Photovoltaic power station electrical equipment health assessment system

Abstract

The invention discloses a health assessment system for electrical equipment of a photovoltaic power station, and the system comprises the steps: presetting an assessment period of health assessment corresponding to each piece of electrical equipment of the photovoltaic power station, collecting and analyzing operation parameters of the corresponding electrical equipment of the photovoltaic power station after the preset assessment period is reached; therefore, the operation evaluation index of the electrical equipment corresponding to the photovoltaic power station is obtained, the health state of the electrical equipment is evaluated according to the obtained operation evaluation index, potential hidden dangers are avoided, and after the operation evaluation index of the electrical equipment is further obtained, the equipment log of the corresponding electrical equipment is extracted and analyzed. Based on the operation evaluation index of the corresponding electrical equipment and the equipment log analysis result, the health score of the corresponding electrical equipment is obtained, comprehensive evaluation is performed on the health state in combination with the operation state of the electrical equipment and the log analysis result, and the comprehensiveness and accuracy of health evaluation are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic power stations, and in particular to a health assessment system for electrical equipment in a photovoltaic power station. Background Art

[0002] With the widespread application of photovoltaic power stations, the operating status of the power station's electrical equipment directly affects the power generation efficiency and safety of the power station. The health assessment of photovoltaic power station electrical equipment is of great significance to ensuring the stable operation of the power station and improving the economic benefits.

[0003] However, the electrical equipment health assessment in the existing technology still has the following deficiencies: Most of them rely on manual inspections and simple health checks. They cannot collect the operating parameters of electrical equipment in real time and automatically analyze the health status of equipment according to the preset health assessment cycle of each electrical equipment. This leads to the inability to timely warn and deal with potential equipment problems, and lacks systematic and automated assessment methods. At the same time, when conducting health assessments of electrical equipment, the historical fault data in the equipment logs was not fully utilized, there was a lack of in-depth analysis and application of the historical fault data, and it was impossible to conduct a comprehensive assessment of the health status by combining the operating status of the electrical equipment and the log analysis results, and the health assessment was singular.

[0004] Therefore, a photovoltaic power station electrical equipment health assessment system is introduced. Summary of the invention

[0005] In view of this, the present invention provides a photovoltaic power station electrical equipment health assessment system to solve the problems raised by the above background technology.

[0006] The purpose of the present invention can be achieved through the following technical solutions: A photovoltaic power station electrical equipment health assessment system, comprising: Operation collection module: preset the evaluation cycle of health evaluation of each electrical equipment in the photovoltaic power station. The electrical equipment is represented by the number i, where i=1,2...k, and k is the total number of electrical equipment added to the health evaluation. After reaching the preset evaluation cycle, the operation parameters of the corresponding electrical equipment in the photovoltaic power station are collected and sent to the data analysis module; the operation parameters include current, voltage and temperature; Data analysis module: receives and analyzes the operating parameters of the electrical equipment corresponding to the photovoltaic power station, thereby obtaining the operating evaluation index of the electrical equipment corresponding to the photovoltaic power station And the operation evaluation index of the electrical equipment corresponding to the photovoltaic power station Send to health assessment module; Health assessment module: receives the operation assessment index of the electrical equipment corresponding to the photovoltaic power station , and extract and analyze the equipment logs of the corresponding electrical equipment, based on the operation evaluation index of the corresponding electrical equipment The health score of the corresponding electrical equipment is obtained by analyzing the equipment log, and the health score of the corresponding electrical equipment is sent to the fault warning module; Fault warning module: receives the health score of the electrical equipment corresponding to the photovoltaic power station, triggers the warning signal of the corresponding electrical equipment based on the comparison result of the health score of the corresponding electrical equipment, and sends it to the maintenance processing module; Maintenance processing module: receives early warning signals from electrical equipment corresponding to the photovoltaic power station and executes corresponding steps.

[0007] In some embodiments, current parameters of electrical equipment corresponding to the photovoltaic power station are received and analyzed, specifically: Obtain the current values ​​collected by the corresponding electrical equipment of the photovoltaic power station at each time point within the set time period, calculate the current values ​​at each time point using the standard deviation formula, and obtain the current fluctuation value of the corresponding electrical equipment within the set time period; Based on the specific type of electrical equipment, a reference value of the current fluctuation value corresponding to each electrical equipment is preset. If the current fluctuation value of the corresponding electrical equipment in the current set time period is greater than the corresponding preset reference value, the maximum value of the current value at each time point is further taken as the current estimation value of the corresponding electrical equipment in the set time period; if the current fluctuation value of the corresponding electrical equipment in the current set time period is less than the corresponding preset reference value, the average value of the current value at each time point is further taken as the current estimation value of the corresponding electrical equipment in the set time period.

[0008] In some embodiments, voltage parameters of electrical equipment corresponding to the photovoltaic power station are received and analyzed, specifically: Based on the specific type of electrical equipment, the normal voltage fluctuation range is preset, that is, the voltage fluctuates slightly within a certain range; Obtain the voltage values ​​of the electrical equipment corresponding to the photovoltaic power station at each time point within the set time period, extract the maximum and minimum values ​​from the voltage values ​​at each time point, and calculate the average of the voltage values ​​at each time point; The voltage value of the corresponding electrical equipment in normal operation is preset as the baseline voltage of the corresponding electrical equipment; based on the maximum, minimum and average voltage values ​​of the corresponding electrical equipment in the set time period, the formula is used to calculate the baseline voltage of the corresponding electrical equipment. Calculations are performed separately to obtain three groups of deviation percentages of the corresponding electrical equipment within the set time period. If one of the deviation percentages is a negative percentage, the absolute value is taken, and the average of the three groups of deviation percentages is calculated, and the calculated average is used as the voltage estimate of the corresponding electrical equipment within the set time period.

[0009] In some embodiments, the temperature parameters of the electrical equipment corresponding to the photovoltaic power station are received and analyzed, specifically: Obtain the temperature value of the corresponding electrical equipment of the photovoltaic power station at each time point within the set time period, calculate the temperature value at each time point using the standard deviation formula, and obtain the temperature fluctuation value of the corresponding electrical equipment within the set time period; The average value of the temperature values ​​at each time point in the set time period is taken as the average temperature value of the corresponding electrical equipment, and the maximum value is further extracted from the temperature values ​​at each time point in the set time period as the peak temperature value of the corresponding electrical equipment; Based on the specific type of the corresponding electrical equipment, determine the maximum allowable temperature value of the electrical equipment during operation; Calculate the ratios of the temperature mean and temperature peak to the corresponding maximum allowable temperature values ​​respectively to obtain the average ratio and peak ratio. Use the temperature fluctuation value of the corresponding electrical equipment as the height of the three-dimensional cylinder and the accumulated value of the average ratio and the peak ratio as the base radius of the three-dimensional cylinder to construct a three-dimensional cylinder. Obtain the surface area of ​​the three-dimensional cylinder as the temperature estimation of the corresponding electrical equipment.

[0010] In some embodiments, the operation evaluation index of the electrical equipment corresponding to the photovoltaic power station is obtained. , specifically: Extract the current estimation, voltage estimation and temperature estimation of the electrical equipment corresponding to the photovoltaic power station within the set time period and mark them as , as well as ; Based on the specific type of electrical equipment, preset the current estimation of each electrical equipment within the set time period and temperature estimation The maximum allowable value of the voltage is taken as the voltage estimate of the corresponding electrical equipment within the set time period. The maximum permissible value of Estimated current of the corresponding electrical equipment within the set time period , Temperature estimation And voltage estimation The maximum allowed values ​​are marked as , as well as ; According to the formula , estimate the current of each electrical device within a set time period , Temperature estimation And voltage estimation Perform weighted calculation to obtain the operation evaluation index of the electrical equipment corresponding to the photovoltaic power station ;in , as well as Respectively represent the corresponding electrical equipment current estimation , Temperature estimation And voltage estimation The weight factor of influence.

[0011] In some embodiments, the device log of the corresponding electrical device is extracted and analyzed, specifically: Obtain historical fault data of the corresponding electrical equipment from the equipment log of the corresponding electrical equipment, the historical fault data including the time of occurrence of the fault, the fault mode and the fault cause; preset equipment impact scores for different fault modes of the corresponding electrical equipment; Classification is performed based on the failure modes corresponding to each failure of the corresponding electrical equipment. After the classification is completed, the equipment impact score of each failure of the corresponding electrical equipment is converted according to the equipment impact score preset for different failure modes of the corresponding electrical equipment. Then the sum of the equipment impact scores of each group of corresponding electrical equipment is taken as the failure degree score of the corresponding electrical equipment.

[0012] In some embodiments, the device log of the corresponding electrical device is extracted and analyzed, and further: Obtain the total number of historical failures and service life of the corresponding electrical equipment, preset the value ranges of the corresponding number of historical failures and service life of the electrical equipment, and set each value range of the corresponding number of historical failures and service life of the electrical equipment to correspond to a group of equipment aging scores; Match the total number of historical failures and service life of the corresponding electrical equipment with the corresponding preset value ranges, obtain the equipment aging score corresponding to the total number of historical failures and service life of the corresponding electrical equipment, and add up the two sets of equipment aging scores obtained by matching to obtain the aging degree score of the corresponding electrical equipment; Based on the specific type of the corresponding electrical equipment, the weight coefficients of the fault degree score and the aging degree score are preset respectively, the fault degree score and the aging degree score of the corresponding electrical equipment are multiplied by the corresponding weight coefficients, and then the sum is obtained to obtain the equipment hidden danger index of the corresponding electrical equipment .

[0013] In some embodiments, based on the operation evaluation index of the corresponding electrical equipment The health score of the corresponding electrical equipment is obtained by analyzing the equipment log, which is as follows: Preset corresponding electrical equipment operation evaluation indexes respectively and equipment hidden danger index The value range of each group of indexes is set to the corresponding electrical equipment operation evaluation index and equipment hidden danger index Each index value range of corresponds to a negative score, which corresponds to the electrical equipment operation evaluation index and equipment risk index Matching with the corresponding preset index value ranges respectively, to obtain two groups of negative scores of the corresponding electrical equipment; According to the specific type of the corresponding electrical equipment, a basic score of the corresponding electrical equipment is preset, and the basic score of the corresponding electrical equipment and the two groups of negative scores are accumulated to obtain a health score of the corresponding electrical equipment.

[0014] In some embodiments, based on the health score comparison result of the corresponding electrical equipment, the early warning signal of the corresponding electrical equipment is triggered, specifically: A passing score for the health score of the corresponding electrical equipment is preset, and the health score calculated for the corresponding electrical equipment is compared with the corresponding preset passing score. If the health score calculated for the corresponding electrical equipment is lower than the preset passing score, an early warning signal is triggered.

[0015] In some embodiments, a warning signal of an electrical device corresponding to a photovoltaic power station is received, and corresponding steps are performed, specifically: S1: Identify the specific type of electrical equipment that currently triggers the warning signal, and then obtain the location of the electrical equipment; S2: Draw a circle with the electrical equipment as the center and the distance as the radius, select all maintenance personnel within the circle, and analyze the distance qw, working years qe and maintenance times qr of each maintenance personnel; S3: Based on the travel distance qw, working years qe and maintenance times qr of each maintenance personnel in step S2, the processing optimal value P of each maintenance personnel is obtained; S4: Based on the processing preference value P of each maintenance personnel corresponding to the electrical equipment, the maintenance personnel with the largest processing preference value P is selected as the solution personnel, and the health score and location of the electrical equipment are sent to the solution personnel's mobile terminal, and the maintenance times of the solution personnel are increased by one.

[0016] In some embodiments, the preferred processing value P of the electrical equipment corresponding to each maintenance personnel is obtained, specifically: First, a location feedback signal is sent to their mobile terminals. After each maintenance personnel confirms the received location feedback signal, the location of each maintenance personnel is obtained, and the distance between each maintenance personnel and the electrical equipment is obtained, which is recorded as qw; further, the work log of each maintenance personnel is obtained, and the historical maintenance data and working years of each maintenance personnel are extracted from the work log of each maintenance personnel, and the working years of each maintenance personnel are marked as qe; the historical maintenance data of each maintenance personnel is parsed to obtain the maintenance times of each maintenance personnel, which is recorded as qr; Based on the specific type of the electrical equipment, the influence weight factors of the maintenance personnel's travel distance qw, working years qe and maintenance times qr corresponding to the electrical equipment are extracted, and the influence weight factors are calculated according to the formula A weighted calculation is performed to obtain the processing preference value P for each maintenance personnel of the electrical equipment; wherein yi, mi and fi respectively represent the influencing weight factors of the distance qw, working years qe and maintenance times qr when selecting maintenance personnel for the corresponding electrical equipment.

[0017] Compared with the prior art, the present invention has the following beneficial effects: The present invention presets an assessment cycle for health assessment corresponding to each electrical device in the photovoltaic power station. After reaching the preset assessment cycle, the operating parameters of the electrical devices corresponding to the photovoltaic power station are collected and analyzed, thereby obtaining an operation assessment index of the electrical devices corresponding to the photovoltaic power station. The health status of the electrical devices is assessed based on the obtained operation assessment index to avoid potential hidden dangers. After further obtaining the operation assessment index of the electrical devices, the device logs of the corresponding electrical devices are extracted and analyzed. Based on the operation assessment index of the corresponding electrical devices and the analysis results of the device logs, the health scores of the corresponding electrical devices are obtained. The health status is comprehensively assessed in combination with the operation status of the electrical devices and the log analysis results, thereby improving the comprehensiveness and accuracy of the health assessment. The present invention presets a passing score for the health score of the corresponding electrical equipment, and compares the health score calculated for the corresponding electrical equipment with the corresponding preset passing score. If the health score calculated for the corresponding electrical equipment is lower than the preset passing score, an early warning signal is triggered, and based on the location of the specific electrical equipment that triggers the early warning signal, each maintenance personnel is analyzed to obtain a processing preference value for each maintenance personnel. According to the processing preference value for each maintenance personnel, a comprehensive consideration of the position, experience and maintenance history of the maintenance personnel is achieved, thereby improving the maintenance efficiency of the electrical equipment in the photovoltaic power station. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Further details, features and advantages of the present application are disclosed in the following description of exemplary embodiments in conjunction with the accompanying drawings, in which: Figure 1 It is a principle block diagram of the present invention. DETAILED DESCRIPTION

[0019] Several embodiments of the present application will be described in more detail below with reference to the accompanying drawings so that those skilled in the art can implement the present application. The present application can be embodied in many different forms and purposes and should not be limited to the embodiments described herein. These embodiments are provided to make the present application comprehensive and complete, and to fully convey the scope of the present application to those skilled in the art. The embodiments do not limit the present application.

[0020] Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by those of ordinary skill in the art to which this application belongs. It will be further understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the relevant art and / or the context of this specification, and will not be interpreted in an idealized or overly formal sense unless explicitly defined as such herein.

[0021] See also Figure 1 As shown, a photovoltaic power station electrical equipment health assessment system includes an operation collection module, a data analysis module, a health assessment module, a fault warning module and a maintenance processing module; The operation collection module is used to preset the evaluation cycle of the health evaluation of each electrical equipment in the photovoltaic power station according to the operation characteristics of the photovoltaic power station and the importance of the electrical equipment; for example, a health evaluation is performed once a day or once a week; the electrical equipment is represented by a number i, where i=1,2...k, k is the total number of electrical equipment added to the health evaluation, and the electrical equipment includes inverters, transformers and distribution cabinets. After reaching the preset evaluation cycle, the operating parameters of the corresponding electrical equipment in the photovoltaic power station are collected and sent to the data analysis module; the operating parameters include current, voltage and temperature; The data analysis module is used to receive and analyze the operating parameters of the electrical equipment corresponding to the photovoltaic power station, thereby obtaining the operating evaluation index of the electrical equipment corresponding to the photovoltaic power station. And the operation evaluation index of the electrical equipment corresponding to the photovoltaic power station Send to health assessment module; Specifically: Obtain the current values ​​collected by the corresponding electrical equipment of the photovoltaic power station at each time point within the set time period, calculate the current values ​​at each time point using the standard deviation formula, and obtain the current fluctuation value of the corresponding electrical equipment within the set time period; Based on the specific type of electrical equipment, a reference value of the current fluctuation value corresponding to each electrical equipment is preset. If the current fluctuation value of the corresponding electrical equipment in the current set time period is greater than the corresponding preset reference value, the maximum value of the current value at each time point is further taken as the current estimation value of the corresponding electrical equipment in the set time period; if the current fluctuation value of the corresponding electrical equipment in the current set time period is less than the corresponding preset reference value, the average value of the current value at each time point is further taken as the current estimation value of the corresponding electrical equipment in the set time period; Based on the specific type of electrical equipment, the normal voltage fluctuation range is preset, that is, the voltage fluctuates slightly within a certain range; It should be noted that this is determined according to the technical specifications of the equipment. For example, for an inverter, a voltage fluctuation within ±5% is considered normal.

[0022] Obtain the voltage values ​​of the electrical equipment corresponding to the photovoltaic power station at each time point within the set time period, extract the maximum and minimum values ​​from the voltage values ​​at each time point, and calculate the average of the voltage values ​​at each time point; The voltage value of the corresponding electrical equipment in normal operation is preset as the baseline voltage of the corresponding electrical equipment; based on the maximum, minimum and average voltage values ​​of the corresponding electrical equipment in the set time period, the formula is used to calculate the baseline voltage of the corresponding electrical equipment. Calculate respectively to obtain three groups of deviation percentages of the corresponding electrical equipment within the set time period. If one group of deviation percentages is a negative percentage, take the absolute value, calculate the average of the three groups of deviation percentages, and use the calculated average as the voltage estimation of the corresponding electrical equipment within the set time period; Obtain the temperature value of the corresponding electrical equipment of the photovoltaic power station at each time point within the set time period, calculate the temperature value at each time point using the standard deviation formula, and obtain the temperature fluctuation value of the corresponding electrical equipment within the set time period; The average value of the temperature values ​​at each time point in the set time period is taken as the average temperature value of the corresponding electrical equipment, and the maximum value is further extracted from the temperature values ​​at each time point in the set time period as the peak temperature value of the corresponding electrical equipment; Based on the specific type of the corresponding electrical equipment, determine the maximum allowable temperature value of the electrical equipment during operation; Calculate the ratios of the temperature mean and the temperature peak to the corresponding maximum allowable temperature value, obtain the mean ratio and the peak ratio, use the temperature fluctuation value of the corresponding electrical equipment as the height of the three-dimensional cylinder, and the accumulated value of the mean ratio and the peak ratio as the base radius of the three-dimensional cylinder, thereby constructing a three-dimensional cylinder; obtain the surface area of ​​the three-dimensional cylinder as the temperature estimation of the corresponding electrical equipment; Extract the current estimation, voltage estimation and temperature estimation of the electrical equipment corresponding to the photovoltaic power station within the set time period and mark them as , as well as ; Based on the specific type of electrical equipment, preset the current estimation of each electrical equipment within the set time period and temperature estimation The maximum allowable value of the voltage is taken as the voltage estimate of the corresponding electrical equipment within the set time period. The maximum permissible value of The current and temperature of the corresponding electrical equipment will be estimated within the set time period And voltage estimation The maximum allowed values ​​are marked as , as well as ; According to the formula , estimate the current of each electrical device within a set time period , Temperature estimation And voltage estimation Perform weighted calculation to obtain the operation evaluation index of the electrical equipment corresponding to the photovoltaic power station ;in , as well as Respectively represent the corresponding electrical equipment current estimation , Temperature estimation And voltage estimation The impact weight factor of The health assessment module is used to receive the operation assessment index of the corresponding electrical equipment of the photovoltaic power station , and extract and analyze the equipment logs of the corresponding electrical equipment, based on the operation evaluation index of the corresponding electrical equipment The health score of the corresponding electrical equipment is obtained by analyzing the equipment log, and the health score of the corresponding electrical equipment is sent to the fault warning module; Specifically: Obtain historical fault data of the corresponding electrical equipment from the equipment log of the corresponding electrical equipment, the historical fault data including the time of occurrence of the fault, the fault mode and the fault cause; Preset equipment impact scores corresponding to different failure modes of electrical equipment. The equipment impact score range can be set from 1 to 10 and is set according to the specific electrical equipment type and specific failure mode. It can be adjusted later according to actual application conditions. Classify the fault modes corresponding to each fault of the corresponding electrical equipment. After the classification is completed, convert the equipment impact score of each fault of the corresponding electrical equipment according to the preset equipment impact score of different fault modes of the corresponding electrical equipment, and then take the sum of the equipment impact scores of each group of the corresponding electrical equipment as the fault degree score of the corresponding electrical equipment; At the same time, the total number of historical failures and service life of the corresponding electrical equipment are obtained, and each group of value ranges corresponding to the number of historical failures and service life of the electrical equipment are preset, and each group of value ranges corresponding to the number of historical failures and service life of the electrical equipment is set to correspond to a group of equipment aging scores; the equipment aging score range can be set from 1 to 10, and is set by technical personnel according to the specific type and expected life of the electrical equipment, and can be adjusted later according to actual application conditions; Match the total number of historical failures and service life of the corresponding electrical equipment with the corresponding preset value ranges, obtain the equipment aging score corresponding to the total number of historical failures and service life of the corresponding electrical equipment, and add up the two sets of equipment aging scores obtained by matching to obtain the aging degree score of the corresponding electrical equipment; Based on the specific type of the corresponding electrical equipment, the weight coefficients of the fault degree score and the aging degree score are preset respectively, the fault degree score and the aging degree score of the corresponding electrical equipment are multiplied by the corresponding weight coefficients, and then the sum is obtained to obtain the equipment hidden danger index of the corresponding electrical equipment ; It should be noted that, for example Obtaining historical fault data Inverter: Fault occurrence time: 2024-01-01, 2024-03-15, 2024-05-20; Failure modes: overheating, short circuit, mechanical failure; Causes of failure: poor heat dissipation, insulation material problems, wear of mechanical parts; Preset Device Impact Scoring Overheating: Impact Rating 8 Short Circuit: Impact Rating 6 Mechanical failure: Impact score 7 Calculating the Failure Severity Score Convert each inverter fault into an equipment impact score: 2024-01-01 Overheating: 8 points 2024-03-15 Short Circuit: 6 points 2024-05-20 Mechanical failure: 7 points Total: 8 + 6 + 7 = 21 points; Obtain the total number of historical failures and service life Inverter: Total number of historical faults: 3 times Use life: 5 years Preset equipment aging score range Number of failures: 1-3 times, aging score 5 Service life: 1-5 years, aging score 4 Calculating the Aging Score Match the total number of historical faults and service life of the inverter with the preset value range: Number of faults: 3 times, corresponding to an aging score of 5 points Service life: 5 years, corresponding to aging score of 4 points Total: 5 + 4 = 9 points Calculate equipment hidden danger index Inverter: Fault severity score: 21 points Aging rating: 9 points Preset weight coefficients: Fault severity score weight: 0.7 Aging degree score weight: 0.3 Calculate the equipment hidden danger index: Equipment hidden danger index = (21 × 0.7) + (9 × 0.3) = 14.7 + 2.7 = 17.4; Preset corresponding electrical equipment operation evaluation indexes respectively and equipment risk index The value range of each group of indexes is set to the corresponding electrical equipment operation evaluation index and equipment risk index Each index value range of the corresponding negative score; the negative score range is set at -5~-20, which is set by the technicians according to the specific type of electrical equipment; the corresponding electrical equipment operation evaluation index and equipment risk index Matching with the corresponding preset index value ranges respectively, to obtain two groups of negative scores of the corresponding electrical equipment; According to the specific type of the corresponding electrical equipment, the basic score of the corresponding electrical equipment is preset; the basic score is the initial score of the equipment, which can be set to 100; the basic score of the corresponding electrical equipment and the two sets of negative scores are accumulated to obtain the health score of the corresponding electrical equipment; The fault warning module is used to receive the health score of the electrical equipment corresponding to the photovoltaic power station, and based on the comparison result of the health score of the corresponding electrical equipment, trigger the warning signal of the corresponding electrical equipment and send it to the maintenance processing module; Specifically: A passing score for the health score of the corresponding electrical equipment is preset, and the health score calculated for the corresponding electrical equipment is compared with the corresponding preset passing score. If the health score calculated for the corresponding electrical equipment is lower than the preset passing score, an early warning signal is triggered; The maintenance processing module is used to receive the early warning signal of the electrical equipment corresponding to the photovoltaic power station and execute the corresponding steps; Specifically: S1: Identify the specific type of electrical equipment that currently triggers the warning signal, and then obtain the location of the electrical equipment; S2: Draw a circle with the electrical equipment as the center and the distance as the radius, select all maintenance personnel within the circle, and send a position feedback signal to their mobile terminals. After each maintenance personnel confirms the received position feedback signal, obtain the location of each maintenance personnel, and obtain the distance between each maintenance personnel and the electrical equipment, which is recorded as qw; further obtain the work log of each maintenance personnel, extract the historical maintenance data and working years of each maintenance personnel from the work log of each maintenance personnel, and mark the working years of each maintenance personnel as qe; parse the historical maintenance data of each maintenance personnel to obtain the maintenance times of each maintenance personnel, which is recorded as qr; S3: Based on the specific type of the electrical equipment, extract the influence weight factors of the maintenance personnel's travel distance qw, working years qe and maintenance times qr corresponding to the electrical equipment, and calculate the influence weight factors according to the formula Perform weighted calculation to obtain the processing preference value P of each maintenance personnel corresponding to the electrical equipment; wherein yi, mi and fi respectively represent the influence weight factors of the distance qw, working years qe and maintenance times qr when selecting maintenance personnel for the corresponding electrical equipment; S4: Based on the processing preference values ​​P of the electrical equipment corresponding to each maintenance personnel, the maintenance personnel with the largest processing preference value P is selected as the solution personnel, and the health score and location of the electrical equipment are sent to the mobile terminal of the solution personnel, and the maintenance times of the solution personnel are increased by one; The above formulas are obtained by collecting a large amount of data and performing software simulation, and a formula close to the actual value is selected. The influencing weight factor and specific coefficient value in the formula are set by technical personnel in this field according to actual conditions, and can be adjusted and modified later.

[0023] The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. A photovoltaic power station electrical equipment health assessment system, characterized in that: include: Operation collection module: preset the evaluation cycle of health evaluation of each electrical equipment in the photovoltaic power station. The electrical equipment is represented by the number i, where i=1,2...k, and k is the total number of electrical equipment added to the health evaluation. After reaching the preset evaluation cycle, the operation parameters of the corresponding electrical equipment in the photovoltaic power station are collected and sent to the data analysis module; the operation parameters include current, voltage and temperature; Data analysis module: receives and analyzes the operating parameters of the electrical equipment corresponding to the photovoltaic power station, thereby obtaining the operating evaluation index of the electrical equipment corresponding to the photovoltaic power station And the operation evaluation index of the corresponding electrical equipment of the photovoltaic power station Send to health assessment module; Health assessment module: receives the operation assessment index of the electrical equipment corresponding to the photovoltaic power station , and extract and analyze the equipment logs of the corresponding electrical equipment, based on the operation evaluation index of the corresponding electrical equipment The health score of the corresponding electrical equipment is obtained by analyzing the equipment log, and the health score of the corresponding electrical equipment is sent to the fault warning module; Fault warning module: receives the health score of the electrical equipment corresponding to the photovoltaic power station, triggers the warning signal of the corresponding electrical equipment based on the comparison result of the health score of the corresponding electrical equipment, and sends it to the maintenance processing module; Maintenance processing module: receives early warning signals from electrical equipment corresponding to the photovoltaic power station and executes corresponding steps.

2. A photovoltaic power station electrical equipment health assessment system according to claim 1, characterized in that: Receive and analyze the current parameters of the electrical equipment corresponding to the photovoltaic power station, specifically: Obtain the current values ​​collected by the corresponding electrical equipment of the photovoltaic power station at each time point within the set time period, calculate the current values ​​at each time point using the standard deviation formula, and obtain the current fluctuation value of the corresponding electrical equipment within the set time period; Based on the specific type of electrical equipment, a reference value of the current fluctuation value corresponding to each electrical equipment is preset. If the current fluctuation value of the corresponding electrical equipment in the current set time period is greater than the corresponding preset reference value, the maximum value of the current value at each time point is further taken as the current estimation value of the corresponding electrical equipment in the set time period; if the current fluctuation value of the corresponding electrical equipment in the current set time period is less than the corresponding preset reference value, the average value of the current value at each time point is further taken as the current estimation value of the corresponding electrical equipment in the set time period.

3. A photovoltaic power station electrical equipment health assessment system according to claim 2, characterized in that: Receive and analyze the voltage parameters of the electrical equipment corresponding to the photovoltaic power station, specifically: Based on the specific type of electrical equipment, the normal voltage fluctuation range is preset, that is, the voltage fluctuates slightly within a certain range; Obtain the voltage values ​​of the electrical equipment corresponding to the photovoltaic power station at each time point within the set time period, extract the maximum and minimum values ​​from the voltage values ​​at each time point, and calculate the average of the voltage values ​​at each time point; Preset the voltage value of the corresponding electrical equipment in normal operating state as the baseline voltage of the corresponding electrical equipment; Based on the maximum, minimum and average voltage values ​​of the corresponding electrical equipment within the set time period, the formula is used Calculations are performed separately to obtain three groups of deviation percentages of the corresponding electrical equipment within the set time period. If one of the deviation percentages is a negative percentage, the absolute value is taken, and the average of the three groups of deviation percentages is calculated, and the calculated average is used as the voltage estimate of the corresponding electrical equipment within the set time period.

4. A photovoltaic power station electrical equipment health assessment system according to claim 3, characterized in that: Receive and analyze the temperature parameters of the electrical equipment corresponding to the photovoltaic power station, specifically: Obtain the temperature value of the corresponding electrical equipment of the photovoltaic power station at each time point within the set time period, calculate the temperature value at each time point using the standard deviation formula, and obtain the temperature fluctuation value of the corresponding electrical equipment within the set time period; The average value of the temperature values ​​at each time point in the set time period is taken as the average temperature value of the corresponding electrical equipment, and the maximum value is further extracted from the temperature values ​​at each time point in the set time period as the peak temperature value of the corresponding electrical equipment; Based on the specific type of the corresponding electrical equipment, determine the maximum allowable temperature value of the electrical equipment during operation; Calculate the ratios of the temperature mean and temperature peak to the corresponding maximum allowable temperature values ​​respectively to obtain the average ratio and peak ratio. Use the temperature fluctuation value of the corresponding electrical equipment as the height of the three-dimensional cylinder and the accumulated value of the average ratio and the peak ratio as the base radius of the three-dimensional cylinder to construct a three-dimensional cylinder. Obtain the surface area of ​​the three-dimensional cylinder as the temperature estimation of the corresponding electrical equipment.

5. A photovoltaic power station electrical equipment health assessment system according to claim 4, characterized in that: Get the operation evaluation index of the electrical equipment corresponding to the photovoltaic power station , specifically: Extract the current estimation, voltage estimation and temperature estimation of the electrical equipment corresponding to the photovoltaic power station within the set time period and mark them as , as well as ; Based on the specific type of electrical equipment, preset the current estimation of each electrical equipment within the set time period and temperature estimation The maximum allowable value of the voltage is taken as the voltage estimate of the corresponding electrical equipment within the set time period. The maximum permissible value of Estimated current of the corresponding electrical equipment within the set time period , Temperature estimation And voltage estimation The maximum allowed values ​​are marked as , as well as ; According to the formula , estimate the current of each electrical device within a set time period , Temperature estimation And voltage estimation Perform weighted calculation to obtain the operation evaluation index of the electrical equipment corresponding to the photovoltaic power station ;in , as well as Respectively represent the corresponding electrical equipment current estimation , Temperature estimation And voltage estimation The weight factor of influence.

6. A photovoltaic power station electrical equipment health assessment system according to claim 5, characterized in that: Extract the device logs of the corresponding electrical equipment and analyze them, specifically: Obtain historical fault data of the corresponding electrical equipment from the equipment log of the corresponding electrical equipment, the historical fault data including the time of occurrence of the fault, the fault mode and the fault cause; preset equipment impact scores for different fault modes of the corresponding electrical equipment; Classification is performed based on the failure modes corresponding to each failure of the corresponding electrical equipment. After the classification is completed, the equipment impact score of each failure of the corresponding electrical equipment is converted according to the equipment impact score preset for different failure modes of the corresponding electrical equipment. Then the sum of the equipment impact scores of each group of corresponding electrical equipment is taken as the failure degree score of the corresponding electrical equipment.

7. A photovoltaic power station electrical equipment health assessment system according to claim 6, characterized in that: Extract the device logs of the corresponding electrical equipment and analyze them, and further: Obtain the total number of historical failures and service life of the corresponding electrical equipment, preset the value ranges of the corresponding number of historical failures and service life of the electrical equipment, and set each value range of the corresponding number of historical failures and service life of the electrical equipment to correspond to a group of equipment aging scores; Match the total number of historical failures and service life of the corresponding electrical equipment with the corresponding preset value ranges, obtain the equipment aging score corresponding to the total number of historical failures and service life of the corresponding electrical equipment, and add up the two sets of equipment aging scores obtained by matching to obtain the aging degree score of the corresponding electrical equipment; Based on the specific type of the corresponding electrical equipment, the weight coefficients of the fault degree score and the aging degree score are preset respectively, the fault degree score and the aging degree score of the corresponding electrical equipment are multiplied by the corresponding weight coefficients, and then the sum is obtained to obtain the equipment hidden danger index of the corresponding electrical equipment .

8. A photovoltaic power station electrical equipment health assessment system according to claim 7, characterized in that: Based on the operation evaluation index of the corresponding electrical equipment The health score of the corresponding electrical equipment is obtained by analyzing the equipment log, which is as follows: Preset corresponding electrical equipment operation evaluation indexes respectively and equipment risk index The value range of each group of indexes is set to the corresponding electrical equipment operation evaluation index and equipment risk index Each index value range of corresponds to a negative score, which corresponds to the electrical equipment operation evaluation index and equipment risk index Matching with the corresponding preset index value ranges respectively, to obtain two groups of negative scores of the corresponding electrical equipment; According to the specific type of the corresponding electrical equipment, a basic score of the corresponding electrical equipment is preset, and the basic score of the corresponding electrical equipment and the two groups of negative scores are accumulated to obtain a health score of the corresponding electrical equipment.

9. A photovoltaic power station electrical equipment health assessment system according to claim 8, characterized in that: Based on the health score comparison results of the corresponding electrical equipment, the early warning signal of the corresponding electrical equipment is triggered, specifically: A passing score for the health score of the corresponding electrical equipment is preset, and the health score calculated for the corresponding electrical equipment is compared with the corresponding preset passing score. If the health score calculated for the corresponding electrical equipment is lower than the preset passing score, an early warning signal is triggered.

10. A photovoltaic power station electrical equipment health assessment system according to claim 9, characterized in that: Receive the early warning signal of the electrical equipment corresponding to the photovoltaic power station and perform the corresponding steps, specifically: S1: Identify the specific type of electrical equipment that currently triggers the warning signal, and then obtain the location of the electrical equipment; S2: Draw a circle with the electrical equipment as the center and the distance as the radius, select all maintenance personnel within the circle, and analyze the distance qw, working years qe and maintenance times qr of each maintenance personnel; S3: Based on the travel distance qw, working years qe and maintenance times qr of each maintenance personnel in step S2, the processing optimal value P of each maintenance personnel is obtained; S4: First, a position feedback signal is sent to their mobile terminal. After each maintenance personnel confirms the received position feedback signal, the location of each maintenance personnel is obtained, and the distance between each maintenance personnel and the electrical equipment is obtained, which is recorded as qw; further, the work log of each maintenance personnel is obtained, and the historical maintenance data and working years of each maintenance personnel are extracted from the work log of each maintenance personnel, and the working years of each maintenance personnel are marked as qe; the historical maintenance data of each maintenance personnel is parsed to obtain the maintenance times of each maintenance personnel, which is recorded as qr; Based on the specific type of the electrical equipment, the influence weight factors of the maintenance personnel's travel distance qw, working years qe and maintenance times qr corresponding to the electrical equipment are extracted, and the influence weight factors are calculated according to the formula Perform weighted calculation to obtain the processing preference value P of each maintenance personnel corresponding to the electrical equipment; wherein yi, mi and fi respectively represent the influence weight factors of the distance qw, working years qe and maintenance times qr when selecting maintenance personnel for the corresponding electrical equipment; S5: Based on the processing preference value P of each maintenance personnel corresponding to the electrical equipment, the maintenance personnel with the largest processing preference value P is selected as the solution personnel, and the health score and location of the electrical equipment are sent to the solution personnel's mobile terminal, and the maintenance times of the solution personnel are increased by one.

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