A smart energy station energy efficiency analysis system and method

Abstract

The present invention provides a method for analyzing energy efficiency of a smart energy station, receives equipment parameters in the smart energy station, constructs a set of equipment energy efficiency index reference system, calculates energy efficiency indexes, environmental protection indexes and economic indexes of different types of equipment under standard conditions when processing different energy sources; constructs a smart energy station energy efficiency analysis model, performs energy efficiency analysis on the smart energy station based on the equipment energy efficiency index reference system, determines whether the energy station energy efficiency meets the standard, and determines the parameter items that do not meet the standard. The present invention solves the problems in the prior art that the energy supply channels, transportation channels, and use channels are numerous and complicated, making it inconvenient to manage and monitor, the detailed conditions of each device in the energy station are insufficient, and emergencies cannot be solved in time, and the energy efficiency, environmental protection and economy of energy equipment need to be improved.

Description

Technical Field

[0001] The present invention relates to the field of energy management information technology, and in particular to a smart energy station energy efficiency analysis system and method. Background Art

[0002] With the continuous development of my country's economy and society, energy production and consumption patterns are undergoing major changes. Developing comprehensive energy services that meet diversified energy production and consumption needs has become an inevitable trend in energy development. Smart energy is a technology that integrates the traditional energy industry with Internet technology. It breaks the traditional model of separate planning, design, and operation of different energy types, and provides regional integrated energy solutions. It has the advantages of high energy comprehensive utilization efficiency, the ability to promote local consumption of renewable energy, and meet diverse energy needs.

[0003] my country's patent application number: CN202011525148, publication date: 2021.04.16, discloses a smart energy energy-saving method and system, including a main controller and a sub-controller, the main controller includes multiple sub-controllers, the sub-controllers are respectively connected to the data collector, the power control center, the control module, the information collection module, the communication module, the data storage module, the monitoring module, the information security module and the energy equipment, the data collector, the power control center, the information collection module, the monitoring module, the information security module, the energy efficiency analysis module, the diagnosis module, and the data management module are all connected to the large screen, and the data management module is electrically connected to the information collection module, the data collector, the data storage module, the energy equipment, the energy efficiency analysis module, and the diagnosis module.

[0004] However, in the process of implementing the technical solution of the invention in the embodiments of the present application, the inventors of the present application found that the above-mentioned technology has at least the following technical problems: since the energy supply channels, transportation channels, and use channels are numerous and complicated, it is inconvenient to manage and difficult to monitor, and the detailed conditions of each equipment in the energy station are insufficient, and emergencies cannot be resolved in time. The energy efficiency, environmental protection and economy of the energy equipment need to be improved. Summary of the invention

[0005] The present invention provides a smart energy station energy efficiency analysis system and method, which solves the problems in the prior art that the energy supply channels, transportation channels, and usage channels are numerous and complicated, making them inconvenient to manage and monitor, and the detailed conditions of each equipment in the energy station are insufficient, and emergencies cannot be solved in time, and the energy efficiency, environmental protection and economy of the energy equipment need to be improved. The present invention realizes energy efficiency analysis of smart energy stations, comprehensively understands the production situation of energy equipment, solves non-compliance problems in time, and ensures the energy efficiency, environmental protection and economy of energy equipment.

[0006] The present invention provides a smart energy station energy efficiency analysis system and method, which specifically include the following technical solutions:

[0007] A smart energy station energy efficiency analysis system includes the following parts:

[0008] Equipment parameter input module, indicator system module, model building module, energy efficiency analysis module and smart energy database;

[0009] The index system module is used to construct a set of equipment energy efficiency index reference system, which characterizes the equipment energy efficiency index of different types of equipment under standard conditions when processing different energy sources. The index system module includes an energy efficiency index unit, an environmental protection index unit and an economic index unit, which are used to calculate energy efficiency index, environmental protection index and economic index respectively. The index system module sends the equipment energy efficiency index to the energy efficiency analysis module and the smart energy database through data connection;

[0010] The model building module is used to build a smart energy station energy efficiency analysis model, and the smart energy station energy efficiency analysis model includes an equipment parameter input layer, an energy efficiency calculation layer, a threshold mechanism layer, a data introduction layer, an analysis layer 1, an analysis layer 2, an analysis layer 3, and an output layer; the model building module sends the smart energy station energy efficiency analysis model to the energy efficiency analysis module and the smart energy database through a data connection;

[0011] The energy efficiency analysis module is used to perform energy efficiency analysis on the smart energy station according to the equipment energy efficiency index reference system, determine whether the energy station energy efficiency meets the standard, and identify the non-compliant items.

[0012] A smart energy station energy efficiency analysis method comprises the following steps:

[0013] S1. Receive equipment parameters in the smart energy station, build a set of equipment energy efficiency index reference system, and calculate the energy efficiency index, environmental protection index and economic index of different types of equipment under standard conditions when processing different energy sources;

[0014] S2. Construct an energy efficiency analysis model for smart energy stations, conduct energy efficiency analysis on smart energy stations based on the equipment energy efficiency index reference system, determine whether the energy efficiency of the energy station meets the standards, and identify the parameters that do not meet the standards.

[0015] Further, the step S1 comprises:

[0016] A set of equipment energy efficiency index reference system is constructed, wherein the equipment energy efficiency index reference system represents the energy efficiency index, environmental protection index and economic index of different types of equipment under standard conditions when processing different energy sources.

[0017] Further, the step S1 comprises:

[0018] Calculate the energy utilization rate under ideal conditions, and calculate the energy efficiency index of the equipment based on the energy utilization rate under ideal conditions, combined with the equipment conversion efficiency and energy quality; calculate the environmental protection index of different equipment producing different energy; construct the objective function and constraints of economic cost.

[0019] Further, the step S2 comprises:

[0020] Construct a smart energy station energy efficiency analysis model, conduct energy efficiency analysis on the smart energy station based on the equipment energy efficiency index reference system, determine whether the energy station energy efficiency meets the standard, and further analyze the non-compliant projects; the smart energy station energy efficiency analysis model includes equipment parameter input layer, energy efficiency calculation layer, threshold mechanism layer, data introduction layer, analysis layer 1, analysis layer 2, analysis layer 3, and output layer.

[0021] Further, the step S2 comprises:

[0022] The device parameter input layer inputs the collected device parameters into the model and performs data preprocessing on the parameters, including data integrity verification, de-identification, de-duplication and other operations;

[0023] The energy efficiency calculation layer calculates the actual energy efficiency of the equipment according to the equipment energy efficiency index reference system, including energy efficiency index, environmental protection index and economic index, and sends the calculated actual energy efficiency of the equipment to the threshold mechanism layer;

[0024] The threshold mechanism layer compares the actual energy efficiency of the equipment with the equipment energy efficiency index reference system. If the actual energy efficiency of the equipment is lower than the energy efficiency index by δ times, where δ is the ratio of the minimum value of the equipment energy efficiency allowed, the equipment energy efficiency is judged to be unqualified, and the unqualified item is notified to the data introduction layer; otherwise, the threshold mechanism layer directly sends a null value to the data introduction layer, and finally the output layer outputs that the energy efficiency meets the standard;

[0025] Data introduction layer: if the energy efficiency of the equipment is unqualified, the data introduction layer directly retrieves the historical data and current equipment parameters related to the unqualified items of the current equipment from the smart energy database 50, including equipment parameters and energy efficiency indicators, and introduces N collected data X = (x(n), y(n), Ind(n)), n∈[1, N], each group of data has M+3+3, including M equipment parameters x(n), energy efficiency index values ​​Ind(n) corresponding to the 3 equipment parameters, and actual energy efficiency values ​​y(n) corresponding to the 3 equipment parameters. The equipment parameters are formed into an M×N dimensional array, and the data introduction layer sends the (M+3+3)×N dimensional array to the analysis layer;

[0026] The first analysis layer performs activation operation on the input data, and the first analysis layer sends the activated array to the second analysis layer;

[0027] The second analysis layer establishes the relationship between N-dimensional arrays, and the second analysis layer sends the calculation results to the third analysis layer;

[0028] The third analysis layer compares the relationship between N-dimensional arrays to find the specific parameters that lead to unqualified energy efficiency. The third analysis layer sends the obtained device parameters that lead to unqualified energy efficiency to the output layer.

[0029] The output layer outputs the device parameters that lead to unqualified energy efficiency.

[0030] The present invention has at least the following technical effects or advantages:

[0031] 1. A set of equipment energy efficiency index reference system is summarized to comprehensively evaluate energy equipment from the aspects of energy efficiency, environmental protection, economy, etc., which can effectively reduce the deviation between equipment parameters and actual operating conditions during the analysis of smart energy stations, so that energy efficiency indicators can better track the optimal state of actual operation, thereby understanding the comprehensive utilization efficiency of smart energy and energy emission indicators, and improving the economy of smart energy stations;

[0032] 2. A smart energy station energy efficiency analysis model has been constructed, which can evaluate the energy efficiency of smart energy stations at different levels through the size of weight values. The evaluation results are simple and accurate, and can effectively quantify the energy efficiency indicators of smart energy stations, providing a reference basis for the scientific evaluation of energy conservation and emission reduction of smart energy stations. The calculation difficulty is low, and it can quickly solve the calculation and correction problems of large amounts of data, timely understand the problems of energy stations and solve them, which is convenient for the management and control of smart energy stations.

[0033] 3. The technical solution of the present invention can effectively solve the problem that the energy supply channels, transportation channels, and usage channels are numerous and complicated, making them inconvenient to manage and difficult to monitor. The detailed conditions of each equipment in the energy station are insufficient, and emergencies cannot be solved in time. The energy efficiency, environmental protection, and economy of the energy equipment need to be improved. In addition, the above-mentioned system or method has undergone a series of effect surveys and has been verified. Ultimately, it can analyze the energy efficiency of the smart energy station, fully understand the production situation of the energy equipment, and solve the problem of non-compliance in time to ensure the energy efficiency, environmental protection, and economy of the energy equipment. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 This is a structural diagram of an energy efficiency analysis system for a smart energy station according to the present invention;

[0035] Figure 2 This is a flow chart of a smart energy station energy efficiency analysis method according to the present invention;

[0036] Figure 3 This is a schematic diagram of the energy efficiency analysis model of the smart energy station described in the present invention. DETAILED DESCRIPTION

[0037] The embodiments of the present application provide a smart energy station energy efficiency analysis system and method to solve the problem in the prior art that the energy supply channels, transportation channels, and usage channels are numerous and complicated, making them inconvenient to manage and difficult to monitor. There is insufficient knowledge of the detailed conditions of each device in the energy station, and emergencies cannot be resolved in a timely manner. The energy efficiency, environmental protection, and economy of the energy equipment need to be improved.

[0038] The technical solution in the embodiment of the present application is to solve the above problems, and the overall idea is as follows:

[0039] A set of equipment energy efficiency index reference system is summarized, and energy equipment is comprehensively evaluated from the aspects of energy efficiency, environmental protection, economy, etc., which can effectively reduce the deviation between equipment parameters and actual operating conditions in the analysis process of smart energy stations, so that energy efficiency indicators can better track the optimal state of actual operation, thereby understanding the comprehensive utilization efficiency of smart energy and energy emission indicators, and improving the economy of smart energy stations; a smart energy station energy efficiency analysis model is constructed, which can evaluate the energy efficiency of smart energy stations at different levels through the size of weight values. The evaluation results are simple and accurate, and the energy efficiency indicators of smart energy stations are effectively quantified, providing a reference basis for the scientific evaluation of energy conservation and emission reduction of smart energy stations. The calculation difficulty is low, and it can quickly solve the calculation and correction problems of large amounts of data, timely understand and solve the problems of energy stations, and facilitate the management and control of smart energy stations.

[0040] In order to better understand the above technical solution, the above technical solution will be described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0041] See attached Figure 1 The energy efficiency analysis system of a smart energy station described in the present invention includes the following parts:

[0042] Equipment parameter input module 10, indicator system module 20, model building module 30, energy efficiency analysis module 40 and smart energy database 50.

[0043] The device parameter input module 10 is used to receive the parameters collected from each device during operation in the smart energy station. The device parameter input module 10 sends the device parameters to the indicator system module 20, the energy efficiency analysis module 40 and the smart energy database 50 through a data connection;

[0044] The index system module 20 is used to construct a set of equipment energy efficiency index reference system, which characterizes the equipment energy efficiency index of different types of equipment under standard conditions when processing different energy sources. The index system module includes an energy efficiency index unit 201, an environmental protection index unit 202 and an economic index unit 203, which are used to calculate energy efficiency index, environmental protection index and economic index respectively. The index system module 20 sends the equipment energy efficiency index to the energy efficiency analysis module 40 and the smart energy database 50 through data connection;

[0045] The model building module 30 is used to build a smart energy station energy efficiency analysis model, which includes an equipment parameter input layer, an energy efficiency calculation layer, a threshold mechanism layer, a data introduction layer, an analysis layer 1, an analysis layer 2, an analysis layer 3, and an output layer. The model building module 30 sends the smart energy station energy efficiency analysis model to the energy efficiency analysis module 40 and the smart energy database 50 through a data connection;

[0046] The energy efficiency analysis module 40 is used to perform energy efficiency analysis on the smart energy station according to the equipment energy efficiency index reference system, determine whether the energy station energy efficiency meets the standard, and determine the items that do not meet the standard;

[0047] The smart energy database 50 is used to store data collected by the smart energy station and calculation results.

[0048] See attached Figure 2 The energy efficiency analysis method of a smart energy station described in the present invention comprises the following steps:

[0049] S1. Receive equipment parameters in the smart energy station, build a set of equipment energy efficiency index reference system, and calculate the energy efficiency index, environmental protection index and economic index of different types of equipment under standard conditions when processing different energy sources;

[0050] S11. The equipment parameter input module 10 receives the parameters collected from each equipment during operation in the smart energy station. The collected equipment parameters include adjustable parameters and process variable parameters. The adjustable parameters are parameters to be optimized. The process variable parameters are equipment energy efficiency information that can be obtained after data processing of the process variable parameters.

[0051] S12. The index system module 20 constructs a set of equipment energy efficiency index reference system, which represents the energy efficiency index, environmental protection index and economic index of different types of equipment under standard conditions when processing different energy sources. The equipment includes all energy processing equipment in the smart energy station, such as gas turbines, steam turbines, boilers, etc.

[0052] S121. The energy efficiency index unit 201 calculates the energy utilization rate η under ideal conditions Q :

[0053]

[0054] Among them, Q w Indicates the energy generated by the complete work done by the energy in the device, Q s1 represents energy consumption, Q s2 represents the energy processing and conversion input, Q s3 represents the output of energy processing and conversion, Q s4 represents the amount of energy recovery, Q s5 Indicates the energy loss of each part, Q c Indicates the amount of various energies generated by the equipment. Based on the energy utilization rate under ideal conditions, combined with the equipment conversion efficiency and energy quality, the energy efficiency index of the equipment is calculated. The energy efficiency index Ind ee The specific calculation formula is:

[0055] Ind ee =η Q ×CE×ln(1+m i )

[0056] Among them, CE represents the equipment conversion efficiency, which is related to the equipment life and equipment health. i is the quality of the i-th energy. The higher the energy quality, the better the energy efficiency.

[0057] S122. The environmental index unit 202 characterizes the environmental index of different energy produced by different equipment according to the proportion of non-environmentally harmful substances in the energy generated by the energy equipment. The environmental index Ind en The specific calculation formula is:

[0058]

[0059] Among them, Q h Indicates the content of environmental harmful substances.

[0060] S123. Economic Indicator Unit 203 Energy stations have multiple economic costs, including: energy purchase costs, equipment maintenance costs, waste disposal costs, etc., to construct the objective function of economic cost Ind ec :

[0061] Ind ec =C b +C m +C d +C e

[0062] Among them, Ind ec represents the economic index, that is, the objective function, C b represents the energy purchase cost, C m represents the equipment maintenance cost, Cd represents the waste disposal cost, C e Represents other costs. The equipment maintenance cost is related to the equipment specifications, and the maintenance time and unit price of different types of equipment are different, which needs to be determined according to the actual situation. During the operation of the energy station, it is necessary to meet the supply and demand balance and ensure that the economic cost is within an affordable range. Therefore, the constraints of the objective function are set up. The specific process is as follows:

[0063]

[0064] WO min ≤WO j ≤WO max

[0065] Ind ec ≥C max

[0066] Among them, WO j represents the output power of the jth device, J is the total amount of equipment in the energy station, TD represents the total load demand, WO min Indicates the lower limit of output power, WO max Indicates the upper limit of output power, C max Represents the economic cost threshold. Based on the constraints, the objective function is solved to obtain the optimal solution of the objective function, thereby calculating the economic index Ind ec The existing technology of the algorithm for optimizing the objective function is relatively mature, such as genetic algorithm, ant colony algorithm, etc.

[0067] The beneficial effect of step S1 is: summarizing a set of equipment energy efficiency index reference systems, comprehensively evaluating energy equipment from the aspects of energy efficiency, environmental protection, and economy, which can effectively reduce the deviation between equipment parameters and actual operating conditions during the analysis of smart energy stations, so that energy efficiency indicators can better track the optimal state of actual operation, thereby understanding the comprehensive utilization efficiency of smart energy and energy emission indicators, and improving the economy of smart energy stations.

[0068] S2. Construct an energy efficiency analysis model for smart energy stations, conduct energy efficiency analysis on smart energy stations based on the equipment energy efficiency index reference system, determine whether the energy efficiency of the energy station meets the standards, and identify the parameters that do not meet the standards.

[0069] The model building module 30 builds the energy efficiency analysis model of the smart energy station. The energy efficiency analysis module 40 performs energy efficiency analysis on the smart energy station based on the equipment energy efficiency index reference system to determine whether the energy station energy efficiency meets the standard. Further analysis is required for non-compliant projects. The energy efficiency analysis model of the smart energy station includes an equipment parameter input layer, an energy efficiency calculation layer, a threshold mechanism layer, a data introduction layer, an analysis layer 1, an analysis layer 2, an analysis layer 3, and an output layer. The specific steps of the energy efficiency analysis model of the smart energy station are as follows:

[0070] The device parameter input layer inputs the collected device parameters into the model and performs data preprocessing on the parameters, including data integrity check, de-identification, de-duplication and other operations. The preprocessing method adopts the existing technology;

[0071] The energy efficiency calculation layer calculates the actual energy efficiency of the equipment according to the equipment energy efficiency index reference system, including energy efficiency index, environmental protection index and economic index, and sends the calculated actual energy efficiency of the equipment to the threshold mechanism layer;

[0072] The threshold mechanism layer compares the actual energy efficiency of the equipment with the equipment energy efficiency index reference system. If the actual energy efficiency of the equipment is lower than the energy efficiency index by δ times, where δ is the ratio of the minimum value of the energy efficiency of the equipment allowed, the equipment energy efficiency is judged to be unqualified, and the unqualified item is notified to the data introduction layer; otherwise, the threshold mechanism layer directly sends a null value to the output layer, and the output layer outputs an energy efficiency compliance indication;

[0073] Data introduction layer: if the energy efficiency of the equipment is unqualified, the data introduction layer directly retrieves the historical data and current equipment parameters related to the unqualified items of the current equipment from the smart energy database 50, including equipment parameters and energy efficiency indicators, and introduces N collected data X = (x(n), y(n), Ind(n)), n∈[1, N], each group of data has M+3+3, including M equipment parameters x(n), energy efficiency index values ​​Ind(n) corresponding to the 3 equipment parameters, and actual energy efficiency values ​​y(n) corresponding to the 3 equipment parameters. The equipment parameters are formed into an M×N dimensional array, and the data introduction layer sends the (M+3+3)×N dimensional array to the analysis layer;

[0074] Analysis layer performs activation operation on input data, and the activation function used is:

[0075]

[0076] The first analysis layer sends the activated array to the second analysis layer;

[0077] Analyze the relationship between the two layers to establish N-dimensional arrays. The specific formula is:

[0078] X(n+1)=f(W in ×x(n+1)+W×Ind(n)+W out×y(n)

[0079] Among them, X(n+1) is the data introduced in the n+1th dimension, f is the relationship function, and W in is the weight value of the historical equipment parameters, Ind(n) is the weight value of the energy efficiency index value, W out is the weight value of the actual energy efficiency value. The second analysis layer sends the calculation results to the third analysis layer;

[0080] The third layer analyzes the relationship between N-dimensional arrays to find the specific parameters that lead to unqualified energy efficiency:

[0081]

[0082] in, Represents the derivative of the relationship function of the n+1th dimension data and the relationship function of the nth dimension data with respect to the device parameters, The data indicating the largest difference between the device parameter of the n+1th dimension and the device parameter of the nth dimension. The third analysis layer sends the obtained device parameters that lead to unqualified energy efficiency to the output layer;

[0083] The output layer outputs the equipment parameters that lead to unqualified energy efficiency, and regulates the equipment operation according to the unqualified equipment parameters.

[0084] The present invention does not limit the energy type in the smart energy station, which can be traditional thermal power, clean energy power generation, or multiple energy types such as hydrogen and natural gas.

[0085] The beneficial effects of step S2 are as follows: a smart energy station energy efficiency analysis model is constructed, and the energy efficiency of the smart energy station can be evaluated at different levels through the size of the weight value. The evaluation result is simple and accurate, and the energy efficiency index of the smart energy station is effectively quantified, providing a reference basis for the scientific evaluation of energy conservation and emission reduction of the smart energy station. The calculation difficulty is low, and the calculation and correction problems of large amounts of data can be quickly solved, and the problems of the energy station can be understood and solved in time, which is convenient for the management and control of the smart energy station.

[0086] In summary, the smart energy station energy efficiency analysis system and method described in the present invention are completed.

[0087] Effect research:

[0088] The technical solution of the present invention can effectively solve the problem that the energy supply channels, transportation channels, and usage channels are numerous and complicated, making them inconvenient to manage and difficult to monitor. The detailed conditions of each equipment in the energy station are insufficient, and emergencies cannot be solved in time. The energy efficiency, environmental protection, and economy of the energy equipment need to be improved. In addition, the above-mentioned system or method has undergone a series of effect surveys and has been verified. Ultimately, it can analyze the energy efficiency of the smart energy station, fully understand the production situation of the energy equipment, and solve the problems of non-compliance in time, thereby ensuring the energy efficiency, environmental protection, and economy of the energy equipment.

[0089] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0090] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0091] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0092] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A smart energy station energy efficiency analysis system, characterized in that: Includes the following sections: Equipment parameter input module, indicator system module, model building module, energy efficiency analysis module and smart energy database; The index system module is used to construct a set of equipment energy efficiency index reference system, which characterizes the equipment energy efficiency index of different types of equipment under standard conditions when processing different energy sources. The index system module includes an energy efficiency index unit, an environmental protection index unit and an economic index unit, which are used to calculate energy efficiency index, environmental protection index and economic index respectively. The index system module sends the equipment energy efficiency index to the energy efficiency analysis module and the smart energy database through data connection; The model building module is used to build a smart energy station energy efficiency analysis model, which includes an equipment parameter input layer, an energy efficiency calculation layer, a threshold mechanism layer, a data introduction layer, an analysis layer 1, an analysis layer 2, an analysis layer 3, and an output layer; The device parameter input layer inputs the collected device parameters into the model and performs data preprocessing on the parameters, including data integrity verification, de-noising, and de-duplication operations; The energy efficiency calculation layer calculates the actual energy efficiency of the equipment according to the equipment energy efficiency index reference system, including energy efficiency index, environmental protection index and economic index, and sends the calculated actual energy efficiency of the equipment to the threshold mechanism layer; The threshold mechanism layer compares the actual energy efficiency of the equipment according to the equipment energy efficiency index reference system. If the actual energy efficiency is lower than the energy efficiency index times, which is the ratio of the minimum value of the energy efficiency of the equipment allowed, the equipment energy efficiency is judged to be unqualified, and the unqualified items are notified to the data introduction layer; Otherwise, the threshold mechanism layer directly sends a null value to the data introduction layer, and finally the output layer outputs the energy efficiency standard; Data introduction layer: if the energy efficiency of the equipment is unqualified, the data introduction layer directly retrieves the historical data and current equipment parameters related to the unqualified items of the current equipment from the smart energy database 50, including equipment parameters and energy efficiency indicators, and introduces N collected data X = (x(n), y(n), Ind(n)), n∈[1, N], each group of data has M+3+3, including M equipment parameters x(n), energy efficiency index values ​​Ind(n) corresponding to the 3 equipment parameters, and actual energy efficiency values ​​y(n) corresponding to the 3 equipment parameters. The equipment parameters are formed into an M×N dimensional array, and the data introduction layer sends the (M+3+3)×N dimensional array to the analysis layer; The first analysis layer performs activation operation on the input data, and the first analysis layer sends the activated array to the second analysis layer; The second analysis layer establishes the relationship between N-dimensional arrays, and the second analysis layer sends the calculation results to the third analysis layer; The third analysis layer compares the relationship between N-dimensional arrays to find the specific parameters that lead to unqualified energy efficiency. The third analysis layer sends the obtained device parameters that lead to unqualified energy efficiency to the output layer. The output layer outputs the device parameters that lead to unqualified energy efficiency; The model building module sends the smart energy station energy efficiency analysis model to the energy efficiency analysis module and the smart energy database through data connection; The energy efficiency analysis module is used to perform energy efficiency analysis on the smart energy station according to the equipment energy efficiency index reference system, determine whether the energy station energy efficiency meets the standard, and identify the non-compliant items.

2. A smart energy station energy efficiency analysis method, applied to a smart energy station energy efficiency analysis system according to claim 1, characterized in that: The following steps are involved: S1. Receive equipment parameters in the smart energy station, build a set of equipment energy efficiency index reference system, and calculate the energy efficiency index, environmental protection index and economic index of different types of equipment under standard conditions when processing different energy sources; S2. Construct a smart energy station energy efficiency analysis model, perform energy efficiency analysis on the smart energy station based on the equipment energy efficiency index reference system, determine whether the energy station energy efficiency meets the standard, and determine the parameter items that do not meet the standard. For the items that do not meet the standard, further analysis is required; the smart energy station energy efficiency analysis model includes an equipment parameter input layer, an energy efficiency calculation layer, a threshold mechanism layer, a data introduction layer, an analysis layer 1, an analysis layer 2, an analysis layer 3, and an output layer; The device parameter input layer inputs the collected device parameters into the model and performs data preprocessing on the parameters, including data integrity verification, de-noising, and de-duplication operations; The energy efficiency calculation layer calculates the actual energy efficiency of the equipment according to the equipment energy efficiency index reference system, including energy efficiency index, environmental protection index and economic index, and sends the calculated actual energy efficiency of the equipment to the threshold mechanism layer; The threshold mechanism layer compares the actual energy efficiency of the equipment according to the equipment energy efficiency index reference system. If the actual energy efficiency is lower than the energy efficiency index times, which is the ratio of the minimum value of the energy efficiency of the equipment allowed, the equipment energy efficiency is judged to be unqualified, and the unqualified items are notified to the data introduction layer; Otherwise, the threshold mechanism layer directly sends a null value to the data introduction layer, and finally the output layer outputs the energy efficiency standard; Data introduction layer: if the energy efficiency of the equipment is unqualified, the data introduction layer directly retrieves the historical data and current equipment parameters related to the unqualified items of the current equipment from the smart energy database 50, including equipment parameters and energy efficiency indicators, and introduces N times of collected data X = (x(n), y(n), 1nd(n)), n∈[1, N], each group of data has M+3+3, including M equipment parameters x(n), energy efficiency index values ​​Ind(n) corresponding to the 3 equipment parameters, and actual energy efficiency values ​​y(n) corresponding to the 3 equipment parameters. The equipment parameters are formed into an M×N dimensional array, and the data introduction layer sends the (M+3+3)×N dimensional array to the analysis layer; Analysis layer performs activation operation on input data, and the activation function used is: The first analysis layer sends the activated array to the second analysis layer; Analyze the relationship between the two layers to establish N-dimensional arrays. The specific formula is: X(n+1)=f(W in ×x(n+1)+W×Ind(n)+W out ×y(n)) Among them, X(n+1) is the data introduced in the n+1th dimension; f is the relationship function; W in is the weight value of the historical equipment parameters; Ind(n) is the weight value of the energy efficiency index value; W out is the weight value of the actual energy efficiency value; The second analysis layer sends the calculation results to the third analysis layer; The third layer analyzes the relationship between N-dimensional arrays to find the specific parameters that lead to unqualified energy efficiency: in, It represents the derivative of the relationship function between the n+1th dimension data and the relationship function between the nth dimension data with respect to the device parameter; maxD[x(n+1)-x(n)] represents the data with the largest difference between the n+1th dimension device parameter and the nth dimension device parameter; The third analysis layer sends the obtained equipment parameters that lead to unqualified energy efficiency to the output layer; The output layer outputs the device parameters that lead to unqualified energy efficiency.

3. A smart energy station energy efficiency analysis method as claimed in claim 2, characterized in that: The step S1 comprises: A set of equipment energy efficiency index reference system is constructed, wherein the equipment energy efficiency index reference system represents the energy efficiency index, environmental protection index and economic index of different types of equipment under standard conditions when processing different energy sources.

4. A smart energy station energy efficiency analysis method as claimed in claim 3, characterized in that: The step S1 comprises: Calculate the energy utilization rate under ideal conditions, and calculate the energy efficiency index of the equipment based on the energy utilization rate under ideal conditions, combined with the equipment conversion efficiency and energy quality; calculate the environmental protection index of different equipment producing different energy; construct the objective function and constraints of economic cost.

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