An auxiliary channel video monitoring point location selection method and system

Abstract

This application discloses a method and system for selecting auxiliary waterway video surveillance point locations, relating to the field of waterway transportation facility deployment and management technology. The method includes: determining potential areas for video surveillance equipment deployment on both banks of a target waterway based on vector surface format data; conducting a suitability analysis of surveillance equipment deployment at various locations within the potential areas based on multi-source geospatial data to determine a waterway surveillance equipment deployment suitability map; determining initial deployment points for the video surveillance equipment based on the waterway surveillance equipment deployment suitability map and a preset deployment strategy; determining the line-of-sight coverage of each initial deployment point on the target waterway based on surface elevation data; and adjusting each initial deployment point based on its line-of-sight coverage of the target waterway to determine the final auxiliary waterway video surveillance point location scheme. This application improves the efficiency and accuracy of waterway surveillance equipment deployment.

Description

Technical Field

[0001] This application relates to the field of waterway transportation facility layout and management technology, and in particular to a method and system for selecting auxiliary waterway video monitoring points. Background Technology

[0002] With the rapid development of the global shipping industry and the construction of canals in my country, the safety and efficiency of waterway traffic have received increasing attention. Waterway video surveillance, as a crucial means to ensure safe waterway operation and improve waterway management efficiency, directly impacts construction cost control, monitoring effectiveness, and the utilization of monitoring resources. However, traditional methods for selecting waterway video surveillance sites often rely on experience-based judgment or simple geographical condition analysis, lacking comprehensive and scientific data support. This makes them ill-suited to the complex and ever-changing waterway environment and unable to meet the needs of large-scale, long-distance waterway management.

[0003] In recent years, remote sensing technology has demonstrated enormous potential in fields such as waterway monitoring and environmental assessment due to its ability to acquire large-scale, timely, and multi-source data. Multi-source remote sensing data includes various types such as satellite remote sensing, aerial remote sensing, and UAV remote sensing, characterized by wide coverage, rapid data updates, and rich information, providing more possibilities for precise site selection for waterway video surveillance. By integrating and analyzing multi-source remote sensing data, a comprehensive understanding of the surrounding topography, vegetation obstruction, and ship traffic and distribution characteristics can be obtained, thereby enabling scientific planning of video surveillance point locations and improving monitoring efficiency and accuracy.

[0004] Currently, methods for selecting locations for waterway video surveillance have been developed, including: 1) Site selection by ground survey.

[0005] Ground reconnaissance is a traditional and intuitive site selection method that relies on on-site observation and judgment by surveyors. In waterway video surveillance site selection, ground reconnaissance mainly involves the following steps: First, surveyors need to go to the waterway shoreline area to comprehensively understand the site environment, topography, traffic conditions, etc.; second, based on the characteristics of the waterway and monitoring needs, surveyors will find suitable monitoring points on-site. These points should be able to fully cover the waterway area, have a wide field of view, and be easy to install and maintain; finally, surveyors will also record and mark the selected points in detail for subsequent construction and installation. The advantage of ground reconnaissance is that it can directly obtain first-hand information from the site, ensuring the accuracy and reliability of site selection. However, this method also has certain limitations, such as being time-consuming and labor-intensive, and being subject to weather and traffic conditions.

[0006] 2) Site selection based on spatial analysis technology of geographic information system The waterway video surveillance site selection method based on Geographic Information System (GIS) spatial analysis technology is more efficient and scientific. GIS spatial analysis technology integrates geospatial data and utilizes spatial queries, spatial measurements, and spatial relationship analysis to achieve spatial analysis and optimized site selection for waterway areas. In waterway video surveillance site selection, GIS technology can first import geospatial data of the waterway, such as waterway vectors, surrounding topography, transportation networks, or single remote sensing images; then, using GIS spatial analysis functions, such as buffer analysis and overlay analysis, it can determine the optimal location of monitoring points. These locations should maximize coverage of the waterway area while considering factors such as the camera's field of view and installation conditions. GIS technology can also compare and optimize multiple site selection schemes to choose the optimal monitoring point location. This method not only improves the efficiency and accuracy of site selection but also provides visual and digital support for subsequent monitoring system design and management.

[0007] The two methods described above can complete site selection, but they still have many shortcomings. These shortcomings are specifically manifested in the following aspects: (1) Ground reconnaissance is time-consuming and labor-intensive, and is affected by a variety of factors. Ground reconnaissance relies entirely on the on-site observation and judgment of the survey personnel, which is a time-consuming process and requires a large amount of human resources. Weather conditions and inconvenient transportation in some areas may hinder the on-site work of the survey personnel, thereby affecting the progress and accuracy of site selection. At the same time, the results of ground reconnaissance depend to a large extent on the experience and judgment of the survey personnel, so there may be a certain degree of subjectivity and uncertainty.

[0008] (2) Spatial analysis technology based on geographic information systems is insufficient for site selection under complex terrain and environmental conditions. GIS technology can perform complex spatial analysis, but in some cases, such as when the waterway has complex terrain or many obstructions, the spatial analysis capability of GIS technology may be limited. In particular, the influence of vegetation height on the waterway is difficult to quantify in this method when the vegetation around it is dense.

[0009] (3) The application scenarios of the two methods are limited: the existing methods are mostly targeted at specific waterways or scenarios, lacking universality and scalability, and are difficult to meet the site selection requirements of different waterway types and different monitoring needs.

[0010] Therefore, it is necessary to provide a method for selecting auxiliary waterway video surveillance points to solve the above problems. Summary of the Invention

[0011] The purpose of this application is to provide a method and system for assisting in the selection of video surveillance points in waterways, thereby improving the efficiency and accuracy of waterway monitoring equipment deployment.

[0012] To achieve the above objectives, this application provides the following solution: Firstly, this application provides a method for selecting auxiliary waterway video surveillance point locations, the method comprising: Obtain vector surface data of the waters where the target channel is located, and based on the vector surface data, determine the potential areas for the deployment of video surveillance equipment on both sides of the target channel; Acquire multi-source geospatial data and surface elevation data within the potential area; the multi-source geospatial data includes at least optical remote sensing image data, land use type data, and vegetation canopy height data. Based on the multi-source geospatial data, a suitability analysis of the deployment of monitoring equipment is conducted at each location within the potential area to determine a suitable map for the deployment of waterway monitoring equipment. Based on the waterway monitoring equipment deployment suitability map and preset deployment strategy, the initial deployment points of the video monitoring equipment are determined; Based on the surface elevation data, the line-of-sight coverage of each initial deployment point to the target waterway is determined; Based on the line-of-sight coverage of the target waterway by each initial deployment point, the initial deployment points are adjusted to determine the final location scheme for auxiliary waterway video surveillance points.

[0013] In one embodiment, based on vector surface format data, the potential areas for deploying video surveillance equipment on both sides of the target waterway are determined, specifically including: Using the buffer analysis method in the geographic information system, the waterway shoreline of the target waterway in vector surface format data is used as the reference to extend a preset width to both sides to form a corresponding strip buffer, and the strip buffer is identified as the potential area for the deployment of video surveillance equipment on both sides of the target waterway.

[0014] In one embodiment, based on the multi-source geospatial data, a suitability analysis of the deployment of monitoring equipment is performed on each location within the potential area to determine a suitable map for the deployment of waterway monitoring equipment, specifically including: Based on the optical remote sensing image data, the normalized vegetation index is calculated for each location within the potential area. Based on the normalized vegetation index, an initial suitable map for the deployment of waterway monitoring equipment is generated. Based on the land use type data, the initial waterway monitoring equipment deployment suitability map is corrected to obtain the waterway monitoring equipment deployment suitability map after initial correction. Based on vegetation canopy height data, the initial corrected map of waterway monitoring equipment deployment suitability is further corrected to obtain the final map of waterway monitoring equipment deployment suitability.

[0015] In one implementation, an initial waterway monitoring equipment deployment suitability map is generated based on the normalized vegetation index, specifically including: Determine whether the normalized vegetation index at each location within the potential area is greater than a first preset threshold and less than a second preset threshold to obtain the first determination result; If the first judgment result is yes, then the corresponding location will be marked as a suitable location for the deployment of monitoring equipment; If the first judgment result is negative, then determine whether the normalized vegetation index at the corresponding location in the potential area is greater than the second preset threshold and less than the third preset threshold to obtain the second judgment result. If the second judgment result is yes, then the corresponding location is marked as an unsuitable location for the deployment of monitoring equipment; The map that marks suitable and unsuitable locations for the deployment of monitoring equipment will be designated as the initial waterway monitoring equipment deployment suitability map.

[0016] In one embodiment, based on the land use type data, the initial waterway monitoring equipment deployment suitability map is corrected to obtain a pre-corrected waterway monitoring equipment deployment suitability map, specifically including: Unsuitable locations for monitoring equipment deployment in the initial waterway monitoring equipment deployment suitability map with land use types of grassland, shrubland or cultivated land were identified. The unsuitable locations for monitoring equipment deployment that were selected as land use types (grassland, shrubland, or cultivated land) were re-marked as suitable locations for monitoring equipment deployment in order to correct the initial waterway monitoring equipment deployment suitability map and obtain the first corrected waterway monitoring equipment deployment suitability map.

[0017] In one embodiment, based on vegetation canopy height data, the initially corrected waterway monitoring equipment deployment suitability map is further corrected to obtain the final waterway monitoring equipment deployment suitability map, specifically including: Select suitable locations for the deployment of monitoring equipment in the waterway monitoring equipment deployment suitability map after the initial correction, where the vegetation canopy height is greater than the fourth preset threshold. The suitable locations for monitoring equipment deployment that are selected with a vegetation canopy height greater than the fourth preset threshold are re-marked as unsuitable locations for monitoring equipment deployment. This is used to further correct the initial calibration of the waterway monitoring equipment deployment suitability map, resulting in the final waterway monitoring equipment deployment suitability map.

[0018] In one embodiment, based on a suitable map for the deployment of waterway monitoring equipment and a preset deployment strategy, the initial deployment locations of the video surveillance equipment are determined, specifically including: When the target waterway is an inland waterway, along both sides of the waterway, in the area marked as a suitable location for the deployment of monitoring equipment on the waterway monitoring equipment deployment suitability map, cross-deployment of monitoring equipment points on both sides is carried out to determine the initial deployment points of the video monitoring equipment. When the target waterway is a boundary river waterway, along one side of the waterway, in the area marked as a suitable location for the deployment of monitoring equipment on the waterway monitoring equipment deployment suitability map, one-sided deployment points are set up to determine the initial deployment points of the video monitoring equipment.

[0019] In one embodiment, based on surface elevation data, the line-of-sight coverage of each initial deployment point to the target waterway is determined, specifically including: Using the buffer analysis method in the geographic information system, based on the surface elevation data, the field of view of each initial deployment point is analyzed to obtain the field of view of each initial deployment point to the target waterway. The visual field of all initial deployment points to the target waterway is spatially superimposed to determine the joint cumulative visual coverage of all initial deployment points to the target waterway, thereby determining the visual coverage range of each initial deployment point to the target waterway.

[0020] In one embodiment, based on the line-of-sight coverage of the target waterway by each initial deployment point, the initial deployment points are adjusted to determine the final location scheme for auxiliary waterway video surveillance points, specifically including: Determine whether the combined cumulative visual coverage rate meets the set coverage standard; If not, add or adjust the deployment points for blind spots in the target waterway that are not covered by any initial deployment points, until the combined cumulative visual coverage meets the set coverage standard. All deployment points that meet the set coverage standard will be determined as the final auxiliary waterway video surveillance point location scheme.

[0021] Secondly, this application provides an auxiliary waterway video surveillance point location selection system, which is used to implement the aforementioned auxiliary waterway video surveillance point location selection method. The auxiliary waterway video surveillance point location selection system includes: The potential area determination unit is used to acquire vector surface format data of the waters where the target channel is located, and based on the vector surface format data, determine the potential areas for the deployment of video surveillance equipment on both sides of the target channel. The data acquisition unit is used to acquire multi-source geospatial data and surface elevation data within the potential area; the multi-source geospatial data includes at least optical remote sensing image data, land use type data, and vegetation canopy height data. The waterway monitoring equipment deployment suitability map determination unit is used to perform a waterway monitoring equipment deployment suitability analysis on each location in the potential area based on the multi-source geospatial data, and determine the waterway monitoring equipment deployment suitability map. The initial deployment point determination unit is used to determine the initial deployment points of video surveillance equipment based on the waterway monitoring equipment deployment suitability map and preset deployment strategy. The line-of-sight coverage determination unit is used to determine the line-of-sight coverage of each initial deployment point to the target waterway based on the surface elevation data. The auxiliary waterway video surveillance point location selection scheme determination unit is used to adjust each initial deployment point based on the line-of-sight coverage of the target waterway by each initial deployment point, and determine the final auxiliary waterway video surveillance point location selection scheme.

[0022] According to the specific embodiments provided in this application, this application has the following technical effects: This application discloses a method and system for assisting in the site selection of video surveillance points in waterways. First, it identifies the potential areas for deploying video surveillance equipment on both banks of the target waterway, automatically and digitally focusing the site selection scope from the "entire environment" to the strip-shaped buffer zone on both banks of the waterway. This avoids aimless searches across the entire area, significantly reducing the scope of manual analysis and improving efficiency. Second, by generating a suitability map for waterway monitoring equipment deployment, it replaces the inefficient process of manually assessing vegetation obstruction and terrain effects at each site, significantly improving efficiency. Third, by utilizing multi-source geospatial data, it transforms subjective estimation into objective quantification, enhancing the scientific basis of site selection. The method ensures accuracy and reliability. Firstly, based on a suitable map and pre-defined deployment strategy for the waterway monitoring equipment, the initial deployment locations of the video surveillance equipment are determined, ensuring that the locations are suitable in terms of static environment (vegetation, land cover), thus solving the problem of traditional methods easily overlooking vegetation obstruction. Then, based on the aforementioned surface elevation data, the visual coverage range of each initial deployment location on the target waterway is determined and adjusted accordingly. Topographical factors are introduced to simulate the actual visible range of each location, and the overall coverage effect is quantitatively evaluated, solving the problem of traditional methods' difficulty in accurately assessing blind spots caused by terrain undulations, further improving accuracy. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a schematic diagram of the auxiliary waterway video monitoring point selection method provided in one embodiment of this application. Detailed Implementation

[0025] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0026] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0027] In one exemplary embodiment, such as Figure 1 As shown, a method for selecting auxiliary video surveillance points in waterways is provided, including the following steps: Wherein: Step S1: Obtain vector surface format data of the waters where the target channel is located, and determine the potential areas for video surveillance equipment to be deployed on both sides of the target channel based on the vector surface format data.

[0028] As an optional implementation, in step S1, based on vector surface format data, the potential areas for deploying video surveillance equipment on both sides of the target waterway are determined, specifically including: Using the buffer analysis method in the geographic information system, the waterway shoreline of the target waterway in vector surface format data is used as the reference to extend a preset width to both sides to form a corresponding strip buffer, and the strip buffer is identified as the potential area for the deployment of video surveillance equipment on both sides of the target waterway.

[0029] Specifically, using geographic information system software or online map services, precise vector surface data of the waterway is obtained, and a buffer zone of a preset width (100m-1000m) is established around the vector surface.

[0030] Step S2: Obtain multi-source geospatial data and surface elevation data within the potential area. The multi-source geospatial data includes at least optical remote sensing image data, land use type data, and vegetation canopy height data.

[0031] Specifically, based on the navigation channel range, select optical remote sensing imagery data of appropriate resolution. Optical remote sensing imagery with a resolution better than 5m is preferred. For needs due to high procurement costs or excessively large navigation channel ranges, optical remote sensing imagery with a resolution of 5m-30m can be selected. Based on the navigation channel range, select land use type data of appropriate resolution. Land use type data can be derived from publicly available remote sensing data products or self-produced land use type data products, but should include land use types such as forest land, cultivated land, grassland, and shrubland, with a data accuracy of at least 80%. Land use type data with a resolution better than 10m is preferred. For needs with excessively large navigation channel ranges, land use type data with a resolution of 10m-30m can be selected. Based on the navigation channel range, select vegetation canopy height data products generated by altimetry satellites. The data format is raster, and the data spatial resolution is 10m-30m. Based on the navigation channel range, select surface elevation data corresponding to publicly available or self-produced Digital Elevation Models (DEMs), with surface elevation data of a resolution of 1m-30m.

[0032] Step S3: Based on the multi-source geospatial data, conduct a suitability analysis of the deployment of monitoring equipment at each location within the potential area to determine a suitable map for the deployment of waterway monitoring equipment.

[0033] As an optional implementation, step S3 specifically includes: Step S31: Based on the optical remote sensing image data, calculate the Normalized Difference Vegetation Index (NDVI) at each location within the potential area.

[0034] Step S32: Based on the normalized vegetation index, generate an initial waterway monitoring equipment deployment suitability map.

[0035] As an optional implementation, step S32 specifically includes: Step S321: Based on the latitude and climate characteristics of the waterway, determine whether the normalized vegetation index of each location in the potential area is greater than the first preset threshold and less than the second preset threshold, and obtain the first judgment result.

[0036] Step S322: If the first judgment result is yes, then mark the corresponding location as a suitable location for the deployment of monitoring equipment.

[0037] Step S323: If the first judgment result is negative, then determine whether the normalized vegetation index at the corresponding location in the potential area is greater than the second preset threshold and less than the third preset threshold, and obtain the second judgment result.

[0038] Step S324: If the second judgment result is yes, then the corresponding location is marked as an unsuitable location for the deployment of monitoring equipment.

[0039] Step S325: The map that marks the suitable locations for the deployment of monitoring equipment and the unsuitable locations for the deployment of monitoring equipment is determined as the initial channel monitoring equipment deployment suitability map.

[0040] Specifically, NDVI is calculated using the near-infrared and red bands. A higher NDVI value indicates denser vegetation cover, which has a greater impact on the line of sight of video surveillance equipment. Areas with lower NDVI values ​​indicate less vegetation cover, making them more suitable for deploying video surveillance equipment. NDVI is divided according to a value range method. Generally, the first preset threshold is -1, the second is 0.3, and the third is 1. If the NDVI value is between -1 and 0.3, it represents suitable deployment; if the NDVI value is between 0.3 and 1, it represents unsuitable deployment. However, the value range needs to be dynamically adjusted according to the latitude or climate zone of the waterway.

[0041] Step S33: Based on the land use type data, the initial waterway monitoring equipment deployment suitability map is corrected to obtain the waterway monitoring equipment deployment suitability map after initial correction.

[0042] As an optional implementation, step S33 specifically includes: Step S331: Filter out unsuitable locations for monitoring equipment deployment in the initial waterway monitoring equipment deployment suitability map where the land use type is grassland, shrubland or cultivated land.

[0043] Step S332: The unsuitable locations for monitoring equipment deployment that are selected as land use types of grassland, shrubland or cultivated land are re-marked as suitable locations for monitoring equipment deployment, so as to correct the initial waterway monitoring equipment deployment suitability map and obtain the waterway monitoring equipment deployment suitability map after initial correction.

[0044] Specifically, the spatial distribution of grassland, shrubland, and cultivated land is obtained (because these three land use types may have high values ​​in the NDVI index, but they are still feasible for deployment in practice, and the height of these land use types will not affect the deployment of monitoring equipment, so they need to be identified separately to remove their influence). Therefore, in the generated initial waterway monitoring equipment deployment suitability map, grassland, cultivated land, and shrubland areas should be designated as suitable locations for monitoring equipment deployment.

[0045] Step S34: Based on the vegetation canopy height data, the initial corrected navigation channel monitoring equipment deployment suitability map is corrected again to obtain the final navigation channel monitoring equipment deployment suitability map.

[0046] As an optional implementation, step S34 specifically includes: Step S341: Select suitable locations for the deployment of monitoring equipment in the initially calibrated channel monitoring equipment deployment suitability map where the vegetation canopy height is greater than the fourth preset threshold.

[0047] Step S342: The suitable locations for the deployment of monitoring equipment that are selected with a vegetation canopy height greater than the fourth preset threshold are re-marked as unsuitable locations for the deployment of monitoring equipment, so as to further correct the initial calibration of the waterway monitoring equipment deployment suitability map and obtain the final waterway monitoring equipment deployment suitability map.

[0048] Specifically, considering the obstruction of view by vegetation height, the site selection should be adjusted to avoid areas with tall vegetation. Areas with a vegetation canopy height of 10m or more are generally considered unsuitable, while areas with a height of less than 10m are suitable. However, this range needs to be adjusted according to the type of monitoring equipment used in practical applications.

[0049] Step S4: Based on the waterway monitoring equipment deployment suitability map and preset deployment strategy, determine the initial deployment locations of the video monitoring equipment.

[0050] As an optional implementation method, based on a suitable map for the deployment of waterway monitoring equipment and a preset deployment strategy, the initial deployment locations of the video surveillance equipment are determined, specifically including: Step S41: When the target waterway is an inland waterway, along both sides of the waterway, in the area marked as a suitable location for the deployment of monitoring equipment on the waterway monitoring equipment deployment suitability map, cross-deploy points on both sides to determine the initial deployment points of the video monitoring equipment.

[0051] Step S42: When the target waterway is a boundary river waterway, along one side of the waterway, in the area marked as a suitable location for the deployment of monitoring equipment on the waterway monitoring equipment deployment suitability map, deploy monitoring points on one side to determine the initial deployment points of the video monitoring equipment.

[0052] Specifically, based on the needs and deployment requirements of waterway monitoring, the locations of video surveillance equipment should be set up. These locations should be able to fully cover the waterway area. If it is an inland waterway, the locations should be set up at equal intervals on both sides of the waterway. If it is a boundary river waterway, the locations should be set up at equal intervals on one side.

[0053] Step S5: Based on the surface elevation data, determine the line-of-sight coverage of each initial deployment point to the target waterway.

[0054] As an optional implementation, step S5 specifically includes: Step S51: Using the buffer analysis method in the geographic information system, based on the surface elevation data, perform a field of view analysis on each initial deployment point to obtain the visible field of view of each initial deployment point on the target waterway.

[0055] Step S52: Spatially overlay the visual field of all initial deployment points on the target channel to determine the joint cumulative visual coverage of all initial deployment points on the target channel, thereby determining the visual coverage range of each initial deployment point on the target channel.

[0056] Specifically, after determining the initial deployment locations, a view analysis needs to be performed on the selected sites to ensure that the video surveillance equipment can cover the entire waterway area. This involves using GIS to perform view analysis based on the initial deployment locations of the video surveillance equipment to ensure coverage of the entire waterway area. The view area analysis results are overlaid with DEM data to evaluate the coverage of the waterway. The impact of terrain on visibility is considered; if blind spots exist in the waterway, the deployment points are adjusted to ensure full coverage of the waterway monitoring range.

[0057] Step S6: Based on the line-of-sight coverage of each initial deployment point to the target waterway, adjust each initial deployment point to determine the final auxiliary waterway video surveillance point location scheme.

[0058] As an optional implementation, step S6 specifically includes: Step S61: Determine whether the combined cumulative visual coverage rate meets the set coverage standard.

[0059] Step S62: If not, add or adjust deployment points for blind spots in the target waterway that are not covered by any initial deployment points, until the combined cumulative visual coverage meets the set coverage standard. All deployment points that meet the set coverage standard are determined as the final auxiliary waterway video surveillance point location scheme.

[0060] Specifically, for areas not covered, the deployment points will be adjusted or increased to ensure that each point can cover key areas of the waterway and meet monitoring requirements.

[0061] Furthermore, the method also includes step S7, revising the final deployment point locations. After determining the final deployment points, the power and network conditions of the deployment points also need to be considered. This mainly includes the following steps: Step S71: For the selected locations in the final auxiliary waterway video surveillance point location plan, comprehensively consider the power conditions of the deployment points to ensure that the deployment points have nearby power supply. For those where the power conditions cannot be met, adjust their locations.

[0062] If the requirements are still not met after the correction in step S72, consider deploying monitoring equipment for the solar power system and updating the deployment points.

[0063] Step S73 generates a vector file of the deployment points, including the latitude and longitude of the points, land use type, administrative region location, and equipment type (stable power energy, solar energy), etc.

[0064] Furthermore, step S8 involves handing over the selected locations to field personnel for on-site adjustments. Following step S7, the final auxiliary waterway video monitoring point location plan needs to be handed over to field personnel for on-site surveying and adjustments. This mainly includes the following steps: Step S81: Convert the vector file of the layout points into a KMZ or KML file for field operations.

[0065] Step S82: Based on KMZ or KML files, field personnel conduct on-site surveys using field software that overlays navigation and high-definition remote sensing images to confirm the reliability of the site selection plan. If the site conditions do not meet the deployment requirements, suitable nearby locations are selected for replacement, and the attribute information of the vector files of the deployment locations is updated for subsequent installation of monitoring equipment.

[0066] Beneficial effects: The waterway video surveillance site selection method proposed in this application, based on multi-source remote sensing data, achieves the scientific, accurate, and efficient deployment of waterway video surveillance points by comprehensively integrating and deeply analyzing multiple remote sensing data sources and combining GIS tools and advanced image processing technologies. This method not only optimizes the site selection process and improves work efficiency but also significantly enhances the accuracy and reliability of the site selection results, providing strong protection for waterway traffic safety and smooth flow.

[0067] 1) By collecting vector surface data, optical remote sensing imagery, land use data, vegetation canopy height data, and DEM data within the waterway's area, a comprehensive understanding of key elements such as topography, vegetation distribution, land use, and elevation information surrounding the waterway is achieved. This comprehensive analysis of the data provides thorough and detailed data support for the selection of video surveillance points, ensuring the comprehensiveness and scientific rigor of the site selection.

[0068] 2) By using GIS tools to establish buffer zones, calculate normalized vegetation index, and obtain land use type data and vegetation canopy height data, it is possible to accurately identify areas around the waterway suitable for setting up video surveillance points and exclude unsuitable areas. This avoids the uncertainty caused by relying on experience judgment or simple geographical condition analysis in traditional site selection methods, and improves the accuracy and rationality of site selection.

[0069] 3) By correcting the suitability map based on the normalized vegetation index, land use data, and vegetation canopy height data, a more realistic site selection scheme is generated. Simultaneously, through view analysis and DEM data overlay evaluation, it is ensured that the deployment of video surveillance points can fully cover the waterway area, and factors such as the camera's field of view and installation conditions are taken into account, thus optimizing the site selection results.

[0070] 4) The actual conditions of the deployment sites were considered, and necessary adjustments were made to the site selection. By comprehensively considering the power grid conditions of the deployment sites, the locations of sites that could not meet the power requirements were adjusted, or monitoring equipment for the solar power system was considered, ensuring the feasibility and reliability of the site selection results. Furthermore, on-site surveys and adjustments by field personnel further improved the accuracy and reliability of the site selection results.

[0071] Based on the same inventive concept, this application also provides an auxiliary waterway video surveillance point location selection system for implementing the aforementioned auxiliary waterway video surveillance point location selection method. The solution provided by this system is similar to the implementation scheme described in the above method. Therefore, the specific limitations of one or more auxiliary waterway video surveillance point location selection system embodiments provided below can be found in the limitations of the auxiliary waterway video surveillance point location selection method described above, and will not be repeated here.

[0072] In one exemplary embodiment, an auxiliary waterway video surveillance point location selection system is provided, comprising: The potential area determination unit is used to acquire vector surface format data of the waters where the target channel is located, and based on the vector surface format data, determine the potential areas for the deployment of video surveillance equipment on both sides of the target channel. The data acquisition unit is used to acquire multi-source geospatial data and surface elevation data within the potential area; the multi-source geospatial data includes at least optical remote sensing image data, land use type data, and vegetation canopy height data. The waterway monitoring equipment deployment suitability map determination unit is used to perform a waterway monitoring equipment deployment suitability analysis on each location in the potential area based on the multi-source geospatial data, and determine the waterway monitoring equipment deployment suitability map. The initial deployment point determination unit is used to determine the initial deployment points of video surveillance equipment based on the waterway monitoring equipment deployment suitability map and preset deployment strategy. The line-of-sight coverage determination unit is used to determine the line-of-sight coverage of each initial deployment point to the target waterway based on the surface elevation data. The auxiliary waterway video surveillance point location selection scheme determination unit is used to adjust each initial deployment point based on the line-of-sight coverage of the target waterway by each initial deployment point, and determine the final auxiliary waterway video surveillance point location selection scheme.

[0073] In addition, it also includes: an auxiliary channel video monitoring point location selection scheme and map export unit, used for high-definition export of generated channel video monitoring point location maps, including JPG format maps or formats used by field software (KML, etc.) maps, to assist in the on-site deployment of monitoring points.

[0074] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, data stored, data displayed, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of the relevant data must comply with relevant regulations.

[0075] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0076] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods, systems, and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for selecting locations for auxiliary waterway video surveillance points, characterized in that, The method for selecting locations for auxiliary waterway video surveillance points includes: Obtain vector surface data of the waters where the target channel is located, and based on the vector surface data, determine the potential areas for the deployment of video surveillance equipment on both sides of the target channel; Acquire multi-source geospatial data and surface elevation data within the potential area; the multi-source geospatial data includes at least optical remote sensing image data, land use type data, and vegetation canopy height data. Based on the multi-source geospatial data, a suitability analysis of the deployment of monitoring equipment is conducted at each location within the potential area to determine a suitable map for the deployment of waterway monitoring equipment. Based on the waterway monitoring equipment deployment suitability map and preset deployment strategy, the initial deployment points of the video monitoring equipment are determined; Based on the surface elevation data, the line-of-sight coverage of each initial deployment point to the target waterway is determined; Based on the line-of-sight coverage of the target waterway by each initial deployment point, the initial deployment points are adjusted to determine the final location scheme for auxiliary waterway video surveillance points.

2. The method for selecting auxiliary waterway video monitoring points according to claim 1, characterized in that, Based on vector surface format data, the potential areas for deploying video surveillance equipment on both sides of the target waterway are determined, specifically including: Using the buffer analysis method in the geographic information system, the waterway shoreline of the target waterway in vector surface format data is used as the reference to extend a preset width to both sides to form a corresponding strip buffer, and the strip buffer is identified as the potential area for the deployment of video surveillance equipment on both sides of the target waterway.

3. The method for selecting auxiliary waterway video monitoring points according to claim 2, characterized in that, Based on the aforementioned multi-source geospatial data, a suitability analysis for the deployment of monitoring equipment at various locations within the potential area is conducted to determine a suitable map for the deployment of waterway monitoring equipment, specifically including: Based on the optical remote sensing image data, the normalized vegetation index is calculated for each location within the potential area. Based on the normalized vegetation index, an initial suitable map for the deployment of waterway monitoring equipment is generated. Based on the land use type data, the initial waterway monitoring equipment deployment suitability map is corrected to obtain the waterway monitoring equipment deployment suitability map after initial correction. Based on vegetation canopy height data, the initial corrected map of waterway monitoring equipment deployment suitability is further corrected to obtain the final map of waterway monitoring equipment deployment suitability.

4. The method for selecting auxiliary waterway video monitoring points according to claim 3, characterized in that, Based on the normalized vegetation index, an initial suitability map for the deployment of waterway monitoring equipment is generated, specifically including: Determine whether the normalized vegetation index at each location within the potential area is greater than a first preset threshold and less than a second preset threshold to obtain the first determination result; If the first judgment result is yes, then the corresponding location will be marked as a suitable location for the deployment of monitoring equipment; If the first judgment result is negative, then determine whether the normalized vegetation index at the corresponding location in the potential area is greater than the second preset threshold and less than the third preset threshold to obtain the second judgment result. If the second judgment result is yes, then the corresponding location is marked as an unsuitable location for the deployment of monitoring equipment; The map that marks suitable and unsuitable locations for the deployment of monitoring equipment will be designated as the initial waterway monitoring equipment deployment suitability map.

5. The method for selecting auxiliary waterway video monitoring points according to claim 4, characterized in that, Based on the land use type data, the initial waterway monitoring equipment deployment suitability map is corrected to obtain a pre-corrected waterway monitoring equipment deployment suitability map, specifically including: Select areas in the initial waterway monitoring equipment deployment suitability map where the land use type is grassland, shrubland, or cultivated land; The unsuitable locations for monitoring equipment deployment in areas with land use types of grassland, shrubland, or cultivated land are re-marked as suitable locations for monitoring equipment deployment. This process is used to correct the initial waterway monitoring equipment deployment suitability map, resulting in a first-corrected waterway monitoring equipment deployment suitability map.

6. The method for selecting auxiliary waterway video surveillance point locations according to claim 5, characterized in that, Based on vegetation canopy height data, the initially corrected waterway monitoring equipment deployment suitability map is further corrected to obtain the final waterway monitoring equipment deployment suitability map, which specifically includes: Select suitable locations for the deployment of monitoring equipment in the waterway monitoring equipment deployment suitability map after the initial correction, where the vegetation canopy height is greater than the fourth preset threshold. The suitable locations for monitoring equipment deployment that are selected with a vegetation canopy height greater than the fourth preset threshold are re-marked as unsuitable locations for monitoring equipment deployment. This is used to further correct the initial calibration of the waterway monitoring equipment deployment suitability map, resulting in the final waterway monitoring equipment deployment suitability map.

7. The method for selecting auxiliary waterway video surveillance point locations according to claim 6, characterized in that, Based on the waterway monitoring equipment deployment suitability map and preset deployment strategy, the initial deployment locations of the video surveillance equipment are determined, specifically including: When the target waterway is an inland waterway, along both sides of the waterway, in the area marked as a suitable location for the deployment of monitoring equipment on the waterway monitoring equipment deployment suitability map, cross-deployment of monitoring equipment points on both sides is carried out to determine the initial deployment points of the video monitoring equipment. When the target waterway is a boundary river waterway, along one side of the waterway, in the area marked as a suitable location for the deployment of monitoring equipment on the waterway monitoring equipment deployment suitability map, one-sided deployment points are set up to determine the initial deployment points of the video monitoring equipment.

8. The method for selecting auxiliary waterway video surveillance point locations according to claim 7, characterized in that, Based on surface elevation data, the line-of-sight coverage of each initial deployment point to the target waterway is determined, specifically including: Using the buffer analysis method in the geographic information system, based on the surface elevation data, the field of view of each initial deployment point is analyzed to obtain the field of view of each initial deployment point to the target waterway. The visual field of all initial deployment points to the target waterway is spatially superimposed to determine the joint cumulative visual coverage of all initial deployment points to the target waterway, thereby determining the visual coverage range of each initial deployment point to the target waterway.

9. The method for selecting auxiliary waterway video surveillance point locations according to claim 8, characterized in that, Based on the line-of-sight coverage of the target waterway from each initial deployment point, the initial deployment points are adjusted to determine the final location scheme for auxiliary waterway video surveillance points, specifically including: Determine whether the combined cumulative visual coverage rate meets the set coverage standard; If not, add or adjust the deployment points for blind spots in the target waterway that are not covered by any initial deployment points, until the combined cumulative visual coverage meets the set coverage standard. All deployment points that meet the set coverage standard will be determined as the final auxiliary waterway video surveillance point location scheme.

10. A system for selecting locations of auxiliary waterway video surveillance points, characterized in that, The auxiliary waterway video surveillance point location selection system is used to implement the auxiliary waterway video surveillance point location selection method according to any one of claims 1-9, and the auxiliary waterway video surveillance point location selection system includes: The potential area determination unit is used to acquire vector surface format data of the waters where the target channel is located, and based on the vector surface format data, determine the potential areas for the deployment of video surveillance equipment on both sides of the target channel. The data acquisition unit is used to acquire multi-source geospatial data and surface elevation data within the potential area; the multi-source geospatial data includes at least optical remote sensing image data, land use type data, and vegetation canopy height data. The waterway monitoring equipment deployment suitability map determination unit is used to perform a waterway monitoring equipment deployment suitability analysis on each location in the potential area based on the multi-source geospatial data, and determine the waterway monitoring equipment deployment suitability map. The initial deployment point determination unit is used to determine the initial deployment points of video surveillance equipment based on the waterway monitoring equipment deployment suitability map and preset deployment strategy. The line-of-sight coverage determination unit is used to determine the line-of-sight coverage of each initial deployment point to the target waterway based on the surface elevation data. The auxiliary waterway video surveillance point location determination unit is used to adjust each initial deployment point based on the line-of-sight coverage of the target waterway by each initial deployment point, and determine the final auxiliary waterway video surveillance point location scheme.

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