from the user terminal U). Then, based on these data, the emission calculation unit 31 calculates the carbon dioxide emission amount of the "personal work space" as "7.06 kg (= 130.5 h × 5 m) 2 ×0.02441654kW / m 2 × 0.443kg / kWh).

[0036] The reduction amount calculation unit 32 has a function of calculating the amount of carbon dioxide emissions reduced by the reduction means determined based on the fourth data input from the fourth data input unit 23 as the amount of carbon dioxide reduction. In this case, a predetermined coefficient is set for each reduction means. For example, as shown in FIG. 8, assume that "use of low-carbon electricity" is selected as the reduction means for the "shared work space". In this case, the coefficient for "use of low-carbon electricity" may be set by inputting an arbitrary coefficient from the user terminal U, for example, "0.37 (kg / kWh)". Then, based on this data, the reduction amount calculation unit 32 calculates the amount of carbon dioxide reduction for the "shared work space" as "3.21 kg (= 19.47 kg - 16.26 kg (= 60 h x 30 m)". 2 ×0.02441654kW / m 2 × 0.37kg / kWh).

[0037] The display processing unit 5 includes, as functional blocks, a benchmark activity amount display processing unit 50, an emission amount display processing unit 51, a reduction means display processing unit 52, and a reduction amount display processing unit 53.

[0038] The benchmark activity amount display processing unit 50 has a function of performing processing for displaying the benchmark activity amount calculated by the benchmark activity amount calculation unit 30 for each predetermined item of the benchmark activity amount on the user terminal U. In addition, the emission amount display processing unit 51 has a function of performing processing for displaying the carbon dioxide emission amount calculated by the emission amount calculation unit 31 on the user terminal U.

[0039] The reduction means display processing unit 52 has a function of performing processing for displaying candidate reduction means for reducing the amount of carbon dioxide emissions in video production on the user terminal U. In addition, the reduction amount display processing unit 53 has a function of performing processing for displaying the amount of carbon dioxide reduction calculated by the reduction amount calculation unit 32 on the user terminal U.

[0040] The operation of the prediction system 1 configured as above will be described with reference to the flow chart of FIG.

[0041] When predicting carbon dioxide emissions in video production such as movies, dramas, and commercials using prediction system 1 of an embodiment of the present invention, first, data on the scale of filming for the video production (e.g., first data as shown in FIG. 3) is input (S1), data on the production schedule for the video production (e.g., second data as shown in FIG. 4) is also input (S2), and data on the source of electricity procurement (e.g., "electric power company C" as third data) is also input (S3).

[0042] Then, in the prediction system 1, a benchmark activity amount (for example, a benchmark activity amount as shown in FIG. 5) defined for each specified item as an activity amount related to carbon dioxide emissions is calculated based on the input first data, second data, and third data (S4), and processing is performed to display the calculated benchmark activity amount on the user terminal U (S5).

[0043] In addition, in the prediction system 1, the carbon dioxide emission amount (for example, the carbon dioxide emission amount as shown in FIG. 7) is calculated from the calculated benchmark activity amount (S6), and processing is performed to display the calculated carbon dioxide emission amount on the user terminal U (S7).

[0044] Furthermore, in the prediction system 1, processing is performed to display candidate reduction measures for reducing carbon dioxide emissions in video production on the user terminal U (S8). When a reduction measure is selected on the user terminal U, the selected reduction measure (e.g., "Electricity usage (space): Use of low-carbon electricity") is input as fourth data (S9), the amount of carbon dioxide emissions reduced by the reduction measure determined based on the input fourth data (e.g., the amount of carbon dioxide reduction as shown in Figure 8) is calculated (S10), and processing is performed to display the calculated amount of carbon dioxide reduction on the user terminal U (S11).

[0045] According to the prediction system 1 of the present embodiment, it is possible to predict the amount of carbon dioxide emissions in the production of movies, dramas, commercials, and the like. In this case, based on the first data on the scale of filming in the video production and the second data on the production schedule of the video production, the benchmark activity amount determined for each predetermined item as the amount of activity related to the amount of carbon dioxide emissions is calculated and displayed (see FIG. 5). Furthermore, using a predetermined conversion coefficient (e.g., a conversion coefficient determined by the Ministry of the Environment, etc.), the amount of carbon dioxide emissions is calculated from the benchmark activity amount for each predetermined item of the benchmark activity amount and displayed (see FIG. 7). This allows the user to grasp the amount of carbon dioxide emissions in the video production as well as the benchmark activity amount in the video production.

[0046] In this embodiment, the first data related to the filming scale of the video production is the activity amount data for each scale item related to the filming scale of the video production and the activity amount data for each task item related to the individual tasks of the video production staff (see FIG. 3). This allows the benchmark activity amount to be calculated appropriately, taking into account the filming scale of the video production and the individual tasks of the staff.

[0047] In this embodiment, the second data related to the production schedule of the video production is data on the type of collaborative work performed according to the production schedule of the video production and data on the type of individual work performed according to the production schedule of the video production (see FIG. 4). This makes it possible to appropriately calculate the benchmark activity amount by taking into account each of the collaborative work and the individual work in the video production.

[0048] In this embodiment, the carbon dioxide emissions are calculated from the benchmark activity amount using a conversion coefficient set for each power supplier (e.g., power company A, power company B, etc.) (see FIG. 6). This makes it possible to appropriately calculate the benchmark activity amount by taking into account each power supplier, even if the power suppliers for the power used at a filming site, a work site, etc. differ in video production.

[0049] In addition, in this embodiment, candidate reduction measures for reducing the amount of carbon dioxide emissions in video production are displayed. Then, when a reduction measure is selected by the user from the candidate reduction measures, the amount of carbon dioxide emissions reduced by that reduction measure is calculated and displayed as the amount of carbon dioxide reduction (see FIG. 8). This allows the user to grasp the reduction measures for reducing the amount of carbon dioxide emissions in video production, as well as the amount of carbon dioxide reduction reduced by that reduction measure.

[0050] Although the embodiments of the present invention have been described above by way of example, the scope of the present invention is not limited to these, and changes and modifications can be made according to the purpose within the scope of the claims.

[0051] For example, in the above embodiment, the greenhouse gas is carbon dioxide as an example, but the prediction system 1 of the present invention is not limited to this, and can be implemented in the same way for greenhouse gases other than carbon dioxide. [Industrial Applicability]

[0052] As described above, the prediction system of the present invention has the effect of making it possible to grasp the amount of greenhouse gas emissions in video production, and is useful as a carbon calculator that predicts the amount of carbon dioxide emissions in video production such as movies, dramas, and commercials. [Explanation of symbols]

[0053] 1. Prediction System 2 Input section 3. Calculation section 4 Storage section 5. Display Processing Section 20 First data input section 21 Second data input section 22 Third data input section 23 4th Data Entry Section 30 Benchmark activity calculation section 31 Emissions Calculation Department 32 Reduction amount calculation section 50 Benchmark activity amount display processing unit 51 Emissions display processing unit 52 Reduction means display processing unit 53 Reduction amount display processing unit N Network U User Terminal

Claims

1. A prediction system for predicting greenhouse gas emissions in video production, comprising: The prediction system comprises: a first data input unit to which first data relating to the scale of filming of the video production is input; a second data input unit to which second data relating to a production schedule of the video production is input; a benchmark activity amount calculation unit that calculates a benchmark activity amount determined for each predetermined item as an activity amount related to greenhouse gas emissions based on the input first data and the input second data; a benchmark activity amount display processing unit that performs processing for displaying the calculated benchmark activity amount for each predetermined item; a storage unit that stores a conversion coefficient for calculating greenhouse gas emissions from the benchmark activity amount for each predetermined item of the benchmark activity amount; an emission calculation unit that calculates greenhouse gas emission from the benchmark activity amount for each predetermined item of the benchmark activity amount by using the conversion coefficient; an emission display processing unit that performs processing to display the calculated greenhouse gas emission amount; A prediction system comprising:

2. The prediction system according to claim 1 , wherein the first data includes activity amount data for each scale item related to the scale of filming of the video production, and activity amount data for each task item related to individual tasks of staff members of the video production.

3. The prediction system according to claim 1 , wherein the second data includes data on a type of collaborative work performed in accordance with a production schedule of the video production, and data on a type of individual work performed in accordance with the production schedule of the video production.

4. The conversion coefficient is set for each power procurement source, The prediction system includes a third data input unit to which third data related to the power supplier is input, 2. The prediction system according to claim 1, wherein the emission calculation unit calculates the greenhouse gas emission amount from the benchmark activity amount by using data on a conversion coefficient of an electricity supplier determined based on the input third data.

5. a reduction means display processing unit that performs processing to display candidates for reduction means for reducing greenhouse gas emissions in the video production; a fourth data input unit to which fourth data relating to a reduction means selected from the reduction means candidates is input; a reduction amount calculation unit that calculates the amount of greenhouse gas emission reduced by the reduction means determined based on the input fourth data as a reduction amount of greenhouse gas; a reduction amount display processing unit that performs processing for displaying the calculated reduction amount of greenhouse gas; The prediction system of claim 1 , comprising:

6. 1. A method implemented in a prediction system for predicting greenhouse gas emissions in video production, comprising: The method comprises: a first data input step of inputting first data relating to the scale of filming of the video production; a second data input step of inputting second data related to a production schedule of the video production; a benchmark activity amount calculation step of calculating a benchmark activity amount determined for each predetermined item as an activity amount related to greenhouse gas emissions based on the input first data and the input second data; A benchmark activity amount display processing step for performing processing for displaying the calculated benchmark activity amount for each item; Including, a storage unit of the prediction system stores a conversion coefficient for calculating an amount of greenhouse gas emissions from the benchmark activity amount for each predetermined item of the benchmark activity amount, The method further comprises: an emission calculation step of calculating greenhouse gas emission from the benchmark activity amount for each predetermined item of the benchmark activity amount using data of the conversion coefficient; an emission display processing step for performing processing for displaying the calculated greenhouse gas emission amount; A method comprising:

7. A program executed in a prediction system for predicting greenhouse gas emissions in video production, The program further comprises: a first data input process in which first data relating to the scale of filming of the video production is input; a second data input process in which second data relating to a production schedule of the video production is input; a benchmark activity amount calculation process for calculating a benchmark activity amount determined for each predetermined item as an activity amount related to greenhouse gas emissions based on the input first data and the input second data; A benchmark activity amount display process for performing a process of displaying the calculated benchmark activity amount for each item; The above is executed. a storage unit of the prediction system stores a conversion coefficient for calculating an amount of greenhouse gas emissions from the benchmark activity amount for each predetermined item of the benchmark activity amount, The program further includes: an emission calculation process for calculating greenhouse gas emission from the benchmark activity amount for each predetermined item of the benchmark activity amount using data of the conversion coefficient; an emission display process for displaying the calculated greenhouse gas emission amount; A program to execute.

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