Energy management device

Abstract

To provide an energy management device that can indicate how reliable a calculation result is.SOLUTION: An energy management device 100 for managing an energy consumption amount required for production of a product, comprises: a product unit energy calculation unit that calculates energy of a product unit based on a date and time of energy data in an energy data management table 21 having energy data having energy consumption of a production facility, and production data in a production data management table 22 having production data related to production; and a reliability degree calculation unit 14 which calculates a degree of reliability as an index for showing how reliable the energy consumption amount of the product unit calculated by the product unit energy calculation unit 13 is, and records the degree of reliability in a reliability degree management table 24.SELECTED DRAWING: Figure 1

Description

[Technical field]

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

[0002] Currently, CO2 emissions by country are measured using an estimate called "production-based CO2 emissions." Rather than directly measuring CO2 in the air using instruments, the amount is calculated by multiplying the "activity amount," which is used in economic statistics such as the amount of gasoline, electricity, gas, etc. used, by an "emissions coefficient."

[0003] At production sites, it is necessary to link the energy used for processes and equipment (CO2 emission information) with production information (quantity, operating status, quality) to calculate and manage CO2 emissions by product and lot, as well as to manage and analyze the CO2 emissions from each process that the product or lot goes through, and to link this to improvements in CO2 emissions from the perspective of each product or lot.

[0004] Patent Document 1 discloses a production energy management system that is constructed of a production management system that manages product production information and an energy management system that manages energy information related to product manufacturing and production equipment operation information, 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 production equipment operation information. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] JP 2010-67114 A Summary of the Invention [Problem to be solved by the invention]

[0006] The energy consumption required to calculate CO2 emissions is generally measured per factory or facility, not 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 by 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 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 for them to determine whether they can use the results.

[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. [Means for solving the problem]

[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 having energy data including the energy consumption of production equipment and 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 indicating 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. Effect of the Invention

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

[0011] [Figure 1] 1 is a diagram illustrating an energy management device according to a first embodiment. [Figure 2A] FIG. 13 is a diagram showing an example of linking energy data and production data. [Figure 2B] FIG. 13 is a diagram showing another example of linking energy data and production data. [Diagram 3] FIG. 11 is a diagram illustrating an example of an energy data management table. [Figure 4] FIG. 11 is a diagram showing an example of production data. [Diagram 5] FIG. 13 illustrates a calculation result management table. [Figure 6] FIG. 13 illustrates an example of a reliability management table. [Figure 7] FIG. 13 is a diagram illustrating an example of a relationship between energy data and production data. [Figure 8] FIG. 4 is a diagram showing an example of a data input screen according to the first embodiment. [Figure 9] 4 is a flowchart showing a reliability management process according to the first embodiment. [Figure 10] 5 is a flowchart showing a reliability derivation process according to the first embodiment. [Figure 11] FIG. 11 is a diagram showing an example of a calculation result display screen according to the first embodiment. [Figure 12] FIG. 11 is a diagram showing an example of a data input screen according to the second embodiment. [Figure 13] FIG. 11 is a diagram showing an example of a reliability calculation method input screen according to the second embodiment. [Figure 14] 13 is a flowchart showing a reliability derivation process according to the second embodiment. [Figure 15] FIG. 11 is a diagram showing an example of a calculation result display screen according to the second embodiment. [Figure 16] FIG. 11 is a diagram showing another input example of the reliability calculation method according to the second embodiment. [Figure 17]FIG. 11 is a diagram showing another example of the calculation result display screen according to the second embodiment. [Figure 18] FIG. 18 is a diagram showing the relationship between energy data and production data of the calculation results in FIG. 17. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0012] Hereinafter, an embodiment 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 the 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 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 showing how reliable the energy consumption per product calculated by the product unit energy calculation unit 13 is and records the reliability in a reliability management table 24, and a calculation result display processing unit 15 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 the energy data and the 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 consumed by 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 HDD (Hard disk drive) device and the like. The processing unit 10 is realized by executing a program on a RAM (Random Access Memory) or HDD by a CPU (Central Processing Unit). The input / output GUI 30 is a Graphical User Interface 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 and the like via a network 300.

[0015] First, we restate the challenges of 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 where energy data can be linked to data with the same granularity of date and time. When energy data 51 of equipment A and production data 52 of equipment A are available, the energy data 51 can be allocated according to the allocation ratio 53 of each date and time, and the energy amount 54 of product A can be calculated.

[0016] Regarding production numbers, the units may be number such as "pieces", mass such as "kg", or volume such as "liters", and are determined appropriately depending on the product.

[0017] Fig. 2B is a diagram showing another example of linking energy data and production data. Fig. 2B shows an actual case seen in a factory, where energy data is linked to production data with different date and time granularity. For energy data 51 of equipment A, the amount of electricity used per hour is available. However, for production data 52D of equipment A, only the number of production units per month is available. 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 of 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 (0.6) by the allocation ratio for 2022 / 4. The power usage at 11:00 and 12:00 on 2022 / 4 / 1 is also calculated by multiplying by the allocation ratio for 2022 / 4 of 0.6.

[0019] Comparing Figure 2A and Figure 2B, we can see that the power consumption of Product A varies from hour to hour. In this way, the calculation results of the energy consumption of each product vary depending on the usage data. Therefore, it is an issue for users to know how reliable the calculation results are.

[0020] An example of data stored in the storage unit 20 will be described. 3 is a diagram showing an example of the energy data management table 21. That is, the amount of power consumption for each date and time. For example, by installing an automatic meter reading terminal required for connection to an automatic meter reading communication network on a distribution board of a production factory, data on the amount of power consumption for each 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 includes the ratio of the actual value of the energy consumption of the equipment, the operation time of the equipment, and the like. Production data 22A is an example of the ratio of the actual value of the energy consumption of the equipment by year, and is 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. Production data 22B is the operation time of the production equipment. The operation time of equipment 1 and the operation 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] Fig. 5 is a diagram showing the calculation result management table 23. It shows the power consumption of each product for each date and time. Fig. 5 shows that product A used 5.3 kWh of power in the 10:00-12:00 hours and 16.0 kWh of power in the 11:00-12:00 hours.

[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 a number of production data names related to the product and their individual reliability. Specifically, product A uses "electricity data A" as the energy data, and the production data related to product A include "production data A," "production data B," and "production data C," and the individual reliability of each production data is determined to be "low," "high," and "low." In addition, the overall reliability is determined to be "low."

[0024] The relationship between the energy data and the production data will be described with reference to FIG. FIG. 7 is a diagram showing an example of the relationship between energy data and production data. "Power data A" is the amount of power (kWh) of a distribution board, and the power of equipment 1 and equipment 2 is supplied from the distribution board. "Production data A" is the ratio of the amount of power of equipment 1 and equipment 2 by year. Equipment 1 performs production work for item 1 and item 2. "Production data B" is the operating time of equipment 1 and item 1 by hour. Product A and product B are produced by item 1. "Production data C" is the production number of item 1 and product A by day. In this way, "production data A" is data by year, "production data B" is data by hour, and "production data C" is data by day, and the granularity of the data is different. In this embodiment, the reliability of the data, that is, the reliability of the amount of power of product A is calculated from data of different granularity. The calculation method will be described below.

[0025] In addition, when the production data is the actual value of the 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 the energy consumption of the target equipment to the sum of the actual values ​​of the energy consumption of the entire equipment. The result is 40×0.4 / (0.4+0.6)=16(kWh).

[0026] To explain further, in the case of Figure 7, the amount of power consumed by the distribution board is known, but the amount of power consumed by each of equipment 1 and equipment 2 is not known. It would be desirable to be able to measure the energy consumption of each piece of equipment at all times, but due to the cost involved, it may be measured only once a year, such as during maintenance, by installing measuring equipment. In such cases, the energy data is apportioned based on the ratio of the actual energy consumption value of the target equipment to the sum of the actual energy consumption values ​​of the entire equipment.

[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 prorates the energy data based on the ratio of the operation time required to produce the target product to the total operation time. 16×20 / 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. 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 places the mouse cursor over the selection in the product name input section 311 and clicks a button to display a pull-down menu from which the user can select a target product name. Similarly, the user places the mouse cursor over the selection in the energy data input section 312 and clicks a button to display a pull-down menu from which the user can select a target data name. The user places the mouse cursor over the selection in the production data input section 313 and clicks a button to display a pull-down menu from which the user can select a target data name. When multiple data are involved, the user selects multiple 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 execute button of the calculation execution unit 314, the product-unit energy consumption 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 the calculation of the product unit energy has been performed (step S61), and if the calculation of the product unit energy has been performed (step S61, Yes), the process proceeds to step S62, and if the calculation of the product unit 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 subroutine for reading data. 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 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 an individual reliability of the production data n (step S73).

[0034] When deriving 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), and determines whether or not n=0 (step S75), and if n=0 is not met, the process returns to step S73.

[0036] If n=0 (Yes at step S75), the reliability calculation unit 14 calculates the minimum value of all the individual reliability values, sets it as the overall reliability (step S76), and proceeds to step S63 of the main routine (see FIG. 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 product unit energy calculation result and the reliability calculation result of product A are displayed, and the user can know whether the reliability of the product unit energy calculation result 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", 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 degree to which the product unit energy calculation result is reliable.

[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 the user can set the reliability conditions. Descriptions of the same functions as 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 obtained 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 of 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 input section 332, a weight input section 333, and a registration section 334. The user inputs a name desired by the user into the reliability calculation method name input section 331 (for example, calculation method 1).

[0044] A threshold value for determining the reliability is input to the threshold input unit 332. The example in Fig. 13 shows an example of a two-level evaluation of reliability, "high" and "low", where "high" is determined to be 0.5 or more. The reliability may be set as a three-level evaluation, "high", "medium", and "low". The reliability may also be set as a five-level evaluation, "1" (highest reliability), "2", "3", "4", and "5" (lowest reliability).

[0045] Weight values ​​of multiple production data are input to the weight input unit 333. The example in Fig. 13 shows three examples of production data A, production data B, and production data 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. With reference to FIG. 14, differences from the reliability derivation process S70 in FIG. 10 will be described. The individual reliability of the production data n is derived (step S73A). In deriving the individual reliability, the reliability calculation unit 14 judges whether the granularity of the date and time of the energy data and the production data matches (step S731), and if the granularity matches (step S732, Yes), it judges the reliability as "high" and sets the individual reliability value Tn to 1 (step S732A), and if the granularity does not match (step S731, No), it judges the reliability as "low" and sets the individual reliability value Tn to 0 (step S733A).

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

[0049] If n=0 (step S75, Yes), the reliability calculation unit 14 calculates the 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).

number

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

number

[0052] If the reliability value P is equal to or greater than a preset threshold value P0, the reliability is set as "high." For example, the threshold value P0 is set to 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 has a reliability calculation method name display section 3233 added to the reliability calculation result display section 323 of the calculation result display screen 32 (see FIG. 11) of the first embodiment. As a result, in the case of FIG. 15, it can be seen that the calculation result has been calculated by calculation method 1 (see FIG. 13). The reliability in the reliability display section 3232 is "low", which is unchanged from FIG. 11.

[0054] Fig. 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 value is changed from that in Fig. 13. As calculation method 2, the weight value of the production data in the weight input section 333 is changed. In other words, it is considered that the user attaches importance to 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 is a calculation result display screen 32B, showing the calculation result based on the conditions in Fig. 16. As can be seen from this, the reliability of the reliability display section 3232 has been changed to "high". The reason for this change will be explained with reference to Fig. 18.

[0056] Fig. 18 is a diagram showing the relationship between the energy data and the production data in the calculation results of Fig. 17. Fig. 18 uses production data A (weight value 0.2), production data B (weight value 0.6), and production data C (weight value 0.2), and P0 = 0.5 is set as the threshold value (overall threshold value) for the reliability of "high" (see Fig. 16). As a result, the weighted individual reliability value pA of the production data A is 0, the weighted individual reliability value pB of the production data B is 0.6, and the weighted individual reliability value pC of the production data C is 0, and the reliability value P is calculated from formula (1) as P = 0.6. Since P ≧ P0, the reliability is "high" as a result, and an evaluation different from the result of Fig. 15 is obtained.

[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 formula (4). P=0×0.2+1×0.6+0×0.2=0.6(≧0.5) …(4)

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

[0059] The energy management device 100 of this embodiment has the following features. (1) An energy management device 100 that manages the energy consumption required for the production of a product includes a product unit energy calculation unit 13 that calculates the energy per product based on the energy data in an energy data management table 21 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 22 having production data related to production, and a reliability calculation unit 14 that calculates reliability as an index showing how reliable the energy consumption per 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 per 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 an individual reliability for each of the multiple production data, and set the minimum value of the individual reliabilities as the overall reliability of the multiple production data.

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

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

[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 an overall threshold, the reliability calculation unit 14 can set the reliability to high, and if the sum is less than the overall threshold, the reliability calculation unit 14 can set the reliability to low.

[0064] (6) In (1) above, when the production data is actual values ​​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 of the target equipment to the sum of the actual values ​​of 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 operation time of the equipment, the product unit energy calculation unit 13 prorates the energy data based on the ratio of the operation time required to produce the target product to the total operation time (for example, see production data 22B in Figure 4).

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

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

[0068] (10) In the above (4), 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 when the reliability calculation unit 14 calculates the reliability. This allows the user's thoughts on the production data to be taken into consideration. [Explanation of symbols]

[0069] 10 Processing section 11 Energy Data Management Department 12 Production Data Management Department 13 Product unit energy calculation section 14 Reliability calculation section 15 Calculation result display processing unit 20 Memory section 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 entry screen 32,32A,32B calculation result display screen 33,33A Reliability calculation method input screen 40 Communications Department 100 Energy Management Device 311 Product name input section 312 Energy Data Entry Section 313 Production Data Input Department 314 Calculation Execution Unit 315 Reliability condition setting section 321 Product name display area 322 Product unit energy calculation result display section 323 Reliability calculation result display section 331 Reliability calculation method name input section 332 Threshold input section 333 Weight Input Section 334 Registration Department S60 Reliability management process S70, S70A Reliability derivation process

Claims

1. An energy management device for managing an amount of energy consumption required for the production of a product, a product unit energy calculation unit that calculates energy per product based on the energy data in an energy data management table having energy data including 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; 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 a reliability management table. An energy management device comprising:

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

3. When linking the energy data and the production data, the reliability calculation unit sets the reliability to high when linking the energy data and the production data having the same date and time granularity, and sets the reliability to low when linking the energy data and the production data having a different date and time granularity. The energy management device according to claim 1 .

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

5. When the energy consumption per product is calculated based on a plurality of production data, the reliability calculation unit calculates the multiplication value for each of the plurality of production data, and if the sum of the multiplication values ​​is equal to or greater than an overall threshold, sets the reliability to high, and if the sum is less than the overall threshold, sets the reliability to low.

5. The energy management device according to claim 4.

6. When the production data is a performance value of the energy consumption for each piece of equipment measured, the product unit energy calculation unit allocates the energy data based on a ratio of the performance value of the energy consumption of the target equipment to the sum of the performance values ​​of the energy consumption of the entire equipment. The energy management device according to claim 1 .

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

8. When the production data is a production number, the product unit energy calculation unit prorates the energy data based on a ratio of the production number of the target product to the total production number. The energy management device according to claim 1 .

9. The energy management device further includes 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. The energy management device according to claim 2 .

10. The energy management device further includes an input unit for inputting a reliability calculation method used by the reliability calculation unit when calculating the reliability.

5. The energy management device according to claim 4.

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