Energy storage power station safety risk assessment method based on analytic hierarchy process

Abstract

The invention discloses an energy storage power station safety risk assessment method based on analytic hierarchy process. The method comprises the following steps: step 1) collecting monitoring video data and equipment layout information of an energy storage power station and meteorological data of a corresponding region; 2) establishing an energy storage power station representative model for evaluating the appearance and mechanics of the equipment; obtaining an appearance evaluation result and a mechanical evaluation result according to the energy storage power station representative model; 3) collecting historical performance data of the energy storage equipment, performing performance change prediction analysis in combination with the meteorological data and the historical performance data, and performing risk performance evaluation according to a performance change trend obtained by prediction; 4) establishing a risk assessment system, and performing weight analysis of risk indexes according to network related data in combination with the energy storage power station needing to be assessed; and step 5) inputting the appearance evaluation result, the mechanical evaluation result and the performance evaluation result into a risk evaluation system, and carrying out risk early warning reminding. The method has the beneficial effects that a worker can know the risk level of the energy storage power station in time, takes corresponding measures to carry out risk control, and guarantees the safe operation of the energy storage power station.

Description

Technical Field

[0001] The present invention relates to the technical field of safety risk assessment of energy storage power stations, and in particular to a safety risk assessment method of energy storage power stations based on hierarchical analysis. Background Art

[0002] Energy storage power stations play an important role in the energy field. They can store and regulate electricity, improve energy utilization efficiency, and ensure the stable operation of the power system. In terms of safety risk assessment of energy storage power stations, the status and risks of equipment are mainly assessed through monitoring of equipment operating parameters, regular inspections, and simple data analysis.

[0003] At present, the safety risk assessment of energy storage power stations mainly relies on a single type of data, such as equipment operating parameters or inspection results, and lacks the comprehensive use of multi-source data. This makes the assessment results not comprehensive and accurate enough, and may miss some potential risk factors. At the same time, the early warning mechanism is not sensitive enough, and often only issues an alarm when the equipment has obvious faults, and it is impossible to predict potential risks in advance. This makes it more passive when dealing with equipment failures, which may cause equipment damage to increase, increase maintenance costs, and even affect the stable operation of the power system. Secondly, for different types of energy storage power stations and equipment, the existing technology lacks targeted assessment methods. Different energy storage power stations differ in equipment type, operating environment, etc., and the general assessment method may not accurately reflect the risk status of a specific power station. Therefore, a safety risk assessment method for energy storage power stations based on hierarchical analysis is proposed. Summary of the invention

[0004] The present invention aims to overcome the deficiencies of the above-mentioned prior art and provides a method for safety risk assessment of energy storage power stations based on hierarchical analysis, which is specifically implemented by the following technical solutions:

[0005] The energy storage power station safety risk assessment method based on hierarchical analysis includes the following steps:

[0006] Step 1) Collect monitoring video data of the energy storage power station, equipment layout information and meteorological data of the corresponding area;

[0007] Step 2) establishing a three-dimensional model of the energy storage power station based on the monitoring video data and the equipment layout information; establishing a mechanical model of the energy storage equipment, combining the mechanical model with the three-dimensional model to form a representative model of the energy storage power station for evaluating the appearance and mechanical properties of the equipment; and obtaining appearance evaluation results and mechanical evaluation results based on the representative model of the energy storage power station;

[0008] Step 3) Collect historical performance data of energy storage equipment, combine meteorological data and historical performance data to perform performance change forecast analysis, and perform risk performance assessment based on the predicted performance change trend;

[0009] Step 4) Perform risk indicator analysis based on the energy storage representative model, summarize the acquired risk indicators, and establish a risk assessment system. Meanwhile, collect network data related to the energy storage power station, and then perform risk indicator weight analysis based on the network-related data combined with the energy storage power station to be assessed;

[0010] Step 5) Input the appearance evaluation results, mechanical evaluation results and performance evaluation results into the risk assessment system for risk warning reminders.

[0011] A further design of the energy storage power station safety risk assessment method based on hierarchical analysis is that in the step 1), a data unit is established at the control end of the energy storage unit, and a data transmission connection is established between the data unit and the control end of the energy storage power station, so that monitoring video data of the energy storage power station is collected at the control end and equipment layout information of the energy storage power station is extracted.

[0012] A further design of the energy storage power station safety risk assessment method based on hierarchical analysis is that in step 1), a data transmission connection is established with a meteorological publishing network, and corresponding meteorological data is extracted from the meteorological publishing network according to the geographical location of the energy storage power station.

[0013] A further design of the energy storage power station safety risk assessment method based on hierarchical analysis is that in the step 2), appearance features of the energy storage equipment are extracted from the video monitoring data, and the extracted appearance features are input into the three-dimensional model to supplement the model details.

[0014] A further design of the energy storage power station safety risk assessment method based on hierarchical analysis is that the establishment of the mechanical model of the energy storage device in step 2) is specifically: extracting the mechanical performance parameters of the energy storage device from the equipment layout information, and then establishing the mechanical model of the energy storage device through the mechanical performance parameters.

[0015] A further design of the energy storage power station safety risk assessment method based on hierarchical analysis is that the process of obtaining the appearance assessment results and the mechanical assessment results in step 2) is: obtaining the product model of the energy storage equipment, obtaining the standard energy storage equipment according to the product model, combining the standard energy storage equipment with the representative model of the energy storage power station to perform appearance assessment and mechanical assessment on the energy storage equipment of the energy storage power station, and obtaining the appearance assessment results and the mechanical assessment results according to a preset judgment formula.

[0016] The further design of the energy storage power station safety risk assessment method based on hierarchical analysis is to obtain the appearance assessment result according to the judgment formula (1),

[0017]

[0018] Among them, for the actual energy storage device and the standard energy storage device, n is the number of characteristic points, and the value of the i-th characteristic point of the actual device is Pi , the value of the i-th characteristic point of the standard equipment is Q i , S is the appearance similarity;

[0019] According to the judgment formula (2), the mechanical evaluation results are obtained.

[0020] n=σ allowable / σ actual (2)

[0021] In formula (2), n is the safety factor, σ allowable is the allowable stress of standard equipment, σ actual It is the stress obtained by analyzing the actual equipment in combination with the representative model.

[0022] The further design of the energy storage power station safety risk assessment method based on hierarchical analysis is that in step 3), performance change prediction analysis is performed according to formula (3).

[0023] y=a0+a1X1+a2x2+…+a n x n

[0024]

[0025] In formula (3), y is the performance index, x1, x2, ..., x n For multiple meteorological factors, the coefficients a0, a1, ..., a are determined by using the least squares method based on historical data. n ;y new To predict performance indicators, is the new meteorological data vector;

[0026] According to formula (4), risk performance evaluation is performed.

[0027] R total =w1|Δy1|+w2|Δy2|+…+w m |Δy m | (4)

[0028] In formula (4), Δy1, Δy2, ..., Δym are the changes of multiple performance indicators, and the weight corresponding to each indicator is w1, w2, ..., w m , the performance risk assessment value is R total .

[0029] The further design of the energy storage power station safety risk assessment method based on hierarchical analysis is that the step 4) specifically includes:

[0030] Step 4-1) Perform risk index analysis on the energy storage representative model in combination with appearance evaluation, mechanical evaluation and performance evaluation, select and summarize risk indicators related to the energy storage power station during the appearance evaluation, mechanical evaluation and performance evaluation process, and establish a risk assessment system;

[0031] Step 4-2) Collect network data related to energy storage power station risks on the Internet, and perform energy storage power station similarity analysis on the network data based on the energy storage power station information to be evaluated, and set weights for risk indicators in the risk assessment system based on the analysis results.

[0032] The further design of the energy storage power station safety risk assessment method based on hierarchical analysis is that the step 5) specifically includes:

[0033] Step 5-1) Set different risk level thresholds according to the assessment value range of the risk assessment system;

[0034] Step 5-2) Input the appearance assessment results, mechanical assessment results and performance assessment results into the risk assessment system, so as to output the risk assessment value of the energy storage power station through the risk assessment system, and then issue risk warning reminders based on the risk level threshold and the risk assessment value.

[0035] The advantages of the present invention are as follows:

[0036] 1. In the safety risk assessment method of energy storage power stations based on hierarchical analysis, by extracting the appearance features of the equipment and inputting them into the three-dimensional model for detailed supplementation, the appearance condition of the equipment can be evaluated more accurately, and the impact of appearance damage on the safety performance of the equipment can be discovered in time. By accurately evaluating the wind load on the equipment according to the mechanical model, early warning of the risk of equipment damage caused by excessive wind force can be issued. According to the performance evaluation results, when it is found that the rate of decrease in the charging and discharging efficiency of the equipment exceeds a certain threshold, an early warning can be issued in time to remind the staff to inspect and maintain the equipment.

[0037] 2. This energy storage power station safety risk assessment method based on hierarchical analysis overcomes the limitation of traditional assessment methods that rely only on a single data source by integrating multi-source information such as monitoring video data, equipment layout information, meteorological data, historical performance data, and network data. Through comprehensive analysis of these different types of data, it can fully and accurately understand the operating status and potential risks of the energy storage power station.

[0038] 3. In the energy storage power station safety risk assessment method based on hierarchical analysis, a risk assessment system is established by screening representative risk indicators specifically related to the energy storage power station, and a hierarchical analysis method is used to set reasonable weights for risk indicators. This makes the risk assessment results more scientific and accurate, and can truly reflect the safety risk status of the energy storage power station. Different risk level thresholds are set according to the assessment value range of the risk assessment system, and risk warning reminders are given in combination with the risk assessment value. This helps staff to understand the risk level of the energy storage power station in a timely manner, take corresponding measures to control risks, and ensure the safe operation of the energy storage power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 It is a schematic diagram of the overall process of the present invention.

[0040] Figure 2 A schematic diagram of a process for generating a representative model of an energy storage power station according to the present invention.

[0041] Figure 3 The present invention is a flow chart of extracting historical performance data recorded by energy storage equipment at the control end of the energy storage unit.

[0042] Figure 4 A schematic diagram of a process for establishing a risk assessment system for the present invention.

[0043] Figure 5 The present invention is a flow chart of providing risk warning reminders based on risk level thresholds combined with risk assessment values. DETAILED DESCRIPTION

[0044] The technical solution of the present invention is described in detail below.

[0045] See also Figures 1 to 5 As shown, the energy storage power station safety risk assessment method based on hierarchical analysis of this embodiment includes the following steps:

[0046] Step 1) Collect monitoring video data and equipment layout information of the energy storage power station, and collect meteorological data of the area corresponding to the energy storage power station;

[0047] Step 1) by establishing a data unit at the control end of the energy storage unit, and then establishing a data transmission connection between the data unit and the control end of the energy storage power station, thereby collecting monitoring video data of the energy storage power station at the control end;

[0048] At the same time, the equipment layout information of the energy storage power station is extracted on the control end. The specific steps are as follows:

[0049] Establish a data unit and connect it: Establish a data unit at the control end of the energy storage unit. This data unit can be a special data storage and processing module with the functions of data reception, storage and preliminary processing. At the same time, configure the data transmission protocol, and then establish a data transmission connection between the data unit and the control end of the energy storage power station through a wired network connection (such as Ethernet) or a wireless network connection (such as Wi-Fi, Bluetooth, etc.) to ensure that data can be transmitted stably and quickly;

[0050] Collecting surveillance video data: Determine the source of surveillance video data, usually the cameras in the energy storage power station. These cameras can be installed in different locations to fully cover the energy storage equipment. Then, through the data transmission connection, the surveillance video data collected by the camera is transmitted to the data unit at the control end of the energy storage unit;

[0051] Extract equipment layout information: Extract the digital design drawings on the control end, and then use the graphic processing tools to read the equipment layout information in the drawings, including the location, size, direction, etc. of the equipment. Then store the extracted equipment layout information in the data unit, which can be stored in a database or file for subsequent analysis and use.

[0052] Step 1) Establish a data transmission connection with the meteorological publishing network, obtain the geographical location of the energy storage power station, and then extract the corresponding meteorological data according to the geographical location in the meteorological publishing network. The specific steps are as follows:

[0053] Establish data transmission connection: determine the interface specification and data transmission protocol of the meteorological release network, and then develop a data acquisition module at the energy storage unit control end. This module can request and receive data according to the interface requirements of the meteorological release network, thereby connecting to the server of the meteorological release network through the Internet;

[0054] Obtaining the geographic location of the energy storage power station: If the energy storage power station has a positioning device (such as a GPS device), the geographic location information can be directly read from the positioning device, including longitude, latitude and altitude;

[0055] If there is no positioning equipment, you can query the address information of the energy storage power station and then use geographic information system (GIS) tools or online map services to convert the address into geographic location coordinates;

[0056] Extract meteorological data: Use the geographic location information of the energy storage power station as a parameter to send a data request to the meteorological publishing network. The request can include the required meteorological parameters (such as temperature, humidity, air pressure, wind speed, wind direction, etc.) and time range, and then receive the meteorological data response returned by the meteorological publishing network, parse the response data, extract the required meteorological parameter values, and store them in the data unit.

[0057] Step 2) establishing a three-dimensional model of the energy storage power station based on the monitoring video data and equipment layout information, and at the same time establishing a mechanical model of the energy storage equipment, and combining the mechanical model with the three-dimensional model as a representative model of the energy storage power station, and performing an appearance evaluation and a mechanical evaluation on the representative model of the energy storage equipment;

[0058] The steps of step 2) are as follows:

[0059] Step 2-1) A three-dimensional model of the energy storage power station is established based on the equipment layout information, and then the appearance features of the energy storage equipment are extracted from the video monitoring data. At the same time, the extracted appearance features are input into the three-dimensional model to supplement the model details. The specific steps are as follows:

[0060] Establish a 3D model of the energy storage power station: Analyze the equipment layout information, determine the position, size, shape, direction and other parameters of each device in the energy storage power station, and gradually create the equipment models of the energy storage power station in the 3D modeling software according to the equipment layout information. Combine and arrange the equipment models according to the actual layout to form a complete 3D model of the energy storage power station.

[0061] Extract the appearance features of energy storage equipment: select key frame images containing energy storage equipment from video surveillance data, and then preprocess the selected images, including denoising, contrast enhancement, color correction and other operations to improve image quality;

[0062] Input appearance features into the 3D model to supplement details: Match the extracted appearance features with the corresponding equipment in the 3D model, adjust and supplement the details of the 3D model according to the appearance features, and then render and optimize the supplemented 3D model to make it more realistically reflect the actual appearance of the energy storage equipment.

[0063] Step 2-2) extracting the mechanical performance parameters of the energy storage device from the device layout information, and then establishing a mechanical model of the energy storage device through the mechanical performance parameters. The specific steps are as follows:

[0064] Determine the source of mechanical performance parameters: Find the key mechanical performance parameters from the equipment layout information documents (such as equipment manuals, design drawings). These documents contain equipment material information (such as material type and model), equipment mass distribution (such as the mass of each component), equipment main structural dimensions (length, width, height, thickness, etc.) and connection methods (welding, bolt connection, etc.);

[0065] Arrange and record mechanical performance parameters: For mass parameters, record the mass of each component separately and calculate the total mass of the entire energy storage device;

[0066] For dimensional parameters, record the critical geometric dimensions of the equipment;

[0067] For material mechanical properties, record the elastic modulus, Poisson's ratio, yield strength, etc.

[0068] Determine the type of mechanical model: Select a suitable mechanical model based on the structural characteristics and stress conditions of the energy storage device. If the device is mainly subjected to axial forces (such as tension or compression), a bar structure model can be used; if the device is mainly subjected to bending and torsion forces, a beam unit or shell unit model may be required.

[0069] Step 2-3) The mechanical model is integrated with the three-dimensional model to generate a representative model of the energy storage power station;

[0070] Determine the coordinate system of the mechanical model and the three-dimensional model to ensure that the two models are in the same spatial coordinate system for accurate fusion. The coordinate system can be achieved by setting a common origin, coordinate axis direction and unit length;

[0071] Match the equipment structure information in the mechanical model with the geometric shape in the 3D model, and then add the calculation results of the mechanical model to the 3D model in a visual way in the 3D modeling software;

[0072] After the integration is completed, a representative model of the energy storage power station is generated, which includes both the three-dimensional appearance of the energy storage power station and the visual representation of the mechanical analysis results.

[0073] Step 2-4) Obtain the product model of the energy storage device, then obtain the standard energy storage device on the network according to the product model, and then combine the standard energy storage device with the representative model of the energy storage power station to perform appearance evaluation and mechanical evaluation on the energy storage device of the energy storage power station, so as to obtain the appearance evaluation results and mechanical evaluation results. The specific steps are as follows:

[0074] Obtain the product model of energy storage equipment and obtain standard energy storage equipment on the Internet: Obtain the product model information of energy storage equipment from the equipment documents, labels or databases of energy storage power stations, and then use the product model as a keyword to search on the Internet to download or obtain technical specifications, performance parameters, appearance pictures and other information of standard energy storage equipment;

[0075] Appearance evaluation: Compare the appearance of the equipment in the actual energy storage power station with the appearance pictures of the standard energy storage equipment to observe whether there are any abnormalities such as scratches, deformation, corrosion, etc. on the surface of the equipment, and then quantify the appearance differences;

[0076] Mechanical evaluation: Compare the mechanical analysis results in the representative model of the actual energy storage power station with the mechanical performance parameters of the standard energy storage equipment. For example, compare the stress and strain values ​​of the actual equipment with the allowable stress and strain range of the standard equipment. Then, based on the comparison results, determine whether the mechanical properties of the actual equipment meet the standard requirements. The formula is as follows:

[0077]

[0078] It is assumed that several appearance feature points can be extracted. For the actual energy storage device and the standard energy storage device, n is the number of feature points, and the value of the i-th feature point of the actual device is P i , the value of the i-th characteristic point of the standard equipment is Q i , S is the appearance similarity;

[0079] This formula reflects the degree of similarity in appearance by calculating the ratio of the sum of the differences between the feature points of the actual device and the standard device to the sum of the feature points of the standard device. The higher the similarity, the smaller the appearance difference.

[0080] n=σ allowable / σ actual

[0081] Where n is the safety factor, σ allowable is the allowable stress of standard equipment, σ actual It is the stress obtained by analyzing the actual equipment in combination with the representative model. If the safety factor is less than 1, it means that there is a mechanical risk in the actual equipment.

[0082] Step 3) Collect historical performance data of energy storage equipment, then combine meteorological data with historical performance data to perform performance change forecast analysis, and perform risk performance assessment on the predicted performance change trend;

[0083] The steps of step 3) are as follows:

[0084] Step 3-1) extracting historical performance data recorded by the energy storage device at the control end of the energy storage unit;

[0085] Step 3-2) Combine historical performance data with meteorological data to perform performance change prediction analysis, predict and obtain the performance change trend of the energy storage equipment under future meteorological data, and then perform damage risk assessment on the performance change trend to obtain performance assessment results;

[0086] Determine the location where historical performance data is stored in the energy storage device, read the historical performance data from the control end of the energy storage unit through the data interface or communication protocol, and then organize and classify the extracted data, for example, store the data such as charging and discharging efficiency, energy output, and device temperature at different time points in different data tables or arrays;

[0087] The calculation formula is as follows:

[0088] y=a0+a1X1+a2x2+…+a n x n

[0089] Among them, y is the performance index, x1, x2, ..., xn For multiple meteorological factors, the coefficients a0, a1, ..., a are determined by using the least squares method based on historical data. n ;

[0090]

[0091] Among them, y new To predict performance indicators, is the new meteorological data vector;

[0092] R total =w1|Δy1|+w2|Δy2|+…+w m |Δy m |

[0093] Among them, Δy1, Δy2,…, Δy m is the change of multiple performance indicators, and the weight corresponding to each indicator is w1, w2, ..., w m , the performance risk assessment value is R total .

[0094] Step 4) Analyze the risk indicators based on the energy storage representative model, and then summarize the acquired risk indicators to establish a risk assessment system. At the same time, collect network data related to the energy storage power station, and then perform a weight analysis of the risk indicators based on the network-related data combined with the energy storage power station to be assessed;

[0095] The steps of step 4) are as follows:

[0096] Step 4-1) The representative energy storage model is combined with the appearance evaluation, mechanical evaluation and performance evaluation to analyze the risk indicators. In the process of appearance evaluation, mechanical evaluation and performance evaluation, the representative risk indicators related to the energy storage power station are selected, and then the selected risk indicators are summarized to establish a risk assessment system. The specific steps are as follows:

[0097] Analyze representative energy storage models: Carefully study representative energy storage models, including their three-dimensional structure, mechanical properties, and performance relative to historical performance data, to identify key factors and locations in the model that may affect the risk of damage to energy storage equipment;

[0098] Appearance assessment risk indicator screening: Observe the appearance characteristics of the energy storage equipment, such as whether there are scratches, corrosion, deformation, etc. on the surface;

[0099] Consider factors such as color change of the device and coating integrity;

[0100] Pay special attention to areas that may be greatly affected by the external environment, such as those exposed to the sun or susceptible to wind and rain erosion;

[0101] Mechanical assessment risk indicator screening: Analyze the stress and strain distribution of energy storage equipment under various stress conditions;

[0102] Consider the mechanical properties of key parts such as the equipment's connection parts and supporting structures;

[0103] Evaluate the impact of external forces on the equipment's structure based on different meteorological conditions and working conditions;

[0104] Performance evaluation risk indicator screening: Analyze the historical performance data of energy storage equipment, including charging and discharging efficiency, energy capacity changes, equipment temperature, etc., consider the impact of different meteorological conditions on performance, such as performance under high temperature, low temperature, high humidity and other environments, and pay attention to the impact of equipment aging on performance;

[0105] Summarize risk indicators and establish a risk assessment system: Summarize the representative risk indicators in the screened appearance, mechanics and performance evaluations to establish a risk assessment system.

[0106] Step 4-2) Collect network data related to energy storage power station risks on the Internet, and perform energy storage power station similarity analysis on the network data based on the energy storage power station information to be evaluated. Then, weights are set for risk indicators in the risk assessment system based on the analysis results. The specific steps are as follows:

[0107] Steps for collecting network data: Identify the channels for obtaining network data related to energy storage power station risks, use web crawler tools or related data collection software, set appropriate collection rules and parameters to capture text, data, cases and other information related to energy storage power station risks;

[0108] Energy storage power station similarity analysis steps: Extract key features from the energy storage power station information to be evaluated, such as power station scale, equipment type, geographical location, operating environment, etc., and also extract features from energy storage power station cases in network data, such as the capacity of the power station in the case, equipment brand, climate conditions, etc. The calculation formula is as follows:

[0109]

[0110] Among them, the eigenvectors of the two power stations are and is the distance between the two power plants. The smaller the distance, the higher the similarity. The risk conditions and risk indicator performances in these similar power plant cases are analyzed to provide a reference for the risk assessment of the target power plant.

[0111] Weight setting: For the cases similar to the target power station found in the similarity analysis, extract the weight setting of each risk indicator in its risk assessment system;

[0112] At the same time, industry experts can be invited to adjust and determine the weights of risk indicators based on the specific conditions of the target power station and the analysis results of similar power station cases. The hierarchical analysis method can be used to let experts compare the importance of different risk indicators in pairs, construct a judgment matrix, and calculate the weight of each indicator.

[0113] Step 5) Input the appearance evaluation results, mechanical evaluation results and performance evaluation results into the risk assessment system for index output, and then issue different levels of early warning reminders based on the output index.

[0114] The steps of step 5) are as follows:

[0115] Step 5-1) Set different risk level thresholds according to the assessment value range of the risk assessment system;

[0116] Step 5-2) Input the appearance assessment results, mechanical assessment results and performance assessment results into the risk assessment system, so as to output the risk assessment value of the energy storage power station through the risk assessment system, and then conduct risk warning reminders based on the risk level threshold and the risk assessment value. The specific steps are as follows:

[0117] Determine the range of assessment values: Analyze the range of each assessment result in the risk assessment system. For example, the appearance assessment result may be between 0 and 10, the mechanical assessment result may be between 0 and 50, and the performance assessment result may be between 0 and 20. Based on these ranges, determine the approximate range of the comprehensive risk assessment value.

[0118] Divide risk levels: Determine the range of assessment values ​​corresponding to each risk level based on experience or industry standards. For example, low risk can be set as a comprehensive assessment value between 0 and 30, medium risk between 30 and 60, and high risk above 60. At the same time, set specific thresholds at the boundaries of each risk level. The thresholds for low and medium risks can be set at 30, and the thresholds for medium and high risks can be set at 60.

[0119] Weighted summation: Since the results of appearance assessment, mechanical assessment and performance assessment may have different units and value ranges, these results need to be standardized. Then, according to the weight of each assessment result in the risk assessment system, the standardized appearance assessment results, mechanical assessment results and performance assessment results are weighted summed;

[0120] Comparison of assessment values: Compare the calculated comprehensive risk assessment value with the set risk level threshold. If it is less than the low risk and medium risk thresholds, the current risk level is low risk; if it is between the low risk and medium risk thresholds, it is medium risk; if it is greater than the medium risk and high risk thresholds, it is high risk;

[0121] Issue early warning reminders: Different early warning methods are adopted according to different risk levels. For example, for low risks, a green early warning can be issued, indicating a relatively low risk but still requiring attention; for medium risks, a yellow early warning can be issued to remind relevant personnel to strengthen monitoring and management; for high risks, a red early warning can be issued to immediately take emergency measures for risk control. The formula is as follows:

[0122]

[0123] Among them, the appearance evaluation result is A, and its value range is A min ,A max , and the standardized appearance evaluation result is A';

[0124]

[0125] Among them, the mechanical evaluation result is B, and its value range is B min ,B max , and the standardized appearance evaluation result is B'

[0126]

[0127] Among them, the performance evaluation result is C, and its value range is C min ,C max , and the standardized performance evaluation result is C';

[0128] ”'

[0129] R = w1A + w2B + w3C

[0130] Among them, the weight of the appearance evaluation result is w1, the weight of the mechanical evaluation result is w2, the weight of the performance evaluation result is w3, the comprehensive risk evaluation value is R, and the thresholds for low risks and medium risks are set as T1, and the thresholds for medium risks and high risks are set as T2:

[0131] If R < T1, it is a low risk;

[0132] If T1 ≤ R < T2, it is a medium risk;

[0133] If R ≥ T2, it is a high risk.

[0134] As mentioned above, it is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by those skilled in the art within the technical scope disclosed by the present invention should be covered by the protection scope of the present invention. Therefore, the protection scope of the present invention should be subject to the protection scope of the claims.

Claims

1. A method for safety risk assessment of energy storage power stations based on hierarchical analysis, characterized in that: The following steps are involved: Step 1) collecting monitoring video data, equipment layout information and meteorological data of the energy storage power station; Step 2) establishing a three-dimensional model of the energy storage power station based on the monitoring video data and equipment layout information; establishing a mechanical model of the energy storage equipment, combining the mechanical model with the three-dimensional model to form a representative model of the energy storage power station for evaluating the appearance and mechanical properties of the equipment; and obtaining appearance evaluation results and mechanical evaluation results based on the representative model of the energy storage power station; Step 3) Collect historical performance data of energy storage equipment, combine meteorological data and historical performance data to perform performance change forecast analysis, and perform risk performance assessment based on the predicted performance change trend; Step 4) Analyze the risk indicators based on the energy storage representative model, summarize the acquired risk indicators, establish a risk assessment system, collect network data of energy storage power stations, and perform a weight analysis of risk indicators based on network-related data combined with the energy storage power stations that need to be assessed; Step 5) Input the appearance evaluation results, mechanical evaluation results and performance evaluation results into the risk assessment system for risk warning reminders.

2. The method for safety risk assessment of energy storage power station based on hierarchical analysis according to claim 1 is characterized in that: In the step 1), a data unit is established at the control end of the energy storage unit, and a data transmission connection is established between the data unit and the control end of the energy storage power station, so that monitoring video data of the energy storage power station is collected at the control end and equipment layout information of the energy storage power station is extracted.

3. The method for safety risk assessment of energy storage power station based on hierarchical analysis according to claim 1 is characterized in that: In the step 1), a data transmission connection is established with the meteorological publishing network, and corresponding meteorological data is extracted from the meteorological publishing network according to the geographical location of the energy storage power station.

4. The method for safety risk assessment of energy storage power station based on hierarchical analysis according to claim 1 is characterized in that: In the step 2), the appearance features of the energy storage device are extracted from the video monitoring data, and the extracted appearance features are input into the three-dimensional model to supplement the model details.

5. The method for safety risk assessment of energy storage power station based on hierarchical analysis according to claim 1 is characterized in that: The step 2) of establishing the mechanical model of the energy storage device specifically comprises: extracting the mechanical performance parameters of the energy storage device from the device layout information, and then establishing the mechanical model of the energy storage device based on the mechanical performance parameters.

6. The method for safety risk assessment of energy storage power station based on hierarchical analysis according to claim 1 is characterized in that: The process of obtaining the appearance evaluation results and the mechanical evaluation results in step 2) is as follows: obtaining the product model of the energy storage device, obtaining the standard energy storage device according to the product model, combining the standard energy storage device with the representative model of the energy storage power station to perform appearance evaluation and mechanical evaluation on the energy storage equipment of the energy storage power station, and obtaining the appearance evaluation results and the mechanical evaluation results according to a preset judgment formula.

7. The method for safety risk assessment of energy storage power station based on hierarchical analysis according to claim 6 is characterized in that: According to the judgment formula (1), the appearance evaluation result is obtained. Among them, for the actual energy storage device and the standard energy storage device, n is the number of characteristic points, and the value of the i-th characteristic point of the actual device is P i , the value of the i-th characteristic point of the standard equipment is Q i , S is the appearance similarity; According to the judgment formula (2), the mechanical evaluation results are obtained. n=σ allowable / s actual (2) In formula (2), n is the safety factor, σ allowable is the allowable stress of standard equipment, σ actual It is the stress obtained by analyzing the actual equipment in combination with the representative model.

8. The method for safety risk assessment of energy storage power station based on hierarchical analysis according to claim 1 is characterized in that: In the step 3), the performance change prediction analysis is performed according to formula (3), y=a0+a1x1+a2x2+…+a n x n In formula (3), y is the performance index, x1, x2, ..., x n For multiple meteorological factors, the coefficients a0, a1, ..., a are determined by using the least squares method based on historical data. n ;y new To predict performance indicators, is the new meteorological data vector; According to formula (4), risk performance evaluation is performed. R total =w1|Δy1|+w2|Δy2|+…+w m |Δy m | (4) In formula (4), Δy1, Δy2, ..., Δy m is the change of multiple performance indicators, and the weight corresponding to each indicator is w1, w2, ..., w m , the performance risk assessment value is R total .

9. The method for safety risk assessment of energy storage power station based on hierarchical analysis according to claim 1 is characterized in that , the step 4) specifically includes: Step 4-1) Perform risk index analysis on the energy storage representative model in combination with appearance evaluation, mechanical evaluation and performance evaluation, select and summarize risk indicators related to the energy storage power station during the appearance evaluation, mechanical evaluation and performance evaluation process, and establish a risk assessment system; Step 4-2) Collect network data related to energy storage power station risks on the Internet, and perform energy storage power station similarity analysis on the network data based on the energy storage power station information to be evaluated, and set weights for risk indicators in the risk assessment system based on the analysis results.

10. The method for safety risk assessment of energy storage power station based on hierarchical analysis according to claim 1 is characterized in that , the step 5) specifically includes: Step 5-1) Set different risk level thresholds according to the assessment value range of the risk assessment system; Step 5-2) Input the appearance assessment results, mechanical assessment results and performance assessment results into the risk assessment system, so as to output the risk assessment value of the energy storage power station through the risk assessment system, and then issue a risk warning reminder based on the preset risk level threshold combined with the risk assessment value.

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