CN116523275A - Operation and maintenance management platform for public area monitoring equipment - Google Patents
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Abstract
The invention relates to the technical field of monitoring equipment utilization rate analysis, in particular to an operation and maintenance management platform of public area monitoring equipment, which comprises an acquisition module, a preprocessing module, an extraction module, a judgment module and a correction module. According to the invention, the area monitoring value is used as a judging reference for a single area, so that whether the area is a low monitoring area or not can be judged rapidly and accurately, and the judging speed of whether the area is a low monitoring area or not is effectively improved.
Description
Technical Field
The invention relates to the technical field of monitoring equipment utilization rate analysis, in particular to an operation and maintenance management platform for public area monitoring equipment.
Background
Along with development of science and technology and attention of people to safety, the application of the monitoring device is more and more widespread, and people can acquire a monitoring video of a designated area through the monitoring device, so that the designated area is monitored. In addition, in the field of video monitoring, the monitoring image in the monitoring video can be globally monitored through a monitoring algorithm so as to automatically identify the abnormality in the monitoring image.
The Chinese patent application with publication number of CN106341659A discloses a method for selecting key monitoring areas in a monitoring image, which comprises the steps of connecting at least three first designated points selected from the currently displayed monitoring image in sequence to form a polygonal area when the first designated points are detected; when a second designated point selected from the interior of the polygonal area is detected, determining the number of intersection points at which the connection lines between the pixel points in the monitoring image and the second designated point respectively intersect at the boundary of the polygonal area; selecting an even number of pixel points from the monitoring image, which intersect the connecting line between the second designated points at the boundary of the polygonal area; and determining an important monitoring area in the monitoring image based on the selected pixel points.
It follows that the above solution has the following problems: a targeted determination as to whether the area is a low monitored area cannot be made, resulting in low determination efficiency as to whether the area is a low monitored area.
Disclosure of Invention
Therefore, the invention provides an operation and maintenance management platform of public area monitoring equipment, which is used for solving the problem of low judging efficiency caused by the fact that the area to be judged cannot be judged in a targeted manner in the prior art.
In order to achieve the above object, the present invention provides an operation and maintenance management platform for a public area monitoring device, including:
the acquisition module is used for acquiring a plurality of image information of the area to be analyzed;
the preprocessing module is connected with the acquisition module and used for receiving and preprocessing the image information, integrating the image information to generate integrated image information and extracting edge characteristics from the integrated image information to divide the integrated image information into a plurality of areas;
the extraction module is connected with the preprocessing module and is used for receiving each region output by the preprocessing module and extracting outline features meeting preset standards from the region information respectively; the extraction module marks the contour features which are extracted from the single region information and meet the preset standard as analysis contour features;
The judging module is connected with the extracting module and is used for sequentially calculating area monitoring values of all the areas according to the quantity of the analysis outline features in the areas and the average distance of the analysis outline features in the areas, which are conveyed by the extracting module, judging whether all the areas are low monitoring areas according to the area monitoring values, and carrying out secondary judgment on whether the areas are low monitoring areas according to the area monitoring values of the surrounding areas of the areas when the single area is primarily judged to be the low monitoring areas;
the correction module is connected with the judging module and is used for periodically counting the judging result of the judging module for each area and adjusting the preset area monitoring value preset in the judging module to a corresponding value according to the number of areas which are preliminarily judged to be low monitoring areas in a single preset period by the judging module.
Further, the determination module determines a region monitor value R for the region according to the number N of analysis profile features in the single region and the average distance D of the analysis profile features, which are conveyed by the extraction module, under a first preset condition, and setsWherein S is the total area of the analysis outline features in the region, S0 is the occupied area of the region, and L is the maximum distance between two end points in the edge of the region; when d=0, set +. >The method comprises the steps of carrying out a first treatment on the surface of the The first preset condition is that the judging module calculates an area monitoring value for a single area.
Further, the judging module determines a judging mode of whether the area is a low monitoring area according to the area monitoring value of the area under a second preset condition, wherein,
the first judging mode is that the judging module judges that the area is an undeveloped area; the first judging mode meets the condition that the area monitoring value of the area is smaller than or equal to a first preset area monitoring value preset in the judging module;
the second judging mode is that the judging module judges that the area is a low monitoring area; the second judging mode meets the condition that the area monitoring value of the area is larger than the first preset area monitoring value and smaller than or equal to a second preset area monitoring value preset in the judging module, and the second preset area monitoring value is larger than the first preset area monitoring value;
the third judging mode is that the judging module preliminarily judges that the area is a low monitoring area, and detects an area monitoring value of the area around the area so as to further judge whether the area is the low monitoring area; the third judging mode meets the condition that the area monitoring value of the area is larger than the second preset area monitoring value and smaller than or equal to a third preset area monitoring value preset in the judging module, and the third preset area monitoring value is larger than the second preset area monitoring value;
The fourth judging mode is that the judging module judges that the area is a non-low monitoring area; the third judging mode meets the condition that the area monitoring value of the area is larger than the third preset area monitoring value;
and the second preset condition is that the judging module completes the calculation of the area monitoring value of the single area.
Further, the extraction module respectively acquires the geometric center points of the analysis contour features in the acquired region under a third preset condition, respectively calculates the distance between the two geometric center points to obtain the average distance D of the analysis contour features in the region, and setsWherein Di is the i-th distance in the data counted by the judging module, i=1, 2,3, & gt, M is the total number of the distance data counted by the judging module, and ∈is set>Wherein N is the number of analysis contour features in the region extracted by the extraction module; when n=1, d=0 is set;
the third preset condition is that the extraction module calculates an average distance D of each analysis outline feature in a single region.
Further, the determination module marks the area around the area as a peripheral area for the area and the area monitoring value of each peripheral area as a peripheral area monitoring value in the third determination mode, the determination module marks the peripheral area to which the peripheral area monitoring value smaller than the second preset area monitoring value belongs as a low-monitoring peripheral area, and determines a secondary determination mode for the area according to the low-monitoring peripheral area,
The first secondary judgment mode is that the judgment module secondarily judges the area as a non-low monitoring area; the first secondary judgment mode meets the condition that the ratio of the number of the low-monitoring peripheral areas to the total number of the peripheral area monitoring values for the areas is smaller than or equal to a first preset ratio preset in the judgment module;
the second secondary judgment mode is that the judgment module further judges whether the area is a low monitoring area according to the low monitoring peripheral area dispersity of each low monitoring peripheral area; the second secondary judgment mode satisfies that the ratio of the number of the low-monitoring peripheral areas to the total number of the peripheral area monitoring values for the areas is larger than the first preset ratio and smaller than or equal to a second preset ratio preset in the judgment module, wherein the second preset ratio is larger than the first preset ratio;
the third secondary judgment mode is that the judgment module secondarily judges the area as a low monitoring area; the second secondary decision means satisfies that the ratio of the number of low-monitoring peripheral areas to the total number of peripheral area monitoring values for the areas is greater than the second preset ratio.
Further, the determination module controls the extraction module to count the shortest distances between the edge of the area and the edges of the low-monitoring peripheral areas for the area under the second determination mode, and calculates an average value Ca of the shortest distances, and the determination module controls the extraction module to calculate the average value Ca of the shortest distances from the edges of the low-monitoring peripheral areas for the area Selecting two endpoints, marking the maximum value of the two endpoints as Cb, obtaining the low monitoring peripheral area dispersity Q of the low monitoring peripheral area aiming at the area according to Ca and Cb, and settingWherein E is the minimum distance between two low-monitoring peripheral regions among the low-monitoring peripheral regions for the region, a is the number of low-monitoring peripheral regions for the region, K is the total number of peripheral regions for the region, α is the distance correction coefficient, and α=0.93 m is set -1 ；
The determination module completes further determination of whether the area is a low monitored area according to the low monitored peripheral area dispersion degree Q for the area and further determines the area as the low monitored area when Q is less than or equal to the preset dispersion degree set in the determination module.
Further, the judging module selects the area with the distance smaller than the preset standard distance from the areas around the area as the peripheral area aiming at the area under the fourth preset condition, and the judging module controls the correcting module to determine the adjusting mode aiming at the preset standard distance according to the actual occupied area of the area,
the first adjusting mode is that the judging module controls the correcting module to adjust the preset standard distance to a first preset standard distance; the first adjustment mode meets the condition that the actual occupied area of the area is smaller than or equal to a first preset occupied area set by the judging module;
The second adjusting mode is that the judging module controls the correcting module to adjust the preset standard distance to a second preset standard distance, and the second preset standard distance is larger than the first preset standard distance; the second adjustment mode meets the condition that the actual occupied area of the area is larger than the first preset occupied area and smaller than or equal to the second preset occupied area set by the judging module, and the second preset occupied area is larger than the first preset occupied area;
the third adjusting mode is that the judging module controls the correcting module to adjust the preset standard distance to a third preset standard distance, and the third preset standard distance is larger than the second preset standard distance; the third adjustment mode meets the condition that the actual occupied area of the area is larger than the second preset occupied area;
and the fourth preset condition is that the judging module selects a peripheral area aiming at the area under the third judging mode.
Further, the determination module calculates a ratio of the number of areas in the integrated image information, which is secondarily determined as non-low monitoring areas, to the total number of areas in the integrated image information under a fifth preset condition, and controls a correction mode of the correction module for the second preset area monitoring value and the third preset area monitoring value according to the ratio of the number of areas,
The first correction mode is that the correction module corrects the second preset area monitoring value and the third preset area monitoring value by using a first preset correction coefficient so as to reduce the numerical intervals of the second preset area monitoring value and the third preset area monitoring value to corresponding values; the first correction mode meets the condition that the area quantity ratio is smaller than a first area quantity ratio preset in the judging module;
the second correction mode is that the correction module corrects the second preset area monitoring value and the third preset area monitoring value by using a second preset correction coefficient so as to increase the numerical intervals of the second preset area monitoring value and the third preset area monitoring value to corresponding values; the second correction mode meets the condition that the area quantity ratio is larger than a second area quantity ratio preset in the judging module, and the second area quantity ratio is larger than the first area quantity ratio;
the fifth preset condition is that the judging module completes the judgment of each region in the integrated image information.
Further, the extraction module collects the contour features in the region under a sixth preset condition, and sequentially determines the marking mode for each contour feature according to the similarity between each contour feature and the corresponding preset contour feature, wherein,
The first marking mode is that the extraction module preliminarily marks the contour features as analysis contour features and further marks the contour features according to image features in the contour features; the first marking mode meets the condition that the similarity between the profile features and at least one preset profile feature pre-stored in the extraction module is greater than or equal to the preset similarity;
a second marking mode is that the extraction module marks the contour features as non-analysis contour features; the second marking mode meets the condition that the similarity between the contour features and the preset contour features prestored in the extraction module is smaller than the preset similarity;
the sixth preset condition is that the extraction module extracts analysis contour features from a single region.
Further, the extraction module determines a secondary labeling mode for the contour feature according to the image feature in the contour feature under the first labeling mode, wherein,
the first secondary marking mode is that the extraction module marks the contour feature as analysis contour feature; the first secondary marking mode meets the condition that the image features in the profile features are the same as at least one pre-stored image feature pre-stored in the extraction module;
The second secondary marking mode is that the extraction module marks the contour features as non-analysis contour features; the first secondary marking mode meets the condition that the image features in the outline features are different from all pre-stored image features pre-stored in the extraction module.
Compared with the prior art, the method has the advantages that whether the area is a low monitoring area or not can be judged rapidly and accurately by using the area monitoring value as a judging reference for the single area, so that the judging speed of whether the area is the low monitoring area or not is effectively improved, meanwhile, when the single area is primarily judged to be the low monitoring area, the judging module judges whether the area is the low monitoring area or not according to the area monitoring value of the area surrounding the area, and the judging accuracy of whether the area is the low monitoring area or not is effectively improved while the erroneous judgment of the area is effectively avoided, so that the judging efficiency of whether the area is the low monitoring area or not is effectively improved.
Further, the judging module uses a specific formula to obtain the area monitoring value for a single area, and by combining the number of analysis contour features in the area and the distribution situation of each contour feature in the area, the accuracy of the corresponding relation between the area monitoring value for the area obtained by the judging module and the actual monitoring equipment use situation of the area can be effectively ensured.
Furthermore, the judging module of the invention can rapidly and accurately finish the rapid judgment of whether the area is a low monitoring area by using a plurality of preset area monitoring values as judging references for a single area, and further improves the judging rate of whether the area is a low monitoring area and the judging efficiency of whether the area is a low monitoring area.
Further, the judging module further determines the use condition of the monitoring equipment of the area by counting the peripheral area monitoring value of the peripheral area which is preliminarily judged to be the low monitoring area and determining the actual environment of the area according to the ratio of the number of the low monitoring peripheral areas to the number of the peripheral areas aiming at the area, and completes further judgment on whether the area is the low monitoring area, so that the judging precision of whether the area aiming at the area is the low monitoring area is further ensured, and meanwhile, the judging efficiency of whether the area aiming at the area is the low monitoring area is further improved.
Further, the judging module calculates the dispersity of the low-monitoring peripheral area aiming at the single area by using a specific formula, further judges whether the area is the low-monitoring area according to the dispersity, and can more effectively complete the accurate analysis of the actual environment where the area is positioned according to the distribution condition of the low-monitoring peripheral area around the area, thereby further improving the judging efficiency of the invention aiming at whether the area is the low-monitoring area while further ensuring the judging precision of the invention aiming at whether the area is the low-monitoring area.
Further, the invention can effectively avoid inaccurate judging results of the area caused by excessively low peripheral area as a judging standard of the peripheral area of the single area by determining the peripheral area of the single area, thereby further ensuring the judging precision of whether the area is a low monitoring area or not and further improving the judging efficiency of whether the area is a low monitoring area or not.
Further, the judging module controls the correcting module to correct the second preset area monitoring value and the third preset area monitoring value to corresponding values according to the ratio of the number of the areas which are judged to be non-low monitoring areas by the secondary judgment and the total number of the areas in the integrated image information, and the situation that the judging result is deviated caused by judging different environments by using a unified standard can be effectively avoided by carrying out targeted adjustment according to the preset area monitoring value corresponding to the ratio, so that the judging efficiency of the invention for judging whether the area is the low monitoring area is further improved while the judging precision of the invention for judging whether the area is the low monitoring area is further ensured.
Furthermore, the extraction module determines the analysis outline features in the single area by combining the outline features and the identification features, so that the judgment precision of the analysis outline features in the area can be effectively improved, the accuracy of the obtained area monitoring value for the area is ensured, and the judgment efficiency of the invention for whether the area is a low monitoring area is further improved while the judgment precision of the invention for whether the area is a low monitoring area is further ensured.
Drawings
FIG. 1 is a block diagram of a public area monitoring device operation and maintenance management platform according to the present invention;
FIG. 2 is a flow chart of the determination module of the present invention determining whether a single region is a low monitoring region;
FIG. 3 is a flowchart of a decision module for performing a secondary decision on a low-monitoring peripheral area according to the present invention.
Detailed Description
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
Fig. 1 is a block diagram of an operation and maintenance management platform for a public area monitoring device according to the present invention. The operation and maintenance management platform of the public area monitoring equipment comprises the following components:
The acquisition module is used for acquiring image information of the area to be analyzed;
the preprocessing module is connected with the acquisition module and used for receiving the acquired image information, preprocessing each image information, integrating each image information to generate integrated image information, and extracting edge characteristics from the integrated image information to divide the integrated image information into a plurality of areas;
the extraction module is connected with the preprocessing module and is used for receiving each region output by the preprocessing module and extracting outline features meeting preset standards from the region information respectively; the extraction module marks the contour features which are extracted from the single region information and meet the preset standard as analysis contour features;
the judging module is connected with the extracting module and is used for sequentially calculating area monitoring values of all the areas according to the quantity of the analysis outline features in the areas and the average distance of the analysis outline features in the areas, which are conveyed by the extracting module, judging whether all the areas are low monitoring areas according to the area monitoring values, and carrying out secondary judgment on whether the areas are low monitoring areas according to the area monitoring values of the surrounding areas of the areas when the single area is primarily judged to be the low monitoring areas;
The correction module is connected with the judging module and is used for periodically counting the judging result of the judging module for each area and adjusting the preset area monitoring value preset in the judging module to a corresponding value according to the number of areas which are preliminarily judged to be low monitoring areas in a single preset period by the judging module.
Specifically, the coverage area of the monitoring equipment in the low monitoring area is smaller, potential safety hazards exist, and the embodiment of the invention can realize reasonable configuration of the monitoring equipment by effectively determining the monitoring force in each area, effectively reasonably monitor each subarea in the target area, realize the maximum utilization of the monitoring function of the monitoring equipment, improve the monitoring force and ensure the safety in each area.
Specifically, the embodiment of the invention can quickly and accurately judge whether the area is a low monitoring area by using the area monitoring value as a judging reference for a single area, so that the judging speed of the invention for judging whether the area is the low monitoring area is effectively improved, meanwhile, when the single area is primarily judged to be the low monitoring area, the judging module further judges whether the area is the low monitoring area according to the area monitoring value of the area surrounding the area, and the judging precision of the invention for judging whether the area is the low monitoring area is effectively improved while the erroneous judgment of the area is effectively avoided, so that the judging efficiency of the invention for judging whether the area is the low monitoring area is effectively improved.
Specifically, the determination module determines a region monitor value R for the region according to the number N of analysis profile features in the single region and the average distance D of the analysis profile features, which are conveyed by the extraction module, under a first preset condition, and setsWherein S is the total area of the analysis outline features in the region, S0 is the occupied area of the region, and L is the maximum distance between two end points in the edge of the region; when d=0, set +.>；
The first preset condition is that the judging module calculates an area monitoring value for a single area.
Specifically, the embodiment of the invention uses a specific formula to calculate the area monitoring value for a single area, and by combining the number of the analysis contour features in the area and the distribution situation of each contour feature in the area, the accuracy of the corresponding relation between the area monitoring value for the area and the actual monitoring equipment use situation of the area, which is calculated by the judging module, can be effectively ensured, and the judging accuracy of whether the area is a low monitoring area or not is further improved, and the judging efficiency of whether the area is a low monitoring area or not is further improved.
Referring to fig. 2, a flowchart of the determining module according to the present invention determines whether a single area is a low monitoring area. The determination module of the invention determines a determination mode of whether the area is a low monitoring area according to the area monitoring value of the area under a second preset condition, wherein,
the first judging mode is that the judging module judges that the area is a low monitoring area; the first judging mode meets the condition that the area monitoring value of the area is smaller than or equal to a first preset area monitoring value preset in the judging module; setting the first preset area monitoring value ra=5.
The second judging mode is that the judging module judges that the area is a low monitoring area; the second judging mode meets the condition that the area monitoring value of the area is larger than the first preset area monitoring value and smaller than or equal to a second preset area monitoring value preset in the judging module, and the second preset area monitoring value is larger than the first preset area monitoring value; the second preset area monitor value rb=20 is set.
The third judging mode is that the judging module preliminarily judges that the area is a low monitoring area, and detects an area monitoring value of the area around the area so as to further judge whether the area is the low monitoring area; the third judging mode meets the condition that the area monitoring value of the area is larger than the second preset area monitoring value and smaller than or equal to a third preset area monitoring value preset in the judging module, and the third preset area monitoring value is larger than the second preset area monitoring value; setting the third preset area monitor value rc=70.
The fourth judging mode is that the judging module judges that the area is a non-low monitoring area; the third judging mode meets the condition that the area monitoring value of the area is larger than the third preset area monitoring value;
and the second preset condition is that the judging module completes the calculation of the area monitoring value of the single area.
Specifically, the embodiment of the invention can rapidly and accurately complete the rapid determination of whether the area is the low monitoring area by using a plurality of preset area monitoring values as the determination reference for the single area, and further improves the determination efficiency of whether the area is the low monitoring area while further improving the determination rate of whether the area is the low monitoring area.
Specifically, the extraction module obtains the geometric center points of the analysis contour features in the region under the third preset condition, counts the distance between the two geometric center points to obtain the average distance D of the analysis contour features in the region, and setsWherein Di is the i-th distance in the data counted by the judging module, i=1, 2,3, & gt, M is the total number of the distance data counted by the judging module, and ∈is set >Wherein N is the number of analysis contour features in the region extracted by the extraction module; when n=1, d=0 is set;
the third preset condition is that the extraction module calculates an average distance D of each analysis outline feature in a single region.
Fig. 3 is a flowchart of the determining module for performing secondary determination on the low-monitoring peripheral area according to the present invention. In the invention, the judging module marks the area around the area as the peripheral area aiming at the area and marks the area monitoring value of each peripheral area as the peripheral area monitoring value under the third judging mode, the judging module marks the peripheral area which is smaller than the peripheral area monitoring value of the second preset area monitoring value as the low-monitoring peripheral area and determines the secondary judging mode aiming at the area according to the low-monitoring peripheral area,
the first secondary judgment mode is that the judgment module secondarily judges the area as a non-low monitoring area; the first secondary judgment mode meets the condition that the ratio of the number of the low-monitoring peripheral areas to the total number of the peripheral area monitoring values aiming at the areas is smaller than or equal to a first preset ratio preset in the judgment module, and the first preset ratio is set to be 0.3;
The second secondary judgment mode is that the judgment module further judges whether the area is a low monitoring area according to the low monitoring peripheral area dispersity of each low monitoring peripheral area; the second secondary judgment mode meets the condition that the ratio of the number of the low-monitoring peripheral areas to the total number of the peripheral area monitoring values aiming at the areas is larger than the first preset ratio and smaller than or equal to a second preset ratio preset in the judgment module, the second preset ratio is larger than the first preset ratio, and the second preset ratio is set to be 0.8;
the third secondary judgment mode is that the judgment module secondarily judges the area as a low monitoring area; the second secondary decision means satisfies that the ratio of the number of low-monitoring peripheral areas to the total number of peripheral area monitoring values for the areas is greater than the second preset ratio.
Specifically, according to the embodiment of the invention, the peripheral area monitoring value of the peripheral area which is preliminarily determined as the low monitoring area is counted, and the actual environment where the area is located is determined according to the ratio of the number of the low monitoring peripheral areas to the number of the peripheral areas aiming at the area, so that the use condition of monitoring equipment of the area is further determined, and whether the area is the low monitoring area is further determined, the determination accuracy of whether the area is the low monitoring area is further ensured, and the determination efficiency of whether the area is the low monitoring area is further improved.
Specifically, the determination module controls the extraction module to count the shortest distances between the edge of the area and the edges of the low-monitoring peripheral areas for the area, respectively, and calculate the average value Ca of the shortest distances, and the determination module controls the extraction module to select two end points from the edges of the low-monitoring peripheral areas for the area, record the maximum value of the two end points as Cb, and calculate the low-monitoring peripheral area dispersity Q of the low-monitoring peripheral areas for the area according to Ca and Cb, and setWherein E is the minimum distance between two low-monitoring peripheral regions among the low-monitoring peripheral regions for the region, a is the number of low-monitoring peripheral regions for the region, K is the total number of peripheral regions for the region, α is the distance correction coefficient, and α=0.93 m is set -1 ；
The determination module completes further determination of whether the area is a low monitored area according to the low monitored peripheral area dispersion Q for the area and further determines the area as the low monitored area when Q is less than or equal to the preset dispersion set in the determination module, and sets a preset dispersion q0=0.0005.
With continued reference to fig. 1-3, the determining module selects, from the regions around the region, a corresponding number of regions having a distance smaller than a preset standard distance from the regions as a peripheral region for the region under a fourth preset condition, and the determining module controls the correcting module to determine an adjustment mode for the preset standard distance according to an actual occupied area of the region, where,
The first adjusting mode is that the judging module controls the correcting module to adjust the preset standard distance to a first preset standard distance, and the first preset standard distance is set to be 600m; the first adjustment mode satisfies that the actual occupied area of the area is smaller than or equal to the first preset occupied area set by the judging module, and the first preset occupied area is set to 2500 m 2 ；
The second adjusting mode is that the judging module controls the correcting module to adjust the preset standard distance to a second preset standard distance, the second preset standard distance is set to be 1100m, and the second preset standard distance is larger than the first preset standard distance; the second adjustment mode satisfies that the actual occupied area of the area is larger than the first preset occupied area and smaller than or equal to the second preset occupied area set by the judging module, and the second preset occupied area is 6000 m 2 The second preset floor area is larger than the first preset floor area;
the third adjusting mode is that the judging module controls the correcting module to adjust the preset standard distance to a third preset standard distance, the third preset standard distance is set to 1500m, and the third preset standard distance is larger than the second preset standard distance; the third adjustment mode meets the condition that the actual occupied area of the area is larger than the second preset occupied area;
And the fourth preset condition is that the judging module selects a peripheral area aiming at the area under the third judging mode.
Specifically, the embodiment of the invention controls the correction module to correct the second preset area monitoring value and the third preset area monitoring value to corresponding values according to the ratio of the number of the areas which are secondarily judged to be non-low monitoring areas to the total number of the areas in the integrated image information, and the situation that the judging result is deviated caused by judging different environments by using a unified standard can be effectively avoided by carrying out targeted adjustment according to the preset area monitoring value corresponding to the ratio, so that the judging precision of the invention on whether the area is a low monitoring area is further ensured, and the judging efficiency of the invention on whether the area is a low monitoring area is further improved.
Specifically, the determination module calculates a ratio of the number of areas, which are secondarily determined as non-low monitoring areas, in the integrated image information to the total number of areas in the integrated image information under a fifth preset condition, and controls a correction mode of the correction module for the second preset area monitoring value and the third preset area monitoring value according to the ratio of the number of areas,
The first correction mode is that the correction module corrects the second preset area monitoring value and the third preset area monitoring value by using a first preset correction coefficient so as to reduce the numerical intervals of the second preset area monitoring value and the third preset area monitoring value to corresponding values, and a first preset correction coefficient alpha 1 = 1.2 is set; the first correction mode meets the condition that the area quantity ratio is smaller than a first area quantity ratio preset in the judging module;
the second correction mode is that the correction module corrects the second preset area monitoring value and the third preset area monitoring value by using a second preset correction coefficient so as to increase the numerical intervals of the second preset area monitoring value and the third preset area monitoring value to a corresponding value, and the second preset correction coefficient alpha 2 = 0.9; the second correction mode meets the condition that the area quantity ratio is larger than a second area quantity ratio preset in the judging module, and the second area quantity ratio is larger than the first area quantity ratio;
the fifth preset condition is that the judging module completes the judgment of each region in the integrated image information.
Specifically, the extraction module collects the contour features in the region under a sixth preset condition, and sequentially determines the marking mode for each contour feature according to the similarity between each contour feature and the corresponding preset contour feature, wherein,
The first marking mode is that the extraction module preliminarily marks the contour features as analysis contour features and further marks the contour features according to image features in the contour features; the first marking mode meets the condition that the similarity between the profile features and at least one preset profile feature pre-stored in the extraction module is greater than or equal to the preset similarity; setting the preset similarity s0=90%;
a second marking mode is that the extraction module marks the contour features as non-analysis contour features; the second marking mode meets the condition that the similarity between the contour features and the preset contour features prestored in the extraction module is smaller than the preset similarity;
the sixth preset condition is that the extraction module extracts analysis contour features from a single region.
In particular, the extraction module determines a secondary labeling mode for the contour feature according to the image feature in the contour feature in the first labeling mode, wherein,
the first secondary marking mode is that the extraction module marks the contour feature as analysis contour feature; the first secondary marking mode meets the condition that the image features in the profile features are the same as at least one pre-stored image feature pre-stored in the extraction module;
The second secondary marking mode is that the extraction module marks the contour features as non-analysis contour features; the first secondary marking mode meets the condition that the image features in the outline features are different from all pre-stored image features pre-stored in the extraction module.
Specifically, the embodiment of the invention determines the analysis outline features in the single area by combining the outline features and the identification features, so that the determination accuracy of the analysis outline features in the area can be effectively improved, the accuracy of the obtained area monitoring value for the area is ensured, and the determination efficiency of the invention for whether the area is a low monitoring area is further improved while the determination accuracy of the invention for whether the area is a low monitoring area is further ensured.
It should be noted that, the data in this embodiment are obtained by the comprehensive analysis and evaluation of the present invention in the historical detection data and the corresponding historical detection results 206 days before the current extraction and analysis. According to 3863 cases of integrated image information detected in the previous 206 days before the current extraction and analysis, the method comprehensively determines the numerical value of each preset parameter standard in the current extraction and analysis process according to the region monitoring value of the corresponding region in each case of integrated image information and the judgment result of each region. It will be understood by those skilled in the art that the determining manner of the present invention for the parameters mentioned above may be selecting the value with the highest duty ratio as the preset standard parameter according to the data distribution, using weighted summation to take the obtained value as the preset standard parameter, substituting each history data into a specific formula, and taking the value obtained by the formula as the preset standard parameter or other selecting manner, as long as the different specific conditions in the single item determination process can be definitely defined by the obtained value are satisfied.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. A public area monitoring device operation and maintenance management platform, comprising:
the acquisition module is used for acquiring a plurality of image information of the area to be analyzed;
the preprocessing module is connected with the acquisition module and used for receiving and preprocessing the image information, integrating the image information to generate integrated image information and extracting edge characteristics from the integrated image information to divide the integrated image information into a plurality of areas;
The extraction module is connected with the preprocessing module and is used for receiving each region output by the preprocessing module and extracting outline features meeting preset standards from the region information respectively; the extraction module marks the contour features which are extracted from the single region information and meet the preset standard as analysis contour features;
the judging module is connected with the extracting module and is used for sequentially calculating area monitoring values of all the areas according to the quantity of the analysis outline features in the areas and the average distance of the analysis outline features in the areas, which are conveyed by the extracting module, judging whether all the areas are low monitoring areas according to the area monitoring values, and carrying out secondary judgment on whether the areas are low monitoring areas according to the area monitoring values of the surrounding areas of the areas when the single area is primarily judged to be the low monitoring areas;
the correction module is connected with the judging module and is used for periodically counting the judging result of the judging module for each area and adjusting the preset area monitoring value preset in the judging module to a corresponding value according to the number of areas which are preliminarily judged to be low monitoring areas in a single preset period by the judging module.
2. The operation and maintenance platform of the public area monitoring device according to claim 1, wherein the determination module determines an area monitoring value R for the area according to the number N of analysis profile features in the single area and the average distance D of the analysis profile features, which are transmitted by the extraction module, under a first preset condition, and setsWherein S is the total area of the analysis outline features in the region, S0 is the occupied area of the region, and L is the maximum distance between two end points in the edge of the region; when d=0, set +.>；
The first preset condition is that the judging module calculates an area monitoring value for a single area.
3. The operation and maintenance platform of public area monitoring equipment according to claim 2, wherein the determining module determines a determination mode for whether the area is a low monitoring area according to the area monitoring value of the area under a second preset condition, wherein,
the first judging mode is that the judging module judges that the area is a low monitoring area; the first judging mode meets the condition that the area monitoring value of the area is smaller than or equal to a first preset area monitoring value preset in the judging module;
The second judging mode is that the judging module judges that the area is a low monitoring area; the second judging mode meets the condition that the area monitoring value of the area is larger than the first preset area monitoring value and smaller than or equal to a second preset area monitoring value preset in the judging module, and the second preset area monitoring value is larger than the first preset area monitoring value;
the third judging mode is that the judging module preliminarily judges that the area is a low monitoring area, and detects an area monitoring value of the area around the area so as to further judge whether the area is the low monitoring area; the third judging mode meets the condition that the area monitoring value of the area is larger than the second preset area monitoring value and smaller than or equal to a third preset area monitoring value preset in the judging module, and the third preset area monitoring value is larger than the second preset area monitoring value;
the fourth judging mode is that the judging module judges that the area is a non-low monitoring area; the third judging mode meets the condition that the area monitoring value of the area is larger than the third preset area monitoring value;
and the second preset condition is that the judging module completes the calculation of the area monitoring value of the single area.
4. The operation and maintenance platform of the public area monitoring device according to claim 3, wherein the extraction module obtains the geometric center points of the collected analysis profile features in the area under a third preset condition, calculates the distance between the two geometric center points to obtain the average distance D of the analysis profile features in the area, and setsWhere Di is the i-th distance in the data counted by the decision module, i=1, 2,3,..Total number of distance data counted, set +.>Wherein N is the number of analysis contour features in the region extracted by the extraction module; when n=1, d=0 is set;
the third preset condition is that the extraction module calculates an average distance D of each analysis outline feature in a single region.
5. The operation and maintenance platform for a public area monitoring device according to claim 4, wherein the determination module marks an area around the area as an area around the area and marks an area monitoring value of each area around the area as an area monitoring value in the third determination mode, the determination module marks an area around the area to which an area monitoring value smaller than the second preset area monitoring value belongs as a low-monitoring area around the area, and determines a secondary determination mode for the area based on the low-monitoring area around the area,
The first secondary judgment mode is that the judgment module secondarily judges the area as a non-low monitoring area; the first secondary judgment mode meets the condition that the ratio of the number of the low-monitoring peripheral areas to the total number of the peripheral area monitoring values for the areas is smaller than or equal to a first preset ratio preset in the judgment module;
the second secondary judgment mode is that the judgment module further judges whether the area is a low monitoring area according to the low monitoring peripheral area dispersity of each low monitoring peripheral area; the second secondary judgment mode satisfies that the ratio of the number of the low-monitoring peripheral areas to the total number of the peripheral area monitoring values for the areas is larger than the first preset ratio and smaller than or equal to a second preset ratio preset in the judgment module, wherein the second preset ratio is larger than the first preset ratio;
the third secondary judgment mode is that the judgment module secondarily judges the area as a low monitoring area; the second secondary decision means satisfies that the ratio of the number of low-monitoring peripheral areas to the total number of peripheral area monitoring values for the areas is greater than the second preset ratio.
6. The operation and maintenance platform of public area monitoring equipment according to claim 5, wherein the determining module controls the extracting module to count the shortest distances between the edge of the area and the edges of the low monitoring peripheral areas for the area respectively in the second determining mode, calculates the average value Ca of the shortest distances, and the determining module controls the extracting module to select two end points from the edges of the low monitoring peripheral areas for the area, and marks the maximum value of the two end points as Cb, and obtains the low monitoring peripheral area dispersion degree Q of the low monitoring peripheral areas for the area according to Ca and Cb, and sets Wherein E is the minimum distance between two low-monitoring peripheral regions among the low-monitoring peripheral regions for the region, a is the number of low-monitoring peripheral regions for the region, K is the total number of peripheral regions for the region, α is the distance correction coefficient, and α=0.93 m is set -1 ；
The determination module completes further determination of whether the area is a low monitored area according to the low monitored peripheral area dispersion degree Q for the area and further determines the area as the low monitored area when Q is less than or equal to the preset dispersion degree set in the determination module.
7. The operation and maintenance platform of the public area monitoring device according to claim 6, wherein the determining module selects, from the areas around the area, an area with a distance smaller than a preset standard distance from the area as a peripheral area for the area under a fourth preset condition, the determining module controls the correcting module to determine an adjustment mode for the preset standard distance according to an actual occupied area of the area,
the first adjusting mode is that the judging module controls the correcting module to adjust the preset standard distance to a first preset standard distance; the first adjustment mode meets the condition that the actual occupied area of the area is smaller than or equal to a first preset occupied area set by the judging module;
The second adjusting mode is that the judging module controls the correcting module to adjust the preset standard distance to a second preset standard distance, and the second preset standard distance is larger than the first preset standard distance; the second adjustment mode meets the condition that the actual occupied area of the area is larger than the first preset occupied area and smaller than or equal to the second preset occupied area set by the judging module, and the second preset occupied area is larger than the first preset occupied area;
the third adjusting mode is that the judging module controls the correcting module to adjust the preset standard distance to a third preset standard distance, and the third preset standard distance is larger than the second preset standard distance; the third adjustment mode meets the condition that the actual occupied area of the area is larger than the second preset occupied area;
and the fourth preset condition is that the judging module selects a peripheral area aiming at the area under the third judging mode.
8. The operation and maintenance platform of the public area monitoring device according to claim 7, wherein the determining module calculates an area number ratio of the number of areas secondarily determined as non-low monitoring areas in the integrated image information to the total number of areas in the integrated image information under a fifth preset condition, and controls a correction manner of the correction module for the second preset area monitoring value and the third preset area monitoring value according to the area number ratio, wherein,
The first correction mode is that the correction module corrects the second preset area monitoring value and the third preset area monitoring value by using a first preset correction coefficient so as to reduce the numerical intervals of the second preset area monitoring value and the third preset area monitoring value to corresponding values; the first correction mode meets the condition that the area quantity ratio is smaller than a first area quantity ratio preset in the judging module;
the second correction mode is that the correction module corrects the second preset area monitoring value and the third preset area monitoring value by using a second preset correction coefficient so as to increase the numerical intervals of the second preset area monitoring value and the third preset area monitoring value to corresponding values; the second correction mode meets the condition that the area quantity ratio is larger than a second area quantity ratio preset in the judging module, and the second area quantity ratio is larger than the first area quantity ratio;
the fifth preset condition is that the judging module completes the judgment of each region in the integrated image information.
9. The operation and maintenance management platform of the public area monitoring device according to claim 8, wherein the extraction module collects the profile features in the area under a sixth preset condition, and sequentially determines the marking mode for each profile feature according to the similarity between each profile feature and the corresponding preset profile feature, wherein,
The first marking mode is that the extraction module preliminarily marks the contour features as analysis contour features and further marks the contour features according to image features in the contour features; the first marking mode meets the condition that the similarity between the profile features and at least one preset profile feature pre-stored in the extraction module is greater than or equal to the preset similarity;
a second marking mode is that the extraction module marks the contour features as non-analysis contour features; the second marking mode meets the condition that the similarity between the contour features and the preset contour features prestored in the extraction module is smaller than the preset similarity;
the sixth preset condition is that the extraction module extracts analysis contour features from a single region.
10. The public area monitoring device operation and maintenance platform of claim 9, wherein the extraction module determines a secondary labeling mode for the contour feature based on the image feature in the contour feature in the first labeling mode, wherein,
the first secondary marking mode is that the extraction module marks the contour feature as analysis contour feature; the first secondary marking mode meets the condition that the image features in the profile features are the same as at least one pre-stored image feature pre-stored in the extraction module;
The second secondary marking mode is that the extraction module marks the contour features as non-analysis contour features; the first secondary marking mode meets the condition that the image features in the outline features are different from all pre-stored image features pre-stored in the extraction module.
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| WO2014173290A1 (en) * | 2013-04-22 | 2014-10-30 | 苏州宝时得电动工具有限公司 | Automatic walking device and method for determining working area thereof |
| CN116129202A (en) * | 2023-04-20 | 2023-05-16 | 北京新兴科遥信息技术有限公司 | Method, apparatus and storage medium for stock land analysis |
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