CN117423052B - Monitoring equipment adjustment and measurement system and method based on data analysis - Google Patents
Monitoring equipment adjustment and measurement system and method based on data analysis Download PDFInfo
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Abstract
The invention relates to the technical field of monitoring equipment, in particular to a monitoring equipment adjustment and measurement system and method based on data analysis, comprising a monitoring equipment determination module to be analyzed, a dynamic area range analysis module, an abnormal response time length analysis module, an area division module, an early warning index critical value analysis module and a real-time adjustment and measurement early warning module; the monitoring equipment to be analyzed determines that the monitoring equipment of the module marking application testing system is the monitoring equipment to be analyzed; the dynamic region range analysis module divides the dynamic region range of each monitoring scene; the abnormal response time length analysis module determines the abnormal response time length corresponding to the abnormal response event; the region dividing module is used for dividing the dynamic region range into a key region and a non-key region; the early warning index critical value analysis module analyzes an early warning index critical value of the first abnormal event; the real-time adjusting and measuring early warning module is used for judging whether the early warning index critical value under the same monitoring scene is met or not and carrying out adjusting and measuring early warning on the monitoring equipment.
Description
Technical Field
The invention relates to the technical field of monitoring equipment, in particular to a monitoring equipment adjustment and measurement system and method based on data analysis.
Background
At present, the monitoring equipment is mainly applied to smart cities, and is mainly used for identifying urban illegal construction in the application of the smart cities, automatically identifying urban illegal construction and parallel alarming through an artificial intelligent algorithm, and arranging personnel to perform on-site law enforcement after a command center confirms alarming videos; the smart city also comprises illegal activities such as illegal occupation, land use, land digging and the like by utilizing the existing high-point buildings such as communication base stations distributed throughout urban and rural areas, installing a 360-degree rotating high-definition observation camera on the communication base stations or the high-point buildings, and observing illegal construction within the range of about 1-2 km around the installation point in all weather and all angles; although the monitoring device is mature enough for the development of the existing intelligent algorithm on the target capturing function, some problems still exist in the flexibility of the application scene of the device, such as the problem that the monitoring device cannot monitor timely and effectively when other orientations are abnormal in the suspicious behavior judgment process, delay omission occurs, and the operation logic executed after the suspicious behavior judgment of the monitoring device is normal logic, such as clockwise or anticlockwise rotation in turn, but the influence of long time consumption and failure in early warning when the suspicious behavior is analyzed is not considered, so that the occurrence rate of delay early warning or omission events of the monitoring device is improved, and defects are caused to the use function of the monitoring device.
Disclosure of Invention
The invention aims to provide a monitoring equipment adjusting and measuring system and method based on data analysis, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: a monitoring equipment adjusting and measuring method based on data analysis comprises the following analysis steps:
Step S100: marking monitoring equipment of an application monitoring system as monitoring equipment to be analyzed, and acquiring monitoring scenes captured and recorded by the monitoring equipment to be analyzed, wherein the monitoring scenes refer to all-visual-angle scene images formed by the monitoring equipment to be analyzed in different directions; recording dynamic instructions of monitoring equipment to be analyzed under each monitoring scene and dividing the dynamic area range of each monitoring scene;
Further, the method for dividing the dynamic area range of each monitoring scene comprises the following steps:
Step S110: acquiring rotation time A and rotation times C contained in a dynamic instruction of monitoring equipment to be analyzed in the process of acquiring a monitoring scene, marking an image picture captured by the monitoring equipment after each rotation instruction is executed as a first identification image, and generating a first identification image set for forming the monitoring scene; overlapping adjacent first identification images in the first identification image set to obtain overlapping areas S of the two adjacent first identification images;
Step S120: when the first identification image sets of the monitoring scene recorded by the same monitoring equipment to be analyzed are the same or unique, marking a monitoring area corresponding to each identification image in any first identification image set as a dynamic area range;
Step S130: when the first identification image set of the monitoring scene recorded by the same monitoring equipment to be analyzed is not unique and any two sets are different, calculating the repetition value P i of the ith first identification image set, Wherein the method comprises the steps ofRepresenting the overlapping area of the j-th first identification image in the i-th first identification image set and other first identification images in the set, and m i represents the total number of the first identification images in the i-th first identification image set, wherein j is less than or equal to m i;
selecting a first identification image set corresponding to the minimum repetition value P i as a target set, marking a monitoring area corresponding to each identification image in the target set as a dynamic area range,
Step S140: after all dynamic area ranges of the monitoring equipment to be analyzed are determined, the rotation time A 1 and the rotation times C 1 of the monitoring equipment to be analyzed in the adjacent two dynamic area ranges are correspondingly stored.
Determining the dynamic region range with the minimum repetition value can improve the operation efficiency of the monitoring device and facilitate the follow-up accuracy and effectiveness of the device adjustment and measurement.
Step S200: extracting abnormal response events recorded by corresponding monitoring equipment in each monitoring scene, wherein the abnormal response events refer to events which are not locked at the first moment when the target object appears and are successfully subjected to early warning response; acquiring conventional interval duration of monitoring equipment in different dynamic area ranges in each monitoring scene, and determining abnormal response duration corresponding to an abnormal response event based on the conventional interval duration;
Further, step S200 includes the following analysis steps:
Step S210: marking a dynamic area range in which an abnormal response event occurs as a target area range, and acquiring a dynamic area range of a monitoring device to be analyzed, which is recorded to form a primary monitoring scene before the abnormal response event is determined, as a detection area range; sequencing the detection area range according to the time sequence of capturing pictures of the monitoring equipment to be analyzed to generate a first sequence;
Step S220: the conventional interval duration L 1 refers to the stay interval duration of the adjacent dynamic area range when the monitoring equipment to be analyzed does not generate an abnormal response event in the picture capturing of the monitoring scene for a plurality of times; extracting the last investigation region range which does not belong to the conventional interval duration in the first sequence as an effective investigation range; calculating the abnormal response time length T of the first sequence corresponding to the monitoring equipment to be analyzed from the effective investigation range to the target area range,
T＝C1*A1+L1*n+L2
Wherein L 2 represents the equipment stay time of the effective investigation range record, and n represents the number of dynamic region ranges contained in the investigation region ranges after the effective investigation range is removed;
the conventional interval duration is colloquially the duration for showing the stay of the monitoring equipment in a certain dynamic area range; the selection of the interval duration is determined according to the fact that no abnormal response event is recorded in the historical data, so that the probability of occurrence of the abnormal response event when the equipment operates in different dynamic area ranges according to the conventional interval duration is lower to a certain extent;
Analyzing the effective investigation range to determine a possible impact monitoring range that causes an abnormal response event to occur;
Step S230: when the first sequence is not unique, selecting the minimum value T min of the abnormal response time lengths corresponding to all the first sequences as the abnormal response time length of the monitoring equipment to be analyzed.
Step S300: dividing the dynamic region range into a key region and a non-key region based on the abnormal response event, outputting a first abnormal event by combining a monitoring region corresponding to the starting time and a monitoring region corresponding to the ending time in the abnormal response time, and analyzing an early warning index critical value of the first abnormal event;
further, step S300 includes the following analysis steps:
step S310: obtaining the number D j of the historical abnormal response events recorded in the same monitoring period in the j-th dynamic area range corresponding to the monitoring equipment to be analyzed, calculating the abnormal frequency value Y j of the j-th dynamic area range, And calculates an average abnormal frequency value Y 0 corresponding to the monitoring equipment to be analyzed, Marking a dynamic region range corresponding to Y j≥Y0 as a key region, and marking a dynamic region range corresponding to Y j<Y0 as a non-key region;
step S320: acquiring an effective investigation range and a target area range of an abnormal response event record, and marking the abnormal response event of which the effective investigation range belongs to a non-key area and the target area range belongs to a key area as a first abnormal event; acquiring a target early warning picture of a normal response event recorded by monitoring equipment to be analyzed under the same monitoring scene, wherein the target early warning picture refers to a monitoring picture which needs to be captured by the monitoring equipment to be analyzed when the monitoring equipment to be analyzed transmits an early warning signal; using the formula:
X＝β1*(1-F)+β2*T0
Calculating a response index X of the first abnormal event, wherein F represents the maximum value of the similarity between the target early warning picture and the capture monitoring picture of the non-key area in the first abnormal event; t 0 represents a value after normalization of the corresponding abnormal response time of the monitoring equipment to be analyzed; beta 1、β2 represents the corresponding reference coefficient, which is set by the system;
Step S330: and acquiring response indexes X of the same monitoring scene corresponding to the monitoring equipment to be analyzed for recording all first abnormal events, and selecting a minimum value X min of the response indexes X as an early warning index critical value.
The analysis response index is to determine quantitative data that abnormality in the key area fails to mark early warning or missing situation after the monitoring equipment rotates to the non-key area, so that decision selectivity of the monitoring equipment under abnormal monitoring can be effectively improved, the situation of delayed marking or missing marking is avoided, and the installation purpose and the use effectiveness of the monitoring equipment are reduced.
Step S400: when the monitoring equipment captures that the monitoring image is positioned in a non-key area and the real-time stay time length is larger than or equal to the conventional interval time length, triggering an analysis signal to judge whether the pre-warning index critical value in the same monitoring scene is met or not, and carrying out monitoring equipment adjustment pre-warning according to a judging result.
Further, step S400 includes the steps of:
Acquiring a real-time abnormal response time length T 0,T0＝A1*Cmin+L1*(Cmin-1)+L3,Cmin after triggering an analysis signal, wherein the minimum rotation number required by the monitoring equipment to be analyzed to turn to a key area in real time is represented by L 3, and the time interval from the start of capturing a monitoring image to the calculation of the abnormal response time length of the monitoring equipment to be analyzed to the corresponding analysis time;
When the monitoring equipment to be analyzed triggers an analysis signal in a non-key area and before early warning response is not performed, calculating a real-time abnormal response time length T 0 and a real-time response index X 0 according to the unit time length of the adjacent interval;
When X 0≥Xmin exists, transmitting a regulating and measuring early warning signal, wherein the regulating and measuring early warning means that the direction adjustment reminding is carried out on the dynamic area range corresponding to the prescription direction of the monitoring equipment to be analyzed in real time, and the reminding direction is the key area corresponding to the monitoring equipment to be analyzed; when the X 0≥Xmin does not exist, the modulation early warning signal is not transmitted.
According to the invention, through refining and measuring the behavior data of the monitoring equipment, the possibility of delay marks and missing marks of the monitoring equipment on the original operation logic is reduced, and the scene application of the monitoring equipment is improved.
The monitoring equipment adjusting and measuring system comprises a monitoring equipment determining module to be analyzed, a dynamic area range analyzing module, an abnormal response time length analyzing module, an area dividing module, an early warning index critical value analyzing module and a real-time adjusting and measuring early warning module;
the monitoring equipment to be analyzed determining module is used for marking the monitoring equipment of the application monitoring system as the monitoring equipment to be analyzed;
The dynamic region range analysis module is used for acquiring the monitoring scenes captured and recorded by the monitoring equipment to be analyzed, recording the dynamic instructions of the monitoring equipment to be analyzed under each monitoring scene and dividing the dynamic region range of each monitoring scene;
The abnormal response time length analysis module is used for extracting abnormal response events recorded by the corresponding monitoring equipment in each monitoring scene and determining abnormal response time length corresponding to the abnormal response events based on the conventional interval time length;
the region dividing module is used for dividing the dynamic region range into a key region and a non-key region;
The early warning index critical value analysis module is used for analyzing an early warning index critical value of the first abnormal event;
And the real-time adjusting and measuring early warning module is used for triggering the analysis signal to judge whether the early warning index critical value in the same monitoring scene is met or not when the monitoring equipment captures that the monitoring image is positioned in the non-key area and the real-time stay time length is longer than or equal to the conventional interval time length, and carrying out the adjusting and measuring early warning of the monitoring equipment according to the judging result.
Further, the dynamic region range analysis module comprises a first identification image set construction unit, an overlapping area analysis unit and a dynamic region range division unit;
The first identification image set construction unit is used for acquiring the rotation time and rotation times contained in the dynamic instructions of the monitoring equipment to be analyzed in the process of acquiring the monitoring scene, marking the image picture captured by the monitoring equipment after each rotation instruction is executed as a first identification image, and generating a first identification image set for forming the monitoring scene;
the overlapping area analysis unit is used for carrying out image overlapping on adjacent first identification images in the first identification image set to obtain overlapping areas of two adjacent first identification images;
The dynamic region range dividing unit is used for selecting a first identification image set corresponding to the smallest repetition value as a target set based on the number of sets and the overlapping area analysis, marking a monitoring region corresponding to each identification image in the target set as a dynamic region range, and correspondingly storing the rotation time and the rotation times of the monitoring equipment to be analyzed in the two adjacent dynamic region ranges.
Further, the abnormal response time length analysis module comprises a region range marking unit, a first sequence generating unit and an abnormal response time length calculating unit;
the regional scope marking unit is used for marking the dynamic regional scope of the occurrence of the abnormal response event as a target regional scope, and acquiring the dynamic regional scope of the monitoring equipment to be analyzed, which is recorded to form a primary monitoring scene before the abnormal response event is determined, as a investigation regional scope;
The first sequence generating unit is used for sequencing the detection area range according to the time sequence of the capturing pictures of the monitoring equipment to be analyzed to generate a first sequence;
the abnormal response time length calculation unit is used for calculating the abnormal response time length of the monitoring equipment to be analyzed, which corresponds to the first sequence, from the effective investigation range to the target area range, and when the first sequence is not unique, the minimum value of all the abnormal response time lengths corresponding to the first sequence is selected as the abnormal response time length of the monitoring equipment to be analyzed.
Further, the early warning index critical value analysis module comprises a response index calculation unit and an early warning index critical value calculation unit;
The response index calculation unit is used for obtaining a target early warning picture of a normal response event recorded by monitoring equipment to be analyzed in the same monitoring scene, comparing the similarity of the target early warning picture and a monitoring picture captured by a non-key area in a first abnormal event to obtain a maximum value, and calculating a response index by combining the abnormal response time length;
The early warning index critical value calculation unit is used for obtaining response indexes of the same monitoring scene corresponding to all first abnormal events recorded by the monitoring equipment to be analyzed, and selecting the minimum value of the response indexes as an early warning index critical value.
Compared with the prior art, the invention has the following beneficial effects: the invention lays the foundation of controllable instructions of each monitoring device by analyzing the minimum dynamic area range of different monitoring scenes where different monitoring devices are positioned; secondly, analyzing an abnormal response event which affects the recording delay or omission of the monitoring equipment, establishing the relevance between a time factor and an image factor in the event, and taking the influence critical value of the system early warning into consideration; the flexibility of the monitoring equipment on an application scene is improved, namely, the monitoring equipment can timely and effectively monitor when other orientations are abnormal in the suspicious behavior judgment process, the event frequency of delayed omission is reduced, intelligent logic judgment is performed after the suspicious behavior judgment is performed by the monitoring equipment, the possibility that the delayed mark and the omission mark appear on the original operation logic of the monitoring equipment is reduced, and the scene application of the monitoring equipment is improved; and reminding the monitoring equipment after the non-key area meets the time early warning, so as to prevent the influence caused by overtime monitoring.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
Fig. 1 is a schematic structural diagram of a monitoring device adjustment and measurement system based on data analysis according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides the following technical solutions: a monitoring equipment adjusting and measuring method based on data analysis comprises the following analysis steps:
Step S100: marking monitoring equipment of an application monitoring system as monitoring equipment to be analyzed, and acquiring monitoring scenes captured and recorded by the monitoring equipment to be analyzed, wherein the monitoring scenes refer to all-visual-angle scene images formed by the monitoring equipment to be analyzed in different directions; recording dynamic instructions of monitoring equipment to be analyzed under each monitoring scene and dividing the dynamic area range of each monitoring scene;
Further, the method for dividing the dynamic area range of each monitoring scene comprises the following steps:
Step S110: acquiring rotation time A and rotation times C contained in a dynamic instruction of monitoring equipment to be analyzed in the process of acquiring a monitoring scene, marking an image picture captured by the monitoring equipment after each rotation instruction is executed as a first identification image, and generating a first identification image set for forming the monitoring scene; overlapping adjacent first identification images in the first identification image set to obtain overlapping areas S of the two adjacent first identification images;
Step S120: when the first identification image sets of the monitoring scene recorded by the same monitoring equipment to be analyzed are the same or unique, marking a monitoring area corresponding to each identification image in any first identification image set as a dynamic area range;
Step S130: when the first identification image set of the monitoring scene recorded by the same monitoring equipment to be analyzed is not unique and any two sets are different, calculating the repetition value P i of the ith first identification image set, Wherein the method comprises the steps ofRepresenting the overlapping area of the j-th first identification image in the i-th first identification image set and other first identification images in the set, and m i represents the total number of the first identification images in the i-th first identification image set, wherein j is less than or equal to m i;
selecting a first identification image set corresponding to the minimum repetition value P i as a target set, marking a monitoring area corresponding to each identification image in the target set as a dynamic area range,
Step S140: after all dynamic area ranges of the monitoring equipment to be analyzed are determined, the rotation time A 1 and the rotation times C 1 of the monitoring equipment to be analyzed in the adjacent two dynamic area ranges are correspondingly stored.
Determining the dynamic region range with the minimum repetition value can improve the operation efficiency of the monitoring device and facilitate the follow-up accuracy and effectiveness of the device adjustment and measurement.
Step S200: extracting abnormal response events recorded by corresponding monitoring equipment in each monitoring scene, wherein the abnormal response events refer to events which are not locked at the first moment when the target object appears and are successfully subjected to early warning response; acquiring conventional interval duration of monitoring equipment in different dynamic area ranges in each monitoring scene, and determining abnormal response duration corresponding to an abnormal response event based on the conventional interval duration;
Further, step S200 includes the following analysis steps:
Step S210: marking a dynamic area range in which an abnormal response event occurs as a target area range, and acquiring a dynamic area range of a monitoring device to be analyzed, which is recorded to form a primary monitoring scene before the abnormal response event is determined, as a detection area range; sequencing the detection area range according to the time sequence of capturing pictures of the monitoring equipment to be analyzed to generate a first sequence;
Step S220: the conventional interval duration L 1 refers to the stay interval duration of the adjacent dynamic area range when the monitoring equipment to be analyzed does not generate an abnormal response event in the picture capturing of the monitoring scene for a plurality of times; extracting the last investigation region range which does not belong to the conventional interval duration in the first sequence as an effective investigation range; calculating the abnormal response time length T of the first sequence corresponding to the monitoring equipment to be analyzed from the effective investigation range to the target area range,
T＝C1*A1+L1*n+L2
Wherein L 2 represents the equipment stay time of the effective investigation range record, and n represents the number of dynamic region ranges contained in the investigation region ranges after the effective investigation range is removed;
the conventional interval duration is colloquially the duration for showing the stay of the monitoring equipment in a certain dynamic area range; the selection of the interval duration is determined according to the fact that no abnormal response event is recorded in the historical data, so that the probability of occurrence of the abnormal response event when the equipment operates in different dynamic area ranges according to the conventional interval duration is lower to a certain extent;
Analyzing the effective investigation range to determine a possible impact monitoring range that causes an abnormal response event to occur;
Step S230: when the first sequence is not unique, selecting the minimum value T min of the abnormal response time lengths corresponding to all the first sequences as the abnormal response time length of the monitoring equipment to be analyzed.
Step S300: dividing the dynamic region range into a key region and a non-key region based on the abnormal response event, outputting a first abnormal event by combining a monitoring region corresponding to the starting time and a monitoring region corresponding to the ending time in the abnormal response time, and analyzing an early warning index critical value of the first abnormal event;
Step S300 includes the following analysis steps:
step S310: obtaining the number D j of the historical abnormal response events recorded in the same monitoring period in the j-th dynamic area range corresponding to the monitoring equipment to be analyzed, calculating the abnormal frequency value Y j of the j-th dynamic area range, A few rotations means that there are several dynamic area ranges; and calculates an average abnormal frequency value Y 0 corresponding to the monitoring equipment to be analyzed,Marking a dynamic region range corresponding to Y j≥Y0 as a key region, and marking a dynamic region range corresponding to Y j<Y0 as a non-key region;
step S320: acquiring an effective investigation range and a target area range of an abnormal response event record, and marking the abnormal response event of which the effective investigation range belongs to a non-key area and the target area range belongs to a key area as a first abnormal event; acquiring a target early warning picture of a normal response event recorded by monitoring equipment to be analyzed under the same monitoring scene, wherein the target early warning picture refers to a monitoring picture which needs to be captured by the monitoring equipment to be analyzed when the monitoring equipment to be analyzed transmits an early warning signal; if the monitoring equipment captures illegal construction behaviors, capturing pictures when someone builds the illegal construction behaviors, and obtaining target early warning pictures; using the formula:
X＝β1*(1-F)+β2*T0
Calculating a response index X of the first abnormal event, wherein F represents the maximum value of the similarity between the target early warning picture and the capture monitoring picture of the non-key area in the first abnormal event; t 0 represents a value after normalization of the corresponding abnormal response time of the monitoring equipment to be analyzed; beta 1、β2 represents the corresponding reference coefficient, which is set by the system;
Step S330: and acquiring response indexes X of the same monitoring scene corresponding to the monitoring equipment to be analyzed for recording all first abnormal events, and selecting a minimum value X min of the response indexes X as an early warning index critical value.
The analysis response index is to determine quantitative data that abnormality in the key area fails to mark early warning or missing situation after the monitoring equipment rotates to the non-key area, so that decision selectivity of the monitoring equipment under abnormal monitoring can be effectively improved, the situation of delayed marking or missing marking is avoided, and the installation purpose and the use effectiveness of the monitoring equipment are reduced.
Step S400: when the monitoring equipment captures that the monitoring image is positioned in a non-key area and the real-time stay time length is larger than or equal to the conventional interval time length, triggering an analysis signal to judge whether the pre-warning index critical value in the same monitoring scene is met or not, and carrying out monitoring equipment adjustment pre-warning according to a judging result.
Step S400 includes the steps of:
Acquiring a real-time abnormal response time length T 0,T0＝A1*Cmin+L1*(Cmin-1)+L3,Cmin after triggering an analysis signal, wherein the minimum rotation number required by the monitoring equipment to be analyzed to turn to a key area in real time is represented by L 3, and the time interval from the start of capturing a monitoring image to the calculation of the abnormal response time length of the monitoring equipment to be analyzed to the corresponding analysis time;
When the monitoring equipment to be analyzed triggers an analysis signal in a non-key area and before early warning response is not performed, calculating a real-time abnormal response time length T 0 and a real-time response index X 0 according to the unit time length of the adjacent interval;
When X 0≥Xmin exists, transmitting a regulating and measuring early warning signal, wherein the regulating and measuring early warning means that the direction adjustment reminding is carried out on the dynamic area range corresponding to the prescription direction of the monitoring equipment to be analyzed in real time, and the reminding direction is the key area corresponding to the monitoring equipment to be analyzed; when the X 0≥Xmin does not exist, the modulation early warning signal is not transmitted.
As shown in the examples:
the monitoring scene recorded by the monitoring equipment a is a farmland, and the monitoring and early warning purpose is to mark illegal land occupation behaviors;
obtaining illegal land occupation behavior image data recorded during normal early warning to form an image set;
when suspicious behaviors occur in non-key areas and the system marks but does not make a decision, the suspicious behaviors can be compared with the image set;
the similarity is analyzed, and the higher the similarity is, the more likely the illegal occupation behavior needing early warning is explained; the lower the similarity is, the misleading behavior is probably that the early warning is not needed, but a great amount of time is consumed for monitoring at the moment, the real-time moment is recorded to obtain a response index for real-time analysis, the early warning is carried out when the response index is exceeded, the risk that the abnormal response event occurs in the key area due to the operation of the monitoring equipment at the moment is determined, and the early warning is carried out to remind the monitoring equipment to turn to the key area.
According to the invention, through refining and measuring the behavior data of the monitoring equipment, the possibility of delay marks and missing marks of the monitoring equipment on the original operation logic is reduced, and the scene application of the monitoring equipment is improved.
When the monitoring equipment monitors suspicious events in the non-key area and returns to the key area, the early warning event actually occurs in another non-key area, and the application does not consider the situation because the frequency of the occurrence of the early warning event in the key area is highest, so that the monitoring equipment can monitor the key area in time each time, and the timeliness or timeliness of monitoring can be improved to the greatest extent.
The monitoring equipment adjusting and measuring system comprises a monitoring equipment determining module to be analyzed, a dynamic area range analyzing module, an abnormal response time length analyzing module, an area dividing module, an early warning index critical value analyzing module and a real-time adjusting and measuring early warning module;
the monitoring equipment to be analyzed determining module is used for marking the monitoring equipment of the application monitoring system as the monitoring equipment to be analyzed;
The dynamic region range analysis module is used for acquiring the monitoring scenes captured and recorded by the monitoring equipment to be analyzed, recording the dynamic instructions of the monitoring equipment to be analyzed under each monitoring scene and dividing the dynamic region range of each monitoring scene;
The abnormal response time length analysis module is used for extracting abnormal response events recorded by the corresponding monitoring equipment in each monitoring scene and determining abnormal response time length corresponding to the abnormal response events based on the conventional interval time length;
the region dividing module is used for dividing the dynamic region range into a key region and a non-key region;
The early warning index critical value analysis module is used for analyzing an early warning index critical value of the first abnormal event;
And the real-time adjusting and measuring early warning module is used for triggering the analysis signal to judge whether the early warning index critical value in the same monitoring scene is met or not when the monitoring equipment captures that the monitoring image is positioned in the non-key area and the real-time stay time length is longer than or equal to the conventional interval time length, and carrying out the adjusting and measuring early warning of the monitoring equipment according to the judging result.
The dynamic region range analysis module comprises a first identification image set construction unit, an overlapping area analysis unit and a dynamic region range division unit;
The first identification image set construction unit is used for acquiring the rotation time and rotation times contained in the dynamic instructions of the monitoring equipment to be analyzed in the process of acquiring the monitoring scene, marking the image picture captured by the monitoring equipment after each rotation instruction is executed as a first identification image, and generating a first identification image set for forming the monitoring scene;
the overlapping area analysis unit is used for carrying out image overlapping on adjacent first identification images in the first identification image set to obtain overlapping areas of two adjacent first identification images;
The dynamic region range dividing unit is used for selecting a first identification image set corresponding to the smallest repetition value as a target set based on the number of sets and the overlapping area analysis, marking a monitoring region corresponding to each identification image in the target set as a dynamic region range, and correspondingly storing the rotation time and the rotation times of the monitoring equipment to be analyzed in the two adjacent dynamic region ranges.
The abnormal response time length analysis module comprises a region range marking unit, a first sequence generating unit and an abnormal response time length calculating unit;
the regional scope marking unit is used for marking the dynamic regional scope of the occurrence of the abnormal response event as a target regional scope, and acquiring the dynamic regional scope of the monitoring equipment to be analyzed, which is recorded to form a primary monitoring scene before the abnormal response event is determined, as a investigation regional scope;
The first sequence generating unit is used for sequencing the detection area range according to the time sequence of the capturing pictures of the monitoring equipment to be analyzed to generate a first sequence;
the abnormal response time length calculation unit is used for calculating the abnormal response time length of the monitoring equipment to be analyzed, which corresponds to the first sequence, from the effective investigation range to the target area range, and when the first sequence is not unique, the minimum value of all the abnormal response time lengths corresponding to the first sequence is selected as the abnormal response time length of the monitoring equipment to be analyzed.
The early warning index critical value analysis module comprises a response index calculation unit and an early warning index critical value calculation unit;
The response index calculation unit is used for obtaining a target early warning picture of a normal response event recorded by monitoring equipment to be analyzed in the same monitoring scene, comparing the similarity of the target early warning picture and a monitoring picture captured by a non-key area in a first abnormal event to obtain a maximum value, and calculating a response index by combining the abnormal response time length;
The early warning index critical value calculation unit is used for obtaining response indexes of the same monitoring scene corresponding to all first abnormal events recorded by the monitoring equipment to be analyzed, and selecting the minimum value of the response indexes as an early warning index critical value.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. 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 (7)
1. The monitoring equipment adjusting and measuring method based on data analysis is characterized by comprising the following analysis steps:
Step S100: marking monitoring equipment of an application monitoring system as monitoring equipment to be analyzed, and acquiring a monitoring scene captured and recorded by the monitoring equipment to be analyzed, wherein the monitoring scene refers to an all-visual-angle scene image formed by the monitoring equipment to be analyzed in different directions; recording dynamic instructions of monitoring equipment to be analyzed under each monitoring scene and dividing the dynamic area range of each monitoring scene;
The dividing the dynamic area range of each monitoring scene comprises the following steps:
Step S110: acquiring rotation time A and rotation times C contained in a dynamic instruction of monitoring equipment to be analyzed in the process of acquiring a monitoring scene, marking an image picture captured by the monitoring equipment after each rotation instruction is executed as a first identification image, and generating a first identification image set for forming the monitoring scene; overlapping adjacent first identification images in the first identification image set to obtain overlapping areas S of the two adjacent first identification images;
Step S120: when the first identification image sets of the monitoring scene recorded by the same monitoring equipment to be analyzed are the same or unique, marking a monitoring area corresponding to each identification image in any first identification image set as a dynamic area range;
Step S130: when the first identification image set of the monitoring scene recorded by the same monitoring equipment to be analyzed is not unique and any two sets are different, calculating the repetition value P i of the ith first identification image set, Wherein the method comprises the steps ofRepresenting the overlapping area of the j-th first identification image in the i-th first identification image set and other first identification images in the set, and m i represents the total number of the first identification images in the i-th first identification image set, wherein j is less than or equal to m i;
selecting a first identification image set corresponding to the minimum repetition value P i as a target set, marking a monitoring area corresponding to each identification image in the target set as a dynamic area range,
Step S140: after all dynamic area ranges of the monitoring equipment to be analyzed are determined, correspondingly storing rotation time A 1 and rotation times C 1 of the monitoring equipment to be analyzed in the adjacent two dynamic area ranges;
Step S200: extracting abnormal response events recorded by corresponding monitoring equipment in each monitoring scene, wherein the abnormal response events refer to events which are not locked at the first moment of occurrence of a target object and are successfully subjected to early warning response; acquiring conventional interval duration of monitoring equipment in different dynamic area ranges in each monitoring scene, and determining abnormal response duration corresponding to an abnormal response event based on the conventional interval duration;
Step S300: dividing the dynamic region range into a key region and a non-key region based on the abnormal response event, outputting a first abnormal event by combining a monitoring region corresponding to the starting time and a monitoring region corresponding to the ending time in the abnormal response time, and analyzing an early warning index critical value of the first abnormal event;
the step S300 includes the following analysis steps:
step S310: obtaining the number D j of the historical abnormal response events recorded in the same monitoring period in the j-th dynamic area range corresponding to the monitoring equipment to be analyzed, calculating the abnormal frequency value Y j of the j-th dynamic area range, And calculates an average abnormal frequency value Y 0 corresponding to the monitoring equipment to be analyzed, Marking a dynamic region range corresponding to Y j≥Y0 as a key region, and marking a dynamic region range corresponding to Y j<Y0 as a non-key region;
Step S320: acquiring an effective investigation range and a target area range of an abnormal response event record, and marking the abnormal response event of which the effective investigation range belongs to a non-key area and the target area range belongs to a key area as a first abnormal event; acquiring a target early warning picture of a normal response event recorded by monitoring equipment to be analyzed under the same monitoring scene, wherein the target early warning picture refers to a monitoring picture which needs to be captured by the monitoring equipment to be analyzed when the monitoring equipment to be analyzed transmits an early warning signal; using the formula:
X＝β1*(1-F)+β2*T0
Calculating a response index X of the first abnormal event, wherein F represents the maximum value of the similarity between the target early warning picture and the capture monitoring picture of the non-key area in the first abnormal event; t 0 represents a value after normalization of the corresponding abnormal response time of the monitoring equipment to be analyzed; beta 1、β2 represents the corresponding reference coefficient, which is set by the system;
Step S330: acquiring response indexes X of the same monitoring scene corresponding to the monitoring equipment to be analyzed for recording all first abnormal events, and selecting a minimum value X min of the response indexes X as an early warning index critical value;
Step S400: when the monitoring equipment captures that the monitoring image is positioned in a non-key area and the real-time stay time length is larger than or equal to the conventional interval time length, triggering an analysis signal to judge whether the pre-warning index critical value in the same monitoring scene is met or not, and carrying out monitoring equipment adjustment pre-warning according to a judging result.
2. The monitoring device tuning method based on data analysis according to claim 1, wherein: the step S200 includes the following analysis steps:
Step S210: marking a dynamic area range in which an abnormal response event occurs as a target area range, and acquiring a dynamic area range of a monitoring device to be analyzed, which is recorded to form a primary monitoring scene before the abnormal response event is determined, as a detection area range; sequencing the detection area range according to the time sequence of capturing pictures of the monitoring equipment to be analyzed to generate a first sequence;
Step S220: the regular interval duration L 1 refers to the stay interval duration of the adjacent dynamic area range when the monitoring equipment to be analyzed does not generate an abnormal response event in the picture capturing of the monitoring scene for a plurality of times; extracting the last investigation region range which does not belong to the conventional interval duration in the first sequence as an effective investigation range; calculating the abnormal response time length T of the first sequence corresponding to the monitoring equipment to be analyzed from the effective investigation range to the target area range,
T＝C1*A1+L1*n+L2
Wherein L 2 represents the equipment stay time of the effective investigation range record, and n represents the number of dynamic region ranges contained in the investigation region ranges after the effective investigation range is removed;
Step S230: when the first sequence is not unique, selecting the minimum value T min of the abnormal response time lengths corresponding to all the first sequences as the abnormal response time length of the monitoring equipment to be analyzed.
3. The monitoring device tuning method based on data analysis according to claim 2, wherein: the step S400 includes the steps of:
Acquiring a real-time abnormal response time length T 0,T0＝A1*Cmin+L1*(Cmin-1)+L3,Cmin after triggering an analysis signal, wherein the minimum rotation number required by the monitoring equipment to be analyzed to turn to a key area in real time is represented by L 3, and the time interval from the start of capturing a monitoring image to the calculation of the abnormal response time length of the monitoring equipment to be analyzed to the corresponding analysis time;
When the monitoring equipment to be analyzed triggers an analysis signal in a non-key area and before early warning response is not performed, calculating a real-time abnormal response time length T 0 and a real-time response index X 0 according to the unit time length of the adjacent interval;
when X 0≥Xmin exists, transmitting a measurement adjusting early warning signal, wherein the measurement adjusting early warning means that direction adjustment reminding is carried out on a dynamic area range corresponding to the prescription direction of the real-time monitoring equipment to be analyzed, and the reminding direction is a key area corresponding to the monitoring equipment to be analyzed; when the X 0≥Xmin does not exist, the modulation early warning signal is not transmitted.
4. A monitoring device adjusting and measuring system applying the monitoring device adjusting and measuring method based on data analysis according to any one of claims 1-3, which is characterized by comprising a monitoring device determining module to be analyzed, a dynamic area range analyzing module, an abnormal response time length analyzing module, an area dividing module, an early warning index critical value analyzing module and a real-time adjusting and measuring early warning module;
The monitoring equipment to be analyzed determining module is used for marking the monitoring equipment of the application regulating and measuring system as the monitoring equipment to be analyzed;
The dynamic region range analysis module is used for acquiring monitoring scenes captured and recorded by the monitoring equipment to be analyzed, recording dynamic instructions of the monitoring equipment to be analyzed under each monitoring scene and dividing the dynamic region range of each monitoring scene;
The abnormal response time length analysis module is used for extracting abnormal response events recorded by the corresponding monitoring equipment in each monitoring scene and determining abnormal response time length corresponding to the abnormal response events based on the conventional interval time length;
the region dividing module is used for dividing the dynamic region range into a key region and a non-key region;
The early warning index critical value analysis module is used for analyzing an early warning index critical value of the first abnormal event;
And the real-time adjusting and measuring early warning module is used for triggering the analysis signal to judge whether the early warning index critical value in the same monitoring scene is met or not when the monitoring equipment captures that the monitoring image is positioned in a non-key area and the real-time stay time length is longer than or equal to the conventional interval time length, and carrying out adjusting and measuring early warning on the monitoring equipment according to the judging result.
5. The monitoring device tuning system of claim 4, wherein: the dynamic region range analysis module comprises a first identification image set construction unit, an overlapping area analysis unit and a dynamic region range division unit;
The first identification image set construction unit is used for acquiring the rotation time and rotation times contained in the dynamic instructions of the monitoring equipment to be analyzed in the process of acquiring the monitoring scene, marking the image picture captured by the monitoring equipment after each rotation instruction is executed as a first identification image, and generating a first identification image set for forming the monitoring scene;
The overlapping area analysis unit is used for carrying out image overlapping on adjacent first identification images in the first identification image set to obtain overlapping areas of two adjacent first identification images;
The dynamic region range dividing unit is used for selecting a first identification image set corresponding to the smallest repetition value as a target set based on the number of sets and the overlapping area analysis, marking a monitoring region corresponding to each identification image in the target set as a dynamic region range, and correspondingly storing the rotation time and the rotation times of the monitoring equipment to be analyzed in two adjacent dynamic region ranges.
6. The monitoring device tuning system of claim 5, wherein: the abnormal response time length analysis module comprises a region range marking unit, a first sequence generating unit and an abnormal response time length calculating unit;
the regional scope marking unit is used for marking the dynamic regional scope of the occurrence of the abnormal response event as a target regional scope, and acquiring the dynamic regional scope of the monitoring equipment to be analyzed, which is recorded to form a primary monitoring scene before the abnormal response event is determined, as a detection regional scope;
The first sequence generation unit is used for sequencing the detection area range according to the time sequence of the capturing pictures of the monitoring equipment to be analyzed to generate a first sequence;
The abnormal response time length calculation unit is used for calculating the abnormal response time length of the monitoring equipment to be analyzed, which corresponds to the first sequence, from the effective investigation range to the target area range, and selecting the minimum value of all the abnormal response time lengths corresponding to the first sequence as the abnormal response time length of the monitoring equipment to be analyzed when the first sequence is not unique.
7. The monitoring device tuning system of claim 6, wherein: the early warning index critical value analysis module comprises a response index calculation unit and an early warning index critical value calculation unit;
The response index calculation unit is used for obtaining a target early warning picture of a normal response event recorded by monitoring equipment to be analyzed under the same monitoring scene, comparing the similarity of the target early warning picture and a non-key area capturing monitoring picture in a first abnormal event to obtain a maximum value, and calculating a response index by combining the abnormal response time length;
The early warning index critical value calculation unit is used for obtaining response indexes of the same monitoring scene corresponding to all first abnormal events recorded by the monitoring equipment to be analyzed, and selecting the minimum value of the response indexes as an early warning index critical value.
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