Energy management device

Abstract

This energy management device (100) for managing energy consumption required for production of a product comprises: a product unit energy calculation unit (13) for calculating energy of a product unit on the basis of a date and time of energy data of an energy data management table (21) having energy data including energy consumption of the production facility and production data of a production data management table (22) having production data related to production; and a reliability calculation unit (14) for obtaining reliability as an index indicating how much the energy consumption amount of the product unit calculated by the product unit energy calculation unit (13) is reliable, and recording the reliability in a reliability management table (24).

Description

Energy Management Device

[0001] The present invention relates to an energy management device.

[0002] Currently, CO by country ２ Emissions are "production-based CO ２ CO2 emissions are measured directly using instruments and other methods. ２ Rather than measuring the amount of carbon dioxide emitted, it is calculated by multiplying the "amount of activity" used in economic statistics such as the amount of gasoline, electricity, gas, etc. used by the "emissions coefficient."

[0003] At production sites, the energy used in processes and equipment (CO ２ CO emissions information) and production information (quantity, operation status, quality) are linked, and CO emissions by product and lot are calculated. ２ Calculate and manage CO emissions at each process that products and lots go through. ２ It is necessary to manage and analyze emissions and link them to improvements in CO2 emissions from the perspective of each product and lot.

[0004] Patent Document 1 discloses a production energy management system that is constructed from a production management system that manages product production information and an energy management system that manages energy information related to product manufacturing and operation information of manufacturing equipment, and that performs various energy analyses related to production based on the production information from the production management system, the energy information from the energy management system, and the operation information of the manufacturing equipment.

[0005] JP 2010-67114 A

[0006] CO ２ The energy consumption required to calculate emissions is generally measured per factory or facility, rather than per product. To calculate the energy consumption per product, it is necessary to link the energy consumption per factory or facility with the production data of the product. However, since energy data and production data are usually managed in different systems, linking the data is difficult. In Patent Document 1, the energy consumption per product is calculated by linking the energy data and production data based on the date and time.

[0007] However, because it is not always possible to link energy data and production data based on date and time, the reliability of the calculated energy consumption per product varies depending on the data used for the calculation. Because users do not know how reliable the calculation results are, it can be difficult to determine whether they can be used.

[0008] The present invention has been made to solve the above-mentioned problems, and has an object to provide an energy management device that can indicate how reliable the calculation results are.

[0009] In order to achieve the above-mentioned object, the energy management device of the present invention is an energy management device that manages the amount of energy consumption required for the production of a product, and is characterized by having: a product unit energy calculation unit that calculates the energy per product based on the date and time of the energy data in an energy data management table that has energy data including the energy consumption of production equipment and the production data in a production data management table that has production data related to production; and a reliability calculation unit that calculates reliability as an index showing how reliable the energy consumption per product calculated by the product unit energy calculation unit is, and records the reliability in a reliability management table.

[0010] According to the present invention, it is possible to present how reliable the calculation results are.

[0011] 17 is a diagram showing an energy management device according to the first embodiment. FIG. 18 is a diagram showing an example of linking energy data and production data. FIG. 19 is a diagram showing another example of linking energy data and production data. FIG. 19 is a diagram showing an example of an energy data management table. FIG. 20 is a diagram showing an example of production data. FIG. 21 is a diagram showing an example of a calculation result management table. FIG. 22 is a diagram showing an example of a reliability management table. FIG. 23 is a diagram showing an example of a relationship between energy data and production data. FIG. 24 is a diagram showing an example of a data input screen according to the first embodiment. FIG. 25 is a flowchart showing reliability management processing according to the first embodiment. FIG. 26 is a flowchart showing reliability derivation processing according to the first embodiment. FIG. 27 is a diagram showing an example of a calculation result display screen according to the first embodiment. FIG. 28 is a diagram showing an example of a data input screen according to the second embodiment. FIG. 29 is a diagram showing an example of a reliability calculation method input screen according to the second embodiment. FIG. 29 is a flowchart showing reliability derivation processing according to the second embodiment. FIG. 29 is a diagram showing an example of a calculation result display screen according to the second embodiment. FIG. 29 is a diagram showing another input example of a reliability calculation method according to the second embodiment. FIG. 29 is a diagram showing another example of a calculation result display screen according to the second embodiment. FIG. 20 is a diagram showing the relationship between energy data and production data in the calculation results of FIG. 17.

[0012] Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. <First Embodiment> Fig. 1 is a diagram showing an energy management device 100 according to a first embodiment. The energy management device 100 includes a processing unit 10, a storage unit 20, an input / output GUI 30 (input / output unit), and a communication unit 40. The processing unit 10 includes an energy data management unit 11 that manages energy data, a production data management unit 12 that manages production data, a product-unit energy calculation unit 13 that calculates energy consumption per product based on the energy data and the date and time of the production data, a reliability calculation unit 14 that calculates reliability as an index indicating the reliability of the energy consumption per product calculated by the product-unit energy calculation unit 13 and records the reliability in a reliability management table 24, and a processing unit 15 that displays the calculation results calculated by the product-unit energy calculation unit 13 and the reliability calculation unit 14. The energy data management unit 11 and the production data management unit 12 obtain energy data and production data from an external system via the communication unit 40.

[0013] The memory unit 20 stores an energy data management table 21 having energy data including the energy consumption of the production equipment, a production data management table 22 having production data related to production, a calculation result management table 23 that manages the calculation results of the energy data management unit 11, and a reliability management table 24 that manages the calculation results of the reliability calculation unit 14.

[0014] The storage unit 20 is composed of a hard disk drive (HDD) device, etc. The processing unit 10 is realized by a central processing unit (CPU) executing programs on a random access memory (RAM) or HDD. The input / output GUI 30 is a graphical user interface (GUI) that allows a user to visually grasp commands and instructions to be issued to a computer on a screen, specify actions, and display output results. The communication unit 40 exchanges various data and commands with other servers, etc., via a network 300.

[0015] First, we will explain again the issues involved in linking energy data and production data. Fig. 2A is a diagram showing an example of linking energy data and production data. Fig. 2A shows an ideal case in which energy data can be linked to data with the same date and time granularity. When energy data 51 for facility A and production data 52 for facility A are available, the energy data 51 can be allocated according to the allocation ratio 53 for each date and time, and the energy amount 54 for product A can be calculated.

[0016] The unit of production volume may be the number of pieces, mass, or volume, and may be determined appropriately depending on the product.

[0017] Figure 2B is a diagram showing another example of linking energy data and production data. Figure 2B shows an actual case seen in a factory, where energy data is linked to production data with different date and time granularity. Energy data 51 for facility A indicates the amount of electricity used by each hour. However, production data 52D for facility A indicates only the number of units produced by each month. In this case, the energy data 51 is allocated according to the monthly average allocation ratio 53D, and the energy amount 54D of product A is calculated.

[0018] 2B , the energy amount 54D of product A is calculated by multiplying the value of the energy data 51 for equipment A by the value of the monthly average allocation ratio 53D. For example, the power usage of product A at 10:00 on 2022 / 4 / 1 (40 kWh) is calculated as 24 kWh by multiplying the power usage at 10:00 on 2022 / 4 / 1 by the allocation ratio of 0.6 for 2022 / 4. The power usage at 11:00 and 12:00 on 2022 / 4 / 1 is also calculated in the same way by multiplying by the allocation ratio of 0.6 for 2022 / 4.

[0019] 2A and 2B, it can be seen that the amount of power consumed by Product A varies over time. As such, the calculation results for the energy consumption of each product vary depending on the usage data. This creates a problem for users, as they are uncertain about how reliable the calculation results are.

[0020] An example of data stored in the storage unit 20 will now be described. Fig. 3 is a diagram showing an example of the energy data management table 21. That is, the data shows the amount of power used by date and time. For example, by installing an automatic meter reading terminal required for connection to an automatic meter reading communication network on the distribution board of a production factory, data on the amount of power used by hour can be obtained.

[0021] FIG. 4 is a diagram showing an example of the production data management table 22. In addition to the number of products produced, the production data management table 22 also includes the ratio of the actual energy consumption of the equipment and the operating time of the equipment. Production data 22A is an example of the ratio of the actual energy consumption of the equipment by year, and is the ratio of the actual energy consumption of the target equipment to the sum of the actual energy consumption of the entire equipment. Production data 22B is the operating time of the production equipment. The operating time of equipment 1 and the work time according to item number 1 using equipment 1 are shown. The target product is included in item number 1. Production data 22C is the production number of item number 1 by day and the production number of product A, which is the target product. This is an example of a case where the production number by hour cannot be obtained. Note that item number means the number of the work when producing the product.

[0022] 5 is a diagram showing the calculation result management table 23. It shows the power consumption of each product by date and time. In FIG. 5, it can be seen that product A consumed 5.3 kWh of power between 10:00 and 11:00, and consumed 16.0 kWh of power between 11:00 and 12:00.

[0023] FIG. 6 is a diagram showing an example of the reliability management table 24. FIG. 6 shows the calculation results calculated by the reliability calculation unit 14. The reliability management table 24 is composed of, for each product name, reliability (overall reliability), energy data, and multiple production data names related to the product and their individual reliabilities. Specifically, product A uses "electricity data A" as energy data, and the production data related to product A include "production data A," "production data B," and "production data C." The individual reliabilities of each production data are determined to be "low," "high," and "low." The overall reliability is also determined to be "low."

[0024] The relationship between energy data and production data will be described with reference to FIG. 7 . FIG. 7 is a diagram illustrating an example of the relationship between energy data and production data. “Power Data A” is the amount of power (kWh) from a distribution board, and power is supplied to equipment 1 and equipment 2 from that distribution board. “Production Data A” is the ratio of the amount of power consumed by equipment 1 and equipment 2 by year. Equipment 1 performs production work for items 1 and 2. “Production Data B” is the operating hours of equipment 1 and item 1 by hour. Product A and product B are produced by item 1. “Production Data C” is the number of items 1 and product A produced by day. As such, “Production Data A” is yearly data, “Production Data B” is hourly data, and “Production Data C” is daily data, with the data having different granularities. This embodiment is characterized by calculating the reliability of data, i.e., the reliability of the amount of power consumed by product A, from data of different granularities. The calculation method will be described below.

[0025] When the production data is the actual value of energy consumption for each piece of equipment measured, the product-unit energy calculation unit 13 apportions the energy data based on the ratio of the actual value of energy consumption for the target equipment to the sum of the actual values ​​of energy consumption for all equipment. Specifically, assuming 10:00 (between 10:00) on April 1, 2022, the ratio is 40 × 0.4 / (0.4 + 0.6) = 16 (kWh).

[0026] 7, the amount of power consumed by the distribution board is known, but the amount of power consumed by each facility 1 and facility 2 is not. While it would be desirable to be able to measure the energy consumption of each facility at all times, due to the cost involved, in some cases measuring is done only once a year during maintenance, using measuring equipment. In such cases, the energy data is apportioned based on the ratio of the actual energy consumption of the facility in question to the total actual energy consumption of the entire facility.

[0027] When the production data shown in the production data 22B is the operation time of the equipment, the product-unit energy calculation unit 13 apportions the energy data based on the ratio of the operation time required to produce the target product to the total operation time. Specifically, assuming 10:00 (between 10:00) on April 1, 2022, the energy is calculated as 16 x 20 / 40 = 8 (kWh).

[0028] When the production data shown in the production data 22C is the production number, the product-unit energy calculation unit 13 apportions the energy data based on the ratio of the production number of the target product to the total production number. Specifically, assuming 10:00 (between 10:00) on April 1, 2022, the ratio is 8 × 100 / 150 ≒ 5.3.

[0029] FIG. 8 is a diagram showing an example of a data input screen 31 according to the first embodiment. The data input screen 31 has a product name input section 311, an energy data input section 312, a production data input section 313, and a calculation execution section 314. The user moves the mouse cursor over the selection in the product name input section 311 and clicks the button to display a pull-down menu from which the user can select the target product name. Similarly, the user moves the mouse cursor over the selection in the energy data input section 312 and clicks the button to display a pull-down menu from which the user can select the target data name. The user moves the mouse cursor over the selection in the production data input section 313 and clicks the button to display a pull-down menu from which the user can select the target data name. When multiple data are involved, the user selects multiple pieces of data.

[0030] Specifically, in the case of Figure 8, "Product A," "Electricity Data A," "Production Data A," "Production Data B," and "Production Data C" are selected, and when the user presses the execution button of the calculation execution unit 314, the energy consumption per product and whether the reliability of that consumption is high or low are calculated.

[0031] 9 is a flowchart showing the reliability management process S60 according to the first embodiment. The reliability calculation unit 14 determines whether or not calculation of the product energy has been performed (step S61). If calculation of the product energy has been performed (step S61, Yes), the process proceeds to step S62, and if calculation of the product energy has not been performed (step S61, No), the process returns to step S61.

[0032] In step S62, the reliability calculation unit 14 proceeds to a data reading subroutine. In step S62, the reliability calculation unit 14 reads energy data from the energy data management table 21 (step S621), reads production data from the production data management table 22 (step S622), and then returns to the main routine. Then, the reliability calculation unit 14 executes the reliability derivation process S70.

[0033] 10 is a flowchart showing the reliability derivation process S70 according to the first embodiment. The reliability calculation unit 14 acquires the number N of production data (step S71), initializes a variable n to n=N (step S72), and derives the individual reliability of the production data n (step S73).

[0034] When deriving the individual reliability, the reliability calculation unit 14 determines whether the date and time granularity of the energy data and the production data matches (step S731), and if the granularity matches (step S732, Yes), it determines the reliability to be "high" (step S732), and if the granularity does not match (step S731, No), it determines the reliability to be "low" (step S733).

[0035] Then, the reliability calculation unit 14 decrements n (step S74), determines whether n=0 or not (step S75), and if n=0 is not true, returns to step S73.

[0036] If n=0 (step S75, Yes), the reliability calculation unit 14 calculates the minimum value of all the individual reliability values, sets it as the overall reliability value (step S76), and proceeds to step S63 of the main routine (see Figure 9).

[0037] In step S63 of FIG. 9, the reliability calculation unit 14 registers the overall reliability and the individual reliability in the reliability management table 24, and ends the reliability management process S60.

[0038] 11 is a diagram showing an example of a calculation result display screen 32 according to the first embodiment. The calculation result display screen 32 has a product name display section 321, a product unit energy calculation result display section 322, and a reliability calculation result display section 323. The reliability calculation result display section 323 has an individual reliability display section 3231 and a reliability display section 3232 (overall reliability display section).

[0039] 11, the calculation results of the product-unit energy consumption and the reliability calculation results of product A are displayed, and the user can know whether the reliability of the calculation results of the product-unit energy consumption is high or low. Specifically, it can be seen that the individual reliability of production data A is "low," the individual reliability of production data B is "high," and the individual reliability of production data C is "low," and the overall reliability is "low."

[0040] According to the energy management device 100 of the first embodiment, it is possible to present the reliability of the product-unit energy calculation result.

[0041] Second Embodiment In the second embodiment, a data input screen 31A (see FIG. 12), a reliability calculation method input screen 33 (see FIG. 13), and a reliability derivation process S70A (see FIG. 14) are provided so that a user can set reliability conditions. Descriptions of functions similar to those in the first embodiment will be omitted.

[0042] 12 is a diagram showing an example of a data input screen 31A according to the second embodiment. The data input screen 31A is configured by adding a reliability condition setting section 315 to the data input screen 31 (see FIG. 8) according to the first embodiment. When the user presses the setting button in the reliability condition setting section 315, a reliability calculation method input screen 33 is opened in a separate window.

[0043] 13 is a diagram showing an example of a reliability calculation method input screen 33 according to the second embodiment. The reliability calculation method input screen 33 has a reliability calculation method name input section 331, a threshold value input section 332, a weight input section 333, and a registration section 334. The user inputs a name desired by the user (e.g., calculation method 1) into the reliability calculation method name input section 331.

[0044] A threshold value (threshold value) for determining reliability is input to the threshold input unit 332. In the example of FIG. 13, reliability is evaluated in two stages, "high" and "low," and "high" is determined to be 0.5 or more. Reliability may be set as a three-stage evaluation, such as "high," "medium," and "low." Furthermore, reliability may be evaluated in five stages, such as "1" (highest reliability), "2," "3," "4," and "5" (lowest reliability).

[0045] Weight values ​​of multiple pieces of production data are input to the weight input unit 333. The example in Fig. 13 shows three pieces of production data A, B, and C, and the sum of the weight values ​​is 1. It is considered that the user attaches the most importance to production data A.

[0046] When the user inputs the calculation name, threshold value, and weight value and then presses the registration button in the registration section 334, the information is stored in the reliability calculation method table in the storage section 20.

[0047] 14 is a flowchart showing the reliability derivation process S70A according to the second embodiment. Regarding FIG. 14, differences from the reliability derivation process S70 in FIG. 10 will be described. The individual reliability of production data n is derived (step S73A). In deriving the individual reliability, the reliability calculation unit 14 determines whether the date and time granularity of the energy data and the production data matches (step S731). If the granularity matches (step S732, Yes), the reliability is determined to be "high" and the individual reliability value Tn is set to 1 (step S732A). If the granularity does not match (step S731, No), the reliability is determined to be "low" and the individual reliability value Tn is set to 0 (step S733A).

[0048] Then, the reliability calculation unit 14 decrements n (step S74), determines whether n=0 or not (step S75), and if n=0 is not true, returns to step S73A.

[0049] If n=0 (step S75, Yes), the reliability calculation unit 14 calculates a reliability value P (step S77), determines the reliability value P as the overall reliability based on the threshold value set in Fig. 13 (step S78), and proceeds to step S63 of the main routine (see Fig. 9). In step S63, the reliability calculation unit 14 registers the overall reliability and the individual reliability in the reliability management table 24, and ends the reliability management process S60.

[0050] (Calculation of Reliability Value P) The reliability value P is calculated in step S77 using equations (1) and (2). where pn is the weighted individual reliability value, Tn is the individual reliability value, and Wn is the weight value

[0051] When the first embodiment is expressed using equations (1) and (2), since Wn=1, it can be expressed by equation (3).

[0052] The reliability value P is a preset threshold value P ０ If the threshold value P is equal to or greater than the threshold value P, the reliability is set to "high." ０ = 0.5, but can be changed arbitrarily.

[0053] 15 is a diagram showing an example of a calculation result display screen 32A according to the second embodiment. The calculation result display screen 32A differs from the calculation result display screen 32 (see FIG. 11) of the first embodiment in that a reliability calculation method name display section 3233 is added to the reliability calculation result display section 323. As a result, in the case of FIG. 15, it can be seen that the calculation result has been calculated using calculation method 1 (see FIG. 13). The reliability in the reliability display section 3232 is "low", which is unchanged from FIG. 11.

[0054] 16 is a diagram showing another input example of the reliability calculation method according to the second embodiment. Fig. 16 shows an example of a reliability calculation method input screen 33A in which the setting values ​​have been changed compared to Fig. 13. As calculation method 2, the weight value of the production data in the weight input section 333 has been changed. In other words, it is considered that the user places importance on production data B.

[0055] Fig. 17 is a diagram showing another example of the calculation result display screen according to the second embodiment. Fig. 17 shows the calculation result display screen 32B, which shows the calculation results based on the conditions in Fig. 16. As can be seen from this, the reliability in the reliability display section 3232 has been changed to "high." The reason for this change will be explained with reference to Fig. 18.

[0056] 18 is a diagram showing the relationship between the energy data and the production data of the calculation results in FIG. 17. FIG. 18 shows the relationship between the energy data and the production data using production data A (weighted at 0.2), production data B (weighted at 0.6), and production data C (weighted at 0.2), with P ０ = 0.5 (see FIG. 16). As a result, the weighted individual reliability value pA of production data A is 0, the weighted individual reliability value pB of production data B is 0.6, and the weighted individual reliability value pC of production data C is 0, and the reliability value P is calculated as 0.6 from equation (1). P≧P ０ As a result, the reliability is "high," which is a different evaluation from the result in FIG.

[0057] That is, in the input example of FIG. 16, when the individual reliability values ​​of the three production data are 0, 1, and 0, and the weight values ​​are 0.2, 0.6, and 0.2, the reliability is determined to be "high" as shown in equation (4): P = 0 x 0.2 + 1 x 0.6 + 0 x 0.2 = 0.6 (≧ 0.5) ... (4)

[0058] According to the energy management device 100 of the second embodiment, it is possible to present the reliability of the product unit energy calculation result while taking into consideration the user's opinion.

[0059] The energy management device 100 of this embodiment has the following features: (1) The energy management device 100 manages the amount of energy consumption required for the production of a product, and includes: a product-unit energy calculation unit 13 that calculates the energy consumption for each product based on the date and time of energy data in an energy data management table 21 that has energy data including the energy consumption of production equipment and the production data in a production data management table 22 that has production data related to production; and a reliability calculation unit 14 that calculates reliability as an index indicating how reliable the energy consumption for each product calculated by the product-unit energy calculation unit 13 is, and records the reliability in a reliability management table 24. This makes it possible to present how reliable the calculation result of the energy consumption for each product is.

[0060] (2) In (1) above, when the energy consumption per product is calculated based on multiple production data, the reliability calculation unit 14 can calculate individual reliability for each of the multiple production data, and use the minimum value of the individual reliability as the overall reliability of the multiple production data.

[0061] (3) In (1) above, when linking energy data and production data, the reliability calculation unit 14 can set the reliability to high if the energy data and production data have the same date and time granularity, and can set the reliability to low if the energy data and production data have different date and time granularity. Note that in this embodiment, the reliability is evaluated in two levels, high and low, but this is not limited to this. Depending on the threshold setting in FIG. 13, a three-level evaluation, a five-level evaluation, etc., can be used.

[0062] (4) In (1) above, when linking energy data and production data, the reliability calculation unit 14 sets T to 1 if the energy data and production data have the same date and time granularity, and sets T to 0 if the energy data and production data have different date and time granularity. If the weight value of the reliability value is W, the reliability can be set to high if the multiplied value of T and W is equal to or greater than a predetermined threshold value, and can be set to low if the multiplied value is less than the threshold value.

[0063] (5) In (4) above, when the energy consumption per product is calculated based on multiple production data, the reliability calculation unit 14 calculates a multiplication value for each of the multiple production data, and if the sum of the multiplication values ​​is equal to or greater than the overall threshold, the reliability can be set to high, and if the sum is less than the overall threshold, the reliability can be set to low.

[0064] (6) In (1) above, when the production data is the actual value of the energy consumption of each piece of equipment measured, the product-unit energy calculation unit 13 apportions the energy data based on the ratio of the actual value of the energy consumption of the target equipment to the sum of the actual values ​​of the energy consumption of the entire equipment (for example, see production data 22A in Figure 4).

[0065] (7) In (1) above, when the production data is the operating time of the equipment, the product unit energy calculation unit 13 apportions the energy data based on the ratio of the operating time required to produce the target product to the total operating time (for example, see production data 22B in Figure 4).

[0066] (8) In (1) above, if the production data is the number of productions, the product unit energy calculation unit 13 apportions the energy data based on the ratio of the number of productions of the target product to the total number of productions (for example, see production data 22C in Figure 4).

[0067] (9) In (2) above, the energy management device 100 further includes a calculation result display processing unit 15 that displays the individual reliability of each production data item calculated by the reliability calculation unit 14 and the overall reliability on the display unit.

[0068] (10) In (4) above, the energy management device 100 further includes an input unit (see, for example, a reliability calculation method input screen 33) for inputting a reliability calculation method used by the reliability calculation unit 14 when calculating reliability. This allows the user's thoughts about the production data to be taken into consideration.

[0069] REFERENCE SIGNS LIST 10 Processing unit 11 Energy data management unit 12 Production data management unit 13 Product unit energy calculation unit 14 Reliability calculation unit 15 Calculation result display processing unit 20 Memory unit 21 Energy data management table 22 Production data management table 23 Calculation result management table 24 Reliability management table 30 Input / output GUI 31, 31A Data input screen 32, 32A, 32B Calculation result display screen 33, 33A Reliability calculation method input screen 40 Communication unit 100 Energy management device 311 Product name input unit 312 Energy data input unit 313 Production data input unit 314 Calculation execution unit 315 Reliability condition setting unit 321 Product name display unit 322 Product unit energy calculation result display unit 323 Reliability calculation result display unit 331 Reliability calculation method name input unit 332 Threshold value input unit 333 Weight input unit 334 Registration unit S60 Reliability management process S70, S70A Reliability derivation process

Claims

1. An energy management device that manages the amount of energy consumption required for the production of a product, comprising: a product unit energy calculation unit that calculates the energy consumption per product based on the energy data in an energy data management table having energy data including the energy consumption of production equipment and the date and time of the production data in a production data management table having production data related to production; and a reliability calculation unit that calculates a reliability as an index showing how reliable the energy consumption per product calculated by the product unit energy calculation unit is, and records the reliability in the reliability management table.

2. The energy management device according to claim 1, characterized in that, when the energy consumption per product is calculated based on multiple production data, the reliability calculation unit calculates an individual reliability for each of the multiple production data, and sets the minimum value of the individual reliabilities as the overall reliability of the multiple production data.

3. The energy management device of claim 1, characterized in that, when linking the energy data and the production data, the reliability calculation unit sets the reliability to high when linking the energy data and production data with the same date and time granularity, and sets the reliability to low when linking the energy data and the production data with a different date and time granularity.

4. The energy management device of claim 1, wherein the reliability calculation unit, when linking the energy data and the production data, sets T to 1 when the energy data and production data having the same date and time granularity are linked, and sets T to 0 when the energy data and production data having a different date and time granularity are linked, and sets a weight value of the reliability, W, to the reliability as high if the multiplied value of T and W is equal to or greater than a predetermined threshold, and sets the reliability as low if the multiplied value is less than the threshold.

5. The energy management device of claim 4, wherein when the energy consumption per product is calculated based on multiple production data, the reliability calculation unit calculates the multiplication value for each of the multiple production data, and if the sum of the multiplication values ​​is equal to or greater than an overall threshold value, sets the reliability to high, and if the sum is less than the overall threshold value, sets the reliability to low.

6. The energy management device according to claim 1, characterized in that, when the production data is actual values ​​of energy consumption for each piece of measured equipment, the product unit energy calculation unit apportions the energy data based on the ratio of the actual value of energy consumption of the target equipment to the sum of the actual values ​​of energy consumption of the entire equipment.

7. The energy management device according to claim 1, characterized in that, when the production data is the operation time of equipment, the product unit energy calculation unit apportions the energy data based on the ratio of the operation time required to produce the target product to the total operation time.

8. The energy management device according to claim 1, characterized in that, when the production data is production volume, the product unit energy calculation unit apportions the energy data based on the ratio of the production volume of the target product to the total production volume.

9. The energy management device according to claim 2, further comprising a calculation result display processing unit that displays the individual reliability for each of the production data calculated by the reliability calculation unit and the overall reliability on a display unit.

10. The energy management device according to claim 4, further comprising an input unit for inputting a reliability calculation method used by the reliability calculation unit when calculating the reliability.

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