Building intelligent security monitoring system

Abstract

The invention discloses an intelligent building security and protection monitoring system, and relates to the technical field of building security and protection monitoring, and the system comprises a main body selection module, a snapshot selection analysis module, a main body snapshot analysis module, an early warning terminal and a database. The method comprises the following steps: acquiring a monitoring main body, analyzing the importance of the monitoring main body corresponding to each track of the building on the basis of the industrial track of the monitoring main body in the building, and analyzing the snapshot quality of monitoring on the basis of an acquired state image so as to complete the snapshot quality, thereby achieving the intelligent and efficient monitoring of the building. According to the invention, information capture of key data of the building is realized, timely discovery and prevention are carried out, the probability of occurrence of safety accidents and safety risks in the building are reduced, monitoring blind areas and careless omissions in the building are effectively reduced and avoided, effectiveness and comprehensiveness of building security monitoring are ensured, and intelligent and efficient security monitoring is realized.

Description

Technical Field

[0001] The present invention relates to the technical field of building security monitoring, and in particular to an intelligent building security monitoring system. Background Art

[0002] With the continuous development of the intelligent manufacturing industry, industrial buildings, as important development sites of the industry, need to carry out intelligent monitoring of their building security to ensure the manufacturing and application safety of the buildings. By screening the main monitoring subjects of the buildings, the main monitoring targets can be confirmed to carry out in-depth and accurate monitoring of the buildings, and the quality of monitoring in the buildings can be evaluated, so as to make timely monitoring adjustments and realize intelligent and efficient monitoring under building security.

[0003] Prior art, such as the invention patent application with publication number CN116567424B, discloses an intelligent building security monitoring system. To address the problem that existing security monitoring cannot turn and capture images of a target floor, the following solution is proposed, comprising an L-shaped fixed carrier plate that is detachably fixed to the top of the building body and faces vertically outward. The top of the L-shaped fixed carrier plate is provided with a lifting mechanism, and the lifting mechanism includes a camera bracket and a servo motor fixed to the L-shaped fixed carrier plate. A rope roller is fixed to the top of the output shaft of the servo motor, and a pull rope is wound around the circumferential outer wall of the rope roller. During monitoring, when the camera captures continuous movement in the window of the opposite floor through wide-angle photography, it will immediately focus and transmit a signal to the processor. At this time, the processor controls the lifting mechanism to lift the self-focusing camera to a position directly opposite the floor where it is located. This not only has a deterrent effect, but also enables clearer images, facilitating later evidence collection.

[0004] Regarding the above scheme, there are the following technical problems: the above invention mainly analyzes and solves the problem that the existing security cannot turn to capture and shoot the target floor. It does not screen out the monitoring subjects corresponding to the building according to the industrial nature of the building. It cannot analyze the importance of the monitoring subjects' corresponding trajectories to the building based on the movement trajectory of the monitoring subjects. There is a lack of broad and unfocused monitoring. The capture trigger conditions for the monitoring subjects corresponding to each target point in the building are not analyzed and set. There are many invalid monitoring and low monitoring efficiency phenomena. At the same time, there is no further analysis of the capture of the monitoring subjects corresponding to each target point in the building. The status images of the monitoring subjects corresponding to each target point in the building are not obtained. The capture quality of the monitoring subjects corresponding to each target point in the building cannot be analyzed, and the corresponding capture measures are not improved under the current situation of unqualified capture quality. It is impossible to understand the monitoring situation in the building in time, and the current status of the building cannot be effectively grasped, and there is a security risk. Summary of the Invention

[0005] In view of the above-mentioned technical deficiencies, the purpose of the present invention is to provide a building intelligent security monitoring system and system and system.

[0006] In order to solve the above technical problems, the present invention adopts the following technical solution: The present invention provides a building intelligent security monitoring system and system and system, including: a subject selection module, which is used to analyze the industrial property data corresponding to the building and obtain the monitoring subject under the corresponding security of the building.

[0007] The capture selection and analysis module is used to obtain the industrial trajectory of the monitored subject within the building based on the monitored subject analyzed under the corresponding security of the building, analyze the importance of the monitored subject's corresponding trajectory to the building, and analyze the capture trigger conditions of the monitored subject corresponding to each target point in the building.

[0008] The subject capture analysis module is used to further analyze the capture of the monitoring subjects corresponding to each target point in the building, obtain the status image of the monitoring subjects corresponding to each target point in the building, and then analyze the capture quality of the monitoring subjects corresponding to each target point in the building. When the capture quality of the monitoring subject corresponding to a certain target point in the building is unqualified, the capture improvement measures for the monitoring subjects corresponding to each problem target point in the building are analyzed.

[0009] The early warning terminal is used to issue an early warning when the capture quality of a certain target point in a building corresponding to the monitored subject is unqualified.

[0010] Compared with the prior art, the beneficial effects of the present invention are: 1. The present invention provides an intelligent building security monitoring system, which analyzes the monitoring subject under the corresponding security of the building, and based on the industrial trajectory of the monitoring subject in the building, analyzes the importance of the monitoring subject's corresponding trajectory to the building, and analyzes the monitoring capture quality based on the acquired status image, thereby performing improvement under the capture quality, thereby achieving intelligent and efficient monitoring of the building, realizing information capture of key building data, timely discovery and prevention, reducing the probability and safety risks of safety accidents in the building, effectively reducing and avoiding monitoring blind spots and omissions in the building, ensuring the effectiveness and comprehensiveness of building security monitoring, and realizing intelligent and efficient security monitoring.

[0011] 2. Based on the industrial data corresponding to the building, we can analyze and obtain the monitoring subjects under the building's corresponding security, thereby confirming the main monitoring targets, so as to implement in-depth and accurate monitoring of the building and solve the problem of vague monitoring objects.

[0012] 3. Obtain the industrial trajectory of the monitored subject in the building, analyze the importance of the monitored subject's corresponding trajectory to the building, and analyze the capture trigger conditions of the monitored subject at each target point in the building, so as to achieve intelligent and efficient monitoring of the building, realize the capture of key building data, and avoid invalid building monitoring.

[0013] 4. By analyzing the capture quality of each target point in the building corresponding to the monitoring subject, when the capture quality of a certain target point in the building corresponding to the monitoring subject is unqualified, the analysis obtains the capture improvement measures of each problem target point in the building corresponding to the monitoring subject, avoiding monitoring blind spots and omissions in the building, ensuring the effectiveness and comprehensiveness of building security monitoring, and realizing intelligent and efficient security monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0015] Figure 1 This is a schematic diagram of the system structure connection of the present invention. DETAILED DESCRIPTION

[0016] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0017] See also Figure 1 As shown, a building intelligent security monitoring system includes a subject selection module, a welding capture selection and analysis module, a subject capture analysis module, an early warning terminal and a database.

[0018] The subject selection module is connected to the snapshot selection analysis module and the database respectively, the snapshot selection analysis module is connected to the subject snapshot analysis module and the database respectively, and the subject snapshot analysis module is connected to the early warning terminal and the database respectively.

[0019] The subject selection module is used to analyze the industrial property data corresponding to the building and obtain the monitoring subject under the corresponding security of the building.

[0020] It should be noted that the industrial nature of the building is set by professional building designers, and the industrial nature data of the building is obtained from the database. The industrial nature data includes basic attribute data, functional attribute data and risk attribute data; basic attribute data includes the type of building use and geographical location and area; functional attribute data includes process technology type and material flammability value; risk attribute data includes the number of historical accidents and traffic volume in the building.

[0021] It should also be noted that the proportion data room is based on obtaining the number of corresponding monitoring times of each monitoring target in historical monitoring from the database, dividing the total monitoring times by the monitoring times and multiplying by the percentage, and obtaining the proportion data corresponding to each monitoring target in turn.

[0022] It should also be noted that when the data contained in the industrial data is unified in an industrial data set, the monitoring target corresponding to the set is used as the monitoring subject under the corresponding security of the building, and the analyzed monitoring subject is used to analyze the corresponding monitoring capture point for the subsequent monitoring subject's corresponding trajectory.

[0023] As an optional implementation method, the analysis obtains the monitoring subject under the security corresponding to the building. The specific analysis process is as follows: the industrial data corresponding to the building are compared with the industrial data sets corresponding to the monitoring targets stored in the database. If the data contained in the industrial data corresponding to the building exist in the industrial data sets corresponding to the monitoring targets stored in the database, then the monitoring targets corresponding to the industrial data sets are used as the monitoring subjects under the security corresponding to the building, and the proportion data of each monitoring target in the historical monitoring of the building are obtained from the database, and arranged in order from large to small to obtain the sequential priority monitoring subject set under the security corresponding to the building. If the data contained in the industrial data corresponding to the building are all in a certain industrial data set corresponding to a certain monitoring target stored in the database, then the monitoring target corresponding to the industrial data set is used as the monitoring subject under the security corresponding to the building, and the monitoring subject under the security corresponding to the building is obtained by analysis.

[0024] Based on the industrial data corresponding to the building, we can analyze and obtain the monitoring subjects under the building's corresponding security, thereby confirming the main monitoring targets, so as to implement in-depth and accurate monitoring of the building and solve the problem of vague monitoring objects.

[0025] The capture selection and analysis module is used to obtain the industrial trajectory of the monitored subject within the building based on the monitored subject analyzed under the corresponding security of the building, analyze the importance of the monitored subject's corresponding trajectory to the building, and analyze the capture trigger conditions of the monitored subject corresponding to each target point in the building.

[0026] It should be noted that industrial trajectory data includes high-frequency path data, privacy level data and periodic data; high-frequency path data includes path entry frequency and path traffic, etc.; privacy level data includes security level and privacy level, etc.

[0027] As an optional implementation method, the analysis obtains the importance of each trajectory of the monitored subject in the building. The specific analysis process is as follows: W1. Obtain the trajectory of the monitored subject in the building, and then obtain the corresponding trajectories of the monitored subject, and extract the basic information data corresponding to each trajectory, including high-frequency path data and privacy level data.

[0028] W2. Import the basic information data of each trajectory into the importance analysis model of the building's industrial location, and then analyze and obtain the importance coefficient of the monitoring subject's corresponding trajectory to the building. If the importance coefficient of the monitoring subject's corresponding trajectory to the building is 0, then it is determined that the trajectory does not belong to the important industrial location in the building. If the importance coefficient of the monitoring subject's corresponding trajectory to the building is 1, then it is determined that the trajectory is an important industrial location in the building. The trajectory is used as the target point for capturing the monitoring target behavior, and the target points are obtained by analogy. The existing monitoring in the building is used to capture the trajectory of the monitoring subject at each target point, so as to analyze and obtain the importance of the monitoring subject's corresponding trajectory to the building.

[0029] As an optional implementation, the analysis obtains the importance coefficient of each trajectory of the monitored subject to the building. The specific analysis process is as follows: through the building industrial location importance analysis model:

[0030] Among them A g is the importance coefficient of the monitoring subject corresponding to the g-th trajectory of the building, p′ is the set reference high-frequency path data, and p g is the high-frequency path data of the monitored subject at the g-th trajectory of the building, y′ is the set reference privacy level data, and y g is the privacy level data of the monitored subject at the g-th trajectory of the building, g = 1, 2, ..., ..., m, where m is an arbitrary integer greater than 2, ν1 and ν2 are the weight factors of the high-frequency path data, the privacy level data, and the periodic data, respectively, and k is the reference importance coefficient.

[0031] It should be noted that the reference high-frequency path data, reference privacy level data, reference periodicity data and reference importance coefficient are set by professional building security personnel. The reference importance coefficient is a reference value used to determine whether there is a necessity for monitoring at each trajectory corresponding to the monitored subject. The setting process of the reference high-frequency path data, reference privacy level data and reference periodicity data is consistent with that of the reference importance coefficient, so it will not be repeated here.

[0032] It should also be noted that ν1 and ν2 are set based on the principal component analysis method of the existing technology in the current relevant field. Based on the principal component analysis method, a large amount of data corresponding to the monitoring subject's movement to each trajectory in the building scene is condensed. Secondly, the variance explanation rate based on the principal component analysis method is used to obtain the data weights corresponding to the monitoring subject's movement to each trajectory in the building scene, and the values of ν1 and ν2 are set.

[0033] It should be noted that physical feature data includes height and width limits, etc.; movement data includes speed and duration of stay, etc.

[0034] As an optional implementation method, the analysis obtains the snapshot trigger conditions of the monitoring subject corresponding to each target point in the building. The specific analysis process is as follows: according to the physical composition corresponding to the monitoring subject and each target point, the motion data and physical feature data corresponding to the monitoring subject and each target point are extracted respectively, and a reference alarm condition data set is preset based on the motion data and physical feature data corresponding to the monitoring subject and each target point.

[0035] After the monitored subject passes the preliminary batch inspection of the intelligent system, it is driven according to the trajectory route planned by the intelligent system. If any condition data in the reference alarm condition data set exists for the monitored subject corresponding to a certain target point in the building, the monitored subject corresponding to the target point is captured, and the capture trigger conditions of the monitored subjects corresponding to each target point in the building are obtained by analysis.

[0036] It should be noted that the reference alarm condition data set is preset by professional building security personnel. The preset reference alarm condition data set is a reference value for determining whether the monitoring subject corresponding to each target point in the building is in a non-compliant state.

[0037] Obtain the industrial trajectory of the monitored subject in the building, analyze the importance of the monitored subject's corresponding trajectory to the building, and analyze the capture trigger conditions of each target point in the building corresponding to the monitored subject, so as to achieve intelligent and efficient monitoring of the building, realize the capture of key building data, and avoid invalid building monitoring.

[0038] The subject capture analysis module is used to further analyze the capture of the monitoring subjects corresponding to each target point in the building, obtain the status image of the monitoring subjects corresponding to each target point in the building, and then analyze the capture quality of the monitoring subjects corresponding to each target point in the building. When the capture quality of the monitoring subject corresponding to a certain target point in the building is unqualified, the capture improvement measures for the monitoring subjects corresponding to each problem target point in the building are analyzed.

[0039] As an optional implementation method, the state image of the monitoring subject corresponding to each target point in the building is obtained, and the specific acquisition process is as follows: based on the real-time monitoring and analysis of the intelligent system itself, the snapshot monitoring of the monitoring subject is obtained, and then the multi-layer snapshot images of the monitoring subject corresponding to each target point in the building are obtained, and the image stitching technology is used to stitch the multi-layer snapshot images of the monitoring subject corresponding to each target point in the building in a chronological sequence to obtain the state image of the monitoring subject corresponding to each target point in the building, and the state image is extracted in the picture and time sequence to obtain the snapshot state data of the monitoring subject corresponding to each target point in the building, including area coverage, pixel size, occlusion area and number of blank frames.

[0040] As an optional implementation method, the analysis obtains the capture quality of the monitoring subject corresponding to each target point in the building. The specific analysis process is as follows: according to the capture status data of the monitoring subject corresponding to each target point in the building, and obtaining the reference interval of the capture status data of the historical monitoring capture of the corresponding building from the database, and then analyzing to obtain the capture quality result value of the monitoring subject corresponding to each target point in the building. If the capture quality result value of the monitoring subject corresponding to a certain target point in the building is 0, it is determined that the capture quality of the monitoring subject corresponding to the target point in the building is unqualified, and the target point is recorded as a problem target point, and further capture improvement analysis of the problem target point is performed. If the capture quality result value of the monitoring subject corresponding to a certain target point in the building is 1, it is determined that the capture quality of the monitoring subject corresponding to the target point in the building is qualified, and the capture quality of the monitoring subject corresponding to each target point in the building is obtained by analysis.

[0041] As an optional implementation method, the analysis obtains the capture quality result value of each target point of the building corresponding to the monitoring subject. The specific analysis process is as follows: through the calculation formula:

[0042] where ψ b is the capture quality result value of a target point in a building corresponding to the monitored subject, b is the number of each target point, b = 1, 2, ..., ..., f, f is any integer greater than 2, s is the number of the capture status data, s∈[1, 4], 1, 2, 3 and 4 are the area coverage, pixel size, occlusion area and number of blank images respectively, It is the captured status data of the monitoring subject corresponding to a certain target point in the building. It is the reference interval of the snapshot status data of the historical building corresponding to the monitoring snapshot.

[0043] It should be noted that the reference interval is set by professional building security personnel. The reference interval is a reference value used to determine the capture quality of a certain target point in the building corresponding to the monitored subject. The area coverage, pixel size, occlusion area and number of blank frames included in the capture status data correspond to their respective reference intervals, namely the area coverage reference interval, pixel size reference interval, occlusion area reference interval and blank frame reference interval.

[0044] As an optional implementation method, the analysis obtains the capture improvement measures for the monitoring subjects corresponding to each problem target point in the building. The specific analysis process is as follows: if the quality problem of a problem target point in the building is any one of the data manifestations of area coverage, pixel size or occlusion area data, then the capture quality problem of the problem target point is determined to be a physical blind spot, and the capture quality result value of the monitoring subject corresponding to the problem target point in the building is compared with the historical capture quality result values corresponding to the reference monitoring angle stored in the database. If the capture quality result value of the monitoring subject corresponding to the problem target point in the building is the same as a historical capture quality result value corresponding to the reference monitoring angle stored in the database, then the reference angle of the historical capture quality result value is used as the capture adjustment angle of the monitoring subject corresponding to the problem target point in the building. If the capture device of the monitoring subject corresponding to the problem target point in the building cannot perform angle adjustment, then a new capture device is added, and the new capture device is deployed with the analyzed adjustment angle.

[0045] If the quality problem of a problem target point in a building is manifested by the number of blank data, then the capture quality problem of the problem target point is determined to be a time blind spot. The blank time series corresponding to the capture of the problem target point in the building is obtained, and the current blank sequence is used as the fixed-point control benchmark for the capture time under the condition that the monitoring subject triggers the capture, and the capture time of the monitoring subject corresponding to the problem target point in the building is obtained. Combining the above analysis, the capture improvement measures for the monitoring subjects corresponding to the problem target points in the building are obtained.

[0046] By analyzing the capture quality of the corresponding monitoring subjects at each target point in the building, when the capture quality of the corresponding monitoring subject at a certain target point in the building is unqualified, the analysis obtains the capture improvement measures for the corresponding monitoring subjects at each problem target point in the building, avoiding monitoring blind spots and omissions in the building, ensuring the effectiveness and comprehensiveness of building security monitoring, and realizing intelligent and efficient security monitoring.

[0047] It should be noted that if the quality problem of a problem target point in a building is manifested in any one of the data expressions of area coverage, pixel size or occlusion area data: the area coverage data expression means that the captured status image has the phenomenon of missing or incomplete area capture; the pixel size data expression means that the captured status image of the monitoring subject does not reach the set pixels. For example, if the captured image of the monitoring subject is set to be greater than or equal to 150 pixels, but the current captured monitoring subject pixel is 120 pixels, the captured pixels are set by professional building security personnel; the occlusion area data expression means that the image captured by the monitoring subject is blocked by objects; if the quality problem of a problem target point in a building is manifested in the blank number data expression, the status image captured of the monitoring subject shows a comprehensive image picture, and there is no monitoring subject.

[0048] It should be noted that, for example, the blank time sequence corresponding to the snapshot of the problem target point in the building is 12:00, 12:03 and 12:06, and the blank time is 3 minutes. The current 3-minute interval is used as the fixed-point snapshot interval for the monitoring target of the problem target point, so as to obtain an additional set fixed-point snapshot based on the snapshot triggering condition of the monitoring subject, thereby solving the time blind spot of building monitoring.

[0049] The database is used to store industrial property data, various industrial property data sets, industrial trajectory data, motion data, physical characteristic data, capture status data, reference intervals of capture status data and various historical capture quality result values.

[0050] The early warning terminal is used to issue an early warning when the capture quality of a certain target point in a building corresponding to the monitored subject is unqualified.

[0051] The embodiment of the present invention analyzes the monitoring subject under the corresponding security of the building, and based on the industrial trajectory of the monitoring subject in the building, analyzes the importance of the monitoring subject's corresponding trajectory to the building, and analyzes the monitoring capture quality based on the acquired status image, thereby performing improvement under the capture quality, thereby achieving intelligent and efficient monitoring of the building, realizing information capture of key building data, timely discovery and prevention, reducing the probability and safety risks of safety accidents in the building, effectively reducing and avoiding monitoring blind spots and omissions in the building, ensuring the effectiveness and comprehensiveness of building security monitoring, and realizing intelligent and efficient security monitoring.

[0052] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the scope of protection of the present invention.

Claims

1. A building intelligent security monitoring system, characterized in that: include: The subject selection module is used to analyze the industrial data corresponding to the building and obtain the monitoring subject under the corresponding security of the building; The capture selection and analysis module is used to obtain the industrial trajectory of the monitored subjects within the building based on the monitored subjects analyzed under the corresponding security protection of the building, analyze the importance of the monitored subjects' corresponding trajectories in the building, and analyze the capture trigger conditions for the monitored subjects at each target point in the building; The subject snapshot analysis module is used to further analyze the snapshots of the monitoring subjects corresponding to each target point in the building, obtain the status images of the monitoring subjects corresponding to each target point in the building, and then analyze the snapshot quality of each target point in the building corresponding to the monitoring subject. When the snapshot quality of a certain target point in the building corresponding to the monitoring subject is unqualified, the analysis will obtain the snapshot improvement measures for the monitoring subjects corresponding to each problematic target point in the building; The early warning terminal is used to issue an early warning when the capture quality of a certain target point in a building corresponding to the monitored subject is unqualified.

2. The intelligent building security monitoring system according to claim 1, characterized in that: The analysis obtains the monitoring subject under the corresponding security of the building. The specific analysis process is as follows: Compare the industrial data corresponding to the building with the industrial data sets corresponding to the monitoring targets stored in the database. If the data contained in the industrial data corresponding to the building exist in the industrial data sets corresponding to the monitoring targets stored in the database, then the monitoring targets corresponding to the industrial data sets will be used as the monitoring subjects under the security corresponding to the building, and the proportion data of each monitoring target in the historical monitoring of the building will be obtained from the database. The data will be arranged in order from large to small to obtain the sequential priority monitoring subject set under the security corresponding to the building. If the data contained in the industrial data corresponding to the building are all in a certain industrial data set corresponding to a certain monitoring target stored in the database, then the monitoring target corresponding to the industrial data set will be used as the monitoring subject under the security corresponding to the building, and the monitoring subject under the security corresponding to the building will be obtained through analysis.

3. The intelligent building security monitoring system according to claim 2, characterized in that: The analysis obtains the importance of each trajectory of the monitored subject to the building. The specific analysis process is as follows: W1. Obtain the trajectory of the monitored subject within the building, and then obtain the corresponding trajectory of the monitored subject, and extract the basic information data corresponding to each trajectory, including high-frequency path data and privacy level data; W2. Import the basic information data of each trajectory into the importance analysis model of the building's industrial location, and then analyze and obtain the importance coefficient of the monitoring subject's corresponding trajectory to the building. If the importance coefficient of the monitoring subject's corresponding trajectory to the building is 0, then it is determined that the trajectory does not belong to the important industrial location in the building. If the importance coefficient of the monitoring subject's corresponding trajectory to the building is 1, then it is determined that the trajectory is an important industrial location in the building. The trajectory is used as the target point for capturing the monitoring target behavior, and the target points are obtained by analogy. The existing monitoring in the building is used to capture the trajectory of the monitoring subject at each target point, so as to analyze and obtain the importance of the monitoring subject's corresponding trajectory to the building.

4. The intelligent building security monitoring system according to claim 3, characterized in that: The analysis obtains the importance coefficient of each trajectory of the monitored subject to the building. The specific analysis process is as follows: Through the building industrial location importance analysis model: Among them A g is the importance coefficient of the monitoring subject corresponding to the g-th trajectory of the building, p′ is the set reference high-frequency path data, and p g is the high-frequency path data of the monitored subject at the g-th trajectory of the building, y′ is the set reference privacy level data, and y g is the privacy level data of the monitored subject at the g-th trajectory of the building, g = 1, 2, ..., ..., m, where m is an arbitrary integer greater than 2, ν1 and ν2 are the weight factors of the high-frequency path data, the privacy level data, and the periodic data, respectively, and k is the reference importance coefficient.

5. The intelligent building security monitoring system according to claim 4, characterized in that: The analysis obtains the snapshot triggering conditions for each target point in the building corresponding to the monitored subject. The specific analysis process is as follows: According to the physical composition corresponding to the monitored subject and each target point, the motion data and physical characteristic data corresponding to the monitored subject and each target point are extracted respectively, and a reference alarm condition data set is preset based on the motion data and physical characteristic data corresponding to the monitored subject and each target point; After the monitored subject passes the preliminary batch inspection of the intelligent system, it is driven according to the trajectory route planned by the intelligent system. If any condition data in the reference alarm condition data set exists for the monitored subject corresponding to a certain target point in the building, the monitored subject corresponding to the target point is captured, and the capture trigger conditions of the monitored subjects corresponding to each target point in the building are obtained by analysis.

6. The intelligent building security monitoring system according to claim 5, characterized in that: The specific acquisition process of obtaining the status image of each target point in the building corresponding to the monitored subject is as follows: Based on the real-time monitoring and analysis of the intelligent system itself, the snapshot monitoring of the monitored subject is obtained, and then the multi-layer snapshot images of the monitored subject corresponding to each target point in the building are obtained. The image stitching technology is used to stitch the multi-layer snapshot images of the monitored subject corresponding to each target point in the building in a chronological sequence to obtain the status image of the monitored subject corresponding to each target point in the building. The status image is extracted in the picture and time sequence to obtain the snapshot status data of the monitored subject corresponding to each target point in the building, including area coverage, pixel size, occlusion area and number of blank frames.

7. The intelligent building security monitoring system according to claim 6, characterized in that: The analysis obtains the capture quality of each target point in the building corresponding to the monitored subject. The specific analysis process is as follows: According to the snapshot status data of the monitoring subject corresponding to each target point in the building, and obtaining the reference interval of the snapshot status data of the historical monitoring snapshot of the corresponding building from the database, the snapshot quality result value of the monitoring subject corresponding to each target point in the building is analyzed. If the snapshot quality result value of the monitoring subject corresponding to a certain target point in the building is 0, it is determined that the snapshot quality of the monitoring subject corresponding to this target point in the building is unqualified, and the target point is recorded as a problem target point, and further snapshot improvement analysis of the problem target point is performed. If the snapshot quality result value of the monitoring subject corresponding to a certain target point in the building is 1, it is determined that the snapshot quality of the monitoring subject corresponding to this target point in the building is qualified, and the snapshot quality of the monitoring subject corresponding to each target point in the building is obtained by analysis.

8. The intelligent building security monitoring system according to claim 7, characterized in that: The analysis obtains the capture quality result value of each target point in the building corresponding to the monitored subject. The specific analysis process is as follows: By calculation formula: where ψ b is the capture quality result value of a target point in a building corresponding to the monitored subject, b is the number of each target point, b=1,2,...,...,f, f is any integer greater than 2, s is the number of the capture status data, s∈[1,4], 1, 2, 3 and 4 are the area coverage, pixel size, occlusion area and number of blank images respectively, It is the captured status data of the monitoring subject corresponding to a certain target point in the building. It is the reference interval of the snapshot status data of the historical building corresponding to the monitoring snapshot.

9. The intelligent building security monitoring system according to claim 8, characterized in that: The above analysis obtains the capture and improvement measures for the corresponding monitoring subjects of each problem target point in the building. The specific analysis process is as follows: If the quality problem of a problem target point in a building is any one of the data manifestations of area coverage, pixel size or occlusion area data, then the capture quality problem of the problem target point is determined to be a physical blind spot, and the capture quality result value of the monitoring subject corresponding to the problem target point in the building is compared with the historical capture quality result values corresponding to the reference monitoring angles stored in the database. If the capture quality result value of the monitoring subject corresponding to the problem target point in the building is the same as a historical capture quality result value corresponding to the reference monitoring angle stored in the database, then the reference angle of the historical capture quality result value is used as the capture adjustment angle of the monitoring subject corresponding to the problem target point in the building. If the capture device of the monitoring subject corresponding to the problem target point in the building cannot perform angle adjustment, then a new capture device is added, and the new capture device is deployed with the analyzed adjustment angle. If the quality problem of a problem target point in a building is manifested by the number of blank data, then the capture quality problem of the problem target point is determined to be a time blind spot. The blank time series corresponding to the capture of the problem target point in the building is obtained, and the current blank sequence is used as the fixed-point control benchmark for the capture time under the condition that the monitoring subject triggers the capture, and the capture time of the monitoring subject corresponding to the problem target point in the building is obtained. Combining the above analysis, the capture improvement measures for the monitoring subjects corresponding to the problem target points in the building are obtained.

10. The intelligent building security monitoring system according to claim 1, characterized in that: It also includes a database, which is used to store industrial property data, various industrial property data sets, industrial trajectory data, motion data, physical feature data, capture status data, reference intervals of capture status data and various historical capture quality result values.

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