Key crowd real-time monitoring system based on multi-source big data GIS

Abstract

The invention discloses a key crowd real-time monitoring system based on a multi-source big data GIS (Geographic Information System), which relates to the field of crowd real-time monitoring and comprises a natural environment monitoring and analyzing module, a construction environment analyzing module, a key personnel analyzing module and a key monitoring module, through comprehensive analysis of visibility corresponding to a night construction site, various types of construction instruments corresponding to the night construction site and construction types of constructors, the accuracy of locking key crowds in the night construction site is effectively improved; by monitoring and analyzing the construction actions of the constructors corresponding to the manual construction types in the night construction site, the safety coefficients corresponding to the constructors are obtained, the accuracy of locking the key crowds in the night construction site is further improved, and the accuracy of monitoring the key crowds in the night construction site is directly improved.

Description

Technical Field

[0001] The present application relates to the field of real-time crowd monitoring, and in particular to a real-time monitoring system for key populations based on multi-source big data GIS. Background Art

[0002] In today's society, with the rapid development of science and technology and the growing demand for security, key personnel monitoring technology has become an important means to maintain social stability and ensure public safety. Through video surveillance, face recognition and other technologies, real-time monitoring of key personnel can be achieved to detect abnormal behavior or potential threats in a timely manner. The existing technology still has the following shortcomings; When monitoring construction sites, existing technologies are often unable to accurately find the key populations corresponding to the construction sites, reducing the accuracy and effectiveness of key population detection. When locking in key populations at night construction sites, existing technologies usually ignore the comprehensive consideration of influencing factors such as environmental factors, lighting factors, construction types, and construction site environments, reducing the accuracy of locking in key populations at night construction sites, and thus reducing the accuracy of monitoring key populations at night construction sites. Summary of the invention

[0003] The purpose of the present invention is to provide a real-time monitoring system for key populations based on multi-source big data GIS to solve the problems raised in the above background technology.

[0004] To achieve the above object, the present invention provides the following technical solution: a real-time monitoring system for key populations based on multi-source big data GIS, comprising: Natural environment monitoring and analysis module: monitors and analyzes the environmental conditions corresponding to the target construction site to obtain the environmental information corresponding to the target construction site; Construction environment analysis module: monitors and analyzes the construction environment corresponding to the target construction site to obtain the construction environment threat coefficient corresponding to the target construction site; Key personnel analysis module: used to analyze the behavior of each manual construction worker in the target construction site according to the construction environment threat coefficient corresponding to the target construction site, and obtain the key monitoring population corresponding to the target construction site; Key monitoring module: used to monitor the key monitoring population corresponding to the target construction site, obtain the monitoring results corresponding to the target construction site, and upload the real-time monitoring data corresponding to the target construction site to the cloud.

[0005] In the preferred embodiment of this scheme, the specific implementation method of the natural environment monitoring and analysis module is as follows: The construction environment corresponding to the target construction site is monitored by a preset environmental monitoring device to obtain the air flow rate and temperature corresponding to the target construction site; Establish a plane coordinate system corresponding to the target construction site; Obtaining lighting information corresponding to the target construction site through the lighting plan corresponding to the target construction site, wherein the lighting information includes the coordinate position corresponding to each lighting fixture in the plane coordinate system, the height corresponding to each lighting fixture, and the lighting brightness corresponding to each lighting fixture; The horizontal distance from each lighting fixture to each plane coordinate point is calculated according to the coordinate position of each lighting fixture in the plane coordinate system; By calculating the formula , calculate the visibility coefficient of each coordinate point in the plane coordinate system corresponding to the target construction site ,in It is expressed as the lighting brightness corresponding to each lighting fixture. It is expressed as the horizontal distance from each lighting fixture to each plane coordinate point. It is expressed as the height corresponding to each lighting fixture. , Expressed as the preset lighting brightness attenuation factor, visibility coefficient influencing factor, It is represented by the number of each lighting fixture. Represents the number of each coordinate point, Expressed as the number of lighting fixtures; The air velocity and temperature corresponding to the target construction site and the visibility coefficient of each coordinate point in the plane coordinate system corresponding to the target construction site are recorded as the environmental information corresponding to the target construction site.

[0006] In the preferred embodiment of this scheme, the specific implementation method of the construction environment analysis module is as follows: It is used to obtain the construction plan corresponding to the target construction site and extract the sub-construction plan corresponding to the nighttime construction, wherein the sub-construction plan corresponding to the nighttime construction includes various types of large-scale construction equipment, the number of various types of large-scale construction equipment, various types of manual construction, and the number of construction personnel corresponding to each type of manual construction; Establish a data extraction relationship between the construction environment analysis module and the database, extract the manual construction tools corresponding to various manual constructions stored in the database, the work hazard coefficients and operation difficulty coefficients corresponding to various manual construction tools, screen and obtain the work hazard coefficients and operation difficulty coefficients of the manual construction tools corresponding to various manual constructions, and record them as the work hazard coefficients and operation difficulty coefficients corresponding to various manual constructions; Screen and obtain the work hazard coefficient and operation difficulty coefficient of various manual constructions corresponding to the target construction site; Extract the work hazard coefficients corresponding to various large-scale construction machines stored in the database, and screen and obtain the work hazard coefficients corresponding to various large-scale construction machines for nighttime construction at the target construction site; The target construction site is imaged by an image detection device corresponding to the target construction site to obtain an omnidirectional image corresponding to the target construction site, and the omnidirectional image corresponding to the target construction site is scanned omnidirectionally by a preset contour scanner to establish a contour model corresponding to the target construction site, and the contour model corresponding to the target construction site is matched with the plane coordinate system corresponding to the target construction site to obtain the position coordinates of each large-scale construction equipment and the position coordinates of each manual construction worker in the target construction site; By calculating the formula , calculate the hazard density coefficient corresponding to the target construction site ,in It is expressed as the working hazard coefficient of various large-scale construction machinery. Expressed as the number of various large-scale construction equipment, It is expressed as the work hazard coefficient of various manual construction workers, It is expressed as the number of various manual construction workers, , , They are respectively represented by the preset large-scale construction machinery hazard impact factor, manual construction work hazard coefficient impact factor and hazard density coefficient impact factor. Indicates the number of various large-scale construction equipment. Expressed as the number of types of large construction machinery, Indicates the number of various types of manual construction. Expressed as the number of manual construction types, It is expressed as the area corresponding to the target construction site.

[0007] In the preferred embodiment of this scheme, the specific implementation method of the key personnel analysis module is as follows: Establish a data extraction relationship between the key personnel analysis module and the database, extract the contour models corresponding to various large-scale construction machines and various manual construction machines stored in the database, and extract the standard construction action models corresponding to various manual construction machines; According to the contour models corresponding to various large-scale construction machines and various manual construction machines and the contour model corresponding to the target construction site, various large-scale construction machines and various manual construction workers in the target construction site are identified and matched to obtain the types of various large-scale construction machines and various manual construction workers in the target construction site; By matching the model with the position coordinates of each large-scale construction machine and the position coordinates of each manual construction worker in the target construction site, the type of the large-scale construction machine at each position coordinate in the target construction site, the type of manual construction of the manual construction worker at each position coordinate, and the standard construction action models corresponding to the manual construction worker at each position coordinate are obtained by screening; Continuous image collection of the construction actions of the manual construction workers at each position coordinate is performed through the monitoring system to obtain a set of continuous construction action images corresponding to the manual construction workers at each position coordinate, a continuous action model corresponding to the manual construction workers at each position coordinate is established according to the set of continuous construction action images corresponding to the manual construction workers at each position coordinate, each sub-action model in the continuous action model corresponding to the manual construction workers at each position coordinate is compared and analyzed with various standard construction action models corresponding to the manual construction workers at each position coordinate, the model similarity of each sub-action model in the continuous action model corresponding to the manual construction workers at each position coordinate and various standard construction action models corresponding to the manual construction workers at each position coordinate is obtained, and the maximum model similarity of each sub-action model corresponding to the manual construction workers at each position coordinate is screened; According to the visibility coefficient matching of each coordinate point in the plane coordinate system corresponding to the target construction site, the visibility coefficient corresponding to the manual construction personnel at each position coordinate is obtained; By calculating the formula , calculate the safety factor corresponding to the continuous construction action of the manual construction personnel at each position coordinate, and record it as the corresponding safety factor of the manual construction personnel at each position coordinate ,in It is represented by the maximum model similarity of each sub-action model corresponding to each manual construction worker at each position coordinate, It is expressed as the operation difficulty coefficient of the manual construction personnel at each location coordinate corresponding to the construction type, It is expressed as the visibility coefficient corresponding to the manual construction workers at each position coordinate, , They are respectively represented as the preset maximum model similarity influence factor and safety factor influence factor, It represents the number of the manual construction worker at each location coordinate. It is represented by the label of each sub-action model. It is expressed as the number of sub-action models; The corresponding safety factors of manual construction workers at each position coordinate are compared and analyzed with the preset safety factor warning value. If the corresponding safety factor of manual construction workers at a certain position coordinate is greater than or equal to the preset safety factor warning value, the manual construction workers at the corresponding position coordinates will be recorded as key observation personnel, and the key monitoring population corresponding to the target construction site will be obtained by statistics.

[0008] In the preferred embodiment of this scheme, the specific implementation method of the key monitoring module is as follows: Through the use of various types of environmental monitoring equipment preset at the target construction site, data of the key monitored population corresponding to the target construction site is collected to obtain real-time data of the key monitored population corresponding to the target construction site. The real-time data of the key monitored population corresponding to the target construction site is transmitted to the cloud for real-time analysis to obtain behavioral analysis results of the key monitored population corresponding to the target construction site. The behavioral analysis results of the key monitored population corresponding to the target construction site are recorded as monitoring results corresponding to the target construction site.

[0009] Compared with the prior art, the present invention has the following beneficial effects: The present invention effectively improves the accuracy of locking key groups in night construction sites by comprehensively analyzing the visibility corresponding to night construction sites, various types of construction equipment corresponding to night construction sites, and the types of construction workers; The present invention obtains the corresponding safety factors of the construction workers by analyzing the construction actions of the construction workers corresponding to each type of manual construction at the night construction site, thereby further improving the accuracy of locking the key groups at the night construction site and directly improving the accuracy of monitoring the key groups at the night construction site. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The present invention is further described using the accompanying drawings, but the embodiments in the accompanying drawings do not constitute any limitation to the present invention. A person skilled in the art can obtain other drawings based on the following drawings without creative work.

[0011] Figure 1 This is a schematic diagram of module connection according to an embodiment of the present invention. DETAILED DESCRIPTION

[0012] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0013] See also Figure 1 ,The present invention provides a real-time monitoring system for key populations based on multi-source big data GIS, the method comprising a natural environment monitoring and analysis module, a construction environment analysis module, a key personnel analysis module and a key monitoring module; The natural environment monitoring and analysis module is connected to the key personnel analysis module, the construction environment analysis module is connected to the key personnel analysis module, and the key personnel analysis module is connected to the key monitoring module.

[0014] Natural environment monitoring and analysis module: monitors and analyzes the environmental conditions corresponding to the target construction site to obtain the environmental information corresponding to the target construction site; Furthermore, the specific implementation method of the natural environment monitoring and analysis module is as follows: The construction environment corresponding to the target construction site is monitored by a preset environmental monitoring device to obtain the air flow rate and temperature corresponding to the target construction site; Establish a plane coordinate system corresponding to the target construction site; Obtaining lighting information corresponding to the target construction site through the lighting plan corresponding to the target construction site, wherein the lighting information includes the coordinate position corresponding to each lighting fixture in the plane coordinate system, the height corresponding to each lighting fixture, and the lighting brightness corresponding to each lighting fixture; The horizontal distance from each lighting fixture to each plane coordinate point is calculated according to the coordinate position of each lighting fixture in the plane coordinate system; By calculating the formula , calculate the visibility coefficient of each coordinate point in the plane coordinate system corresponding to the target construction site ,in It is expressed as the lighting brightness corresponding to each lighting fixture. It is expressed as the horizontal distance from each lighting fixture to each plane coordinate point. It is expressed as the height corresponding to each lighting fixture. , Expressed as the preset lighting brightness attenuation factor, visibility coefficient influencing factor, It is represented by the number of each lighting fixture. Represents the number of each coordinate point, Expressed as the number of lighting fixtures; The air velocity and temperature corresponding to the target construction site and the visibility coefficient of each coordinate point in the plane coordinate system corresponding to the target construction site are recorded as the environmental information corresponding to the target construction site.

[0015] Construction environment analysis module: monitors and analyzes the construction environment corresponding to the target construction site to obtain the construction environment threat coefficient corresponding to the target construction site; Furthermore, the specific implementation of the construction environment analysis module is as follows: It is used to obtain the construction plan corresponding to the target construction site and extract the sub-construction plan corresponding to the nighttime construction, wherein the sub-construction plan corresponding to the nighttime construction includes various types of large-scale construction equipment, the number of various types of large-scale construction equipment, various types of manual construction, and the number of construction personnel corresponding to each type of manual construction; Establish a data extraction relationship between the construction environment analysis module and the database, extract the manual construction tools corresponding to various manual constructions stored in the database, the work hazard coefficients and operation difficulty coefficients corresponding to various manual construction tools, screen and obtain the work hazard coefficients and operation difficulty coefficients of the manual construction tools corresponding to various manual constructions, and record them as the work hazard coefficients and operation difficulty coefficients corresponding to various manual constructions; Screen and obtain the work hazard coefficient and operation difficulty coefficient of various manual constructions corresponding to the target construction site; Extract the work hazard coefficients corresponding to various large-scale construction machines stored in the database, and screen and obtain the work hazard coefficients corresponding to various large-scale construction machines for nighttime construction at the target construction site; The target construction site is imaged by an image detection device corresponding to the target construction site to obtain an omnidirectional image corresponding to the target construction site, and the omnidirectional image corresponding to the target construction site is scanned omnidirectionally by a preset contour scanner to establish a contour model corresponding to the target construction site, and the contour model corresponding to the target construction site is matched with the plane coordinate system corresponding to the target construction site to obtain the position coordinates of each large-scale construction equipment and the position coordinates of each manual construction worker in the target construction site; By calculating the formula , calculate the hazard density coefficient corresponding to the target construction site ,in It is expressed as the working hazard coefficient of various large-scale construction machinery. Expressed as the number of various large-scale construction equipment, It is expressed as the work hazard coefficient of various manual construction workers, It is expressed as the number of various manual construction workers, , , They are respectively represented by the preset large-scale construction machinery hazard impact factor, manual construction work hazard coefficient impact factor and hazard density coefficient impact factor. Indicates the number of various large-scale construction equipment. Expressed as the number of types of large construction machinery, Indicates the number of various types of manual construction. Expressed as the number of manual construction types, It is expressed as the area corresponding to the target construction site.

[0016] Key personnel analysis module: used to analyze the behavior of each manual construction worker in the target construction site according to the construction environment threat coefficient corresponding to the target construction site, and obtain the key monitoring population corresponding to the target construction site; Furthermore, the specific implementation method of the key personnel analysis module is as follows: Establish a data extraction relationship between the key personnel analysis module and the database, extract the contour models corresponding to various large-scale construction machines and various manual construction machines stored in the database, and extract the standard construction action models corresponding to various manual construction machines; According to the contour models corresponding to various large-scale construction machines and various manual construction machines and the contour model corresponding to the target construction site, various large-scale construction machines and various manual construction workers in the target construction site are identified and matched to obtain the types of various large-scale construction machines and various manual construction workers in the target construction site; By matching the model with the position coordinates of each large-scale construction machine and the position coordinates of each manual construction worker in the target construction site, the type of the large-scale construction machine at each position coordinate in the target construction site, the type of manual construction of the manual construction worker at each position coordinate, and the standard construction action models corresponding to the manual construction worker at each position coordinate are obtained by screening; Continuous image collection of the construction actions of the manual construction workers at each position coordinate is performed through the monitoring system to obtain a set of continuous construction action images corresponding to the manual construction workers at each position coordinate, a continuous action model corresponding to the manual construction workers at each position coordinate is established according to the set of continuous construction action images corresponding to the manual construction workers at each position coordinate, each sub-action model in the continuous action model corresponding to the manual construction workers at each position coordinate is compared and analyzed with various standard construction action models corresponding to the manual construction workers at each position coordinate, the model similarity of each sub-action model in the continuous action model corresponding to the manual construction workers at each position coordinate and various standard construction action models corresponding to the manual construction workers at each position coordinate is obtained, and the maximum model similarity of each sub-action model corresponding to the manual construction workers at each position coordinate is screened; According to the visibility coefficient matching of each coordinate point in the plane coordinate system corresponding to the target construction site, the visibility coefficient corresponding to the manual construction personnel at each position coordinate is obtained; By calculating the formula , calculate the safety factor corresponding to the continuous construction action of the manual construction personnel at each position coordinate, and record it as the corresponding safety factor of the manual construction personnel at each position coordinate ,in It is represented by the maximum model similarity of each sub-action model corresponding to each manual construction worker at each position coordinate, It is expressed as the operation difficulty coefficient of the manual construction personnel at each location coordinate corresponding to the construction type, It is expressed as the visibility coefficient corresponding to the manual construction workers at each position coordinate, , They are respectively represented as the preset maximum model similarity influence factor and safety factor influence factor, It represents the number of the manual construction worker at each location coordinate. It is represented by the label of each sub-action model. It is expressed as the number of sub-action models; the corresponding safety factor of the manual construction workers at each position coordinate is compared and analyzed with the preset safety factor warning value. If the corresponding safety factor of the manual construction workers at a certain position coordinate is greater than or equal to the preset safety factor warning value, the manual construction workers at the corresponding position coordinate will be recorded as key observation personnel, and the key monitoring population corresponding to the target construction site will be obtained by statistics.

[0017] Key monitoring module: used to monitor the key monitoring population corresponding to the target construction site, obtain the monitoring results corresponding to the target construction site, and upload the real-time monitoring data corresponding to the target construction site to the cloud.

[0018] Furthermore, data of the key monitored population corresponding to the target construction site is collected through various types of environmental monitoring equipment preset at the target construction site to obtain real-time data of the key monitored population corresponding to the target construction site, and the real-time data of the key monitored population corresponding to the target construction site is transmitted to the cloud for real-time analysis to obtain behavioral analysis results of the key monitored population corresponding to the target construction site, and the behavioral analysis results of the key monitored population corresponding to the target construction site are recorded as monitoring results corresponding to the target construction site.

[0019] The above are all preferred embodiments of the present application, and the protection scope of the present application is not limited thereto. Therefore, any equivalent changes made according to the structure, shape, and principle of the present application should be included in the protection scope of the present application.

Claims

1. A real-time monitoring system for key populations based on multi-source big data GIS, characterized by: include: Natural environment monitoring and analysis module: monitors and analyzes the environmental conditions corresponding to the target construction site to obtain the environmental information corresponding to the target construction site; Construction environment analysis module: monitors and analyzes the construction environment corresponding to the target construction site to obtain the construction environment threat coefficient corresponding to the target construction site; Key personnel analysis module: used to analyze the behavior of each manual construction worker in the target construction site according to the construction environment threat coefficient corresponding to the target construction site, and obtain the key monitoring population corresponding to the target construction site; Key monitoring module: used to monitor the key monitoring population corresponding to the target construction site, obtain the monitoring results corresponding to the target construction site, and upload the real-time monitoring data corresponding to the target construction site to the cloud.

2. A real-time monitoring system for key populations based on multi-source big data GIS according to claim 1, characterized in that: The specific implementation method of the natural environment monitoring and analysis module is as follows: The construction environment corresponding to the target construction site is monitored by a preset environmental monitoring device to obtain the air flow rate and temperature corresponding to the target construction site; Establish a plane coordinate system corresponding to the target construction site; Obtaining lighting information corresponding to the target construction site through the lighting plan corresponding to the target construction site, wherein the lighting information includes the coordinate position corresponding to each lighting fixture in the plane coordinate system, the height corresponding to each lighting fixture, and the lighting brightness corresponding to each lighting fixture; The horizontal distance from each lighting fixture to each plane coordinate point is calculated according to the coordinate position of each lighting fixture in the plane coordinate system; By calculating the formula , calculate the visibility coefficient of each coordinate point in the plane coordinate system corresponding to the target construction site ,in It is expressed as the lighting brightness corresponding to each lighting fixture. It is expressed as the horizontal distance from each lighting fixture to each plane coordinate point. It is expressed as the height corresponding to each lighting fixture. , Expressed as the preset lighting brightness attenuation factor, visibility coefficient influencing factor, It is represented by the number of each lighting fixture. Represents the number of each coordinate point, Expressed as the number of lighting fixtures; The air velocity and temperature corresponding to the target construction site and the visibility coefficient of each coordinate point in the plane coordinate system corresponding to the target construction site are recorded as the environmental information corresponding to the target construction site.

3. A real-time monitoring system for key populations based on multi-source big data GIS according to claim 2, characterized in that: The specific implementation method of the construction environment analysis module is as follows: It is used to obtain the construction plan corresponding to the target construction site and extract the sub-construction plan corresponding to the nighttime construction, wherein the sub-construction plan corresponding to the nighttime construction includes various types of large-scale construction equipment, the number of various types of large-scale construction equipment, various types of manual construction, and the number of construction personnel corresponding to each type of manual construction; Establish a data extraction relationship between the construction environment analysis module and the database, extract the manual construction tools corresponding to various manual constructions stored in the database, the work hazard coefficients and operation difficulty coefficients corresponding to various manual construction tools, screen and obtain the work hazard coefficients and operation difficulty coefficients of the manual construction tools corresponding to various manual constructions, and record them as the work hazard coefficients and operation difficulty coefficients corresponding to various manual constructions; Screen and obtain the work hazard coefficient and operation difficulty coefficient of various manual constructions corresponding to the target construction site; Extract the work hazard coefficients corresponding to various large-scale construction machines stored in the database, and screen and obtain the work hazard coefficients corresponding to various large-scale construction machines for nighttime construction at the target construction site; The target construction site is imaged by an image detection device corresponding to the target construction site to obtain an omnidirectional image corresponding to the target construction site, and the omnidirectional image corresponding to the target construction site is scanned omnidirectionally by a preset contour scanner to establish a contour model corresponding to the target construction site, and the contour model corresponding to the target construction site is matched with the plane coordinate system corresponding to the target construction site to obtain the position coordinates of each large-scale construction equipment and the position coordinates of each manual construction worker in the target construction site; By calculating the formula , calculate the hazard density coefficient corresponding to the target construction site ,in It is expressed as the working hazard coefficient of various large-scale construction machinery. Expressed as the number of various large-scale construction equipment, It is expressed as the work hazard coefficient of various manual construction workers, It is expressed as the number of various types of manual construction workers, , , They are respectively represented by the preset large-scale construction machinery hazard impact factor, manual construction work hazard coefficient impact factor and hazard density coefficient impact factor. Indicates the number of various large-scale construction equipment. Expressed as the number of types of large construction machinery, Indicates the number of various types of manual construction. Expressed as the number of manual construction types, It is expressed as the area corresponding to the target construction site.

4. The real-time monitoring system for key populations based on multi-source big data GIS according to claim 3 is characterized by: The specific implementation method of the key personnel analysis module is as follows: Establish a data extraction relationship between the key personnel analysis module and the database, extract the contour models corresponding to various large-scale construction machines and various manual construction machines stored in the database, and extract the standard construction action models corresponding to various manual construction machines; According to the contour models corresponding to various large-scale construction machines and various manual construction machines and the contour model corresponding to the target construction site, various large-scale construction machines and various manual construction workers in the target construction site are identified and matched to obtain the types of various large-scale construction machines and various manual construction workers in the target construction site; By matching the model with the position coordinates of each large-scale construction machine and the position coordinates of each manual construction worker in the target construction site, the type of the large-scale construction machine at each position coordinate in the target construction site, the type of manual construction of the manual construction worker at each position coordinate, and the standard construction action models corresponding to the manual construction worker at each position coordinate are obtained by screening; Continuous image collection of the construction actions of the manual construction workers at each position coordinate is performed through the monitoring system to obtain a set of continuous construction action images corresponding to the manual construction workers at each position coordinate, a continuous action model corresponding to the manual construction workers at each position coordinate is established according to the set of continuous construction action images corresponding to the manual construction workers at each position coordinate, each sub-action model in the continuous action model corresponding to the manual construction workers at each position coordinate is compared and analyzed with various standard construction action models corresponding to the manual construction workers at each position coordinate, the model similarity of each sub-action model in the continuous action model corresponding to the manual construction workers at each position coordinate and various standard construction action models corresponding to the manual construction workers at each position coordinate is obtained, and the maximum model similarity of each sub-action model corresponding to the manual construction workers at each position coordinate is screened; According to the visibility coefficient matching of each coordinate point in the plane coordinate system corresponding to the target construction site, the visibility coefficient corresponding to the manual construction personnel at each position coordinate is obtained; By calculating the formula The safety factor corresponding to the continuous construction action of the manual construction personnel at each position coordinate is calculated and recorded as the corresponding safety factor of the manual construction personnel at each position coordinate ,in It is represented by the maximum model similarity of each sub-action model corresponding to each manual construction worker at each position coordinate, It is expressed as the operation difficulty coefficient of the manual construction personnel at each location coordinate corresponding to the construction type, It is expressed as the visibility coefficient corresponding to the manual construction workers at each position coordinate, , They are respectively represented as the preset maximum model similarity influence factor and safety factor influence factor, It represents the number of the manual construction worker at each location coordinate. It is represented by the label of each sub-action model. It is expressed as the number of sub-action models; The corresponding safety factors of manual construction workers at each position coordinate are compared and analyzed with the preset safety factor warning value. If the corresponding safety factor of manual construction workers at a certain position coordinate is greater than or equal to the preset safety factor warning value, the manual construction workers at the corresponding position coordinates will be recorded as key observation personnel, and the key monitoring population corresponding to the target construction site will be obtained by statistics.

5. A real-time monitoring system for key populations based on multi-source big data GIS according to claim 4, characterized in that: The specific implementation method of the key monitoring module is as follows: Through the use of various types of environmental monitoring equipment preset at the target construction site, data of the key monitored population corresponding to the target construction site is collected to obtain real-time data of the key monitored population corresponding to the target construction site. The real-time data of the key monitored population corresponding to the target construction site is transmitted to the cloud for real-time analysis to obtain behavioral analysis results of the key monitored population corresponding to the target construction site. The behavioral analysis results of the key monitored population corresponding to the target construction site are recorded as monitoring results corresponding to the target construction site.

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