A wind turbine site micro-siting system, method and electronic device

Abstract

This invention relates to the field of wind farm micro-situation technology, and discloses a wind turbine site micro-situation system, method, and electronic equipment. The system includes: multiple survey terminals, a survey point storage module, and a cloud detection module. The survey point storage module includes multiple storage sub-modules. The survey terminals are used to conduct on-site surveys of each turbine site in a benchmark set to obtain survey information for each site. The turbine site classification module is used to classify the turbine sites in the benchmark set according to the survey information and store the survey information of each site in its respective storage sub-module according to the classification results. The cloud detection module is used to perform validity checks on the survey information of each storage sub-module to obtain valid turbine sites. Different detection methods are used for validity checks on the survey information in different storage sub-modules. This invention achieves one-time completion of wind turbine site micro-situation, improving the efficiency and accuracy of site selection.

Description

Technical Field

[0001] This invention relates to the field of wind farm micro-situation technology, specifically to a wind turbine site micro-situation system, method, and electronic equipment. Background Technology

[0002] The current on-site survey process for micro-site selection of wind farms generally follows a "wind resource-driven, paper-based, single-machine photography, and manual compilation" model: the project team first has wind resource engineers delineate turbine locations based on macro-site selection results, and then notify civil engineering, road construction, and power collection line professionals to conduct on-site verification in batches; each professional independently records topography, geological conditions, construction access roads, power line corridors, and substation interfaces, etc. On-site information is mainly based on text sketches and single-point photos, lacking a unified coordinate benchmark and a real-time sharing mechanism. After returning to the camp, the data needs to be manually sorted, renamed, and pieced together, and multiple rounds of coordination meetings are held before problems such as coordinate misalignment, missing photos, and conflicting professional opinions are discovered, leading to repeated resurveys and project delays.

[0003] Although new technologies such as UAV aerial surveying, lidar, and CFD numerical simulation have emerged in recent years, they mainly address the accuracy of wind resource or terrain mapping and do not yet cover the complete workflow of "multi-disciplinary parallelism - real-time recording - automatic verification - closed-loop correction". At the same time, current GIS mobile applications are mostly used for inspection or asset positioning, lacking four-directional image specifications, professional form templates, and defect verification rules for wind power reconnaissance.

[0004] Therefore, severe information silos, delayed defect discovery, and high rework rates during the on-site survey phase have become key bottlenecks restricting the construction cycle and cost control of wind farms. Summary of the Invention

[0005] This invention provides a micro-site selection system, method, and electronic equipment for wind turbine sites to solve the problems of severe information silos, delayed defect detection, and high rework rate in the reconnaissance phase of related technologies.

[0006] In a first aspect, the present invention provides a micro-location system for wind turbine sites, the system comprising: The system comprises multiple reconnaissance terminals, a reconnaissance point storage module, and a cloud-based detection module. The reconnaissance point storage module includes multiple storage sub-modules. The reconnaissance terminals are used to conduct on-site reconnaissance of each location in the benchmark set to obtain the reconnaissance information of each location. The location classification module is used to classify the locations in the benchmark set according to the reconnaissance information and store the reconnaissance information of each location into the respective storage sub-module according to the classification results. The cloud-based detection module is used to perform validity checks on the reconnaissance information of the locations in each storage sub-module to obtain valid locations. Different detection methods are used when performing validity checks on the reconnaissance information in different storage sub-modules.

[0007] The wind turbine site micro-situation system provided by this invention supports simultaneous on-site surveys by multiple disciplines, including wind resources and civil engineering, through multiple survey terminals to obtain accurate survey information. This avoids the delays caused by the separate entry of different disciplines in traditional technologies. Furthermore, it categorizes and stores different types of turbine site data separately, making the survey information clear, organized, and facilitating rapid retrieval. Simultaneously, this system also includes a cloud-based detection module that performs differentiated verification on data from different sub-modules, promptly reporting invalid survey information and ultimately obtaining a report of valid survey points. This avoids misjudgments caused by uniform detection standards and improves the accuracy of turbine site validity detection. It solves the core problems of information silos, delayed defect detection, and high rework rates in the existing wind farm micro-situation on-site survey process, providing efficient and reliable support for wind farm turbine site micro-situation.

[0008] In one optional implementation, the storage submodule includes an invariant point storage module, a fine-tuning point storage module, a deleted point storage module, and a newly added point storage module; If the reconnaissance information determines that the location points in the benchmark set do not need adjustment, the reconnaissance information of the location points is stored in the unchanged location storage module. If the reconnaissance information determines that the location points in the benchmark set need optimization, the reconnaissance information of the location points is stored in the fine-tuning location storage module, and the reconnaissance information includes the measured location information of the optimized location points. If the reconnaissance information determines that the location points in the benchmark set need to be discarded, the reconnaissance information of the location points is stored in the deleted location storage module. If the location points obtained by the reconnaissance terminal do not exist in the benchmark set, the reconnaissance information of the location points is stored in the added location storage module.

[0009] The wind turbine site micro-location system provided by this invention classifies storage sub-modules into a fixed site storage module, a fine-tuning site storage module, a deleted site storage module, and a new site storage module. It also formulates classification storage rules that match the actual on-site survey results, converting the survey information into clear classification data files. This not only solves the problems of chaotic storage of site data in different states, difficulty in rapid retrieval and traceability in the traditional site selection process, but also provides convenience for subsequent cloud-based detection of differentiated verification for different types of site locations.

[0010] In one alternative implementation, the system includes: If the location points in the benchmark set do not require adjustment, the original identifiers of the location points are retained, the reconnaissance information is marked using the original identifiers, and the original identifiers and reconnaissance information are stored in the unchanged location storage module. If the location points in the benchmark set need to be optimized, the original identifiers of the location points are combined with the preset fine-tuning identifiers to generate new identifiers, the reconnaissance information is marked using the new identifiers, and the new identifiers and reconnaissance information are stored in the fine-tuning location storage module. If the location points in the benchmark set need to be discarded, the original identifiers of the location points are retained, the reconnaissance information is marked using the original identifiers, and the original identifiers and reconnaissance information are stored in the deleted location storage module.

[0011] The wind turbine site micro-location system provided by this invention, by customizing differentiated identification and storage rules for three types of wind turbine sites—unchanged sites, fine-tuned sites, and deleted sites—achieves the goal of combining the original site information from the benchmark set with different site conditions, making the information of the surveyed sites traceable and ensuring the uniqueness of site identification and the continuity of data in the GIS system.

[0012] In one optional implementation, the reference set contains the location coordinates of each machine site, and the reconnaissance information contains the measured location information of the machine sites. The cloud-based detection module includes an identifier detection submodule; For the constant location storage module, if the identifier of the machine point in the constant location storage module exists in the reference set, and the measured location information corresponding to the identifier in the constant location storage module is the same as the location coordinates corresponding to the identifier in the reference set, then the identifier detection submodule determines the machine point as a valid machine point. For the fine-tuning location storage module, the identifier detection submodule is used to extract the original identifier from the identifiers of each machine point. If the original identifier of the machine point is not duplicated, and the original identifier exists in the reference set, the identifier detection submodule determines the machine point as a valid machine point. For the newly added location storage module, if the format of the identifier of the machine point in the newly added location storage module is consistent with the preset format, then the identifier detection submodule determines the machine point as a valid machine point.

[0013] The wind turbine site micro-location system provided by this invention performs differential verification on three types of sites: unchanged sites, fine-tuned sites, and newly added sites, through an identifier detection submodule. This solves the problems of traditional identifier verification, which only focuses on the encoding format and ignores spatial location deviation, unclear reference source of fine-tuned sites, and chaotic identifier format of newly added sites. It achieves accurate initial screening of site identifiers, significantly reduces the amount of invalid data, and improves the efficiency of wind farm micro-location.

[0014] In one optional implementation, the reconnaissance information further includes image information of the aircraft location, the storage submodule stores multiple reconnaissance information corresponding to one aircraft location, and the cloud detection module further includes: The image detection submodule is used to detect the image information of the camera site and obtain the image validity detection result; the consistency detection submodule is used to detect the consistency between multiple reconnaissance information corresponding to the camera site and obtain the consistency detection result; the detection result determination submodule determines the camera site as a valid camera site if the identifier detection submodule determines that the camera site is a valid camera site, and the image validity detection result meets the first preset condition, and the consistency detection result meets the second preset condition.

[0015] The wind turbine site micro-location system provided by this invention performs multi-dimensional verification of site information through a cloud-based detection module. This solves the problems of traditional verification, which only focuses on markers and coordinates and ignores the lack of image evidence and conflicting professional opinions. By comprehensively judging valid site locations through a triple-layer approach, invalid data is filtered out, making the verification of site validity more comprehensive and accurate. This provides high-quality data for subsequent manual review and reduces the workload of invalid review.

[0016] In one alternative implementation, the system further includes: The invalid site feedback module, if the detection result determines that the site in the survey point storage module is an invalid site, is used to feed back the invalid site to the user terminal so that the user can correct the invalid site through the user terminal.

[0017] The wind turbine site micro-location system provided by this invention accurately feeds back invalid turbine sites detected and judged by the cloud and their corresponding invalid reasons to the user end through an invalid site feedback module. This not only solves the problems of delayed detection of invalid sites and lack of clear direction for correction in traditional site selection, but also allows users to carry out targeted operations such as re-taking images and adjusting coordinates, avoiding blind re-surveying or rework, and greatly improving the efficiency of invalid data correction.

[0018] In one alternative implementation, the system further includes: The valid location verification module is used to receive user verification information for valid machine locations; The valid reconnaissance report generation module is used to summarize the reconnaissance information of valid site locations that have been approved by the user and generate a valid reconnaissance report.

[0019] The wind turbine site micro-site selection system provided by this invention, through the effective site verification module and the effective site survey report generation module, not only allows the effective site data detected by the cloud to be manually verified to make up for the omissions that may exist in automatic detection and ensure data reliability, but also automatically summarizes all the verified site survey information with the help of the report generator, which solves the problems of low efficiency and inconsistent formats in traditional site selection, such as manually sorting out multi-disciplinary data and compiling reports.

[0020] In one alternative implementation, the system further includes: The trajectory point detection module is used to acquire the location information of each reconnaissance terminal in real time, form the trajectory of each reconnaissance terminal based on the location information, and identify anomalies in the trajectory.

[0021] The wind turbine site micro-location system provided by this invention uses a trajectory point detection module to verify whether the reconnaissance terminal has actually reached the target turbine site by acquiring the real-time reconnaissance trajectory generated by the reconnaissance terminal, thus ensuring the authenticity of the on-site reconnaissance. Furthermore, the system analyzes the trajectory to promptly identify anomalies such as trajectory interruptions and drifts, displaying the true process of the on-site reconnaissance operation and avoiding data distortion caused by trajectory anomalies.

[0022] Secondly, the present invention provides a micro-location method for wind turbine sites, the method comprising: On-site reconnaissance was conducted on each site in the baseline set to obtain reconnaissance information for each site. The sites in the baseline set were then classified based on the reconnaissance information, and the reconnaissance information for each site was stored according to the classification results. The validity of the reconnaissance information corresponding to different classification results was tested to obtain valid sites.

[0023] Thirdly, the present invention provides an electronic device, comprising: a memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the computer instructions to perform the wind turbine site micro-location method of the second aspect described above.

[0024] Fourthly, the present invention provides a computer-readable storage medium storing computer instructions for causing a computer to execute the wind turbine site micro-location method of the second aspect described above.

[0025] Fifthly, the present invention provides a computer program product, including computer instructions for causing a computer to execute the wind turbine site micro-location method described in the second aspect above. Attached Figure Description

[0026] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0027] Figure 1 This is a structural block diagram of a wind turbine site micro-location system according to an embodiment of the present invention; Figure 2 This is a flowchart illustrating the micro-location method for wind turbine sites according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the hardware structure of an electronic device according to an embodiment of the present invention. Detailed Implementation

[0028] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0029] It is understood that before using the technical solutions disclosed in the various embodiments of the present invention, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in the present invention and their authorization should be obtained in accordance with relevant laws and regulations through appropriate means.

[0030] In the description of this invention, "a plurality of" means two or more, unless otherwise explicitly specified.

[0031] like Figure 1 As shown, this embodiment of the invention provides a micro-site selection system for wind turbine sites. By classifying and processing the acquired actual survey information and performing cloud-based detection, the system completes the micro-site selection of wind turbine sites in one go and outputs an effective site report, thereby improving the efficiency and accuracy of micro-site selection.

[0032] The wind turbine site micro-location system includes: multiple survey terminals 10, a survey point storage module 30, and a cloud detection module 40. The survey point storage module includes multiple storage sub-modules.

[0033] The reconnaissance terminal 10 is used to conduct on-site reconnaissance of each machine site in the benchmark set and obtain the reconnaissance information of each machine site.

[0034] In one optional embodiment, the reference set is a pre-planned spatial coordinate library of machine site locations in the GIS system, and the measured machine site location information obtained by the reconnaissance terminal 10 through GIS mobile acquisition is the actual on-site data.

[0035] In one optional embodiment, conducting on-site reconnaissance of each turbine site in the benchmark set involves classifying each turbine site in the benchmark set according to professional types such as wind resources, civil engineering, roads, and power collection lines, based on the macro-site selection results, forming reconnaissance teams, assigning a subset of turbine sites to each team, and conducting parallel operations to ultimately obtain the reconnaissance information of each turbine site.

[0036] In one alternative embodiment, the site survey information is the result of verification by a professional team covering wind resources, civil engineering, roads, power transmission lines, etc.

[0037] Specifically, the following data needs to be obtained at the survey terminal 10: 1. Obtain the reconnaissance trajectory data collected in real time by the reconnaissance team.

[0038] 2. Upon arrival at the camera position center, the equipment uses an electronic compass and gyroscope to guide each survey team to take photos in the four directions of east, south, west, and north, thus obtaining four-directional image data.

[0039] 3. The site inspection team fills in their professional verification opinions, risk levels, and suggested adjustments based on the built-in templates, and obtains the professional form data.

[0040] Furthermore, all the above data is synchronized in real time, with offline caching and breakpoint resume mechanisms, and is automatically encrypted and uploaded to the cloud after the network is restored.

[0041] The site classification module 20 is used to classify the site locations in the benchmark set according to the reconnaissance information, and store the reconnaissance information of each site location into the respective storage sub-modules according to the classification results.

[0042] In one optional embodiment, the site locations are classified according to the state differences reflected by the on-site survey results, and the survey information of each site is stored in the corresponding storage submodule according to the classification results for subsequent retrieval and processing.

[0043] The cloud detection module 40 is used to detect the validity of the site survey information of the machine sites in each storage submodule and obtain valid machine sites. The detection method used is different when detecting the validity of the site survey information in different storage submodules.

[0044] In one optional embodiment, since the types of reconnaissance information in each storage submodule are different, the focus of detection for the reconnaissance information in different storage submodules is also different when detecting in the cloud. Therefore, different detection methods are used for the reconnaissance information in different storage submodules.

[0045] The wind turbine site micro-location system provided in this embodiment acquires real-time reconnaissance information through simultaneous on-site reconnaissance by multiple reconnaissance terminals, avoiding the delays caused by batch reconnaissance in traditional technologies. Furthermore, it categorizes and stores different types of turbine site data separately, making the reconnaissance information clear and organized, facilitating rapid data retrieval. Simultaneously, this system also includes a cloud-based detection module to perform differentiated verification on data from different sub-modules, ultimately obtaining valid reconnaissance points. This avoids misjudgments caused by uniform detection standards and improves the accuracy of turbine site validity detection. Ultimately, it obtains valid reconnaissance turbine sites, achieving efficient reconnaissance operations.

[0046] In one optional implementation, the storage submodule includes an invariant point storage module 31, a fine-tuning point storage module 32, a deleted point storage module 33, and a newly added point storage module 34. In one optional embodiment, before the reconnaissance task begins, the system generates an initial GIS project folder structure, which includes the following four dedicated subfolders: unchanged point storage folder, fine-tuned point storage folder, deleted point storage folder, and newly added point storage folder.

[0047] If the reconnaissance information determines that the machine site locations in the benchmark set do not need to be adjusted, then the reconnaissance information of the machine site locations is stored in the invariant location storage module 31.

[0048] In an optional embodiment, if the reconnaissance information shows that the location of the machine site fully meets the design requirements of the benchmark set and no adjustment is required, the reconnaissance information of the machine site is stored in the constant location storage module 31.

[0049] If the reconnaissance information determines that the machine site locations in the benchmark set need to be optimized, the reconnaissance information of the machine site locations is stored in the fine-tuning point storage module 32. The reconnaissance information includes the measured location information of the optimized machine site locations.

[0050] In an optional embodiment, if the reconnaissance information shows that the machine site needs to be adjusted by a small range of displacement for position optimization, for example, if the original machine site encounters local geological defects, the reconnaissance information of the machine site is stored in the fine-tuning point storage module 32, and the actual position after adjustment is recorded to distinguish it from the original reference coordinates.

[0051] If the reconnaissance information determines that a site in the benchmark set needs to be abandoned, the reconnaissance information of the site is stored in the deletion site storage module 33.

[0052] In an optional embodiment, if the reconnaissance information has unavoidable ecological limitations, serious geological risks, etc., that is, the site is completely unusable, the reconnaissance information of the site is stored in the deletion site storage module 33.

[0053] If the site location obtained by the reconnaissance terminal does not exist in the baseline set, the reconnaissance information of the site location will be stored in the newly added site storage module 34.

[0054] In an optional embodiment, if a better location for a machine site is found outside the baseline set during the reconnaissance process, the reconnaissance information of that machine site is stored in the new location storage module 34.

[0055] For example, if a better location for the rig is found on site and a new rig site needs to be added, the reconnaissance information of the new rig site is stored in the new site storage folder, named in the format: new_YYYYMMDDHHMMSS (Coordinated Universal Time timestamp), such as new_20250916143022, and the coordinates, elevation, surrounding environment and other information are fully entered.

[0056] The wind turbine site micro-location system provided in this embodiment classifies storage sub-modules into a fixed site storage module, a fine-tuning site storage module, a deleted site storage module, and a new site storage module. It also formulates classification storage rules that match the actual on-site survey results, converting the survey information into clear classification data files. This not only solves the problems of chaotic storage of site data in different states, difficulty in rapid retrieval and traceability in the traditional site selection process, but also provides convenience for subsequent cloud-based detection of differentiated verification for different types of site locations.

[0057] In an optional implementation, in the system provided by the present invention, if it is determined that the machine site in the benchmark set does not need to be adjusted, the original identifier of the machine site is retained, the reconnaissance information is marked using the original identifier, and the original identifier and the reconnaissance information are stored in the invariant point storage module 31.

[0058] In one optional embodiment, each location in the baseline set is assigned a unique original identifier in the GIS system, such as a unique spatial code combining geographic coordinates and project code. This identifier is bound one-to-one with the pre-planned GIS spatial data of the location. If the location does not require adjustment, the reconnaissance information marked with the original identifier is directly used to ensure data matching with the baseline set.

[0059] For example, if a location in the baseline set is determined by a multi-disciplinary team to be unadjustable, it is moved to the unchanging location storage folder, retains its original number, and the location information is recorded.

[0060] If the location points in the benchmark set need to be optimized, the original identifier of the location point and the preset fine-tuning identifier are combined to generate a new identifier. The new identifier is used to mark the reconnaissance information, and the new identifier and reconnaissance information are stored in the fine-tuning point storage module 32.

[0061] In an optional embodiment, if the location of the machine point needs to be optimized, the original identifier alone cannot distinguish the location data before and after the adjustment. In this case, a preset fine-tuning identifier needs to be added on the basis of the original number, and the two are combined to generate a new identifier, which retains the association with the reference set and can uniquely identify the adjusted location version.

[0062] For example, if the location points in the benchmark set need to be optimized by a small range of displacement, they are moved to the fine-tuning location storage folder, and then the location information is collected: the origin point is copied to generate a new point, and the new point is named in the format of: [original number] + "fine-tuning", and the location information after fine-tuning is recorded.

[0063] If it is determined that the site locations in the benchmark set need to be abandoned, the original identifiers of the site locations are retained, the reconnaissance information is marked using the original identifiers, and the original identifiers and reconnaissance information are stored in the deleted site storage module 33.

[0064] In one optional embodiment, the original identifier is the core index of the pre-planned data of the associated benchmark set. If the site needs to be abandoned, the original identifier should be retained, and the survey information of the reason for abandonment should be bound to the original identifier and stored.

[0065] For example, if a location in the baseline set needs to be completely abandoned, it is moved to the deleted location storage folder, the original number is retained, and the on-site information is recorded.

[0066] The wind turbine site micro-location system provided in this embodiment customizes differentiated identification and storage rules for three types of turbine sites: unchanged turbine sites, fine-tuned turbine sites, and deleted turbine sites. It combines the original turbine site information in the benchmark set with different turbine site conditions to form new turbine site identifications and stores them, making the information of the surveyed turbine sites traceable.

[0067] In one optional implementation, the reference set contains the location coordinates of each machine site, the reconnaissance information contains the measured location information of the machine sites, and the cloud detection module includes an identifier detection submodule 41.

[0068] For the invariant location storage module 31, if the identifier of the machine point in the invariant location storage module 31 exists in the reference set, and the measured location information corresponding to the identifier in the invariant location storage module 31 is the same as the location coordinates corresponding to the identifier in the reference set, then the identifier detection submodule 41 determines that the machine point is a valid machine point.

[0069] In one optional embodiment, the requirement for an invariant machine point is that it is completely matched with the reference set. Its identifier is a unique index associated with the reference set, and the measured coordinates are a direct reflection of the spatial state on site. Therefore, only when the identifier index matching and the spatial coordinates are consistent can it be proven that the identifier of the invariant machine point is legal and the spatial position has not deviated. At this time, the machine point is determined to be a valid machine point.

[0070] For the fine-tuning point storage module 32, the identifier detection submodule 41 is used to extract the original identifier from the identifiers of each machine point. If the original identifier of the machine point is not duplicated and the original identifier exists in the reference set, the identifier detection submodule determines that the machine point is a valid machine point.

[0071] In one optional embodiment, since the identifier of a fine-tuning point is a combination of a valid original label and a fine-tuning identifier, duplicate original labels can lead to multiple fine-tuning machine point versions corresponding to the same reference point in the GIS system, causing data confusion. Therefore, the original identifier of the machine point must not be duplicated and the original identifier must come from the reference set in order to determine that the machine point is a valid machine point.

[0072] For the newly added location storage module 34, if the format of the machine location identifier in the newly added location storage module 34 is consistent with the preset format, then the identifier detection submodule 41 determines that the machine location is a valid machine location.

[0073] In an optional embodiment, since the newly added location has no original identifier in the reference set, it is only necessary to set a file naming format that conforms to the standard to determine that the location is a valid location.

[0074] In an optional embodiment, the standardized file naming format for newly added location points can be: new + 14-digit digital timestamp (yyyyMMddHHmmss).

[0075] The wind turbine site micro-location system provided in this embodiment performs differentiated verification on three types of sites: unchanged sites, fine-tuned sites, and newly added sites, through an identifier detection submodule. This solves the problems of traditional identifier verification, which only focuses on the encoding format and ignores spatial location deviation, unclear reference source for fine-tuned sites, and chaotic identifier format for newly added sites. It achieves accurate initial screening of site identifiers, significantly reduces the amount of invalid data, and improves the efficiency of wind farm micro-location.

[0076] In one optional implementation, the reconnaissance information also includes image information of the aircraft location, and the storage submodule stores multiple reconnaissance information corresponding to one aircraft location. The cloud detection module 40 also includes: The image detection submodule 42 is used to detect the image information of the machine location and obtain the image validity detection result.

[0077] In one optional embodiment, the number, angle, and clarity of four-directional photos in the four-directional image acquisition data obtained by the reconnaissance terminal 10 are detected to obtain the image validity detection result.

[0078] The consistency detection submodule 43 is used to detect the consistency between multiple reconnaissance information corresponding to the machine site and obtain the consistency detection result.

[0079] In one optional embodiment, since parallel operations by multiple disciplines may result in abnormal coordinate differences at the same machine position or conflicting opinions among professionals, it is necessary to compare the coordinate differences of machine positions recorded by different professional groups at the same machine position, mark the machine positions with conflicting opinions, and obtain consistency detection results.

[0080] If the identifier detection submodule determines the machine point as a valid machine point, and the image validity detection result meets the first preset condition, and the consistency detection result meets the second preset condition, then the detection result determination submodule determines the machine point as a valid machine point.

[0081] In an optional embodiment, the detection result determination submodule 44 needs to determine the camera sites that simultaneously meet the triple requirements of valid identifier, valid reconnaissance image, and consistent reconnaissance information among different professional groups as valid camera sites, and output the remaining camera sites that do not meet the requirements as invalid camera site information.

[0082] The wind turbine site micro-location system provided in this embodiment performs multi-dimensional verification of site information through a cloud-based detection module. This solves the problem that traditional verification only focuses on markers and coordinates, ignores the lack of image evidence and conflicting professional opinions. By comprehensively judging valid site locations through a triple approach, invalid data is filtered out, making the verification of site validity more comprehensive and accurate. This provides high-quality data for subsequent manual review and reduces the workload of invalid review.

[0083] In one optional implementation, the system provided by this embodiment of the invention further includes: The invalid point feedback module 45 is used to feed back invalid point locations to the user terminal if the detection result determination submodule determines that the machine point location in the survey point storage module 30 is an invalid machine point location. This allows the user to correct the invalid machine point location through the user terminal.

[0084] In an optional embodiment, the detection result determination submodule 44 outputs invalid location information. If there are invalid markers, missing images, conflicting professional opinions, etc., the invalid location feedback module 45 feeds back the invalid location information to the user terminal, so that the user can obtain the feedback information and correct the invalid location.

[0085] In one optional embodiment, users can correct invalid camera locations by taking additional photos of the location, adjusting the location coordinates, or modifying the opinions of various professional groups.

[0086] The wind turbine site micro-location system provided in this embodiment accurately feeds back invalid turbine sites detected and determined by the cloud and their corresponding invalid reasons to the user end through an invalid site feedback module. This not only solves the problems of delayed detection of invalid sites and lack of clear direction for correction in traditional site selection, but also allows users to carry out targeted operations such as re-taking images and adjusting coordinates, avoiding blind re-surveying or rework, and greatly improving the efficiency of invalid data correction.

[0087] In one alternative implementation, the system further includes: The valid location verification module 50 is used to receive user verification information for valid location points.

[0088] In an optional embodiment, the valid location approval module 50 allows users to view photos, trajectories, and conflict details of abnormal locations through a visual interface, perform one-click approval and confirmation, and mark valid location points.

[0089] The valid reconnaissance report generation module 60 is used to summarize the reconnaissance information of valid site locations that have been approved by the user and generate a valid reconnaissance report using a report generator.

[0090] In an optional embodiment, the valid reconnaissance report generation module 60 summarizes the valid location points marked by the user in the valid location verification module 50, inputs them into the report generator, and automatically generates a valid reconnaissance report.

[0091] In one optional embodiment, the effective reconnaissance report includes the coordinates of the aircraft position, four-directional images, opinions from various professionals, risk level, and also includes a visualized reconnaissance route, which is directly imported into the GIS platform in KML / SHP format.

[0092] In an optional embodiment, the effective reconnaissance report generation module 60 can also generate a follow-up reconnaissance plan, which sorts the locations to be reconnaissanced and those not yet reconnaissanced according to distance, terrain and priority, and generates a Gantt chart and a resource requirement list for the project manager to schedule with one click.

[0093] The wind turbine site micro-site selection system provided in this embodiment, through the effective site verification module and the effective site survey report generation module, not only allows the effective site data detected by the cloud to be manually verified to make up for the omissions that may exist in automatic detection and ensure data reliability, but also automatically summarizes all the verified site survey information with the help of the report generator, which solves the problems of low efficiency and inconsistent formats in traditional site selection, such as manually sorting out multi-disciplinary data and compiling reports.

[0094] In one optional implementation, the system further includes a trajectory point detection module 70, which is used to acquire the location information of each reconnaissance terminal in real time, form the trajectory of each reconnaissance terminal based on the location information, and identify anomalies in the trajectory.

[0095] In an optional embodiment, the trajectory point detection module 70 automatically records the trajectory of the reconnaissance terminal 10, acquires and caches real-time collected reconnaissance trajectory data, identifies anomalies in the trajectory, and guides the reconnaissance personnel to retest or correct the abnormal trajectory through a visual interface.

[0096] In an optional embodiment, the trajectory point detection module 70 performs the following analysis on the acquired trajectory point information: 1. Trajectory Segmentation: Based on the list of camera positions and the preset reconnaissance path, identify each segment of the movement process "from camera position A to camera position B"; 2. Interruption detection: If the time difference between two adjacent points is less than 60 seconds and the spatial distance is less than 20 meters, it is considered "staying in place"; if the time difference is greater than 180 seconds and there are no subsequent points, it is marked as "track interruption". 3. Drift identification: The trajectory is smoothed by Kalman filtering and velocity constraint method. A maximum reasonable speed threshold is set (e.g., 3m / s for walking, 15m / s for vehicles). If the displacement speed exceeds twice the threshold and the duration is greater than 10 seconds, it is judged as GPS drift.

[0097] The wind turbine site micro-location system provided in this embodiment uses a trajectory point detection module to verify whether the reconnaissance terminal has actually reached the target turbine site by acquiring the real-time reconnaissance trajectory generated by the reconnaissance terminal, thus ensuring the authenticity of the on-site reconnaissance. Furthermore, the system analyzes the trajectory to promptly identify anomalies such as trajectory interruptions and drifts, displaying the true process of the on-site reconnaissance operation and avoiding data distortion caused by trajectory anomalies.

[0098] This embodiment also provides a micro-location method for wind turbine sites, which can be used in the above-described micro-location system for wind turbine sites and its preferred implementation. Details that have already been described will not be repeated here. Figure 2 This is a flowchart of a wind turbine site micro-location method according to an embodiment of the present invention, such as... Figure 2 As shown, the process includes the following steps: Step S201: Conduct on-site reconnaissance of each location in the benchmark set to obtain the reconnaissance information of each location.

[0099] Step S202: Classify the machine sites in the benchmark set according to the reconnaissance information, and store the reconnaissance information of each machine site according to the classification results.

[0100] Step S203: Validity detection is performed on the reconnaissance information corresponding to different classification results to obtain valid location points.

[0101] The following is a detailed reference. Figure 3 The diagram illustrates a structural schematic suitable for implementing an electronic device according to embodiments of the present invention. The electronic device may include a processor (e.g., a central processing unit, graphics processor, etc.) 301, which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 302 or a program loaded from memory 308 into random access memory (RAM) 303. The RAM 303 also stores various programs and data required for the operation of the electronic device. The processor 301, ROM 302, and RAM 303 are interconnected via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0102] Typically, the following devices can be connected to I / O interface 305: input devices 306 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 307 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; memory devices 308 including, for example, magnetic tapes, hard disks, etc.; and communication devices 309. Communication device 309 allows electronic devices to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 3 Electronic devices with various devices are shown, but it should be understood that it is not required to implement or have all of the devices shown, and more or fewer devices may be implemented or have instead.

[0103] In particular, according to embodiments of the present invention, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present invention include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 309, or installed from a memory 308, or installed from a ROM 302. When the computer program is executed by the processor 301, it performs the functions defined in the wind turbine site micro-addressing method of the embodiments of the present invention.

[0104] Figure 3 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of use of the embodiments of the present invention.

[0105] This invention also provides a computer-readable storage medium. The methods described above according to embodiments of the invention can be implemented in hardware or firmware, or implemented as computer code that can be recorded on a storage medium, or implemented as computer code downloaded via a network and originally stored on a remote storage medium or a non-transitory machine-readable storage medium and then stored on a local storage medium. Thus, the methods described herein can be processed by software stored on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. The storage medium can be a magnetic disk, optical disk, read-only memory, random access memory, flash memory, hard disk, or solid-state drive, etc.; further, the storage medium can also include combinations of the above types of memory. It is understood that computers, processors, microprocessor controllers, or programmable hardware include storage components capable of storing or receiving software or computer code. When the software or computer code is accessed and executed by the computer, processor, or hardware, the wind turbine site micro-location method shown in the above embodiments is implemented.

[0106] A portion of this invention can be applied as a computer program product, such as computer program instructions, which, when executed by a computer, can invoke or provide the methods and / or technical solutions according to the invention through the operation of the computer. Those skilled in the art will understand that the forms in which computer program instructions exist in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executing the instructions, or the computer compiling the instructions and then executing the corresponding compiled program, or the computer reading and executing the instructions, or the computer reading and installing the instructions and then executing the corresponding installed program. Here, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to a computer.

[0107] Although embodiments of the invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the invention, and such modifications and variations all fall within the scope defined by the appended claims.

Claims

1. A micro-location system for wind turbine sites, characterized in that, The system includes: Multiple reconnaissance terminals, a reconnaissance point storage module, and a cloud detection module, wherein the reconnaissance point storage module includes multiple storage sub-modules; The reconnaissance terminal is used to conduct on-site reconnaissance of each machine site in the benchmark set and obtain the reconnaissance information of each machine site. The site classification module is used to classify the sites in the benchmark set according to the reconnaissance information, and store the reconnaissance information of each site into the respective storage sub-module according to the classification results. The cloud-based detection module is used to detect the validity of the site survey information in each storage submodule and obtain valid site locations. The detection method used is different when detecting the validity of the site survey information in different storage submodules. The storage submodule includes an invariant point storage module, a fine-tuning point storage module, a deleted point storage module, and a newly added point storage module. The reference set contains the location coordinates of each machine site, and the reconnaissance information contains the measured location information of the machine sites. The cloud-based detection module includes an identifier detection submodule. For the invariant location storage module, if the identifier of the machine location in the invariant location storage module exists in the reference set, and the measured location information corresponding to the identifier in the invariant location storage module is the same as the location coordinates corresponding to the identifier in the reference set, then the identifier detection submodule determines that the machine location is a valid machine location. For the fine-tuning point storage module, the identifier detection submodule is used to extract the original identifier from the identifiers of each machine point. If the original identifier of the machine point is not duplicated and the original identifier exists in the reference set, the identifier detection submodule determines that the machine point is a valid machine point. For the newly added location storage module, if the format of the identifier of the location in the newly added location storage module is consistent with the preset format, then the identifier detection submodule determines that the location is a valid location. The reconnaissance information also includes image information of the aircraft location; the storage submodule stores multiple reconnaissance information entries corresponding to one aircraft location; the cloud detection module also includes: The image detection submodule is used to detect the image information of the machine location and obtain the image validity detection result; The consistency detection submodule is used to detect the consistency between multiple reconnaissance information corresponding to the machine site and obtain the consistency detection result. If the identifier detection submodule determines that the location is a valid location, and the image validity detection result meets the first preset condition, and the consistency detection result meets the second preset condition, then the detection result determination submodule determines that the location is the final valid location.

2. The system according to claim 1, characterized in that, The storage submodule includes an unchanging point storage module, a fine-tuning point storage module, a deleted point storage module, and a newly added point storage module; If the reconnaissance information determines that the machine site locations in the benchmark set do not need to be adjusted, then the reconnaissance information of the machine site locations is stored in the invariant site storage module. If the reconnaissance information determines that the machine site locations in the benchmark set need to be optimized, then the reconnaissance information of the machine site locations is stored in the fine-tuning point storage module, and the reconnaissance information includes the measured location information of the optimized machine site locations. If the site locations in the benchmark set are determined to need to be abandoned based on the reconnaissance information, the reconnaissance information of the site locations will be stored in the deletion site storage module. If the location of the machine obtained by the reconnaissance terminal does not exist in the reference set, the reconnaissance information of the machine location will be stored in the newly added location storage module.

3. The system according to claim 2, characterized in that, include: If the location points in the benchmark set do not need to be adjusted, the original identifier of the location points is retained, the original identifier is used to mark the reconnaissance information, and the original identifier and the reconnaissance information are stored in the invariant location storage module. If the location points in the benchmark set need to be optimized, the original identifier of the location point and the preset fine-tuning identifier are combined to generate a new identifier. The new identifier is used to mark the reconnaissance information, and the new identifier and the reconnaissance information are stored in the fine-tuning point storage module. If it is determined that a site location in the benchmark set needs to be abandoned, the original identifier of the site location is retained, the original identifier is used to mark the reconnaissance information, and the original identifier and the reconnaissance information are stored in the deleted site storage module.

4. The system according to claim 1, characterized in that, The system also includes: The invalid location feedback module is used to feed back the invalid location to the user terminal if the detection result determination submodule determines that the location in the survey point storage module is an invalid location. This allows the user to correct the invalid location through the user terminal.

5. The system according to any one of claims 1 to 4, characterized in that, The system also includes: The valid location verification module is used to receive user verification information for the valid location; The valid reconnaissance report generation module is used to summarize the reconnaissance information of valid site locations that have been approved by the user and generate a valid reconnaissance report.

6. The system according to claim 1, characterized in that, The system also includes: The trajectory point detection module is used to acquire the location information of each reconnaissance terminal in real time, form the trajectory of each reconnaissance terminal based on the location information, and identify anomalies in the trajectory.

7. A micro-location method for wind turbine sites, characterized in that, The method includes: On-site reconnaissance was conducted for each location in the benchmark set to obtain reconnaissance information for each location; The reconnaissance information is used to classify the machine sites in the benchmark set, and the reconnaissance information of each machine site is stored according to the classification results. The validity of the reconnaissance information corresponding to different classification results was tested to obtain valid location points; The classification results include unchanged points, finely adjusted points, deleted points, and newly added points; The reference set contains the location coordinates of each machine site, and the reconnaissance information contains the measured location information of the machine sites. If the identifier of the invariant point exists in the reference set, and the measured location information corresponding to the identifier is the same as the location coordinates corresponding to the identifier in the reference set, then the machine point is determined to be a valid machine point. For fine-tuning points, the original identifier is extracted from the identifiers of each machine point. If the original identifier of the machine point is not duplicated and the original identifier exists in the reference set, the machine point is determined to be a valid machine point. For newly added locations, if the format of the identifier of the newly added location is consistent with the preset format, then the location is determined to be a valid location. The reconnaissance information also includes image information of the aircraft site, and multiple reconnaissance information corresponding to one aircraft site. The method further includes: The image information of the machine location is detected to obtain the image validity detection result; The consistency among multiple reconnaissance information corresponding to the machine site is detected, and the consistency detection results are obtained. If the location is a valid location, and the image validity detection result meets the first preset condition, and the consistency detection result meets the second preset condition, then the location is determined to be a final valid location.

8. An electronic device, characterized in that, include: The system includes a memory and a processor, which are interconnected. The memory stores computer instructions, and the processor executes the computer instructions to perform the micro-location method for wind turbine sites as described in claim 7.

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