CN115866210B - Analysis control system for security monitoring equipment based on Internet of things - Google Patents
Analysis control system for security monitoring equipment based on Internet of things 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 is used for solving the problem that the security monitoring equipment does not have a emphasis direction and a benign security monitoring strategy at present.
Description
Technical Field
The invention belongs to the field of security protection, relates to an analysis control technology, and particularly relates to an analysis control system for security protection monitoring equipment based on the Internet of things.
Background
Security may be understood as an acronym for "security". According to dictionary interpretation, the safety is no danger, no invasion and no accident; the term "defending" refers to the provision or the abstinence of the device, and the term "defending" refers to the provision or the protection of the device in order to cope with the attack or avoid the damage. In summary, the above explanation may be given to the following definition of security: provision and protection are made to cope with attacks or to avoid damage, so that the protected object is in a safe state free from danger, damage and accidents. Obviously, the safety is the purpose, the prevention is means, and the purpose of safety is achieved or realized by the prevention means, which is the basic connotation of the safety prevention.
The current security monitoring equipment mode is mainly large-area and large-amplitude monitoring, so that no emphasis direction and benign security monitoring strategy are adopted in security monitoring, and meanwhile, no matched monitoring parameters are set based on monitoring factors of a monitoring area;
therefore, we propose an analysis control system for security monitoring equipment based on the internet of things.
Disclosure of Invention
Aiming at the defects existing 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 problems to be solved by the invention are as follows:
how to set the matched monitoring parameters based on the monitoring factors of the monitoring area, construct benign security monitoring strategies and realize the emphasis monitoring of the security monitoring area.
The aim of the invention can be achieved by the following technical scheme:
the analysis control system for the security monitoring equipment based on the Internet of things comprises a data acquisition module, a region dividing module, a storage module, a region definition module, an intelligent setting module, a warning module, an intelligent judging module, a data analysis module and a server, wherein the region dividing module is used for dividing the 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 is used for sending 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 judging parameters of the security monitoring area in combination with the regional alert level to obtain the allowable stay time of the warning area in the security monitoring area, and the server sends the allowable stay time of the warning area in the security monitoring area to the intelligent judging module;
the data acquisition module is used for acquiring real-time security data in the 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 security conditions of the security monitoring area, obtaining a real-time profile of the target object, feeding the real-time profile back to the server, and sending the real-time profile to the intelligent judgment module by the server; the intelligent judging module is used for judging a target object in a 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 are security warning times of a security monitoring area, warning time and warning duration of each security warning, and input use time of security monitoring equipment corresponding to the security monitoring area;
the real-time security data are real-time monitoring video and real-time stay time in the security monitoring area.
Further, the working process of the area defining module is specifically as follows:
acquiring security warning times of a security monitoring area;
then, the warning time of each security warning of the security monitoring area is obtained, the time difference value of the adjacent warning time is calculated to obtain a plurality of groups of warning interval duration, and the sum of the plurality of groups of warning interval duration is added and divided by the security warning times to obtain the warning interval average duration of the security monitoring area;
finally, acquiring the input use time of the security monitoring equipment corresponding to the security monitoring area, and subtracting the input use time from the current time of the server to obtain the input use time of the security monitoring equipment corresponding to the security monitoring area;
and calculating an area warning value of the security monitoring area.
Further, the setting process of the zone alert level is specifically as follows:
the regional alert value is compared with the regional alert threshold value, and the regional alert level of the security monitoring region is judged to be a third regional alert level, a second regional alert level or a first regional 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; 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 left upper corner of a preset monitoring drawing as an origin;
then building a warning area in a coordinate system through four groups of marking points;
then obtaining the regional alert grade 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 grade of the security monitoring area.
Further, if the security monitoring area is 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 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 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 all positive integers of fixed values, and Y1 is less 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 the 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 diagram 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 further used for storing preset contour maps of different objects, preset objects corresponding to the preset contour maps and object security levels of the preset objects.
Further, the object security levels include a security level and a risk level.
Further, the judging process of the intelligent judging module is specifically as follows:
comparing the real-time profile map with a preset profile map in a storage module one by one;
stacking the real-time profile map and different preset profile maps, and counting the intersecting number JS and the intersecting area of the real-time profile map and the different preset profiles;
counting the area of the crossing area and marking the area as the crossing area;
calculating to obtain the adaptation values of the real-time profile and different preset profiles;
summarizing a preset profile with an adaptation value smaller than an adaptation threshold value into an adaptation set;
counting preset objects corresponding to different preset profile maps in the adaptation set, and calibrating the preset objects with the largest number as adaptation objects corresponding to the target objects;
if the object safety level of the adaptive object is a dangerous level, generating a security warning signal;
if the object safety level of the adaptive object is the safety level, acquiring the initial time of the appearance of the target object and the current time of the server in a real-time monitoring picture with a warning area, and subtracting the initial time from the current time of the server to obtain the 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 smaller than or equal to the allowable stay time, generating a security normal signal, and if the real-time stay time is longer than the allowable stay time, generating a security warning signal.
Further, the intelligent judging 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 security warning sound after receiving the security warning instruction.
Compared with the prior art, the invention has the beneficial effects that:
the invention divides the monitoring range of the security monitoring equipment into a plurality of security monitoring areas by utilizing an area dividing module, and carries out area definition on the security monitoring areas by combining an area definition module to obtain an area warning value of the security monitoring areas, corresponding area warning levels are set for the security monitoring areas according to the area warning value and are sent to an intelligent setting module, and the intelligent setting module sets judging parameters of the security monitoring areas by combining the area warning levels to obtain the allowable stay time of the warning areas in the security monitoring areas and sends the allowable stay time to an intelligent judging module; during actual monitoring, data analysis is carried out on security conditions of a security monitoring area through a data analysis module, a real-time outline image of a target object is obtained and sent to an intelligent judgment module, the intelligent judgment module judges the target object in a warning area in the security monitoring area, and a security normal signal or a security warning signal is generated.
Drawings
The present invention is further described below with reference to the accompanying drawings for the convenience of understanding by those skilled in the art.
Fig. 1 is an overall system block diagram of the present invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, 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.
In an embodiment, referring to fig. 1, an analysis control system for security monitoring equipment based on the internet of things is provided, which includes a data acquisition module, a region dividing module, a storage module, a region defining module, an intelligent setting module, a warning module, an intelligent judging module, a data analysis module and a server;
the area dividing module is used for dividing the monitoring range of the security monitoring equipment into a plurality of security monitoring areas and feeding the security monitoring areas back to the server; the dividing principle can be optionally selected, 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;
the historical security data is the security warning times of the security monitoring area, the warning time and the warning duration of each security warning, the input use time of the security monitoring equipment corresponding to the security monitoring area and the like;
the area definition module is used for carrying out area definition on the security monitoring area, and the working process is specifically as follows:
acquiring security warning times of a security monitoring area, and marking the security warning times as JC;
then, the warning time of each security warning of the security monitoring area is obtained, the time difference of the adjacent warning time is calculated to obtain a plurality of groups of warning interval duration, and the warning interval duration of the plurality of groups of warning interval duration is added and summed and divided by the security warning times to obtain the warning interval average duration JT of the security monitoring area;
finally, acquiring the input use time of the security monitoring equipment corresponding to the security monitoring area, and subtracting the input use time from the current time of the server to obtain the input use time ST of the security monitoring equipment corresponding to the security monitoring area;
calculating to obtain a zone guard value QJ of the security monitoring zone through a formula QJ= (JC×a1+ST×a2)/(JT×a3); wherein a1, a2 and a3 are all proportional coefficients with fixed values, and the values of a1, a2 and a3 are all larger than zero;
the area definition module feeds back an area warning value QJ of the security monitoring area to the server, and the server sets a corresponding area warning level for the security monitoring area according to the area warning value;
in this embodiment, the setting process of the zone alert level is specifically as follows:
if QJ is less than X1, the zone warning level of the security monitoring zone is a third zone warning level;
if X1 is more than QJ and less than or equal to X2, the zone guard level of the security monitoring zone is a second zone guard level;
if 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 zone warning thresholds of fixed values, and X1 is less than X2;
it will be appreciated that the level of the first zone surveillance, etc. is higher than the level of the second zone surveillance, etc. is higher than the level of the third zone surveillance, i.e. the zone surveillance value is proportional to the zone surveillance level;
the server sends the regional alert level of the security monitoring region to the intelligent setting module, and the intelligent setting module is used for setting the judging parameters of the security monitoring region by combining the regional alert level, and the setting process is specifically as follows:
acquiring a preset monitoring picture of a security monitoring area; the pre-examination monitoring picture can be understood as a monitoring drawing of the security monitoring area in a normal state;
establishing a coordinate system by taking the left upper corner of a preset monitoring drawing as an origin;
then building a warning area in a coordinate system through four groups of marking points;
then obtaining the regional alert grade of the security monitoring region;
if the security monitoring area is 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 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 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 all positive integers with fixed values, and Y1 is more than Y2 and less than Y3;
the warning area can be a valuable article placement area, or an important device placement area, such as a safe box area, a transformer placement area, and 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 judging module;
when in 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;
the specific explanation is that the real-time security data is real-time monitoring video, real-time stay time length and the like in the security monitoring area; in the implementation, the data acquisition module can be a high-definition camera, an infrared imager and the like for acquiring the real-time monitoring video, a timer for realizing timing, or equipment integrating infrared imaging and timing;
the data analysis module is used for carrying out data analysis on security conditions of the security monitoring area, and the data analysis process 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 the 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 diagram of the target object;
obtaining a real-time profile of the target object through the infrared imaging graph;
the data analysis module feeds the real-time profile of the target object back to the server, and the server sends the real-time profile to the intelligent judgment module; the intelligent judging 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 security level includes a security level and a hazard level;
the intelligent judging module is used for judging a target object in a warning area in the security monitoring area, and the judging process is specifically as follows:
comparing the real-time profile map with a preset profile map in a storage module one by one;
stacking the real-time profile map and different preset profile maps, and counting the intersecting number JS and the intersecting area of the real-time profile map and the different preset profiles;
counting the area of the crossed area and marking as a crossed area JM;
substituting the intersecting number JS and the intersecting area JM into a calculation formula SP=1/(JS+JM) to calculate to obtain an adaptation value SP of the real-time profile map and different preset profile maps;
summarizing a preset profile with an adaptation value smaller than an adaptation threshold value into an adaptation set;
counting preset objects corresponding to different preset profile maps in the adaptation set, and calibrating the preset objects with the largest number as adaptation objects corresponding to the target objects;
if the object security level of the adaptive object is the security level, entering the next step;
if the object safety level of the adaptive object is a dangerous level, generating a security warning signal;
finally, acquiring initial time of the appearance of the target object and current time of a server in a real-time monitoring picture with the 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 smaller than or equal to the allowable stay time, generating a security normal signal, and if the real-time stay time is longer than the allowable stay time, generating a security warning signal;
the intelligent judging 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 security warning sound after receiving the security warning instruction;
in specific implementation, the warning module is an alarm on the security monitoring equipment, and can also be an outdoor alarm placed in the security monitoring area.
The formula is a formula for obtaining the numerical value calculation by removing dimensions, the formula is a formula for obtaining the latest real situation by collecting a large amount of data and performing software simulation, the size of the weight coefficient and the scale coefficient is a specific numerical value obtained by quantizing each parameter, and the size of the weight coefficient and the scale coefficient is only required 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, dividing the monitoring range of the security monitoring equipment into a plurality of security monitoring areas by an area dividing module, feeding the security monitoring areas back to a server, and sending the security monitoring areas to an area defining module by the server; 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, carrying out area definition on a security monitoring area through an area definition module, obtaining security warning times of the security monitoring area, then obtaining warning time of each security warning of the security monitoring area, calculating time difference values of adjacent warning time to obtain a plurality of groups of warning interval duration, adding and summing the plurality of groups of warning interval duration to divide the security warning times to obtain warning interval average duration of the security monitoring area, finally obtaining input use time of the security monitoring area corresponding to security monitoring equipment, subtracting the input use time from current time of a server to obtain input use time of the security monitoring area corresponding to the security monitoring equipment, calculating area warning value of the security monitoring area, feeding back the area warning value of the security monitoring area to the server by the area definition module, and setting corresponding area warning level of the security monitoring area by the server according to the area warning value, and sending the area warning level of the security monitoring area to an intelligent setting module by the server;
step S103, setting judging parameters of a security monitoring area by an intelligent setting module in combination with the area warning level, acquiring a preset monitoring picture of the security monitoring area, establishing a coordinate system by taking the upper left corner of a preset monitoring picture as an origin, then constructing a warning area in the coordinate system through four groups of marking points, acquiring the area warning level of the security monitoring area, 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, feeding back the allowable stay time of the warning area in the security monitoring area to a server by the intelligent setting module, and transmitting the allowable stay time of the warning area in the security monitoring area to the intelligent judging module by the server;
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 carries out data analysis on security conditions of the security monitoring area to acquire real-time monitoring videos of the security monitoring area, each frame of real-time monitoring picture in the real-time monitoring videos is played in sequence according to a time axis, then the real-time monitoring picture with a warning area in the real-time monitoring videos 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 acquired, a real-time outline picture of the target object is obtained through the infrared imaging picture, the data analysis module feeds back the real-time outline picture of the target object to the server, and the server sends the real-time outline picture to an intelligent judgment module;
step 105, the storage module further stores preset contour maps of different objects, preset objects corresponding to the preset contour maps and object security levels of the preset objects, the intelligent judgment module is combined with the storage module to judge the target objects in the warning areas in the security monitoring areas, the real-time contour maps are compared with the preset contour maps in the storage module one by one, the real-time contour maps are stacked and placed with the different preset contour maps, the number of intersections and the intersection areas of the real-time contour maps with the different preset contours are counted, the area of the intersection areas is counted and recorded as the intersection area, the adaptive values of the real-time contour maps and the different preset contour maps are calculated, the preset objects corresponding to the different preset contour maps in the adaptive set are counted, the preset objects with the largest number are calibrated to be the adaptive objects corresponding to the target objects, if the object security levels of the adaptive objects are dangerous levels, the security warning signals are generated, the real-time contour maps with the warning areas are acquired, the current time and the service time of the target objects are acquired in the real-time monitoring frames, the service time of the warning areas are calculated, the current time and the service time of the service areas are calculated, if the security signals are received in the normal time, the security signals are received by the security monitoring areas, the security signals, the real-time is calculated, the real-time length is longer than the normal time is calculated, and the real-time is longer than the normal time is calculated if the security signals is received, and generating a security warning instruction and loading the security warning instruction to a warning module, and sending security warning sound after the warning module receives the security warning instruction.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form 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 understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (7)
1. The analysis control system for the security monitoring equipment based on the Internet of things is characterized by comprising a data acquisition module, a region dividing module, a storage module, a region definition module, an intelligent setting module, a warning module, an intelligent judging module, a data analysis module and a server, wherein the region dividing module is used for dividing the 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 is used for sending 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 area definition module is used for carrying out area definition on the security monitoring area, and the working process is specifically as follows:
acquiring security warning times JC of a security monitoring area;
then, the warning time of each security warning of the security monitoring area is obtained, the time difference of the adjacent warning time is calculated to obtain a plurality of groups of warning interval duration, and the warning interval duration of the plurality of groups of warning interval duration is added and summed and divided by the security warning times to obtain the warning interval average duration JT of the security monitoring area;
finally, acquiring the input use time of the security monitoring equipment corresponding to the security monitoring area, and subtracting the input use time from the current time of the server to obtain the input use time ST of the security monitoring equipment corresponding to the security monitoring area;
calculating an area warning value QJ of the security monitoring area through a formula QJ= (JC×a1+ST×a2)/(JT×a3); wherein a1, a2 and a3 are all proportional coefficients with fixed values, and the values of a1, a2 and a3 are all larger than zero;
the intelligent setting module is used for setting judging parameters of the security monitoring area by combining the regional alert level to obtain the allowable stay time of the warning area in the security monitoring area, feeding back the allowable stay time of the warning area in the security monitoring area to the server, and sending the allowable stay time of the warning area in the security monitoring area to the intelligent judging module;
the data acquisition module is used for acquiring real-time security data in the 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 security conditions of the security monitoring area, obtaining a real-time profile of the target object, feeding the real-time profile back to the server, and sending the real-time profile to the intelligent judgment module by the server; 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, wherein the object safety levels comprise safety levels and danger levels; the intelligent judging module is used for judging a target object in a warning area in the security monitoring area, and the judging process is specifically as follows:
comparing the real-time profile map with a preset profile map in a storage module one by one;
stacking the real-time profile map and different preset profile maps, and counting the number of intersections and the intersection areas of the real-time profile map and the different preset profiles;
counting the area of the crossing area and marking the area as the crossing area;
calculating to obtain the adaptation values of the real-time profile and different preset profiles;
summarizing a preset profile with an adaptation value smaller than an adaptation threshold value into an adaptation set;
counting preset objects corresponding to different preset profile maps in the adaptation set, and calibrating the preset objects with the largest number as adaptation objects corresponding to the target objects;
if the object safety level of the adaptive object is a dangerous level, generating a security warning signal;
if the object safety level of the adaptive object is the safety level, acquiring the initial time of the appearance of the target object and the current time of the server in a real-time monitoring picture with a warning area, and subtracting the initial time from the current time of the server to obtain the 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 smaller than or equal to the allowable stay time, generating a security normal signal, and if the real-time stay time is longer than the allowable stay time, generating a security warning signal.
2. The analysis control system for the security monitoring equipment based on the internet of things according to claim 1, wherein the historical security data is security warning times of a security monitoring area, warning time and warning duration of each security warning, and input use time of the security monitoring area corresponding to the security monitoring equipment;
the real-time security data are real-time monitoring video and real-time stay time in the security monitoring area.
3. The analysis control system for security monitoring equipment based on the internet of things according to claim 1, wherein the setting process of the regional alert level is specifically as follows:
the regional alert value is compared with the regional alert threshold value, and the regional alert level of the security monitoring region is judged to be a third regional alert level, a second regional alert level or a first regional alert level.
4. The analysis control system for security monitoring equipment based on the internet of things according to claim 1, wherein the setting process of the intelligent setting module is specifically as follows:
acquiring a preset monitoring picture of a security monitoring area; 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 left upper corner of a preset monitoring drawing as an origin;
then building a warning area in a coordinate system through four groups of marking points;
then obtaining the regional alert grade 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 grade of the security monitoring area.
5. The analysis control system for security monitoring equipment based on the internet of things according to claim 4, wherein if the security monitoring area is a first area alert level, the allowable stay time of the alert area in the security monitoring area is Y3;
if the security monitoring area is 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 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 all positive integers of fixed values, and Y1 is less than Y2 and less than Y3.
6. The analysis control system for security monitoring equipment based on the internet of things according to claim 1, wherein 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 the 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 diagram of the target object;
and obtaining a real-time contour map of the target object through the infrared imaging map.
7. The analysis control system for the security monitoring equipment based on the internet of things according to claim 1, wherein the intelligent judging 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 a security warning sound after receiving the security warning instruction.
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| JP2021072475A (en) * | 2019-10-29 | 2021-05-06 | パナソニックＩｐマネジメント株式会社 | Monitoring system and monitoring system setting program |
| CN114187723A (en) * | 2021-11-25 | 2022-03-15 | 深圳市中西视通科技有限公司 | Security monitoring method |
| WO2022227549A1 (en) * | 2021-04-30 | 2022-11-03 | 青岛海尔空调器有限总公司 | Safety monitoring method and apparatus for household appliance, and household appliance |
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| CN115225865B (en) * | 2022-07-18 | 2023-05-05 | 合肥英乾电子科技有限公司 | Side sea defense video monitoring device based on infrared thermal imaging |
| CN115249341A (en) * | 2022-08-03 | 2022-10-28 | 广州市遥乐电子有限公司 | Intelligent security monitoring system |
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| JP2021072475A (en) * | 2019-10-29 | 2021-05-06 | パナソニックＩｐマネジメント株式会社 | Monitoring system and monitoring system setting program |
| WO2022227549A1 (en) * | 2021-04-30 | 2022-11-03 | 青岛海尔空调器有限总公司 | Safety monitoring method and apparatus for household appliance, and household appliance |
| CN114187723A (en) * | 2021-11-25 | 2022-03-15 | 深圳市中西视通科技有限公司 | Security monitoring method |
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