A distributed photovoltaic power generation intelligent monitoring and early warning method and system

Abstract

The present invention discloses a distributed photovoltaic power generation intelligent monitoring and early warning method and system, which relates to the field of distributed photovoltaic technology. The method includes: collecting the distributed photovoltaic power station layout information and base station layout information of the target area; performing data mining on the base station data transmission records of M base stations to determine the M measured signal coverage areas; dividing the K photovoltaic power stations into transmission base stations in combination with the positioning information of K photovoltaic power stations to obtain M photovoltaic power station division sets; obtaining the M power station power generation monitoring data sets, and transmitting them to the monitoring and early warning unit through the M base stations to obtain synchronous monitoring and early warning information. The present invention solves the technical problem that when the distributed photovoltaic power stations are uniformly monitored in the prior art, the data transmission quality of different photovoltaic power stations varies greatly, resulting in low monitoring and early warning accuracy, and achieves the technical effect of improving the synchronization of monitoring and early warning of distributed photovoltaic power stations and improving the reliability of monitoring and early warning.

Description

Technical Field

[0001] The present invention relates to the field of distributed photovoltaic technology, and in particular to a distributed photovoltaic power generation intelligent monitoring and early warning method and system. Background Art

[0002] Due to construction conditions, distributed photovoltaic power stations are usually scattered, which makes it difficult to transmit, monitor and manage distributed photovoltaic power stations in a unified manner. At present, the data of photovoltaic power stations is collected and transmitted by using base stations. However, due to the limitation of base station signal coverage, the data of some photovoltaic power stations cannot be uploaded in a unified manner with the data of other photovoltaic power stations, and even leakage occurs from time to time.

[0003] The existing technology has a technical problem that when performing unified monitoring of distributed photovoltaic power stations, the data transmission quality of different photovoltaic power stations varies greatly, resulting in low accuracy of monitoring and early warning. Summary of the invention

[0004] The present application provides a distributed photovoltaic power generation intelligent monitoring and early warning method and system, which is used to solve the technical problem in the prior art that when performing unified monitoring of distributed photovoltaic power stations, the data transmission quality of different photovoltaic power stations varies greatly, resulting in low monitoring and early warning accuracy.

[0005] In view of the above problems, the present application provides a distributed photovoltaic power generation intelligent monitoring and early warning method and system.

[0006] In a first aspect of the present application, a distributed photovoltaic power generation intelligent monitoring and early warning method is provided, the method comprising:

[0007] Collecting distributed photovoltaic power station layout information and base station layout information in the target area, wherein the distributed photovoltaic power station layout information includes K photovoltaic power stations and K photovoltaic power station positioning information, and the base station layout information includes M base stations and M base station positioning information;

[0008] Performing data mining on the base station data transmission records of the M base stations to determine M measured signal coverage areas of the M base stations;

[0009] Based on the M measured signal coverage areas and the M base station positioning information, the K photovoltaic power stations are divided into transmission base stations in combination with the K photovoltaic power station positioning information to obtain M photovoltaic power station division sets, wherein each photovoltaic power station division set corresponds to one base station;

[0010] Traversing the M photovoltaic power station partition sets to extract power station monitoring data within a preset analysis window, and obtaining M power station power generation monitoring data sets;

[0011] The power generation monitoring data sets of M power stations are transmitted to the monitoring and early warning unit through M base stations to obtain synchronous monitoring and early warning information.

[0012] The second aspect of the present application provides a distributed photovoltaic power generation intelligent monitoring and early warning system, the system comprising:

[0013] A layout information collection module is used to collect the layout information of distributed photovoltaic power stations and base station layout information in the target area, wherein the distributed photovoltaic power station layout information includes K photovoltaic power stations and K photovoltaic power station positioning information, and the base station layout information includes M base stations and M base station positioning information;

[0014] A measured signal coverage area determination module, configured to perform data mining on the base station data transmission records of the M base stations to determine M measured signal coverage areas of the M base stations;

[0015] A photovoltaic power station partition set acquisition module is used to divide the K photovoltaic power stations into transmission base stations based on the M measured signal coverage areas and the M base station positioning information, combined with the K photovoltaic power station positioning information, to obtain M photovoltaic power station partition sets, wherein each photovoltaic power station partition set corresponds to one base station;

[0016] A monitoring data set acquisition module is used to traverse the M photovoltaic power station division sets to extract the power station monitoring data within a preset analysis window, and obtain the M power station power generation monitoring data sets;

[0017] The monitoring and early warning information acquisition module is used to transmit the power generation monitoring data sets of M power stations to the monitoring and early warning unit through M base stations to obtain synchronous monitoring and early warning information.

[0018] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0019] The present application collects the distributed photovoltaic power station layout information and base station layout information of the target area, wherein the distributed photovoltaic power station layout information includes K photovoltaic power stations and K photovoltaic power station positioning information, and the base station layout information includes M base stations and M base station positioning information, and then performs data mining on the base station data transmission records of the M base stations, determines the M measured signal coverage areas of the M base stations, and divides the K photovoltaic power stations into transmission base stations based on the M measured signal coverage areas and the M base station positioning information, combined with the K photovoltaic power station positioning information, to obtain M photovoltaic power station division sets, wherein each photovoltaic power station division set corresponds to a base station, and then traverses the M photovoltaic power station division sets to extract the power station monitoring data within the preset analysis window, obtains the M power station power generation monitoring data set, and then transmits the M power station power generation monitoring data set to the monitoring and early warning unit through the M base stations, and obtains the monitoring and early warning information. The technical effect of improving the accuracy of monitoring and early warning is achieved. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0021] Figure 1 A schematic flow chart of a distributed photovoltaic power generation intelligent monitoring and early warning method provided in an embodiment of the present application.

[0022] Figure 2 A schematic diagram of the structure of a distributed photovoltaic power generation intelligent monitoring and early warning system provided in an embodiment of the present application.

[0023] Explanation of the reference numerals: deployment information collection module 11 , measured signal coverage area determination module 12 , photovoltaic power station division set acquisition module 13 , monitoring data set acquisition module 14 , monitoring and early warning information acquisition module 15 . DETAILED DESCRIPTION

[0024] The present application provides a distributed photovoltaic power generation intelligent monitoring and early warning method and system, which is used to solve the technical problem that when performing unified monitoring of distributed photovoltaic power stations in the prior art, the data transmission quality of different photovoltaic power stations varies greatly, resulting in low monitoring and early warning accuracy.

[0025] The technical solutions in the embodiments of the present application will be described clearly and completely below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0026] It should be noted that the terms "including" and "having" are intended to cover non-exclusive inclusions. For example, a process, method, system, product or server that includes a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or modules that are not explicitly listed or inherent to these processes, methods, products or devices.

[0027] Embodiment 1

[0028] like Figure 1 As shown, the present application provides a distributed photovoltaic power generation intelligent monitoring and early warning method, wherein the method comprises:

[0029] S100: Collecting distributed photovoltaic power station layout information and base station layout information in a target area, wherein the distributed photovoltaic power station layout information includes K photovoltaic power stations and K photovoltaic power station positioning information, and the base station layout information includes M base stations and M base station positioning information;

[0030] In a possible embodiment, the target area is any area where distributed photovoltaic power stations are distributed. In order to perform overall monitoring and early warning of distributed photovoltaic power stations in the target area, it is necessary to understand the distribution of photovoltaic power stations in the target area and the distribution of base stations performing data transmission in the target area.

[0031] The distributed photovoltaic power station layout information and the base station layout information are obtained by collecting the location and basic information of each photovoltaic power station and base station in the target area. The distributed photovoltaic power station layout information includes K photovoltaic power stations and K photovoltaic power station positioning information, and the base station layout information includes M base stations and M base station positioning information.

[0032] The base station layout information reflects the location and distribution number of base stations in the target area. The distributed photovoltaic power station layout information reflects the location and distribution number of photovoltaic power stations in the target area. The technical effect of paving the way for subsequent data mining, signal coverage range identification and power station monitoring data collection has been achieved.

[0033] S200: performing data mining on the base station data transmission records of the M base stations to determine M measured signal coverage areas of the M base stations;

[0034] Furthermore, step S200 of the embodiment of the present application further includes:

[0035] Collecting M designed signal coverage areas of the M base stations;

[0036] Using the M designed signal coverage areas as indexes, data mining is performed on the base station construction test data to obtain M data transmission record sets and M transmission positioning identifier sets, wherein the data transmission records correspond to the transmission positioning identifiers one by one;

[0037] The actual signal coverage ranges of the M base stations are determined based on the M data transmission record sets and the M transmission positioning identifier sets, and the M measured signal coverage areas are generated.

[0038] In a possible embodiment, data mining is performed based on the data transmission conditions within the design signal coverage areas of the M base stations, thereby analyzing the actual operation conditions and data transmission effects of each base station, and obtaining the M measured signal coverage areas of the M base stations. This achieves the technical effect of providing data support for subsequent effective data transmission and monitoring of the photovoltaic power station within the actual coverage area of ​​the corresponding base station.

[0039] Optionally, the M measured signal coverage areas are obtained by performing in-depth analysis on the base station data transmission records of the M base stations to obtain the coverage boundaries of the base station signals while ensuring transmission.

[0040] The basic design information of the M base stations is collected respectively, and multiple factors such as the transmission power, antenna gain, terrain and building influence of each base station are considered to determine the area where the signals of the M base stations can theoretically effectively cover, thereby obtaining the M design information coverage area.

[0041] Optionally, using the M designed signal coverage areas as indexes, data mining is performed in the base station construction test data obtained when performing the base station signal test to obtain the M data transmission record sets and M transmission location identifier sets. The M data transmission record sets are used to record in detail the data transmission conditions sent and received from different locations of the M designed signal coverage areas of the M base stations to the base station. The M transmission location identifier sets are used to describe the specific locations where the data transmission records in the M data transmission record sets are generated.

[0042] By using the M designed signal coverage areas as indexes, the base station construction test data are retrieved respectively to determine the data transmission records that meet the M designed signal coverage areas, thereby obtaining the M data transmission record sets and the M transmission positioning identifier sets.

[0043] Optionally, the actual effective signal coverage range of the M base stations is determined by analyzing the M data transmission record sets and the M transmission positioning identifier sets, thereby obtaining the M measured signal coverage areas. By obtaining the M measured signal coverage areas, a technical effect is achieved in which the subsequent K photovoltaic power stations can be matched with reliable base stations for data transmission.

[0044] Furthermore, step S200 of the embodiment of the present application further includes:

[0045] Performing equal particle arrangement based on the area sizes of the M design signal coverage areas to obtain M particle arrangement diagrams, wherein the M particle arrangement diagrams include M design particle sets;

[0046] According to the transmission positioning identifiers in the M transmission positioning identifier sets, transmission particles are arranged in the M designed signal coverage areas to obtain M transmission particle arrangement diagrams, wherein the M transmission particle arrangement diagrams include M transmission particle sets, and each transmission particle corresponds to a transmission positioning identifier;

[0047] Using a mining mass identifier, performing similarity identification on the M particle arrangement diagrams and the M transmission particle arrangement diagrams to obtain a first similarity;

[0048] When the first similarity is less than or equal to a preset similarity threshold, generating a cloud data retrieval instruction;

[0049] According to the cloud data retrieval instruction, cloud transmission data mining is performed in combination with the M base stations and the M base station positioning information to obtain M cloud data transmission record sets and M cloud transmission positioning identifier sets;

[0050] The M cloud data transmission record sets and the M cloud transmission location identifier sets are added to the M data transmission record sets and the M transmission location identifier sets.

[0051] In a possible embodiment, the M transmission location identifier sets reflect the distribution positions of the M signal test point sets (test points when performing base station signal testing) corresponding to the M data transmission record sets in the M designed signal coverage areas of the M base stations. Based on the M transmission location identifier sets, it can be analyzed whether the M data transmission record sets effectively represent the signal distribution of the M designed signal coverage areas of the M base stations.

[0052] According to the area sizes of the M design signal coverage areas, the particles are evenly arranged according to the preset arrangement spacing (the test point spacing distance preset by those skilled in the art), and the M particle arrangement diagrams are obtained. Each design particle in the M design particle set represents a signal test point under the equal signal test arrangement according to the area sizes of the M design signal coverage areas.

[0053] Then, according to the transmission positioning identifiers in the M transmission positioning identifier sets, a transmission particle is set at the corresponding position in the M designed signal coverage areas, and the transmission particles are arranged to obtain the M transmission particle arrangement diagrams. The M transmission particle arrangement diagrams include M transmission particle sets. Each transmission particle corresponds to a transmission positioning identifier. The M transmission particle arrangement diagrams reflect the distribution of signal test points during base station construction testing.

[0054] Optionally, the mining quality identifier is used to identify the distribution balance of M data transmission record sets in M ​​designed signal coverage areas, and the mining quality identifier has a cosine similarity calculation formula. The M particle arrangement diagrams and the M transmission particle arrangement diagrams are input into the mining quality identifier for similarity calculation to obtain the first similarity. The first similarity reflects the distribution balance of signal test points in M ​​designed signal coverage areas when performing base station construction testing. The larger the first similarity, the better the distribution balance, and the more representative the M data transmission record sets are.

[0055] In one embodiment, when the first similarity is less than or equal to the preset similarity threshold (the minimum similarity that meets the requirements is set by technicians in this field), it indicates that the M data transmission record sets cannot represent the data transmission conditions of the M designed signal coverage areas. At this time, the cloud data retrieval instruction is generated.

[0056] The cloud data retrieval instruction is used to perform data mining from the cloud, thereby supplementing the M data transmission record sets, thereby obtaining data that can effectively reflect the data transmission status of the M design signal coverage areas.

[0057] In an embodiment of the present application, cloud transmission data mining is performed using the M base stations and the M base station positioning information to determine the configuration of the cloud that meets the base station configuration and the test data of other base stations at the base station location, thereby obtaining M cloud data transmission record sets and M cloud transmission positioning identifier sets.

[0058] By adding the M cloud data transmission record sets and the M cloud transmission location identifier sets into the M data transmission record sets and the M transmission location identifier sets, the goal of supplementing the data of the M data transmission record sets is achieved.

[0059] Optionally, a mining quality identifier is used to perform similarity identification on the M data transmission record sets after the cloud data is added and the M transmission location identifier sets to obtain a second similarity. When the second similarity is less than or equal to the preset similarity threshold, cloud data extraction continues according to the cloud data retrieval instruction; when the second similarity is greater than or equal to the preset similarity threshold, it indicates that the updated M data transmission record sets are sufficiently representative, and the subsequent measured signal coverage area identification is continued. The technical effect of reliably analyzing the quality of data mining and providing the accuracy of subsequent monitoring and early warning is achieved.

[0060] Furthermore, step S200 of the embodiment of the present application further includes:

[0061] Using the base station transmission index as an index, searching the M data transmission record sets, and performing transmission strength analysis according to the search results to obtain the M base station transmission strength sets;

[0062] Taking the M base station positions in the M base station positioning information as starting points, constructing M first diffusion areas according to a preset diffusion radius;

[0063] Analyze the M base station transmission strength sets according to the M first diffusion areas to determine M first area transmission strengths, wherein the M first area transmission strengths are transmission capabilities of the M base stations when performing data transmission within the M first diffusion areas;

[0064] Performing edge diffusion on the M first diffusion areas according to the preset diffusion radius to obtain M second diffusion areas, wherein the M second diffusion areas include M second area transmission strengths, wherein the M second area transmission strengths are transmission capabilities of the M base stations when performing data transmission in the M second diffusion areas;

[0065] The M measured signal coverage areas are determined by iteratively identifying the edges of the measured signal coverage areas according to the transmission intensities of the M first areas and the transmission intensities of the M second areas, as well as the M first diffusion areas and the M second diffusion areas.

[0066] Furthermore, step S200 of the embodiment of the present application further includes:

[0067] Determine whether the difference between the transmission strength of the M first regions and the transmission strength of the M second regions is less than or equal to a preset strength difference; if so, perform edge diffusion on the M second diffusion regions according to the preset diffusion radius to obtain M third diffusion regions;

[0068] If not, stop iterative identification and use the M second diffusion areas as the M measured signal coverage areas.

[0069] In a possible embodiment, the base station transmission index is used to evaluate the transmission strength of the base station when performing data transmission, including data transmission rate, signal reception power and signal reception strength. The M data transmission record sets are retrieved using the base station transmission index as an index to obtain M base station transmission index cluster sets. The M base station transmission index cluster sets are identified using the transmission strength identification network layer to obtain the M base station transmission strength sets. The greater the base station transmission strength, the better the data transmission effect of the base station at the corresponding test point.

[0070] Optionally, multiple sample base station transmission indicator clusters and multiple sample base station transmission strengths are obtained as training data, and the training data is used to perform supervised training on a network layer constructed based on a convolutional neural network. During the training, the mapping relationship between the base station transmission indicator clusters and the base station transmission strength is learned until the model converges, thereby obtaining the trained transmission strength identification network layer.

[0071] Taking the M base station positions in the M base station positioning information as the starting point, M first diffusion areas are constructed according to a preset diffusion radius (a single area expansion amplitude when identifying the edge of the measured signal coverage area pre-set by a person skilled in the art). The M base station transmission strength sets are matched according to the M first diffusion areas to determine the M first diffusion base station transmission strength sets of the M first diffusion areas.

[0072] Mean calculation is performed on the M first diffusion base station transmission strength sets respectively to determine M first area transmission strengths, wherein the M first area transmission strengths are transmission capabilities of the M base stations when performing data transmission within the M first diffusion areas.

[0073] Optionally, edge diffusion is performed on the M first diffusion areas according to the preset diffusion radius to obtain M second diffusion areas, wherein the M second diffusion areas include M second area transmission strengths, wherein the M second area transmission strengths are the transmission capabilities of the M base stations when performing data transmission in the M second diffusion areas. Based on the same calculation principle as the M first area transmission strengths, the M base station transmission strength sets are matched according to the M second diffusion areas to determine the M second diffusion base station transmission strength sets of the M second diffusion areas. The mean of the M second diffusion base station transmission strength sets is calculated respectively to determine the M second area transmission strengths.

[0074] The M measured signal coverage areas are determined by iteratively identifying the edges of the measured signal coverage areas according to the transmission strengths of the M first areas and the transmission strengths of the M second areas, as well as the M first diffusion areas and the M second diffusion areas. The M measured signal coverage areas are the actual effective signal coverage ranges of the M base stations.

[0075] Determine whether the difference between the transmission intensities of the M first areas and the transmission intensities of the M second areas is less than or equal to a preset intensity difference. If so, it indicates that the difference in regional transmission intensities between the M first diffusion areas and the M second diffusion areas is not obvious, and has not yet reached the edge of the area with poor transmission intensity. Then, continue to perform edge diffusion on the M second diffusion areas according to the preset diffusion radius to obtain M third diffusion areas, and perform iterative identification based on the M third diffusion areas.

[0076] If not, it indicates that the regional transmission strength difference between the M first diffusion areas and the M second diffusion areas is obvious, and has reached the edge of the area with poor transmission strength. At this time, the iterative identification is stopped, and the M second diffusion areas are used as the M measured signal coverage areas. The technical effect of reliably identifying the actual signal coverage range of the M base stations is achieved.

[0077] S300: Based on the M measured signal coverage areas and the M base station positioning information, the K photovoltaic power stations are divided into transmission base stations in combination with the K photovoltaic power station positioning information to obtain M photovoltaic power station division sets, where each photovoltaic power station division set corresponds to one base station;

[0078] In a possible embodiment, according to the positioning information of the M base stations and the positioning information of the K photovoltaic power stations, K base station sets adjacent to the K photovoltaic power stations are matched. In combination with the M measured signal coverage areas, the areas of the K photovoltaic power stations covered by the measured signal coverage areas corresponding to the base stations in the K base station sets are counted to obtain K base station inclusion area sets, and the K photovoltaic power stations are respectively divided into base stations corresponding to the maximum value of the base station inclusion area in the K base station inclusion area sets to obtain K photovoltaic power station divided base stations. With the M base stations as indexes, the K photovoltaic power station divided base stations are clustered with the same base stations to obtain the M photovoltaic power station divided sets. Among them, each photovoltaic power station divided set corresponds to a base station. The technical effects of improving the reliability of photovoltaic power station division, ensuring the quality of photovoltaic power station data transmission, and improving the accuracy and timeliness of monitoring and early warning are achieved.

[0079] S400: traversing the M photovoltaic power station division sets to extract power station monitoring data within a preset analysis window, and obtaining a power generation monitoring data set of M power stations;

[0080] Furthermore, step S400 in the embodiment of the present application further includes:

[0081] Obtain monitoring indicators of photovoltaic power plants;

[0082] The photovoltaic power station monitoring index is used as an index to retrieve the operation data of the photovoltaic power stations in the M photovoltaic power station division sets within a preset analysis window to obtain the power generation monitoring data set of the M power stations.

[0083] Furthermore, the photovoltaic power station monitoring indicators include theoretical power generation, actual power generation, grid-connected power, and inverter input power.

[0084] In a possible embodiment, the preset analysis window is a monitoring and analysis time period preset by a person skilled in the art, which may be half an hour, one hour, etc. The monitoring data related to power generation of the photovoltaic power stations in the M photovoltaic power station division sets within the preset analysis window are extracted respectively to obtain the power generation monitoring data set of the M power stations. The power generation monitoring data set of the M power stations reflects the operation status of the K photovoltaic power stations within the preset analysis window.

[0085] Optionally, the monitoring index of the photovoltaic power station is obtained, wherein the monitoring index of the photovoltaic power station includes theoretical power generation, actual power generation, online power generation, and inverter input power generation. Then, the operating data of the photovoltaic power station in the M photovoltaic power station division set within the preset analysis window is retrieved with the monitoring index of the photovoltaic power station as the index, and the power generation monitoring data set of the M power stations is obtained. The technical effect of mastering the operating conditions of the K photovoltaic power stations of the distributed photovoltaic power station and providing data support for subsequent monitoring and early warning is achieved.

[0086] S500: Transmitting a set of power generation monitoring data of M power stations to a monitoring and early warning unit via M base stations to obtain synchronous monitoring and early warning information.

[0087] In a possible embodiment, the power generation monitoring data sets of M power stations are respectively transmitted to the monitoring and early warning unit through M base stations, and the monitoring and early warning unit analyzes the monitoring data to obtain the synchronous monitoring and early warning information. The synchronous monitoring and early warning information reflects the abnormal power generation of the distributed photovoltaic power station in the target area.

[0088] Optionally, multiple sample power station power generation monitoring data sets and multiple sample synchronous monitoring and early warning information are obtained, wherein the multiple sample synchronous monitoring and early warning information has a data identifier. The multiple sample power station power generation monitoring data sets and multiple sample synchronous monitoring and early warning information are used as construction data to train the framework built based on the convolutional neural network, and the multiple sample synchronous monitoring and early warning information after the data identifier is used for supervision during the training until the model reaches convergence, and the monitoring and early warning unit that has been trained is obtained. The technical effect of improving the reliable monitoring and early warning of distributed photovoltaic power generation is achieved.

[0089] In summary, the embodiments of the present application have at least the following technical effects:

[0090] The present application accurately analyzes the layout of base stations in the area where distributed photovoltaic power stations are set up and the measured signal coverage area of ​​the base stations, and classifies K photovoltaic power stations into nearby base stations with the best signal transmission strength. M base stations are used to efficiently and stably transmit the power generation monitoring data of the K photovoltaic power stations, thereby achieving the technical effect of improving the quality of received data of the monitoring and early warning unit and improving the accuracy of monitoring and early warning of the power generation of distributed photovoltaic power stations.

[0091] Embodiment 2

[0092] Based on the same inventive concept as the distributed photovoltaic power generation intelligent monitoring and early warning method in the above-mentioned embodiment, Figure 2 As shown, the present application provides a distributed photovoltaic power generation intelligent monitoring and early warning system, and the system and method embodiments in the present application embodiments are based on the same inventive concept. The system includes:

[0093] The layout information collection module 11 is used to collect the layout information of distributed photovoltaic power stations and base station layout information in the target area, wherein the distributed photovoltaic power station layout information includes K photovoltaic power stations and K photovoltaic power station positioning information, and the base station layout information includes M base stations and M base station positioning information;

[0094] A measured signal coverage area determination module 12 is used to perform data mining on the base station data transmission records of the M base stations to determine M measured signal coverage areas of the M base stations;

[0095] The photovoltaic power station partition set obtaining module 13 is used to divide the K photovoltaic power stations into transmission base stations based on the M measured signal coverage areas and the M base station positioning information, combined with the K photovoltaic power station positioning information, to obtain M photovoltaic power station partition sets, wherein each photovoltaic power station partition set corresponds to one base station;

[0096] The monitoring data set acquisition module 14 is used to traverse the M photovoltaic power station division sets to extract the power station monitoring data within the preset analysis window, and obtain the M power station power generation monitoring data sets;

[0097] The monitoring and early warning information acquisition module 15 is used to transmit the power generation monitoring data sets of M power stations to the monitoring and early warning unit through M base stations to obtain synchronous monitoring and early warning information.

[0098] Furthermore, the measured signal coverage area determination module 12 is used to perform the following steps:

[0099] Collecting M designed signal coverage areas of the M base stations;

[0100] Using the M designed signal coverage areas as indexes, data mining is performed on the base station construction test data to obtain M data transmission record sets and M transmission positioning identifier sets, wherein the data transmission records correspond to the transmission positioning identifiers one by one;

[0101] The actual signal coverage ranges of the M base stations are determined based on the M data transmission record sets and the M transmission positioning identifier sets, and the M measured signal coverage areas are generated.

[0102] Furthermore, the measured signal coverage area determination module 12 is used to perform the following steps:

[0103] Performing equal particle arrangement based on the area sizes of the M design signal coverage areas to obtain M particle arrangement diagrams, wherein the M particle arrangement diagrams include M design particle sets;

[0104] According to the transmission positioning identifiers in the M transmission positioning identifier sets, transmission particles are arranged in the M designed signal coverage areas to obtain M transmission particle arrangement diagrams, wherein the M transmission particle arrangement diagrams include M transmission particle sets, and each transmission particle corresponds to a transmission positioning identifier;

[0105] Using a mining mass identifier, performing similarity identification on the M particle arrangement diagrams and the M transmission particle arrangement diagrams to obtain a first similarity;

[0106] When the first similarity is less than or equal to a preset similarity threshold, generating a cloud data retrieval instruction;

[0107] According to the cloud data retrieval instruction, cloud transmission data mining is performed in combination with the M base stations and the M base station positioning information to obtain M cloud data transmission record sets and M cloud transmission positioning identifier sets;

[0108] The M cloud data transmission record sets and the M cloud transmission location identifier sets are added to the M data transmission record sets and the M transmission location identifier sets.

[0109] Furthermore, the measured signal coverage area determination module 12 is used to perform the following steps:

[0110] Using the base station transmission index as an index, searching the M data transmission record sets, and performing transmission strength analysis according to the search results to obtain the M base station transmission strength sets;

[0111] Taking the M base station positions in the M base station positioning information as starting points, constructing M first diffusion areas according to a preset diffusion radius;

[0112] Analyze the M base station transmission strength sets according to the M first diffusion areas to determine M first area transmission strengths, wherein the M first area transmission strengths are transmission capabilities of the M base stations when performing data transmission within the M first diffusion areas;

[0113] Performing edge diffusion on the M first diffusion areas according to the preset diffusion radius to obtain M second diffusion areas, wherein the M second diffusion areas include M second area transmission strengths, wherein the M second area transmission strengths are transmission capabilities of the M base stations when performing data transmission in the M second diffusion areas;

[0114] The M measured signal coverage areas are determined by iteratively identifying the edges of the measured signal coverage areas according to the transmission intensities of the M first areas and the transmission intensities of the M second areas, as well as the M first diffusion areas and the M second diffusion areas.

[0115] Furthermore, the measured signal coverage area determination module 12 is used to perform the following steps:

[0116] Determine whether the difference between the transmission strength of the M first regions and the transmission strength of the M second regions is less than or equal to a preset strength difference; if so, perform edge diffusion on the M second diffusion regions according to the preset diffusion radius to obtain M third diffusion regions;

[0117] If not, stop iterative identification and use the M second diffusion areas as the M measured signal coverage areas.

[0118] Furthermore, the monitoring data set acquisition module 14 is used to perform the following steps:

[0119] Obtain monitoring indicators of photovoltaic power plants;

[0120] The photovoltaic power station monitoring index is used as an index to retrieve the operation data of the photovoltaic power stations in the M photovoltaic power station division sets within a preset analysis window to obtain the power generation monitoring data set of the M power stations.

[0121] Furthermore, the photovoltaic power station monitoring indicators include theoretical power generation, actual power generation, grid-connected power, and inverter input power.

[0122] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned specific embodiments of this specification are described. In addition, the processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0123] The above description is only a preferred embodiment of the present application and is not intended to limit the present application. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application should be included in the protection scope of the present application.

[0124] This specification and drawings are merely exemplary illustrations of the present application and are deemed to cover any and all modifications, variations, combinations or equivalents within the scope of the present application. Obviously, a person skilled in the art may make various modifications and variations to the present application without departing from the scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalents, the present application intends to include these modifications and variations.

Claims

1. A distributed photovoltaic power generation intelligent monitoring and early warning method, characterized in that: The method comprises: Collecting distributed photovoltaic power station layout information and base station layout information in the target area, wherein the distributed photovoltaic power station layout information includes K photovoltaic power stations and K photovoltaic power station positioning information, and the base station layout information includes M base stations and M base station positioning information; Performing data mining on the base station data transmission records of the M base stations to determine M measured signal coverage areas of the M base stations; Based on the M measured signal coverage areas and the M base station positioning information, the K photovoltaic power stations are divided into transmission base stations in combination with the K photovoltaic power station positioning information to obtain M photovoltaic power station division sets, wherein each photovoltaic power station division set corresponds to one base station; Traversing the M photovoltaic power station partition sets to extract power station monitoring data within a preset analysis window, and obtaining M power station power generation monitoring data sets; Transmitting the power generation monitoring data set of M power stations to the monitoring and early warning unit through M base stations to obtain synchronous monitoring and early warning information; Collecting M designed signal coverage areas of the M base stations; Using the M designed signal coverage areas as indexes, data mining is performed on the base station construction test data to obtain M data transmission record sets and M transmission positioning identifier sets, wherein the data transmission records correspond to the transmission positioning identifiers one by one; Determine the actual signal coverage range of the M base stations based on the M data transmission record sets and the M transmission positioning identifier sets, and generate the M measured signal coverage areas; Performing equal particle arrangement based on the area sizes of the M design signal coverage areas to obtain M particle arrangement diagrams, wherein the M particle arrangement diagrams include M design particle sets; According to the transmission positioning identifiers in the M transmission positioning identifier sets, transmission particles are arranged in the M designed signal coverage areas to obtain M transmission particle arrangement diagrams, wherein the M transmission particle arrangement diagrams include M transmission particle sets, and each transmission particle corresponds to a transmission positioning identifier; Using a mining mass identifier, performing similarity identification on the M particle arrangement diagrams and the M transmission particle arrangement diagrams to obtain a first similarity; When the first similarity is less than or equal to a preset similarity threshold, generating a cloud data retrieval instruction; According to the cloud data retrieval instruction, cloud transmission data mining is performed in combination with the M base stations and the M base station positioning information to obtain M cloud data transmission record sets and M cloud transmission positioning identifier sets; The M cloud data transmission record sets and the M cloud transmission location identifier sets are added to the M data transmission record sets and the M transmission location identifier sets.

2. A distributed photovoltaic power generation intelligent monitoring and early warning method as claimed in claim 1, characterized in that: include: Using the base station transmission index as an index, searching the M data transmission record sets, and performing transmission strength analysis according to the search results to obtain the M base station transmission strength sets; Taking the M base station positions in the M base station positioning information as starting points, constructing M first diffusion areas according to a preset diffusion radius; Analyze the M base station transmission strength sets according to the M first diffusion areas to determine M first area transmission strengths, wherein the M first area transmission strengths are transmission capabilities of the M base stations when performing data transmission within the M first diffusion areas; Performing edge diffusion on the M first diffusion areas according to the preset diffusion radius to obtain M second diffusion areas, wherein the M second diffusion areas include M second area transmission strengths, wherein the M second area transmission strengths are transmission capabilities of the M base stations when performing data transmission in the M second diffusion areas; The M measured signal coverage areas are determined by iteratively identifying the edges of the measured signal coverage areas according to the transmission intensities of the M first areas and the transmission intensities of the M second areas, as well as the M first diffusion areas and the M second diffusion areas.

3. A distributed photovoltaic power generation intelligent monitoring and early warning method as claimed in claim 2, characterized in that: include: Determine whether the difference between the transmission strength of the M first regions and the transmission strength of the M second regions is less than or equal to a preset strength difference; if so, perform edge diffusion on the M second diffusion regions according to the preset diffusion radius to obtain M third diffusion regions; If not, stop iterative identification and use the M second diffusion areas as the M measured signal coverage areas.

4. A distributed photovoltaic power generation intelligent monitoring and early warning method as claimed in claim 1, characterized in that: include: Obtain monitoring indicators of photovoltaic power plants; The photovoltaic power station monitoring index is used as an index to retrieve the operation data of the photovoltaic power stations in the M photovoltaic power station division sets within a preset analysis window to obtain the power generation monitoring data set of the M power stations.

5. A distributed photovoltaic power generation intelligent monitoring and early warning method as claimed in claim 4, characterized in that: The photovoltaic power station monitoring indicators include theoretical power generation, actual power generation, grid-connected power, and inverter input power.

6. A distributed photovoltaic power generation intelligent monitoring and early warning system, characterized in that: The system is used to implement a distributed photovoltaic power generation intelligent monitoring and early warning method as described in any one of claims 1 to 5, and the system comprises: A layout information collection module is used to collect the layout information of distributed photovoltaic power stations and base station layout information in the target area, wherein the distributed photovoltaic power station layout information includes K photovoltaic power stations and K photovoltaic power station positioning information, and the base station layout information includes M base stations and M base station positioning information; A measured signal coverage area determination module, configured to perform data mining on the base station data transmission records of the M base stations to determine M measured signal coverage areas of the M base stations; A photovoltaic power station partition set acquisition module is used to divide the K photovoltaic power stations into transmission base stations based on the M measured signal coverage areas and the M base station positioning information, combined with the K photovoltaic power station positioning information, to obtain M photovoltaic power station partition sets, wherein each photovoltaic power station partition set corresponds to one base station; A monitoring data set acquisition module is used to traverse the M photovoltaic power station division sets to extract the power station monitoring data within a preset analysis window, and obtain the M power station power generation monitoring data sets; The monitoring and early warning information acquisition module is used to transmit the power generation monitoring data sets of M power stations to the monitoring and early warning unit through M base stations to obtain synchronous monitoring and early warning information.

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