Data processing apparatus

Abstract

To provide a data processing apparatus for calculating a greenhouse gas emission amount.SOLUTION: An embodiment comprises time series data acquisition means, energy calculation means, product information acquisition means, tracking processing means, emission intensity acquisition means, product-specific activity amount calculation means, product-specific emission amount calculation means, and storing means. The time series data acquisition means acquires time series data including a control signal. The energy calculation means calculates time series energy data from the time series data. The product information acquisition means acquires a product ID. The tracking processing means extracts tracking data from the time series data. The emission intensity acquisition means sets data on the emission intensity. The product-specific activity amount calculation means calculates an activity amount from the tracking data and the time series energy data. The product-specific emission amount calculation means calculates a GHG emission amount from the emission intensity and the activity amount.SELECTED DRAWING: Figure 1

Description

[Technical field]

[0001] An embodiment of the present invention relates to a data processing device that compiles energy amount data and activity amount for each product in a plant. [Background technology]

[0002] As an example of energy data management in a plant, an energy data management device has been proposed in Patent Document 1. This data management device associates time-series energy data with product information and event information, and manages energy for each product. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Patent Publication No. 2022-92898 Summary of the Invention [Problem to be solved by the invention]

[0004] In recent years, there has been a demand to grasp the amount of greenhouse gas emissions that are generated by the energy consumed during the manufacture and transportation of products manufactured in a plant.

[0005] The embodiments of the present invention have been made to solve the above-mentioned problems, and an object of the present invention is to provide a data processing device that can grasp the amount of greenhouse gas emissions for each product in a plant. [Means for solving the problem]

[0006] A data processing device according to an embodiment of the present invention includes: a time-series data acquisition means for collecting a plurality of control signals from a control device that controls a control system that controls a plant and generating a plurality of time-series data synchronized with each other; an energy calculation means for calculating a plurality of time-series energy data, which are time-series data of energy, based on the plurality of time-series data; a product information acquisition means for acquiring an identification ID for identifying a product manufactured in the plant from the control device; a tracking processing means for extracting two or more tracking data set in advance from the plurality of time-series data and associating the data with the identification ID to generate two or more tracking information for each product ID; an emission intensity acquisition means having two or more emission intensity units associated with two or more identification numbers set for each energy type; a product-specific activity amount calculation means for associating the time-series energy data with the tracking information to calculate two or more activity amounts for each product ID; a product-specific emission amount calculation means for calculating two or more emission amounts for each product ID based on the two or more emission intensity units and the two or more activity amounts; and a storage means for storing the two or more activity amounts and the two or more emission amounts together with the product ID. The energy calculation means associates the plurality of time-series energy data with the two or more identification numbers, respectively. The tracking processing means associates the two or more tracking data with the two or more identification numbers, respectively. The product-specific activity amount calculation means calculates the two or more activity amounts based on the two or more time-series energy data and the two or more tracking data, each associated with the two or more identification numbers. The product-specific emission amount calculation means calculates the two or more emission amounts based on the two or more emission unit values ​​and the two or more activity amounts, each associated with the two or more identification numbers. Effect of the Invention

[0007] According to an embodiment of the present invention, it is possible to provide a data processing device capable of grasping the amount of greenhouse gas emissions for each product in a plant. [Brief description of the drawings]

[0008] [Figure 1] 1 is a schematic block diagram showing an example of the overall configuration of a data processing system including a data processing device according to an embodiment; [Diagram 2] FIG. 2 is a schematic diagram illustrating an example of a hardware configuration of a data processing device according to an embodiment. [Diagram 3] FIG. 2 is a diagram illustrating an example of a software configuration of the data processing device according to the embodiment. [Figure 4] 13 is an example of a flowchart illustrating a process for calculating greenhouse gas emissions for each product. [Diagram 5] FIG. 13 is a schematic diagram showing a method for calculating an activity amount by product. [Figure 6] FIG. 13 is a table diagram showing a data format for storing the results of calculation of activity amounts by product. [Figure 7] FIG. 11 is a table diagram showing a data format for storing the results of greenhouse gas emissions by product. DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0009] Hereinafter, an embodiment will be described with reference to the drawings. The drawings are schematic or conceptual, and the relationship between the thickness and width of each part, the size ratio between parts, etc. are not necessarily the same as in reality. Even when the same part is shown, the dimensions and ratios of each part may be different depending on the drawing. In this specification and each drawing, elements similar to those described above with reference to the previous drawings are given the same reference numerals and detailed descriptions thereof will be omitted as appropriate.

[0010] FIG. 1 is a schematic block diagram showing an example of the overall configuration of a data processing system including a data processing device according to an embodiment. 1, the data processing system 100 includes a data processing device 10, a control device 20, and a display device 30. The data processing device 10 and the control device 20 are connected to each other so as to be able to communicate with each other via a control network 102. As in this example, a plurality of control devices 20 may be connected to the control network 102, or the control network 102 may only have one control device 20. The control device 20 is, for example, a programmable logic controller (PLC).

[0011] The data processing device 10 and the display device 30 are connected to each other so as to be able to communicate with each other via a higher-level network 104. The higher-level network 104 is, for example, a general-purpose Ethernet (registered trademark) or the like. The display device 30 is, for example, a general-purpose computer device.

[0012] The data processing device 10 collects control signals input and output by the control device 20 as time-series data via the control network 102. The control signals include those related to various data such as the following: manufacturing instruction data, manufacturing performance data, alarm data, roll data, model calculation data, model learning data, constant data, and parameter data.

[0013] FIG. 2 is a schematic diagram illustrating an example of a hardware configuration of a data processing device. The configuration shown in the figure is an example, and the data processing device 10 may have another configuration. The data processing device 10 includes a CPU 101, a memory 102, a storage unit 103, a communication unit 104, an input unit 105, and an output unit .

[0014] The CPU 101 reads out the programs stored in the storage unit 103 into the memory 102 and executes them sequentially. Each software function unit of the data processing device 10, which will be described later in relation to Fig. 3, is realized by a program executed by the CPU 101. Each software function unit in Fig. 3 provides temporary storage of data and stores a database, using a part of the storage area provided by the storage unit 103 shown in Fig. 2.

[0015] The storage unit 103 stores various data and programs. The storage unit 103 is preferably a non-volatile storage device, such as a hard disk drive, a solid state drive, or a flash memory.

[0016] The communication unit 104 is an interface for connecting to a communication network including the higher-level network 104 and the control network 102. The communication unit 104 is, for example, an adapter for connecting to Ethernet (registered trademark), and may include a modem for connecting to a public telephone line network, a wireless communication device for wireless communication, a USB (Universal Serial Bus) connector or an RS232C connector for serial communication, etc.

[0017] The input unit 105 includes an input device for inputting data and an interface with the input device. The input device includes, for example, a keyboard, a mouse, a touch panel, a button, a microphone, and the like.

[0018] The output unit 106 includes an output device that outputs data and an interface with the output device. The output device includes, for example, a display, a printer, a speaker, and the like.

[0019] FIG. 3 is a diagram illustrating an example of a software configuration of the data processing device. As shown in FIG. 3, the data processing device 10 has a time series data acquisition unit (time series data acquisition means) 201, a product information acquisition unit (product information acquisition means) 202, an emission intensity acquisition unit (emission intensity acquisition means) 203, a tracking processing unit (tracking processing means) 204, an energy calculation unit (energy calculation means) 205, a product activity amount calculation unit (product activity amount calculation means) 206, a product activity amount storage unit (storage means) 207, a data output unit 208, and a product emission amount calculation unit (product emission amount calculation means) 209. These multiple functional units are realized by software that executes each of the multiple functions. Each of these multiple functional units may be realized by software corresponding to the respective units, or some of the multiple functional units may be realized by one piece of software. In addition, these multiple functional units may of course be realized by a single piece of software.

[0020] The time series data acquisition unit 201 collects control signals as time series data via the control network 102. Which control signals are to be collected is set in advance. The collected time series data is stored in, for example, a storage unit managed by the time series data acquisition unit 201.

[0021] The time series data is data in which the values ​​of a plurality of acquired control signals are associated with a time stamp for each time at which the value was acquired. The acquisition cycle of the control signals is set in advance, and can be set, for example, based on the control cycle of the control network 102. By setting the acquisition cycle of the control signals to the control cycle of the control network 102 or an integer multiple thereof, the time series data can be data in which the plurality of control signals are time-synchronized.

[0022] The product information acquisition unit 202 collects product information via the control network 102. Depending on the plant control system, some or all of the product information may be managed by a process controller such as a PLC, and in such cases, the product information acquisition unit 202 also collects product information from the PLC. In addition, if a host computer or the like connected to the host network 104 manages some of the product information, the product information acquisition unit 202 collects product information from the host computer or the like via the host network 104.

[0023] The product information includes a product ID consisting of an identification number that identifies each product. The product ID is associated with attribute information of the product. For example, in the case of a steel plant, the product attribute information includes, for example, the steel type, thickness, length, weight, etc.

[0024] The emission intensity acquisition unit 203 acquires the emission intensity and sets it in the data processing device 10. The emission intensity refers to the amount of greenhouse gas emissions per economic amount of activity, including the production of products in a plant. The amount of activity is, for example, the amount of energy, and in the case of electrical energy, it is expressed in units of electrical energy [kWh]. The emission intensity is also called an emission coefficient, and in the case of electrical energy, it is the amount of greenhouse gas emissions per unit electrical energy.

[0025] The emission intensity unit to be acquired is, for example, one that has been calculated and set in advance by a company or its affiliated company that calculates greenhouse gas emissions using the data processing device 10. In addition, when it is difficult for a company or its affiliated company to perform calculations in-house, data set based on ministerial ordinances enacted by the Ministry of the Environment or the like may be used. The emission intensity unit may be set by acquiring data managed by the company's upper computer or the like via the upper network 104, or may be set by the operator of the data processing device 10 manually inputting data. When data from an external organization such as the Ministry of the Environment is used, if a network connection with the external organization is possible, for example, a necessary communication protocol may be set to automatically acquire data, or manually acquired data may be manually set in the emission intensity unit acquisition unit 203.

[0026] The emission intensity acquisition unit 203 sets the acquired emission intensity in association with an identification number or identification symbol set for each energy type. This allows the product-specific emission calculation unit 209, which will be described later, to easily calculate the amount of greenhouse gas emissions using the emission intensity and activity amount data associated with the same identification number or identification symbol.

[0027] Data corresponding to control signals that can be used for tracking products is set in advance as tracking data in the time-series data collected by the time-series data acquisition unit 201. The tracking processing unit 204 inputs the tracking data and the product information acquired by the product information acquisition unit 202. The tracking processing unit 204 associates the tracking data with the product information and generates tracking information for each product.

[0028] In the tracking processing unit 204, tracking data is set for each energy type. The energy type indicates the energy source of the activity that emits greenhouse gases, such as the amount of electricity, the amount of natural gas energy, the amount of energy from other gases, and the amount of energy from water vapor. For example, an identification number or an identification symbol is associated with the tracking data so that the amount of electricity, the amount of natural gas energy, the amount of energy from other gases, and the amount of energy from water vapor can be identified.

[0029] The energy calculation unit 205 calculates the time-series energy usage based on the time-series data collected by the time-series data acquisition unit 201. A definition equation for energy calculation is set in advance in the energy calculation unit 205. Necessary control signals are set in the definition equation for energy calculation, and the energy calculation unit 205 calculates energy for each time using the time-series data corresponding to these control signals. The energy calculation unit 205 puts the energy data for each time into a time series, and stores the time-series energy usage in a storage unit managed by the energy calculation unit 205.

[0030] The time-series energy usage is calculated for each energy type. For example, an identification number or identification symbol (hereinafter also referred to as an identification number, etc.) is associated with the time-series energy usage data so that the amount of electricity, the amount of natural gas energy, the amount of energy from other gases, and the amount of energy from water vapor can be identified. In this case, the identification number, etc. is set in the tracking processing unit 204 so as to correspond to the identification number, etc. associated with the calculated tracking data.

[0031] The product-specific activity amount calculation section 206 associates the tracking information for each product generated by the tracking processing section 204 with the time-series energy consumption calculated by the energy calculation section 205. This allows the product-specific activity amount calculation section 206 to calculate the activity amount for each product for each energy type.

[0032] The product-specific emission calculation unit 209 calculates the greenhouse gas emission amount by energy for each product based on the activity amount for each product associated with the tracking information calculated by the product-specific activity amount calculation unit 206 and the emission intensity acquired by the emission intensity acquisition unit 203. The product-specific emission calculation unit 209 calculates the emission amount by multiplying the activity amount having the same identification number, etc. by the emission intensity.

[0033] The product-specific activity amount storage unit 207 stores the activity amount data calculated by the product-specific activity amount calculation unit 206 and the product-specific emission amount calculation unit 209 in a predetermined format.

[0034] The data output unit 208 outputs the activity amount for each plant and each product from the product-specific activity amount storage unit 207 based on the set conditions. The data output unit 208 can output the greenhouse gas emission amount for each activity amount for each product manufactured in the target plant. The data output unit 208 can output the greenhouse gas emission amount for each activity amount for each product manufactured in the target plant. Details of the data format and the like stored in the product-specific activity amount storage unit 207 and output by the data output unit 208 will be described later with reference to Figs. 6 and 7.

[0035] FIG. 4 is an example of a flowchart illustrating the flow of a process for calculating greenhouse gas emissions for each product. In the flowchart of Figure 4, it is assumed that the emission intensity for each emission source has been surveyed and collected in advance, and the collected emission intensity data has been stored in a memory unit managed by the emission intensity acquisition unit 203 for each emission source.

[0036] 4, in step S1, the time series data acquiring unit 201 of the data processing device 10 acquires time series data of a preset control signal via the control network 102. The acquired time series data is stored for each control signal in a storage unit managed by the time series data acquiring unit 201, for example.

[0037] In step S2, the energy calculation unit 205 calculates the energy usage based on the time series data acquired by the time series data acquisition unit 201 and a preset energy calculation formula. The energy calculation unit 205 stores the calculated time series energy usage in a storage unit managed by the energy calculation unit 205 in association with the identification numbers or the like for each of these energy types.

[0038] In step S3, the product information acquisition unit 202 acquires product information via the control network 102. If necessary to acquire the product information, the product information acquisition unit 202 collects product information from a higher-level computer or the like via the higher-level network 104.

[0039] In step S4, the tracking processing unit 204 extracts preset tracking data from the time-series data collected by the time-series data acquisition unit 201. The tracking processing unit 204 generates tracking information for each product by associating the tracking data with the product information acquired by the product information acquisition unit 202. The tracking information is associated with an identification number for each energy type, etc.

[0040] In step S5, the product-specific activity amount calculation section 206 associates the tracking information generated by the tracking processing section 204 with the data of the time-series energy usage amount, and processes the calculation of the activity amount for each product.

[0041] A method for associating tracking information with time series energy usage data is described. FIG. 5 is a schematic diagram showing a method for calculating the activity amount by product. 5 shows time-series energy amount data, which is obtained by calculating the amount of energy for each time period based on the definition equation for energy calculation defined in the energy calculation unit 205, of the time-series data collected by the time-series data acquisition unit 201 and arranging the data in chronological order. In this data, the type of energy is electric energy, and the data is shown as time-series data of power consumption (amount of power) [kWh].

[0042] The second diagram in Fig. 5 shows data on the time change of the tracking signal collected by the time-series data acquisition unit 201. In this example, tracking starts when the tracking signal level changes from L to H, and tracking ends when the tracking signal level changes from H to L. The tracking signal is not limited to this example, and any appropriate method can be used as long as it can detect the presence or absence of the product, entry into the process, and discharge. The product-specific activity amount calculation unit 206 is preset so as to detect the product position in an appropriate form according to the tracking signal.

[0043] The bottom diagram in FIG. 5 shows the time series energy usage extracted for the period corresponding to the tracking signal.

[0044] 5, the product-specific activity amount calculation unit 206 extracts the period from time t1 when the tracking signal changes from L to H to time t2 when the tracking signal changes from H to L, and stores the extracted time series data, for example, in a storage unit managed by the product-specific activity amount calculation unit 206. In Fig. 5, the area of ​​the shaded region represents the activity amount (here, power consumption [kWh]) across the relevant equipment of a product having a product ID identified by the tracking signal.

[0045] By associating this data with an identification number representing the type of energy, it is possible to process all energy consumption related to manufacturing at the plant and manage it by activity level.

[0046] In step S6, the product-specific emission calculation unit 209 calculates the emission amount by product by multiplying the energy amount data calculated and stored by the product-specific activity amount calculation unit 206 by the emission intensity data collected in advance and stored in the emission intensity acquisition unit 203. The product-specific energy amount data is associated with an identification number for each energy type, and the emission intensity data is also associated with an identification number for each energy type. Therefore, the product-specific emission calculation unit 209 can calculate the product-specific emission amount for each energy type by extracting the energy amount data and the emission intensity data associated with the identification number representing the same energy type, and multiplying these data together.

[0047] In step S7, the product-specific activity amount storage unit 207 stores data on the amount of energy and the amount of emission for each product. The product-specific activity amount storage unit 207 stores the data on the amount of energy and the amount of emission by classifying the amounts of energy and the amount of emission for each emission source.

[0048] Although not shown in FIG. 4, the product-specific activity amount storage unit 207 stores data on the amount of energy and emission for each product, and the data output unit 208 outputs the data in a desired format in accordance with the extraction conditions by setting predetermined extraction conditions.

[0049] FIG. 6 is a table diagram for storing the results of calculation of the amount of activity by product. As shown in FIG. 6, the product-specific activity amount storage unit 207 stores in table TBL1 each data item associated with each product, including the manufacturing date, the weight of the product (characteristic 1), the thickness of the product (characteristic 2), activity amount 1 (electricity), activity amount 2 (natural gas), and activity amount 3 (steam).

[0050] Each product is identified by a product ID, and data on the product ID, the manufacturing date, weight, and thickness of the product having that product ID are acquired by the product information acquisition unit 202. Activity amount 1 to activity amount 3 correspond to identification numbers according to the energy type by the energy calculation unit 205.

[0051] FIG. 7 is a table diagram that stores the results of greenhouse gas emissions by product. As shown in FIG. 7, the product-specific activity amount storage unit 207 stores the emission amount for each activity amount calculated by the product-specific emission calculation unit 209 in a table TBL2 in association with the product ID.

[0052] In TBL2, "Total TonCO2" represents the sum of activity amounts 1 to 3, and indicates the total amount of greenhouse gases generated in the plant by the production of the product. "Weight unit consumption" represents the amount of greenhouse gases per unit weight of the product. In addition, the amount of greenhouse gases generated per hour may be calculated and stored as data.

[0053] The data output unit 208 can set conditions and extract desired data based on the tables TBL1 and TBL2 stored in the product-specific activity amount storage unit 207. The conditions can be, for example, a product ID as a key to extract desired data. For example, if a product ID contains specific characters, numbers, or symbols and represents a specific product group, the activity amount and emissions of the specific product group can be output by using some of the characters as a key. The manufacturing date can also be used as a key, or the data can be sorted by weight basic unit order, for example.

[0054] In the above specific example, the activity amount and emission data for each product in one plant are aggregated. However, if identification data for identifying each plant can be associated with a product ID or the like and collected as product information, the data can also be aggregated as data for each plant.

[0055] The effects of the data processing system 100 according to the embodiment will be described. The data processing system 100 according to the embodiment includes a time series data acquisition unit 201, a product information acquisition unit 202, a tracking processing unit 204, and an energy calculation unit 205. The time series data acquisition unit 201 and the product information acquisition unit 202 are communicably connected to the control network 102 and the upper network 104, and therefore can collect time series data such as control signals for calculating the activity amount of the product, and calculate the time series energy usage amount based on the collected time series data by the energy calculation unit 205.

[0056] The tracking information generated by the tracking processing unit 204 is managed in association with an identification number or the like for identifying an energy type. In addition, the time-series energy usage calculated by the energy calculation unit 205 is also calculated for each energy type and associated with an identification number or the like for identifying an energy type.

[0057] The data processing device 10 includes a product-specific activity amount calculation unit 206. The product-specific activity amount calculation unit 206 calculates the activity amount for each product using tracking information and time-series energy consumption data having the same identification number. Since the activity amount is calculated for each identification number, etc., even if the same energy is consumed by different devices or equipment, the total value of the activity amount can be easily calculated by adding them up.

[0058] The data processing device 10 further includes an emission intensity acquisition unit 203 and a product-specific emission amount calculation unit 209. The product-specific emission amount calculation unit 209 can calculate the emission amount for each product and each emission source based on the emission intensity for each emission source set in the emission intensity acquisition unit 203 and the emission amount for each emission source calculated in the product-specific activity amount calculation unit 206. The emission intensity acquisition unit 203 also associates the emission intensity with an identification number for each energy type, so that it is possible to easily calculate the amount of greenhouse gas emission for each emission source.

[0059] As specific examples of application to plants, the data processing device 10 according to the embodiment can be applied to control systems of steel plants such as hot rolling plants, paper plants, automobile assembly plants, chemical plants, etc. Needless to say, the application of the data processing device 10 is not limited to industrial plants, but can also be applied to public systems such as water supply and sewerage systems.

[0060] In this way, a data processing device capable of grasping the amount of greenhouse gas emissions for each product in a plant can be realized.

[0061] Although some embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be implemented in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope and spirit of the invention, and are included in the scope of the invention and its equivalents described in the claims. [Explanation of symbols]

[0062] 10... data processing device, 20... control device, 30... display device, 101... CPU, 102... memory, 103... storage unit, 104... communication unit, 105... input unit, 106... output unit, 201... time series data acquisition unit, 202... product information acquisition unit, 203... emission intensity acquisition unit, 204... tracking processing unit, 205... energy calculation unit, 207... product-specific activity amount storage unit, 208... data output unit, 209... product-specific emission calculation unit

Claims

1. a time series data acquisition means for acquiring a plurality of control signals from a control device that controls a control system that controls a plant, and generating a plurality of time series data that are time-synchronized; an energy calculation means for calculating a plurality of time series energy data, which are time series data of energy, based on the plurality of time series data; a product information acquiring means for acquiring an identification ID for identifying a product manufactured in the plant from the control device; a tracking processing means for extracting two or more preset tracking data from the plurality of time series data and associating the extracted data with the identification ID to generate two or more tracking information for each product ID; An emission intensity acquisition means having two or more emission intensity units associated with two or more identification numbers set for each energy type; a product-specific activity amount calculation means for calculating two or more activity amounts for each of the product IDs by associating the tracking information with the time-series energy data; A product-specific emission calculation means for calculating two or more emission amounts for each product ID based on the two or more emission unit values ​​and the two or more activity amounts; A storage means for storing the two or more activity amounts and the two or more emissions together with the product ID; Equipped with the energy calculation means associates the plurality of time-series energy data with the two or more identification numbers, The tracking processing means associates the two or more tracking data with the two or more identification numbers, respectively; the product-specific activity amount calculation means calculates the two or more activity amounts based on the two or more time-series energy data and the two or more tracking data, each associated with the two or more identification numbers; The product-specific emission calculation means is a data processing device that calculates the two or more emission amounts based on the two or more emission unit values ​​and the two or more activity amounts that are associated with the two or more identification numbers, respectively.

2. 2. The data processing apparatus according to claim 1, wherein the two or more emission intensity units are identified into at least four emission sources, the four emission sources being electric power, natural gas energy, blast furnace gas energy and steam energy.

3. The product information acquisition means acquires attribute information representing attributes of the product associated with the product ID together with the product ID; 3. The data processing apparatus according to claim 1, wherein the storage means stores the attribute information together with the product ID.

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