Energy utilization efficiency evaluation method and device, computer equipment and storage medium

Abstract

The invention relates to the technical field of energy utilization efficiency evaluation. The invention relates to an energy utilization efficiency evaluation method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining the operation information of energy equipment, carrying out the analysis of the operation information of the energy equipment through a trained park energy utilization efficiency evaluation model, and obtaining the park energy utilization efficiency. And calculating the park energy utilization efficiency through a preset formula to obtain an energy utilization efficiency score, and determining an evaluation result of the park energy utilization efficiency according to the energy utilization efficiency score. The method has the effect of improving the accuracy of the energy utilization efficiency evaluation result.

Description

Technical Field

[0001] The present invention relates to the technical field of energy utilization efficiency assessment, and in particular to an energy utilization efficiency assessment method, device, computer equipment and storage medium. Background Art

[0002] In modern industrial parks, the efficiency of energy management directly affects the operating costs and environmental impact of enterprises. With the increasing shortage of energy resources, how to effectively evaluate and improve the energy efficiency of the park has become a key issue. Traditional energy efficiency evaluation methods usually rely on a single data analysis model, which is difficult to fully reflect the complex energy usage situation, resulting in inaccurate evaluation results. Summary of the invention

[0003] In order to improve the accuracy of energy efficiency evaluation results, the present application provides an energy efficiency evaluation method, apparatus, computer equipment and storage medium.

[0004] The above-mentioned invention objective of the present application is achieved through the following technical solutions: An energy utilization efficiency evaluation method, the energy utilization efficiency evaluation method comprising: Obtaining operating information of energy equipment; Using the trained park energy utilization efficiency evaluation model, the operation information of the energy equipment is analyzed to obtain the park energy utilization efficiency; Calculate the energy efficiency of the park by a preset formula to obtain an energy efficiency score; Based on the energy efficiency score, the evaluation result of the energy efficiency of the park is confirmed.

[0005] By adopting the above technical solution, by acquiring the operating information of energy equipment, the actual operating status of each energy equipment can be captured in real time and accurately, thereby improving the timeliness and accuracy of the data; by using the trained park energy utilization efficiency evaluation model to analyze the operating information, it is possible to fully utilize the advantages of historical data and prediction models to accurately evaluate the energy utilization efficiency of the park, thereby improving the reliability of the evaluation results; by calculating the park energy utilization efficiency through a preset formula to obtain an energy utilization efficiency score, it is possible to standardize complex operating data into quantifiable scoring indicators, thereby improving the objectivity and consistency of the scoring results; by confirming the evaluation results of the park energy utilization efficiency based on the energy utilization efficiency score, it is possible to ensure the scientificity and fairness of the evaluation process and results, thereby improving the accuracy and credibility of the overall evaluation.

[0006] In a preferred example, the present application may be further configured as follows: the trained park energy utilization efficiency evaluation model is used to analyze the operation information of the energy equipment to obtain the park energy utilization efficiency, which includes: constructing a preliminary training set based on historical energy consumption information of the energy equipment; Using the preliminary training set to train the energy efficiency evaluation model to generate an initial evaluation model; The initial evaluation model is verified by a cross-validation method, and after successful verification, a trained park energy utilization efficiency evaluation model is obtained.

[0007] By adopting the above technical solution and constructing a preliminary training set based on the historical energy consumption information of the energy equipment, it is possible to ensure the diversity and comprehensiveness of the data required for training the energy utilization efficiency evaluation model, thereby improving the model's adaptability to the energy consumption patterns of different energy equipment. The energy utilization efficiency evaluation model is trained using the preliminary training set to generate an initial evaluation model, which enables the model to fully learn the energy efficiency laws in historical data, thereby improving the accuracy of the model in predicting energy efficiency. The initial evaluation model is verified by a cross-validation method. After successful verification, a trained park energy utilization efficiency evaluation model is obtained, and the model parameters can be optimized through multiple rounds of verification, thereby improving the stability and generalization ability of the model in practical applications.

[0008] In a preferred example, the present application may be further configured as follows: the trained park energy utilization efficiency evaluation model is used to analyze the operation information of the energy equipment to obtain the park energy utilization efficiency, including: Inputting the operation information of the energy equipment into the trained park energy utilization efficiency evaluation model to obtain a model analysis result; The energy utilization efficiency of the park is calculated based on the model analysis results.

[0009] By adopting the above-mentioned technical solution, the operating information of the energy equipment is input into the trained park energy utilization efficiency evaluation model, which can enable the model to use the energy efficiency laws it has learned to accurately analyze the operating status of the current equipment, thereby improving the accuracy of energy efficiency analysis. The park energy utilization efficiency is calculated based on the analysis results of the model, and the analysis results can be converted into quantifiable energy efficiency indicators, thereby improving the efficiency and scientificity of park energy management.

[0010] In a preferred example, the present application may be further configured as follows: the energy utilization efficiency of the park is calculated according to the model analysis result, including: The energy efficiency of the park is obtained by the following formula: Wherein, E is the energy efficiency of the park, and P i is the energy consumption of the i-th energy device, and the η i is the energy utilization efficiency factor, and n is the total number of the energy devices.

[0011] By adopting the above technical solution and calculating the energy utilization efficiency of the park through the formula, the energy consumption of each energy equipment can be effectively quantified and comprehensively analyzed to ensure the comprehensiveness and accuracy of the energy utilization efficiency evaluation, thereby improving the scientificity and reliability of the overall park energy utilization efficiency evaluation results.

[0012] In a preferred example, the present application may be further configured as follows: the energy utilization efficiency of the park is calculated by a preset formula to obtain an energy utilization efficiency score, including: The energy efficiency score is obtained by the following formula: Wherein S is the energy efficiency score, and E i is the energy efficiency of the park for the i-th energy device, and w i is the weight coefficient, the F i is the future energy efficiency prediction factor of the energy equipment, α is the adjustment coefficient, and n is the total number of the energy equipment.

[0013] By adopting the above technical solution and calculating the energy utilization efficiency score through a formula, it is possible to comprehensively consider the historical energy efficiency, future performance and importance of each energy equipment in the park, achieve a comprehensive evaluation of energy utilization efficiency, and thus improve the accuracy of energy management and the pertinence of decision-making.

[0014] In a preferred example, the present application can be further configured as follows: i The determination of α includes: Obtain the historical operation information of the energy equipment, predict the future energy consumption trend of the energy equipment through the time series analysis algorithm, and obtain the future energy efficiency prediction factor F i ; The real-time changes of the overall energy demand of the park and the equipment load are obtained, and the α is dynamically adjusted according to the real-time changes of the overall energy demand of the park and the equipment load.

[0015] By adopting the above technical solution, the historical operation information of the energy equipment is obtained, and the future energy consumption trend of the energy equipment is predicted through the time series analysis algorithm to obtain the future energy efficiency prediction factor F i, it can predict the energy efficiency change trend of the equipment in advance, so as to provide forward-looking guidance for the energy efficiency management of the park; obtain the real-time changes of the overall energy demand of the park and the equipment load, and dynamically adjust the α according to the real-time changes of the overall energy demand of the park and the equipment load, which can flexibly adapt to the fluctuation of the energy consumption demand of the park, thereby improving the dynamic adaptability and accuracy of energy efficiency management.

[0016] In a preferred example, the present application may be further configured as follows: the evaluation result of the energy utilization efficiency of the park is confirmed according to the energy utilization efficiency score, including: Comparing the energy efficiency score with a preset energy efficiency assessment benchmark value to obtain a comparison result; According to the comparison results, with reference to national standards or industry standards, the energy utilization efficiency of the park is rated and the evaluation results of the energy utilization efficiency of the park are confirmed.

[0017] By adopting the above-mentioned technical scheme, the energy utilization efficiency score is compared with the preset energy efficiency assessment benchmark value to obtain a comparison result. The actual level of the park's energy utilization efficiency can be determined through a clear baseline, thereby improving the objectivity and reference of the assessment result; based on the comparison result, the energy utilization efficiency of the park is graded with reference to national standards or industry standards, and it is confirmed that the assessment result of the park's energy utilization efficiency can meet the industry standards.

[0018] The second object of the invention is achieved by the following technical solutions: An energy utilization efficiency evaluation device, the energy utilization efficiency evaluation device comprising: An operation information acquisition module is used to obtain the operation information of energy equipment; An energy efficiency evaluation and analysis module is used to analyze the operation information of the energy equipment using the trained park energy utilization efficiency evaluation model to obtain the park energy utilization efficiency; An energy efficiency score calculation module is used to calculate the energy utilization efficiency of the park through a preset formula to obtain an energy utilization efficiency score; The evaluation result confirmation module is used to confirm the evaluation result of the energy utilization efficiency of the park according to the energy utilization efficiency score.

[0019] By adopting the above technical solution, by acquiring the operating information of energy equipment, the actual operating status of each energy equipment can be captured in real time and accurately, thereby improving the timeliness and accuracy of the data; by using the trained park energy utilization efficiency evaluation model to analyze the operating information, it is possible to fully utilize the advantages of historical data and prediction models to accurately evaluate the energy utilization efficiency of the park, thereby improving the reliability of the evaluation results; by calculating the park energy utilization efficiency through a preset formula to obtain an energy utilization efficiency score, it is possible to standardize complex operating data into quantifiable scoring indicators, thereby improving the objectivity and consistency of the scoring results; by confirming the evaluation results of the park energy utilization efficiency based on the energy utilization efficiency score, it is possible to ensure the scientificity and fairness of the evaluation process and results, thereby improving the accuracy and credibility of the overall evaluation.

[0020] The third objective of the present application is achieved through the following technical solutions: A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above-mentioned energy utilization efficiency evaluation method when executing the computer program.

[0021] The fourth objective of the present application is achieved through the following technical solutions: A computer-readable storage medium stores a computer program, which implements the steps of the above-mentioned energy utilization efficiency evaluation method when executed by a processor.

[0022] In summary, the present application includes at least one of the following beneficial technical effects: 1. By acquiring the operation information of energy equipment, the actual operation status of each energy equipment can be captured in real time and accurately, thereby improving the timeliness and accuracy of the data; by using the trained park energy utilization efficiency evaluation model to analyze the operation information, it is possible to fully utilize the advantages of historical data and prediction models to accurately evaluate the energy utilization efficiency of the park, thereby improving the reliability of the evaluation results; by calculating the energy utilization efficiency of the park through a preset formula to obtain an energy utilization efficiency score, it is possible to standardize complex operation data into quantifiable scoring indicators, thereby improving the objectivity and consistency of the scoring results; by confirming the evaluation results of the park energy utilization efficiency based on the energy utilization efficiency score, it is possible to ensure the scientificity and fairness of the evaluation process and results, thereby improving the accuracy and credibility of the overall evaluation; 2. Obtain the historical operation information of the energy equipment, predict the future energy consumption trend of the energy equipment through the time series analysis algorithm, and obtain the future energy efficiency prediction factor F i, can predict the energy efficiency change trend of the equipment in advance, so as to provide forward-looking guidance for the energy efficiency management of the park; obtain the real-time changes of the overall energy demand of the park and the equipment load, and dynamically adjust the α according to the real-time changes of the overall energy demand of the park and the equipment load, so as to flexibly adapt to the fluctuation of the energy consumption demand of the park, thereby improving the dynamic adaptability and accuracy of energy efficiency management; 3. By calculating the energy utilization efficiency score through a formula, we can comprehensively consider the historical energy efficiency, future performance and importance of each energy equipment in the park, and achieve a comprehensive evaluation of energy utilization efficiency, thereby improving the accuracy of energy management and the pertinence of decision-making. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 is a flow chart of an energy utilization efficiency evaluation method in one embodiment of the present application; Figure 2 This is a flowchart of the implementation before step S20 in the energy utilization efficiency evaluation method in one embodiment of the present application; Figure 3 It is a flowchart for implementing step S20 in the energy utilization efficiency evaluation method in one embodiment of the present application; Figure 4 It is a flowchart for implementing step S202 in the energy utilization efficiency evaluation method in one embodiment of the present application; Figure 5 It is a flowchart for implementing step S30 in the energy utilization efficiency evaluation method in one embodiment of the present application; Figure 6 It is a flowchart for implementing step S301 in the energy utilization efficiency evaluation method in one embodiment of the present application; Figure 7 It is a flowchart for implementing step S40 in the energy utilization efficiency evaluation method in one embodiment of the present application; Figure 8 This is a principle block diagram of a control device for a frequency converter of a wire drawing machine in one embodiment of the present application; Fig. 9 It is a schematic diagram of a device in an embodiment of the present application. DETAILED DESCRIPTION

[0024] The present application is further described in detail below in conjunction with the accompanying drawings.

[0025] In one embodiment, if Figure 1 As shown, the present application discloses a method for evaluating energy utilization efficiency, which specifically includes the following steps: S10: Obtaining operation information of energy equipment.

[0026] In this embodiment, the operation information refers to the working status information of the energy equipment, including the start and stop status of the equipment, energy consumption records, output power, operation time, etc.

[0027] Specifically, the operation information of energy equipment is transmitted to the central information database through the communication network for storage. During the information transmission process, the information will be pre-processed to remove possible interference and errors to ensure the accuracy and completeness of the information.

[0028] It can be understood that the central information database refers to a database used to store energy equipment operation information.

[0029] S20: Analyze the operation information of energy equipment using the trained park energy utilization efficiency evaluation model to obtain the park energy utilization efficiency.

[0030] In this embodiment, the trained park energy utilization efficiency evaluation model is an evaluation tool trained through historical operation information, which is used to analyze the operation information of energy equipment and obtain the energy utilization efficiency of energy equipment. Park energy utilization efficiency refers to the effect of comprehensive energy utilization of all energy equipment in the park within a specific time period.

[0031] Specifically, the acquired energy equipment operation information is input into the trained park energy utilization efficiency evaluation model. The evaluation model processes the input operation information, including operation information cleaning, feature extraction and model calculation, to obtain the energy efficiency performance of each energy equipment. Subsequently, the evaluation model summarizes the energy efficiency results of each energy equipment to form the overall park energy utilization efficiency.

[0032] S30: Calculate the energy utilization efficiency of the park by using a preset formula to obtain an energy utilization efficiency score.

[0033] Specifically, the preset formula is used to calculate the score of the park's energy efficiency. The formula combines the park's energy efficiency with the weight coefficient information of the energy equipment and the future energy efficiency prediction factor F i The energy efficiency contribution of each energy device is weighted averaged through a preset formula to obtain the overall energy efficiency score of the park.

[0034] S40: Confirm the evaluation results of the energy utilization efficiency of the park based on the energy utilization efficiency score.

[0035] In this embodiment, the evaluation result refers to the final evaluation of the energy management level of the park based on the energy utilization efficiency score.

[0036] Specifically, the calculated energy efficiency score is compared with a preset energy efficiency assessment benchmark value, which may be an energy efficiency assessment benchmark value set with reference to national standards or industry standards. By comparing the energy efficiency score with the energy efficiency assessment benchmark value, it can be determined whether the energy efficiency of the park meets the expected standard, and the energy efficiency of the park is graded according to the energy efficiency score, for example, the energy efficiency score is divided into "high efficiency", "good" or "needs improvement" and other grades.

[0037] In one embodiment, if Figure 2 As shown, before step S20, the operation information of energy equipment is analyzed using the trained park energy utilization efficiency evaluation model to obtain the park energy utilization efficiency, which includes: S11: Construct a preliminary training set based on the historical energy consumption information of energy equipment.

[0038] In this embodiment, the preliminary training set refers to a data set constructed from the historical energy consumption information of energy equipment. The historical energy consumption information includes detailed information such as energy consumption records of the equipment in different operating time periods, equipment load conditions, operating environment parameters, etc. In order to construct the preliminary training set, it is first necessary to preprocess these historical energy consumption information, remove noise and outliers, and classify and organize them in chronological order. Then, this information is associated with various parameters of equipment operation to ensure that the preliminary training set can accurately reflect the energy consumption characteristics and operating status of the energy equipment. By processing and integrating these historical energy consumption information, the preliminary training set provides a reliable data basis for subsequent model training.

[0039] Specifically, after the historical energy consumption information is cleaned and classified, it will be organized according to established rules to ensure that each record in the preliminary training set can accurately reflect the energy consumption status of the equipment in a specific time period. Each record includes energy consumption information in multiple dimensions, which are matched and combined according to certain rules to form a structured data set. The data in the preliminary training set will be used to conduct preliminary training of the energy efficiency evaluation model, thereby providing support for the generation of a reliable model. S12: Train the energy efficiency evaluation model using the preliminary training set to generate an initial evaluation model.

[0040] In this embodiment, the initial evaluation model refers to an energy efficiency evaluation model obtained by training using a preliminary training set. During the training process, each record in the preliminary training set is used as the input of the model. The model continuously adjusts its internal parameters by analyzing and learning these data to improve the accuracy of the prediction of energy efficiency. The training process involves multiple iterative steps. Each step calculates the error between the model's prediction results and the actual energy efficiency information, and optimizes the model's parameter settings through error back propagation. Through this series of training steps, the initial evaluation model gradually improves its ability to evaluate energy efficiency, and finally generates a model that can accurately predict the energy efficiency of energy equipment.

[0041] Specifically, the core of model training is to use the data in the preliminary training set to repeatedly adjust the model to reduce the prediction error. In each iteration, the model inputs the energy consumption information of the preliminary training set into the model and calculates the output energy efficiency score. Then, by comparing the score predicted by the model with the actual energy efficiency information, the error is calculated, and the back propagation algorithm is used to adjust the parameters of the model. After multiple rounds of iterative training, the prediction ability of the model is gradually improved, and the initial evaluation model finally generated has a more reliable energy efficiency evaluation capability.

[0042] S13 verifies the initial evaluation model through the cross-validation method. After successful verification, a trained park energy utilization efficiency evaluation model is obtained.

[0043] In this embodiment, cross-validation refers to dividing the preliminary training set into multiple subsets, training and validating the initial evaluation model multiple times to evaluate its generalization ability and prediction accuracy. In each validation process, the initial evaluation model is trained using a portion of the subsets and validated using the remaining subsets to evaluate the performance of the model on different data sets. Through multiple rounds of cross-validation, the overall error of the model is evaluated, and the model parameters are further optimized based on the error results. Finally, when the prediction errors of the model on each subset meet the preset standards, a trained park energy efficiency evaluation model can be obtained.

[0044] Specifically, the cross-validation process involves dividing the preliminary training set into several equal subsets. The model is trained using different subsets in each training session, and the remaining subsets are used to verify the model's prediction effect. Through this cyclical verification method, the model's prediction performance is verified on multiple different data sets. Finally, the overall error of the model is obtained by summarizing and analyzing the results of each verification. If the overall error is within the preset allowable range, the verification is successful and the model is confirmed as a trained energy efficiency evaluation model.

[0045] In one embodiment, if Figure 3As shown, in step S20, the operation information of the energy equipment is analyzed using the trained park energy utilization efficiency evaluation model to obtain the park energy utilization efficiency, including: S201: Input the operation information of the energy equipment into the trained park energy utilization efficiency evaluation model to obtain the model analysis results.

[0046] Specifically, the operating information of energy equipment includes but is not limited to the real-time energy consumption data of the equipment, operating status parameters, environmental conditions and other detailed information. Before this information is input into the trained park energy utilization efficiency assessment model, it needs to be preprocessed to ensure the integrity and accuracy of the data. The preprocessing steps include data cleaning, normalization, and format conversion to ensure that the input data matches the expected input format of the model. During the input process, the model analyzes and processes the input operating information based on the parameters and structure obtained by pre-training. The model generates model analysis results by comparing the input operating information with its internal historical data and known patterns.

[0047] S202: Calculate the energy efficiency of the park based on the model analysis results.

[0048] Specifically, the calculation of the park's energy efficiency is based on a comprehensive analysis of the various evaluation data in the model analysis results. The model analysis results provide information on the energy efficiency performance of energy equipment in the current operating state, including the energy consumption efficiency of the equipment, load conditions, and the impact of operating conditions on energy efficiency. During the calculation process, the various data in the model analysis results are first extracted and calculated according to the preset energy efficiency calculation formula. Through the steps of weighted average and proportional adjustment of various data, the numerical results of the park's energy efficiency are finally obtained.

[0049] In one embodiment, if Figure 4 As shown, in step S202, the energy utilization efficiency of the park is calculated based on the model analysis results, including: S2021: The energy efficiency of the park is obtained through the following formula: Among them, E is the energy efficiency of the park, P i is the energy consumption of the i-th energy device, η i is the energy utilization efficiency factor, and n is the total number of energy equipment.

[0050] Specifically, when calculating the energy efficiency of the park, it is necessary to first collect the energy consumption information P of each energy device. i And the corresponding energy efficiency factor ηi. Energy consumption information P i It refers to the energy consumption of each energy device in a certain period of time, usually obtained through a monitoring system or energy metering equipment. Energy efficiency factor ηi It measures the energy efficiency of each device under specific operating conditions, and is usually calculated based on the device’s design parameters, operating status, and external conditions. i And the efficiency factor ηi is multiplied to calculate P i ×η i , in order to obtain the effective energy consumption contribution value of each device under the current conditions. i ×η i Add them up and calculate the total effective energy consumption contribution of the entire park. Finally, divide the total effective energy consumption contribution by the total energy consumption of all equipment, that is, the total energy consumption In one embodiment, the overall energy efficiency of the park is obtained, such as Figure 5 As shown, in step S30, the energy utilization efficiency of the park is calculated by a preset formula to obtain an energy utilization efficiency score, including: S301: Obtain energy efficiency score using the following formula: Where S is the energy efficiency score, E i is the park energy efficiency of the i-th energy equipment, w i is the weight coefficient, F i is the future energy efficiency prediction factor of energy equipment, α is the adjustment coefficient, and n is the total number of energy equipment.

[0051] Specifically, the calculation process of the energy efficiency score includes multiple steps. First, the energy efficiency of each energy device in the park needs to be calculated. i And the corresponding weight coefficient w i Next, the future energy efficiency prediction factor F of each device is i Multiply by the adjustment coefficient α, and then add the result to 1 to indicate the impact on future energy efficiency. Then, combine the above product with the revised future energy efficiency prediction factor, that is, w i ×E i ×(1+α×F i ). The result represents a weighted score for each energy device taking into account current and future energy efficiency. The scores of all devices are added together and then divided by the sum of all weight coefficients. In order to balance the weights of different devices, a comprehensive energy efficiency score can be obtained through this calculation method.

[0052] In one embodiment, if Figure 6 As shown, in step S301, namely, determining Fi and α, includes: S3011: Obtain the historical operation information of energy equipment, predict the future energy consumption trend of energy equipment through time series analysis algorithm, and obtain the future energy efficiency prediction factor F i .

[0053] Specifically, historical operation information includes energy consumption data, equipment load, and environmental conditions of the equipment in the past time period. These data are analyzed by time series analysis algorithms, such as long short-term memory networks (LSTM), to identify and model trends, seasonality, and cyclical changes in energy consumption. The algorithm can generate a forecast of future energy consumption based on historical data, thereby deriving a future energy efficiency prediction factor F. i , the predictor F i Used to adjust current energy efficiency ratings to reflect future energy efficiency trends.

[0054] S3012: Obtain real-time changes in the overall energy demand and equipment load of the park, and dynamically adjust α according to the real-time changes in the overall energy demand and equipment load of the park.

[0055] Specifically, real-time energy demand information includes the current energy consumption data and load conditions of all equipment in the park, which are provided by the real-time monitoring system. By analyzing these real-time data, the changing trend of the overall energy demand of the park can be evaluated. For example, if the energy demand of the park suddenly increases, or the load of some equipment changes significantly, the adjustment factor α needs to be dynamically adjusted. The adjustment process involves the following steps: First, the real-time data is input into the energy demand analysis model to calculate the impact of current energy demand and load changes on future energy efficiency. Then, the value of α is adjusted according to the analysis results to ensure that the prediction factor F i It can accurately reflect the actual energy usage and expected changes. The adjustment coefficient α is a dynamic parameter, and the α value will change with the real-time changes in energy demand and equipment load, so that the final energy utilization efficiency score can more accurately reflect the actual energy efficiency level of the park.

[0056] In one embodiment, if Figure 7 As shown, in step S40, the evaluation result of the energy utilization efficiency of the park is confirmed according to the energy utilization efficiency score, including: S401: Compare the energy utilization efficiency score with a preset energy efficiency assessment benchmark value to obtain a comparison result.

[0057] In this embodiment, the preset energy efficiency evaluation benchmark value refers to the energy efficiency standard value formulated according to the equipment type, industry standards, and park operating conditions. These benchmark values ​​are set based on historical data analysis, industry regulations, and equipment manufacturer's recommendations, and are used to measure the energy efficiency of equipment or parks. For example, some industries may specify minimum energy efficiency standards, or provide recommended energy efficiency ranges based on equipment performance specifications. The preset energy efficiency evaluation benchmark value may be a specific value or a range used to compare and evaluate the performance of the current energy efficiency score.

[0058] Specifically, the comparison process includes the following steps: First, select appropriate energy efficiency assessment benchmark values ​​based on the type of equipment and the actual operation of the park. Then, compare the calculated energy efficiency score with these benchmark values. If the score exceeds the preset benchmark value, it means that the energy efficiency of the park meets or exceeds the expected level; if the score is lower than the benchmark value, it indicates that there is an energy efficiency problem. Through this comparison, it can be determined whether the energy efficiency of the park has reached the set standard. S402: Based on the comparison results, refer to national standards or industry standards to rank the energy efficiency of the park and confirm the evaluation results of the energy efficiency of the park.

[0059] Specifically, national standards or industry standards refer to energy efficiency assessment standards formulated by relevant national institutions or industry associations. These standards provide a rating framework and specific requirements for energy efficiency, such as the national standard "Energy Efficiency Labeling Management Measures" or the industry standard "Industrial Enterprise Energy Management System Requirements". These standards may include different levels of energy efficiency standards, such as A, B, C, and D, where A indicates excellent energy efficiency and D indicates poor energy efficiency.

[0060] Specifically, based on the comparison results, the energy efficiency score of the park is compared with the energy efficiency level in the national standard or industry standard. Through the comparison, the energy efficiency level of the park is confirmed. For example, if the energy efficiency score of the park meets or exceeds the A-level requirements in the standard, it is confirmed as A-level; if it is lower than the C-level requirements in the standard, it is confirmed as C-level or lower. Through this assessment, the energy efficiency performance of the park can be determined.

[0061] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present application.

[0062] In one embodiment, an energy utilization efficiency evaluation device is provided, and the energy utilization efficiency evaluation device corresponds one-to-one to the energy utilization efficiency evaluation method in the above embodiment. Figure 8As shown, the energy utilization efficiency evaluation device includes an operation information acquisition module, an energy efficiency evaluation and analysis module, an energy efficiency score calculation module and an evaluation result confirmation module. The functional modules are described in detail as follows: An operation information acquisition module is used to obtain the operation information of energy equipment; The energy efficiency evaluation and analysis module is used to analyze the operation information of energy equipment using the trained park energy utilization efficiency evaluation model to obtain the park energy utilization efficiency; The energy efficiency score calculation module is used to calculate the energy utilization efficiency of the park through a preset formula to obtain an energy utilization efficiency score; The evaluation result confirmation module is used to confirm the evaluation result of the energy utilization efficiency of the park based on the energy utilization efficiency score.

[0063] Optionally, the energy efficiency assessment analysis module includes: A historical information acquisition module is used to construct a preliminary training set based on the historical energy consumption information of energy equipment; The training module is used to train the energy utilization efficiency evaluation model using the preliminary training set to generate an initial evaluation model; the model training completion module is used to verify the initial evaluation model through the cross-validation method. After successful verification, a trained park energy utilization efficiency evaluation model is obtained.

[0064] Optional energy efficiency assessment and analysis modules include: The model analysis result submodule is used to input the operation information of energy equipment into the trained park energy utilization efficiency evaluation model to obtain the model analysis results; The park energy utilization efficiency submodule is used to calculate the park energy utilization efficiency based on the model analysis results.

[0065] Optional, the park energy efficiency submodule includes: The formula application submodule is used to obtain the energy utilization efficiency of the park through the following formula: Among them, E is the energy efficiency of the park, P i is the energy consumption of the i-th energy device, η i is the energy utilization efficiency factor, and n is the total number of energy equipment.

[0066] Optional energy efficiency score calculation module includes: The scoring formula submodule is optional and uses the following formula to obtain the energy efficiency score: Where S is the energy efficiency score, E i is the park energy efficiency of the i-th energy equipment, w i is the weight coefficient, F iis the future energy efficiency prediction factor of energy equipment, α is the adjustment coefficient, and n is the total number of energy equipment.

[0067] Optionally, the scoring formula submodule includes: The prediction factor unit is used to obtain the historical operation information of the energy equipment, predict the future energy consumption trend of the energy equipment through the time series analysis algorithm, and obtain the future energy efficiency prediction factor Fi; The adjustment coefficient unit is used to obtain the real-time changes of the overall energy demand and equipment load of the park, and dynamically adjust α according to the real-time changes of the overall energy demand and equipment load of the park.

[0068] Optionally, the assessment result confirmation module includes: The comparison result submodule is used to compare the energy utilization efficiency score with the preset energy efficiency assessment benchmark value to obtain the comparison result; The assessment module is used to assess the energy efficiency of the park based on the comparison results and with reference to national standards or industry standards, and to confirm the assessment results of the energy efficiency of the park.

[0069] For the specific definition of the energy utilization efficiency evaluation device, please refer to the definition of the energy utilization efficiency evaluation method above, which will not be repeated here. Each module in the above energy utilization efficiency evaluation device can be implemented in whole or in part by software, hardware and a combination thereof. The above modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the operations corresponding to the above modules.

[0070] In one embodiment, a computer device is provided. The computer device may be a server, and its internal structure diagram may be as follows: Fig. 9 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used for a central information database. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, an energy utilization efficiency evaluation method is implemented.

[0071] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program: Obtaining operating information of energy equipment; Using the trained park energy efficiency evaluation model, the operation information of energy equipment is analyzed to obtain the park energy efficiency; The energy efficiency of the park is calculated through a preset formula to obtain an energy efficiency score; Based on the energy efficiency score, confirm the assessment results of the park’s energy efficiency.

[0072] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented: Obtaining operating information of energy equipment; Using the trained park energy efficiency evaluation model, the operation information of energy equipment is analyzed to obtain the park energy efficiency; The energy efficiency of the park is calculated through a preset formula to obtain an energy efficiency score; Based on the energy efficiency score, confirm the assessment results of the park’s energy efficiency.

[0073] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0074] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0075] The embodiments described above are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, a person skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for evaluating energy utilization efficiency, characterized in that: The energy efficiency evaluation method comprises: Obtaining operating information of energy equipment; Using the trained park energy utilization efficiency evaluation model, the operation information of the energy equipment is analyzed to obtain the park energy utilization efficiency; Calculate the energy efficiency of the park using a preset formula to obtain an energy efficiency score; Based on the energy efficiency score, the evaluation result of the energy efficiency of the park is confirmed.

2. The energy efficiency evaluation method according to claim 1, characterized in that: The trained park energy utilization efficiency evaluation model is used to analyze the operation information of the energy equipment to obtain the park energy utilization efficiency, which includes: constructing a preliminary training set based on historical energy consumption information of the energy equipment; Using the preliminary training set to train the energy efficiency evaluation model to generate an initial evaluation model; The initial evaluation model is verified by a cross-validation method, and after successful verification, a trained park energy utilization efficiency evaluation model is obtained.

3. The energy efficiency evaluation method according to claim 1, characterized in that: The method of using the trained park energy utilization efficiency evaluation model to analyze the operation information of the energy equipment to obtain the park energy utilization efficiency includes: Inputting the operation information of the energy equipment into the trained park energy utilization efficiency evaluation model to obtain a model analysis result; The energy utilization efficiency of the park is calculated based on the model analysis results.

4. The energy efficiency evaluation method according to claim 3, characterized in that: The calculating the park energy efficiency according to the model analysis result includes: The energy efficiency of the park is obtained by the following formula: Wherein, E is the energy efficiency of the park, and P i is the energy consumption of the i-th energy device, and the η i is the energy utilization efficiency factor, and n is the total number of the energy devices.

5. The energy efficiency evaluation method according to claim 1, characterized in that: The energy utilization efficiency of the park is calculated by a preset formula to obtain an energy utilization efficiency score, including: The energy efficiency score is obtained by the following formula: Wherein S is the energy efficiency score, and E i is the energy efficiency of the park for the i-th energy device, and w i is the weight coefficient, the F i is the future energy efficiency prediction factor of the energy equipment, α is the adjustment coefficient, and n is the total number of the energy equipment.

6. The energy efficiency evaluation method according to claim 5, characterized in that: The F i The determination of α includes: obtaining the historical operation information of the energy equipment, predicting the future energy consumption trend of the energy equipment through the time series analysis algorithm, and obtaining the future energy efficiency prediction factor F i ; The real-time changes of the overall energy demand of the park and the equipment load are obtained, and the α is dynamically adjusted according to the real-time changes of the overall energy demand of the park and the equipment load.

7. The energy efficiency evaluation method according to claim 1, characterized in that: The evaluation result of the energy utilization efficiency of the park is confirmed according to the energy utilization efficiency score, including: Comparing the energy efficiency score with a preset energy efficiency assessment benchmark value to obtain a comparison result; According to the comparison results, with reference to national standards or industry standards, the energy utilization efficiency of the park is rated and the evaluation results of the energy utilization efficiency of the park are confirmed.

8. An energy utilization efficiency evaluation device, characterized in that: The energy utilization efficiency evaluation device comprises: An operation information acquisition module is used to obtain the operation information of energy equipment; An energy efficiency evaluation and analysis module is used to analyze the operation information of the energy equipment using the trained park energy utilization efficiency evaluation model to obtain the park energy utilization efficiency; An energy efficiency score calculation module is used to calculate the energy utilization efficiency of the park through a preset formula to obtain an energy utilization efficiency score; The evaluation result confirmation module is used to confirm the evaluation result of the energy utilization efficiency of the park according to the energy utilization efficiency score.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the energy utilization efficiency evaluation method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the energy utilization efficiency evaluation method according to any one of claims 1 to 7 are implemented.

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