Physical point layout method and device for multi-attribute electronic fence

Abstract

The present invention discloses a method and device for arranging physical points for a multi-attribute electronic fence. The method comprises: determining electronic fences for various types of obstacles within a target work area based on a digital orthophoto map; determining electronic fences for various types of risk sources in high-risk areas within the target work area based on a digital elevation model; merging the electronic fences for various types of obstacles with the electronic fences for various types of risk sources to determine a multi-attribute electronic fence; and performing offset processing on physical points that fall within the multi-attribute electronic fence based on offset parameters of a standard observation system, so that they fall within an offset strip outside the multi-attribute electronic fence. The present invention performs multi-attribute identification of ground obstacles and terrain risks, extracts information about various obstacles and risk sources, and finally performs offset processing on physical points that fall within the multi-attribute electronic fence, thereby achieving rapid and optimized arrangement of seismic exploration physical points, improving the construction efficiency of oil exploration, and simultaneously reducing the construction risks of oil exploration.

Description

Technical Field

[0001] The present invention relates to the technical field of petroleum exploration, and in particular to a method and device for arranging physical points of a multi-attribute electronic fence. Background Art

[0002] This section is intended to provide a background or context to the embodiments of the invention that are recited in the claims. No statement herein is admitted to be prior art by virtue of its inclusion in this section.

[0003] Geographic Information Systems (GIS) is an emerging discipline based on computer technology. Based on geospatial databases, it uses computer hardware to collect, manage, manipulate, analyze, simulate, and display spatially relevant data. Using analytical methods such as geographic models, it provides a variety of spatial and dynamic geographic information in real time, facilitating geographic research and decision-making. With the rapid development of both software and hardware, GIS-related technologies are undergoing industrialization and are being applied to various fields, including oil exploration. For example, exploration and production are characterized by strong geographic attributes, with a large amount of data related to geographic information. Survey lines, work areas, well locations, and structural zones all have geodetic coordinates. These exploration data are inextricably linked to geographic data (including settlements, roads, and administrative boundaries). With the continuous expansion and increasing difficulty of field exploration and construction areas, and the growing awareness of construction safety risks, the demand for basic geographic information in construction is also rapidly increasing. Current oil exploration surveys require not only physical point staking results but also digital representation and in-depth analysis of the surface environment, topography, and landforms within the construction area. Seismic data acquisition accounts for over 80% of the total investment in oil exploration projects. The success of oil exploration projects is significantly impacted by safety risks, organizational efficiency, and the quality of geological target imaging. Therefore, there is a real need to further apply GIS-related data and technologies, which contain rich geographic information, to seismic data acquisition. However, the main challenges currently faced are as follows:

[0004] 1. Achieve the need for field safety in seismic acquisition construction projects

[0005] Seismic exploration in complex and difficult mountainous areas is more based on traditional well and blasting operations. Construction equipment mainly relies on people carrying it on their shoulders, which poses a high risk. Seismic exploration has also shifted from extensive construction to refined operations. In recent years, social conflicts and disputes caused by safety, environmental protection and other issues in seismic exploration have gradually increased, thus posing greater challenges and higher requirements for construction safety.

[0006] 2. The need to achieve efficient indoor design and field construction of seismic acquisition projects

[0007] With the full promotion of the "two wide and one high" technology and the increasing requirements of oil companies for exploration accuracy, the number of field acquisition and construction equipment has increased and the requirements for field construction operations have been improved. The complex mountainous terrain, the terrain around the basin is undulating, and some areas are densely populated. The "five avoidance and five follow-up" point selection and wiring principle formed by the Southwest Geophysical Branch over many years of exploration experience has achieved good results in actual production and effectively guaranteed the quality of seismic acquisition data. However, a large amount of manpower and material resources need to be invested in field surveys and measurements in the early stages of acquisition construction, which poses a great challenge to construction costs and efficiency. Summary of the Invention

[0008] An embodiment of the present invention provides a method for distributing physical points of a multi-attribute electronic fence, which is used to improve the efficiency of oil exploration and reduce the risks of oil exploration. The method includes:

[0009] Determine the electronic fences of various obstacles within the target work area based on the digital orthophoto map of the target work area;

[0010] Determine the electronic fences of various risk sources in high-risk areas within the target work area based on the digital elevation model;

[0011] Combine the electronic fences of various obstacles in the target work area with the electronic fences of various risk sources in the high-risk areas of the target work area to determine a multi-attribute electronic fence; the multi-attribute electronic fence includes ground obstacle information and terrain risk information;

[0012] The physical points falling into the multi-attribute electronic fence are offset according to the offset parameters of the standard observation system, so that the physical points falling into the multi-attribute electronic fence fall within the offset strip outside the multi-attribute electronic fence.

[0013] The present invention also provides a device for distributing physical points of a multi-attribute electronic fence, which is used to improve the efficiency of oil exploration and reduce the risks of oil exploration. The device includes:

[0014] The obstacle fence determination module is used to determine the electronic fences of various obstacles in the target work area based on the digital orthophoto map of the target work area;

[0015] The risk fence determination module is used to determine the electronic fences of various risk sources in high-risk areas within the target work area based on the digital elevation model;

[0016] The electronic fence merging module is used to merge the electronic fences of various obstacles in the target work area with the electronic fences of various risk sources in the high-risk areas of the target work area to determine the multi-attribute electronic fence; the multi-attribute electronic fence includes ground obstacle information and terrain risk information;

[0017] The physical point offset module is used to perform offset processing on the physical points falling into the multi-attribute electronic fence according to the offset parameters of the standard observation system, so that the physical points falling into the multi-attribute electronic fence fall within the offset strip outside the multi-attribute electronic fence.

[0018] An embodiment of the present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above-mentioned method for deploying physical points of a multi-attribute electronic fence is implemented.

[0019] An embodiment of the present invention further provides a computer-readable storage medium storing a computer program for executing the above-mentioned method for arranging physical points of a multi-attribute electronic fence.

[0020] In an embodiment of the present invention, electronic fences for various types of obstacles within the target work area are determined based on a digital orthophoto map, and electronic fences for various types of risk sources in high-risk areas within the target work area are determined based on a digital elevation model. The electronic fences for various types of obstacles and electronic fences for various types of risk sources are merged to determine a multi-attribute electronic fence, and physical points falling within the multi-attribute electronic fence are offset according to offset parameters. This embodiment of the present invention performs multi-attribute identification of ground obstacles and terrain risks, extracts information about various obstacles and risk sources, and finally offsets physical points falling within the multi-attribute electronic fence, thereby achieving rapid optimization of the layout of physical points for seismic exploration, improving the construction efficiency of oil exploration, and simultaneously reducing the construction risks of oil exploration. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work. In the drawings:

[0022] Figure 1 A flowchart illustrating a method for arranging physical points of a multi-attribute electronic fence according to an embodiment of the present invention;

[0023] Figure 2 A flowchart for implementing step 101 in the method for placing physical points of a multi-attribute electronic fence provided in an embodiment of the present invention;

[0024] Figure 2-1 A schematic diagram of an obstacle layer in a certain work area provided by an embodiment of the present invention;

[0025] Figure 3A flowchart for implementing step 102 in the method for placing physical points of a multi-attribute electronic fence provided in an embodiment of the present invention;

[0026] Figure 3-1 A schematic diagram of a high-risk area vector layer of a certain work area provided in an embodiment of the present invention;

[0027] Figure 3-2 A schematic diagram of a multi-attribute vector layer of a certain work area provided by an embodiment of the present invention;

[0028] Figure 3-3 A schematic diagram of a multi-attribute electronic fence in a work area provided by an embodiment of the present invention;

[0029] Figure 4 A flowchart for implementing step 104 in the method for placing physical points of a multi-attribute electronic fence provided in an embodiment of the present invention;

[0030] Figure 5 Another implementation flow chart of step 104 in the method for placing physical points of a multi-attribute electronic fence provided by an embodiment of the present invention;

[0031] Figure 6 Another implementation flow chart of step 104 in the method for placing physical points of a multi-attribute electronic fence provided in an embodiment of the present invention;

[0032] Figure 6-1 A schematic diagram of the effect before the physical point of a certain work area is offset according to an embodiment of the present invention;

[0033] Figure 6-2 A schematic diagram of the effect of a physical point offset in a work area provided by an embodiment of the present invention;

[0034] Figure 7 A functional module diagram of a device for placing physical points of a multi-attribute electronic fence provided by an embodiment of the present invention;

[0035] Figure 8 A structural block diagram of the obstacle fence determination module 701 in the physical point layout device for a multi-attribute electronic fence provided by an embodiment of the present invention;

[0036] Figure 9 A structural block diagram of the risk fence determination module 702 in the physical point deployment device for a multi-attribute electronic fence provided by an embodiment of the present invention;

[0037] Figure 10 A structural block diagram of the physical point offset module 704 in the physical point placement device for a multi-attribute electronic fence provided in an embodiment of the present invention;

[0038] Figure 11 Another structural block diagram of the physical point offset module 704 in the physical point layout device for a multi-attribute electronic fence provided by an embodiment of the present invention;

[0039] Figure 12 This is another structural block diagram of the physical point offset module 704 in the physical point layout device for a multi-attribute electronic fence provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0040] To make the purpose, technical solutions and advantages of the embodiments of the present invention more clear, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. Here, the exemplary embodiments of the present invention and their descriptions are used to explain the present invention, but are not intended to limit the present invention.

[0041] Figure 1 The following illustrates the implementation process of the method for placing physical points of a multi-attribute electronic fence provided by an embodiment of the present invention. For ease of description, only the parts related to the embodiment of the present invention are shown, which are detailed as follows:

[0042] like Figure 1 As shown, the physical point layout method of the multi-attribute electronic fence includes:

[0043] Step 101, determining the electronic fences of various obstacles in the target work area based on the digital orthophoto map of the target work area;

[0044] Step 102, determining electronic fences of various risk sources in high-risk areas within the target work area based on the digital elevation model;

[0045] Step 103: Merge the electronic fences of various obstacles in the target work area with the electronic fences of various risk sources in the high-risk area of ​​the target work area to determine a multi-attribute electronic fence; the multi-attribute electronic fence includes ground obstacle information and terrain risk information;

[0046] Step 104 : performing an offset process on the physical point that falls into the multi-attribute electronic fence according to the offset parameters of the standard observation system, so that the physical point that falls into the multi-attribute electronic fence falls within the offset strip outside the multi-attribute electronic fence.

[0047] The target work area refers to the work area where physical points are to be laid out. When laying out physical points in the target work area, the digital orthophoto map of the target work area is first obtained. The Digital Orthophoto Map (DOM) is a set of digital orthophoto images generated by digitally differentially correcting and mosaicking aerospace photos and cropping them according to a certain map range. It is an image that has both map geometric accuracy and impact characteristics, and has the advantages of high accuracy, rich information, intuitive and realistic, and quick acquisition. After obtaining the digital orthophoto map of the target work area, the electronic fence of various obstacles in the target work area can be determined based on the digital orthophoto map of the target work area. Various obstacles can include, for example, ground obstacles such as houses, lakes and roads. The electronic fence of various obstacles refers to the electronic boundary of various obstacles.

[0048] After determining the electronic fences for various obstacles within the target work area, the electronic fences for various risk sources in high-risk areas within the target work area can be further determined based on the digital elevation model. A digital elevation model (DEM) is a digital simulation of the terrain (i.e., a digital representation of the terrain surface morphology) using limited terrain elevation data. It is a physical ground model that represents ground elevations in the form of an ordered array of numerical values. It is a branch of the digital terrain model (DTM), from which other terrain characteristic values ​​can be derived.

[0049] The target work area can be divided into different risk areas according to a pre-set risk level standard. For example, in the embodiment of the present invention, the target work area is divided into high-risk areas, medium-risk areas and low-risk areas according to this standard. Or it can be divided into high-risk areas, relatively high-risk areas, medium-risk areas, relatively low-risk areas and low-risk areas according to a pre-set risk level classification standard. Various risk sources in the high-risk area may include, for example, steep cliffs, landslides and water bodies. It can be understood by those skilled in the art that various risk sources in the high-risk area may also include other risk sources in addition to the above, such as caves, etc., and the embodiment of the present invention does not impose any special restrictions on this. Therefore, a high-risk area may refer to an area in the target work area that contains one or more risk sources.

[0050] Furthermore, based on the digital elevation model, the electronic fences of various risk sources in high-risk areas within the target work area can be determined. The electronic fences of various risk sources refer to the electronic boundaries of various risk sources.

[0051] During geo-fence expansion, high-risk areas may also contain ground obstacles, resulting in overlapping geo-fences. Alternatively, if two ground obstacles, such as houses or lakes, are close together, with a house expanded by 60 meters and a lake expanded by 100 meters, their geo-fence buffer zones may overlap. In this case, geo-fences need to be merged to avoid different types of obstacles at the same or adjacent locations, effectively preventing the multi-value problem of automatic obstacle avoidance. This involves merging the geo-fences for various obstacles within the target work area with the geo-fences for various risk sources in the high-risk area to create a multi-attribute geo-fence. A multi-attribute geo-fence encompasses both ground obstacle information (various types of obstacles) and terrain risk information (various types of risk sources).

[0052] After merging the electronic fences of various obstacles with the electronic fences of various risk sources in high-risk areas to obtain a multi-attribute electronic fence, since in the initial theoretical design, the shot points and detection points will fall within the multi-attribute electronic fence, it is necessary to view the physical points (at least including the shot points and detection points) that fall within the multi-attribute electronic fence based on the standard observation system, so as to offset the physical points that fall within the multi-attribute electronic fence based on the offset parameters of the standard observation system, so that the physical points that originally fell within the multi-attribute electronic fence fall within the offset strip outside the multi-attribute electronic fence, thereby realizing the layout of the physical points of the multi-attribute electronic fence.

[0053] In an embodiment of the present invention, electronic fences for various types of obstacles within the target work area are determined based on a digital orthophoto map, and electronic fences for various types of risk sources in high-risk areas within the target work area are determined based on a digital elevation model. The electronic fences for various types of obstacles and electronic fences for various types of risk sources are merged to determine a multi-attribute electronic fence, and physical points falling within the multi-attribute electronic fence are offset according to offset parameters. This embodiment of the present invention achieves rapid optimization of the physical point layout for seismic exploration by performing multi-attribute identification of ground obstacles and terrain risks, extracting information about various obstacles and risk sources, and finally offsetting physical points falling within the multi-attribute electronic fence, thereby improving the construction efficiency of oil exploration and reducing the construction risks of oil exploration.

[0054] Figure 2 The following illustrates the implementation process of step 101 in the method for placing physical points of a multi-attribute electronic fence provided by an embodiment of the present invention. For ease of description, only the portion related to the embodiment of the present invention is shown, which is described in detail as follows:

[0055] In one embodiment of the present invention, in order to improve the accuracy of determining the obstacle electronic fence, as shown in FIG. Figure 2 As shown, step 101 is to determine the electronic fences of various obstacles in the target work area based on the digital orthophoto map of the target work area, including:

[0056] Step 201: Acquire a digital orthophoto map of the target work area through a drone;

[0057] Step 202: According to the types of obstacles in the target work area, a layered vector map of the digital orthophoto of the target work area is obtained through artificial intelligence deep learning; the layered vector map reflects the coordinate information of the identification points of the obstacles in the target work area;

[0058] Step 203: Perform sample point sparse processing on the layered vector map of the digital orthophoto map of the target work area to obtain the coordinate information of the sparsed sample points, and obtain the obstacle layer in the target work area based on the sparsed sample point coordinate information;

[0059] Step 204 : Determine the electronic fences of various obstacles in the target work area based on the obstacle layer in the target work area.

[0060] When determining the electronic fences for various obstacles within a target work area, it is first necessary to obtain a digital orthophoto of the target work area. Specifically, the digital orthophoto of the target work area can be obtained using a drone. Those skilled in the art will appreciate that other aerospace methods or aerial photography techniques can also be used to obtain the digital orthophoto of the target work area, and this embodiment of the present invention does not impose any particular limitation on this.

[0061] After acquiring a digital orthophoto of the target work area via drone, a layered vector map of the digital orthophoto is generated based on the types of obstacles within the target area. The layered vector map reflects the coordinate information of each obstacle's marker point. The digital orthophoto of the target area acquired via drone contains both topographic map geometry and image features, offering rich information, large data volumes, high accuracy, and high realism. After calibration and registration, the digital orthophoto of the target area incorporates spatial reference information, enabling direct measurements. The digital orthophoto can also serve as background control information to evaluate the accuracy, integrity, and realism of other data, and can also be used to extract information such as socioeconomic development and natural resource distribution. Therefore, ground obstacles such as houses, lakes, and roads can be clearly identified from the digital orthophoto of the target area, resulting in a layered vector map containing the coordinate information of the obstacle marker points.

[0062] After determining the layered vector layer of the digital orthophoto image of the target work area, the layered vector layer can be edited, including removing isolated islands, removing small obstacles, and performing sample point thinning. Sample point thinning is performed on the layered vector layer of the digital orthophoto image to obtain sparse sample point coordinate information. This sparse sample point coordinate information is then connected to form a polygonal obstacle layer. Specifically, the extracted sparse sample point coordinate information is edited to obtain relatively accurate and sparse boundary points of obstacles such as houses, lakes, and roads. These boundary sample points are then connected to form the obstacle layer for houses, lakes, and roads. Figure 2-1 A schematic diagram of an obstacle layer in a certain work area provided by an embodiment of the present invention is shown.

[0063] Furthermore, after obtaining the obstacle layers of various obstacles in the target work area, the obstacle layers of various obstacles are buffered separately based on the safety distance requirements of various obstacles to obtain electronic fences based on obstacle attributes, that is, electronic fences for various obstacles in the target work area.

[0064] Specifically, electronic fence zones can be defined for each type of obstacle within surface and underground facilities. For example, the area 300 meters outside the management area of ​​a large reservoir's main dam is designated as the large reservoir electronic fence, while the area 100 meters outside the toe and dam end of a medium-sized reservoir is designated as the medium reservoir electronic fence. The road electronic fence is 100 meters outside national, provincial, county, and arterial highways, and the residential electronic fence is 60 meters outside adobe houses. The software automatically expands the electronic fence to define the various types of obstacles within the target work area.

[0065] In an embodiment of the present invention, a digital orthophoto map of a target work area is obtained by a drone, and then a layered vector layer of the digital orthophoto map of the target work area is obtained through artificial intelligence deep learning. Then, the layered vector layer is subjected to sample sparse processing to obtain an obstacle layer. Finally, electronic fences of various obstacles are determined based on the obstacle layer. Artificial intelligence deep learning and sample sparse processing can improve the accuracy of determining obstacle electronic fences.

[0066] Figure 3 The following illustrates the implementation process of step 102 in the method for placing physical points of a multi-attribute electronic fence provided by an embodiment of the present invention. For ease of description, only the portion related to the embodiment of the present invention is shown, which is described in detail as follows:

[0067] In one embodiment of the present invention, in order to improve the accuracy of determining the electronic fences of various risk sources, such as Figure 3 As shown, step 102 is to determine the electronic fences of various risk sources in the high-risk area within the target work area based on the digital elevation model, including:

[0068] Step 301, determining the slope and undulation of each location in the target work area based on the digital elevation model;

[0069] Step 302: determining a risk classification map of the target work area including high-risk areas based on the slope and undulation of each location in the target work area;

[0070] Step 303: extracting a high-risk area vector layer of the target work area risk classification map by contour tracking;

[0071] Step 304 , buffering various risk sources in the high-risk area vector layer of the target work area, and determining electronic fences for various risk sources in the high-risk area of ​​the target work area.

[0072] When determining the electronic fences for various risk sources in high-risk areas within a target work area, the slope and undulation at each location within the target work area are first calculated based on the digital elevation model. Risk zones within the target work area are then pre-defined according to the risk level evaluation criteria, such as high-risk, medium-risk, and low-risk zones. Those skilled in the art will appreciate that risk zones within the target work area may also be pre-defined according to the risk level evaluation criteria as high-risk, relatively high-risk, medium-risk, relatively low-risk, and low-risk zones, and this embodiment of the present invention does not impose any particular limitation on this.

[0073] Among them, the high-risk area refers to an area with a slope greater than the first preset slope, the medium-risk area refers to an area with a slope greater than the third preset slope and less than the second preset slope, and the low-risk area refers to an area with a slope less than the third preset slope. Among them, the relationship that the first preset slope is greater than the second preset slope is greater than the third preset slope is satisfied. Alternatively, the high-risk area refers to an area with an undulation greater than the first preset undulation, the medium-risk area refers to an area with an undulation greater than the third preset undulation and less than the second preset undulation, and the low-risk area refers to an area with an undulation less than the third preset undulation. Among them, the relationship that the first preset undulation is greater than the second preset undulation is greater than the third preset undulation is satisfied.

[0074] Among them, the first preset slope, the second preset slope, and the third preset slope are preset slopes, and those skilled in the art can preset the first preset slope, the second preset slope, and the third preset slope according to actual conditions and specific needs. For example, the first preset slope, the second preset slope, and the third preset slope can be preset to 60°, 30°, and 15°, respectively, and the embodiment of the present invention does not impose any particular limitation on this. Among them, the first preset undulation, the second preset undulation, and the third preset undulation are preset undulations, and those skilled in the art can preset the first preset undulation, the second preset undulation, and the third preset undulation according to actual conditions and specific needs, and the embodiment of the present invention does not impose any particular limitation on this.

[0075] Based on this, a risk grading map for the target work area can be determined based on the slope and undulation at each location within the target work area. This risk grading map includes high-risk, medium-risk, and low-risk areas, encompassing various risk sources. For example, color coding can be used, with red representing high-risk areas, green representing low-risk areas, and yellow representing medium-risk areas, thus creating a risk grading map for the target work area.

[0076] Among them, high-risk areas within the target work area are areas containing multiple risk sources and require special attention. After determining the risk classification map of the target work area, including the high-risk area, the risk classification map is vectorized and extracted through contour tracing. That is, contour tracing is performed on the red, yellow, and green colors respectively to obtain vector layers of high-risk areas, medium-risk areas, and low-risk areas. The vectorized data of the high-risk areas extracted by contour tracing contains the coordinate information of the high-risk sample points. The coordinate information of the high-risk sample points is linked to form a high-risk area vector layer. Figure 3-1 The following figure shows a high-risk area vector layer diagram of a certain work area provided by an embodiment of the present invention. By merging the obstacle layer with the high-risk area vector layer, a multi-attribute vector layer can be obtained. Figure 3-2 A schematic diagram of a multi-attribute vector layer of a certain work area provided by an embodiment of the present invention is shown.

[0077] After determining the high-risk area vector layer for the target work area, we buffer each risk source within the high-risk area vector layer and determine the electronic fences for each risk source. For example, we buffer each risk source within the high-risk area vector layer, such as cliffs, landslides, water bodies, and caves. This creates an electronic fence based on the terrain risk information, representing the electronic fence zones for each risk source within the target work area. For example, a cliff could be 200 meters wide, and a landslide could be 150 meters wide.

[0078] During the expansion of the electronic fence, there may be high-risk areas with ground obstacles at the same time, or there may be two ground obstacles. Therefore, the electronic fence buffer may have overlapping parts. At this time, it is necessary to merge the electronic fences to determine a multi-attribute electronic fence that contains both ground obstacle information (various obstacles) and terrain risk information (various risk sources) to avoid different types of obstacles at the same location or adjacent locations, that is, to avoid the multi-value problem of automatic obstacle avoidance. Figure 3-3 A schematic diagram of a multi-attribute electronic fence of a certain work area provided by an embodiment of the present invention is shown.

[0079] In an embodiment of the present invention, the slope and undulation at each location within the target work area are determined based on a digital elevation model. A risk grading map for the target work area, including high-risk areas, is then determined based on the slope and undulation at each location. Contour tracing is then used to extract a high-risk area vector layer from the target work area risk grading map. Finally, each risk source in the high-risk area vector layer is buffered, and electronic fences are determined for each risk source within the high-risk area within the target work area. Using a digital elevation model and contour tracing to determine the electronic fences for each risk source can improve the accuracy of determining the electronic fences for each risk source.

[0080] Figure 4 The implementation process of step 104 in the method for placing physical points of a multi-attribute electronic fence provided by an embodiment of the present invention is shown. For ease of description, only the part related to the embodiment of the present invention is shown, which is detailed as follows:

[0081] In one embodiment of the present invention, in order to optimize the placement of shot points, Figure 4 As shown, step 104 is to perform an offset process on the physical point that falls into the multi-attribute electronic fence according to the offset parameters of the standard observation system, so that the physical point that falls into the multi-attribute electronic fence falls within the offset strip outside the multi-attribute electronic fence, including:

[0082] Step 401, determining a physical point that falls within a multi-attribute electronic fence according to a standard observation system;

[0083] Step 402, determining an offset parameter based on the shot point distance, receiver point distance, and offset range of the shot and receiver points of the standard observation system;

[0084] Step 403 : offsetting the shot points falling into the multi-attribute electronic fence along the detection line according to the offset parameter so that the shot points falling into the multi-attribute electronic fence fall within the offset strip outside the multi-attribute electronic fence.

[0085] Physical points include at least shot points and receiver points. When performing physical point offsets, a standard observation system for a work area is imported to check whether physical points fall within the multi-attribute electronic fence. The physical points that fall within the multi-attribute electronic fence are identified, and then offset and adjust the physical points that fall within the multi-attribute electronic fence.

[0086] Migration parameters are determined based on the standard observation system's shot point distance, receiver point distance, and the offset range of the shot and receiver points. Physical points falling within the multi-attribute electronic fence undergo optimized migration. A binary method is used to represent the inside and outside of the multi-attribute electronic fence, with the eigenvalue set to 1 and the eigenvalue set to 0. The migration rule prohibits physical points from falling within the multi-attribute electronic fence. Therefore, after optimization, physical points will be offset from the multi-attribute electronic fence with an eigenvalue of 1 and fall within the nearest offset strip with an eigenvalue of 0.

[0087] Specifically, when offsetting the shot points, the shot points that fall into the multi-attribute electronic fence are offset along the detection line direction (inline direction) according to the offset parameters, so that the shot points that fall into the multi-attribute electronic fence (characteristic value is 1) fall within the offset strip outside the multi-attribute electronic fence (characteristic value is 0).

[0088] In an embodiment of the present invention, physical points within a multi-attribute electronic fence are determined using a standard observation system. An offset parameter is then determined based on the shot point distance, the detection point distance, and the offset range of the shot and detection point. Finally, the shot points within the multi-attribute electronic fence are offset along the detection line according to the offset parameter, so that the shot points within the multi-attribute electronic fence fall within an offset strip outside the multi-attribute electronic fence. By offsetting the shot points within the multi-attribute electronic fence using the offset parameter, it is possible to achieve and improve the rational placement of shot points within the multi-attribute electronic fence.

[0089] Figure 5 Another implementation flow of step 104 in the method for placing physical points of a multi-attribute electronic fence provided by an embodiment of the present invention is shown. For ease of description, only the portion related to the embodiment of the present invention is shown, and the details are as follows:

[0090] In one embodiment of the present invention, in order to further improve the placement of gun points, Figure 5 As shown, step 104, performing offset processing on the physical point falling into the multi-attribute electronic fence according to the offset parameters of the standard observation system, so that the physical point falling into the multi-attribute electronic fence falls within the offset strip outside the multi-attribute electronic fence, further includes:

[0091] Step 501: If the shot point that falls into the multi-attribute electronic fence cannot deviate from the multi-attribute electronic fence within the offset range of the shot detection point, the shot point that falls into the multi-attribute electronic fence will be offset as close as possible along the detection line direction and the shot line direction, so that the shot point that falls into the multi-attribute electronic fence falls within the offset strip outside the multi-attribute electronic fence.

[0092] In some cases, offsetting shot points along the detection line may not completely move them outside the multi-attribute geo-fence. Therefore, if a shot point within the multi-attribute geo-fence cannot be offset outside the multi-attribute geo-fence within the offset range of the shot detection point, the shot point will be offset to the nearest offset strip along the detection line and the shot line, ensuring that the shot point falls within the offset strip outside the multi-attribute geo-fence.

[0093] In an embodiment of the present invention, if the shot point that falls into the multi-attribute electronic fence does not deviate from the multi-attribute electronic fence within the offset range of the shot detection point, the shot point that falls into the multi-attribute electronic fence will be offset nearby along the detection line direction and the shot line direction, so that the shot point that falls into the multi-attribute electronic fence falls nearby within the offset strip outside the multi-attribute electronic fence, which can further improve the reasonable layout of the shot points.

[0094] Figure 6 Another implementation process of step 104 in the method for placing physical points of a multi-attribute electronic fence provided by an embodiment of the present invention is shown. For ease of description, only the portion related to the embodiment of the present invention is shown, and the details are as follows:

[0095] In one embodiment of the present invention, in order to optimize the layout of detection points, Figure 6 As shown, step 104, performing offset processing on the physical point falling into the multi-attribute electronic fence according to the offset parameters of the standard observation system, so that the physical point falling into the multi-attribute electronic fence falls within the offset strip outside the multi-attribute electronic fence, further includes:

[0096] Step 601 : offset the detection points within the multi-attribute electronic fence along the detection line according to the offset parameter so that the detection points within the multi-attribute electronic fence fall within the offset strip outside the multi-attribute electronic fence.

[0097] Specifically, when offsetting the detection points, the detection points that fall into the multi-attribute electronic fence are offset along the detection line direction (inline direction) according to the offset parameters, so that the detection points that fall into the multi-attribute electronic fence (characteristic value is 1) fall within the offset strip outside the multi-attribute electronic fence (characteristic value is 0), thereby optimizing the reasonable layout of the detection points.

[0098] In one embodiment of the present invention, in order to further optimize the reasonable layout of the detection points, such as Figure 6 As shown, step 104, performing offset processing on the physical point falling into the multi-attribute electronic fence according to the offset parameters of the standard observation system, so that the physical point falling into the multi-attribute electronic fence falls within the offset strip outside the multi-attribute electronic fence, further includes:

[0099] Step 602: If the detection point falling into the multi-attribute electronic fence does not deviate from the multi-attribute electronic fence within the offset range of the gun detection point, the detection point falling into the multi-attribute electronic fence will be offset as close as possible along the detection line direction and the gun line direction, so that the detection point falling into the multi-attribute electronic fence falls within the offset strip outside the multi-attribute electronic fence.

[0100] In some cases, offsetting detection points along the detection line may not completely move them outside the multi-attribute geo-fence. Therefore, if a detection point within the multi-attribute geo-fence falls outside the multi-attribute geo-fence within the offset range of the shot detection point, the detection point within the multi-attribute geo-fence will be offset to the nearest offset strip formed by the detection line and the shot line, so that the detection point within the multi-attribute geo-fence falls within the offset strip outside the multi-attribute geo-fence.

[0101] In an embodiment of the present invention, if the detection point falling into the multi-attribute electronic fence does not deviate from the multi-attribute electronic fence within the offset range of the gun detection point, the detection point falling into the multi-attribute electronic fence will be offset nearby along the detection line direction and the gun line direction, so that the detection point falling into the multi-attribute electronic fence falls nearby within the offset strip outside the multi-attribute electronic fence, which can further optimize the reasonable layout of the detection points.

[0102] Specifically, for example, for the offset of a physical point within the electronic fence of a small obstacle, the shot point is deviated from the electronic fence area of ​​the obstacle according to the principle of proximity. The shot point can be offset by 1 / 2 of the shot line distance; if it cannot be deviated from the electronic fence area of ​​the obstacle, the offset parameter can be adjusted to 1 shot line distance.

[0103] For offsetting physical points within the geo-fence around large obstacles, the offset distance can be increased to within 2-3 shot line distances. The coverage after offset must not be less than 75% of the designed coverage. For offsetting physical points within the geo-fence around extra-large obstacles, any gaps in coverage caused by the offset must be subject to a further proposal modification application from Party A. The distance between offset shot points must not be less than one bin. Shot points within one shot line distance whose reflection points fall within the same bin must be eliminated. All shot points will fall on grid points after offset.

[0104] Figure 6-1 It shows the effect of a physical point in a certain work area before the offset provided by the embodiment of the present invention. Figure 6-2 The figure shows the effect of the physical point offset in a certain work area provided by an embodiment of the present invention.

[0105] The present invention also provides a device for arranging physical points for a multi-attribute electronic fence, as described in the following embodiments. Since the principles underlying these devices are similar to the method for arranging physical points for a multi-attribute electronic fence, the implementation of these devices can be referenced to the implementation of the method, and any repetitions will not be repeated.

[0106] Figure 7 The functional modules of the physical point layout device of the multi-attribute electronic fence provided by the embodiment of the present invention are shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown, which are detailed as follows:

[0107] refer to Figure 7 The modules included in the physical point layout device of the multi-attribute electronic fence are used to execute Figure 1 For details of each step in the corresponding embodiment, please refer to Figure 1 as well as Figure 1 In the embodiment of the present invention, the physical point layout device of the multi-attribute electronic fence includes an obstacle fence determination module 701, a risk fence determination module 702, an electronic fence merging module 703 and a physical point offset module 704.

[0108] The obstacle fence determination module 701 is used to determine the electronic fences of various obstacles in the target work area according to the digital orthophoto map of the target work area.

[0109] The risk fence determination module 702 is used to determine the electronic fences of various risk sources in the high-risk area within the target work area based on the digital elevation model.

[0110] The electronic fence merging module 703 is used to merge the electronic fences of various obstacles in the target work area with the electronic fences of various risk sources in the high-risk area of ​​the target work area to determine a multi-attribute electronic fence; the multi-attribute electronic fence includes ground obstacle information and terrain risk information.

[0111] The physical point offset module 704 is used to perform offset processing on the physical points falling into the multi-attribute electronic fence according to the offset parameters of the standard observation system, so that the physical points falling into the multi-attribute electronic fence fall within the offset strip outside the multi-attribute electronic fence.

[0112] In an embodiment of the present invention, the obstacle fence determination module 701 determines the electronic fences for various types of obstacles within the target work area based on the digital orthophoto map. The risk fence determination module 702 determines the electronic fences for various types of risk sources in high-risk areas within the target work area based on the digital elevation model. The electronic fence merging module 703 merges the electronic fences for various types of obstacles with the electronic fences for various types of risk sources to determine a multi-attribute electronic fence. The physical point offset module 704 offsets the physical points that fall within the multi-attribute electronic fence based on the offset parameters. This embodiment of the present invention performs multi-attribute identification of ground obstacles and terrain risks, extracts various types of obstacle information and risk source information, and finally offsets the physical points that fall within the multi-attribute electronic fence, thereby achieving rapid optimization of the layout of seismic exploration physical points, improving the construction efficiency of oil exploration, and reducing the construction risks of oil exploration.

[0113] Figure 8 The structure of the obstacle fence determination module 701 in the physical point deployment device of the multi-attribute electronic fence provided by the embodiment of the present invention is shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown, which are detailed as follows:

[0114] In one embodiment of the present invention, in order to improve the accuracy of determining the obstacle electronic fence, reference Figure 8 The various units included in the barrier fence determination module 701 are used to execute Figure 2 For details of each step in the corresponding embodiment, please refer to Figure 2 as well as Figure 2 In the embodiment of the present invention, the barrier fence determination module 701 includes an orthophoto acquisition unit 801 , a vector layer acquisition unit 802 , a sparse processing unit 803 and a barrier fence determination unit 804 .

[0115] The orthophoto acquisition unit 801 is used to acquire a digital orthophoto of the target work area through a drone.

[0116] The vector layer acquisition unit 802 is used to obtain a layered vector layer of the digital orthophoto map of the target work area through artificial intelligence deep learning according to the type of obstacles in the target work area; the layered vector layer reflects the coordinate information of the identification points of the obstacles in the target work area.

[0117] The sparse processing unit 803 is used to perform sample point sparse processing on the layered vector layer of the digital orthophoto map of the target work area to obtain the sparse sample point coordinate information, and obtain the obstacle layer in the target work area based on the sparse sample point coordinate information.

[0118] The obstacle fence determination unit 804 is used to determine the electronic fences of various obstacles in the target work area according to the obstacle layer in the target work area.

[0119] In an embodiment of the present invention, the orthophoto acquisition unit 801 acquires a digital orthophoto of the target work area through a drone, and then the vector layer acquisition unit 802 acquires a layered vector layer of the digital orthophoto of the target work area through artificial intelligence deep learning. Then, the sparse processing unit 803 performs sample sparse processing on the layered vector layer to obtain an obstacle layer. Finally, the obstacle fence determination unit 804 determines the electronic fences of various obstacles based on the obstacle layer. Artificial intelligence deep learning and sample sparse processing can improve the accuracy of determining the obstacle electronic fence.

[0120] Figure 9 The structure of the risk fence determination module 702 in the physical point deployment device for a multi-attribute electronic fence provided by an embodiment of the present invention is shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown, which are described in detail as follows:

[0121] In one embodiment of the present invention, in order to improve the accuracy of determining the electronic fences of various risk sources, reference is made to Figure 9 The risk fence determination module 702 includes various units for executing Figure 3For details of each step in the corresponding embodiment, please refer to Figure 3 as well as Figure 3 In the embodiment of the present invention, the risk fence determination module 702 includes a slope undulation determination unit 901 , a risk classification map determination unit 902 , a high-risk layer extraction unit 903 , and a risk fence determination unit 904 .

[0122] The slope and undulation determining unit 901 is used to determine the slope and undulation of each location in the target work area according to the digital elevation model.

[0123] The risk classification map determining unit 902 is configured to determine a risk classification map of the target work area including high-risk areas according to the slope and undulation of each location in the target work area.

[0124] The high-risk layer extraction unit 903 is used to extract the high-risk area vector layer of the target work area risk classification map through contour tracking.

[0125] The risk fence determination unit 904 is used to buffer various risk sources in the high-risk area vector layer of the target work area respectively, and determine the electronic fences of various risk sources in the high-risk area of ​​the target work area.

[0126] In this embodiment of the present invention, a slope and undulation determination unit 901 determines the slope and undulation at each location within the target work area based on a digital elevation model. Furthermore, a risk grading map determination unit 902 determines a risk grading map for the target work area, including high-risk areas, based on the slope and undulation at each location. A high-risk layer extraction unit 903 then extracts the high-risk area vector layer of the target work area risk grading map through contour tracing. Finally, a risk fence determination unit 904 buffers each type of risk source in the high-risk area vector layer of the target work area and determines the electronic fences for each type of risk source in the high-risk area of ​​the target work area. Using a digital elevation model and contour tracing to determine the electronic fences for each type of risk source can improve the accuracy of determining the electronic fences for each type of risk source.

[0127] Figure 10 The structure of the physical point offset module 704 in the physical point layout device of the multi-attribute electronic fence provided by the embodiment of the present invention is shown. For ease of explanation, only the parts related to the embodiment of the present invention are shown, which are detailed as follows:

[0128] In one embodiment of the present invention, in order to optimize the placement of shot points, reference is made to Figure 10 The various units included in the physical point offset module 704 are used to perform Figure 4 For details of each step in the corresponding embodiment, please refer to Figure 4 as well as Figure 4In the embodiment of the present invention, the physical point offset module 704 includes a physical point determination unit 1001 , an offset parameter determination unit 1002 , and a shot point first offset unit 1003 .

[0129] The physical point determination unit 1001 is configured to determine the physical points that fall within the multi-attribute electronic fence according to a standard observation system.

[0130] The offset parameter determining unit 1002 is configured to determine the offset parameter according to the shot point distance, the receiver point distance, and the offset range of the shot and receiver points of the standard observation system.

[0131] The shot point first offset unit 1003 is used to offset the shot points falling into the multi-attribute electronic fence along the detection line direction according to the offset parameter, so that the shot points falling into the multi-attribute electronic fence fall within the offset strip outside the multi-attribute electronic fence.

[0132] In an embodiment of the present invention, the physical point determination unit 1001 determines physical points within the multi-attribute electronic fence based on a standard observation system. The offset parameter determination unit 1002 then determines offset parameters based on the shot point distance, the detection point distance, and the offset range of the shot detection point. Finally, the shot point first offset unit 1003 offsets the shot points within the multi-attribute electronic fence along the detection line according to the offset parameters, so that the shot points within the multi-attribute electronic fence fall within the offset strip outside the multi-attribute electronic fence. By offsetting the shot points within the multi-attribute electronic fence using the offset parameters, it is possible to achieve and improve the rational placement of shot points within the multi-attribute electronic fence.

[0133] Figure 11 Another structural diagram of the physical point offset module 704 in the physical point placement device for a multi-attribute electronic fence provided by an embodiment of the present invention is shown. For ease of explanation, only the portion related to the embodiment of the present invention is shown, which is described in detail as follows:

[0134] In one embodiment of the present invention, in order to further improve the placement of gun points, reference is made to Figure 11 The various units included in the physical point offset module 704 are used to perform Figure 5 For details of each step in the corresponding embodiment, please refer to Figure 5 as well as Figure 5 The relevant descriptions in the corresponding embodiments are not repeated here. Figure 10 Based on the module structure shown, the physical point offset module 704 further includes a shot point second offset unit 1101 .

[0135] The second shot point offset unit 1101 is used to offset the shot point that falls into the multi-attribute electronic fence as close as possible along the detection line direction and the shot line direction if the shot point that falls into the multi-attribute electronic fence cannot be offset out of the multi-attribute electronic fence within the offset range of the shot detection point, so that the shot point that falls into the multi-attribute electronic fence falls within the offset strip outside the multi-attribute electronic fence.

[0136] In an embodiment of the present invention, if the second offset unit 1101 of the shot point is within the offset range of the shot detection point, the shot point that falls into the multi-attribute electronic fence cannot be offset out of the multi-attribute electronic fence, and the shot point that falls into the multi-attribute electronic fence will be offset as close as possible along the detection line direction and the shot line direction, so that the shot point that falls into the multi-attribute electronic fence falls within the offset strip outside the multi-attribute electronic fence, which can further improve the reasonable layout of the shot points.

[0137] Figure 12 Another structural diagram of the physical point offset module 704 in the physical point placement device for a multi-attribute electronic fence provided by an embodiment of the present invention is shown. For ease of illustration, only the portion related to the embodiment of the present invention is shown, which is described in detail as follows:

[0138] In one embodiment of the present invention, in order to optimize the layout of the detection points, reference is made to Figure 12 The various units included in the physical point offset module 704 are used to perform Figure 6 For details of each step in the corresponding embodiment, please refer to Figure 6 as well as Figure 6 In the embodiment of the present invention, based on the above module structure, the physical point offset module 704 further includes a first detection point offset unit 1201 .

[0139] The first detection point offset unit 1201 is used to offset the detection points falling into the multi-attribute electronic fence along the detection line direction according to the offset parameter, so that the detection points falling into the multi-attribute electronic fence fall within the offset strip outside the multi-attribute electronic fence, thereby optimizing the reasonable layout of the detection points.

[0140] In one embodiment of the present invention, in order to further optimize the reasonable layout of the detection points, refer to Figure 12 On the basis of the above module structure, the physical point offset module 704 further includes a detection point second offset unit 1202 .

[0141] The second offset unit 1202 of the detection point is used to offset the detection point falling into the multi-attribute electronic fence along the detection line direction and the shot line direction if the detection point falling into the multi-attribute electronic fence does not deviate from the multi-attribute electronic fence within the offset range of the gun detection point, so that the detection point falling into the multi-attribute electronic fence falls within the offset strip outside the multi-attribute electronic fence.

[0142] In an embodiment of the present invention, if the second offset unit 1202 of the detection point is within the offset range of the gun detection point, and the detection point falling into the multi-attribute electronic fence does not offset out of the multi-attribute electronic fence, the detection point falling into the multi-attribute electronic fence will be offset as close as possible along the detection line direction and the gun line direction, so that the detection point falling into the multi-attribute electronic fence falls within the offset strip outside the multi-attribute electronic fence, which can further optimize the reasonable layout of the detection points.

[0143] An embodiment of the present invention also provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above-mentioned method for deploying physical points of a multi-attribute electronic fence is implemented.

[0144] An embodiment of the present invention further provides a computer-readable storage medium storing a computer program for executing the above-mentioned method for arranging physical points of a multi-attribute electronic fence.

[0145] In summary, in an embodiment of the present invention, electronic fences for various types of obstacles within a target work area are determined based on a digital orthophoto map, and electronic fences for various types of risk sources in high-risk areas within the target work area are determined based on a digital elevation model; the electronic fences for various types of obstacles and electronic fences for various types of risk sources are merged to determine a multi-attribute electronic fence, and physical points falling within the multi-attribute electronic fence are offset according to offset parameters. By performing multi-attribute identification of ground obstacles and terrain risks, extracting various types of obstacle information and risk source information, and finally offsetting physical points falling within the multi-attribute electronic fence, the embodiment of the present invention achieves rapid optimization of the layout of physical points for seismic exploration, improves the construction efficiency of oil exploration, and simultaneously reduces the construction risk of oil exploration.

[0146] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0147] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0148] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0149] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0150] The specific embodiments described above further illustrate the objectives, technical solutions and beneficial effects of the present invention in detail. It should be understood that the above description is only a specific embodiment of the present invention and is not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A method for arranging physical points of a multi-attribute electronic fence, characterized in that: include: Determine the electronic fences of various obstacles within the target work area based on the digital orthophoto map of the target work area; Determine the electronic fences of various risk sources in high-risk areas within the target work area based on the digital elevation model; Combine the electronic fences of various obstacles in the target work area with the electronic fences of various risk sources in the high-risk area of ​​the target work area to determine the multi-attribute electronic fence; Multi-attribute electronic fences include ground obstacle information and terrain risk information; The physical points falling into the multi-attribute electronic fence are offset according to the offset parameters of the standard observation system, so that the physical points falling into the multi-attribute electronic fence fall within the offset strip outside the multi-attribute electronic fence.

2. The method for arranging physical points of a multi-attribute electronic fence according to claim 1, wherein: Based on the digital orthophoto map of the target work area, determine the electronic fences of various obstacles in the target work area, including: Obtain digital orthophotos of the target work area through drones; According to the obstacle types in the target work area, a layered vector layer of the digital orthophoto map of the target work area is obtained through artificial intelligence deep learning; the layered vector layer reflects the coordinate information of the identification points of the obstacles in the target work area; Perform sample point sparse processing on the layered vector layer of the digital orthophoto map of the target work area to obtain the sparse sample point coordinate information, and obtain the obstacle layer in the target work area based on the sparse sample point coordinate information; According to the obstacle layer in the target work area, determine the electronic fence of various obstacles in the target work area.

3. The method for arranging physical points of a multi-attribute electronic fence according to claim 1, wherein: Determine the electronic fences of various risk sources in high-risk areas within the target work area based on the digital elevation model, including: Determine the slope and undulation at each location within the target work area based on the digital elevation model; Determine the risk classification map of the target work area, including high-risk areas, based on the slope and undulation of each location within the target work area; Extract the high-risk area vector layer of the target work area risk classification map through contour tracing; Buffer each type of risk source in the vector layer of the high-risk area of ​​the target work area separately, and determine the electronic fence of each type of risk source in the high-risk area of ​​the target work area.

4. The method for arranging physical points of a multi-attribute electronic fence according to claim 1, wherein: Physical points that fall within the multi-attribute geo-fence are offset according to the offset parameters of the standard observation system so that the physical points that fall within the multi-attribute geo-fence fall within the offset strip outside the multi-attribute geo-fence. This includes: Determine the physical points that fall within the multi-attribute electronic fence based on a standard observation system; Determine the offset parameters based on the shot point distance, receiver point distance, and offset range of the shot and receiver points of the standard observation system; According to the offset parameters, the shot points falling into the multi-attribute electronic fence are offset along the detection line direction so that the shot points falling into the multi-attribute electronic fence fall within the offset strip outside the multi-attribute electronic fence.

5. The method for arranging physical points of a multi-attribute electronic fence according to claim 4, characterized in that: The physical points falling into the multi-attribute geo-fence are offset according to the offset parameters of the standard observation system so that the physical points falling into the multi-attribute geo-fence fall within the offset strip outside the multi-attribute geo-fence. The process also includes: If the shot point that falls into the multi-attribute electronic fence is within the offset range of the shot detection point and cannot be offset outside the multi-attribute electronic fence, the shot point that falls into the multi-attribute electronic fence will be offset as close as possible along the detection line direction and the shot line direction so that the shot point that falls into the multi-attribute electronic fence falls within the offset strip outside the multi-attribute electronic fence.

6. The method for arranging physical points of a multi-attribute electronic fence according to claim 1, 4 or 5, wherein: The physical points falling into the multi-attribute geo-fence are offset according to the offset parameters of the standard observation system so that the physical points falling into the multi-attribute geo-fence fall within the offset strip outside the multi-attribute geo-fence. The process also includes: The detection points falling into the multi-attribute electronic fence are offset along the detection line direction according to the offset parameters, so that the detection points falling into the multi-attribute electronic fence fall within the offset strip outside the multi-attribute electronic fence.

7. The method for arranging physical points of a multi-attribute electronic fence according to claim 6, wherein: The physical points falling into the multi-attribute geo-fence are offset according to the offset parameters of the standard observation system so that the physical points falling into the multi-attribute geo-fence fall within the offset strip outside the multi-attribute geo-fence. The process also includes: If the detection point that falls into the multi-attribute electronic fence is within the offset range of the gun detection point and does not deviate from the multi-attribute electronic fence, the detection point that falls into the multi-attribute electronic fence will be offset as close as possible along the detection line direction and the gun line direction so that the detection point that falls into the multi-attribute electronic fence falls within the offset strip outside the multi-attribute electronic fence.

8. A device for arranging physical points of a multi-attribute electronic fence, characterized in that: include: The obstacle fence determination module is used to determine the electronic fences of various obstacles in the target work area based on the digital orthophoto map of the target work area; The risk fence determination module is used to determine the electronic fences of various risk sources in high-risk areas within the target work area based on the digital elevation model; The electronic fence merging module is used to merge the electronic fences of various obstacles in the target work area with the electronic fences of various risk sources in the high-risk area of ​​the target work area to determine the multi-attribute electronic fence; Multi-attribute electronic fences include ground obstacle information and terrain risk information; The physical point offset module is used to perform offset processing on the physical points falling into the multi-attribute electronic fence according to the offset parameters of the standard observation system, so that the physical points falling into the multi-attribute electronic fence fall within the offset strip outside the multi-attribute electronic fence.

9. The physical point layout device of a multi-attribute electronic fence according to claim 8, characterized in that: The obstacle fence determination module includes: Orthophoto acquisition unit, used to obtain digital orthophoto maps of the target work area through drones; The vector layer acquisition unit is used to obtain a layered vector layer of the digital orthophoto map of the target work area according to the obstacle type in the target work area through artificial intelligence deep learning; the layered vector layer reflects the coordinate information of the identification points of the obstacles in the target work area; A sparse processing unit is used to perform sample point sparse processing on the layered vector layer of the digital orthophoto map of the target work area, obtain the coordinate information of the sparse sample points, and obtain the obstacle layer in the target work area based on the sparse sample point coordinate information; The obstacle fence determination unit is used to determine the electronic fences of various obstacles in the target work area based on the obstacle layer in the target work area.

10. The physical point layout device of a multi-attribute electronic fence according to claim 8, characterized in that: The risk fence determination module includes: A slope and undulation determination unit is used to determine the slope and undulation of each location in the target work area based on the digital elevation model; A risk classification map determining unit is used to determine a risk classification map of the target work area including high-risk areas based on the slope and undulation of each location in the target work area; A high-risk layer extraction unit is used to extract the high-risk area vector layer of the target work area risk classification map through contour tracking; The risk fence determination unit is used to buffer various risk sources in the high-risk area vector layer of the target work area and determine the electronic fences of various risk sources in the high-risk area of ​​the target work area.

11. The physical point layout device of a multi-attribute electronic fence according to claim 8, characterized in that: The physical point offset module includes: A physical point determination unit, configured to determine a physical point falling within a multi-attribute electronic fence according to a standard observation system; An offset parameter determination unit, for determining an offset parameter based on a shot point distance, a receiver point distance, and an offset range of a shot and receiver point of a standard observation system; The shot point first offset unit is used to offset the shot points falling into the multi-attribute electronic fence along the detection line direction according to the offset parameter, so that the shot points falling into the multi-attribute electronic fence fall within the offset strip outside the multi-attribute electronic fence.

12. The physical point layout device of a multi-attribute electronic fence according to claim 11, characterized in that: The physical point offset module also includes: The second offset unit of the shot point is used to offset the shot point that falls into the multi-attribute electronic fence as close as possible along the detection line direction and the shot line direction if the shot point that falls into the multi-attribute electronic fence cannot be offset out of the multi-attribute electronic fence within the offset range of the shot detection point, so that the shot point that falls into the multi-attribute electronic fence falls within the offset strip outside the multi-attribute electronic fence.

13. The physical point layout device of a multi-attribute electronic fence according to claim 8, 11 or 12, characterized in that: The physical point offset module also includes: The first detection point offset unit is used to offset the detection points falling into the multi-attribute electronic fence along the detection line direction according to the offset parameter, so that the detection points falling into the multi-attribute electronic fence fall within the offset strip outside the multi-attribute electronic fence.

14. The physical point layout device of a multi-attribute electronic fence according to claim 13, characterized in that: The physical point offset module also includes: The second offset unit of the detection point is used to offset the detection point falling into the multi-attribute electronic fence along the detection line direction and the shot line direction if the detection point falling into the multi-attribute electronic fence does not deviate from the multi-attribute electronic fence within the offset range of the gun detection point, so that the detection point falling into the multi-attribute electronic fence falls within the offset strip outside the multi-attribute electronic fence.

15. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the physical point layout method of the multi-attribute electronic fence according to any one of claims 1 to 7 is implemented.

16. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program for executing the physical point layout method of the multi-attribute electronic fence according to any one of claims 1 to 7.

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