A photovoltaic power station inspection system
By combining the fault analysis module and the data control module, the photovoltaic power station inspection system achieves accurate data compression and rapid fault analysis, solving the problems of long data decompression time and resource waste in the existing technology, and improving operation and maintenance efficiency.
Patent Information
- Application Number
- CN202510787277.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-06-13
- Publication Date
- 2025-12-12
- Estimated Expiration
- 2045-06-13
AI Technical Summary
In existing photovoltaic power plant inspection systems, the decompression process of periodically compressed data is time-consuming, and the decompressed data may contain data that has no analytical value, making it difficult to meet the needs of rapid fault analysis and accurate operation and maintenance.
The fault analysis module analyzes the fault diagnosis data and determines the backtracking time data. The data master control module sets the compression master control cycle and compression time interval with the receiving time as the starting point, and performs segmented compression storage of the running data. Only the compressed data related to the fault type and associated equipment is decompressed.
It shortens the decompression time for fault analysis, avoids wasting computational resources on irrelevant data, and improves the efficiency of fault analysis.
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Figure CN120338766B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the technical field of photovoltaic technology, in particular to a photovoltaic power station inspection system. BACKGROUND
[0002] The photovoltaic power station includes core power equipment such as photovoltaic modules, inverters, transformers, and combiner boxes. These devices generate a large amount of real-time monitoring data during operation. Such data usually needs to be stored for at least 5-10 years to meet the needs of device life cycle management, fault tracing, and performance evaluation.
[0003] Currently, to reduce storage costs and transmission pressure, existing inspection systems generally use data compression technology to process historical data. Periodic compression is a common method, which involves batch compressing accumulated operation data at fixed time intervals and then archiving them to low-cost storage media. Although this method can effectively reduce storage space usage, in actual operation and maintenance, when power equipment fails, operation and maintenance personnel need to extract key parameters before the failure to analyze the root cause of the failure.
[0004] However, data compressed periodically needs to be decompressed before it can be called. In the face of sudden equipment failure, the decompression process inevitably takes a long time, and the decompressed data may contain data with no analysis value. Decompressing such data not only wastes decompression resources but also makes it difficult to meet the needs of rapid fault analysis and accurate operation and maintenance.
[0005] To solve the above problems, the present application provides a solution. SUMMARY
[0006] The purpose of the present application is to provide a photovoltaic power station inspection system to solve the problems raised in the background.
[0007] The present application provides a photovoltaic power station inspection system, comprising:
[0008] A fault analysis module for analyzing fault diagnosis data of a plurality of power equipment of a target photovoltaic power station, determining the backtracking time length data of the plurality of power equipment of the target photovoltaic power station, and containing fault types, fault data segments, and a plurality of power equipment and their abnormal data segments in the fault diagnosis data.
[0009] An inspection integration module for real-time acquisition of operation data of a plurality of power equipment of a target photovoltaic power station.
[0010] A data master control module for storing real-time transmission of operation data of a plurality of power equipment of a target photovoltaic power station.
[0011] The data total control module is also configured to, after receiving the backtracking duration data of the plurality of power equipment of the target photovoltaic power station, determine a compression total control period of the plurality of power equipment and a plurality of compression time intervals of the compression total control period, taking the receiving time as a starting point time.
[0012] The data total control module is also configured to, according to the determined compression total control period of the plurality of power equipment and the plurality of compression time intervals of the compression total control period, segmentally compress and store the operation data transmitted by the plurality of power equipment within the corresponding compression total control period.
[0013] Further, the data total control module determines the compression total control period of the plurality of power equipment and the plurality of compression time intervals of the compression total control period, taking the receiving time as a starting point time, as follows:
[0014] S21: Extract all backtracking analysis durations of the power equipment Z1 from the received backtracking duration data of all power equipment of the target photovoltaic power station;
[0015] S22: Mark the extracted all backtracking analysis durations of the power equipment Z1 as H1, H2,..., Hh in turn according to the order from small to large, and 1≤h≤z;
[0016] S23: Determine the compression total control period of the power equipment Z1 according to the backtracking analysis duration Hh, that is, the interval duration of the compression total control period of the power equipment Z1 is Hh;
[0017] S24: Obtain one compression time interval of the compression total control period by combining the starting point time I1 and the backtracking analysis duration H1, at this time, the compression time interval is [I1+Hh-H1, I1+Hh], and the compression time intervals [I1+Hh-H2, I1+Hh-H1), [I1+Hh-H3, I1+Hh-H2),..., [I1+Hh-Hh, I1+Hh-Hh-1] are obtained in turn.
[0018] Further, in S21, the backtracking analysis duration includes the backtracking analysis duration of the power equipment Z1 relative to the plurality of power equipment based on a plurality of fault types, and the backtracking analysis duration of the power equipment Z1 based on a plurality of fault types.
[0019] Further, according to the determined compression total control period of one power equipment and the plurality of compression time intervals of the compression total control period, the operation data transmitted by the power equipment within the corresponding compression total control period is segmentally compressed as follows:
[0020] S31: Mark all compression time intervals of the compression total control period as K1, K2,..., Kk, respectively, and k≥1;
[0021] S32: according to the compression time interval K1, the operation data of the power equipment is compressed to obtain the compressed operation data of the power equipment in the compression time interval K1, and the content is as follows:
[0022] Based on the start time and the end time of the compression time interval K1, after receiving the operation data of the power equipment collected at the end time, all operation data of the power equipment collected from the start time to the end time is compressed once, and the compressed data is stored as the compressed operation data of the power equipment in the compression time interval K1.
[0023] S33: according to S32, the operation data of the power equipment is compressed according to the compression time interval K2, K3,..., Kk in turn, and the corresponding compressed operation data of the power equipment in the compression time interval K2, K3,..., Kk is obtained and stored.
[0024] Further, the data total control module stores the preset compression interval length of all power equipment of the target photovoltaic power station when the backtracking length data of the power equipment of the target photovoltaic power station is not received.
[0025] Compared with the prior art, the following beneficial effects are achieved:
[0026] The fault analysis module analyzes the fault data segment in the fault diagnosis data of the plurality of power equipment and the abnormal data segment of the plurality of power equipment, in the analysis process, based on the fault type of different power equipment and the plurality of power equipment related to the fault type, the corresponding backtracking analysis time is calculated, and based on this, the compression total control period and the plurality of compression time intervals are set for different power equipment in combination with the plurality of fault types in the fault process of the power equipment, based on different compression time intervals, the operation data of the corresponding power equipment in one compression total control period is segmented and compressed, in this way, the compression granularity is accurately matched with the data granularity required by fault backtracking, and the efficiency of fault analysis is improved;
[0027] The compression total control period is divided into a plurality of compression time intervals, the system segments and independently compresses the operation data in each interval, when a fault occurs, the operation and maintenance personnel only need to call and decompress the compressed operation data in the compression time interval corresponding to the fault type and the associated equipment, without decompressing the full amount of historical data, which greatly shortens the decompression time during analysis, and avoids the waste of computing resources caused by decompression of irrelevant data. BRIEF DESCRIPTION OF DRAWINGS
[0028] Figure 1 The system block diagram of the present application is shown. DETAILED DESCRIPTION
[0029] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0030] Please see Figure 1 This application provides a photovoltaic power plant inspection system, including an inspection integration module, a data control module, and a fault analysis module;
[0031] The fault analysis module is used to analyze the fault diagnosis data of several power equipment in the target photovoltaic power station. The fault analysis module stores the fault diagnosis data of several power equipment in the target photovoltaic power station.
[0032] The fault diagnosis data of a power equipment includes the fault type, fault data segment, and several power equipment and its abnormal data segments.
[0033] When a power equipment fails, the management personnel of the target photovoltaic power station use a fault diagnosis model and analyze the operating data of several power equipment within a fixed period to determine the fault type corresponding to the current failure. At the same time, starting from the time of the failure, they backtrack and extract several consecutive operating data points that can reflect the fault type from the operating data of the power equipment and the several power equipment, which are located before the time of the failure. These data points are used as the fault data segment and several abnormal data segments of the power equipment for this failure, respectively, to generate a fault diagnosis data for the power equipment.
[0034] The fault diagnosis model can analyze the operating data of power equipment, extract fault features, quickly identify fault types, locate abnormal data segments, and provide fault diagnosis results.
[0035] The fault analysis module is used to analyze fault diagnosis data of several power devices stored in the target photovoltaic power station. The analysis steps are as follows:
[0036] S11: Label all electrical equipment in the target photovoltaic power station as Z1, Z2, ..., Zz, z≥1, and select electrical equipment Z1 as the equipment to be analyzed;
[0037] S12: Retrieve all fault diagnosis data of the device to be analyzed from the fault analysis module, and label them as A1, A2, ..., Aa, where a≥1.
[0038] S13: Traverse the fault diagnosis data A1, A2,..., Aa, extract all abnormal data segments contained therein corresponding to the power equipment, and de-duplicate all the extracted power equipment, and mark the remaining all power equipment after de-duplication as B1, B2,..., Bb, b≥1 respectively;
[0039] extract all fault types contained in the fault diagnosis data A1, A2,..., Aa, and de-duplicate all the extracted fault types, and mark the remaining all fault types after de-duplication as Y1, Y2,..., Yy, 1≤y≤a respectively;
[0040] S14: According to the fault diagnosis data A1, A2,..., Aa, the backtracking analysis time length of the power equipment B1 relative to the device to be analyzed based on the fault type Y1 is calculated according to the preset calculation rule, and the calculation rule is as follows:
[0041] S141: Extract all fault diagnosis data containing fault type Y1 and power equipment B1 from the abnormal data segment in the fault diagnosis data A1, A2,..., Aa, and re-label them as C1, C2,..., Cc, 1≤c≤a respectively;
[0042] S142: Determine the interval time length D1 of the abnormal data segment of the power equipment B1 contained in the fault diagnosis data C1 according to the interval time length of the two adjacent running data in the abnormal data segment, wherein the calculation method of the interval time length C1 is to add the interval time length of the two adjacent running data in the abnormal data segment;
[0043] S143: Determine the interval time length D2, D3,..., Dc of the abnormal data segment of the power equipment B1 contained in the fault diagnosis data C2, C3,..., Cc according to S142;
[0044] S144: Calculate the deviation E1 of the interval time length D1, D2,..., Dc by using the formula Compare E1 and E, wherein E is a preset standard deviation, and in the formula, D is the average value of the interval time length D1, D2,..., Dc, De represents each of the interval time length D1, D2,..., Dc, e is a subscript from 1 to c in De, used to locate and refer to a specific element in the interval time length sequence, and its essence is to use variable indexing to let De represent any value in D1 to Dc;
[0045] If E1>E, the corresponding De is deleted in order of |De-D| from large to small, and the dispersion E1 of the remaining De is calculated. E1 and E are compared again, until E1≤E. The average of all interval durations participating in the calculation of E1 at this time is obtained, and the average is taken as the backtracking analysis duration of power equipment B1 relative to the to-be-analyzed equipment based on fault type Y1;
[0046] S15: According to S14, the backtracking analysis duration of power equipment B2, B3,..., Bb relative to the to-be-analyzed equipment based on fault type Y1 is calculated and obtained in sequence according to fault diagnosis data A1, A2,..., Aa;
[0047] S16: The fault data segments of the to-be-analyzed equipment are extracted from fault diagnosis data C1, C2,..., Cc in sequence and the corresponding interval durations are determined, which are marked as F1, F2,..., Fa respectively;
[0048] The dispersion G1 of interval durations F1, F2,..., Fa is calculated using the formula G1 and G are compared in size, where G is a standard dispersion threshold of the interval duration of the to-be-analyzed equipment, and F is the average of interval durations F1, F2,..., Fa, Ff represents each of interval durations F1, F2,..., Fa, and f is a subscript from 1 to a in Ff, which is used to locate and refer to a specific element in the interval duration sequence. The essence is to use a variable index to make Ff represent any value from F1 to Fa;
[0049] If G1>G, the corresponding Ff is deleted in order of |Ff-F| from large to small, and the dispersion G1 of the remaining Ff is calculated. G1 and G are compared again, until G1≤G. The average of all interval durations participating in the calculation of G1 at this time is obtained, and the average is taken as the backtracking analysis duration of the to-be-analyzed equipment based on fault type Y1;
[0050] S17: The backtracking analysis duration of power equipment B1 relative to the to-be-analyzed equipment based on fault types Y2, Y3,..., Yy is calculated and obtained in sequence according to S14 to S16;
[0051] S18: The backtracking analysis duration of power equipment B2, B3,..., Bb relative to the to-be-analyzed equipment based on fault types Y1, Y2,..., Yy respectively, and the backtracking analysis duration of power equipment B2, B3,..., Bb based on fault types Y1, Y2,..., Yy are calculated and obtained in sequence according to S13 to S17;
[0052] According to the calculated power equipment B1, B2,..., Bb relative to the analysis equipment based on the fault type Y1, Y2,..., Yy backtracking analysis time length and the analysis equipment based on the fault type Y1, Y2,..., Yy backtracking analysis time length, the backtracking time length data of the analysis equipment is generated;
[0053] S19: sequentially select power equipment Z2, Z3,..., Zz as the analysis equipment, and sequentially generate the backtracking time length data of the power equipment Z2, Z3,..., Zz according to S12 to S18;
[0054] The fault analysis module transmits the generated backtracking time length data of all power equipment of the target photovoltaic power station to the data total control module;
[0055] The inspection integration module is used for real-time inspection of the running state of a plurality of power equipment of the target photovoltaic power station, and the inspection integration module acquires the running data of the plurality of power equipment of the target photovoltaic power station in real time and transmits it to the data total control module;
[0056] The data total control module temporarily stores the transmitted real-time running data of the plurality of power equipment of the target photovoltaic power station, and the data total control module stores the compression interval time length of all power equipment of the target photovoltaic power station;
[0057] The data total control module compresses the stored running data of the corresponding power equipment of the target photovoltaic power station every interval time length to obtain the running compression data of the corresponding power equipment of the compression period target photovoltaic power station, wherein the compression interval time length of all power equipment in the target photovoltaic power station is pre-set by the management personnel, and the compression interval time length of all power equipment in the target photovoltaic power station is not completely the same;
[0058] The data total control module receives the transmitted backtracking time length data of all power equipment of the target photovoltaic power station, deletes the stored compression interval time length of all power equipment of the target photovoltaic power station, and determines the compression total control period of each power equipment of the target photovoltaic power station and a plurality of compression time intervals of the compression total control period, taking the time point when the backtracking time length data of all power equipment of the target photovoltaic power station is received as the starting point, and the steps are as follows:
[0059] S21: extract all backtracking analysis time lengths of the power equipment Z1 from the received backtracking time length data of all power equipment of the target photovoltaic power station, wherein the backtracking analysis time length includes the backtracking analysis time length of the power equipment Z1 relative to a plurality of power equipment based on a plurality of fault types, and the backtracking analysis time length of the power equipment Z1 based on a plurality of fault types;
[0060] S22: label all the backtracking analysis time lengths of the extracted power equipment Z1 in order of small to large values as H1, H2,..., Hh, 1≤h≤z;
[0061] S23: determine the compression total control period of the power equipment Z1 according to the backtracking analysis time length Hh, i.e. the interval length of the compression total control period of the power equipment Z1 is Hh;
[0062] S24: obtain one compression time interval of the compression total control period according to the starting point I1 and the backtracking analysis time length H1, at this time the compression time interval is [I1+Hh-H1, I1+Hh], and the compression time intervals [I1+Hh-H2, I1+Hh-H1), [I1+Hh-H3, I1+Hh-H2),..., [I1+Hh-Hh, I1+Hh-Hh-1] are obtained in turn, it is to be noted that in the compression time interval [I1+Hh-H1, I1+Hh] I1+Hh-H1 is the starting time and I1+Hh is the ending time, and the starting time and the ending time in the compression time intervals [I1+Hh-H2, I1+Hh-H1), [I1+Hh-H3, I1+Hh-H2),..., [I1+Hh-Hh, I1+Hh-Hh-1] are the same, it is to be noted that in the compression time interval, “[”, “]” are closed interval symbols, which means that the end points are included, “(”, “)” are open interval symbols, which means that the end points are not included, for example, the compression time interval [I1+Hh-H2, I1+Hh-H1) means between I1+Hh-H2 and I1+Hh-H1, including I1+Hh-H2 but not including I1+Hh-H1;
[0063] For any power equipment, the steps of segmenting and compressing the operation data transmitted by the power equipment in the corresponding compression total control period according to the determined compression total control period of the power equipment and the compression time intervals of the compression total control period are as follows:
[0064] S31: label all the compression time intervals of the compression total control period as K1, K2,..., Kk, k≥1;
[0065] S32: compress the operation data of the power equipment according to the compression time interval K1 to obtain the compressed operation data of the power equipment in the compression time interval K1, the content is as follows:
[0066] Based on the start time and the end time of the compression time interval K1, after the operation data of the power equipment collected at the end time is received, all the operation data of the power equipment collected from the start time to the end time is compressed once, and the compressed data is stored as the compressed operation data of the power equipment in the compression time interval K1.
[0067] S33: According to S32, the operation data of the power equipment is compressed according to the compression time intervals K2, K3,..., Kk in turn, and the compressed operation data of the power equipment in the compression time intervals K2, K3,..., Kk is obtained, which is stored.
[0068] When all the operation data of all the power equipment of the target substation collected in the compression total control period is compressed and stored, the data total control module determines the compression total control period of each power equipment of the target photovoltaic power station and the compression time intervals of the compression total control period again according to the steps S21 to S24. At this time, the start time of the compression total control period of each power equipment is determined as the time point corresponding to the start point time when the backtracking time length data of all the power equipment of the target photovoltaic power station is added to the interval time length of the compression total control period of the power equipment.
[0069] In this application, the operation data of the power equipment is segmented and compressed for storage after the compression total control period and the compression time intervals of the compression total control period of the power equipment are determined, and the process is continued to segment and compress the operation data of the power equipment for storage.
[0070] Some data in the above formula are dimensionless for numerical calculation, and the contents not described in detail in the specification belong to the prior art known to those skilled in the art.
[0071] The above embodiments are only used to illustrate the technical method of the application and are not limited. Although the application is described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical method of the application can be modified or replaced equivalently without departing from the spirit and scope of the technical method of the application.
Claims
1. A photovoltaic power station inspection system, characterized in that, Comprise: Fault analysis module, for analyzing the fault diagnosis data of several power equipment of the target photovoltaic power station, determining the backtracking time length data of several power equipment of the target photovoltaic power station, the fault diagnosis data contains fault type, fault data segment and several power equipment and its abnormal data segment; Inspection integration module, for real-time acquisition of the operation data of several power equipment of the target photovoltaic power station; Data total control module, for storing the operation data of several power equipment of the target photovoltaic power station transmitted in real time; The data total control module is also used for determining the compression total control period of several power equipment and several compression time intervals of the compression total control period after receiving the backtracking time length data of several power equipment of the target photovoltaic power station, taking the receiving time as the starting point time, and the compression total control period of the power equipment Z1 is determined by the following steps: S21: extracting all backtracking analysis time lengths of the power equipment Z1 from the received backtracking time length data of all power equipment of the target photovoltaic power station; S22: according to the order from small to large, the extracted all backtracking analysis time lengths of the power equipment Z1 are marked as H1, H2,..., Hh, 1≤h≤z; S23: according to the backtracking analysis time length Hh, the compression total control period of the power equipment Z1 is determined, that is, the interval time length of the compression total control period of the power equipment Z1 is Hh; S24: Obtain a compression time interval of the compression total control cycle by combining the starting point moment I1 and the backtracking analysis duration H1, at this time the compression time interval is [I1+Hh-H1, I1+Hh], and the compression time intervals [I1+Hh-H2, I1+Hh-H1), [I1+Hh-H3, I1+Hh-H2),..., [I1+Hh-Hh, I1+Hh-Hh-1) are obtained in turn. -1 ] The data total control module is also used for segmenting and compressing the operation data of several power equipment transmitted in the corresponding compression total control period according to the determined compression total control period of several power equipment and several compression time intervals of the compression total control period, and the compression is realized by the following steps: S31: all compression time intervals of the compression total control period are marked as K1, K2,..., Kk, k≥1; S32: according to the compression time interval K1, the operation data of the power equipment is compressed to obtain the compression operation data of the power equipment in the compression time interval K1, and the power equipment is one of the several power equipment, and the content is as follows: Based on the start time and end time of the compression time interval K1, after receiving the operation data of the power equipment collected at the end time, all operation data of the power equipment collected from the start time to the end time is compressed once, and the compressed data is stored as the compression operation data of the power equipment in the compression time interval K1; S33: according to S32, the operation data of the power equipment is compressed according to the compression time interval K2, K3,..., Kk in turn to obtain the compression operation data of the power equipment in the compression time interval K2, K3,..., Kk, and the compression operation data is stored.
2. The photovoltaic power station inspection system according to claim 1, characterized in that, The steps of determining the backtracking time length data of several power equipment of the target photovoltaic power station are as follows: S11: all power equipment of the target photovoltaic power station are marked as Z1, Z2,..., Zz, z≥1, and the power equipment Z1 is selected as the device to be analyzed; S12: all fault diagnosis data of the device to be analyzed are obtained from the fault analysis module and marked as A1, A2,..., Aa, a≥1, S13: Traverse the fault diagnosis data A1, A2,..., Aa, extract all abnormal data segments contained therein corresponding to the power equipment, and remove the duplicates of all the extracted power equipment, and mark the remaining all power equipment after deduplication as B1, B2,..., Bb, b≥1; extract all fault types contained in the fault diagnosis data A1, A2,..., Aa, and remove the duplicates of all the extracted fault types, and mark the remaining all fault types after deduplication as Y1, Y2,..., Yy, 1≤y≤a; S14: According to the fault diagnosis data A1, A2,..., Aa, the calculation rule is calculated to obtain the backtracking analysis time length of the power equipment B1 relative to the to-be-analyzed device based on the fault type Y1, and the calculation rule is as follows: S141: Extract all fault diagnosis data containing fault type Y1 and power equipment B1 from the abnormal data segment in the fault diagnosis data A1, A2,..., Aa, and mark them as C1, C2,..., Cc, respectively, 1≤c≤a; S142: Determine the interval time length D1 of the abnormal data segment of the power equipment B1 contained in the fault diagnosis data C1 according to the interval time length of the two adjacent operation data; S143: Determine the interval time length D2, D3,..., Dc of the abnormal data segment of the power equipment B1 contained in the fault diagnosis data C2, C3,..., Cc according to S142; S144: calculate the deviation E1 of the interval durations D1, D2,..., Dc using the formula calculate the deviation E1 of the interval durations D1, D2,..., Dc, and compare E1 with E, where E is a preset standard deviation, and D is the average of the interval durations D1, D2,..., Dc. If E1>E, then according to the order of |De-D| from large to small, the corresponding De is deleted and the dispersion E1 of the remaining De is calculated, and E1 and E are compared again, until E1≤E, the average value of all interval time lengths participating in the calculation of E1 at this time is obtained, and the average value is taken as the backtracking analysis time length of the power equipment B1 relative to the to-be-analyzed device based on the fault type Y1; S15: According to S14, the backtracking analysis time length of the power equipment B2, B3,..., Bb relative to the to-be-analyzed device based on the fault type Y1 is calculated according to the fault diagnosis data A1, A2,..., Aa; S16: Extract the fault data segment of the to-be-analyzed device from the fault diagnosis data C1, C2,..., Cc in turn and determine the corresponding interval time length, and mark them as F1, F2,..., Fa, respectively; The formula is as follows: The dispersion G1 of the interval durations F1, F2,..., Fa is calculated, and G1 and G are compared in size, where G is a preset standard dispersion threshold of the interval durations of the device to be analyzed, and F is the average value of the interval durations F1, F2,..., Fa. If G1>G, then according to the order of |Ff-F| from large to small, the corresponding Ff is deleted and the dispersion G1 of the remaining Ff is calculated, and G1 and G are compared again, until G1≤G, the average value of all interval time lengths participating in the calculation of G1 at this time is obtained, and the average value is taken as the backtracking analysis time length of the to-be-analyzed device based on the fault type Y1; S17: According to S14 to S16, the backtracking analysis time length of the power equipment B1 relative to the to-be-analyzed device based on the fault type Y2, Y3,..., Yy is calculated; S18: calculating the backtracking analysis time length of the power equipment B2, B3,..., Bb relative to the to-be-analyzed equipment based on the fault type Y1, Y2,..., Yy in sequence according to S13 to S17, and the backtracking analysis time length of the power equipment B2, B3,..., Bb based on the fault type Y1, Y2,..., Yy; generating the backtracking time length data of the to-be-analyzed equipment according to the backtracking analysis time length of the power equipment B1, B2,..., Bb relative to the to-be-analyzed equipment based on the fault type Y1, Y2,..., Yy and the backtracking analysis time length of the to-be-analyzed equipment based on the fault type Y1, Y2,..., Yy; S19: selecting the power equipment Z2, Z3,..., Zz in sequence as the to-be-analyzed equipment, and generating the backtracking time length data of the power equipment Z2, Z3,..., Zz in sequence according to S12 to S18.
3. The photovoltaic power station inspection system according to claim 1, characterized in that, In S21, the backtracking analysis time length includes the backtracking analysis time length of the power equipment Z1 relative to several power equipments based on several fault types and the backtracking analysis time length of the power equipment Z1 based on several fault types.
4. The photovoltaic power station inspection system according to claim 1, characterized in that, The data total control module has the preset compression interval time length of all the power equipments of the target photovoltaic power station stored in the memory when the backtracking time length data of the several power equipments of the target photovoltaic power station is not received.
Citation Information
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