CN111027791A - Monitoring resource management method and device - Google Patents
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Abstract
The invention discloses a monitoring resource management method and device, and belongs to the field of security and protection. The method comprises the following steps: acquiring the geographical positions of a plurality of cases occurring in a designated area; acquiring case distribution information in the designated area according to the geographical positions of the cases; determining a case concentrated area in the designated area according to the case distribution information; and uniformly managing a plurality of monitoring resources related to the case centralized area. The invention can greatly improve the management efficiency of the monitoring resources.
Description
Technical Field
The invention relates to the field of security and protection, in particular to a monitoring resource management method and device.
Background
In the security field, monitoring resource management is an important function, and the monitoring resource management refers to management of monitoring resources (such as security equipment) deployed in various places in the security field.
At present, when a plurality of monitoring resources deployed in any area need to be managed, an allocating person can select one monitoring resource to be allocated, and each time one monitoring resource is selected, the monitoring resource is allocated to a relevant monitoring person for management until all the monitoring resources in the area are allocated.
In the process of implementing the invention, the inventor finds that the related art has at least the following problems:
according to the technology, monitoring resources need to be allocated to monitoring personnel one by one for management, and for case high-incidence areas needing important monitoring, more monitoring resources are often deployed, so that the problem of low management efficiency can be faced by the mode.
Disclosure of Invention
The embodiment of the invention provides a monitoring resource management method and device, which can solve the problem of low management efficiency of the related technology. The technical scheme is as follows:
in a first aspect, a monitoring resource management method is provided, where the method includes:
acquiring the geographical positions of a plurality of cases occurring in a designated area;
acquiring case distribution information in the designated area according to the geographical positions of the cases;
determining a case concentrated area in the designated area according to the case distribution information;
and uniformly managing a plurality of monitoring resources related to the case centralized area.
In a possible implementation manner, the plurality of monitoring resources related to the case centralized region include monitoring resources whose geographic positions are located in the case centralized region, and/or monitoring resources whose distance between the geographic positions and the case centralized region is less than a preset distance, and/or monitoring resources whose monitoring ranges and the case centralized region have an overlapping region exceeding a preset range.
In a possible implementation manner, the geographic location is represented by geographic coordinates, and the obtaining of case distribution information in the designated area according to the geographic locations of the cases includes:
converting the geographic coordinates of each case into pixel coordinates in the designated area on the map, wherein one pixel coordinate corresponds to one case or a plurality of cases;
and acquiring case distribution information in the specified area according to the distribution information of the pixels corresponding to each case.
In a possible implementation manner, the obtaining case distribution information in the designated area according to the distribution information of the pixel corresponding to each case includes:
dividing the designated area on the map into a plurality of sub-areas;
counting the case number of each sub-area according to the pixel coordinate corresponding to each case, wherein for each sub-area, the case number of the sub-area is the sum of the case numbers corresponding to the pixel coordinates in the sub-area;
correspondingly, the determining a case concentrated area in the designated area according to the case distribution information includes:
and determining the sub-areas with the number of cases larger than the preset number as the case concentration areas according to the number of cases of each sub-area.
In a possible implementation manner, the obtaining case distribution information in the designated area according to the distribution information of the pixel corresponding to each case includes:
calculating the weight of each pixel in the designated area on the map according to the pixel coordinate corresponding to each case, wherein for each pixel, the weight of the pixel is the sum of a plurality of weights, each weight is determined according to the distance between the pixel and the pixel corresponding to one case, and the smaller the distance, the larger the determined weight is;
correspondingly, the determining a case concentrated area in the designated area according to the case distribution information includes:
and determining the case concentration area according to the weight of each pixel in the designated area, wherein the number of target pixels in the case concentration area is greater than a preset threshold value, and the target pixels are pixels with weights greater than the target weight.
In a possible implementation manner, the calculating a weight of each pixel in the designated area on the map according to the pixel coordinate corresponding to each case includes:
for each case, drawing a circular area with a specified radius by taking the pixel coordinate corresponding to the case as the center of a circle;
calculating the weight of each pixel in the circular area according to the distance between each pixel in the circular area and the circle center, wherein the smaller the distance between each pixel and the circle center is, the larger the weight is;
for each pixel within the specified region, calculating a sum of a plurality of weights for the pixel, each weight resulting from calculating the weight for each pixel in a circular region containing the pixel.
In a second aspect, a monitoring resource management apparatus is provided, the apparatus comprising:
the acquisition module is used for acquiring the geographic positions of a plurality of cases occurring in a specified area;
the acquisition module is further used for acquiring case distribution information in the designated area according to the geographical positions of the cases;
the determining module is used for determining a case concentrated area in the designated area according to the case distribution information;
and the management module is used for uniformly managing a plurality of monitoring resources related to the case centralized area.
In a possible implementation manner, the plurality of monitoring resources related to the case centralized region include monitoring resources whose geographic positions are located in the case centralized region, and/or monitoring resources whose distance between the geographic positions and the case centralized region is less than a preset distance, and/or monitoring resources whose monitoring ranges and the case centralized region have an overlapping region exceeding a preset range.
In a possible implementation manner, the geographic location is represented by geographic coordinates, the obtaining module is configured to convert the geographic coordinates of each case into pixel coordinates in the designated area on a map, and one pixel coordinate corresponds to one case or multiple cases; and acquiring case distribution information in the specified area according to the distribution information of the pixels corresponding to each case.
In one possible implementation manner, the obtaining module is configured to divide the designated area on the map into a plurality of sub-areas; counting the case number of each sub-area according to the pixel coordinate corresponding to each case, wherein for each sub-area, the case number of the sub-area is the sum of the case numbers corresponding to the pixel coordinates in the sub-area;
correspondingly, the determining module is used for determining the sub-areas with the number of cases larger than the preset number as the case concentration areas according to the number of cases of each sub-area.
In a possible implementation manner, the obtaining module is configured to calculate, according to a pixel coordinate corresponding to each case, a weight of each pixel in the designated area on the map, where, for each pixel, the weight of the pixel is a sum of a plurality of weights, and each weight is determined according to a distance between the pixel and a pixel corresponding to a case, and the smaller the distance, the larger the determined weight is;
correspondingly, the determining module is configured to determine the case concentrated region according to the weight of each pixel in the designated region, where the number of target pixels in the case concentrated region is greater than a preset threshold, and the target pixels are pixels whose weights are greater than a target weight.
In a possible implementation manner, the obtaining module is configured to draw, for each case, a circular area with a specified radius by using the pixel coordinate corresponding to the case as a center of a circle; calculating the weight of each pixel in the circular area according to the distance between each pixel in the circular area and the circle center, wherein the smaller the distance between each pixel and the circle center is, the larger the weight is; for each pixel within the specified region, calculating a sum of a plurality of weights for the pixel, each weight resulting from calculating the weight for each pixel in a circular region containing the pixel.
In a third aspect, an electronic device is provided that includes a processor and a memory; the memory is used for storing at least one instruction; the processor is configured to execute at least one instruction stored in the memory to implement the method steps of any one of the implementation manners of the first aspect.
In a fourth aspect, a computer-readable storage medium is provided, in which at least one instruction is stored, and the at least one instruction, when executed by a processor, implements the method steps of any one of the implementations of the first aspect.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
the case distribution information in the designated area is obtained according to the geographical positions of the cases in the designated area, and the case distribution information can reflect the case concentration situation, so that the case concentration area in the designated area can be accurately determined according to the case distribution information.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a monitoring resource management method according to an embodiment of the present invention;
fig. 2 is a flowchart of a monitoring resource management method according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a monitoring resource management apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device 400 according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Fig. 1 is a flowchart of a monitoring resource management method according to an embodiment of the present invention. Referring to fig. 1, the method includes:
101. the geographic locations of a plurality of cases occurring within a specified area are obtained.
102. And acquiring case distribution information in the designated area according to the geographical positions of the cases.
103. And determining a case concentrated area in the designated area according to the case distribution information.
104. And uniformly managing a plurality of monitoring resources related to the case centralized area.
According to the method provided by the embodiment of the invention, the case distribution information in the designated area is obtained according to the geographical positions of a plurality of cases occurring in the designated area, and the case distribution information can reflect the case concentration situation, so that the case concentration area in the designated area can be accurately determined according to the case distribution information.
In one possible implementation manner, the plurality of monitoring resources related to the case centralized area include monitoring resources whose geographic positions are located in the case centralized area, and/or monitoring resources whose geographic positions are less than a preset distance from the case centralized area, and/or monitoring resources whose monitoring ranges have an overlapping area with the case centralized area that exceeds a preset range.
In one possible implementation manner, the geographic location is represented by geographic coordinates, and the obtaining of case distribution information in the designated area according to the geographic locations of the cases includes:
converting the geographic coordinates of each case into pixel coordinates in the designated area on the map, wherein one pixel coordinate corresponds to one case or a plurality of cases;
and acquiring the case distribution information in the specified area according to the distribution information of the pixels corresponding to each case.
In a possible implementation manner, the obtaining case distribution information in the designated area according to the distribution information of the pixel corresponding to each case includes:
dividing the designated area on the map into a plurality of sub-areas;
counting the case number of each sub-area according to the pixel coordinate corresponding to each case, wherein for each sub-area, the case number of the sub-area is the sum of the case numbers corresponding to the pixel coordinates in the sub-area;
correspondingly, the determining a case concentrated area in the designated area according to the case distribution information includes:
and determining the sub-areas with the number of cases larger than the preset number as the case concentration areas according to the number of cases of each sub-area.
In a possible implementation manner, the obtaining case distribution information in the designated area according to the distribution information of the pixel corresponding to each case includes:
calculating the weight of each pixel in the designated area on the map according to the pixel coordinate corresponding to each case, wherein the weight of each pixel is the sum of a plurality of weights, each weight is determined according to the distance between the pixel and a pixel corresponding to the case, and the smaller the distance, the larger the determined weight is;
correspondingly, the determining a case concentrated area in the designated area according to the case distribution information includes:
and determining the case concentration area according to the weight of each pixel in the designated area, wherein the number of target pixels in the case concentration area is greater than a preset threshold value, and the target pixels are pixels with weights greater than the target weights.
In one possible implementation manner, the calculating the weight of each pixel in the designated area on the map according to the pixel coordinate corresponding to each case includes:
for each case, drawing a circular area with a specified radius by taking the pixel coordinate corresponding to the case as the center of a circle;
calculating the weight of each pixel in the circular area according to the distance between each pixel in the circular area and the center of the circle, wherein the smaller the distance between the pixel and the center of the circle, the larger the weight;
for each pixel within the specified region, a sum of a plurality of weights for the pixel is calculated, each weight resulting from calculating the weight for each pixel in a circular region containing the pixel.
All the above-mentioned optional technical solutions can be combined arbitrarily to form the optional embodiments of the present invention, and are not described herein again.
Fig. 2 is a flowchart of a monitoring resource management method according to an embodiment of the present invention. The method may be performed by an electronic device, see fig. 2, the method comprising:
201. the geographic locations of a plurality of cases occurring within a specified area are obtained.
The plurality of cases can refer to cases related to the security field, such as various criminal cases; the geographical locations of the cases refer to the geographical locations of the locations of occurrence of the cases.
In one possible implementation, the electronic device may obtain the plurality of cases and the geographic locations of the plurality of cases from a case database. For example, the electronic device may maintain a case database, which is used to record all cases that have occurred and case information of each case, and the case information may include the occurrence time, the occurrence location, and the geographic location of the occurrence location of the case. Of course, the case information may also include other basic information of the case, such as the specific content of the case. Every time a case occurs, the administrator can record the case information of the case into the case database. Specifically, the electronic device may screen the plurality of cases from all recorded cases according to the designated area and the designated time range, wherein the geographical locations of the plurality of cases are located in the designated area, and the occurrence time of the plurality of cases is within the designated time range. For example, the designated area may be the sunny region of Beijing, and the designated time frame may be within the last year.
Optionally, the electronic device may label the plurality of cases on the map according to the geographical locations of the plurality of cases. For each case, the electronic device may find the geographic position on the map according to the geographic position of the case, and mark (or render) the case on the map at the geographic position by using a preset marking method. The preset labeling manner may be a labeling manner in the form of inserting a flag, or may be other manners, such as a bubble form, and the like. If a plurality of cases are located at the same geographical position, a plurality of labels are placed at the geographical position, for example, a plurality of flags are inserted, so that a user can visually see that a plurality of cases occur at the geographical position.
The process that the electronic device labels the plurality of cases on the map can be realized based on the case layer, for example, the electronic device can create an individual geographical layer as the case layer, and render the plurality of cases on the case layer according to the geographical positions of the plurality of cases. The plurality of cases are marked on the map according to the geographical positions of the plurality of cases, so that the plurality of cases can be displayed on the map, and a user can intuitively see the number of cases in which places.
202. And acquiring case distribution information in the designated area according to the geographical positions of the cases.
In one possible implementation, the geographic location may be represented by geographic coordinates (latitude and longitude information), and accordingly, the obtaining of case distribution information in the designated area according to the geographic locations of the cases may include the following steps 202A and 202B:
202A, converting the geographic coordinates of each case into pixel coordinates in the designated area on the map, wherein one pixel coordinate corresponds to one case or a plurality of cases.
The geographic coordinates describe the position of the occurrence place of the case on the earth through longitude and latitude, the pixel coordinates are used for describing the position of the pixel on the map, and the pixel coordinates corresponding to the case can be used for representing the position of the occurrence place of the case on the map by converting the geographic coordinates of the case into the pixel coordinates. The geographical coordinates and the pixel coordinates are in different coordinate systems, e.g. the geographical coordinates belong to a geographical coordinate system (spherical coordinate system), such as the WGS (World geodetic system) 84 coordinate system, and the pixel coordinates belong to a planar coordinate system, such as the coordinate system obtained from an approximately ellipsoidal projection of the earth.
In one possible implementation, for any case, the process of the electronic device converting the geographic coordinates of the case to pixel coordinates in a map may include: the electronic device converts the geographic coordinates into plane coordinates through the bmap mercatorprojection class, and then rounds the plane coordinates down to obtain pixel coordinates. Mercatorprojection class is used to provide a method for converting longitude and latitude coordinates and plane coordinates into each other.
Alternatively, the electronic device may construct a target array, such as a DATAS, based on the geographic locations of a plurality of cases, where each element in the target array represents a case, where there may be duplicate elements in the target array, e.g., where the geographic locations of two cases are the same, and where there are two identical elements in the target array to represent the two cases. Furthermore, the electronic device may traverse each case in the target array, and convert the geographic coordinates of the case into pixel coordinates in a map by using the above manner every time any case is traversed.
By performing step 202A, the geographic coordinates of each case can be converted to a pixel coordinate in the map, so that each case can correspond to a pixel in the map, and different cases with the same geographic location correspond to the same pixel.
202B, acquiring the case distribution information in the designated area according to the distribution information of the pixels corresponding to each case.
This step 202B includes at least two possible implementations:
the first way is to divide the designated area on the map into a plurality of sub-areas; and counting the case number of each sub-area according to the pixel coordinate corresponding to each case, wherein for each sub-area, the case number of the sub-area is the sum of the case numbers corresponding to the pixel coordinates in the sub-area.
In this manner, the case distribution information is represented by the number of cases per sub-area, and the distribution of cases in sub-areas is more concentrated as the number of cases is larger. For example, the electronic device may divide the designated area on the map according to grids, each sub-area may include the same number of grids, and of course, the number of grids of each sub-area may also be different.
In the second way, the weight of each pixel in the designated area on the map is calculated according to the pixel coordinate corresponding to each case, for each pixel, the weight of the pixel is the sum of a plurality of weights, each weight is determined according to the distance between the pixel and a pixel corresponding to the case, and the determined weight is larger when the distance is smaller.
In this embodiment, the case distribution information is represented by the weight of each pixel in the designated area, and the case distribution around the pixel having a larger weight is concentrated. The process of calculating the weight by the electronic device may include: for each case, drawing a circular area with a specified radius by taking the pixel coordinate corresponding to the case as the center of a circle; calculating the weight of each pixel in the circular area according to the distance between each pixel in the circular area and the center of the circle, wherein the smaller the distance between the pixel and the center of the circle, the larger the weight; for each pixel within the specified region, a sum of a plurality of weights for the pixel is calculated, each weight resulting from calculating the weight for each pixel in a circular region containing the pixel.
For the pixel coordinates corresponding to each case, a circular area is drawn, each time a circular area is drawn, a weight of a pixel can be calculated, different circular areas may contain the same pixel, the pixel may be calculated to obtain a plurality of weights, and the electronic device may use all the weights as the final weight of the pixel.
In one possible implementation, the electronic device can create a base map IMAGE of the map that covers the designated area in the map before drawing the circular area. Only the designated area on the map may be displayed in the base map. Of course,the designated area and the area around the designated area may also be displayed in the base map, or each area on the map may be displayed, which is not limited in the embodiment of the present invention. The base map is generally placed at the bottommost part of a plurality of layers in the process of drawing, and forms a basic framework of the base map, and after the base map is provided, elements related to the base map, namely data sets, can be orderly overlaid on the base map in a layer form. Further, the electronic device may traverse the plurality of cases, and when the electronic device traverses any case, the electronic device may find the pixel coordinate in the base map, and draw a circle of a specified radius with the pixel coordinate as a center of the circle, where the coordinate of the center of the circle is the pixel coordinate. The electronic device may assign a weight of 1 to the center of the circle and a weight of 0 to the boundary of the circle. For each pixel in the circular region, the electronic device may adopt a strategy of gradually changing weights from the center of the circle to the boundary to obtain the weight of each pixel in the circular region. For example, the electronic device may calculate the weight of each pixel according to a linear curve, such as y ═ - (1/r) x +1, where x is the distance of the pixel coordinate from the center of the circle, y is the weight of the pixel, and r is a specified radius. Of course, the electronic device may also use a quadratic curve, such as y ═ 1/r2)x2+1 to calculate the weight of each pixel. The primary curve and the secondary curve are only a simple example, and in fact, the electronic device may use other primary curves, secondary curves, or other curves besides the primary curve and the secondary curve to obtain the weight of the pixel, as long as the curve can conform to a gradual change strategy that the weight is smaller from the circle center to the boundary.
Since there may be an overlap between the circular area drawn based on the currently traversed case and the circular area drawn based on the previously traversed case, i.e., the two circular areas have the same pixels. Therefore, before calculating the weight of the pixel based on the circular area drawn by the pixel coordinate corresponding to the current case, the pixel may already have a weight calculated by the electronic device based on the previously drawn circular area. In this case, the electronics can sum the weight of the pixel currently acquired with the weight of the pixel previously acquired. Of course, if the weight of the pixel has not been previously acquired, then the weight summation need not be performed.
203. And determining a case concentrated area in the designated area according to the case distribution information.
For the first way of obtaining the case distribution information in the designated area in step 202, after counting the number of cases in each sub-area, the electronic device may determine, according to the number of cases in each sub-area, the sub-area whose number of cases is greater than the preset number as the case concentrated area.
For the second way of obtaining the case distribution information in the designated area in step 202, after calculating the weight of each pixel in the designated area on the map, the electronic device may determine the case concentrated area according to the weight of each pixel in the designated area, where the number of target pixels in the case concentrated area is greater than a preset threshold, and the target pixels are pixels whose weights are greater than the target weights.
It should be noted that the case concentrated region may be one, for example, in the case where the large region of the occurrence location of the case is concentrated, or the case concentrated region may be plural, for example, in the case where the small region of the occurrence location of the case is concentrated.
Optionally, in order to enable the user to visually see the case distribution situation on the map, the electronic device may further draw a case distribution diagram, and the process of drawing the case distribution diagram by the electronic device for the base map created in step 202 may include the following steps a to c:
step a, rendering each pixel in the base map according to the weight of each pixel in the designated area on the base map.
Wherein, the weight of each pixel in the designated area on the base map is the weight of each pixel in the designated area on the map in step 202.
In one possible implementation, the process of rendering, by the electronic device, each pixel in the base map may include: the electronic equipment determines each target pixel in the base map according to the weight of each pixel in the base map; determining the color of each target pixel as a target color; determining the color depth of each target pixel according to the weight of each target pixel and the preset relation between the weight and a plurality of color channels; and rendering each target pixel in the base map according to the target color and the color depth of each target pixel.
The electronic device may set a target threshold, determine each target pixel in the base map by comparing the weight of the pixel to the target threshold, and render the target pixel to a target color, such as red. After determining the pixels that need to be rendered to the target color, the electronic device may further determine the shade of color of each pixel, such that each pixel is rendered according to the target color and the shade of color of each pixel. For example, the electronic device may store preset relationships between the weights and the plurality of color channels in advance, where the preset relationships are used to determine values of the plurality of color channels according to the weights. The color channels can obtain colors with different shades by adopting different combinations of the sampling values. For example, the preset relationship may be a calculation formula, and when the calculation is performed according to different weights, different value combinations of the multiple color channels may be calculated.
The color channels may be three color channels of red (R), green (G), and blue (B) in an RGB color mode, and the value ranges of the three color channels may be 0 to 255. The RGB color scheme is a color standard in the industry, and various colors are obtained by changing three color channels of red (R), green (G) and blue (B) and superimposing the three color channels on each other, where RGB represents colors of the three channels of red, green and blue, and the color standard almost includes all colors that can be perceived by human vision, and is one of the most widely used color systems at present.
It should be noted that, the above process is only described by taking the example that the electronic device renders the pixels with weights greater than the weight threshold value in the bottom map into the target colors with different shades. In fact, the electronic device may render only the target pixel in the base map, or may render other pixels in the base map except the target pixel. For example, for a pixel with a weight less than the target threshold in the base map, the electronic device may render the partial pixel into a color other than the target color, such as blue, and further, the electronic device may render the partial pixel into blue with different shades according to different weights.
And b, adding an alpha channel in the base map, and performing transparency processing on the base map based on the alpha channel, wherein the alpha channel is used for recording the transparency of each pixel in the base map.
After rendering each pixel in the base map, the electronic device may add an alpha channel to the base map, i.e., set a corresponding transparency for each pixel in the base map, so that the base map is transparent. In computer graphics, true color graphics of RGB color model are commonly used, and in order to realize the transparency effect of graphics, another 8-bit information method is usually added, and this additional channel representing the transparency of each pixel in the graphics is called alpha channel. The alpha channel records the transparency of each pixel in the base map.
And c, overlaying the transparent base map on a map to obtain a case distribution map of the specified area.
The electronic equipment can overlay the transparentized base map on the map, and then the case distribution map of the designated area is obtained. The map may be an original map without a label, or a map superimposed with other map layers.
By drawing the case distribution map of the designated area, the area rendered into the target color in the case distribution map is the case concentrated area, so that a user can visually see the case concentrated area in the designated area, and the case concentrated area is also the case high-incidence area and needs to be mainly monitored.
204. A plurality of monitoring resources associated with the case centralized region are obtained.
In one possible implementation manner, the plurality of monitoring resources related to the case centralized area include monitoring resources whose geographic positions are located in the case centralized area, and/or monitoring resources whose geographic positions are less than a preset distance from the case centralized area, and/or monitoring resources whose monitoring ranges have an overlapping area with the case centralized area that exceeds a preset range. The monitoring resources can refer to monitoring resources in the security field, such as cameras, alarms, access monitoring resources and the like. The geographic location of the monitoring resource refers to the geographic location of the deployment site of the plurality of monitoring resources.
Specifically, the electronic device may first acquire the monitoring resource in the designated area. In one possible implementation, the electronic device may obtain the monitoring resources deployed in the specified area and the geographic locations of the respective monitoring resources from a monitoring resource database. For example, the electronic device may maintain a monitoring resource database, where the monitoring resource database is used to record all deployed monitoring resources and monitoring resource information of each monitoring resource, and the monitoring resource information may include a deployment location and a geographic location of the deployment location of the monitoring resource, and may also include a monitoring range of the monitoring resource. Of course, the monitoring resource information may also include other basic information of the monitoring resource, such as the type and model of the monitoring resource. For example, each time a monitoring resource is deployed, the administrator may record monitoring resource information of the monitoring resource into the monitoring resource database. Specifically, the electronic device may screen, according to the designated area, from all the recorded monitoring resources, each monitoring resource whose geographic location is within the designated area.
It can be understood that the monitoring resource database and the case database in step 201 may be the same database, or may be two separate databases, and the case database and the monitoring resource database may both be deployed in the electronic device, or may be deployed in other monitoring resources, and are acquired by the electronic device from the other device when needed, which is not limited in the embodiment of the present invention.
Further, for each monitoring resource deployed in a specified area, the electronic device may determine, according to the geographic position of the monitoring resource and the geographic range of the case concentrated area, whether the geographic position of the monitoring resource is within the geographic range, and/or whether the distance between the geographic position and the case concentrated area is less than a preset distance, and/or determine, according to the monitoring range of the monitoring resource and the geographic range of the case concentrated area, whether there is an overlapping area between the monitoring range of the monitoring resource and the case concentrated area, which exceeds the preset range. Wherein, the monitoring range of the monitoring resource can be a geographical range.
The geographical range of the region in the case set may include a first longitude, a second longitude, a first latitude and a second latitude, the first longitude may be the longitude of the most west position of the region in the case set, the second longitude may be the longitude of the most east position of the region in the case set, the first latitude may be the latitude of the most north position of the region in the case set, and the second latitude may be the latitude of the most south position of the region in the case set.
The geographic location of the monitoring resource may be represented by a geographic coordinate, and accordingly, the electronic device may consider the geographic location of the monitoring resource to be within the geographic scope of the case-focused region if a longitude of the geographic coordinate of the monitoring resource is between the first longitude and the second longitude and a latitude of the geographic coordinate of the monitoring resource is between the first latitude and the second latitude.
If the distance between the longitude in the geographic coordinates of the monitoring resource and the first longitude or the second longitude is less than the preset distance and the distance between the latitude and the first latitude or the second latitude is less than the preset distance, the electronic device may consider that the distance between the geographic position of the monitoring resource and the geographic range of the case concentrated area is less than the preset distance.
If there is an overlapping area between the monitoring range of the monitoring resource and the geographical range of the case concentration area, and the geographical range of the overlapping area exceeds the preset range, if the area of the overlapping area is larger than the area of the preset range, the electronic device may consider that there is an overlapping area exceeding the preset range between the monitoring range of the monitoring resource and the case concentration area. For example, the monitoring range of the monitoring resource may include a third longitude, which is a longitude at which a most west position the monitoring resource can monitor, a fourth longitude, which is a longitude at which a most east position the monitoring resource can monitor, a third latitude, which is a latitude at which a most north position the monitoring resource can monitor, and a fourth latitude, which is a latitude at which a most south position the monitoring resource can monitor. The overlapping area of the monitoring range of the monitoring resource and the geographical range of the area in the case set may be an area surrounded by two of the first longitude, the second longitude, the third longitude, and the fourth longitude and two of the first latitude, the second latitude, the third latitude, and the fourth latitude.
Optionally, the electronic device may label each monitoring resource on the map according to the geographic location of each monitoring resource. For each monitoring resource, the electronic device can find the geographical position on the map according to the geographical position of the monitoring resource, and mark the monitoring resource on the map at the geographical position by adopting a preset marking mode, so that a user can visually see the deployment condition of the monitoring resource.
The process that the electronic device displays each monitoring resource on the map can be realized based on the monitoring resource layer, for example, the electronic device can create an individual geographical layer as the monitoring resource layer, and render each monitoring resource on the monitoring resource layer according to the geographical position of each monitoring resource. By marking each monitoring resource on the map, the monitoring resource can be displayed on the map, and a user can visually see which places the monitoring resource is deployed.
205. And uniformly managing a plurality of monitoring resources related to the case centralized area.
In a possible implementation manner, the electronic device may divide the monitoring resources in the case concentration area, and/or the monitoring resources near the case concentration area, and/or the monitoring resources in the overlapping area where the monitoring range and the case concentration area have a range exceeding a preset range into a group, and then uniformly manage them. Taking right allocation in management as an example, the electronic device may allocate the set of monitoring resources to one user or multiple users at a time, so that the users may operate any of the monitoring resources. Taking the monitoring resource as a monitoring camera as an example, the user can preview, playback and the like the monitoring camera, so as to determine whether a case occurs and the specific situation of the case.
Optionally, the electronic device may dynamically allocate a target role for the group of monitoring resources, and assign a name to the group of monitoring resources, such as group 1, for distinguishing the group of monitoring resources from other monitoring resources. Further, the electronic device assigns the target role to the designated user. Through the allocation of the roles, if a new user wants to be allocated with the same authority as that of the existing user, the electronic device can directly acquire the role allocated to the existing user, so that the role is allocated to the new user, and the new user has the same operation authority as that of the existing user, namely the authority for operating the same monitoring resource.
Compared with a monitoring resource allocation mode in the related technology, the scheme optimizes the management of the monitoring resources, associates the monitoring resources related to the case centralized area by determining the case centralized area, and finally manages the monitoring resources in a unified way. On one hand, the distributed monitoring resources are all monitoring resources related to case centralized areas, and more cases can be monitored by operating the monitoring resources, so that the monitoring efficiency is improved. On the other hand, the electronic equipment automatically counts the monitoring resources to obtain the monitoring resources related to the case concentrated area, and a user does not need to manually select the monitoring resources one by one, so that the distribution efficiency of the monitoring resources is improved. On the other hand, by determining the case concentrated area, a more scientific basis can be provided for the decision of addition, deletion and change of monitoring resources, for example, the deployment of the monitoring resources is increased in the case concentrated area, the deployed part of the monitoring resources is deleted in the area where the cases have fewer occurrences, or the installation position or the monitoring angle of the deployed monitoring resources is changed, so that a better monitoring effect is provided, and the like.
According to the method provided by the embodiment of the invention, the case distribution information in the designated area is obtained according to the geographical positions of a plurality of cases occurring in the designated area, and the case distribution information can reflect the case concentration situation, so that the case concentration area in the designated area can be accurately determined according to the case distribution information.
Fig. 3 is a schematic structural diagram of a monitoring resource management apparatus according to an embodiment of the present invention. Referring to fig. 3, the apparatus includes:
an obtaining module 301, configured to obtain geographic locations of multiple cases occurring in a specified area;
the obtaining module 301 is further configured to obtain case distribution information in the designated area according to the geographic locations of the cases;
a determining module 302, configured to determine a case concentrated area in the designated area according to the case distribution information;
a management module 303, configured to perform unified management on multiple monitoring resources related to the case centralized area.
In one possible implementation manner, the plurality of monitoring resources related to the case centralized area include monitoring resources whose geographic positions are located in the case centralized area, and/or monitoring resources whose geographic positions are less than a preset distance from the case centralized area, and/or monitoring resources whose monitoring ranges have an overlapping area with the case centralized area that exceeds a preset range.
In a possible implementation manner, the geographic location is represented by geographic coordinates, and the obtaining module 301 is configured to convert the geographic coordinates of each case into pixel coordinates in the designated area on the map, where one pixel coordinate corresponds to one case or multiple cases; and acquiring the case distribution information in the specified area according to the distribution information of the pixels corresponding to each case.
In one possible implementation manner, the obtaining module 301 is configured to divide the designated area on the map into a plurality of sub-areas; counting the case number of each sub-area according to the pixel coordinate corresponding to each case, wherein for each sub-area, the case number of the sub-area is the sum of the case numbers corresponding to the pixel coordinates in the sub-area;
correspondingly, the determining module 302 is configured to determine, according to the number of cases of each sub-area, the sub-area whose number of cases is greater than the preset number as the case concentrated area.
In a possible implementation manner, the obtaining module 301 is configured to calculate, according to the pixel coordinate corresponding to each case, a weight of each pixel in the designated area on the map, where for each pixel, the weight of the pixel is a sum of a plurality of weights, each weight is determined according to a distance between the pixel and a pixel corresponding to the case, and the smaller the distance is, the greater the determined weight is;
accordingly, the determining module 302 is configured to determine the case concentrated region according to the weight of each pixel in the designated region, where the number of target pixels in the case concentrated region is greater than a preset threshold, and the target pixels are pixels with weights greater than the target weight.
In a possible implementation manner, the obtaining module 301 is configured to draw, for each case, a circular area with a specified radius by taking the pixel coordinate corresponding to the case as a center of a circle; calculating the weight of each pixel in the circular area according to the distance between each pixel in the circular area and the center of the circle, wherein the smaller the distance between the pixel and the center of the circle, the larger the weight; for each pixel within the specified region, a sum of a plurality of weights for the pixel is calculated, each weight resulting from calculating the weight for each pixel in a circular region containing the pixel.
According to the device provided by the embodiment of the invention, the case distribution information in the designated area is obtained according to the geographical positions of a plurality of cases occurring in the designated area, and the case distribution information can reflect the case concentration situation, so that the case concentration area in the designated area can be accurately determined according to the case distribution information.
It should be noted that: in the monitoring resource management apparatus provided in the foregoing embodiment, when managing the monitoring resource, only the division of each functional module is illustrated, and in practical applications, the function allocation may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules, so as to complete all or part of the functions described above. In addition, the monitoring resource management device and the monitoring resource management method provided by the above embodiments belong to the same concept, and specific implementation processes thereof are detailed in the method embodiments and are not described herein again.
Fig. 4 is a schematic structural diagram of an electronic device 400 according to an embodiment of the present invention, where the electronic device 400 may generate a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 401 and one or more memories 402, where at least one instruction is stored in the memory 402, and the at least one instruction is loaded and executed by the processor 401 to implement the methods provided by the above method embodiments. Of course, the electronic device may further have components such as a wired or wireless network interface, a keyboard, and an input/output interface, so as to perform input/output, and the electronic device may further include other components for implementing the functions of the device, which is not described herein again.
In an exemplary embodiment, a computer-readable storage medium, such as a memory, storing at least one instruction, which when executed by a processor, implements the monitoring resource management method in the above embodiments, is also provided. For example, the computer-readable storage medium may be a Read-Only Memory (ROM), a Random Access Memory (RAM), a Compact disc-Read-Only Memory (CD-ROM), a magnetic tape, a floppy disk, an optical data storage device, and the like.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only exemplary of the present invention and should not be taken as limiting the invention, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (14)
1. A method for supervisory resource management, the method comprising:
acquiring the geographical positions of a plurality of cases occurring in a designated area;
acquiring case distribution information in the designated area according to the geographical positions of the cases;
determining a case concentrated area in the designated area according to the case distribution information;
and uniformly managing a plurality of monitoring resources related to the case centralized area.
2. The method according to claim 1, wherein said plurality of monitoring resources associated with said case concentration area comprises monitoring resources whose geographical locations are located within said case concentration area, and/or monitoring resources whose geographical locations are less than a preset distance from said case concentration area, and/or monitoring resources whose monitoring ranges have an overlapping area with said case concentration area that exceeds a preset range.
3. The method according to claim 1, wherein said geographical location is represented by geographical coordinates, and said obtaining case distribution information within said designated area based on said geographical locations of said plurality of cases comprises:
converting the geographic coordinates of each case into pixel coordinates in the designated area on the map, wherein one pixel coordinate corresponds to one case or a plurality of cases;
and acquiring case distribution information in the specified area according to the distribution information of the pixels corresponding to each case.
4. The method according to claim 3, wherein said obtaining case distribution information in said designated area according to the distribution information of the pixel corresponding to each case comprises:
dividing the designated area on the map into a plurality of sub-areas;
counting the case number of each sub-area according to the pixel coordinate corresponding to each case, wherein for each sub-area, the case number of the sub-area is the sum of the case numbers corresponding to the pixel coordinates in the sub-area;
correspondingly, the determining a case concentrated area in the designated area according to the case distribution information includes:
and determining the sub-areas with the number of cases larger than the preset number as the case concentration areas according to the number of cases of each sub-area.
5. The method according to claim 3, wherein said obtaining case distribution information in said designated area according to the distribution information of the pixel corresponding to each case comprises:
calculating the weight of each pixel in the designated area on the map according to the pixel coordinate corresponding to each case, wherein for each pixel, the weight of the pixel is the sum of a plurality of weights, each weight is determined according to the distance between the pixel and the pixel corresponding to one case, and the smaller the distance, the larger the determined weight is;
correspondingly, the determining a case concentrated area in the designated area according to the case distribution information includes:
and determining the case concentration area according to the weight of each pixel in the designated area, wherein the number of target pixels in the case concentration area is greater than a preset threshold value, and the target pixels are pixels with weights greater than the target weight.
6. The method according to claim 5, wherein said calculating the weight of each pixel in the designated area on the map according to the pixel coordinate corresponding to each case comprises:
for each case, drawing a circular area with a specified radius by taking the pixel coordinate corresponding to the case as the center of a circle;
calculating the weight of each pixel in the circular area according to the distance between each pixel in the circular area and the circle center, wherein the smaller the distance between each pixel and the circle center is, the larger the weight is;
for each pixel within the specified region, calculating a sum of a plurality of weights for the pixel, each weight resulting from calculating the weight for each pixel in a circular region containing the pixel.
7. A supervisory resource management apparatus, the apparatus comprising:
the acquisition module is used for acquiring the geographic positions of a plurality of cases occurring in a specified area;
the acquisition module is further used for acquiring case distribution information in the designated area according to the geographical positions of the cases;
the determining module is used for determining a case concentrated area in the designated area according to the case distribution information;
and the management module is used for uniformly managing a plurality of monitoring resources related to the case centralized area.
8. The apparatus according to claim 7, wherein said plurality of monitoring resources associated with said case concentration area comprises monitoring resources whose geographical locations are located within said case concentration area, and/or monitoring resources whose geographical locations are less than a preset distance from said case concentration area, and/or monitoring resources whose monitoring ranges have an overlapping area with said case concentration area that exceeds a preset range.
9. The device according to claim 7, wherein the geographic location is represented by geographic coordinates, and the obtaining module is configured to convert the geographic coordinates of each case into pixel coordinates within the designated area on the map, one pixel coordinate corresponding to one case or a plurality of cases; and acquiring case distribution information in the specified area according to the distribution information of the pixels corresponding to each case.
10. The apparatus of claim 9, wherein the obtaining module is configured to divide the designated area on the map into a plurality of sub-areas; counting the case number of each sub-area according to the pixel coordinate corresponding to each case, wherein for each sub-area, the case number of the sub-area is the sum of the case numbers corresponding to the pixel coordinates in the sub-area;
correspondingly, the determining module is used for determining the sub-areas with the number of cases larger than the preset number as the case concentration areas according to the number of cases of each sub-area.
11. The apparatus according to claim 9, wherein the obtaining module is configured to calculate a weight of each pixel in the designated area on the map according to the pixel coordinate corresponding to each case, and for each pixel, the weight of the pixel is a sum of a plurality of weights, each weight is determined according to a distance between the pixel and a pixel corresponding to a case, and the smaller the distance, the larger the determined weight is;
correspondingly, the determining module is configured to determine the case concentrated region according to the weight of each pixel in the designated region, where the number of target pixels in the case concentrated region is greater than a preset threshold, and the target pixels are pixels whose weights are greater than a target weight.
12. The apparatus according to claim 11, wherein said obtaining module is configured to draw a circular area with a specified radius for each case with the pixel coordinates corresponding to the case as a center; calculating the weight of each pixel in the circular area according to the distance between each pixel in the circular area and the circle center, wherein the smaller the distance between each pixel and the circle center is, the larger the weight is; for each pixel within the specified region, calculating a sum of a plurality of weights for the pixel, each weight resulting from calculating the weight for each pixel in a circular region containing the pixel.
13. An electronic device comprising a processor and a memory; the memory is used for storing at least one instruction; the processor, configured to execute at least one instruction stored on the memory to implement the method steps of any of claims 1-6.
14. A computer-readable storage medium having stored therein at least one instruction which, when executed by a processor, implements the method steps of any of claims 1-6.
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