A method for generating a field wind power environment exploration task

Abstract

The application relates to the field of geological exploration path planning, and discloses a generation method for a field wind power environment exploration task, which comprises the following steps: defining preset parameters, wherein the preset parameters comprise a geological block type, an exploration density, an exploration point type and an exploration working surface range; obtaining a topographic map of an exploration target area, dividing geological blocks in the topographic map, and determining the geological type of the geological blocks according to the preset parameters; wherein when the geological blocks are divided in the topographic map, boundary distinguishing and feathering boundary processing are performed; marking exploration points according to the geological type of the geological blocks; and encapsulating the coordinates, type and action parameters of the exploration points into an exploration task. According to the above technical scheme, geological exploration blind areas and redundant point distribution caused by local layout can be effectively avoided, the accuracy and execution efficiency of the exploration task are greatly improved, unnecessary field operation amount is significantly reduced, and interference and damage to the natural ecological environment are reduced.

Description

Technical Field

[0001] This invention relates to the field of geological exploration route planning, and more specifically, to a method for generating routes for field wind power environmental exploration tasks. Background Technology

[0002] In existing technologies, determining whether a region is suitable for installing wind power equipment and how to install it requires detailed geological exploration. This involves several steps: first, drone aerial photography is used to create a 3D terrain model; then, exploration points are manually marked; and finally, exploration tasks are assigned based on these markings. In practice, however, the assignment of exploration tasks generally relies on human experience, resulting in inefficiency and poor adaptability. Specifically: traditional point placement methods are static and pre-set, failing to consider the impact of complex terrain on the working face requirements of exploration equipment, potentially leading to planned points being unsuitable for actual construction; traditional GIS geological analysis can only perform simple geological block divisions, resulting in exploration blind spots at the boundaries of geological blocks, or duplicate point placement at these boundaries leading to excessively dense exploration points. From geological data interpretation to final task allocation, manual operation across different systems is required, resulting in fragmented processes, low overall efficiency, and susceptibility to human error. Core decisions such as geological type identification and determination of exploration point types and densities heavily rely on the personal experience of exploration personnel, lacking standardized and reusable rules, leading to inconsistent results and being unfriendly to novices. In practice, all of these situations inevitably cause significant and unnecessary damage to the natural environment.

[0003] Therefore, a method for generating field wind power environmental exploration tasks is needed, which can not only generate effective exploration tasks based on aerial photography results, but also effectively reduce unnecessary exploration workload and reduce unnecessary damage and impact on the natural environment. Summary of the Invention

[0004] To achieve the above objectives, this application provides a method for generating data for field wind power environmental exploration tasks, comprising the following steps: Define preset parameters, including geological block type, exploration density, exploration point type, and exploration working face range; Obtain a topographic map of the exploration target area, divide the topographic map into geological blocks, and determine the geological type of the geological blocks according to preset parameters; when dividing the geological blocks in the topographic map, perform boundary differentiation and feathering boundary processing. Exploration points are marked according to the geological type of the geological block; The coordinates, type, and action parameters of the exploration points are encapsulated into exploration tasks.

[0005] When distinguishing boundaries, the boundary line is drawn at the junction of adjacent geological blocks as the original boundary line.

[0006] When feathering the boundary, the original boundary line is extended to both sides by a preset distance to obtain the extended boundary lines on both sides, extending the geological block range from the original boundary line to the extended boundary line on the opposite side.

[0007] Furthermore, the marked exploration points include: Image recognition models are used to identify and label the geological types of geological blocks; Based on the relationship between geological block type and exploration density in the preset parameters, the exploration point type is determined, and the exploration points are marked in the geological block distribution; when marking exploration points, the scope of the exploration working face is confirmed. After the scope of the exploration working face is confirmed and processed, the adjacent exploration points are processed.

[0008] The process of confirming the scope of the exploration working face refers to the following: if the surrounding terrain of the exploration point does not meet the requirements of the scope of the exploration working face, the exploration point is moved towards the edge of the geological block with the center of the geological block as the midpoint until the terrain meets the requirements of the scope of the exploration working face.

[0009] Adjacent exploration point processing refers to: calculating the adjacent distance of all exploration points based on the center coordinates of the exploration points, and deleting the exploration point that is closer to the boundary of the geological block among any two exploration points whose adjacent distance is less than the adjacent threshold.

[0010] Furthermore, the geological block types include: sedimentary rock areas, igneous rock areas, metamorphic rock areas, loose deposit areas, water bodies, and deep pit areas.

[0011] The types of exploration points include: borehole sampling points, sonic testing points, rock mass integrity testing points, joint investigation points, static cone penetration points, standard penetration points, bank slope displacement monitoring points, and slope stress monitoring points.

[0012] This invention employs algorithms that deeply integrate Geographic Information System (GIS) spatial analysis and artificial intelligence image recognition, combined with boundary optimization processing, to achieve fully intelligent processing from raw data input to automatic deployment of exploration tasks. Compared to traditional methods relying on manual interpretation and fixed point placement, this invention achieves a high degree of adaptability in point placement within geological block boundary areas: on the one hand, boundary optimization effectively avoids geological exploration blind spots caused by local layout; on the other hand, it performs secondary optimization on redundant point placement that may result from boundary optimization. This not only significantly improves the accuracy and efficiency of exploration tasks but also significantly reduces unnecessary fieldwork, thereby mitigating interference and damage to the natural ecological environment. Attached Figure Description

[0013] Figure 1 This is a step diagram of a method for generating data for field wind power environmental exploration tasks, provided by an embodiment of the present invention. Detailed Implementation

[0014] The specific implementation of the present invention will now be described in detail with reference to the accompanying drawings.

[0015] The method for generating field wind power environmental exploration tasks provided by this invention is as follows: Figure 1 As shown, it includes the following steps: Step S100: Define preset parameters; The preset parameters are determined according to industry requirements and standards, and are used to quantify the environmental requirements when generating tasks for field wind power environmental exploration.

[0016] Specifically, the preset parameters include geological block type, exploration density, exploration point type, and exploration working face range. In this invention, the preset parameters for geological block type, exploration density, and exploration point type are shown in Table 1: Table 1. Correspondence between geological block type and baseline exploration density (Example 1)

[0017] Based on the environmental requirements of the exploration process, the characteristics of the equipment, and the details of the construction process, different working face ranges are set for different types of exploration points, as follows: 1) Drilling sampling point: 2.5m × 2.5m horizontal operating area; 2) Sound wave test point: a horizontal area of ​​2.0 meters × 2.0 meters; 3) Rock mass integrity test point: 1.5m × 1.5m horizontal area; 4) Joint survey point: 5m × 5m observation area; 5) Static cone penetration test point: 3.0 m × 2.0 m horizontal area; 6) Standard penetration point: 2.0m x 2.0m horizontal area; 7) Bank slope displacement monitoring point: 1.5m × 1.5m horizontal area; if automated monitoring is used, an additional 0.5m × 0.5m space is required for the solar power supply system; 8) Slope stress monitoring point: 1.2m × 1.2m plane operation area.

[0018] Step S110: Obtain a topographic map of the exploration target area, divide the topographic map into geological blocks, and determine the geological type of the geological blocks; First, the topographic map of the target area is obtained by the user selecting a box in the GIS system or by the user entering a list of coordinates for the outer box; Secondly, the geological blocks are segmented according to the color mode of the terrain map, and the boundaries and feathering boundaries are distinguished when dividing the geological blocks: 1) When distinguishing boundaries, draw the boundary line at the junction of adjacent geological blocks as the original boundary line; 2) When feathering the boundary, the original boundary line is extended equidistantly to both sides by a preset distance to obtain extended boundary lines on both sides, extending the geological block area from the original boundary line to the extended boundary line on the opposite side. The preset distance is set by the user and the value ranges from 10 to 50m.

[0019] At this point, the geological block area has expanded beyond the original boundary line, and there is overlap between multiple geological blocks.

[0020] Step S120: Mark exploration points according to the geological type of the geological block, and mark the action parameters of the exploration points; The action parameters for exploration points include: equipment type, exploration method, qualification requirements for exploration personnel, and required number of exploration personnel. Specifically, these action parameters can be obtained by reading a preset parameter file, which supports JSON, XML, or Excel spreadsheets. In practical applications, drilling may involve equipment such as core drilling rigs, thick-walled samplers, and thin-walled samplers. Different equipment types corresponding to different geological types are listed in the preset parameter file. When extracting action parameters, the exploration method is extracted according to each equipment type.

[0021] This step specifically includes: 1) Use image recognition models to identify and label the geological types of geological blocks; The image recognition model was trained using historical data using the AlexNet model. Existing technologies already have numerous image recognition models trained and built specifically for geological image recognition.

[0022] 2) Based on the relationship between the geological block type and exploration density in the preset parameters of step S100, determine the exploration point type and mark the exploration points in the geological block distribution.

[0023] When marking exploration points, the working area of ​​the exploration point is confirmed according to the working area requirements corresponding to the exploration point type in the preset parameters. Working area confirmation means that if the surrounding terrain (e.g., area) of the exploration point does not meet the requirements, the exploration point is moved towards the edge of the geological block, using the center as the midpoint, until the terrain meets the requirements. At this point, the exploration point is within the working area but not necessarily at the center; moving the exploration point moves the working area accordingly.

[0024] Based on the terrain constraints in the actual environment, when the initial exploration point cannot meet the working area, the search for workable locations is carried outward from the point until the terrain conditions meet the requirements. This directly solves the problem of "theoretically reasonable points but unable to be constructed in the field" in field exploration, and is especially suitable for complex terrains such as loose accumulation areas and deep pit areas.

[0025] 3) After the exploration face area is confirmed, adjacent exploration point processing is performed. Adjacent exploration point processing refers to calculating the adjacent distances of all exploration points based on their center coordinates, and deleting the exploration point closer to the geological block boundary from any two exploration points whose adjacent distance is less than the adjacent threshold. The adjacent threshold is preset by the user, with a value ranging from 10 to 50 meters.

[0026] In step 110, the boundary line is extended to both sides by feathering the boundary, forming a buffer zone for overlapping geological blocks, which expands the range of the geological blocks and improves the exploration blind zone caused by sharp boundaries in traditional methods. However, the overlap formed by the feathered boundary increases the number of redundant points. Therefore, in this step, redundant points are filtered by processing adjacent exploration points, and redundant points near the boundary are dynamically deleted, effectively avoiding point redundancy caused by the feathered boundary, thereby effectively avoiding "overly dense and wasteful" or "overly sparse and missed detections".

[0027] Step S130: Encapsulate the coordinates, type, and action parameters of each exploration point into an exploration task and publish it to the exploration task management system.

[0028] The encapsulated content uses a topographic map as a background, and the specific location of the exploration point and the exploration requirements are published directly to the exploration task management system as standard units, realizing a seamless connection between "data input and task output".

[0029] The generation method proposed in this invention for field wind power environmental exploration tasks mainly focuses on two-dimensional maps. However, in practice, mechanisms such as boundary feathering and dynamic adjustment of points can be extended to three-dimensional geological models. For example, borehole depth planning can be optimized in voxel models, thereby supporting more complex three-dimensional exploration scenarios.

[0030] This invention achieves full automation of the exploration task process from data input to task release by deeply integrating GIS spatial analysis, AI image recognition, and dynamic optimization algorithms. Compared with traditional methods that rely on manual interpretation and static point layout, this invention avoids geological blind spots and solves point redundancy in the adaptation of exploration points at geological block boundaries. It has made breakthrough progress in task effectiveness and generation efficiency, thereby effectively reducing unnecessary exploration workload and minimizing unnecessary damage and impact on the natural environment.

[0031] The above-disclosed embodiments are merely a few specific examples of the present invention. However, the present invention is not limited thereto, and any variations that can be conceived by those skilled in the art should fall within the protection scope of the present invention.

Claims

1. A method for generating data for field wind power environmental exploration tasks, characterized in that, Includes the following steps: Define preset parameters, including geological block type, exploration density, exploration point type, and exploration working face range; Obtain a topographic map of the exploration target area, divide the topographic map into geological blocks, and determine the geological type of the geological blocks according to the preset parameters; wherein, when dividing the geological blocks in the topographic map, boundary differentiation and feathering boundary processing are performed; Exploration points are marked according to the geological type of the geological block; The coordinates, type, and action parameters of the exploration points are encapsulated into an exploration task.

2. The method for generating data for field wind power environmental exploration tasks according to claim 1, characterized in that, When distinguishing boundaries, a boundary line is drawn at the intersection of adjacent geological blocks as the original boundary line.

3. The method for generating data for field wind power environmental exploration tasks according to claim 1, characterized in that, When feathering the boundary, the original boundary line is extended equidistantly to both sides by a preset distance to obtain extended boundary lines on both sides, extending the geological block range from the original boundary line to the extended boundary line on the opposite side.

4. The method for generating data for field wind power environmental exploration tasks according to claim 1, characterized in that, The marked exploration points include: Image recognition models are used to identify and label the geological types of geological blocks; Based on the relationship between geological block type and exploration density in the preset parameters, the exploration point type is determined, and the exploration points are marked in the geological block distribution; when marking the exploration points, the scope of the exploration working face is confirmed. After the scope of the exploration working face is confirmed and processed, the adjacent exploration points are processed.

5. The method for generating data for field wind power environmental exploration tasks according to claim 4, characterized in that, The process for confirming the scope of the exploration working face refers to: If the surrounding terrain of the exploration point does not meet the requirements of the exploration working area, the exploration point is moved towards the edge of the geological block, with the center of the geological block as the midpoint, until the terrain meets the requirements of the exploration working area.

6. The method for generating data for field wind power environmental exploration tasks according to claim 4, characterized in that, The adjacent exploration point processing refers to: calculating the adjacent distance of all exploration points based on the center coordinates of the exploration points, and deleting the exploration point that is closer to the boundary of the geological block among any two exploration points whose adjacent distance is less than the adjacent threshold.

7. The method for generating data for field wind power environmental exploration tasks according to claim 1, characterized in that, The geological block types include: sedimentary rock areas, igneous rock areas, metamorphic rock areas, loose deposit areas, water bodies, and deep pit areas.

8. The method for generating data for field wind power environmental exploration tasks according to claim 1, characterized in that, The types of exploration points include: borehole sampling points, sonic testing points, rock mass integrity testing points, joint investigation points, static penetration test points, standard penetration test points, bank slope displacement monitoring points, and slope stress monitoring points.

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