A general iems energy device energy efficiency analysis method

Abstract

The application discloses a kind of general IEMS energy equipment energy efficiency analysis method, comprising the following steps: S1. establishing energy equipment object class association model: the energy efficiency of energy equipment is analyzed by core data, and the relevant energy data of energy equipment is directly obtained by associated meter, and is corrected or sunk to meter given according to different equipment types and environment using correction coefficient;S2. establish energy equipment energy efficiency calculation model: the energy equipment energy efficiency calculation model includes physical quantity calculation model and standard coal calculation model;S3. establish energy equipment energy efficiency analysis system function prototype.The application provides a general energy equipment energy efficiency analysis model, helps IEMS to form standardized, productized energy equipment analysis function, satisfies the project demand of customization by configuration, so as to reduce the construction cost of IEMS, promote the popularization of IEMS in the whole society, and help to realize double carbon target.

Description

Technical Field

[0001] This invention belongs to the field of energy management technology, specifically relating to a general IEMS energy equipment energy efficiency analysis method. Background Technology

[0002] The global energy situation is severe, and my country has clear dual-carbon goals. Improving energy quality and efficiency is a key focus of current energy management research in my country. An Integrated Energy Management System (IEMS) is an integrated system that combines various energy sources such as electricity, water, natural gas, heating, cooling, and compressed air, enabling comprehensive analysis and management. It plays a crucial role in refined energy management and energy conservation and emission reduction methods. However, due to the diverse and complex nature of IEMS implementation, and the varying functional requirements across different industries and sectors, IEMS system construction often requires extensive customization for specific projects, with investments ranging from hundreds of thousands to millions or even tens of millions of yuan. Yet, the application results are often unsatisfactory. This low return on investment leads to low IEMS adoption rates, with some existing IEMS systems only reaching primary metering and monitoring levels. Without refined energy monitoring, effective energy management is impossible, and energy conservation and emission reduction cannot be fully implemented.

[0003] The business functions of an IEMS (Industrial Energy Management System) can be broadly categorized into online monitoring, energy statistics, comprehensive analysis, and energy-saving optimization decision-making. For IEMS systems, apart from the energy optimization function which requires design and development tailored to specific scenarios, other functions are essentially independent of industry sectors; core data can be obtained from monitoring data from energy metering devices. If other relevant business factors can be abstracted, integrated, and generalized to establish standardized product functions, and only configured to meet the personalized needs of different sites during project implementation, the investment in IEMS project construction can be significantly reduced. Currently, research on generalized models for IEMS systems is limited.

[0004] Equipment energy efficiency analysis is an advanced application function in IEMS systems, especially for energy equipment. Since its input and output are both energy, and energy data can be directly obtained from IEMS, it has become a common requirement in IEMS systems. However, the methods for calculating energy efficiency differ depending on the type and scenario of the energy equipment. In IEMS implementations, this function is often customized based on different projects, equipment types, and scenarios, and this customization often involves a large workload, resulting in excessively high project investment costs and deterring clients from implementing this function. Therefore, we propose a general method for energy equipment energy efficiency analysis in IEMS. Summary of the Invention

[0005] The purpose of this invention is to provide a universal IEMS energy efficiency analysis method for energy devices to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a general IEMS energy equipment energy efficiency analysis method, comprising the following steps: S1. Establishing an energy equipment object class association model: analyzing the energy efficiency of energy equipment through core data, and directly obtaining relevant energy data of production capacity equipment through associated meters, and using correction coefficients to correct or sink to the meter readings according to different equipment types and environments.

[0007] S2. Establish an energy efficiency calculation model for energy equipment: The energy efficiency calculation model for energy equipment includes a physical quantity calculation model and a standard coal calculation model. The energy efficiency is further analyzed through the physical quantity calculation model and the standard coal calculation model, and an assessment level evaluation is carried out. The energy efficiency evaluation indicators are divided into three levels, namely, level one indicators, level two indicators and level three indicators. Specific indicator values ​​are given for each level of indicators. Only one of the physical quantity and standard coal is selected for calculation according to the actual scenario. One is given for the evaluation. Based on the above analysis, a data structure design is carried out to form an ER entity relationship model for the energy efficiency analysis function of energy equipment.

[0008] S3. Establish a functional prototype of the energy equipment energy efficiency analysis system: The functional prototype of the energy equipment energy efficiency analysis system includes a configuration function model and a business display function model. The configuration function model realizes the general configuration of energy equipment energy efficiency analysis, and the configuration meets the energy efficiency analysis of different types and scenarios of energy equipment. The business display function model displays the analysis results and evaluation status of energy equipment.

[0009] Preferably, the energy device object class association model includes directly associated objects, which include input objects and output objects. The input objects contain one or more energy sources, and the output objects contain only one energy source. For each energy source, in IEMS, it is measured by one or more meters.

[0010] Preferably, the core data includes energy consumption or production data, and the correction coefficients of all meters for the same production capacity equipment and the same type of energy are set to the same value.

[0011] Preferably, the physical quantity calculation model is a model that directly uses the physical quantity of the input energy to calculate energy efficiency when the input energy of the energy device is a single type of energy. The physical quantity calculation model is shown in formula (1):

[0012] in, Indicates the energy efficiency ratio of the physical quantity of energy equipment. Meters that indicate the input energy. This indicates the total number of meters measuring the input energy. Indicates the operating time of energy equipment. Meters that indicate the output energy. The total number of meters measuring output energy. Meters that indicate the input energy exist Energy consumption within a time period This represents the overall correction factor for input energy. Meters that indicate energy output exist Energy production during the time period This represents the overall correction factor for output energy.

[0013] Preferably, the standard coal calculation model is a model used when the input energy of the energy equipment is of multiple types. Since the physical quantity units of different types of energy are different, they cannot be directly accumulated as input accounting. In this case, it is necessary to convert the physical quantity of the input energy into standard coal for energy efficiency accounting. The standard coal calculation model is shown in formula (2):

[0014] in, Indicates the standard coal energy efficiency ratio of energy equipment. Meters that indicate the input energy. This indicates the total number of meters measuring the input energy. Indicates the operating time of energy equipment. Meters that indicate the input energy exist Energy consumption within a time period Indicates measuring instrument The input energy The comprehensive correction factor, Indicates meter Energy type The standard coal equivalent coefficient, Meters that indicate the output energy. The total number of meters measuring output energy. This represents the overall correction factor for output energy. Meters that indicate energy output exist Energy production during a given period of time.

[0015] Preferably, in the physical quantity calculation model and the standard coal calculation model, energy is used. and energy production The values ​​of a and b can be obtained directly from the IEMS measurement and calculation. The comprehensive correction coefficient is composed of one or more correction coefficients, and its value is equal to the product of each correction coefficient. The correction coefficients are given certain default values ​​or reference ranges in advance based on actual experience, and are selected according to different equipment types and different production environments.

[0016] Preferably, the assessment level evaluation is based on physical quantity calculation as an example. This represents the value of the primary indicator. This represents the value of the secondary indicator. The energy efficiency rating calculation formula is as follows: Energy Efficiency Level 1: (This represents the value of a Level 3 indicator.) (3); Energy efficiency level 2: (4); Energy efficiency level three: (5); Energy efficiency rating exceeds standard: (6).

[0017] Preferably, the ER entity relationship model of the energy equipment energy efficiency analysis function includes an energy equipment entity package and a meter entity package. The energy equipment entity package contains core attributes such as: energy equipment type, organizational structure, energy equipment code, energy equipment name, primary indicator, secondary indicator, and tertiary indicator. The meter entity package is the most basic entity of the IEMS system and contains multiple attributes such as code, name, meter type, installation address, manufacturer, and communication type. When establishing a measurement relationship between the meter and the energy equipment, three attributes are added: input / output type, energy type, and correction coefficient.

[0018] Preferably, the configuration parameters in the configuration function model include: energy equipment type, energy equipment / system, input energy type, input meter, input correction coefficient, output energy type, output meter, output correction coefficient, and accounting type.

[0019] Preferably, the parameters in the configuration parameters exist through cascading filtering, and the final data structure saved in the database is: Energy Equipment ID, Energy Type ID, Input / Output Type, Corresponding Correction Coefficient, Meter ID, First-level Indicator, Second-level Indicator, and Third-level Indicator.

[0020] Compared with the prior art, the beneficial effects of the present invention are: (1) The present invention provides a generalized energy equipment energy efficiency analysis model, which helps IEMS to form a standardized and productized energy equipment analysis function. By configuring to meet customized project needs, the construction cost of IEMS is reduced, the popularization of IEMS in the whole society is promoted, and the dual carbon target is achieved.

[0021] (2) The present invention provides an object association model, calculation model and functional model for energy equipment energy efficiency analysis, which can eventually form a generalized standard product functional module. According to the model provided by the present invention, the final product function can be configured to generate energy efficiency analysis of any different types of energy equipment under different production environments. It can not only realize the energy efficiency analysis of physical quantities, but also the energy efficiency analysis of standard coal, thereby realizing the energy efficiency level evaluation of different scenarios. Attached Figure Description

[0022] Figure 1 This is the class association model for energy equipment energy efficiency analysis objects in this invention.

[0023] Figure 2 This invention provides an energy efficiency analysis (ER) entity relationship model for energy equipment.

[0024] Figure 3 This is a schematic diagram of the prototype configuration for energy efficiency analysis of the energy equipment of the present invention.

[0025] Figure 4 This is a schematic diagram of a prototype demonstrating the energy efficiency analysis service of the energy equipment of the present invention.

[0026] Figure 5 This is a block diagram illustrating an example of energy equipment energy efficiency analysis and correlation in this invention. Detailed Implementation

[0027] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0028] Example 1: Please refer to Figures 1-5 This invention provides a technical solution: a general IEMS energy equipment energy efficiency analysis method, including the following steps: S1. Establish an energy equipment object class association model: analyze the energy efficiency of energy equipment through core data, and obtain relevant energy data of production capacity equipment directly through associated meters. Using correction coefficients, corrections are made or the data is assigned to meters according to different equipment types and environments.

[0029] S2. Establish an energy efficiency calculation model for energy equipment: The energy efficiency calculation model for energy equipment includes a physical quantity calculation model and a standard coal calculation model. The energy efficiency is further analyzed through the physical quantity calculation model and the standard coal calculation model, and an assessment level evaluation is carried out. The energy efficiency evaluation indicators are divided into three levels, namely, level one indicators, level two indicators and level three indicators. Specific indicator values ​​are given for each level of indicators. Only one of the physical quantity and standard coal is selected for calculation according to the actual scenario. One is given for the evaluation. Based on the above analysis, a data structure design is carried out to form an ER entity relationship model for the energy efficiency analysis function of energy equipment.

[0030] S3. Establish a functional prototype of the energy equipment energy efficiency analysis system: The functional prototype of the energy equipment energy efficiency analysis system includes a configuration function model and a business display function model. The configuration function model realizes the general configuration of energy equipment energy efficiency analysis, and the configuration meets the energy efficiency analysis of different types and scenarios of energy equipment. The business display function model displays the analysis results and evaluation status of energy equipment.

[0031] In this embodiment, preferably, the energy device object class association model includes directly associated objects, which include input objects and output objects. The input objects contain one or more energy sources, and the output objects contain only one energy source. For each energy source, in IEMS, it is measured by one or more meters.

[0032] In this embodiment, preferably, the core data includes energy consumption or production data, and the correction coefficients of all meters for the same production capacity equipment and the same type of energy are set to be the same.

[0033] In this embodiment, preferably, the physical quantity calculation model is a model that directly uses the physical quantity of the input energy to calculate energy efficiency when the input energy of the energy device is a single type of energy. The physical quantity calculation model is shown in formula (1):

[0034] in, Indicates the energy efficiency ratio of the physical quantity of energy equipment. Meters that indicate the input energy. This indicates the total number of meters measuring the input energy. Indicates the operating time of energy equipment. Meters that indicate the output energy. The total number of meters measuring output energy. Meters that indicate the input energy exist Energy consumption within a time period This represents the overall correction factor for input energy. Meters that indicate energy output exist Energy production during the time period This represents the overall correction factor for output energy.

[0035] In this embodiment, preferably, the standard coal calculation model is a model that is used when the input energy of the energy equipment is of multiple types. Since the physical quantity units of different types of energy are different, they cannot be directly accumulated as input calculation. In this case, it is necessary to convert the physical quantity of the input energy into standard coal for energy efficiency calculation. The standard coal calculation model is shown in formula (2):

[0036] in, Indicates the standard coal energy efficiency ratio of energy equipment. Meters that indicate the input energy. This indicates the total number of meters measuring the input energy. Indicates the operating time of energy equipment. Meters that indicate the input energy exist Energy consumption within a time period Indicates measuring instrument The input energy The comprehensive correction factor, Indicates meter Energy type The standard coal equivalent coefficient, Meters that indicate the output energy. The total number of meters measuring output energy. This represents the overall correction factor for output energy. Meters that indicate energy output exist Energy production during a given period of time.

[0037] In this embodiment, preferably, energy is used in the physical quantity calculation model and the standard coal calculation model. and energy production The values ​​of a and b can be obtained directly from the IEMS measurement and calculation. The comprehensive correction coefficient is composed of one or more correction coefficients, and its value is equal to the product of each correction coefficient. The correction coefficients are given certain default values ​​or reference ranges in advance based on actual experience, and are selected according to different equipment types and different production environments.

[0038] In this embodiment, preferably, the assessment level evaluation is based on physical quantity calculation as an example. This represents the value of the primary indicator. This represents the value of the secondary indicator. The energy efficiency rating calculation formula is as follows: Energy Efficiency Level 1: (This represents the value of a Level 3 indicator.) (3); Energy efficiency level 2: (4); Energy efficiency level three: (5); Energy efficiency rating exceeds standard: (6).

[0039] In this embodiment, preferably, the ER entity relationship model of the energy equipment energy efficiency analysis function includes an energy equipment entity package and a meter entity package. The energy equipment entity includes core attributes such as: energy equipment type, organizational structure, energy equipment code, energy equipment name, primary indicator, secondary indicator, and tertiary indicator. The meter entity package is the most basic entity of the IEMS system and includes multiple attributes such as code, name, meter type, installation address, manufacturer, and communication type. When establishing a measurement relationship with the energy equipment, the meter adds three attributes: input / output type, energy type, and correction coefficient.

[0040] In this embodiment, preferably, the configuration parameters in the configuration function model include: energy device type, energy device / system, input energy type, input meter, input correction coefficient, output energy type, output meter, output correction coefficient, and accounting type.

[0041] In this embodiment, preferably, the parameters in the configuration parameters exist through cascading filtering, and the final data structure saved in the database is: Energy Equipment ID, Energy Type ID, Input / Output Type, Corresponding Correction Coefficient, Meter ID, First-level Indicator, Second-level Indicator, and Third-level Indicator.

[0042] Example 2: For example, in the energy efficiency analysis of an air compressor, the input energy is electricity, and the output energy is compressed air. The input correction factors include the energy efficiency correction factor, the cooling correction factor, and the pressure correction factor. For an electric boiler, the input energy is electricity, and the output energy is steam. The input correction factor is the electricity correction factor, and the output correction factor is the steam correction factor.

[0043] Based on the object class association analysis model, a generalized energy equipment energy efficiency calculation model is established, mainly including two types: physical quantity calculation model and standard coal calculation model. The physical quantity calculation model can be used not only for energy equipment energy efficiency accounting with only a single energy source as input.

[0044] For example, in the energy efficiency analysis of an air compressor, since the input energy is only electricity, it is a single energy source, and a physical quantity calculation model can be used for verification. If the input of the air compressor is measured by an ammeter and the output is measured by a compressed air flow meter, then in formula (1), =1, =1, output correction coefficient b=1, input correction coefficient a= K1* K2* K3.

[0045] Where: K1—energy efficiency correction coefficient, generally K1=1 for fixed reciprocating piston air compressor; K1=0.95 for high-power centrifugal air compressor; K1=0.95 for oil-injected screw air compressor.

[0046] K2—Cooling correction factor: K2=1.03 when using fresh water; K2=1 when using circulating or reused water; K2=1 when using air cooling.

[0047] K3—Pressure correction factor, see the table below.

[0048] Pressure correction factor reference table

[0049] Note: When the actual working pressure is between two given working pressures, the K3 value is determined by interpolation.

[0050] Based on the project site conditions, if K1 = 0.95, K2 = 1.03, and K3 = 0.932, then the input correction coefficient is: A = 0.95 * 1.03 * 0.932 = 0.912.

[0051] In formula (1) and Based on the time period of the energy efficiency analysis, and combined with the specific meter readings extracted from the IEMS system, for example, calculating and analyzing the energy efficiency from 00:00 on August 16, 2023 to 00:00 on August 17, 2023, the power consumption statistics from the input meters extracted from IEMS are 6330 kWh, and the output compressed air production volume statistics are 48471.75 m3. Therefore, the actual quantity energy efficiency ratio of this air compressor is:

[0052] For the energy efficiency calculation of other energy equipment, formula (1) can be used to calculate the energy efficiency, and the corresponding meter usage and correction coefficient can be replaced.

[0053] Standard coal calculation models are generally used for multiple energy inputs. For example, the energy efficiency analysis of industrial boilers focuses on the comparable unit energy consumption of industrial boilers. The input energy sources include coal, fuel oil, fuel gas, and electricity, while the output energy is steam. The coefficients involved include fuel correction coefficient, electricity conversion coefficient, boiler room heating correction coefficient, and boiler capacity correction coefficient. Obviously, formula (2) satisfies its calculation process. Similarly, standard coal calculations can also be performed for a single input energy source.

[0054] Based on the above air compressor example, if we calculate its standard coal energy efficiency, the calculation would be:

[0055] Further analysis of the energy equipment energy efficiency analysis object association model and the energy equipment energy efficiency calculation model can form a generalized system functional model for IEMS, which mainly includes a configuration function model and a business display function model.

[0056] in accordance with Figure 2 The ER entity relationship model and Figure 3 , Figure 4 The functional prototype development only requires two functions: energy equipment efficiency configuration and energy equipment efficiency analysis. For the energy efficiency analysis business display function, the energy equipment type is specified via URL parameters to generate different menu functions.

[0057] It's important to note that during development, relevant data needs to be automatically loaded based on the configuration, and the text descriptions need to be displayed according to the type of energy-producing equipment. When configuring different energy efficiency analysis functions for different energy equipment, the program should load and select the energy equipment type by default, and then set it so that manual selection is not possible.

[0058] The above-mentioned solutions can be configured to provide energy efficiency analysis functions for different energy equipment based on different projects or production environments, enabling energy efficiency analysis of any energy equipment.

[0059] The principle and advantages of this invention: This invention provides a universal energy equipment efficiency analysis model, which helps IEMS to form standardized and productized energy equipment analysis functions. By configuring it to meet customized project needs, it reduces the construction cost of IEMS, promotes the popularization of IEMS throughout society, and helps achieve dual carbon goals.

[0060] This invention provides an object association model, a calculation model, and a functional model for energy equipment energy efficiency analysis, which can ultimately form a generalized standard product functional module. According to the model provided by this invention, the final product function can be configured to generate energy efficiency analysis for any different types of energy equipment under different production environments. It can not only realize energy efficiency analysis of physical quantities, but also energy efficiency analysis of standard coal, thereby enabling energy efficiency level evaluation in different scenarios.

[0061] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A general IEMS energy device energy efficiency analysis method, characterized in that: Includes the following steps: S1. Establish an energy equipment object class association model: Analyze the energy efficiency of energy equipment through core data. Production capacity equipment can directly obtain its relevant energy data through associated meters. Using correction coefficients, the data can be corrected or degraded to the meter readings based on different equipment types and environments. S2. Establish an energy efficiency calculation model for energy equipment: The energy efficiency calculation model for energy equipment includes a physical quantity calculation model and a standard coal calculation model. The energy efficiency is further analyzed through the physical quantity calculation model and the standard coal calculation model, and an assessment level evaluation is carried out. The energy efficiency evaluation indicators are divided into three levels, namely, level one indicators, level two indicators and level three indicators. Specific indicator values ​​are given for each level of indicators. Only one of the physical quantity and standard coal is selected for calculation according to the actual scenario. One is given for the evaluation. Based on the above analysis, a data structure design is carried out to form an ER entity relationship model for the energy efficiency analysis function of energy equipment. S3. Establish a functional prototype of the energy equipment energy efficiency analysis system: The functional prototype of the energy equipment energy efficiency analysis system includes a configuration function model and a business display function model. The configuration function model realizes the general configuration of energy equipment energy efficiency analysis, and the configuration meets the energy efficiency analysis of different types and different scenarios. The business display function model displays the analysis results and evaluation status of energy equipment. The energy device object class association model includes directly associated objects, which include input objects and output objects. The input objects contain one or more energy sources, and the output objects contain only one energy source. For each energy source, in IEMS, it is measured by one or more meters. The physical quantity calculation model is a model for calculating energy efficiency by directly using the physical quantity of the input energy when the input energy of the energy equipment is one kind of energy, and is shown as formula (1): ; in, Indicates the energy efficiency ratio of the physical quantity of energy equipment. Meters that indicate the input energy. This indicates the total number of meters measuring the input energy. Indicates the operating time of energy equipment. Meters that indicate the output energy. The total number of meters measuring output energy. Meters that indicate the input energy exist Energy consumption within a time period This represents the overall correction factor for input energy. Meters that indicate energy output exist Energy production during the time period This represents the overall correction factor for output energy. The standard coal calculation model is used when the input energy of the energy equipment is of various types. Since the physical quantity units of different types of energy are different, they cannot be directly accumulated as input accounting. In this case, it is necessary to convert the physical quantity of the input energy into standard coal for energy efficiency accounting. The standard coal calculation model is shown in formula (2): ; in, Indicates the standard coal energy efficiency ratio of energy equipment. Meters that indicate the input energy. This indicates the total number of meters measuring the input energy. Indicates the operating time of energy equipment. Meters that indicate the input energy exist Energy consumption within a time period Indicates measuring instrument The input energy The comprehensive correction factor, Indicates meter Energy type The standard coal equivalent coefficient, Meters that indicate the output energy. The total number of meters measuring output energy. This represents the overall correction factor for output energy. Meters that indicate energy output exist Energy production during a given period of time.

2. The general IEMS energy efficiency analysis method for energy devices according to claim 1, characterized in that: The core data includes energy consumption or production data, and the correction factor is set to be the same for all meters of the same production capacity equipment and the same type of energy.

3. The general IEMS energy efficiency analysis method for energy devices according to claim 1, characterized in that: In the physical quantity calculation model and the standard coal calculation model, energy is used. and energy production The values ​​of a and b can be obtained directly from the IEMS measurement and calculation. The comprehensive correction coefficient is composed of one or more correction coefficients, and its value is equal to the product of each correction coefficient. The correction coefficients are given certain default values ​​or reference ranges in advance based on actual experience, and are selected according to different equipment types and different production environments.

4. The general IEMS energy efficiency analysis method for energy devices according to claim 3, characterized in that: The assessment and evaluation of performance levels are based on physical quantity calculations as an example. This represents the value of the primary indicator. This represents the value of the secondary indicator. If the value represents a Level 3 indicator, then the formula for calculating the energy efficiency rating is as follows: Energy efficiency level 1: (3) Energy efficiency level 2: (4) Energy efficiency level 3: (5) Energy efficiency rating exceeds standard: (6).

5. The general IEMS energy efficiency analysis method for energy devices according to claim 1, characterized in that: The ER entity relationship model for the energy equipment energy efficiency analysis function includes an energy equipment entity package and a meter entity package. The energy equipment entity package contains core attributes such as: energy equipment type, organizational structure, energy equipment code, energy equipment name, primary indicator, secondary indicator, and tertiary indicator. The meter entity package is the most basic entity of the IEMS system and contains multiple attributes such as code, name, meter type, installation address, manufacturer, and communication type. When establishing a measurement relationship between the meter and the energy equipment, three attributes are added: input / output type, energy type, and correction coefficient.

6. The general IEMS energy efficiency analysis method for energy devices according to claim 1, characterized in that: The configuration parameters in the configuration function model include: energy equipment type, energy equipment / system, input energy type, input meter, input correction coefficient, output energy type, output meter, output correction coefficient, and accounting type.

7. The general IEMS energy efficiency analysis method for energy devices according to claim 6, characterized in that: The parameters in the configuration parameters exist through cascading filtering, and the final data structure saved in the database is as follows: Energy Equipment ID, Energy Type ID, Input / Output Type, Corresponding Correction Coefficient, Meter ID, First-level Indicator, Second-level Indicator, and Third-level Indicator.

Images