CN115866210A - Security protection analytic control system for supervisory equipment based on thing networking - Google Patents
Security protection analytic control system for supervisory equipment based on thing networking Download PDFInfo
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Abstract
The invention discloses an analysis control system for security monitoring equipment based on the Internet of things, which belongs to the field of security and aims to solve the problems that the existing security and protection monitoring equipment has no emphasis direction and a good security and protection monitoring strategy.
Description
Technical Field
The invention belongs to the field of security and protection, relates to an analysis control technology, and particularly relates to an analysis control system for security and protection monitoring equipment based on the Internet of things.
Background
Security can be understood as an acronym for "security protection". According to dictionary interpretation, safety means no danger, no invasion and no accident; prevention refers to defense, i.e., arming, which refers to preparing to cope with an attack or avoid a victim, and arming, which refers to arming and protecting. In view of the above explanation, the following definitions can be given for security precautions: the method is ready and protected to cope with attacks or avoid victims, so that the protected object is in a safe state without danger, invasion and accidents. Obviously, safety is the purpose, and prevention is the means, reaches or realizes the purpose of safety through the means of prevention, is exactly the basic connotation of safety precaution.
The current security monitoring equipment mode is mostly large-area and large-amplitude monitoring, so that no direction and benign security monitoring strategies are emphasized in security monitoring, and matched monitoring parameters are not set based on monitoring factors of a monitoring area;
therefore, an analysis control system for security monitoring equipment based on the Internet of things is provided.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide an analysis control system for security monitoring equipment based on the Internet of things.
The technical problem to be solved by the invention is as follows:
how to set matched monitoring parameters based on the monitoring factors of the monitored area, construct a benign security monitoring strategy and realize the emphasis monitoring of the security monitoring area.
The purpose of the invention can be realized by the following technical scheme:
an analysis control system for security monitoring equipment based on the Internet of things comprises a data acquisition module, a region division module, a storage module, a region definition module, an intelligent setting module, a warning module, an intelligent judgment module, a data analysis module and a server, wherein the region division module is used for dividing a monitoring range of the security monitoring equipment into a plurality of security monitoring regions and feeding the security monitoring regions back to the server, and the server sends the security monitoring regions to the region definition module; the storage module is used for storing historical security data of different security monitoring areas and sending the historical security data to the area defining module;
the intelligent setting module is used for setting judgment parameters of the security monitoring area by combining the zone warning level, so that the allowable stay time of the warning area in the security monitoring area is fed back to the server, and the server sends the allowable stay time of the warning area in the security monitoring area to the intelligent judgment module;
the data acquisition module is used for acquiring real-time security data in a security monitoring area and sending the real-time security data to the server, and the server sends the real-time security data to the data analysis module; the data analysis module is used for carrying out data analysis on the security condition of the security monitoring area to obtain a real-time profile of the target object and feeding the real-time profile back to the server, and the server sends the real-time profile to the intelligent judgment module; the intelligent judgment module is used for judging the target object appearing in the warning area in the security monitoring area and judging to generate a security normal signal or a security warning signal.
Further, the historical security data is the security warning frequency of the security monitoring area, the warning time and the warning duration of each security warning, and the time of putting the security monitoring equipment into service corresponding to the security monitoring area;
the real-time security data are real-time monitoring videos and real-time stay time in the security monitoring area.
Further, the working process of the area defining module is as follows:
acquiring security warning times of a security monitoring area;
then, acquiring the warning time of each security warning in the security monitoring area, calculating the time difference value of adjacent warning time to obtain a plurality of groups of warning interval time lengths, and adding and summing the warning interval time lengths of the plurality of groups and dividing the sum by the security warning times to obtain the warning interval average time length of the security monitoring area;
finally, the time for putting into use of the security monitoring equipment corresponding to the security monitoring area is obtained, and the time for putting into use of the security monitoring equipment corresponding to the security monitoring area is obtained by subtracting the time for putting into use from the current time of the server;
and calculating the zone warning value of the security monitoring zone.
Further, the setting process of the zone alert level specifically includes the following steps:
and comparing the zone alert value with a zone alert threshold value, and judging that the zone alert level of the security monitoring zone is a third zone alert level, a second zone alert level or a first zone alert level.
Further, the setting process of the intelligent setting module is specifically as follows:
acquiring a preset monitoring picture of a security monitoring area; wherein, the pre-examination monitoring picture is a monitoring picture of the security monitoring area in a normal state;
establishing a coordinate system by taking the upper left corner of a preset monitoring drawing as an origin;
then, constructing a warning area in a coordinate system through the four groups of marking points;
then acquiring the region warning level of the security monitoring region;
and setting the allowable stay time of the warning area in the security monitoring area according to the area warning level of the security monitoring area.
Further, if the security monitoring area is at the first area warning level, the allowable stay time of the warning area in the security monitoring area is Y3;
if the security monitoring area is in the second area warning level, the allowable stay time of the warning area in the security monitoring area is Y2;
if the security monitoring area is in the third area warning level, the allowable stay time of the warning area in the security monitoring area is Y1; wherein Y1, Y2 and Y3 are positive integers with fixed numerical values, and Y1 is more than Y2 and less than Y3.
Further, the data analysis process of the data analysis module is specifically as follows:
acquiring a real-time monitoring video of a security monitoring area;
each frame of real-time monitoring picture in the real-time monitoring video is played according to a time axis as a sequence;
then extracting a real-time monitoring picture with a warning area in the real-time monitoring video;
when a target object appears in a real-time monitoring picture with a warning area, acquiring an infrared imaging picture of the target object;
and obtaining a real-time contour map of the target object through the infrared imaging map.
Further, the storage module is also used for storing preset contour maps of different objects, preset objects corresponding to the preset contour maps and object safety levels of the preset objects.
Further, the object safety level includes a safety level and a danger level.
Further, the determination process of the intelligent determination module is specifically as follows:
comparing the real-time contour map with preset contour maps in a storage module one by one;
stacking the real-time contour map and different preset contour maps, and counting the number JS of intersections and intersection areas of the real-time contour map and the different preset contours;
counting the area of the cross area and recording the area as the cross area;
calculating to obtain the adaptation values of the real-time contour map and different preset contour maps;
summarizing the preset contour map with the adaptation value smaller than the adaptation threshold value into an adaptation set;
counting preset objects corresponding to different preset contour maps in the adaptation set, and calibrating the preset objects with the largest quantity as adaptation objects corresponding to the target objects;
if the object safety level of the adaptive object is a danger level, generating a security warning signal;
if the object safety level of the adaptive object is the safety level, acquiring initial time of appearance of the target object and current time of the server from a real-time monitoring picture with a warning area, and subtracting the initial time from the current time of the server to obtain real-time stay time of the target object in the warning area of the security monitoring area;
and comparing the real-time stay time with the allowable stay time, if the real-time stay time is less than or equal to the allowable stay time, generating a security protection normal signal, and if the real-time stay time is greater than the allowable stay time, generating a security protection warning signal.
Further, the intelligent judgment module sends the security normal signal or the security warning signal to the server, if the server receives the security normal signal, no operation is performed, if the server receives the security warning signal, a security warning instruction is generated and loaded to the warning module, and the warning module sends out a security warning sound after receiving the security warning instruction.
Compared with the prior art, the invention has the beneficial effects that:
the method comprises the steps that a region dividing module is used for dividing a monitoring range of security monitoring equipment into a plurality of security monitoring regions, the region defining module is combined to define the security monitoring regions to obtain region warning values of the security monitoring regions, corresponding region warning levels are set for the security monitoring regions according to the region warning values and are sent to an intelligent setting module, the intelligent setting module sets judgment parameters of the security monitoring regions according to the region warning levels, and the allowed stay duration of the warning regions in the security monitoring regions is sent to the intelligent judgment module; during actual monitoring, data analysis is carried out on the security condition of a security monitoring area through a data analysis module, a real-time profile of a target object is obtained and sent to an intelligent judgment module, the intelligent judgment module judges the target object appearing in a warning area in the security monitoring area, and a security normal signal or a security warning signal is generated.
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In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings.
FIG. 1 is an overall system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In an embodiment, please refer to fig. 1, which shows that an analysis control system for a security monitoring device based on the internet of things includes a data acquisition module, a region division module, a storage module, a region definition module, an intelligent setting module, a warning module, an intelligent determination module, a data analysis module, and a server;
the area division module is used for dividing the monitoring range of the security monitoring equipment into a plurality of security monitoring areas and feeding back the security monitoring areas to the server; the dividing principle can be determined according to the situation, and the conventional dividing principle is according to roads, boundary lines and the like; the server sends the security monitoring area to an area defining module; the area defining module is connected with a storage module, and the storage module is used for storing historical security data of different security monitoring areas and sending the historical security data to the area defining module;
specifically, the historical security data includes the security warning times of the security monitoring area, the warning time and the warning duration of each security warning, the time of putting into service of the security monitoring equipment corresponding to the security monitoring area, and the like;
the region defining module is used for defining the region of the security monitoring region, and the working process is as follows:
acquiring security warning times of a security monitoring area, and marking the security warning times as JC;
then, acquiring the warning time of each security warning in the security monitoring area, calculating the time difference value of adjacent warning times to obtain a plurality of groups of warning interval time lengths, and adding and summing the warning interval time lengths of the plurality of groups and dividing the sum by the security warning times to obtain the warning interval average time length JT of the security monitoring area;
finally, the time of putting into service of the security monitoring equipment corresponding to the security monitoring area is obtained, and the time of putting into service of the security monitoring equipment corresponding to the security monitoring area is obtained by subtracting the time of putting into service from the current time of the server;
calculating a region warning value QJ of the security monitoring region by a formula QJ = (JC × a1+ ST × a 2)/(JT × a 3); in the formula, a1, a2 and a3 are proportionality coefficients with fixed numerical values, and the values of a1, a2 and a3 are all larger than zero;
the region defining module feeds back a region warning value QJ of the security monitoring region to the server, and the server sets a corresponding region warning level for the security monitoring region according to the region warning value;
in this embodiment, the setting process of the zone alert level specifically includes the following steps:
if QJ is less than X1, the regional warning level of the security monitoring region is a third regional warning level;
if the QJ is more than X1 and less than or equal to X2, the region warning level of the security monitoring region is a second region warning level;
if the X2 is less than or equal to QJ, the zone warning level of the security monitoring zone is a first zone warning level; wherein X1 and X2 are both zone alert thresholds of fixed numerical values, and X1 is less than X2;
it will be appreciated that the level of the first zone surveillance or the like is higher than the level of the second zone surveillance or the like, which is higher than the level of the third zone surveillance or the like, i.e., the zone surveillance value is directly proportional to the zone surveillance level;
the server sends the regional alert level of the security monitoring area to the intelligent setting module, the intelligent setting module is used for setting the judgment parameter of the security monitoring area by combining the regional alert level, and the setting process is as follows:
acquiring a preset monitoring picture of a security monitoring area; wherein, the pre-examination monitoring picture can be understood as a monitoring picture of the security monitoring area in a normal state;
establishing a coordinate system by taking the upper left corner of a preset monitoring drawing as an origin;
then, constructing a warning area in a coordinate system through the four groups of marking points;
then acquiring the region warning level of the security monitoring region;
if the security monitoring area is of the first area warning level, the allowable stay time of the warning area in the security monitoring area is Y3;
if the security monitoring area is in the second area warning level, the allowable stay time of the warning area in the security monitoring area is Y2;
if the security monitoring area is in the third area warning level, the allowed stay time of the warning area in the security monitoring area is Y1; wherein Y1, Y2 and Y3 are positive integers with fixed numerical values, and Y1 is more than Y2 and less than Y3;
it should be specifically noted that the warning area may be a valuable article placement area, or may be an important equipment placement area, such as a safe box area, a transformer placement area, or the like;
the intelligent setting module feeds back the allowable stay time of the warning area in the security monitoring area to the server, and the server sends the allowable stay time of the warning area in the security monitoring area to the intelligent judgment module;
during actual work, the data acquisition module is used for acquiring real-time security data in a security monitoring area and sending the real-time security data to the server, and the server sends the real-time security data to the data analysis module;
specifically, the real-time security data is a real-time monitoring video, a real-time staying time and the like in a security monitoring area; in specific implementation, the data acquisition module can be a high-definition camera, an infrared imager and the like for acquiring real-time monitoring videos, a timer capable of realizing timing, or a device integrating infrared imaging and timing;
the data analysis module is used for carrying out data analysis on the security condition of the security monitoring area, and the data analysis process specifically comprises the following steps:
acquiring a real-time monitoring video of a security monitoring area;
each frame of real-time monitoring picture in the real-time monitoring video is played according to a time axis as a sequence;
then extracting a real-time monitoring picture with a warning area in the real-time monitoring video;
when a target object appears in a real-time monitoring picture with a warning area, acquiring an infrared imaging picture of the target object;
obtaining a real-time contour map of the target object through the infrared imaging map;
the data analysis module feeds back a real-time contour map of the target object to the server, and the server sends the real-time contour map to the intelligent judgment module; the intelligent judgment module is connected with a storage module, and the storage module is used for storing preset contour maps of different objects, preset objects corresponding to the preset contour maps and object safety levels of the preset objects; wherein the object safety level comprises a safety level and a danger level;
the intelligent judgment module is used for judging the target object appearing in the warning area in the security monitoring area, and the judgment process is as follows:
comparing the real-time contour map with preset contour maps in a storage module one by one;
stacking the real-time contour map and different preset contour maps, and counting the number JS of intersections and intersection areas of the real-time contour map and the different preset contours;
the area of the cross area is counted and recorded as a cross area JM;
substituting the intersection number JS and the intersection area JM into a calculation formula SP = 1/(JS + JM) to calculate an adaptation value SP of the real-time contour map and different preset contour maps;
summarizing the preset contour map with the adaptation value smaller than the adaptation threshold value into an adaptation set;
counting preset objects corresponding to different preset contour maps in the adaptation set, and calibrating the preset objects with the largest quantity as adaptation objects corresponding to the target objects;
if the object safety level of the adaptive object is the safety level, entering the next step;
if the object safety level of the adaptive object is a danger level, generating a security warning signal;
finally, acquiring initial time of the target object and current time of the server from a real-time monitoring picture with a warning area, and subtracting the initial time from the current time of the server to obtain real-time stay time of the target object in the warning area of the security monitoring area;
comparing the real-time stay time with the allowable stay time, if the real-time stay time is less than or equal to the allowable stay time, generating a security normal signal, and if the real-time stay time is greater than the allowable stay time, generating a security warning signal;
the intelligent judgment module sends the security normal signal or the security warning signal to the server, if the server receives the security normal signal, no operation is performed, if the server receives the security warning signal, a security warning instruction is generated and loaded to the warning module, and the warning module sends a security warning sound after receiving the security warning instruction;
in specific implementation, the warning module is an alarm carried by the security monitoring equipment, and can also be an outdoor alarm placed in a security monitoring area.
The formulas are all calculated by removing dimensions and taking numerical values, the formula is a formula of a recent real situation obtained by collecting a large amount of data and performing software simulation, the weight coefficient and the scale coefficient are specific numerical values obtained by quantizing each parameter, and the weight coefficient and the scale coefficient can be calculated as long as the proportional relation between the parameter and the quantized numerical value is not influenced.
In another embodiment, based on another concept of the same invention, a working method of an analysis control system for security monitoring equipment based on the internet of things is provided, and the working method specifically comprises the following steps:
step S101, a region dividing module divides a monitoring range of security monitoring equipment into a plurality of security monitoring regions, the security monitoring regions are fed back to a server, and the server sends the security monitoring regions to a region defining module; the area defining module is connected with a storage module, and the storage module is used for storing historical security data of different security monitoring areas and sending the historical security data to the area defining module;
step S102, area defining is carried out on a security monitoring area through an area defining module, the security warning frequency of the security monitoring area is obtained, then the warning time of each security warning of the security monitoring area is obtained, the time difference value of adjacent warning time is calculated to obtain a plurality of groups of warning interval time lengths, the warning interval time lengths of the plurality of groups of warning interval time lengths are added and divided by the security warning frequency to obtain the warning interval average time length of the security monitoring area, finally the using time of security monitoring equipment corresponding to the security monitoring area is obtained, the using time of the security monitoring area is subtracted by the current time of a server to obtain the using time length of the security monitoring equipment corresponding to the security monitoring area, the area warning value of the security monitoring area is calculated, the area defining module feeds the area warning value of the security monitoring area back to the server, the server sets a corresponding area warning level for the security monitoring area according to the area warning value, and the server sends the area warning level of the security monitoring area to an intelligent setting module;
step S103, an intelligent setting module sets judgment parameters of a security monitoring area by combining with the area warning level, a preset monitoring picture of the security monitoring area is obtained, a coordinate system is established by taking the upper left corner of the preset monitoring picture as an original point, then a warning area is established in the coordinate system through four groups of marking points, the area warning level of the security monitoring area is obtained, the allowable stay time of the warning area in the security monitoring area is set according to the area warning level of the security monitoring area, the intelligent setting module feeds the allowable stay time of the warning area in the security monitoring area back to a server, and the server sends the allowable stay time of the warning area in the security monitoring area to the intelligent judgment module;
step S104, simultaneously, a data acquisition module acquires real-time security data in a security monitoring area and sends the real-time security data to a server, the server sends the real-time security data to a data analysis module, the data analysis module performs data analysis on security conditions of the security monitoring area to obtain a real-time monitoring video of the security monitoring area, each frame of real-time monitoring picture in the real-time monitoring video is played in sequence according to a time axis, then a real-time monitoring picture with a warning area in the real-time monitoring video is extracted, when a target object appears in the real-time monitoring picture with the warning area, an infrared imaging picture of the target object is obtained, a real-time outline of the target object is obtained through the infrared imaging picture, the data analysis module feeds the real-time outline of the target object back to the server, and the server sends the real-time outline to an intelligent judgment module;
step S105, the storage module further stores preset contour maps of different objects, preset objects corresponding to the preset contour maps and object safety levels of the preset objects, the intelligent judgment module is combined with the storage module to judge target objects appearing in a warning area in a security monitoring area, the real-time contour maps are compared with the preset contour maps in the storage module one by one, the real-time contour maps and the different preset contour maps are stacked, the crossing number and the crossing area of the real-time contour maps and the different preset contours are counted, the area of the crossing area is counted and recorded as the crossing area, the adaptation values of the real-time contour maps and the different preset contour maps are obtained by calculation, the preset contour maps with the adaptation values smaller than the adaptation threshold value are put into an adaptation set, the preset objects corresponding to the different preset contour maps in the adaptation set are counted, the preset objects with the largest number are calibrated as the adaptation objects corresponding to the target objects, if the object safety levels of the adaptation objects are dangerous levels, a summary warning signal is generated, if the object safety levels of the adaptation objects are the safety levels, the initial time of the obtained in the real-time monitoring image with the warning area and the current warning time of the object are obtained, if the normal warning signal is not received by the security server, the security monitoring server, if the normal warning signal is generated, the security server, the real-time of the security monitoring server is not greater than the normal warning server, if the normal warning signal is obtained, the normal warning server, if the normal warning server is received, the normal warning signal is obtained, and generating a security warning instruction and loading the security warning instruction to a warning module, wherein the warning module sends a security warning sound after receiving the security warning instruction.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (11)
1. An analysis control system for security monitoring equipment based on the Internet of things is characterized by comprising a data acquisition module, an area division module, a storage module, an area definition module, an intelligent setting module, a warning module, an intelligent judgment module, a data analysis module and a server, wherein the area division module is used for dividing a monitoring range of the security monitoring equipment into a plurality of security monitoring areas and feeding the security monitoring areas back to the server, and the server sends the security monitoring areas to the area definition module; the storage module is used for storing historical security data of different security monitoring areas and sending the historical security data to the area defining module;
the intelligent setting module is used for setting judgment parameters of the security monitoring area by combining the zone warning level, so that the allowable stay time of the warning area in the security monitoring area is fed back to the server, and the server sends the allowable stay time of the warning area in the security monitoring area to the intelligent judgment module;
the data acquisition module is used for acquiring real-time security data in a security monitoring area and sending the real-time security data to the server, and the server sends the real-time security data to the data analysis module; the data analysis module is used for carrying out data analysis on the security condition of the security monitoring area to obtain a real-time profile of the target object and feeding the real-time profile back to the server, and the server sends the real-time profile to the intelligent judgment module; the intelligent judgment module is used for judging the target object appearing in the warning area in the security monitoring area and judging to generate a security normal signal or a security warning signal.
2. The analysis control system for the security monitoring equipment based on the Internet of things is characterized in that historical security data are the number of security warning times of a security monitoring area, the warning time and the warning duration of each security warning, and the using time of the security monitoring equipment corresponding to the security monitoring area;
the real-time security data are real-time monitoring videos and real-time stay time in the security monitoring area.
3. The analysis control system for the security monitoring equipment based on the internet of things as claimed in claim 1, wherein the working process of the area defining module is as follows:
acquiring security warning times of a security monitoring area;
then, acquiring the warning time of each security warning in the security monitoring area, calculating the time difference value of adjacent warning time to obtain a plurality of groups of warning interval time lengths, and adding and summing the warning interval time lengths of the plurality of groups and dividing the sum by the security warning times to obtain the warning interval average time length of the security monitoring area;
finally, the time for putting the security monitoring equipment into use corresponding to the security monitoring area is obtained, and the time for putting the security monitoring equipment into use corresponding to the security monitoring area is obtained by subtracting the time for putting the security monitoring equipment into use from the current time of the server;
and calculating the zone warning value of the security monitoring zone.
4. The analysis control system for the security monitoring equipment based on the internet of things as claimed in claim 1, wherein the setting process of the regional alert level is specifically as follows:
and comparing the zone alert value with a zone alert threshold value, and judging that the zone alert level of the security monitoring zone is a third zone alert level, a second zone alert level or a first zone alert level.
5. The analysis control system for the security monitoring equipment based on the internet of things as claimed in claim 1, wherein the setting process of the intelligent setting module is as follows:
acquiring a preset monitoring picture of a security monitoring area; wherein, the pre-examination monitoring picture is a monitoring picture of the security monitoring area in a normal state;
establishing a coordinate system by taking the upper left corner of a preset monitoring drawing as an origin;
then, constructing a warning area in a coordinate system through the four groups of marking points;
then acquiring the zone warning level of the security monitoring zone;
and setting the allowable stay time of the warning area in the security monitoring area according to the area warning level of the security monitoring area.
6. The analysis control system for the security monitoring equipment based on the Internet of things is characterized in that if the security monitoring area is at the first area warning level, the allowable stay time of a warning area in the security monitoring area is Y3;
if the security monitoring area is in the second area warning level, the allowable stay time of the warning area in the security monitoring area is Y2;
if the security monitoring area is in the third area warning level, the allowed stay time of the warning area in the security monitoring area is Y1; wherein Y1, Y2 and Y3 are positive integers with fixed numerical values, and Y1 is more than Y2 and less than Y3.
7. The analysis control system for the security monitoring equipment based on the internet of things as claimed in claim 1, wherein the data analysis process of the data analysis module is as follows:
acquiring a real-time monitoring video of a security monitoring area;
each frame of real-time monitoring picture in the real-time monitoring video is played according to a time axis as a sequence;
then extracting a real-time monitoring picture with a warning area in the real-time monitoring video;
when a target object appears in a real-time monitoring picture with a warning area, acquiring an infrared imaging picture of the target object;
and obtaining a real-time contour map of the target object through the infrared imaging map.
8. The analysis control system for the security monitoring equipment based on the internet of things as claimed in claim 1, wherein the storage module is further configured to store preset contour maps of different objects, preset objects corresponding to the preset contour maps, and object security levels of the preset objects.
9. The analytic control system of claim 8, wherein the object security level comprises a security level and a risk level.
10. The analysis control system for the security monitoring equipment based on the internet of things according to claim 9, wherein the intelligent judgment module specifically comprises the following judgment processes:
comparing the real-time contour map with preset contour maps in a storage module one by one;
stacking the real-time contour map and different preset contour maps, and counting the number JS of intersections and intersection areas of the real-time contour map and the different preset contours;
counting the area of the cross area and recording the area as the cross area;
calculating to obtain the adaptation values of the real-time contour map and different preset contour maps;
summarizing the preset contour map with the adaptation value smaller than the adaptation threshold value into an adaptation set;
counting preset objects corresponding to different preset contour maps in the adaptation set, and calibrating the preset objects with the largest quantity as adaptation objects corresponding to the target objects;
if the object safety level of the adaptive object is a danger level, generating a security warning signal;
if the object safety level of the adaptive object is the safety level, acquiring initial time of appearance of the target object and current time of the server from a real-time monitoring picture with a warning area, and subtracting the initial time from the current time of the server to obtain real-time stay time of the target object in the warning area of the security monitoring area;
and comparing the real-time stay time with the allowable stay time, if the real-time stay time is less than or equal to the allowable stay time, generating a security normal signal, and if the real-time stay time is greater than the allowable stay time, generating a security warning signal.
11. The analysis control system for the security monitoring equipment based on the internet of things as claimed in claim 10, wherein the intelligent determination module sends a security normal signal or a security warning signal to the server, if the server receives the security normal signal, no operation is performed, if the server receives the security warning signal, a security warning instruction is generated and loaded to the warning module, and the warning module sends out a security warning sound after receiving the security warning instruction.
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