Energy consumption rate monitoring method and apparatus

Abstract

An energy consumption rate monitoring method, which is used for monitoring the energy consumption rate of a factory, wherein the factory comprises a plurality of production lines, each production line comprises a plurality of production sections and a plurality of energy consumption measurement points, the production sections are used for processing workpieces, and the energy consumption measurement points are used for measuring the energy consumption of the corresponding production sections. The energy consumption rate monitoring method comprises: acquiring a historical passage record of a workpiece passing through a production section and historical energy consumption measured data of an energy consumption measurement point (110); calculating historical energy consumption estimated data on the basis of an initial value of an energy consumption influence curve of the workpiece for the energy consumption measurement point, and the historical passage record (120); and calculating the deviation between the historical energy consumption estimated data and the historical energy consumption measured data, fitting the energy consumption influence curve on the basis of the deviation, and monitoring the energy consumption rate of each production section on the basis of the fitting result (130).

Description

Energy consumption rate monitoring method and device Technical Field

[0001] The present invention mainly relates to the field of energy digitization, and in particular to a method and device for monitoring energy consumption rate. Background Art

[0002] In the context of the "dual carbon" initiative, energy conservation and environmental protection have become increasingly important issues for society as a whole. Currently, energy management and monitoring systems are widely used in the industrial sector to collect statistics on energy consumption during production processes. However, current energy management and monitoring systems only have simple statistical functions, providing instantaneous and historical energy consumption for relevant production areas. However, due to differences in production speed and workpiece processing volume, the energy consumption of each work section and component can only be analyzed manually.

[0003] In addition, due to the fluctuating number of workpieces processed simultaneously on the production line, there are often delays in the switching of workpieces between production lines, making it impossible to reasonably measure the energy consumption level of a specific work section or the unit consumption of a workpiece. In addition, when there is a problem with the energy consumption of a certain work section or a certain workpiece, it is impossible to quickly locate the location of the problematic work section or the type of workpiece through existing indicators.

[0004] Summary of the Invention

[0005] In order to solve the above technical problems, the present invention provides a method and device for monitoring energy consumption rate, so as to realize automatic calculation of energy consumption rate, thereby realizing automatic monitoring of energy consumption in production process.

[0006] To achieve the above objectives, the present invention proposes a method for monitoring energy consumption rates, for monitoring the energy consumption rates of a factory, wherein the factory includes multiple production lines, each of which includes multiple work sections and multiple energy consumption measurement points. The work sections are used to process workpieces, and the energy consumption measurement points are used to detect the energy consumption of the corresponding work sections. The energy consumption monitoring method comprises: obtaining historical records of workpieces passing through the work sections and historical energy consumption data measured at the energy consumption measurement points; calculating historical energy consumption estimates based on the initial values ​​of the energy consumption impact curves of the workpieces on the energy consumption measurement points and the historical records; calculating the deviation between the historical energy consumption estimates and the historical energy consumption data, fitting the energy consumption impact curves of the workpieces on the energy consumption measurement points based on the deviation, and monitoring the energy consumption rates of each of the work sections based on the fitting results. To this end, an energy consumption impact curve is fitted based on the historical records of workpieces passing through the work sections. The energy consumption impact curve can reflect the energy consumption levels of the workpieces and work sections, the changing trends of the energy consumption characteristics of the work sections, the operating level of the operators, the maintenance level of the maintenance personnel, etc., thereby achieving automatic calculation of the energy consumption rate and thus achieving automatic monitoring of energy consumption in the production process.

[0007] Optionally, the method further includes obtaining a production plan for the factory and predicting the total energy consumption of the production line based on the production plan and the energy consumption impact curve. To this end, based on the fitted energy consumption impact curve and the production plan, the position of the workpiece on the production line at any moment can be calculated, and the total energy consumption of the production line can be predicted, thereby achieving energy consumption management and optimization.

[0008] Optionally, the method further includes: the deviation includes a positive error and a negative error, and fitting the energy consumption influence curve of the workpiece on the energy consumption measurement point according to the positive error and the negative error. Therefore, the fitting problem is solved by using the positive error and the negative error.

[0009] Optionally, the method further includes: constructing an objective function based on the positive error and the negative error, and solving the minimum value of the objective function using a mixed integer linear optimization solver. The mixed integer linear optimization solver is used to solve the fitting problem using a MILP solver.

[0010] Optionally, the method further comprises: obtaining a historical record of the workpiece passing through the work section and a production plan of the factory from a manufacturing execution system, thereby automatically obtaining the historical record and the factory production plan.

[0011] Optionally, the method further comprises: acquiring historical energy consumption measured data of the energy consumption measuring point from a SCADA system, thereby achieving automatic acquisition of historical energy consumption measured data of the energy consumption measuring point.

[0012] The present invention also proposes an energy consumption rate monitoring device for monitoring the energy consumption rate of a factory, wherein the factory includes multiple production lines, each of which includes multiple work sections and multiple energy consumption measuring points. The work sections are used to process workpieces, and the energy consumption measuring points are used to detect the energy consumption of the corresponding work sections. The energy consumption monitoring device includes: a data acquisition module for acquiring historical passing records of workpieces passing through the work sections and historical energy consumption measured data of the energy consumption measuring points; a calculation module for calculating historical energy consumption estimation data based on the initial value of the energy consumption impact curve and the historical passing records; a fitting module for calculating the deviation between the historical energy consumption estimation data and the historical energy consumption measured data, fitting the energy consumption impact curve based on the deviation, and monitoring the energy consumption rate of each of the work sections based on the fitting results.

[0013] The present invention also provides an electronic device, comprising a processor, a memory, and instructions stored in the memory, wherein the instructions implement the above-mentioned method when executed by the processor.

[0014] The present invention also provides a computer-readable storage medium having computer instructions stored thereon. When the computer instructions are executed, the method described above is executed.

[0015] The present invention also provides a computer program product, comprising a computer program, which implements the above method when executed by a processor. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The following drawings are only intended to illustrate and explain the present invention, and do not limit the scope of the present invention.

[0017] FIG1 is a flow chart of a method for monitoring energy consumption rate according to an embodiment of the present invention;

[0018] FIG2 is a schematic diagram of an energy consumption rate monitoring device according to an embodiment of the present invention;

[0019] FIG3 is a schematic diagram of an electronic device according to an embodiment of the present invention.

[0020] Description of Reference Numerals

[0021] Monitoring method of 100 energy consumption rate

[0022] Steps 110-130

[0023] 200 energy consumption rate monitoring device

[0024] 210 data acquisition module

[0025] 220 computing modules

[0026] 230 fitting module

[0027] 300 electronic equipment

[0028] 310 processor

[0029] 320 memory DETAILED DESCRIPTION

[0030] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, specific embodiments of the present invention are now described with reference to the accompanying drawings.

[0031] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0032] As used in this application and the claims, unless the context clearly indicates otherwise, the words "a," "an," "an," and / or "the" are not intended to refer to the singular but may include the plural. Generally speaking, the terms "comprises" and "include" only indicate the inclusion of the steps and elements specifically identified, and these steps and elements do not constitute an exclusive list. A method or apparatus may also include other steps or elements.

[0033] The present invention proposes a method for monitoring energy consumption rate, which is used to monitor the energy consumption rate of a factory. The factory includes multiple production lines, and the production lines include multiple work sections and multiple energy consumption measuring points. The work sections are used to process workpieces, and the energy consumption measuring points are used to detect the energy consumption of the corresponding work sections. Exemplarily, the factory can be an automobile factory, which includes multiple production lines such as an interior production line, a chassis production line, and a final assembly line. Among them, the interior production line, the chassis production line, and the final assembly production line can each include multiple work sections, and each work section processes the workpiece. The interior production line, the chassis production line, and the final assembly production line also include energy consumption measuring points, which are installed at various positions on the production line to detect the energy consumption of the corresponding work sections.

[0034] FIG1 is a flow chart of a method 100 for monitoring energy consumption rate according to an embodiment of the present invention. As shown in FIG1 , the energy consumption monitoring method 100 includes:

[0035] Step 110 , obtaining the historical passing records of the workpieces passing through the work section and the historical energy consumption measured data of the energy consumption measurement points.

[0036] The historical pass records of the workpiece through the work section can indicate the position of the work section at different times. For example, workpiece A is at the first work section of the interior production line at time T, time T+1, and time T+2, and is at the second work section of the interior production line at time T+3, time T+4, and time T+5. The historical pass records of the workpiece through the work section can be obtained from the Manufacturing Execution System (MES). The MES system is a system for real-time monitoring, tracking, and controlling the production process. The MES system generates a large amount of data during real-time monitoring, tracking, and controlling the production process, including the historical pass records of the workpiece through the work section. By establishing a connection with the MES system, the historical pass records of the workpiece through the work section can be obtained from the MES system according to the communication protocol.

[0037] Energy consumption measurement points can be electricity or gas. Electricity measurement points can be electricity meters, while gas measurement points can be gas meters. Historical energy consumption data from energy measurement points can be obtained from a SCADA system. A SCADA (Supervisory Control and Data Acquisition) system, or supervisory control system, is a computer-based production process control and scheduling automation system that monitors and controls on-site operating equipment, including energy consumption. By establishing a connection with a SCADA system, historical energy consumption data from energy measurement points can be obtained from the SCADA system according to the communication protocol.

[0038] Step 120 : Calculating historical energy consumption estimation data based on the initial value and history of the energy consumption impact curve.

[0039] The horizontal axis of the energy consumption impact curve is time, and the vertical axis is energy consumption. It can reflect the impact amplitude of the change in the energy consumption curve of the measuring point due to the workpiece entering the work section in the time dimension. By initializing the energy consumption impact curve, the initial value of the energy consumption impact curve can be determined.

[0040] When each workpiece enters the work section, a passing point record will be triggered. Based on the historical passing records, the number of workpieces in the work section and their residence time can be calculated. The average residence time of the workpieces in the work section can also be calculated based on the historical passing records.

[0041] Assume that the entry of a workpiece into a process section causes an increase in energy consumption by an amount equal to e. The variation of e over time can be represented by a curve e(t), where t is the time axis starting at the moment of entry. After discretization, this curve is converted into a series, for example, a series of length nt.

[0042] The historical energy consumption estimation data of the energy consumption measurement point can be expressed as the superposition of the energy consumption of all related workpieces.

[0043] Therefore, if the position of the workpiece on the production line at any time is known, the relative time of the entry point relative to the energy consumption measurement point can be calculated, and based on this, the number of workpieces at the same relative time at any time can be counted. By multiplying it with the increase in energy consumption e of the work section and then adding them together, the historical energy consumption estimation data of the energy consumption measurement point can be calculated. The estimated data is a time series and can be expressed as an energy consumption estimation curve.

[0044] According to the initial value and history of the energy consumption impact curve, the historical energy consumption estimation data can be calculated by recording and expressed as follows:

[0045] Among them, i represents the time number, j represents the energy consumption measurement point number, l represents the section number, n t Represents the total time, n ecp Indicates the total number of energy consumption measurement points, nt indicates the number of segments of the energy consumption impact curve e, e j,l It represents the unit energy consumption of the workpiece at the energy consumption measurement point j in the lth section, N i,j represents the number of workpieces in the lth stage at the energy consumption measurement point j at time i, Represents the energy consumption estimation data of energy consumption at energy consumption measurement point j at time i.

[0046] Step 130 , calculating the deviation between the historical energy consumption estimation data and the historical energy consumption actual measurement data, fitting the energy consumption impact curve of the workpiece on the energy consumption measurement point according to the deviation, and monitoring the energy consumption rate of each work section according to the fitting result.

[0047] The deviation between historical energy consumption estimates and measured data is calculated. Based on this deviation, an energy consumption impact curve for each workpiece at each energy measurement point is fitted. This fit yields an energy consumption impact curve for a specific workpiece in a specific work section over a period of time. This energy consumption impact curve can reflect the energy consumption level of that work section, the changing trends in that section's energy consumption characteristics, the performance of operators, and the level of maintenance performed by maintenance personnel. Once the fitted energy consumption impact curve is obtained, the total energy consumption of each workpiece is calculated by summing the energy consumption curves for each work section on a production line. By integrating the energy consumption impact curves for each work section, the energy consumption rate for that work section is calculated, enabling accurate monitoring of the energy consumption rate. By monitoring the energy consumption rate, the workpiece's primary energy consumption areas can be analyzed, and work sections with potential for energy savings can be identified, thereby reducing energy consumption.

[0048] In some embodiments, the method further includes: the deviation includes a positive error and a negative error, and the energy consumption impact curve is fitted according to the positive error and the negative error. Thus, the fitting problem is solved by using the positive error and the negative error.

[0049] In some embodiments, the method further includes: constructing an objective function based on the positive error and the negative error, and solving the minimum value of the objective function using a mixed integer linear optimization (MILP) solver. Thus, the MILP solver is used to solve the fitting problem.

[0050] Calculate the deviation between the historical energy consumption estimation data and the historical energy consumption measured data, and fit the energy consumption impact curve of the workpiece on the energy consumption measurement point according to the deviation, which can be expressed by formula (2):

[0051] Among them, errp i,j Indicates positive error, errn i,j Indicates negative error, Represents the measured data of energy consumption at energy consumption measurement point j at time i.

[0052] The objective function is constructed based on the positive error and negative error, and the minimum value of the objective function is solved using the mixed integer linear optimization solver, which can be expressed by formula (3):

[0053] Where obj represents the objective function. The mixed integer linear optimization solver is used to optimize the problem. When the objective function obj is minimized, a set of energy consumption characteristic curves e is obtained. j,l It can minimize the overall positive and negative errors of the model.

[0054] In some embodiments, the method further includes obtaining a factory production plan and predicting the total energy consumption of the production line based on the production plan and the energy consumption impact curve. The production plan includes workpiece processing plans for the production line and work section. Based on the fitted energy consumption impact curve and the production plan, the position of the workpiece on the production line at any time can be calculated and the total energy consumption of the production line can be predicted, thereby achieving energy consumption management and optimization. The factory production plan can be obtained from the manufacturing execution system.

[0055] An embodiment of the present invention proposes a method for monitoring energy consumption rate, in which an energy consumption impact curve is fitted through the historical records of the workpiece passing through the work section. The energy consumption impact curve can reflect the energy consumption level of the workpiece and the work section, the changing trend of the energy consumption characteristics of the work section, the operating level of the operator, the maintenance level of the maintenance personnel, etc., thereby realizing automatic calculation of the energy consumption rate and thus realizing automatic monitoring of the energy consumption of the production process.

[0056] The present invention also provides an energy consumption rate monitoring device for monitoring the energy consumption rate of a factory. The factory includes multiple production lines, each of which includes multiple work sections and multiple energy consumption measurement points. The work sections are used to process workpieces, and the energy consumption measurement points are used to detect the energy consumption of the corresponding work sections. Figure 2 is a schematic diagram of an energy consumption rate monitoring device 200 according to one embodiment of the present invention. As shown in Figure 2, the energy consumption monitoring device 200 includes:

[0057] The data acquisition module 210 acquires the historical passing records of the workpieces passing through the work section and the historical energy consumption measured data of the energy consumption measurement points;

[0058] The calculation module 220 calculates historical energy consumption estimation data based on the initial value and history of the energy consumption impact curve of the workpiece on the energy consumption measurement point by recording;

[0059] The fitting module 230 calculates the deviation between the historical energy consumption estimation data and the historical energy consumption actual measurement data, fits the energy consumption influence curve of the workpiece on the energy consumption measurement point according to the deviation, and monitors the energy consumption rate of each work section according to the fitting result.

[0060] The present invention also provides an electronic device 300. FIG3 is a schematic diagram of an electronic device 300 according to an embodiment of the present invention. As shown in FIG3 , the electronic device 300 includes a processor 310 and a memory 320. The memory 320 stores instructions, wherein the instructions, when executed by the processor 310, implement the method 100 described above.

[0061] The present invention further provides a computer-readable storage medium having computer instructions stored thereon. When the computer instructions are executed, the method 100 described above is executed.

[0062] The present invention further provides a computer program product, comprising a computer program, which implements the method 100 described above when the computer program is executed by a processor.

[0063] Some aspects of the methods and apparatus of the present invention may be performed entirely by hardware, entirely by software (including firmware, resident software, microcode, etc.), or by a combination of hardware and software. The above hardware or software may be referred to as "data blocks," "modules," "engines," "units," "components," or "systems." The processor may be one or more application-specific integrated circuits (ASICs), digital signal processors (DSPs), digital signal processing devices (DAPDs), programmable logic devices (PLCs), field programmable gate arrays (FPGAs), processors, controllers, microcontrollers, microprocessors, or combinations thereof. In addition, various aspects of the present invention may be embodied as computer products in one or more computer-readable media, the product including computer-readable program code. For example, computer-readable media may include, but are not limited to, magnetic storage devices (e.g., hard disks, floppy disks, tapes, etc.), optical disks (e.g., compact disks (CDs), digital versatile disks (DVDs), etc.), smart cards, and flash memory devices (e.g., cards, sticks, key drives, etc.).

[0064] Flowcharts are used herein to illustrate the operations performed by the methods according to the embodiments of the present application. It should be understood that the preceding operations are not necessarily performed in exact order. Instead, the various steps may be performed in reverse order or simultaneously. Furthermore, other operations may be added to these processes, or one or more operations may be removed from these processes.

[0065] It should be understood that although this specification is described according to various embodiments, not every embodiment contains only one independent technical solution. This narrative method of the specification is only for the sake of clarity. Those skilled in the art should regard the specification as a whole. The technical solutions in each embodiment can also be appropriately combined to form other implementation methods that can be understood by those skilled in the art.

[0066] The above description is only an illustrative embodiment of the present invention and is not intended to limit the scope of the present invention. Any equivalent changes, modifications and combinations made by those skilled in the art without departing from the concept and principle of the present invention shall fall within the scope of protection of the present invention.

[0067] Nouns and pronouns referring to persons in this patent application are not limited to a specific gender.

Claims

1. A method (100) for monitoring energy consumption rate, for monitoring the energy consumption rate of a factory, wherein the factory comprises a plurality of production lines, the production lines comprise a plurality of work sections and a plurality of energy consumption measuring points, the work sections are used for processing workpieces, and the energy consumption measuring points are used for detecting the energy consumption of the corresponding work sections, characterized in that: The energy consumption monitoring method (100) comprises: Obtaining the historical passing records of the workpieces passing through the work section and the historical energy consumption measured data of the energy consumption measuring points (110); Calculating historical energy consumption estimation data (120) based on the initial value of the energy consumption influence curve of the workpiece on the energy consumption measuring point and the history; The deviation between the historical energy consumption estimation data and the historical energy consumption actual measurement data is calculated, and the energy consumption influence curve of the workpiece on the energy consumption measurement point is fitted according to the deviation, and the energy consumption rate of each section is monitored according to the fitting result (130).

2. The method (100) according to claim 1, characterized in that: The method (100) further includes: obtaining a production plan of the factory, and predicting the total energy consumption of the production line according to the production plan and the energy consumption impact curve.

3. The method (100) according to claim 1 or 2, characterized in that: The method (100) further comprises: the deviation comprises a positive error and a negative error, and the energy consumption influence curve of the workpiece on the energy consumption measuring point is fitted according to the positive error and the negative error.

4. The method (100) according to claim 3, characterized in that: The method (100) further includes: constructing an objective function based on the positive error and the negative error, and using a mixed integer linear optimization solver to solve for the minimum value of the objective function.

5. The method (100) according to claim 2, characterized in that: The method (100) further comprises: obtaining a historical record of the workpiece passing through a work section and a production plan of the factory from a manufacturing execution system.

6. The method (100) according to claim 1, characterized in that: The method (100) further comprises: acquiring historical energy consumption measured data of the energy consumption measuring point from a SCADA system.

7. An energy consumption rate monitoring device (200) for monitoring the energy consumption rate of a factory, wherein the factory comprises a plurality of production lines, the production lines comprise a plurality of work sections and a plurality of energy consumption measuring points, the work sections are used for processing workpieces, and the energy consumption measuring points are used for detecting the energy consumption of the corresponding work sections, characterized in that: The energy consumption monitoring device (200) comprises: A data acquisition module (210) acquires the historical passing records of workpieces passing through the work section and the historical energy consumption measured data of the energy consumption measurement points; A calculation module (220) calculates historical energy consumption estimation data according to the initial value of the energy consumption impact curve and the history by recording; The fitting module (230) calculates the deviation between the historical energy consumption estimation data and the historical energy consumption actual measurement data, fits the energy consumption impact curve according to the deviation, and monitors the energy consumption rate of each of the working sections according to the fitting result.

8. An electronic device (300), comprising a processor (310), a memory (320), and instructions stored in the memory (320), wherein the instructions, when executed by the processor (310), implement the method (100) according to any one of claims 1 to 6.

9. A computer-readable storage medium having computer instructions stored thereon, wherein the computer instructions, when executed, execute the method (100) according to any one of claims 1 to 6.

10. A computer program product, characterized in that The method comprises a computer program, which, when executed by a processor, implements the method (100) according to any one of claims 1 to 6.

Images