Photovoltaic operation and maintenance management system and method

Abstract

The present invention relates to the field of photovoltaic operation and maintenance management technology, specifically to a photovoltaic operation and maintenance management system and method, the system includes a risk state prediction module, the data aggregation terminal of the risk state prediction module aggregates the photovoltaic panel state characteristic information collected by the sensor, and combines the changes in the state characteristic information of the corresponding photovoltaic panel in the historical data to predict the risk state characteristic information of each photovoltaic panel within a unit time. While the present invention monitors the dust accumulated on the surface of the photovoltaic panel through the sensor to determine whether the photovoltaic panel needs to be operated, it also takes into account the differences between different photovoltaic panels and the interference of the actual state differences of the photovoltaic panels on the execution time of the photovoltaic panel operation and maintenance operations, realizes the fitting of the photovoltaic panel hot spot risk probability distribution map in the test area, accurately locks and constructs the photovoltaic panel hot spot risk distribution map in the test area, and realizes the effective control of photovoltaic operation and maintenance data.

Description

Technical Field

[0001] The present invention relates to the technical field of photovoltaic operation and maintenance management, and in particular to a photovoltaic operation and maintenance management system and method. Background Art

[0002] Photovoltaic power generation, as an important part of clean energy, has broad development prospects. In recent years, governments of various countries have introduced policies to encourage the development of photovoltaic power generation, which has promoted the rapid growth of the industry.

[0003] However, as the photovoltaic panels used in the photovoltaic power generation process change over time, dust will gradually accumulate on their surface. The dust accumulated on the photovoltaic panels will not only block the sunlight, reduce the transmittance of the glass on the surface of the photovoltaic panels, reduce the amount of solar radiation shining on the surface of the photovoltaic panels, and affect the power generation efficiency, but also the obstruction of dust will cause uneven temperature distribution on the surface of the photovoltaic panels, increasing the possibility of hot spot formation. Therefore, in order to avoid dust accumulation on the photovoltaic panels, it is necessary to perform operation and maintenance management operations on the photovoltaic panels.

[0004] The existing photovoltaic operation and maintenance management systems either adopt a regular operation and maintenance method, or directly use sensors to monitor the dust accumulation on the surface of the photovoltaic panels to determine whether operation and maintenance operations need to be performed on the photovoltaic panels. Both existing methods have major defects. On the one hand, the regular operation and maintenance method cannot accurately determine the operation and maintenance needs based on the actual status of the photovoltaic panels, resulting in the drawbacks of wasting resources or untimely operation and maintenance; on the other hand, the existing technology directly determines the operation and maintenance timing based on the dust accumulation of the photovoltaic panels, without taking into account the differences between different photovoltaic panels. Different orientations or tilt angles of photovoltaic panels will lead to large differences in the dust accumulation on their surfaces. Therefore, the existing technology has a large deviation in the method of judging the operation and maintenance timing. Summary of the invention

[0005] The object of the present invention is to provide a photovoltaic operation and maintenance management system and method to solve the problems raised in the above background technology.

[0006] In order to solve the above technical problems, the present invention provides the following technical solutions: a photovoltaic operation and maintenance management method, the method comprising the following steps:

[0007] S1. Using sensors to collect status characteristic information of each photovoltaic panel in the area to be measured in real time, wherein the status characteristic information of the photovoltaic panel includes characteristic information of the orientation of the photovoltaic panel and characteristic information of dust accumulation on the surface of the photovoltaic panel;

[0008] S2. The data aggregation terminal aggregates the photovoltaic panel status characteristic information collected by the sensor, and combines the changes in the status characteristic information of the corresponding photovoltaic panels in the historical data to predict the risk status characteristic information of each photovoltaic panel within a unit time; the unit time is a manually preset value;

[0009] S3. Combine the hot spot positions of photovoltaic panels in historical data with the dust accumulation characteristic information on the surfaces of the corresponding photovoltaic panels, and analyze the correlation between the dust accumulation characteristic information on the surfaces of photovoltaic panels and the hot spot risk; and combine the risk status characteristic information of each photovoltaic panel within a unit time to fit the hot spot risk probability distribution map of photovoltaic panels in the test area; combine the hot spot risk probability distribution map in the previous operation and maintenance cycle to generate the hot spot risk confidence probability at the current time, and construct the hot spot risk distribution map of photovoltaic panels in the test area;

[0010] S4. Based on the risk distribution map of hot spots of photovoltaic panels in the area to be tested, a photovoltaic panel inspection planning route is generated and fed back to the operation and maintenance warning display terminal.

[0011] Furthermore, the photovoltaic panel orientation characteristic information includes the orientation of the corresponding photovoltaic panel and the angle between the corresponding photovoltaic panel and the ground;

[0012] The dust accumulation characteristic information on the surface of the photovoltaic panel is the average thickness of the dust accumulated on the corresponding photovoltaic panel at the corresponding time point.

[0013] The present invention collects the orientation characteristic information of photovoltaic panels based on the consideration that in order to improve the power generation efficiency of photovoltaic panels in the prior art, some photovoltaic panels are equipped with automatic control devices, which can automatically adjust the orientation and tilt angle of the photovoltaic panels according to the sunlight conditions, while also affecting the dust accumulation on the surface of the photovoltaic panels. Because this part of data is acquired during the data collection stage, it provides data support for predicting the risk status characteristic information of each photovoltaic panel per unit time in the subsequent steps.

[0014] Furthermore, when predicting the risk status characteristic information of each photovoltaic panel within a unit time, the summary result of the photovoltaic panel status characteristic information by the data summary terminal is obtained, and the i-th photovoltaic panel status characteristic information corresponding to the current time in the summary result is recorded as Ai;

[0015] Obtain the change of the state characteristic information of the i-th photovoltaic panel in the historical data, extract the change period of the photovoltaic panel orientation characteristic information in the photovoltaic panel state characteristic information in the historical data, and record the change period of the photovoltaic panel orientation characteristic information in the state characteristic information of the i-th photovoltaic panel as Ti; the value of Ti is equal to the average value of the time interval between any two adjacent photovoltaic panel orientation characteristic information based on the i-th photovoltaic panel in the historical data, and the corresponding value is greater than the first preset value;

[0016] The dust accumulation characteristic information on the surface of the photovoltaic panel corresponding to each time point in the previous change cycle Ti based on the current time in the historical data is intercepted to obtain the i-th reference segment; the segment consisting of the difference between the dust accumulation characteristic information on the surface of the photovoltaic panel corresponding to each time point in the i-th reference segment and the dust accumulation characteristic information on the surface of the photovoltaic panel corresponding to the minimum time point in the i-th reference segment is recorded as the i-th reference period change segment;

[0017] The risk state characteristic information of the ith photovoltaic panel in a unit time is obtained, which is recorded as RSi. The RSi is the maximum value of the dust accumulation characteristic information on the surface of the photovoltaic panel corresponding to the ith photovoltaic panel at each time point in a unit time.

[0018] , where TD represents the value corresponding to unit time; is the dust accumulation characteristic information on the surface of the photovoltaic panel corresponding to the i-th photovoltaic panel at the time point tr in unit time; max{} represents the operation of finding the maximum value;

[0019] Calculate tr based on the predicted feature pair of the i-th photovoltaic panel, denoted as (a, b); the (a, b) satisfies tr=a·Ti-b, and a≥1, 0≤b<Ti,

[0020] ,

[0021] Among them, F i {t} represents the dust accumulation characteristic information on the photovoltaic panel surface corresponding to the minimum time point in the corresponding reference segment in the i-th reference period variation segment; AC i Represents the characteristic information of dust accumulation on the surface of photovoltaic panels in Ai.

[0022] In the present invention, the risk state characteristic information RSi of the ith photovoltaic panel within a unit time is obtained, and the maximum value of the dust accumulation characteristic information on the photovoltaic panel surface corresponding to the ith photovoltaic panel at each time point within the unit time is selected, rather than the dust accumulation characteristic information on the photovoltaic panel surface corresponding to the maximum time point. This is because changes in the orientation of the photovoltaic panel and the angle between the photovoltaic panel and the ground may affect the dust accumulation on the surface of the photovoltaic panel, thereby reducing the dust accumulation thickness.

[0023] Furthermore, when analyzing the correlation between the dust accumulation characteristic information on the photovoltaic panel surface and the hot spot risk, the dust accumulation characteristic information on the photovoltaic panel surface corresponding to the photovoltaic panel to which each hot spot appears in the historical data is obtained, and a hot spot associated dust accumulation characteristic array is constructed, which is recorded as [ACR 1 , ACR 2 , ..., ACR n , ..., ACR n1-1 , ACRn1 ], where ACR n Indicates the dust accumulation characteristic information on the photovoltaic panel surface corresponding to the photovoltaic panel to which the nth hot spot recorded in the historical data belongs; n1 indicates the total number of hot spots recorded in the historical data;

[0024] Combined with different photovoltaic panel surface dust accumulation characteristic information intervals with equal interval lengths preset in the data, the elements in the hot spot associated dust accumulation characteristic array are screened and matched, and divided into corresponding photovoltaic panel surface dust accumulation characteristic information intervals;

[0025] Construct different hot spot interval density association data pairs, wherein the first value in the hot spot interval density association data pair is the midpoint of the dust accumulation characteristic information interval on the surface of the corresponding photovoltaic panel; the second value in the hot spot interval density association data pair is the quotient obtained by dividing the number of elements in the hot spot associated dust accumulation feature array matched in the corresponding photovoltaic panel surface dust accumulation characteristic information interval by the total number of elements in the hot spot associated dust accumulation feature array and the interval length of the corresponding photovoltaic panel surface dust accumulation characteristic information interval; each hot spot interval density association data pair corresponds to a photovoltaic panel surface dust accumulation characteristic information interval;

[0026] In the fitting software, The function fitting result of each hot spot interval density correlation data pair obtained by the function model is used as the correlation relationship between the dust accumulation characteristic information on the photovoltaic panel surface and the hot spot risk, which is recorded as fg(x). The d1, d2, d3 and d4 are all constants and d1>0.

[0027] Furthermore, in the process of fitting the hot spot risk probability distribution map of photovoltaic panels in the test area, the hot spot risk probability corresponding to the i-th photovoltaic panel in the test area is recorded as RB i , , where fg(x1) represents the function value of fg(x) corresponding to the dust accumulation characteristic information on the surface of the photovoltaic panel being x1; the hot spot risk probability corresponding to each photovoltaic panel in the test area is obtained, and the hot spot risk probability corresponding to the corresponding photovoltaic panel is marked in the photovoltaic panel distribution map in the test area, and the fitting result of the hot spot risk probability distribution map of the photovoltaic panels in the test area is obtained;

[0028] When generating the hot spot risk certainty probability at the current time, the operation and maintenance results in the last operation and maintenance cycle are obtained, the location where the hot spot appears in the operation and maintenance results is extracted, and the hot spot risk probability corresponding to the extracted hot spot location is marked in the hot spot risk probability distribution map of the photovoltaic panels in the corresponding test area during the operation and maintenance process, and the minimum value of the marked hot spot risk probability is recorded as the hot spot risk certainty probability at the current time;

[0029] When constructing the hot spot risk distribution map of photovoltaic panels in the test area, all photovoltaic panel areas in the hot spot risk probability distribution map of photovoltaic panels in the test area corresponding to hot spot risk probabilities greater than or equal to the hot spot risk certainty probability at the current time are extracted to obtain the hot spot risk distribution map of photovoltaic panels in the test area.

[0030] Furthermore, when generating the photovoltaic panel inspection planning route based on the photovoltaic panel hot spot risk distribution map in the test area, each photovoltaic panel area in the photovoltaic panel hot spot risk distribution map in the test area is numbered, and each inspection sequence combination result corresponding to the photovoltaic panel area number is generated, each inspection sequence combination result includes all photovoltaic panel area numbers, and the ordering of each element in different inspection sequence combination results is different; the planning routes corresponding to each inspection sequence combination result are obtained, and the planning route is the splicing result of the preset planning path fragments corresponding to any two adjacent photovoltaic panel area numbers in the corresponding inspection sequence combination result in the database; the planning path corresponding to the inspection sequence combination result with the shortest corresponding planning path distance is recorded as the photovoltaic panel inspection planning route;

[0031] The photovoltaic panel areas along the photovoltaic panel inspection planning route include numbered photovoltaic panel areas and unnumbered photovoltaic panel areas;

[0032] If the operation and maintenance is performed according to the feedback photovoltaic panel inspection planning route, the photovoltaic panel area object to be inspected is the photovoltaic panel area along the corresponding photovoltaic panel inspection planning route.

[0033] A photovoltaic operation and maintenance management system, the system comprising the following modules:

[0034] A photovoltaic panel state feature acquisition module, wherein the photovoltaic panel state feature acquisition module uses sensors to collect state feature information of each photovoltaic panel in the test area in real time, wherein the state feature information of the photovoltaic panel includes feature information of the photovoltaic panel orientation and feature information of dust accumulation on the surface of the photovoltaic panel;

[0035] A risk state prediction module, wherein the data aggregation terminal of the risk state prediction module aggregates the photovoltaic panel state characteristic information collected by the sensor, and combines the change of the state characteristic information of the corresponding photovoltaic panel in the historical data to predict the risk state characteristic information of each photovoltaic panel within a unit time; the unit time is a manually preset value;

[0036] A comprehensive risk impact analysis module, wherein the comprehensive risk impact analysis module combines the hot spot locations of photovoltaic panels in historical data with the dust accumulation characteristic information on the surfaces of corresponding photovoltaic panels, analyzes the correlation between the dust accumulation characteristic information on the surfaces of photovoltaic panels and the hot spot risk; and combines the risk status characteristic information of each photovoltaic panel within a unit time to fit the hot spot risk probability distribution map of photovoltaic panels in the test area; combines the hot spot risk probability distribution map in the previous operation and maintenance cycle to generate the hot spot risk confidence probability at the current time, and constructs the hot spot risk distribution map of photovoltaic panels in the test area;

[0037] The operation and maintenance management feedback module generates a photovoltaic panel inspection planning route based on the photovoltaic panel hot spot risk distribution map in the area to be tested, and feeds back to the operation and maintenance early warning display terminal.

[0038] Furthermore, the comprehensive risk impact analysis module includes a hot spot risk association analysis unit, a hot spot risk probability fitting unit and a hot spot risk distribution construction unit.

[0039] The hot spot risk association analysis unit combines the hot spot positions of the photovoltaic panels in the historical data with the dust accumulation characteristic information on the surfaces of the corresponding photovoltaic panels to analyze the association relationship between the dust accumulation characteristic information on the surfaces of the photovoltaic panels and the hot spot risks;

[0040] The hot spot risk probability fitting unit combines the risk state characteristic information of each photovoltaic panel within a unit time to fit the hot spot risk probability distribution map of the photovoltaic panels in the test area;

[0041] The hot spot risk distribution construction unit generates a hot spot risk certainty probability at the current time in combination with the hot spot risk probability distribution map in the previous operation and maintenance cycle, and constructs a hot spot risk distribution map of photovoltaic panels in the test area.

[0042] Compared with the prior art, the beneficial effect achieved by the present invention is as follows: while the present invention monitors the dust accumulation on the surface of photovoltaic panels through sensors to determine whether operation and maintenance operations need to be performed on the photovoltaic panels, it also takes into account the differences between different photovoltaic panels and the interference effects of the actual state differences of photovoltaic panels on the execution time of photovoltaic panel operation and maintenance operations, and combines historical data to analyze the correlation between the characteristic information of dust accumulation on the surface of photovoltaic panels and the hot spot risk, thereby realizing the fitting of the hot spot risk probability distribution map of photovoltaic panels in the test area, accurately locking and constructing the hot spot risk distribution map of photovoltaic panels in the test area, and realizing effective control of photovoltaic operation and maintenance data. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0044] Figure 1It is a structural schematic diagram of a photovoltaic operation and maintenance management system of the present invention;

[0045] Figure 2 It is a flow chart of a photovoltaic operation and maintenance management method of the present invention. DETAILED DESCRIPTION

[0046] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0047] See also Figure 1 , the present invention provides a technical solution: Embodiment 1:

[0048] A photovoltaic operation and maintenance management system, the system comprising the following modules:

[0049] A photovoltaic panel state feature acquisition module, wherein the photovoltaic panel state feature acquisition module uses sensors to collect state feature information of each photovoltaic panel in the test area in real time, wherein the state feature information of the photovoltaic panel includes feature information of the photovoltaic panel orientation and feature information of dust accumulation on the surface of the photovoltaic panel;

[0050] A risk state prediction module, wherein the data aggregation terminal of the risk state prediction module aggregates the photovoltaic panel state characteristic information collected by the sensor, and combines the change of the state characteristic information of the corresponding photovoltaic panel in the historical data to predict the risk state characteristic information of each photovoltaic panel within a unit time; the unit time is a manually preset value;

[0051] A comprehensive risk impact analysis module, wherein the comprehensive risk impact analysis module combines the hot spot locations of photovoltaic panels in historical data with the dust accumulation characteristic information on the surfaces of corresponding photovoltaic panels, analyzes the correlation between the dust accumulation characteristic information on the surfaces of photovoltaic panels and the hot spot risk; and combines the risk status characteristic information of each photovoltaic panel within a unit time to fit the hot spot risk probability distribution map of photovoltaic panels in the test area; combines the hot spot risk probability distribution map in the previous operation and maintenance cycle to generate the hot spot risk confidence probability at the current time, and constructs the hot spot risk distribution map of photovoltaic panels in the test area;

[0052] The operation and maintenance management feedback module generates a photovoltaic panel inspection planning route based on the photovoltaic panel hot spot risk distribution map in the area to be tested, and feeds back to the operation and maintenance early warning display terminal.

[0053] The comprehensive risk impact analysis module includes a hot spot risk association analysis unit, a hot spot risk probability fitting unit and a hot spot risk distribution construction unit.

[0054] The hot spot risk association analysis unit combines the hot spot positions of the photovoltaic panels in the historical data with the dust accumulation characteristic information on the surfaces of the corresponding photovoltaic panels to analyze the association relationship between the dust accumulation characteristic information on the surfaces of the photovoltaic panels and the hot spot risks;

[0055] The hot spot risk probability fitting unit combines the risk state characteristic information of each photovoltaic panel within a unit time to fit the hot spot risk probability distribution map of the photovoltaic panels in the test area;

[0056] The hot spot risk distribution construction unit generates a hot spot risk certainty probability at the current time in combination with the hot spot risk probability distribution map in the previous operation and maintenance cycle, and constructs a hot spot risk distribution map of photovoltaic panels in the test area.

[0057] like Figure 2 As shown, this embodiment 2: a photovoltaic operation and maintenance management method, the method comprises the following steps:

[0058] S1. Using sensors to collect status characteristic information of each photovoltaic panel in the test area in real time, wherein the status characteristic information of the photovoltaic panel includes the orientation characteristic information of the photovoltaic panel and the dust accumulation characteristic information on the surface of the photovoltaic panel; the orientation characteristic information of the photovoltaic panel includes the orientation of the corresponding photovoltaic panel and the angle between the corresponding photovoltaic panel and the ground;

[0059] The dust accumulation characteristic information on the surface of the photovoltaic panel is the average thickness of the dust accumulated on the corresponding photovoltaic panel at the corresponding time point.

[0060] S2. The data aggregation terminal aggregates the photovoltaic panel status characteristic information collected by the sensor, and combines the changes in the status characteristic information of the corresponding photovoltaic panels in the historical data to predict the risk status characteristic information of each photovoltaic panel within a unit time; the unit time is a manually preset value;

[0061] When predicting the risk status characteristic information of each photovoltaic panel within a unit time, a summary result of the photovoltaic panel status characteristic information is obtained from the data summary terminal, and the i-th photovoltaic panel status characteristic information corresponding to the current time in the summary result is recorded as Ai;

[0062] Obtain the change of the state characteristic information of the i-th photovoltaic panel in the historical data, extract the change period of the photovoltaic panel orientation characteristic information in the photovoltaic panel state characteristic information in the historical data, and record the change period of the photovoltaic panel orientation characteristic information in the state characteristic information of the i-th photovoltaic panel as Ti; the value of Ti is equal to the average value of the time interval between any two adjacent photovoltaic panel orientation characteristic information based on the i-th photovoltaic panel in the historical data, and the corresponding value is greater than the first preset value;

[0063] The dust accumulation characteristic information on the surface of the photovoltaic panel corresponding to each time point in the previous change cycle Ti based on the current time in the historical data is intercepted to obtain the i-th reference segment; the segment consisting of the difference between the dust accumulation characteristic information on the surface of the photovoltaic panel corresponding to each time point in the i-th reference segment and the dust accumulation characteristic information on the surface of the photovoltaic panel corresponding to the minimum time point in the i-th reference segment is recorded as the i-th reference period change segment;

[0064] The risk state characteristic information of the ith photovoltaic panel in a unit time is obtained, which is recorded as RSi. The RSi is the maximum value of the dust accumulation characteristic information on the surface of the photovoltaic panel corresponding to the ith photovoltaic panel at each time point in a unit time.

[0065] , where TD represents the value corresponding to unit time; is the dust accumulation characteristic information on the surface of the photovoltaic panel corresponding to the i-th photovoltaic panel at the time point tr in unit time; max{} represents the operation of finding the maximum value;

[0066] Calculate tr based on the predicted feature pair of the i-th photovoltaic panel, denoted as (a, b); the (a, b) satisfies tr=a·Ti-b, and a≥1, 0≤b<Ti,

[0067] ,

[0068] Among them, F i {t} represents the dust accumulation characteristic information on the photovoltaic panel surface corresponding to the minimum time point in the corresponding reference segment in the i-th reference period variation segment; AC i Represents the characteristic information of dust accumulation on the surface of photovoltaic panels in Ai.

[0069] S3. Combining the hot spot locations of photovoltaic panels in historical data with the dust accumulation characteristic information on the surfaces of corresponding photovoltaic panels, analyzing the correlation between the dust accumulation characteristic information on the surfaces of photovoltaic panels and the hot spot risk;

[0070] When analyzing the correlation between the dust accumulation feature information on the photovoltaic panel surface and the hot spot risk, the dust accumulation feature information on the photovoltaic panel surface corresponding to the photovoltaic panel to which each hot spot appears in the historical data is obtained, and a hot spot associated dust accumulation feature array is constructed, which is recorded as [ACR 1 , ACR 2 , ..., ACR n , ..., ACR n1-1 , ACR n1 ], where ACR n Indicates the dust accumulation characteristic information on the photovoltaic panel surface corresponding to the photovoltaic panel to which the nth hot spot recorded in the historical data belongs; n1 indicates the total number of hot spots recorded in the historical data;

[0071] Combined with different photovoltaic panel surface dust accumulation characteristic information intervals with equal interval lengths preset in the data, the elements in the hot spot associated dust accumulation characteristic array are screened and matched, and divided into corresponding photovoltaic panel surface dust accumulation characteristic information intervals;

[0072] Construct different hot spot interval density association data pairs, wherein the first value in the hot spot interval density association data pair is the midpoint of the dust accumulation characteristic information interval on the surface of the corresponding photovoltaic panel; the second value in the hot spot interval density association data pair is the quotient obtained by dividing the number of elements in the hot spot associated dust accumulation feature array matched in the corresponding photovoltaic panel surface dust accumulation characteristic information interval by the total number of elements in the hot spot associated dust accumulation feature array and the interval length of the corresponding photovoltaic panel surface dust accumulation characteristic information interval; each hot spot interval density association data pair corresponds to a photovoltaic panel surface dust accumulation characteristic information interval;

[0073] In the fitting software, The function fitting result of each hot spot interval density correlation data pair obtained by the function model is used as the correlation relationship between the dust accumulation characteristic information on the photovoltaic panel surface and the hot spot risk, which is recorded as fg(x). The d1, d2, d3 and d4 are all constants and d1>0.

[0074] Combined with the risk status characteristic information of each photovoltaic panel within a unit time, the hot spot risk probability distribution map of the photovoltaic panels in the test area is fitted; in the process of fitting the hot spot risk probability distribution map of the photovoltaic panels in the test area, the hot spot risk probability corresponding to the i-th photovoltaic panel in the test area is recorded as RB i , , where fg(x1) represents the function value of fg(x) corresponding to the dust accumulation characteristic information on the surface of the photovoltaic panel being x1; the hot spot risk probability corresponding to each photovoltaic panel in the test area is obtained, and the hot spot risk probability corresponding to the corresponding photovoltaic panel is marked in the photovoltaic panel distribution map in the test area, and the fitting result of the hot spot risk probability distribution map of the photovoltaic panels in the test area is obtained;

[0075] Combined with the hot spot risk probability distribution map in the previous operation and maintenance cycle, the hot spot risk confidence probability at the current time is generated, and the hot spot risk distribution map of photovoltaic panels in the test area is constructed;

[0076] When generating the hot spot risk certainty probability at the current time, the operation and maintenance results in the last operation and maintenance cycle are obtained, the location where the hot spot appears in the operation and maintenance results is extracted, and the hot spot risk probability corresponding to the extracted hot spot location is marked in the hot spot risk probability distribution map of the photovoltaic panels in the corresponding test area during the operation and maintenance process, and the minimum value of the marked hot spot risk probability is recorded as the hot spot risk certainty probability at the current time;

[0077] When constructing the hot spot risk distribution map of photovoltaic panels in the test area, all photovoltaic panel areas in the hot spot risk probability distribution map of photovoltaic panels in the test area corresponding to hot spot risk probabilities greater than or equal to the hot spot risk certainty probability at the current time are extracted to obtain the hot spot risk distribution map of photovoltaic panels in the test area.

[0078] S4. Based on the risk distribution map of hot spots of photovoltaic panels in the area to be tested, a photovoltaic panel inspection planning route is generated and fed back to the operation and maintenance warning display terminal;

[0079] When generating a planned inspection route for photovoltaic panels based on the hot spot risk distribution map of photovoltaic panels in the area to be tested, each photovoltaic panel area in the hot spot risk distribution map of photovoltaic panels in the area to be tested is numbered, and each inspection sequence combination result corresponding to the photovoltaic panel area number is generated, each inspection sequence combination result includes all photovoltaic panel area numbers, and the ordering of each element in different inspection sequence combination results is different; the planned routes corresponding to each inspection sequence combination result are obtained, and the planned routes are the splicing results of the preset planned path fragments corresponding to any two adjacent photovoltaic panel area numbers in the corresponding inspection sequence combination results in the database; the planned path corresponding to the inspection sequence combination result with the shortest corresponding planning path distance is recorded as the photovoltaic panel inspection planning route;

[0080] The photovoltaic panel areas along the photovoltaic panel inspection planning route include numbered photovoltaic panel areas and unnumbered photovoltaic panel areas;

[0081] If the operation and maintenance is performed according to the feedback photovoltaic panel inspection planning route, the photovoltaic panel area object to be inspected is the photovoltaic panel area along the corresponding photovoltaic panel inspection planning route.

[0082] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0083] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A photovoltaic operation and maintenance management method, characterized in that: The method comprises the following steps: S1. Using sensors to collect status characteristic information of each photovoltaic panel in the area to be measured in real time, wherein the status characteristic information of the photovoltaic panel includes characteristic information of the orientation of the photovoltaic panel and characteristic information of dust accumulation on the surface of the photovoltaic panel; S2. The data aggregation terminal aggregates the photovoltaic panel status characteristic information collected by the sensor, and combines the changes in the status characteristic information of the corresponding photovoltaic panels in the historical data to predict the risk status characteristic information of each photovoltaic panel within a unit time; the unit time is a manually preset value; S3. Combine the hot spot positions of photovoltaic panels in historical data with the dust accumulation characteristic information on the surfaces of the corresponding photovoltaic panels, and analyze the correlation between the dust accumulation characteristic information on the surfaces of photovoltaic panels and the hot spot risk; and combine the risk status characteristic information of each photovoltaic panel within a unit time to fit the hot spot risk probability distribution map of photovoltaic panels in the test area; combine the hot spot risk probability distribution map in the previous operation and maintenance cycle to generate the hot spot risk confidence probability at the current time, and construct the hot spot risk distribution map of photovoltaic panels in the test area; S4. Based on the risk distribution map of hot spots of photovoltaic panels in the area to be tested, a photovoltaic panel inspection planning route is generated and fed back to the operation and maintenance warning display terminal; When generating a planned inspection route for photovoltaic panels based on the hot spot risk distribution map of photovoltaic panels in the area to be tested, each photovoltaic panel area in the hot spot risk distribution map of photovoltaic panels in the area to be tested is numbered, and each inspection sequence combination result corresponding to the photovoltaic panel area number is generated, each inspection sequence combination result includes all photovoltaic panel area numbers, and the ordering of each element in different inspection sequence combination results is different; the planned routes corresponding to each inspection sequence combination result are obtained, and the planned routes are the splicing results of the preset planned path fragments corresponding to any two adjacent photovoltaic panel area numbers in the corresponding inspection sequence combination results in the database; the planned path corresponding to the inspection sequence combination result with the shortest corresponding planning path distance is recorded as the photovoltaic panel inspection planning route; The photovoltaic panel areas along the photovoltaic panel inspection planning route include numbered photovoltaic panel areas and unnumbered photovoltaic panel areas; If the operation and maintenance is performed according to the feedback photovoltaic panel inspection planning route, the photovoltaic panel area object to be inspected is the photovoltaic panel area along the corresponding photovoltaic panel inspection planning route.

2. A photovoltaic operation and maintenance management method according to claim 1, characterized in that: The photovoltaic panel orientation characteristic information includes the orientation of the corresponding photovoltaic panel and the angle between the corresponding photovoltaic panel and the ground; The photovoltaic panel surface dust accumulation characteristic information is the average thickness of dust accumulated on the corresponding photovoltaic panel at a corresponding time point.

3. A photovoltaic operation and maintenance management method according to claim 1, characterized in that: When predicting the risk status characteristic information of each photovoltaic panel within a unit time, a summary result of the photovoltaic panel status characteristic information is obtained from the data summary terminal, and the i-th photovoltaic panel status characteristic information corresponding to the current time in the summary result is recorded as Ai; Obtain the change of the state characteristic information of the i-th photovoltaic panel in the historical data, extract the change period of the photovoltaic panel orientation characteristic information in the photovoltaic panel state characteristic information in the historical data, and record the change period of the photovoltaic panel orientation characteristic information in the state characteristic information of the i-th photovoltaic panel as Ti; the value of Ti is equal to the average value of the time interval between any two adjacent photovoltaic panel orientation characteristic information based on the i-th photovoltaic panel in the historical data, and the corresponding value is greater than the first preset value; The dust accumulation characteristic information on the surface of the photovoltaic panel corresponding to each time point in the previous change cycle Ti based on the current time in the historical data is intercepted to obtain the i-th reference segment; the segment consisting of the difference between the dust accumulation characteristic information on the surface of the photovoltaic panel corresponding to each time point in the i-th reference segment and the dust accumulation characteristic information on the surface of the photovoltaic panel corresponding to the minimum time point in the i-th reference segment is recorded as the i-th reference period change segment; The risk state characteristic information of the ith photovoltaic panel in a unit time is obtained, which is recorded as RSi. The RSi is the maximum value of the dust accumulation characteristic information on the surface of the photovoltaic panel corresponding to the ith photovoltaic panel at each time point in a unit time. , where TD represents the value corresponding to unit time; is the dust accumulation characteristic information on the surface of the photovoltaic panel corresponding to the i-th photovoltaic panel at the time point tr in unit time; max{} represents the operation of finding the maximum value; Calculate tr based on the predicted feature pair of the i-th photovoltaic panel, denoted as (a, b); the (a, b) satisfies tr=a·Ti-b, and a≥1, 0≤b<Ti, ， Among them, F i {t} represents the dust accumulation characteristic information on the photovoltaic panel surface corresponding to the minimum time point in the corresponding reference segment in the i-th reference period variation segment; AC i Represents the characteristic information of dust accumulation on the surface of photovoltaic panels in Ai.

4. A photovoltaic operation and maintenance management method according to claim 3, characterized in that: When analyzing the correlation between the dust accumulation feature information on the photovoltaic panel surface and the hot spot risk, the dust accumulation feature information on the photovoltaic panel surface corresponding to the photovoltaic panel to which each hot spot belongs in the historical data is obtained, and a hot spot associated dust accumulation feature array is constructed, which is recorded as [ACR 1 , ACR 2 , ..., ACR n , ..., ACR n1-1 , ACR n1 ], where ACR n Indicates the dust accumulation characteristic information on the photovoltaic panel surface corresponding to the photovoltaic panel to which the nth hot spot recorded in the historical data belongs; n1 indicates the total number of hot spots recorded in the historical data; Combined with different photovoltaic panel surface dust accumulation characteristic information intervals with equal interval lengths preset in the data, the elements in the hot spot associated dust accumulation characteristic array are screened and matched, and divided into corresponding photovoltaic panel surface dust accumulation characteristic information intervals; Construct different hot spot interval density association data pairs, wherein the first value in the hot spot interval density association data pair is the midpoint of the dust accumulation characteristic information interval on the surface of the corresponding photovoltaic panel; the second value in the hot spot interval density association data pair is the quotient obtained by dividing the number of elements in the hot spot associated dust accumulation feature array matched in the corresponding photovoltaic panel surface dust accumulation characteristic information interval by the total number of elements in the hot spot associated dust accumulation feature array and the interval length of the corresponding photovoltaic panel surface dust accumulation characteristic information interval; each hot spot interval density association data pair corresponds to a photovoltaic panel surface dust accumulation characteristic information interval; In the fitting software, The function fitting result of each hot spot interval density correlation data pair obtained by the function model is used as the correlation relationship between the dust accumulation characteristic information on the photovoltaic panel surface and the hot spot risk, which is recorded as fg(x). The d1, d2, d3 and d4 are all constants and d1>

0.

5. A photovoltaic operation and maintenance management method according to claim 4, characterized in that: In the process of fitting the hot spot risk probability distribution map of photovoltaic panels in the test area, the hot spot risk probability corresponding to the i-th photovoltaic panel in the test area is recorded as RB i , , where fg(x1) represents the function value of fg(x) corresponding to the dust accumulation characteristic information on the surface of the photovoltaic panel being x1; the hot spot risk probability corresponding to each photovoltaic panel in the test area is obtained, and the hot spot risk probability corresponding to the corresponding photovoltaic panel is marked in the photovoltaic panel distribution map in the test area, and the fitting result of the hot spot risk probability distribution map of the photovoltaic panels in the test area is obtained; When generating the hot spot risk certainty probability at the current time, the operation and maintenance results in the last operation and maintenance cycle are obtained, the location where the hot spot appears in the operation and maintenance results is extracted, and the hot spot risk probability corresponding to the extracted hot spot location is marked in the hot spot risk probability distribution map of the photovoltaic panels in the corresponding test area during the operation and maintenance process, and the minimum value of the marked hot spot risk probability is recorded as the hot spot risk certainty probability at the current time; When constructing the hot spot risk distribution map of photovoltaic panels in the test area, all photovoltaic panel areas in the hot spot risk probability distribution map of photovoltaic panels in the test area corresponding to hot spot risk probabilities greater than or equal to the hot spot risk certainty probability at the current time are extracted to obtain the hot spot risk distribution map of photovoltaic panels in the test area.

6. A photovoltaic operation and maintenance management system, applying a photovoltaic operation and maintenance management method according to any one of claims 1 to 5, characterized in that: The system includes the following modules: A photovoltaic panel state feature acquisition module, wherein the photovoltaic panel state feature acquisition module uses sensors to collect state feature information of each photovoltaic panel in the test area in real time, wherein the state feature information of the photovoltaic panel includes feature information of the photovoltaic panel orientation and feature information of dust accumulation on the surface of the photovoltaic panel; A risk state prediction module, wherein the data aggregation terminal of the risk state prediction module aggregates the photovoltaic panel state characteristic information collected by the sensor, and combines the change of the state characteristic information of the corresponding photovoltaic panel in the historical data to predict the risk state characteristic information of each photovoltaic panel within a unit time; the unit time is a manually preset value; A comprehensive risk impact analysis module, which combines the hot spot locations of photovoltaic panels in historical data with the dust accumulation characteristic information on the surfaces of corresponding photovoltaic panels to analyze the correlation between the dust accumulation characteristic information on the surfaces of photovoltaic panels and the hot spot risk; and combines the risk status characteristic information of each photovoltaic panel per unit time to fit the hot spot risk probability distribution map of photovoltaic panels in the test area; Combined with the hot spot risk probability distribution map in the previous operation and maintenance cycle, the hot spot risk confidence probability at the current time is generated, and the hot spot risk distribution map of photovoltaic panels in the test area is constructed; The operation and maintenance management feedback module generates a photovoltaic panel inspection planning route based on the photovoltaic panel hot spot risk distribution map in the area to be tested, and feeds back to the operation and maintenance early warning display terminal.

7. A photovoltaic operation and maintenance management system according to claim 6, characterized in that: The comprehensive risk impact analysis module includes a hot spot risk association analysis unit, a hot spot risk probability fitting unit and a hot spot risk distribution construction unit. The hot spot risk association analysis unit combines the hot spot positions of the photovoltaic panels in the historical data with the dust accumulation characteristic information on the surfaces of the corresponding photovoltaic panels to analyze the association relationship between the dust accumulation characteristic information on the surfaces of the photovoltaic panels and the hot spot risks; The hot spot risk probability fitting unit combines the risk state characteristic information of each photovoltaic panel within a unit time to fit the hot spot risk probability distribution map of the photovoltaic panels in the test area; The hot spot risk distribution construction unit generates a hot spot risk certainty probability at the current time in combination with the hot spot risk probability distribution map in the previous operation and maintenance cycle, and constructs a hot spot risk distribution map of photovoltaic panels in the test area.

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