CN108763248B - Water area space monitoring fine division method and system - Google Patents
Water area space monitoring fine division method and system Download PDFInfo
- Publication number
- CN108763248B CN108763248B CN201810273395.0A CN201810273395A CN108763248B CN 108763248 B CN108763248 B CN 108763248B CN 201810273395 A CN201810273395 A CN 201810273395A CN 108763248 B CN108763248 B CN 108763248B
- Authority
- CN
- China
- Prior art keywords
- water area
- radar station
- vts radar
- vts
- area
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
Abstract
The invention discloses a method and a system for finely dividing water area space monitoring, wherein parameters such as a relevant surface deviation value, a maximum coverage radius and a minimum coverage radius are set at candidate points of a radar station according to different elevation values of all elevation points in an actual environment, so that a shielding analysis result of the candidate points on a global environment is obtained, and a shielding analysis result of a river to be monitored is further obtained according to the own operation of ArcGIS. Aiming at the multiple coverage effect required by the key water area, the water area required to be monitored is equally divided by adopting a secondary development interface of the ArcGIS, and meanwhile, the shielding analysis result of each candidate point is obtained by adopting the steps.
Description
Technical Field
The disclosure relates to the technical field of water area monitoring, in particular to a water area space monitoring fine dividing method and system.
Background
At present, more than 50 VTS (vessel traffic service) centers and more than 250 radar stations are built or are about to be built in coastal and Yangtze river trunks in China, the total volume of the VTS scale in China accounts for nearly one third of the world, and the VTS scale in China becomes the country with the largest construction VTS and the largest monitored water area in the world. Because the river network is densely distributed in China, the water ships are dense and have more traffic and a plurality of ports along the coastline, the number of ships needing to be monitored by the VTS every year is huge, and the tasks are heavy.
Meanwhile, China puts forward a global development strategy based on 'economic zone of silk road' and 'marine silk road' in the 21 st century, and related policies and strategies bring a new round of joy and rapid development of shipping industry in China. In order to better adapt to the continuous development of the shipping industry and strengthen the safety supervision on coastal and inland water areas in China, the development of new VTS system construction, reconstruction and extension work is imperative.
The radar station is one of the most central components of the VTS center, and the choice of its location and the radar configuration have a decisive influence on the functioning of the system. However, for a long time, the site selection of the VTS radar station always stays in the stage of site selection planning through a qualitative analysis means, and only part of scholars solve the problem of site selection and layout of the radar station through a quantitative modeling means. The main reason for analyzing the radar site coverage area is mainly that the coverage result of the radar site candidate point on the water area unit cannot be accurately determined, and the advantage exertion of a mathematical programming model and an algorithm is limited. Zhangjing (2017) aims at the problem that the site selection of a VTS radar station cannot effectively monitor all water areas under the condition that the site is limited, and other information acquisition means are adopted in a targeted manner by combining the example of newly building a radar station project in the Huang Ye harbor comprehensive harbor area, so that the problem of a monitoring blind area at the far end of a long and narrow channel is solved, and the efficiency of a VTS system is maximized.
With the development and application of the GIS technology, researchers begin to use GIS to perform site selection planning, and in 2014, dawn gardens take education resources as targets for determining the site selection of housing areas, and study is performed by taking the elm area as an example in combination with the space analysis function of the GIS. For example, a GIS spatial information-based site selection and line selection method for a power transmission project is a site selection method for integrally optimizing a transformer substation and a line according to the coordinate of a region to be selected of the transformer substation and a line design terminal. The Zhan Chang Gen combines an analytic hierarchy process and a GIS (geographic information system), carries out site selection modeling on public parking lots in main cities of Lanzhou city, and finally obtains a relevant site selection schematic diagram. The other GIS-based distribution site location method and system comprises the steps of obtaining geographic distribution data of an order according to order data of a selected area, then selecting a candidate area of a distribution site according to a distribution density threshold value of the order, carrying out service area analysis on the candidate area by utilizing road network data, determining the coverage area of the distribution site, and determining the position of the distribution site in the coverage area of the distribution site according to a distribution requirement.
At present, the problem that the accurate coverage result of a radar station on a water area unit cannot be obtained is limited, and the problem of optimizing and locating the VTS radar station cannot be widely applied to practice.
In the prior art, in the existing VTS radar station site selection problem, research objects of the problem are different, and the problem mainly comprises site selection for a VTS radar station and integrated site selection for the VTS radar station and a center, and the documents all have a precondition hypothesis that a water area unit division result is known.
Research on water area dividing technology is less, and most of the water area dividing technology is that equidistant fishing net division is carried out on rivers to be divided, or a Thiessen polygon is adopted to divide the water area. The division method can not provide the accurate division result required by the VTS radar station in the site selection process, so the site selection scheme obtained in the actual site selection process can not reach the optimal condition, and the actual application of the site selection method is limited to a great extent. In the existing site selection literature based on the GIS spatial analysis technology, the problem of view shielding in the actual site selection process is often researched only by applying the GIS spatial analysis technology, and few literatures are researched for space division from the site selection optimization modeling requirement.
Disclosure of Invention
In view of the above, the present disclosure is proposed to provide a water space monitoring fine-partitioning method and system that overcomes or at least partially solves the above problems.
According to one aspect of the disclosure, a water area space monitoring fine division method is provided, which includes:
carrying out occlusion analysis of a global environment on candidate points of the VTS radar station according to the elevation of the candidate points of the VTS radar station and by combining the maximum coverage radius and the minimum coverage radius of the VTS radar station, so as to obtain occlusion analysis data of a monitored water area;
acquiring a vector data graph of the monitored water area, extracting the monitored water area required to be supervised by each VTS radar station candidate point, traversing the included vector data, calculating the area, and dividing the monitored water area required to be supervised into equal areas according to the area to obtain water area division result data;
and acquiring the coverage of each VTS radar station on the monitored water area according to the shielding analysis result data and the water area division result data, and dividing the monitored water area.
The method further comprises the following steps:
marking key water areas in the monitored water areas;
and adjusting the candidate points of the VTS radar station according to the coverage requirement of the key water area.
The method further comprises the following steps:
according to the vector data diagram of the key water area, traversing the included vector data, calculating the area, and dividing the key water area into equal areas according to the area to obtain the dividing result data of the key water area;
and obtaining a key water area division result according to the key water area division result data and the shielding analysis data.
The carrying out occlusion analysis of the global environment on the VTS radar station candidate points comprises the following steps:
and according to the actual elevation of the VTS radar station candidate points and the construction height of the VTS radar station, considering the maximum coverage radius and the minimum coverage distance of the VTS radar station, and performing occlusion analysis of the global environment on the VTS radar station candidate points by taking the integral VTS radar station candidate points as a reference.
The method further comprises the following steps:
and determining the occlusion analysis effect of the VTS radar station on the surrounding environment by taking all the VTS radar station candidate points as a whole to obtain occlusion analysis data of the monitored water area.
The method further comprises the following steps:
performing vision field analysis on the surrounding environment of the VTS radar station to obtain a sight shielding result;
extracting a mask according to the shielding result to obtain a view field analysis result of the monitored water area;
and taking the vision field analysis result as the occlusion analysis data of the monitored water area.
According to another aspect of the present disclosure, there is provided a water area space monitoring fine division system, including:
the occlusion analysis unit is used for carrying out occlusion analysis of the global environment on the VTS radar station candidate points according to the elevations of the VTS radar station candidate points and by combining the maximum coverage radius and the minimum coverage radius of the VTS radar station to obtain occlusion analysis data of a monitored water area;
the rough division unit is used for acquiring a vector data map of the monitored water area, extracting the monitored water area required to be supervised by each VTS radar station candidate point, traversing the included vector data, calculating the area, and dividing the monitored water area required to be supervised by equal area according to the area to obtain water area division result data;
and the fine division unit is used for acquiring the coverage of each VTS radar station on the monitored water area according to the shielding analysis result data and the water area division result data and dividing the monitored water area.
The system further comprises:
the key water area dividing unit is used for marking key water areas in the monitored water area;
the rough dividing unit is further used for traversing the included vector data according to the coverage requirement of the key water area and the vector data map of the key water area, calculating the area, and dividing the key water area into equal areas according to the area to obtain key water area division result data.
The occlusion analysis unit is further configured to:
and according to the actual elevation of the VTS radar station candidate points and the construction height of the VTS radar station, considering the maximum coverage radius and the minimum coverage distance of the VTS radar station, and performing occlusion analysis of the global environment on the VTS radar station candidate points by taking the integral VTS radar station candidate points as a reference.
The occlusion analysis unit is further configured to:
performing vision field analysis on the surrounding environment of the VTS radar station to obtain a sight shielding result;
extracting a mask according to the shielding result to obtain a view field analysis result of the monitored water area;
and taking the vision field analysis result as the occlusion analysis data of the monitored water area.
According to one or more technical schemes of the present disclosure, a scheme for finely dividing a water area space monitoring is provided, and from the perspective of a monitored water area required for researching a VTS, parameters such as a relevant surface deviation value, a maximum coverage radius, a minimum coverage radius and the like are set at a candidate point of a radar station according to differences of elevation values of various elevation points in an actual environment, a view field analysis method based on ArcGIS is provided, so as to obtain a blocking analysis result of the candidate point on a global environment, and further obtain a blocking analysis result of a river to be monitored according to the own operation of the ArcGIS.
In addition, aiming at the multiple coverage effect required by the key water area, the water area required to be monitored is equally divided by adopting a secondary development interface carried by the ArcGIS, and meanwhile, the shielding analysis result of each candidate point is obtained by adopting the steps.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the disclosure. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
FIG. 1 shows a flow chart of a water area space monitoring fine-partitioning method according to one embodiment of the present disclosure;
FIG. 2 illustrates a view occlusion analysis diagram according to one embodiment of the present disclosure;
FIG. 3 shows a graph of offset correlation coefficients according to one embodiment of the present disclosure;
FIG. 4 shows a schematic view of the azimuthal correlation coefficient according to one embodiment of the present disclosure;
FIG. 5 shows a vertical angle correlation coefficient diagram according to one embodiment of the present disclosure;
FIG. 6 illustrates a graph of correlation coefficients for a line of sight radius according to one embodiment of the present disclosure;
FIG. 7 illustrates a monitored water occlusion analysis graph according to one embodiment of the present disclosure;
FIG. 8 illustrates a water area equal division map monitored by a VTS radar station according to one embodiment of the present disclosure;
FIG. 9 illustrates a VTS radar station monitoring water area fine division diagram according to one embodiment of the present disclosure;
fig. 10 shows a schematic structural diagram of a water space monitoring fine division system according to an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
The embodiment of the invention provides a space fine division scheme of a VTS radar station monitoring water area in a GIS environment, aiming at the problems that the existing overwater base station monitoring water area is simple to divide and the VTS radar station site selection cannot be combined with the actual environment, and the division result of the monitoring water area is obtained by combining the space analysis function and the secondary development function of ArcGIS software.
In the actual site selection process, because the important monitoring water area exists, different VTS radar stations are needed to carry out multiple coverage on the same monitoring water area. Through the technology, the multiple coverage result of the radar station candidate point to the water area unit can be accurately calculated, and the requirement of multiple coverage of a special water area in the actual VTS radar station site selection process is met.
According to the embodiments of the invention, based on a GIS space analysis technology, the shielding condition in the actual geographic environment and the problem of multiple coverage of key water areas are considered, the problem of fine division of the VTS radar station on the covered water area space is solved systematically, a data base which is more accurate and more fit with the actual environment is provided for next-stage optimized site selection, and the wide application of the site selection method in the actual field is promoted.
Each embodiment of the patent aims at the problem that sight shielding exists in the VTS radar station in the actual monitoring process of a monitoring water area, and the requirement that key monitoring water areas need to be covered by multiple times is considered, so that the method for finely dividing the space of the monitoring water area of the VTS radar station in the GIS environment is provided. According to the method, the problem of sight shielding in an actual environment is considered, firstly, the VTS radar station is used as a viewpoint to conduct sight shielding analysis on the surrounding environment, then space fine division of a VTS monitoring water area in a GIS environment is achieved, multiple coverage results of radar station candidate points on the fine division results of the water area are finally determined, a data base is laid for subsequent VTS radar station site selection optimization modeling, and practical application of VTS radar station site selection is promoted.
Example one
Fig. 1 shows a flowchart of a water area space monitoring fine division method of the present embodiment, and referring to fig. 1, the method may include:
and step 11, carrying out occlusion analysis of the global environment on the VTS radar station candidate points according to the elevations of the VTS radar station candidate points and by combining the maximum coverage radius and the minimum coverage radius of the VTS radar station, so as to obtain occlusion analysis data of a monitored water area.
According to the method, the overall radar station candidate points are taken as a group of observation points, and the result of the global view analysis is observed after the actual elevations of the VTS radar station candidate points are considered according to the sight line obstruction problem existing in the actual environment. FIG. 2 graphically depicts the basic principles and control of line-of-sight occlusion analysis. The observation point is on the mountain top on the left (at OF1 in the figure). The direction of the field of view is within the cone towards the right. Different field of view analysis results (e.g., height of base station, direction of observation, and degree of elevation observable from the horizon) can be obtained by controlling the relevant parameters.
By setting different parameters in the relevant view parameter data set, the sight line range of the required observation is controlled, such as the elevation value of the observation point, the vertical offset, the horizontal and vertical scanning angles and the scanning distance. The attribute element set has nine items, SPOT, OFFSETA, OFFSETB, AZIMUTH1, AZIMUTH2, VERT1, VERT2, RADIUS1, and RADIUS2, respectively.
The following decomposition introduces the meaning of the individual parameters.
1. The SPOT term is used to define the surface elevation of the observation point.
2. Offset refers to the vertical distance (in units of surface elevation value) added on this basis after taking into account the actual elevation value at a location on the surface. There are generally two offset terms, one for defining the elevation to be added to the observed location and the other for defining the elevation to be added to the observed subject location, which are considerations in analyzing visibility.
Fig. 3 is a diagram illustrating the offset correlation coefficient. Wherein the OFFSETA term is used for determining the vertical distance required to be added to the z value of the observation point on the basis of the surface unit. If OFFSETA exists in the element attribute table, its value (if any) is added to the SPOT elevation; otherwise, it will be added to the interpolated surface z-values. The OFFSETA value must be positive. If an OFFSETA entry does not exist, the default value is 1.
The OFFSETB term is based on surface units to determine the vertical distance that needs to be added to each observed point z value because this distance needs to be considered when analyzing visibility. If an OFFSETB entry exists in the element attribute table, it is added to the surface z value of each observed point when analyzing the value of this entry to determine visibility. This value must be positive. If no OFFSETB entry is found in the element attribute table, then 0 will be defaulted.
3. The azimuth term is used to define the horizontal angular limit of the scan. The scan will proceed in a clockwise direction from the first azimuth angle to the second azimuth angle. The angle value is in degrees and is between 0 ° and 360 °, with 0 ° pointing north.
Fig. 4 is a schematic diagram showing the azimuth correlation coefficient. Wherein the AZIMUTH1 item defines the starting angle of the scanning range. If this entry is not present in the element attribute table, the value will default to 0. The AZIMUTH2 item defines the end angle of the scanning range. The value of azemuth 2 must be greater than the value of azemuth 1. If this entry is not present in the element attribute table, the value will default to 360. If neither AZIMUTH1 nor AZIMUTH2 is defined, a full 360 scan is defaulted.
4. The vertical angle defines the vertical angle limit of the scan. The angles are expressed in degrees between 90 ° and-90 °, with positive values indicating angles above the horizontal and negative values indicating angles below the horizontal. The horizontal plane (0 °) is defined by the z-value of the observation point and the offset value together. Both vertical angles may be negative.
Fig. 5 is a schematic diagram of the vertical angle correlation coefficient. Where the term VERT1 is used to define the upper horizontal angle limit for the scan. If this entry is not present in the element attribute table, the value will default to 90 °. The VERT2 term is used to define the lower horizontal angle limit for the scan. The value of VERT2 must be less than the value of VERT 1. If this entry is not present in the element attribute table, the value will default to-90 deg..
5. A radius. In identifying the regions that can be seen from each observation point, the search distance can be limited using the radius term. Observed points that exceed a certain distance may be excluded from the analysis.
Fig. 6 is a schematic view of the correlation coefficient of the sight-line radius. The RADIUS1 entry is used to define the starting distance for determining visibility. Note that the observed points within RADIUS1 search distance show output that is not visible (i.e., blind) but may interfere with the visibility of the observed points between RADIUS1 and RADIUS 2. RADIUS1 distance is typically a default of 0.
Observed points beyond the RADIUS2 search distance will be excluded from the analysis. The value of RADIUS2 should be greater than the value of RADIUS 1. The default RADIUS2 distance is infinite.
All radar station observation points are taken as a whole, a shielding analysis effect graph of the radar station to the surrounding environment is determined based on the parameter setting, a monitored water area is roughly divided, a foundation is laid for obtaining a fine division result of the water area by combining multiple coverage after the patent, the accuracy of the final water area division result is fundamentally ensured, and the possibility that the VTS radar station site selection problem and the actual are tightly combined is increased.
And step 12, acquiring a vector data graph of the monitored water area, extracting the monitored water area required to be supervised by each VTS radar station candidate point, traversing the included vector data, calculating the area, and dividing the monitored water area required to be supervised into equal areas according to the area to obtain water area division result data.
In the embodiment, for the problem that multiple coverage is needed for monitoring key water areas in the water areas supervised by the VTS radar station, according to a key water area distribution map which is already investigated and labeled by experts on the spot, after the distribution situation of the key water areas is observed, the whole monitored water areas are used as division objects, an area division plug-in based on Python language is developed by using a secondary development interface carried by the ArcGIS, the water areas to be monitored are equally divided, a water area division effect map is obtained, and the multiple coverage of the key monitored water areas is realized.
And integrating the remote sensing image map subjected to geometric correction and the vector data map, and realizing the spatial matching of the two data through the related operation of ArcGIS software.
Extracting a water area needing to be supervised by the VTS radar station from the vector data diagram by utilizing ArcGIS software, traversing vector data included by the water area, and acquiring the area of the water area; and simultaneously, importing the key water area distribution map which is well examined in the field into ArcGIS software, and marking the key water area after geographic registration.
And (4) deciding the number of the water areas to be divided, and operating the monitored water areas by utilizing the developed area division plug-in unit based on the acquired total area of the water areas to obtain a water area division result diagram.
And step 13, acquiring the coverage of each VTS radar station on the monitored water area according to the shielding analysis result data and the water area division result data, and dividing the monitored water area.
And marking each VTS radar station candidate point to obtain the coverage result of each candidate point to each specific water area, realizing multiple coverage to key water areas, and simultaneously obtaining the coverage result of each VTS radar station candidate point to each water area unit to lay a foundation for site selection optimization.
In this embodiment, the experimental verification is performed by using the river reach of the water area part monitored by the VTS radar station in a certain city in the south as experimental data, and the vector data is development supervision water area map data provided by LocaSpaceViewer. The water area division map after the sight shielding analysis of the remote sensing image map and the vector data map which are subjected to the geometric correction is shown in fig. 7. Fig. 8 shows a water area division diagram obtained by dividing a water area after acquiring a total area and a division score.
And then, extracting the shielding analysis effect of the water area to be monitored by utilizing ArcGIS software operation according to the shielding analysis result of the graph 7, then performing superposition analysis on the shielding analysis effect and the division result of the graph 8, wherein the result is shown in the graph 9, and then marking each VTS radar station candidate point to obtain the coverage result of each candidate point to each specific water area, so that multiple coverage to key water areas is realized, and meanwhile, the coverage result of each VTS radar station candidate point to each water area unit can be obtained, and a foundation is laid for site selection optimization.
In the embodiment, in the water area dividing process, due to the fact that the surrounding environment of the VTS radar station may be shielded, after the elevation of the radar station candidate point and the height of the base station to be established are considered, the maximum coverage radius and the minimum coverage distance of the radar station are considered, the surrounding environment of the VTS radar station is subjected to view area analysis to obtain a sight shielding result (including a river), and on the basis, the shielding result of the river is subjected to mask extraction to obtain a view area analysis result of the monitored water area.
In an actual water area monitored by the VTS radar station, some water areas needing important monitoring may exist, and therefore, a plurality of VTS radar stations may be required to cover the same water area unit at the same time. Aiming at key monitored water areas, the method adopts equal-area division to distinguish the key monitored water areas from other common monitored water areas, lays a foundation for next fine division, and is a key step for realizing multiple coverage of the key water areas.
And obtaining the occlusion analysis result of each VTS radar station by adopting the occlusion analysis step, labeling each candidate point, and combining the labeled candidate point with the obtained integral occlusion analysis result graph of the radar station candidate points and the water area equal division result graph to obtain the observation condition of each VTS station on each specific water area unit, thereby ensuring that the VTS radar station site selection model can adopt more accurate data to perform program operation, obtaining a more ideal radar station site selection result and realizing the resource saving.
Example two
As shown in fig. 10, there is disclosed a water space monitoring fine division system, wherein,
the occlusion analysis unit 21 is configured to perform occlusion analysis of the global environment on the VTS radar station candidate points according to elevations of the VTS radar station candidate points and by combining maximum and minimum coverage radii of the VTS radar station itself, so as to obtain occlusion analysis data of a monitored water area;
the rough division unit 22 is configured to obtain a vector data map of the monitored water area, extract the monitored water area to be supervised by each VTS radar station candidate point, traverse the included vector data, calculate an area, and divide the monitored water area to be supervised into equal areas according to the area to obtain water area division result data;
and the fine dividing unit 23 is configured to obtain coverage of each VTS radar station on the monitored water area according to the occlusion analysis result data and the water area dividing result data, and divide the monitored water area.
The system further comprises:
a key water area dividing unit 24 for marking key water areas in the monitoring water area;
the rough dividing unit 22 is further configured to traverse the included vector data according to the coverage requirement of the key water area and the vector data map of the key water area, calculate an area, and divide the key water area into equal areas according to the area to obtain key water area division result data.
The occlusion analysis unit 21 is further configured to:
and according to the actual elevation of the VTS radar station candidate points and the construction height of the VTS radar station, considering the maximum coverage radius and the minimum coverage distance of the VTS radar station, and performing occlusion analysis of the global environment on the VTS radar station candidate points by taking the integral VTS radar station candidate points as a reference.
The occlusion analysis unit 21 is further configured to:
performing vision field analysis on the surrounding environment of the VTS radar station to obtain a sight shielding result;
extracting a mask according to the shielding result to obtain a view field analysis result of the monitored water area;
and taking the vision field analysis result as the occlusion analysis data of the monitored water area.
According to one or more technical schemes of the present disclosure, a scheme for finely dividing a water area space monitoring is provided, and from the perspective of a monitored water area required for researching a VTS, parameters such as a relevant surface deviation value, a maximum coverage radius, a minimum coverage radius and the like are set at a candidate point of a radar station according to differences of elevation values of various elevation points in an actual environment, a view field analysis method based on ArcGIS is provided, so as to obtain a blocking analysis result of the candidate point on a global environment, and further obtain a blocking analysis result of a river to be monitored according to the own operation of the ArcGIS.
In addition, aiming at the multiple coverage effect required by the key water area, the water area required to be monitored is equally divided by adopting a secondary development interface carried by the ArcGIS, and meanwhile, the shielding analysis result of each candidate point is obtained by adopting the steps.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the disclosure may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the disclosure, various features of the disclosure are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that is, the claimed disclosure requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this disclosure.
Those skilled in the art will appreciate that the modules in the device in an embodiment may be adaptively changed and disposed in one or more devices different from the embodiment. The modules or units or components of the embodiments may be combined into one module or unit or component, and furthermore they may be divided into a plurality of sub-modules or sub-units or sub-components. All of the features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or elements of any method or apparatus so disclosed, may be combined in any combination, except combinations where at least some of such features and/or processes or elements are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings) may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Moreover, those skilled in the art will appreciate that while some embodiments described herein include some features included in other embodiments, rather than other features, combinations of features of different embodiments are meant to be within the scope of the disclosure and form different embodiments. For example, any of the embodiments claimed in the claims can be used in any combination.
Various component embodiments of the disclosure may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. The present disclosure may also be embodied as device or system programs (e.g., computer programs and computer program products) for performing a portion or all of the methods described herein. Such programs implementing the present disclosure may be stored on a computer-readable medium or may be in the form of one or more signals. Such a signal may be downloaded from an internet website or provided on a carrier signal or in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the disclosure, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The disclosure may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several systems, several of these systems may be embodied by one and the same item of hardware.
The foregoing is directed to embodiments of the present disclosure, and it is noted that numerous improvements, modifications, and variations may be made by those skilled in the art without departing from the spirit of the disclosure, and that such improvements, modifications, and variations are considered to be within the scope of the present disclosure.
Claims (10)
1. A water area space monitoring fine division method is characterized by comprising the following steps:
carrying out occlusion analysis of a global environment on candidate points of the VTS radar station according to the elevation of the candidate points of the VTS radar station and by combining the maximum coverage radius and the minimum coverage radius of the VTS radar station, so as to obtain occlusion analysis data of a monitored water area;
acquiring a vector data graph of the monitored water area, extracting the monitored water area required to be supervised by each VTS radar station candidate point, traversing the included vector data, calculating the area, and dividing the monitored water area required to be supervised into equal areas according to the area to obtain water area division result data;
and acquiring the coverage of each VTS radar station on the monitored water area according to the shielding analysis data and the water area division result data, and dividing the monitored water area.
2. The method of claim 1, wherein the method further comprises:
marking key water areas in the monitored water areas;
and adjusting the candidate points of the VTS radar station according to the coverage requirement of the key water area.
3. The method of claim 2, wherein the method further comprises:
according to the vector data diagram of the key water area, traversing the included vector data, calculating the area, and dividing the key water area into equal areas according to the area to obtain the dividing result data of the key water area;
and obtaining a key water area division result according to the key water area division result data and the shielding analysis data.
4. The method of claim 1, wherein the performing an occlusion analysis of the global environment on the VTS radar station candidate points comprises:
and according to the actual elevation of the VTS radar station candidate points and the construction height of the VTS radar station, considering the maximum coverage radius and the minimum coverage distance of the VTS radar station, and performing occlusion analysis of the global environment on the VTS radar station candidate points by taking the integral VTS radar station candidate points as a reference.
5. The method of claim 4, wherein the method further comprises:
and determining the occlusion analysis effect of the VTS radar station on the surrounding environment by taking all the VTS radar station candidate points as a whole to obtain occlusion analysis data of the monitored water area.
6. The method of claim 1, wherein the method further comprises:
performing vision field analysis on the surrounding environment of the VTS radar station to obtain a sight shielding result;
extracting a mask according to the shielding result to obtain a view field analysis result of the monitored water area;
and taking the vision field analysis result as the occlusion analysis data of the monitored water area.
7. A water area space monitoring fine dividing system is characterized by comprising:
the occlusion analysis unit is used for carrying out occlusion analysis of the global environment on the VTS radar station candidate points according to the elevations of the VTS radar station candidate points and by combining the maximum coverage radius and the minimum coverage radius of the VTS radar station to obtain occlusion analysis data of a monitored water area;
the rough division unit is used for acquiring a vector data map of the monitored water area, extracting the monitored water area required to be supervised by each VTS radar station candidate point, traversing the included vector data, calculating the area, and dividing the monitored water area required to be supervised by equal area according to the area to obtain water area division result data;
and the fine division unit is used for acquiring the coverage of each VTS radar station on the monitored water area according to the shielding analysis data and the water area division result data and dividing the monitored water area.
8. The system of claim 7, wherein the system further comprises:
the key water area dividing unit is used for marking key water areas in the monitored water area;
the rough dividing unit is further used for traversing the included vector data according to the coverage requirement of the key water area and the vector data map of the key water area, calculating the area, and dividing the key water area into equal areas according to the area to obtain key water area division result data.
9. The system of claim 7, wherein the occlusion analysis unit is further to:
and according to the actual elevation of the VTS radar station candidate points and the construction height of the VTS radar station, considering the maximum coverage radius and the minimum coverage distance of the VTS radar station, and performing occlusion analysis of the global environment on the VTS radar station candidate points by taking the integral VTS radar station candidate points as a reference.
10. The system of claim 7, wherein the occlusion analysis unit is further to:
performing vision field analysis on the surrounding environment of the VTS radar station to obtain a sight shielding result;
extracting a mask according to the shielding result to obtain a view field analysis result of the monitored water area;
and taking the vision field analysis result as the occlusion analysis data of the monitored water area.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810273395.0A CN108763248B (en) | 2018-03-29 | 2018-03-29 | Water area space monitoring fine division method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810273395.0A CN108763248B (en) | 2018-03-29 | 2018-03-29 | Water area space monitoring fine division method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN108763248A CN108763248A (en) | 2018-11-06 |
| CN108763248B true CN108763248B (en) | 2022-03-15 |
Family
ID=63980794
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810273395.0A Active CN108763248B (en) | 2018-03-29 | 2018-03-29 | Water area space monitoring fine division method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108763248B (en) |
Families Citing this family (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111610494B (en) * | 2020-05-27 | 2022-08-19 | 武汉理工大学 | VTS radar configuration signal coverage optimization method |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6690318B1 (en) * | 2002-12-27 | 2004-02-10 | General Atomics | Cellular radar |
| CN102981701A (en) * | 2012-11-01 | 2013-03-20 | 四川大学 | Method for small watershed division by using Google Earth |
| CN106651052A (en) * | 2016-12-30 | 2017-05-10 | 中国地质大学（武汉） | Ground precipitation station layout optimization method and device |
| CN106777917A (en) * | 2016-11-29 | 2017-05-31 | 武汉理工大学 | Hydraulic structure is calculated maritime affairs traffic control radar shaded areas and influence evaluation method |
| CN206226619U (en) * | 2016-12-02 | 2017-06-06 | 上海无线电设备研究所 | Waters dynamically monitors base station system altogether |
| CN106815467A (en) * | 2016-12-12 | 2017-06-09 | 河海大学 | A kind of River Basin Hydrology zoning methods that similarity analysis are counted based on big data |
| CN106951994A (en) * | 2017-03-21 | 2017-07-14 | 武汉理工大学 | A kind of site selecting method of marine emergency management and rescue website |
-
2018
- 2018-03-29 CN CN201810273395.0A patent/CN108763248B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6690318B1 (en) * | 2002-12-27 | 2004-02-10 | General Atomics | Cellular radar |
| CN102981701A (en) * | 2012-11-01 | 2013-03-20 | 四川大学 | Method for small watershed division by using Google Earth |
| CN106777917A (en) * | 2016-11-29 | 2017-05-31 | 武汉理工大学 | Hydraulic structure is calculated maritime affairs traffic control radar shaded areas and influence evaluation method |
| CN206226619U (en) * | 2016-12-02 | 2017-06-06 | 上海无线电设备研究所 | Waters dynamically monitors base station system altogether |
| CN106815467A (en) * | 2016-12-12 | 2017-06-09 | 河海大学 | A kind of River Basin Hydrology zoning methods that similarity analysis are counted based on big data |
| CN106651052A (en) * | 2016-12-30 | 2017-05-10 | 中国地质大学（武汉） | Ground precipitation station layout optimization method and device |
| CN106951994A (en) * | 2017-03-21 | 2017-07-14 | 武汉理工大学 | A kind of site selecting method of marine emergency management and rescue website |
Non-Patent Citations (2)
| Title |
|---|
| 《Application of GIS Techniques in VTS Radar Stations Planning》;Jacek Lubczonek;《IEEE》;20080801;第1-4页 * |
| 《基于集合覆盖的VTS雷达站选址优化模型》;曹德胜等;《北京理工大学学报》;20140712;第752-756页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN108763248A (en) | 2018-11-06 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN106842231B (en) | A kind of road edge identification and tracking | |
| Wang et al. | Automatic intersection and traffic rule detection by mining motor-vehicle GPS trajectories | |
| US9536313B2 (en) | Method and apparatus for direct detection, location, analysis, identification, and reporting of vegetation clearance violations | |
| CN102074047B (en) | High-fineness urban three-dimensional modeling method | |
| CN102147250B (en) | Digital line graph mapping method | |
| CN112558076B (en) | Volume scanning mode calculation method based on networking weather radar coverage area and application | |
| CN102833680A (en) | Position-based marine fishery information serving method | |
| WO2014062118A1 (en) | System and method in connection with occurrence of platoons | |
| CN104376595A (en) | Method for generating three-dimensional roads on basis of airborne LiDAR (light detection and ranging) and GIS (geographic information system) cooperation | |
| CN104536009A (en) | Laser infrared composite ground building recognition and navigation method | |
| CN105203023A (en) | One-stop calibration method for arrangement parameters of vehicle-mounted three-dimensional laser scanning system | |
| CN102279406A (en) | Fence identification method using global positioning system (GPS) to position tracks | |
| CN103745018A (en) | Multi-platform point cloud data fusion method | |
| CN104422451A (en) | Road recognition method and road recognition apparatus | |
| CN105206057A (en) | Detection method and system based on floating car resident trip hot spot regions | |
| Liu et al. | An improved line-of-sight method for visibility analysis in 3D complex landscapes | |
| CN105427177A (en) | Automatic farmland four-boundary calculation method based on GIS (Geographic Information System) | |
| CN114252884A (en) | Method and device for positioning and monitoring roadside radar, computer equipment and storage medium | |
| Li et al. | Feature extraction and modeling of urban building from vehicle-borne laser scanning data | |
| CN116429070A (en) | Water resource investigation method and system for coal mining subsidence water accumulation area | |
| CN108763248B (en) | Water area space monitoring fine division method and system | |
| CN107016147B (en) | Setting space searching method and computer-readable recording medium | |
| CN109165553B (en) | Petroleum facility remote sensing automatic identification method and device based on deep learning | |
| Chen et al. | Feasibility study of using mobile laser scanning point cloud data for GNSS line of sight analysis | |
| CN112166688B (en) | Method for monitoring desert and desertification land based on minisatellite |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |