JP2023090112A - Carbon dioxide emission calculation device and program - Google Patents

Abstract

To provide a technology for properly and simply calculating greenhouse gas emissions regarding a product produced by a business operator.SOLUTION: A carbon dioxide emission calculation device comprises: an input unit that inputs, regarding manufacturing of multiple types of products using common resources, an overall quantity of the resources used and a quantity of each type of products manufactured; a primary unit calculation unit that calculates primary units of the resources for the types so as to meet a first condition that the total quantity of resources used becomes equal to a sum of products between the primary units of the resources for the types and the quantity of products manufactured for the types and a second condition that a ratio of the primary units of the resources for the types becomes equal to a predetermined proportional division ratio; and an emission calculation unit that calculates, by multiplying the primary units of the resources for the types by a predetermined rate indicating an amount of carbon dioxide to be emitted through manufacturing and/or use of the resources, the emissions of carbon dioxide generated resulting from the resources to acquire the types of products..SELECTED DRAWING: Figure 11

Description

The present invention relates to a technique for calculating greenhouse gas emissions.

In order to reduce emissions of greenhouse gases such as carbon dioxide, it is becoming increasingly important to create mechanisms in view of emission regulations and emission allowances. For example, activities from the perspective of corporate social contribution appeals and carbon credits aimed at curbing global warming are beginning to take place.

Patent Literature 1 discloses a technique for grasping the greenhouse gas emissions associated with the production of each product.

Japanese Patent No. 5097728

However, the technique disclosed in Patent Literature 1 requires construction of a large-scale database, and a large capital investment is required for its realization. In particular, when manufacturing multiple products, it is difficult to allocate carbon dioxide emissions generated in the process of manufacturing or using resources such as raw materials, parts, and energy to each of the multiple products. .

The present invention has been completed based on the recognition of the above problems, and its main purpose is to provide a technology that can determine the amount of greenhouse gas emissions related to the products manufactured by business operators through appropriate and simple calculations. It is to be.

A carbon dioxide emission calculation device according to an aspect of the present invention includes an input unit for inputting the total quantity of resources used and the quantity of each type of product manufactured, with respect to the manufacture of a plurality of types of products using a common resource; The first condition is that the overall quantity used matches the sum of the product of the basic unit of resources for each type and the production volume of that type. A basic unit calculation unit that calculates the basic unit of resources for each type so as to satisfy the 2 conditions, and indicates the amount of carbon dioxide emitted by the production and / or use of resources in the basic unit of resources for each type. and an emissions calculation unit for calculating, by multiplying a predetermined rate, emissions of carbon dioxide caused by resources to obtain each type of product.

ADVANTAGE OF THE INVENTION According to this invention, the emission amount of the greenhouse gas regarding the product which a business manufactures can be calculated|required appropriately and simply.

FIG. 1(A) is a diagram showing the manufacturing process of product A: black coffee. FIG. 1(B) is a diagram showing the manufacturing process of product B: standard coffee. FIG. 1(C) is a diagram showing the manufacturing process of product C: milk coffee. FIG. 2A is a configuration diagram of planned consumption consumption data for product A: black coffee. FIG. 2B is a configuration diagram of planned CO2 emission data for product A: black coffee. FIG. 3A is a configuration diagram of planned consumption consumption data for product B: standard coffee. FIG. 3B is a configuration diagram of planned CO2 emission data for product B: standard coffee. FIG. 4A is a configuration diagram of planned consumption consumption data for product C: milk coffee. FIG. 4B is a configuration diagram of planned consumption consumption data for product C: milk coffee. FIG. 2 illustrates an example of multiple dedicated manufacturing lines; FIG. 4 is a diagram showing an example of one shared production line; FIG. 2 illustrates serial operation of multiple manufacturing processes; FIG. 2 illustrates parallel operation of multiple manufacturing processes; FIG. 10 is a diagram showing an example of factors of variation in usage quantity; FIG. 10 is a configuration diagram of planned usage quantity data; Product A: It is a configuration diagram of calculation data of black coffee. Product B: A configuration diagram of calculation data for standard coffee. Product C: It is a configuration diagram of calculation data of milk coffee. It is a functional block diagram of a CO2 discharge|emission calculation apparatus. 4 is a flow chart showing a main processing process; It is a flow chart which shows an input screen processing process. It is a figure which shows the example of an input screen. FIG. 4 is a configuration diagram of CO2 emission data of coffee grounds; 4 is a configuration diagram of CO2 emission rate data; FIG. It is a figure which shows the example of a proportional division ratio screen. FIG. 4 is a configuration diagram of proportional division ratio data; 4 is a flowchart showing an output screen processing process; FIG. 10 is a diagram showing an example of an output screen; Product A: It is a configuration diagram of CO2 emission data of black coffee. It is a figure which shows the example of a specific consumption screen. FIG. 10 is a diagram showing an example of a CO2 emission amount display screen; 3 is a functional block diagram of a user terminal; FIG.

[Embodiment]
An example of a beverage plant producing Product A: Black Coffee, Product B: Standard Coffee and Product C: Milk Coffee is shown. In this embodiment, carbon dioxide (hereinafter referred to as "CO2") emitted in the process of obtaining each product is calculated for each product. Not only CO2 emitted from the combustion of gas in the beverage factory process, but also CO2 emitted in the upstream production process related to resources such as raw materials, parts and energy used in the beverage factory process Included in CO2 emissions. "Resources" in this embodiment is a generic term for raw materials, parts and energy required to manufacture a product.

FIG. 1A is a diagram showing a manufacturing process 106 for product A: black coffee.
Product A: The black coffee manufacturing process 106 includes a coffee liquid extraction step 100 a , a black coffee mixing step 102 and a black coffee bottling step 104 . In the coffee liquid extraction step 100a, gas and electric power are used to extract coffee concentrate from coffee grounds and water. The black coffee mixing step 102 uses gas and electricity to mix the coffee concentrate, sugar and water to produce a black coffee liquor. The black coffee bottling process 104 uses electricity to bottle and cap the black coffee liquid to produce bottled black coffee 108 . Black coffee generally refers to coffee without milk, whether sweetened or unsweetened. In the present application, sweetened coffee will be described as an example.

FIG. 1B is a diagram illustrating the manufacturing process 116 for product B: standard coffee.
Product B: The standard coffee manufacturing process 116 includes a coffee liquor extraction step 100b, a standard coffee mixing step 112, and a standard coffee bottling step 114. The coffee liquid extraction step 100b is similar to the coffee liquid extraction step 100a. The standard coffee mixing step 112 uses gas and power to mix the coffee stock, milk, sugar and water to form a standard coffee liquor. The standard coffee bottling process 114 uses electricity to bottle and cap the black coffee liquid to produce bottled standard coffee 118 .

FIG. 1(C) is a diagram showing a manufacturing process 126 for product C: milk coffee.
Product C: The milk coffee manufacturing process 126 includes a coffee liquid extraction step 100 c , a milk coffee mixing step 122 and a milk coffee bottling step 124 . The coffee liquid extraction step 100c is similar to the coffee liquid extraction step 100a. The milk coffee bottling process 124, similar to the standard coffee mixing process 112, uses gas and power to mix the coffee concentrate, milk, sugar and water to produce a milk coffee liquor. However, the mixing ratio is different from standard coffee. The milk coffee bottling process 124 uses electricity to bottle and cap the black coffee liquid to produce bottled milk coffee 128 .

FIG. 2A is a configuration diagram of planned consumption consumption data for product A: black coffee.
The basic unit indicates the expected or actual quantity of raw materials, parts, energy (fuel, electric power), etc. required to produce one product or a prescribed quantity of products. The planned basic unit indicates the basic unit scheduled at the planning stage. Raw materials, parts and energy are examples of categories of resources used to manufacture products. The planned basic unit data indicates the planned consumption of raw materials, parts, and energy resources. For example, when making one product A, it is planned to use 12 g of coffee powder, 10 g of sugar, and 0.2 L of water as raw materials. As parts, we plan to use one bottle and one cap. In addition, we plan to use 0.1 kWh of electric power and 6 L of gas as energy. Milk is not used in product A, but for comparison with other products, the expected basic unit of milk is indicated as 0 g.

FIG. 2B is a configuration diagram of planned CO2 emission data for product A: black coffee.
For each resource, the planned basic unit is multiplied by the CO2 emission rate for that resource to obtain the CO2 emissions based on the planned basic unit (hereinafter referred to as "planned CO2 emissions"). The CO2 emission rate indicates the amount of CO2 emission per unit amount of resource (eg, g (gram), L (liter), number and kWh, etc.) (see Figure 19). A CO2 emission rate may be empirically determined as the weight of CO2 produced when a unit amount of a resource is produced and when a unit amount is used.

For example, if the planned basic unit of coffee grounds "12g" is multiplied by the CO2 emission rate of coffee grounds "Rc", the planned CO2 emissions generated to obtain the planned amount of coffee grounds used for one product A is: It is calculated as “12×Rc[g]”. If 3 g of CO2 is emitted to obtain 1 g of ground coffee, the CO2 emission rate "Rc" is 3 [g/g]. This means that 12×3 [g] of CO2 will be discharged from one product A if it is carried out as planned. Since no milk is used, the projected CO2 emissions for milk is 0 g. "Rm" in the figure indicates the CO2 emission rate of milk. "Rs" indicates the CO2 emission rate of sugar. "Rw" indicates the CO2 emission rate of water. "Rb" indicates the CO2 emission rate of the bottle. "Rp" indicates the CO2 emission rate of the cap. "Re" indicates the CO2 emission rate of electricity. "Rg" indicates the CO2 emission rate of the gas. The CO2 emission rate of gas takes into account the amount of CO2 emitted during the gas production process and the amount of CO2 generated by combustion of gas in the beverage factory. Thus, the CO2 emission rate of a resource is the amount of carbon dioxide emitted by the production and/or use of the resource as a value per unit amount of the resource (e.g., g (grams), L (liters), number and kWh, etc.). Indicates the amount of carbon. Then, by totaling the planned CO2 emissions for each resource, the planned CO2 emissions corresponding to one product A can be obtained.

FIG. 3A is a configuration diagram of planned consumption consumption data for product B: standard coffee.
Product B: Standard coffee differs from black coffee in that it also uses milk as an ingredient. The planned unit consumption of ground coffee, sugar, water, electricity and gas is different from that of product A: black coffee. The planned unit consumption of bottles and caps is the same as for product A: black coffee. Product B: standard coffee has a smaller amount of raw coffee liquid to be mixed than product A: black coffee.

FIG. 3B is a configuration diagram of planned CO2 emission data for product B: standard coffee.
The method of obtaining the planned CO2 emission amount is the same as in the case of product A: black coffee.

FIG. 4A is a configuration diagram of planned consumption consumption data for product C: milk coffee.
Product C: Milk coffee also uses milk as an ingredient. The planned unit consumption of ground coffee, sugar, water, electricity and gas is different for product A: black coffee and product B: standard coffee. In addition, the planned unit consumption of milk is higher than that of product B: standard coffee. The planned unit consumption of bottles and caps is the same as for product A: black coffee and product B: standard coffee. Product C: With milk coffee, the amount of undiluted coffee solution to be mixed is even smaller, so the planned basic unit of coffee grounds is smaller than that of product B.

FIG. 4B is a configuration diagram of planned CO2 emission amount data for product C: milk coffee.
The method of obtaining the planned CO2 emission amount is the same as in the case of product A: black coffee and product B: standard coffee.

Generally, a method of calculating CO2 emissions based on the planned basic unit as described above is considered. However, the planned basic unit is an estimated value and may differ from the actual amount used. In other words, resources are not necessarily consumed according to the planned basic unit. For electricity and gas, in particular, it is difficult to accurately predict the unit consumption, and it may not match the actual amount used.

Therefore, this embodiment proposes a method of calculating the CO2 emissions based on the actual usage quantity of resources. For this purpose, we will obtain a basic unit (hereinafter referred to as “actual basic unit”) that is in line with the actual situation. For example, in the case of a beverage factory that manufactures the three products mentioned above, if it is possible to obtain the quantity of resources used in each of the manufacturing processes for each of the three products, divide the quantity used by the quantity produced. The actual basic unit can be obtained by In the following, the quantity of resources used will be referred to as the “quantity used,” the quantity of products manufactured will be referred to as the “manufactured quantity,” and the quantity of CO2 emitted (e.g., weight and volume) will be referred to as the “CO2 emission "Quantity". Further, the scheduled basic unit is the quantity planned to be used per product before manufacturing, and the actual basic unit is the quantity actually used per product in manufacturing. Planned basic unit and actual basic unit both mean the quantity of resources per product, and both are basic units.

FIG. 5 is a diagram illustrating an example of multiple dedicated manufacturing lines.
Ideally, a product A production line dedicated to the production process 106 of product A: black coffee, a production line of product B dedicated to the production process 116 of standard coffee, and a product C: production process 126 of milk coffee. A dedicated production line for the product C is provided separately.

The production line for product A includes a coffee brewer 700a dedicated to the coffee brewing process 100a, a liquid blender 702a dedicated to the black coffee blending process 102, and a bottling machine 704a dedicated to the black coffee bottling process 104. Power meter 710a measures the amount of power used by coffee brewer 700a, liquid blender 702a and bottling machine 704a. Gas meter 712a also measures the amount of gas used in coffee liquor extractor 700a and liquid blender 702a.

Then, by dividing the measured amount of power by the number of bottled black coffee 108 produced, the actual basic unit of power for product A: black coffee is obtained. Further, by dividing the measured amount of gas by the number of bottled black coffees 108 produced, the actual unit consumption of gas in product A: black coffee can be obtained.

Similarly, the production line for product B includes a coffee liquid extraction machine 700b dedicated to the coffee liquid extraction process 100b, a liquid mixer 702b dedicated to the standard coffee mixing process 112, and a bottling machine 704a dedicated to the standard coffee bottling process 114. . The power meter 710b measures the amount of power used for the coffee liquid extractor 700b, the liquid mixer 702b, and the bottling machine 704b, and the gas meter 712b measures the amount of gas used for the liquid coffee extractor 700b and the liquid mixer 702b. measure.

Then, by dividing the measured amount of power consumption by the number of bottled standard coffees 118 produced, the actual basic unit of power for product B: standard coffee can be obtained. Further, by dividing the measured amount of gas used by the number of bottled standard coffees 118 produced, the actual gas consumption rate for product B: standard coffee can be obtained.

Similarly, the production line for product C includes a coffee liquid extraction machine 700c dedicated to the coffee liquid extraction process 100c, a liquid mixer 702c dedicated to the milk coffee mixing process 122, and a bottling machine 704c dedicated to the milk coffee bottling process 124. . The power meter 710c measures the amount of power used for the coffee liquid extractor 700c, the liquid mixer 702c, and the bottling machine 704c, and the gas meter 712c measures the amount of gas used for the liquid coffee extractor 700c and the liquid mixer 702c. measure.

Then, by dividing the measured amount of power consumption by the number of bottled milk coffee 128 produced, the actual power unit consumption for product C: milk coffee is obtained. Further, by dividing the measured amount of gas used by the number of bottled milk coffees 128 produced, the actual gas consumption in product C: milk coffee can be obtained.

In this way, if a meter is provided for each product line, it is possible to measure the amount of gas used and the amount of electricity used for each product. The gas meter 712d measures the total amount of gas supplied to the beverage factory from the city gas pipe. Power meter 710d measures the total usage of power supplied to the beverage plant from the power company transmission lines.

FIG. 6 is a diagram showing an example of one shared manufacturing line.
In factories that manufacture multiple types of products, the manufacturing line is often shared for each product. In this example, product A, product B and product C are manufactured on one shared manufacturing line. The shared production line includes a coffee liquor extractor 700d, a liquor blender 702d and a bottling machine 704d. The coffee liquid extractor 700d is used in the coffee liquid extraction processes 100a-100c. Liquid blender 702 d is used in black coffee blending process 102 , standard coffee blending process 112 and milk coffee blending process 122 . Liquid mixer 702d is used in black coffee bottling process 104, standard coffee bottling process 114 and milk coffee bottling process 124.

In this example, no gas meter is provided for the production line. Only a gas meter 712d is installed to collectively measure the amount of gas used in the beverage factory. As for power, similarly, no power meter is provided for the production line. Only a power meter 710d is installed to collectively measure the amount of power used in the beverage factory.

Beverage plants also operate equipment that is not included in the production line. Water heater 724 uses gas to heat water used when cleaning equipment and instruments. A lighting device 714 that illuminates the interior of the factory and an air conditioner 716 that air-conditions the interior of the factory use electric power. Since these facilities are also part of the environment necessary for the production of products, the CO2 emissions required for their energy are also included. However, it is not easy to decide how to distribute to the three products.

In this example, photovoltaic power generation by the photovoltaic panel 718 is performed as in-house power generation. The power that enters the distribution board 722 from the power controller 720 is preferentially used. Since power generated by photovoltaic power generation does not generate CO2 during power generation, CO2 emissions need only be considered for power supplied from power companies. Therefore, less power is supplied by the power company on sunny days, resulting in less CO2 emissions associated with power generation. Conversely, on cloudy or rainy days, more power is supplied by the power company, resulting in higher CO2 emissions associated with power generation. The use of photovoltaic power generation reduces CO2 emissions overall, but the extent to which photovoltaic power generation contributes to the reduction of CO2 emissions varies depending on the weather.

In this way, the CO2 emissions based on the gas consumption of the entire factory measured by the gas meter 712d and the power consumption of the entire factory measured by the power meter 710d are calculated for the manufacturing processes of the three types of products. It is a difficult problem to decide how to allocate

FIG. 7 is a diagram illustrating serial operation of multiple manufacturing processes.
In the example of FIG. 7, executing a plurality of manufacturing processes in a certain time period in parallel without executing them in another time period is called "serial operation". Specifically, coffee liquid extraction of the manufacturing process 106 of product A: black coffee is started at 9:00, and bottling of product A is finished by 11:00. 12:00 Product B: The coffee liquid extraction of the standard coffee manufacturing process 116 is started, and the bottling of Product B is finished by 14:00. At 15:00, coffee liquid extraction of the production process 126 of product C: milk coffee is started, and bottling of product C is finished by 17:00. Thus, the operating hours of the manufacturing process 106 for product A, the operating hours of the manufacturing process 116 of product B, and the operating hours of the manufacturing process 126 of product C are separated and do not overlap.

In this case, the CO2 emissions due to the amount of gas and electricity used during the operating hours (9:00 to 11:00) of the manufacturing process 106 for product A can be allocated to the manufacturing process 106 for product A. Similarly, the CO2 emissions due to the amount of gas and electricity used during the operating time (12:00 to 14:00) of the manufacturing process 116 of product B are allocated to the manufacturing process 116 of product B, The CO2 emissions due to the amount of electricity and gas used during the operating hours (15:00 to 17:00) can be allocated to the manufacturing process 126 of product C. Therefore, in the case of serial operation, it is easy to grasp the amount of electricity and gas used for each manufacturing process and reflect it in the amount of CO2 emissions for each product.

In addition, since the timing of using raw materials and parts is also separated in terms of time, it is easy to measure the quantity used for each manufacturing process. The measurement here includes the act of visually counting the number of parts, the act of measuring the volume of liquid and powder with a weighing scale, and the act of measuring the weight of the raw material itself excluding the container with a weighing scale. In other words, the measurement may be performed manually, or may be performed automatically by a sensor or the like attached to the device.

FIG. 8 is a diagram illustrating parallel operation of multiple manufacturing processes.
In the example of FIG. 8, executing multiple manufacturing processes at the same time during a certain period of time is called "parallel operation". Specifically, in the coffee liquid extraction process 100d from 9:00 to 10:00, the undiluted coffee liquids for the products A, B, and C are extracted together. That is, the coffee liquid extraction process 100d substantially corresponds to the coffee liquid extraction process 100a, the coffee liquid extraction process 100b, and the coffee liquid extraction process 100c. The amount of ground coffee used in the coffee liquid extraction step 100d is the sum of the amounts used for product A, product B and product C.

After that, between 10:00 and 12:00, the black coffee mixing step 102 is performed alone. Between 12:00 and 14:00, the black coffee bottling step 104 and the standard coffee mixing step 112 are performed simultaneously. Between 14:00 and 16:00, the standard coffee bottling process 114 and the milk coffee mixing process 122 are performed simultaneously. Between 16:00 and 18:00, the milk coffee bottling step 124 is performed alone.

In this way, depending on the time period, a single manufacturing process may be performed, or a plurality of manufacturing processes may be performed simultaneously. In practice, it may be more complicated than the example shown. Therefore, it is difficult to measure the consumption of electric power, gas, etc. according to the implementation status of manufacturing processes that are intricately combined. This embodiment proposes a method for simply estimating the actual unit consumption, assuming that the balance between products is correctly estimated regarding the unit consumption of resources such as electricity and gas. Details of the estimation method will be described later.

For example, when 10 pieces of each of three types of products are manufactured, it is assumed that the total amount of gas used is 240 liters, whereas the actual amount of gas used is 480 liters, which is double that amount. Assuming that the planned ratio of the gas consumption unit for the three types of products (example of the predetermined ratio) is 6:8:10, the ratio of the actual consumption unit is also estimated to be 6:8:10. As shown in FIGS. 2 to 4, the scheduled gas unit consumption for product A is 6 L, the scheduled gas unit consumption for product B is 8 L, and the scheduled gas unit consumption for product C is 10 L. This is the basis for the total planned usage of 240L of gas mentioned above. As mentioned above, if the actual amount used is doubled to 480 liters, the actual gas consumption of product A will be doubled to 12 liters, and the actual gas consumption of product B will also be doubled to 16 liters. As a result, it is estimated that the actual unit consumption of gas for product C has doubled to 20L. A detailed estimation method will be described later.

Note that in cases where it is difficult to obtain the planned specific consumption of gas with high accuracy, another index that is estimated to have a correlation with the specific consumption of gas may be used instead. For example, if a pizzeria manufactures pizzas of different sizes, the exact gas intensity for each pizza used in the ovens for baking the large and small pizzas is not known. However, considering that large pizzas occupy a large area in the oven, while small pizzas fit in a small area and are baked in large quantities at one time, the gas usage per pizza is estimated by the weight and area of the pizza. is estimated to have a correlation with Therefore, if the gas unit consumption of the large and small pizzas is calculated so that the weight ratio or area ratio of the large pizza and the small pizza is constant, the actual unit consumption is estimated to some extent correct. Although gas is exemplified here, other resources such as electric power and coffee grounds (any resource classified into raw materials, parts, energy, etc.) are the same. In addition to weight and area, other indicators such as product volume or selling price may be substituted. It is quite possible that the volume or selling price will have a correlation with the basic unit resources related to CO2 emissions depending on the circumstances of each individual product.

FIG. 9 is a diagram showing an example of factors of variation in usage quantity.
As described above, the actual specific consumption is not necessarily the same as the planned specific consumption. One of the reasons for this is that it is difficult to accurately measure the quantity used, which is the basis of the basic unit, but another reason is that the quantity used varies due to various factors each time a product is manufactured. FIG. 9 shows an example of an event that happened at a beverage factory one day (February 10th) that resulted in different usage quantities for some resources than planned.

In the coffee liquid extraction step 100d, the amount of coffee components coming out of the coffee grounds was less than usual, and the undiluted coffee solution seemed to be thin, so the amount of coffee grounds was increased by 10%. Therefore, the actual amount of ground coffee used is 10% more than planned. In the black coffee bottling step 104, one cap was broken, so one cap was replenished. Therefore, the number of caps actually used is one more than planned. In the milk coffee mixing step 122, 1000 g of milk of questionable quality was discarded and 1000 g of milk was added. Therefore, the actual amount of milk used is 1000g more than planned. In addition, since the weather was fine that day (February 10), the amount of solar power generated was large, and the amount of power received from the electric power company was less than usual. Therefore, the actual amount of electricity used will be less than planned due to the amount of electricity obtained from solar power generation.

FIG. 10 is a configuration diagram of the planned usage quantity data.
Planned usage data can be generated prior to production implementation. The planned usage quantity data is generated based on the planned production quantity of each product and the planned basic unit data of each product. The term "planned production quantity" as used herein means the planned production quantity of a certain product per day.

As for the production schedule for that day (February 10th), 100 pieces of product A, 150 pieces of product B, and 50 pieces of product C are to be produced. Therefore, the planned total production quantity (hereinafter referred to as “total planned quantity”) is 300 (=100+150+50). As shown in the figure, the planned production quantity of product A is "100", the planned production quantity of product B is "150", the planned production quantity of product C is "50", and the planned total quantity is "300". include.

For each resource of the 3 products, by multiplying the planned basic unit of the resource for that product (Figures 2(A), 3(A), and 4(A)) by the planned production quantity of that product, A planned usage quantity for that resource is determined. For example, for coffee grounds of product A, by multiplying the scheduled unit consumption of product A's coffee grounds "12 g" by the scheduled production quantity of product A "100", the planned usage quantity of coffee grounds in the manufacturing process 106 of product A is "1200g" is required.

Also, by summing up the planned usage quantity of each product for each resource, the overall planned usage quantity can be obtained. For example, for coffee grounds, the total planned quantity to be used is ``3100'' by adding the planned quantity to be used for product A, ``1200g'', the planned quantity to be used for product B, ``1500g'', and the planned quantity to be used for product C, ``400g''. be done. Therefore, 3100 g of coffee grounds are required to manufacture products A, B, and C on February 10th. At this point, the planning stage ends.

Moving on to the manufacturing stage, the actual usage quantity (hereinafter referred to as “actual usage quantity”) is measured. For coffee grounds, water, electricity and gas, we measure the total amount of actual usage for all products. That is, the measurement range is the "whole" including the manufacturing process 106 of product A, the manufacturing process 116 of product B, and the manufacturing process 126 of product C. On the other hand, for milk, sugar, bottles and caps, we will measure the actual quantity used for each product process. That is, the measurement range is the manufacturing process 106 of product A, the manufacturing process 116 of product B, or the manufacturing process 126 of product C. FIG. In this figure, the planned usage quantity corresponding to the actual usage quantity measured at the manufacturing stage is surrounded by a thick line frame. For example, as for coffee grounds, "3100 g" is planned to be used in "total", but how much coffee grounds are actually used is measured. As for sugar, how much is actually used in the manufacturing process 106 of product A, and how much is actually used in the manufacturing process 106 of product A? In addition, how much "2000 g" is actually used in the manufacturing process 126 of the product C is planned to be used.

FIG. 11 is a configuration diagram of calculation data for product A: black coffee.
The calculated data is the actual basic unit and actual CO2 emissions (hereinafter referred to as " This is data showing the process of calculating the actual CO2 emissions. In this figure, the measured amount of usage is enclosed in a thick line frame. For reference, planned values are shown in parentheses. The calculated data includes the actual production quantity. In this example, 100 bottled black coffee 108 were produced, all of which passed the final inspection to be shippable conforming. Non-conforming products in the final inspection are not included in the actual production quantity.

For example, with respect to coffee grounds, while ``3100 g'' was planned to be used for ``whole'', ``3410 g'', which is 10% more, is actually used. As for the caps, although "100" were planned to be used in the manufacturing process 106 of the product A, "101", which is one more, is actually used. Also, with respect to the electric power, "35 kWh" was planned to be used "total", but in reality, "17.5 kWh", which is half, is used.

Regarding the coffee grounds, water, electricity and gas for which the "total" actual usage quantity was measured, the usage quantity equivalent to the actual usage quantity of the manufacturing process 106 of product A from the actual usage quantity (hereinafter referred to as "estimated usage quantity") is estimated. The estimation method will be described later. The estimated quantity used is the quantity consumed in the manufacturing process 106 of the product A (hereinafter referred to as "consumed quantity"). For example, with respect to coffee grounds, the estimated amount of use "1320 g" of the manufacturing process 106 of the product A estimated from the actual amount of use "3410 g" of "whole" is copied as it is, and the consumption amount of the manufacturing process 106 of the product A "1320 g" is copied as it is. becomes. Consumption quantity refers to the quantity that forms the basis for calculating the actual basic unit. How to determine the estimated usage quantity of “1320 g” for the manufacturing process 106 of product A will be described later in relation to Equation 7.

On the other hand, for milk, sugar, bottles, and caps for which the actual usage quantities are measured for each manufacturing process, the actual usage quantities become the consumption quantities in the manufacturing process as they are. For example, with regard to sugar, the actual usage quantity of "1000 g" in the manufacturing process 106 of product A is copied as it is and becomes the consumption quantity of "1000 g" in the manufacturing process 106 of product A.

For each resource, the actual basic unit is obtained by dividing the consumption quantity by the actual production quantity. For example, with respect to coffee grounds, by dividing the consumption amount of product A in the manufacturing process 106 of 1320 g by the actual production amount of product A of 100 pieces, the actual basic unit of product A is 13.2 g. As for sugar, by dividing the consumption amount of product A in the manufacturing process 106 of 1000 g by the actual production amount of product A of 100 units, the actual basic unit of product A of 10 g is obtained.

Then, for each resource, by multiplying the actual basic unit by the CO2 emission rate for that resource, the amount of CO2 actually emitted to obtain one piece of product A (hereinafter referred to as "actual CO2 emission amount") is calculated. be done. For example, with regard to coffee grounds, by multiplying the actual basic unit of product A "13.2 g" by the CO2 emissions of coffee grounds "Rc", the actual CO2 emissions of product A "13.2 x Rc" can be obtained. As for sugar, by multiplying the actual unit consumption of product A “10 g” by the CO2 emission amount “Rs” of sugar, the actual CO2 emission amount “10×Rs” of product A is obtained. Finally, for product A, the actual CO2 emissions of each resource are summed up to obtain the actual CO2 emissions per product A.

FIG. 12 is a configuration diagram of calculation data for product B: standard coffee.
As for ground coffee, both the amount of actual use and the amount of actual CO2 emissions have increased from the planned values. As for electric power, both the actual quantity used and the actual CO2 emissions are lower than planned values.

FIG. 13 is a configuration diagram of calculation data for product C: milk coffee.
In the case of product C: milk coffee, both the actual amount of coffee powder and milk used and the actual amount of CO2 emissions are higher than the planned values. As for electric power, both the actual quantity used and the actual CO2 emissions are lower than planned values.

The actual basic unit of each product is associated with the manufacturing date and stored as actual basic unit data in the actual basic unit data storage unit 262, which will be described later with reference to FIG. The actual CO2 emissions per product is associated with the date of manufacture and stored as actual CO2 emissions data in the actual CO2 emissions data storage unit 264, which will be described later with reference to FIG.

Here, a method for estimating the actual usage quantity of the manufacturing process 106 of the product A from the "whole" actual usage quantity will be described. In this method, estimation calculation is performed so as to satisfy the following two conditions.

The first condition is that the actual usage quantity of a resource (for example, coffee grounds) measured “overall” is converted into the actual unit consumption of that resource for each type of product (for example, product A, product B, and product C). It means that it matches the sum of the values (products) multiplied by the actual production quantity of the type of product. The actual usage quantity “3410 g” measured “total” for the exemplified coffee grounds is the actual basic unit of product A “13.2 g” × the actual production quantity of product A “100”, and the actual basic unit of product B It matches the sum of "11g" x "150 pcs" of actual production quantity of product B and "8.8g" of actual basic unit of product C x "50 pcs" of actual production quantity of product B (1320g + 1650g + 440g).

The second condition is that the ratio of the actual unit consumption of the resource (eg, coffee grounds) measured “total” in each type of product (eg, product A, product B, and product C) matches a predetermined proportional division ratio. . The predetermined proportional division ratio indicates the ratio of consumption per piece of each type of product with respect to the "total" measured resource. The predetermined proportional division ratio is composed of terms for each type of product as shown in Equation (1).

Predetermined proportional division ratio = Product A term: Product B term: Product C term (Formula 1)

For example, assume that the product A term is 12, the product B term is 10, and the product C term is 8 (see FIG. 21). In this example, the value of each product item is matched with the planned basic unit of coffee grounds (“12 g”, “10 g” and “8 g”) for each product (Fig. 2 (A), Fig. 3 (A) , FIG. 4(A)). In other words, the ratio reference in this case is the scheduled basic unit of coffee grounds. A ratio basis refers to the type of information used as a predetermined proportional division ratio. An example of this predetermined apportionment ratio is that one of product A: black coffee consumes 20% more ground coffee than one of product B: standard coffee, and one of product C: milk coffee consumes product B. : Means consuming 20% less ground coffee than one cup of standard coffee.

Expression 2 holds when the estimated quantity used in the manufacturing process of each product is expressed in the form of a ratio. For those readers who need help understanding Equation 2, a supplementary explanation is provided. For example, we focus on the fact that the weight of the resource used is proportional to the amount of the extracted component. It is easy to understand if you imagine that the ratio of the weight of the resources and the ratio of the amount of the extracted components are the same for the three types of products. In other words, in this image, the left side of Equation 2 corresponds to the weight ratio of the resource, and the right side of Equation 2 corresponds to the ratio of the amount of ingredients (=the product of the amount of ingredients per product and the number of products). In this case, each product term is taken to be the amount of ingredients per product. However, the image described here is for helping understanding of Formula 2, and is not intended to limit the meaning of Formula 2. It is a convenient example, and the amount of ingredients should not necessarily be imagined, and it may be understood by imagining other concepts such as heat quantity, time, or commercial value.

Estimated quantity used in the manufacturing process 106 of product A: Estimated quantity used in the manufacturing process 116 of product B: Estimated quantity used in the manufacturing process 16 of product C = Product A term x Actual manufactured quantity of product A: Product B term x Actual production quantity of product B: Item of product C × Actual production quantity of product C (Formula 2)

Applying the numerical values exemplified for the coffee powder to Equation 2 yields Equation 3.

1320 g: 1650 g: 440 g = 12 x 100 pieces: 10 x 150 pieces: 8 x 50 pieces = 1200: 1500: 400 (Formula 3)

Therefore, the estimated usage quantity of each product in the manufacturing process can be obtained by proportionally dividing the "total" actual usage quantity according to the ratio of the estimated usage quantity in the manufacturing process of each product shown in Equation 2. The estimated usage quantity for the manufacturing process 106 of Product A is determined by Equations 4 and 5.

Estimated quantity used in the manufacturing process 106 of product A = actual quantity used of “total” × (term of product A × actual quantity manufactured of product A / denominator) (Formula 4)

Denominator = Product A term x Product A actual manufacturing quantity + Product B term x Product B actual manufacturing quantity + Product C term x Product C actual manufacturing quantity (Formula 5)

Applying the numerical values exemplified for coffee powder to Equations 5 and 4 yields Equations 6 and 7.

Denominator = 12 x 100 + 10 x 150 + 8 x 50 = 1200 + 1500 + 400 = 3100 (Formula 6)

Estimated quantity used in manufacturing process 106 of product A = 3410 g x (12 x 100/3100)
= 1320 g (equation 7)

The estimated usage quantity of the manufacturing process 116 for the product B is obtained by Equation 8, and the estimated usage quantity of the manufacturing process 126 for the product C is obtained by Equation 9.

Estimated usage quantity of manufacturing process 116 of product B = actual usage quantity of “total” × (term of product B x actual production quantity of product B / denominator) (Formula 8)

Estimated quantity used in the manufacturing process 126 of product C = actual quantity used of “total” × (term of product C × actual quantity manufactured of product C/denominator) (Formula 9)

Thus, based on the "total" actual usage of ground coffee and the predetermined proportion of ground coffee, the estimated usage of process 106 for product A, process 116 for product B, and process 126 for product C is calculated. can be asked for. Also, although coffee powder is used as an example here, water, electric power and gas are the same. In other words, based on the "total" actual amount of water used and a predetermined proportionate ratio of water, the estimated amount of water used in the manufacturing process 106 for product A, the manufacturing process 116 for product B, and the manufacturing process 126 for product C is obtained. be able to. Based on the "total" actual amount of power usage and a predetermined proportional division ratio of power, it is possible to determine the estimated amount of power usage in the manufacturing process 106 for product A, the manufacturing process 116 for product B, and the manufacturing process 126 for product C. can. Based on the "total" actual usage of gas and a predetermined proportional ratio of gas, the estimated usage of gas in the product A manufacturing process 106, the product B manufacturing process 116, and the product C manufacturing process 126 can be determined. can.

If a non-conforming product is found in the final inspection, the actual production quantity will be less than the planned production quantity. For example, in the manufacturing process 106 of product A, production is started with the planned production quantity of "100", and if one nonconforming product is found in the final inspection, the actual production quantity becomes "99". Therefore, compared to the case where the actual manufacturing quantity is "100", the actual basic unit for each resource is 100/99 times, which is slightly larger. In other words, when the yield is poor, the actual basic unit increases.

FIG. 14 is a functional block diagram of the CO2 emission calculation device 200. As shown in FIG.
Each component of the CO2 emission calculation device 200 includes computing units such as a CPU (Central Processing Unit) and various coprocessors, storage devices such as memory and storage, and hardware including a wired or wireless communication line connecting them. It is implemented by hardware and software stored in a storage device and supplying processing instructions to the computing unit. A computer program may consist of a device driver, an operating system, various application programs located in their higher layers, and a library that provides common functions to these programs. Each illustrated block mainly indicates a functional unit block. Each block may be implemented by causing a computer to execute a program stored in a storage device. The same applies to the user terminal 500, which will be described later.

The CO2 emission calculation device 200 includes a user interface processing unit 210 , a data processing unit 280 , a network communication unit 240 , a short-range wireless communication unit 242 , a wired communication unit 244 and a data storage unit 250 . The user interface processing unit 210 receives operations from an operator via a mouse or a touch panel, and is in charge of user interface processing such as image display and audio output. The network communication unit 240 is in charge of communication processing via the network. The short-range wireless communication unit 242 takes charge of communication processing by short-range wireless. The wired communication unit 244 is in charge of wired communication processing. The data storage unit 250 stores various data. The data processing unit 280 executes various processes based on the data acquired by the network communication unit 240 , the short-range wireless communication unit 242 and the wired communication unit 244 and the data stored in the data storage unit 250 . Data processing unit 280 also functions as an interface for user interface processing unit 210 , network communication unit 240 , short-range wireless communication unit 242 , wired communication unit 244 and data storage unit 250 . The CO2 emission calculation device 200 can communicate with a graphic code reader 300, an RFID (Radio Frequency Identification) reader 302, a graphic code printer 306, and an RFID writer 308 by short-range wireless or wired communication. In addition, the CO2 emission calculation device 200 can communicate with devices such as smartphones and tablet terminals by short-range wireless or wired communication. Thus, the CO2 emission calculation system can include CO2 emission calculation device 200, graphic code reader 300, RFID reader 302, information input terminal 304, graphic code printer 306 and RFID writer 308. FIG.

The user interface processing unit 210 has an input unit 220 for inputting data by an operator's operation and an output unit 230 for outputting data to be provided to the operator. As an output method, an example of displaying on a display is shown, but printing or transmission to an information processing terminal (for example, administrator terminal) may be used.

The data processing unit 280 has an acquisition unit 282 , a calculation unit 284 , an upload unit 286 , a URL (Uniform Resource Locator) recording unit 288 and an encryption/decryption unit 290 . The acquisition unit 282 accesses the URL of the WEB server and acquires CO2 emission data such as raw materials and parts. The calculation unit 284 calculates the basic unit and the amount of CO2 emissions, and includes a basic unit calculation unit 292 and an emission amount calculation unit 294 . The specific consumption calculating unit 292 calculates the actual specific consumption. The emissions calculation unit 294 calculates the actual CO2 emissions. The upload unit 286 uploads the CO2 emission data to the WEB server. The URL recording unit 288 records the CO2 emission data URL on a recording medium. The encryption/decryption unit 290 encrypts various data and decrypts various encrypted data.

The data storage unit 250 includes a planned specific consumption data storage unit 252, a CO2 emission rate data storage unit 254, a planned CO2 emission amount data storage unit 256, a planned usage amount data storage unit 258, a calculated data storage unit 260, and an actual specific consumption data storage unit. 262 , an actual CO2 emissions data storage unit 264 and a proportional division ratio data storage unit 266 .
The planned specific consumption data storage unit 252 stores planned specific consumption data (FIGS. 2(A), 3(A), and 4(A)). It is assumed that the initial planned basic unit has been received by the input unit 220 in the preparatory stage before starting operation. The CO2 emission rate data storage unit 254 stores CO2 emission rate data (FIG. 19). The planned CO2 emission amount data storage unit 256 stores planned CO2 emission amount data (FIGS. 1(B), 2(B), and 3(B)). The planned usage quantity data storage unit 258 stores planned usage quantity data (FIG. 10). The calculated data storage unit 260 stores calculated data (FIGS. 11, 12, and 13). The actual basic unit data storage unit 262 stores actual basic unit data including past data and storing the actual basic unit of each resource for each product. The actual CO2 emission amount data storage unit 264 stores actual CO2 emission amount data including the past data, in which the actual CO2 emission amount of each product and the actual CO2 emission amount of each resource of the product are stored. The proportional division ratio data storage unit 266 stores proportional division ratio data (FIG. 21).

The graphic code reader 300 reads various information (eg, URL) from a graphic code (eg, bar code or QR code (registered trademark)). The RFID reader 302 reads various information (eg, URL) from RFID tags. A graphic code printer 306 prints a graphic code (for example, a bar code or a QR code) on a seal label or the like. The RFID writer 308 writes various information (eg, URL) to the RFID tag.

FIG. 15 is a flow chart showing the main processing steps.
The input unit 220 inputs the planned production quantity of each product (S10). The calculation unit 284 calculates the planned usage quantity as described with reference to FIG. 10 (S12). Planned usage quantities are calculated for reference purposes only. Since the actual basic unit and the actual CO2 emission amount can be obtained without using the planned quantity of use, the calculation of the planned quantity of use may be omitted. The output unit 230 displays the planned usage quantity of each product and the planned usage quantity of "whole" shown in FIG. 10 (S14). The data processing unit 280 executes input screen processing (S16). Input screen processing will be described later with reference to FIG. The data processing unit 280 executes output screen processing (S18). Output screen processing will be described later with reference to FIG.

FIG. 16 is a flow chart showing the input screen processing process. The flowchart shown in FIG. 16 shows detailed processing in the input screen processing (S16) shown in FIG.
The output unit 230 displays an input screen (S30). The input screen will be described later with reference to FIG. When the input unit 220 receives a touch on the read button 802 (FIG. 17) (Y of S32), the acquisition unit 282 executes acquisition processing for acquiring the CO2 emission rate (S34). The acquisition process will be described later with reference to FIG.

When the input unit 220 receives a touch on the ratio button 806 (FIG. 17) (Y of S36), the output unit 230 displays the proportional division ratio screen (S38). The proportional division ratio screen will be described later with reference to FIG. When input unit 220 receives a touch on calculation button 809 (FIG. 17) (S40), specific consumption calculation unit 292 executes actual consumption consumption calculation processing (S42). In the actual specific consumption calculation process, the specific consumption calculation unit 292 calculates the actual specific consumption as described with reference to FIGS. 10 to 12 . The emission calculation unit 294 executes CO2 emission calculation processing (S44). In the CO2 emission calculation process, the emission calculation unit 294 calculates the actual CO2 emission as described with reference to FIGS. 10 to 12. FIG. Then, the process returns to the output screen process (S18) shown in FIG.

FIG. 17 is a diagram showing an example of an input screen.
The output unit 230 displays the CO2 emission rate of each resource included in the CO2 emission rate data (FIG. 19). If the CO2 emission rate has not yet been set for the first time, the CO2 emission rate will not be displayed.

A recording medium (e.g., barcode, QR code, RFID tag, etc.) is affixed to the main body, container, or package of raw materials and parts, and the storage location of CO2 emission data on the network is indicated on the recording medium. A URL (hereinafter referred to as "CO2 emission data URL") is recorded. When the input unit 220 receives a touch on the read button 802 of any resource, the graphic code reader 300 and the RFID reader 302 are ready for reading. The graphic code reader 300 or RFID reader 302 reads the CO2 emissions data URL from recording media such as raw materials and parts. The read CO2 emission data URL is input to the CO2 emission calculation device 200 . The obtaining unit 282 accesses the CO2 emission data URL and obtains the CO2 emission data of raw materials, parts, and the like. At this time, the network communication unit 240 accesses the CO2 emission data URL and downloads the CO2 emission data.

FIG. 18 is a configuration diagram of CO2 emission data of coffee grounds.
As shown in the figure, in the case of coffee grounds, for example, the acquisition unit 282 obtains the coffee grounds CO2 emission data URL "https://bbb.css" by reading the figure code 800a attached to the container of the coffee grounds with the figure code reader 300. xxx/trace/0122". Alternatively, the obtaining unit 282 obtains the coffee powder CO2 emission data URL from the RFID tag attached to the coffee powder container in the RFID reader 302 . Then, the obtaining unit 282 accesses the coffee powder CO2 emission data URL of the WEB server 400b of the business operator “bbb” that provides the coffee powder, and obtains the coffee powder CO2 emission data based on the response from the WEB server 400b. . The coffee powder as a product contains 100 g, and the total CO2 emission amount is shown as the CO2 emission amount (total). Also, the CO2 emission amount per 1 g is shown as the CO2 emission rate.

The acquiring unit 282 associates the CO2 emission rate included in the CO2 emission data and the accessed CO2 emission data URL with the resource and writes them into the CO2 emission rate data.

FIG. 19 is a configuration diagram of CO2 emission rate data.
The CO2 emission rate data stores the CO2 emission rate and the CO2 emission amount data URL for each resource.

As for electric power, it is conceivable to obtain the CO2 emission data URL by reading the graphic code displayed on the WEB site of the electric power company. Similarly, for gas, the CO2 emission data URL may be obtained by reading the graphic code displayed on the website of the gas company.

Returning to the description of the input screen shown in FIG. The output unit 230 displays the CO2 emission rate obtained as described above. If there is no need to update the CO2 emission rate, the CO2 emission rate displayed on the input screen can be used without touching the read button 802 .

The output unit 230 displays a numeric area 804 of actual usage quantities for each resource. The worker inputs the value of the actual usage quantity in the numeric area 804, and the input unit 220 accepts the actual usage quantity of each resource and sets it in the calculation data (FIGS. 11, 12, and 13).

The output unit 230 displays a numeric area 808 of the actual production quantity for each product. The operator inputs the value of the actual production quantity in the numeric area 808, and the input section 220 receives the actual production quantity of each product and sets it in the calculation data (FIGS. 11, 12, and 13).

When the input unit 220 receives the touch of the ratio button 806 corresponding to the resource, the output unit 230 displays the proportional division ratio screen for that resource. However, the ratio button 806 is displayed only for the resource whose actual usage quantity is measured by "whole". This is because, for resources whose actual usage quantity is measured for each product, the usage quantity for each product is not estimated by proportional division (see FIGS. 11, 12, and 13).

FIG. 20 is a diagram showing an example of the proportional division ratio screen.
Here, an example of the proportional division ratio screen regarding electric power is shown. The output unit 230 displays the predetermined proportional division ratio of electric power with a large number. In this example, the term for product A is '0.10', the term for product B is '0.12', and the term for product C is '0.14' at the predetermined proportional division ratio of power. These values match the values of the planned specific consumption of electric power (FIGS. 2(A), 3(A), and 4(A)). That is, in the predetermined proportional division ratio of electric power shown in this example, the planned basic unit of electric power is used as the ratio standard.

As a general rule, it is recommended that the planned basic unit of the resource be used as the ratio standard. However, it is also possible to use a ratio standard other than the planned basic unit of the resource. The output section 230 displays the ratio criterion candidates and the value of each product in the candidates. In this example, lot manufacturing time, lot heating time, capacity, product selling price, profit rate, cost rate, arbitrary criteria and scheduled unit consumption related to attributes other than those attributes are shown as candidates for ratio criteria. Not limited to this, any item can be a candidate for the ratio criterion. The operator can change the ratio criterion by selecting a ratio criterion candidate with the radio button 810 . In that case, each product's term in the proration ratio is replaced by each product's value in the modified ratio basis. When the arbitrary criterion is selected as the ratio criterion, the value input by the worker in the numeric area 812 is adopted as the arbitrary value of each product. When the decision button 814 is touched, the ratio standard selected on the proportional division ratio screen and the proportional division ratio based on that ratio basis are set as the proportional division ratio data. If the cancel button 816 is touched, the process ends without updating the proportional division ratio data. The proportional division ratio data will be described later with reference to FIG.

Information related to ratio standards other than the planned basic unit is stored in a product basic data storage unit (not shown) as product basic data. A product basic data storage unit is included in the data storage unit 250 .

FIG. 21 is a configuration diagram of proportional division ratio data.
The apportionment ratio data stores the ratio standard and the ratio standard regarding the resource for which the actual usage quantity is measured "total". The figure also shows units such as g (grams) and L (liters) for ease of understanding.

Returning to the description of the input screen shown in FIG. When the calculation button 809 is touched at the stage where the actual usage quantities of all resources and the actual production quantities of all products have been entered, the actual usage quantities of all resources and the actual production quantities of all products are converted into calculated data. (FIGS. 11, 12, and 13) is stored in the calculated data storage unit 260. FIG. Then, the specific consumption calculation unit 292 executes the actual consumption consumption calculation process shown in S42 of FIG. 16, and the emissions calculation unit 294 executes the CO2 emissions calculation process shown in S44. Then, the input screen processing ends, and the processing returns to S18 shown in FIG. When the calculation button 809 is touched, if any actual usage quantity has not been input, or if any actual production quantity of any product has not been input, the output unit 230 Display to prompt for input of quantity.

The actual specific consumption calculation process (S42 in FIG. 16) will be described. The basic unit calculation unit 292 calculates the actual basic unit for each resource (coffee powder, water, electric power, and gas) measured in the “total”. As described with reference to FIGS. 11, 12, and 13, the specific consumption calculator 292 first obtains the estimated usage quantity based on Equations 4, 5, 8, and 9.

Estimated quantity used in the manufacturing process 106 of product A = actual quantity used of “total” × (term of product A × actual quantity manufactured of product A / denominator) (Formula 4)

Denominator = Product A term x Product A actual manufacturing quantity + Product B term x Product B actual manufacturing quantity + Product C term x Product C actual manufacturing quantity (Formula 5)

Estimated usage quantity of manufacturing process 116 of product B = actual usage quantity of “total” × (term of product B x actual production quantity of product B / denominator) (Formula 8)

Estimated quantity used in manufacturing process 126 for product C =
= “Overall” actual quantity used x (term of product C x actual manufactured quantity of product C/denominator) (Formula 9)

The product A term, product B term, and product C term in the resource to be calculated are obtained from the proportional division ratio data of the proportional division ratio data storage unit 266 (FIG. 21). The actual production quantity of product A, the actual production quantity of product B, and the actual production quantity of product C are obtained from the calculation data (FIGS. 11, 12, and 13) in the calculation data storage unit 260. FIG. By substituting these into the above equations, the estimated quantity used in the manufacturing process 106 of product A, the estimated quantity used in the manufacturing process 116 of product B, and the estimated quantity used in the manufacturing process 126 of product C are calculated. Each estimated usage quantity is stored in the calculated data storage unit 260 as calculated data (FIGS. 11, 12, and 13).

As described with reference to FIGS. 11, 12 and 13, the basic unit calculation unit 292 identifies the consumption quantity of each resource for each product and stores it in calculation data. Then, the basic unit calculation unit 292 calculates the actual basic unit by dividing the consumption quantity by the actual production quantity of the product for each resource of each product. The calculated actual specific consumption is stored as calculation data (FIGS. 11, 12, and 13) in the calculated data storage unit 260, and is further stored as actual specific consumption data in the actual specific consumption data storage unit 262 in association with the manufacturing date. Stored.

The CO2 emission calculation process (S44 in FIG. 16) will be described. The emissions calculation unit 294 calculates the actual CO2 emissions for each resource for each product by multiplying the actual basic unit by the CO2 emission rate of the resource. The resource CO2 emission rate is obtained from the CO2 emission rate data (FIG. 19) in the CO2 emission rate data storage unit 254. FIG. The calculated actual CO2 emissions are stored in calculation data. The emissions calculation unit 294 adds up the actual CO2 emissions of each resource for each product to calculate the actual CO2 emissions per product. The actual CO2 emission amount of the product and the actual CO2 emission amount of each resource of the product are stored as actual CO2 emission amount data in the actual CO2 emission amount data storage unit 264 in association with the manufacturing date.

FIG. 22 is a flow chart showing the output screen processing process.
The flowchart shown in FIG. 22 shows detailed processing in the output screen processing (S18) shown in FIG. The output unit 230 repeats the following process for each product (S50). Output unit 230 processes product A, product B, and product C in this order, for example. The output unit 230 displays the output screen of each product (S52). The output screen will be described later with reference to FIG.

When the input unit 220 receives a touch on the specific consumption button (Y of S54), the process proceeds to specific consumption screen processing (S56). The specific consumption screen processing will be described later with reference to FIG. When the input unit 220 receives a touch on the registration button (Y of S58), the process proceeds to upload processing (S60). The upload process will be described later with reference to FIG. After finishing the upload process, the output screen of the product is closed. When the output unit 230 determines that there is an unprocessed product (Y of S62), the process returns to S50 and repeats the process for the next product. If there are no unprocessed products, output screen processing ends.

FIG. 23 is a diagram showing an example of an output screen.
Calculation results are mainly displayed on the output screen. Specifically, the output unit 230 displays the planned basic unit of each resource included in the planned basic unit data of the target product (FIGS. 1(A), 2(A), and 3(A)). Planned unit consumption is displayed as reference information for comparison with the calculated actual unit consumption.

The output unit 230 displays the actual basic unit of each resource of the target product included in the actual basic unit data. Furthermore, the output unit 230 displays the actual CO2 emissions of each resource of the target product included in the actual CO2 emissions data, and the total actual CO2 emissions of the target product.

When the input unit 220 accepts the touch of the back button 820, the input screen processing for the product is re-executed, and the numerical values in the actual usage quantity numerical area 804 and the actual production quantity numerical area 808 are input again. can be recalculated.

When the input unit 220 receives a touch on the specific consumption button 822, the output unit 230 displays the specific consumption screen for the product. The specific consumption screen will be described later with reference to FIG.

When input unit 220 receives a touch on registration button 824, upload unit 286 uploads the CO2 emission data to the WEB server in the upload process (S60 in FIG. 22). That is, the product CO2 emission data is stored in the storage location indicated by the product CO2 emission data URL. Alternatively, the URL recording unit 288 may record the CO2 emission data URL on a recording medium attached to the product. The process of recording on the recording medium by the URL recording unit 288 may be performed before uploading or may be performed after uploading.

FIG. 24 is a configuration diagram of CO2 emission data for product A: black coffee.
In this example, the illustrated product A: black coffee of CO2 emissions data is stored. Therefore, when the black coffee CO2 emission data URL recorded in the graphic code 800b attached to the bottled black coffee 108 is accessed, this CO2 emission data is transmitted as a response.

The CO2 emission data includes not only the CO2 emission (total) indicating the CO2 emission of the entire product, but also the CO2 emission of each resource. Each resource is associated with a CO2 emission data URL in which emission data of the resource is stored. Also included is a CO2 emission rate that indicates the amount of CO2 emitted per unit volume (ml in this example).

FIG. 25 is a diagram showing an example of a specific consumption screen.
The worker can refer to current and past actual consumption consumption on the consumption consumption screen, and can modify the planned consumption consumption.

The output unit 230 displays the planned consumption of the resources included in the planned consumption consumption data of the target product (FIGS. 1A, 2A, and 3A) in the numerical area 830 of the planned consumption of each resource. Show units. The worker can rewrite the value of the planned basic unit of resource displayed in the numeric area 830 . The input unit 220 accepts the rewritten value of the planned specific consumption of the resource.

The output unit 230 displays the current actual unit consumption and past actual unit consumption of each resource. In addition, the output unit 230 displays the average of the actual basic unit for 10 days including the current time for each resource. In this example, actual basic units and averages for 10 days including the current time are displayed, but a period longer than 10 days or a period shorter than 10 days may be targeted.

In particular, the actual unit consumption of each resource (coffee grounds, water, electricity, and gas) measured in the “total” is based on estimates, so there is a possibility of errors if the apportionment ratio does not match the actual situation. There is If the balance of the actual production quantity of each product fluctuates (for example, if there are days when more product A is manufactured and there are days when more product C is manufactured), the error in the apportionment ratio will cause the actual basic unit to increase. Variation is possible. By referring to the actual basic unit for the past, the worker can grasp the magnitude of the variation and estimate the appropriateness of the apportionment ratio. When the worker touches the apply button 832 and the input unit 220 accepts the touch on the apply button 832, the average value of the actual basic unit for 10 days is displayed in the planned basic unit numerical value area 830. copied. In other words, the average value of the actual specific consumption can be fed back to the planned specific consumption.

When the operator turns on the automatic application switch 834, the automatic updating unit (not shown) of the data processing unit updates the actual data for a predetermined period (for example, 10 days) including this time at predetermined intervals (for example, every 10 days). Find the average of the units and copy the average value to the scheduled intensity. In other words, the average value of the actual specific consumption is automatically fed back to the planned specific consumption. When the operator turns on the fully automatic application switch 836, all the displayed automatic application switches 834 are turned on. Here, an example of average is shown, but other statistical values such as mode or median may be used.

If the standard for the apportionment ratio of a certain resource is set as the planned unit consumption of that resource, and the average value of the actual unit consumption is manually or automatically fed back to the planned unit consumption, the variation in the actual unit consumption will naturally decrease, and the planned unit consumption will decrease. is expected to be adjusted to match the actual situation.

When the input unit 220 accepts the touch of the decision button 838, the value of the planned specific consumption numerical value area 830 is written in the planned specific consumption data. Also, if the automatic application switch 834 is ON, the automatic updating unit starts the process of automatically feeding back the average value of the actual specific consumption of the resource to the planned specific consumption. Then, the processing of the basic unit screen is finished. When the input unit 220 accepts the cancel button 840, the processing of the specific consumption screen is terminated.

FIG. 26 is a diagram showing an example of a CO2 emission amount display screen.
A user such as a purchaser of the product can refer to the contents of the CO2 emission amount data shown in FIG. 24 by reading the graphic code or RFID tag with the user terminal. In the black coffee CO2 emissions data window 602 shown here, the CO2 emissions of each resource are also displayed in addition to the "whole" CO2 emissions of the product.

Also, when a reference button 850 displaying a resource name is touched, a CO2 emission data window showing the content of CO2 emission data obtained from the CO2 emission data URL of the resource is displayed. This figure shows an example in which the ground coffee reference button 850 is touched and the ground coffee CO2 emissions data window 604 is displayed. As for the content of the CO2 emission data, the graphic code or RFID tag may be changed so that the display is changed for each product lot, or the latest data may be displayed regardless of the product lot.

FIG. 27 is a functional block diagram of the user terminal 500. As shown in FIG.
The user terminal 500 includes a user interface processing section 510 , a data processing section 580 , a network communication section 540 , a near field communication section 542 and a data storage section 550 . The user interface processing unit 510 receives user operations via a mouse or a touch panel, and is in charge of user interface processing such as image display and audio output. A network communication unit 540 is in charge of communication processing via a network. The short-range wireless communication unit 542 takes charge of communication processing by short-range wireless. The data storage unit 550 stores various data. The data processing unit 580 executes various processes based on the data acquired by the network communication unit 540 and the short-range wireless communication unit 542 and the data stored in the data storage unit 550 . Data processing unit 580 also functions as an interface for user interface processing unit 510 , network communication unit 540 , short-range wireless communication unit 542 and data storage unit 550 . In addition, user terminal 500 incorporates RFID reader 544 and camera 546 (or graphic code reader). The RFID reader 544 and camera 546 (or graphic code reader) may be external.

User interface processing unit 510 has reception unit 520 for inputting data by user operation and output unit 530 for outputting data to be provided to the user. Output unit 530 includes a CO2 emission data output unit 532 that outputs CO2 emission data.

Data processing unit 580 includes a URL acquisition unit 582 that acquires the CO2 emission data URL, and a window control unit 584 that controls windows displayed on the display.

The URL acquisition unit 582 causes the camera 546 (or a graphic code reader) to photograph the graphic code (for example, bar code or QR code) attached to the product, or causes the RFID reader 544 to read the RF tag attached to the product. to obtain the CO2 emissions data URL of the product.

The network communication unit 540 accesses the acquired CO2 emission data URL and downloads the product CO2 emission data. Downloading means receiving data from a computer (for example, a WEB server) on a network. The received data may be stored in a non-volatile storage area (e.g. hard disk drive) or only in a volatile storage area (e.g. random access memory) without being stored in non-volatile storage area. may be stored. The CO2 emission data output unit 532 generates a product CO2 emission data window based on the downloaded CO2 emission data and displays it on the display. The CO2 emission data output unit 532 may display part of the CO2 emission data of the product, or may display all of the CO2 emission data of the product. The CO2 emission data output unit 532 may output part or all of the product CO2 emission data in a manner other than display (for example, printing or transmission).

When accepting portion 520 accepts a touch on reference button 850, window control portion 584 refers to the CO2 emission rate data (FIG. 19) of CO2 emission rate data storage portion 254 to obtain the resource CO2 emission amount data URL. Identify. Then, a window for resource CO2 emission data is displayed in the same manner as in the case of product CO2 emission data.

According to embodiments, it is possible to easily estimate the actual unit consumption that fits the actual situation, assuming that the consumption of resources such as coffee grounds, electricity and gas is correctly estimated among the products. . As a result, the CO2 emissions of the resources used by the business can be allocated to any product manufactured by the business. In other words, the CO2 emissions of the consumed resources are covered by the entire product manufactured by the business without omission or duplication. In addition, it is expected that many businesses will calculate the CO2 emissions from their own products and disclose the CO2 emissions from their products to consumers and the like.

The reason why attention is focused on the ratio of the planned unit consumption is that the business operator, as a party and an expert, is expected to accurately estimate the balance between products regarding the unit consumption of resources. In other words, there is a high possibility that the actual unit consumption can be estimated more accurately if the ratio of the planned unit consumption is used for proportional division.

It also provides a mechanism that allows users such as product purchasers to easily refer to CO2 emissions using recording media and a web environment.

[Modification]
In the above example, the CO2 emission data URL is recorded on a recording medium (for example, barcode, QR code, RFID tag, etc.), but the CO2 emission data may be recorded on the recording medium. good. In that case, the acquisition unit 282 of the CO2 emission calculation device 200 can acquire the CO2 emission data directly from the recording medium. Further, instead of the upload unit 286 of the CO2 emission calculation device 200, an emission data writing unit (not shown) is provided. The emissions data writing unit writes CO2 emissions data on a recording medium attached to the product (for example, bar code, QR code, RFID tag, etc.). Also, instead of the URL acquisition unit 582 of the user terminal 500, a discharge amount data acquisition unit (not shown) may be provided. The emissions data acquisition unit acquires CO2 emissions data directly from a recording medium attached to the product (eg, barcode, QR code, RFID tag, etc.).

Furthermore, when recording the CO2 emission data on a recording medium, the CO2 emission data is encrypted in the encryption/decryption unit 290 of the CO2 emission calculation device 200 and then encrypted on the recording medium (for example, barcode, QR code, or RFID tag, etc.). Further, the CO2 emission data uploaded in the embodiment may be encrypted by the encryption/decryption unit 290 before being uploaded. Further, an encryption/decryption unit (not shown) may be provided in the user terminal 500, and the encrypted CO2 emission data may be decrypted in the encryption/decryption unit.

The WEB server in which the CO2 emission data is stored does not have to be a WEB server operated by the product company. A web server or the like that collectively manages CO2 emission data on products of a plurality of businesses may be used.

In the output unit 230, a printer may be used to print the CO2 emission amount in numbers and characters on the product body, product packaging, product container, seal label, slip, or the like.

Although gas and electricity are examples of energy sources in the embodiments, other fuels such as coke, petroleum, light oil, and gasoline may also be considered. Also, as indirect energy, resources such as heat and steam may be targeted. Resources also include catalysts and the like.

In the embodiments and variations, coffee and pizza have been described as easy-to-understand examples, but the disclosure herein can also be applied to the manufacture of other products such as batteries, automobiles, and energy. It goes without saying that we can. In addition, the production of products that can absorb CO2 during the production process (eg, carbonated water, beer, etc.) may be counted as "negative emissions." That is, the CO2 emission amount may be calculated as a negative value.

Greenhouse gases (GHG) are not limited to CO2, but also include methane and nitrous oxide generated by livestock and the like, and fluorocarbons used in semiconductor processes and the manufacture of home appliances. The techniques of the embodiment and modifications may be applied to emissions of greenhouse gases other than CO2. Alternatively, the emissions of greenhouse gases other than CO2 may be converted into CO2 emissions, and the techniques of the embodiments and modifications may be applied.

It should be noted that the present invention is not limited to the above-described embodiments and modifications, and can be embodied by modifying constituent elements without departing from the scope of the invention. Various inventions may be formed by appropriately combining a plurality of constituent elements disclosed in the above embodiments and modifications. Also, some components may be deleted from all the components shown in the above embodiments and modifications.

100a coffee liquor extraction process, 100b coffee liquor extraction process, 100c coffee liquor extraction process, 102 black coffee blending process, 104 black coffee bottling process, 106 product A: black coffee manufacturing process, 108 bottled black coffee, 112 standard coffee blending Process, 114 Standard Coffee Bottling Process, 116 Product B: Standard Coffee Production Process, 118 Bottled Standard Coffee, 122 Milk Coffee Mixing Process, 124 Milk Coffee Bottling Process, 126 Product C: Milk Coffee Production Process, 128 Bottled Milk Coffee, 200 CO2 emission calculation device, 210 user interface processing unit, 220 input unit, 230 output unit, 240 network communication unit, 242 short-range wireless communication unit, 244 wired communication unit, 250 data storage unit, 252 planned basic unit data Storage unit 254 CO2 emission rate data storage unit 256 Planned CO2 emissions data storage unit 258 Planned consumption amount data storage unit 260 Calculation data storage unit 262 Actual basic unit data storage unit 264 Actual CO2 emissions data storage unit , 266 proportional division ratio data storage unit, 280 data processing unit, 282 acquisition unit, 284 calculation unit, 286 upload unit, 288 URL recording unit, 290 encryption/decryption unit, 292 basic unit calculation unit, 294 emissions calculation unit, 300 Graphic code reader 302 RFID reader 306 graphic code printer 308 RFID writer 400a WEB server 400b WEB server 510 user interface processing unit 520 reception unit 530 output unit 532 CO2 emission amount output unit 540 network communication unit , 542 short-range wireless communication unit, 544 RFID reader, 546 camera, 550 data storage unit, 580 data processing unit, 602 black coffee CO2 emission data window, 604 coffee ground CO2 emission data window, 700a coffee liquid extractor, 700b Liquid coffee extractor 700c Liquid coffee extractor 700d Liquid coffee extractor 702a Liquid blender 702b Liquid blender 702c Liquid blender 702d Liquid blender 704a Bottling machine 704b Bottling machine 704c Bottling machine 704d Bottling machine, 710a power meter, 710b power meter, 710c power meter, 710d power meter, 712a gas meter, 712b gas meter, 712c gas meter, 712d gas meter, 714 lighting device, 716 air conditioner , 718 solar panel, 720 power controller, 722 distribution board, 724 water heater, 800a figure code, 800b figure code, 802 reading button, 804 numerical area, 806 ratio button, 808 numerical area, 809 calculation button, 810 radio button , 812 Numerical value area, 814 Decide button, 816 Cancel button, 820 Return button, 822 Basic unit button, 824 Register button, 830 Numerical value area, 832 Apply button, 834 Auto apply switch, 836 Fully automatic apply switch, 838 Decide button, 840 Cancel button, 850 coffee powder button

Claims (6)

an input unit for inputting the overall quantity of resources used and the quantity of each type of product manufactured, with respect to the manufacture of multiple types of products using a common resource;
A first condition that the total quantity used matches the sum of the product of the basic unit of the resource for each type and the production quantity of the type, and the ratio of the basic unit of the resource for each type to a predetermined a basic unit calculation unit that calculates the basic unit of the resource for each of the types so as to satisfy a second condition of matching the proportional division ratio;
attributing said resource to obtain each said type of product by multiplying said unit consumption of said resource in said each type by a predetermined rate indicative of the amount of carbon dioxide emitted by the production and/or use of said resource. and a carbon dioxide emissions calculation unit that calculates the emissions of carbon dioxide generated by: The input unit inputs a planned basic unit planned as the basic unit of the resource in each of the types;
2. The carbon dioxide emission calculation apparatus according to claim 1, wherein the predetermined proportional division ratio is a ratio of the planned basic unit for each of the types. Further comprising an update unit that updates the planned unit consumption of the resource for each type in a subsequent manufacturing opportunity based on the unit consumption of the resource for each type calculated by the unit consumption calculation unit. The carbon dioxide emission calculation device according to claim 2. an acquisition unit that acquires the predetermined rate from an external device via a network or acquires the predetermined rate from a recording medium attached to the resource;
4. The apparatus according to any one of claims 1 to 3, further comprising a decryption unit that decrypts the encrypted predetermined rate when the obtained predetermined rate is encrypted. carbon dioxide emissions calculator. An upload unit for uploading information based on the calculated carbon dioxide emissions to a storage location on a network indicated by an address recorded on a recording medium attached to the product, or a recording medium attached to the product. 5. The carbon dioxide emissions calculation device according to claim 1, further comprising a writing unit for writing information based on the calculated carbon dioxide emissions. a function of inputting the overall quantity of resources used and the quantity of each type of product to be manufactured, with respect to the manufacture of multiple types of products using a common resource;
A first condition that the total quantity used matches the sum of the product of the basic unit of the resource for each type and the production quantity of the type, and the ratio of the basic unit of the resource for each type to a predetermined a function of calculating the basic unit of the resource for each of the types so as to satisfy a second condition of matching the proportional division ratio;
attributing said resource to obtain each said type of product by multiplying said unit consumption of said resource in said each type by a predetermined rate indicative of the amount of carbon dioxide emitted by the production and/or use of said resource. A program characterized by causing a computer to exhibit a function of calculating the amount of carbon dioxide emissions generated by

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