Forecasting system

Abstract

To provide a forecasting system capable of grasping the emission amount of green-house effect gas in video production.SOLUTION: When first data related to the scale of shooting in video production and second data related to a schedule of video production are inputted, a forecasting system 1 calculates a benchmark amount of activity for each of predetermined items, based on the first and second data and displays the same on a user terminal U. Furthermore, the forecasting system 1 calculates an emission amount of green-house effect gas from the benchmark amount of activity for each of predetermined items of the benchmark amount of activity, using a conversion coefficient and displays the same on the user terminal U.SELECTED DRAWING: Figure 1

Description

Technical Field

[0001] The present invention relates to a prediction system for predicting the emission amount of greenhouse gases in video production.

Background Art

[0002] In recent years, global warming has become a serious social problem, and countries around the world are required to reduce greenhouse gas emissions. Therefore, conventionally, for example, a system that can encourage actions to reduce greenhouse gas emissions has been proposed (see Patent Document 1). In this conventional system, the greenhouse gas emission amount is calculated from accounting data and matching data, and the calculated greenhouse gas emission amount is output in a state where it can be visualized. As a result, it is expected that sports organizations and regions (professional soccer teams and their hometowns) can grasp how much carbon dioxide is being emitted, and can encourage actions to reduce carbon dioxide emissions (reduce greenhouse gas emissions).

Prior Art Documents

Patent Documents

[0003]

Patent Document 1

Summary of the Invention

Problems to be Solved by the Invention

[0004] By the way, the reduction of greenhouse gas emissions is required not only for sports organizations and regions. In video production such as movies, dramas, and commercials, it is also required to grasp and reduce greenhouse gas emissions. However, a system that can grasp the greenhouse gas emission amount in video production has never been proposed so far.

[0005] The present invention has been made in view of the above problems, and an object thereof is to provide a prediction system that can grasp the greenhouse gas emission amount in video production.

Means for Solving the Problem

[0006] The prediction system of the present invention is a prediction system for predicting the emission amount of greenhouse gases in video production. 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 predetermined item as an activity amount related to the emission amount of greenhouse gases based on the input first data and 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 in which a conversion coefficient for calculating the emission amount of greenhouse gases from the benchmark activity amount is stored for each predetermined item of the benchmark activity amount, an emission amount calculation unit that calculates the emission amount of greenhouse gases from the benchmark activity amount for each predetermined item of the benchmark activity amount using the conversion coefficient, and an emission amount display processing unit that performs processing for displaying the calculated emission amount of greenhouse gases.

[0007] According to this configuration, the emission amount of greenhouse gases in video production can be predicted. In this case, based on the first data related to the shooting scale of the video production and the second data related to the production schedule of the video production, a benchmark activity amount defined for each predetermined item as an activity amount related to the emission amount of greenhouse gases is calculated and displayed. Further, using a predetermined conversion coefficient (for example, a conversion coefficient determined by the Ministry of the Environment, etc.), the emission amount of greenhouse gases is calculated and displayed from the benchmark activity amount for each predetermined item of the benchmark activity amount. Thereby, the user can grasp the emission amount of greenhouse gases in video production together with the benchmark activity amount in video production.

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

[0009] According to this configuration, as the first data regarding the shooting scale of video production, data on the activity volume for each scale item regarding the shooting scale of video production and data on the activity volume for each work item regarding the individual work of the video production staff are used. Thereby, benchmark activity volume can be appropriately calculated taking into account the shooting scale of video production and the individual work of the staff respectively.

[0010] Also, in the prediction system of the present invention, the second data may include data on the type of joint work performed along the production schedule of the video production and data on the type of individual work performed along the production schedule of the video production.

[0011] According to this configuration, as the second data regarding the production schedule of video production, data on the type of joint work performed along the production schedule of the video production and data on the type of individual work performed along the production schedule of the video production are used. Thereby, benchmark activity volume can be appropriately calculated taking into account the joint work and individual work of video production respectively.

[0012] Also, in the prediction system of the present invention, the conversion coefficient is set for each power procurement source, the prediction system includes a third data input unit to which the third data regarding the power procurement source is input, and the emission amount calculation unit may calculate the emission amount of greenhouse gas from the benchmark activity volume using the data of the conversion coefficient of the power procurement source determined based on the input third data.

[0013] According to this configuration, the emission amount of greenhouse gas is calculated from the benchmark activity volume using the conversion coefficient set for each power procurement source (for example, power company A, power company B...). Thereby, even when the power procurement sources for the power used at the shooting site or work site etc. in video production are different, benchmark activity volume can be appropriately calculated taking into account each power procurement source.

[0014] In addition, the prediction system of the present invention may include a reduction means display processing unit that performs a process for displaying candidates for reduction means for reducing the emission amount of greenhouse gases in the video production, a fourth data input unit into which fourth data regarding the reduction means selected from among the candidates for the reduction means is input, a reduction amount calculation unit that calculates, as the reduction amount of greenhouse gases, the emission amount of greenhouse gases reduced by the reduction means determined based on the input fourth data, and a reduction amount display processing unit that performs a process for displaying the calculated reduction amount of greenhouse gases.

[0015] According to this configuration, candidates for reduction means for reducing the emission amount of greenhouse gases in video production are displayed. When a reduction means is selected by the user from among the candidates for the reduction means, the emission amount of greenhouse gases reduced by the reduction means is calculated and displayed as the reduction amount of greenhouse gases. Thereby, it is possible to grasp the reduction means for reducing the emission amount of greenhouse gases in video production and the reduction amount of greenhouse gases reduced by the reduction means.

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

[0017] Also by this method, similar to the above system, the amount of greenhouse gas emissions in video production can be predicted. In this case, based on the first data related to the shooting scale of the video production and the second data related to the production schedule of the video production, a benchmark activity amount defined for each predetermined item as an activity amount related to the amount of greenhouse gas emissions is calculated and displayed. Further, using a predetermined conversion coefficient (for example, a conversion coefficient defined by the Ministry of the Environment, etc.), the amount of greenhouse gas emissions is calculated and displayed from the benchmark activity amount for each predetermined item of the benchmark activity amount. Thereby, the user can grasp the amount of greenhouse gas emissions in video production together with the benchmark activity amount in video production.

[0018] The program of the present invention is a program executed by a prediction system for predicting the amount of greenhouse gas emissions in video production. The program causes the prediction system to execute: a first data input process for inputting first data related to the shooting scale of the video production; a second data input process for inputting second data related to the production schedule of the video production; a benchmark activity amount calculation process for calculating, based on the input first data and second data, a benchmark activity amount defined for each predetermined item as an activity amount related to the amount of greenhouse gas emissions; and a benchmark activity amount display process for performing a process for displaying the calculated benchmark activity amount for each item. In the storage unit of the prediction system, a conversion coefficient for calculating the amount of greenhouse gas emissions from the benchmark activity amount is stored for each predetermined item of the benchmark activity amount. The program further causes the prediction system to execute an emission amount calculation process for calculating, using the data of the conversion coefficient, the amount of greenhouse gas emissions from the benchmark activity amount for each predetermined item of the benchmark activity amount, and an emission amount display process for performing a process for displaying the calculated amount of greenhouse gas emissions.

[0019] Also by this program, similar to the above system, the amount of greenhouse gas emissions in video production can be predicted. In this case, based on the first data related to the shooting scale of the video production and the second data related to the production schedule of the video production, a benchmark activity amount defined for each predetermined item as an activity amount related to the amount of greenhouse gas emissions is calculated and displayed. Further, using a predetermined conversion coefficient (for example, a conversion coefficient determined by the Ministry of the Environment, etc.), the amount of greenhouse gas emissions is calculated and displayed from the benchmark activity amount for each predetermined item of the benchmark activity amount. Thereby, the user can grasp the amount of greenhouse gas emissions in video production together with the benchmark activity amount in video production.

Advantages of the Invention

[0020] According to the present invention, the amount of greenhouse gas emissions in video production can be grasped.

Brief Description of the Drawings

[0021]

Figure 1

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Embodiments for Carrying Out the Invention

[0022] Hereinafter, the prediction system according to the embodiment of the present invention will be described with reference to the drawings. In this embodiment, the case of a prediction system used for a carbon calculator or the like that predicts the carbon dioxide emission amount in video production such as movies, dramas, and CM is exemplified. The prediction system of this embodiment has functions such as calculating the carbon dioxide emission amount in video production. These functions are realized by a program stored in a memory area or the like of the prediction system.

[0023] The configuration of the prediction system according to the 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 the user terminal U via a network N such as the Internet. For example, the prediction system 1 can be configured by a server device (cloud server) that provides cloud services. Further, the user terminal U can be configured by a personal computer, a smartphone, or the like.

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

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

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

[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 (km) between the shooting location and the base", "number of people participating in the shooting (persons)", and "number of performers (persons)" as the amount of activity for each scale item related to the shooting scale of video production. In addition, the first data includes data on the number of days required for individual work of staff such as "planning (days)", "researcher (days)"... "SE (days)" as the amount of activity for each work item related to the individual work of the video production staff. For example, when the user terminal U inputs data related to the shooting scale of video production as "distance between the shooting location and the base: 25 km"... etc., those data are input into the first data input unit 20 as the first data.

[0028] Data related to the production schedule of video production (second data) is input into the second data input unit 21. The second data includes data on the types of joint work (joint work schedule) and data on the types of individual work (individual work schedule) carried out in accordance with the production schedule of video production.

[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 joint work and the individual work of the production department. For example, the joint work schedule includes data such as "planning meeting on October 1 (Monday)", "planning presentation on October 2 (Tuesday)"... "first trial screening of the completed first issue on October 12 (Friday)". In addition, the individual work schedule of the production department includes data such as "research and adjustment on October 1 (Monday)", "creation of various materials on October 2 (Tuesday)"... "post-processing work on October 12 (Friday)". For example, when the user terminal U inputs data related to the production schedule of video production as "joint work on October 1 (Monday): planning meeting, individual work (production department): research and adjustment"... etc., those data are input into the second data input unit 21 as the second data.

[0030] In the third data input unit 22, data related to the power procurement destination (third data) is input. 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", and so on. For example, as shown in FIG. 7, when the user terminal U selects the power procurement destination (for example, "Power Company C") at the site where video production is performed from among a plurality of power procurement destination candidates, the selected data "Power Company C" is input as the third data to the third data input unit 22.

[0031] In the fourth data input unit 23, data related to the reduction means selected from among the candidates for the reduction means described later (fourth data) is input. 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 power", "100% renewable energy electricity menu", and so on. For example, when the user terminal U selects "Power use (space): Use of low-carbon power" as data related to the reduction means from among the candidates for the reduction means listed in a pull-down menu or the like, the selected data "Power use (space): Use of low-carbon power" is input as the fourth data to the fourth data input unit 23.

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

[0033] The benchmark activity amount calculation unit 30 has a function of calculating a benchmark activity amount defined for each predetermined item as an activity amount related to the carbon dioxide emission amount 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 "Individual business space (h)", "Shared business space (h)"... "Clothes (purchased and 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, using the function for benchmark calculation preset for each predetermined item, benchmark activity amounts such as "Individual business space: 130.5 h", "Shared business space: 60 h"... "Clothes (purchased): 10 pieces" are calculated.

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

[0035] For example, as shown in FIG. 7, when "Individual business space: 130.5 h" is calculated as the benchmark activity amount, assume that "Power company C" is selected as the power procurement source. The conversion coefficient of "Business space" is "0.02441654 (kW / m 2 )", and the conversion coefficient of "Power company C" is "0.443 (kg / kWh)" (see FIG. 6). Also, in this case, the area of the individual business space is "5 m 2」 is set as the default value (note that the user terminal U may also input and set an arbitrary size). Then, based on these data, the emission amount calculation unit 31 calculates the carbon dioxide emission amount of the "individual business space" as "7.06 kg (= 130.5 h × 5 m 2 × 0.02441654 kW / m 2 × 0.443 kg / kWh)」.

[0036] The reduction amount calculation unit 32 has a function of calculating, as the carbon dioxide reduction amount, the carbon dioxide emission amount reduced by the reduction means determined based on the fourth data input from the fourth data input unit 23. In this case, a predetermined coefficient is set for each reduction means. For example, as shown in FIG. 8, assuming that "using low-carbon power" is selected as the reduction means for the "joint business space". In this case, an arbitrary coefficient may be input and set from the user terminal U as the coefficient of "using low-carbon power", for example, it may be input as "0.37 (kg / kWh)". Then, based on these data, the reduction amount calculation unit 32 calculates the carbon dioxide reduction amount of the "joint business space" as "3.21 kg (= 19.47 kg - 16.26 kg (= 60 h × 30 m 2 × 0.02441654 kW / m 2 × 0.37 kg / 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, on the user terminal U, the benchmark activity amount calculated by the benchmark activity amount calculation unit 30 for each predetermined item of the benchmark activity amount. Further, the emission amount display processing unit 51 has a function of performing processing for displaying, on the user terminal U, the carbon dioxide emission amount calculated by the emission amount calculation unit 31.

[0039] The reduction means display processing unit 52 has a function of performing processing for displaying candidates for reduction means for reducing the amount of carbon dioxide emissions in video production on the user terminal U. Further, 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] Regarding the prediction system 1 configured as described above, its operation will be described with reference to the flowchart of FIG. 9.

[0041] When predicting the amount of carbon dioxide emissions in video production such as movies, dramas, and CM using the prediction system 1 according to the embodiment of the present invention, first, data related to the shooting scale of video production (for example, the first data as shown in FIG. 3) is input (S1), and data related to the production schedule of video production (for example, the second data as shown in FIG. 4) is input (S2). Further, data related to the power supply source (for example, "Power Company C" as the third data) is input (S3).

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

[0043] Also, in the prediction system 1, the amount of carbon dioxide emissions (for example, the amount of carbon dioxide emissions as shown in FIG. 7) is calculated from the calculated benchmark activity amount (S6), and processing for displaying the calculated amount of carbon dioxide emissions on the user terminal U is performed (S7).

[0044] Furthermore, in the prediction system 1, a process for displaying candidates for reduction means for reducing the carbon dioxide emissions in video production is performed on the user terminal U (S8). When a reduction means is selected on the user terminal U, the selected reduction means (for example, "power consumption (space): use of low-carbon power") is input as fourth data (S9). Based on the input fourth data, the amount of carbon dioxide emissions to be reduced by the determined reduction means (for example, the amount of carbon dioxide reduction as shown in FIG. 8) is calculated (S10), and a process for displaying the calculated amount of carbon dioxide reduction is performed on the user terminal U (S11).

[0045] According to the prediction system 1 of this embodiment, the carbon dioxide emissions in video production such as movies, dramas, and commercials can be predicted. In this case, based on the first data regarding the shooting scale of video production and the second data regarding the production schedule of video production, the benchmark activity amounts defined for each predetermined item as the activity amounts related to the carbon dioxide emissions are calculated and displayed (see FIG. 5). Furthermore, using a predetermined conversion coefficient (for example, a conversion coefficient determined by the Ministry of the Environment, etc.), the carbon dioxide emissions are calculated and displayed from the benchmark activity amounts for each predetermined item of the benchmark activity amounts (see FIG. 7). Thereby, the user can grasp the carbon dioxide emissions in video production together with the benchmark activity amounts in video production.

[0046] Also, in this embodiment, as the first data regarding the shooting scale of video production, data on the activity amounts for each scale item regarding the shooting scale of video production and data on the activity amounts for each work item regarding the individual work of the staff in video production are used (see FIG. 3). Thereby, the benchmark activity amounts can be appropriately calculated in consideration of the shooting scale of video production and the individual work of the staff respectively.

[0047] In addition, in the present embodiment, as the second data regarding the production schedule of video production, data on the types of joint work performed in accordance with the production schedule of video production and data on the types of individual work performed in accordance with the production schedule of video production are used (see Fig. 4). Thereby, the benchmark activity amount can be appropriately calculated in consideration of the joint work and individual work of video production respectively.

[0048] In addition, in the present embodiment, the carbon dioxide emission amount is calculated from the benchmark activity amount using the conversion coefficient set for each power procurement source (for example, power company A, power company B,...) (see Fig. 6). Thereby, even when the power procurement sources for the power used at the shooting site, work site, etc. in video production are different, the benchmark activity amount can be appropriately calculated in consideration of each power procurement source.

[0049] In addition, in the present embodiment, candidates for reduction means for reducing the carbon dioxide emission amount in video production are displayed. When a user selects a reduction means from among the candidates for reduction means, the carbon dioxide emission amount reduced by the reduction means is calculated and displayed as the carbon dioxide reduction amount (see Fig. 8). Thereby, it is possible to grasp the reduction means for reducing the carbon dioxide emission amount in video production and the carbon dioxide reduction amount reduced by the reduction means.

[0050] As described above, the embodiments of the present invention have been described by way of example, but the scope of the present invention is not limited to these, and it can be changed and modified according to the purpose within the scope described in the claims.

[0051] For example, in the above embodiment, the case where the greenhouse gas is carbon dioxide has been exemplified, but the prediction system 1 of the present invention is not limited to this, and the present invention can be similarly implemented for greenhouse gases other than carbon dioxide.

Industrial Applicability

[0052] As described above, the prediction system according to the present invention has an effect of being able to grasp the emission amount of greenhouse gases in video production, and is useful as a carbon calculator or the like for predicting the carbon dioxide emission amount in video production such as movies, dramas, and commercials.

Explanation of Signs

[0053] 1 Prediction system 2 Input unit 3 Calculation unit 4 Storage unit 5 Display processing unit 20 First data input unit 21 Second data input unit 22 Third data input unit 23 Fourth data input unit 30 Benchmark activity amount calculation unit 31 Emission amount calculation unit 32 Reduction amount calculation unit 50 Benchmark activity amount display processing unit 51 Emission amount 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 the emission amount of greenhouse gases in video production, wherein the prediction system comprises a first data input unit for inputting first data related to the shooting scale of the video production, a second data input unit for inputting second data related to the production schedule of the video production, a benchmark activity amount calculation unit for calculating a benchmark activity amount defined for each predetermined item as an activity amount related to the emission amount of greenhouse gases based on the input first data and second data, a benchmark activity amount display processing unit for performing processing for displaying the calculated benchmark activity amount for each predetermined item, a storage unit for storing a conversion coefficient for calculating the emission amount of greenhouse gases from the benchmark activity amount for each predetermined item of the benchmark activity amount, an emission amount calculation unit for calculating the emission amount of greenhouse gases from the benchmark activity amount for each predetermined item of the benchmark activity amount using the conversion coefficient, an emission amount display processing unit for performing processing for displaying the calculated emission amount of greenhouse gases, and is provided with a prediction system.

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

3. The prediction system according to claim 1, wherein the second data includes data on the type of joint work performed in accordance with the production schedule of the video production and data on the 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 is provided with a third data input unit for inputting third data related to the power procurement source, and the emission amount calculation unit calculates the emission amount of greenhouse gases from the benchmark activity amount using the data of the conversion coefficient of the power procurement source determined based on the input third data. The prediction system according to claim 1.

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

6. A method executed by a prediction system for predicting the amount of greenhouse gas emissions in video production, The method includes: A first data input step in which first data related to the shooting scale of the video production is input; A second data input step in which second data related to the production schedule of the video production is input; A benchmark activity amount calculation step of calculating, for each predetermined item, a benchmark activity amount defined as an activity amount related to the amount of greenhouse gas emissions based on the input first data and the second data; A benchmark activity amount display processing step of performing processing for displaying the calculated benchmark activity amount for each item; including In the storage unit of the prediction system, a conversion coefficient for calculating the amount of greenhouse gas emissions from the benchmark activity amount is stored for each predetermined item of the benchmark activity amount; The method further includes: An emission amount calculation step of calculating, for each predetermined item of the benchmark activity amount, the amount of greenhouse gas emissions from the benchmark activity amount using the conversion coefficient data; An emission amount display processing step of performing processing for displaying the calculated amount of greenhouse gas emissions; A method including:

7. A program executed by a prediction system for predicting the amount of greenhouse gas emissions in video production, The program causes the prediction system to 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 of calculating, for each predetermined item, a benchmark activity amount defined as an activity amount related to the amount of greenhouse gas emissions based on the input first data and the second data; A benchmark activity amount display processing for performing processing for displaying the calculated benchmark activity amount for each item; and causes it to execute, In the storage unit of the prediction system, a conversion coefficient for calculating the amount of greenhouse gas emissions from the benchmark activity amount is stored for each predetermined item of the benchmark activity amount; The program further causes the prediction system to perform emission amount calculation processing for calculating the emission amount of greenhouse gases from the benchmark activity amount for each predetermined item of the benchmark activity amount using the data of the conversion coefficient, and emission amount display processing for performing processing for displaying the calculated emission amount of greenhouse gases, A program that causes the above to be executed.

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