Personnel management and control system and method for intelligent construction site safety management

Abstract

The invention relates to the technical field of intelligent construction site management, and discloses a personnel management and control system and method for intelligent construction site safety management, and the system comprises a real-time collection module, a safety evaluation module and an emergency management and control module. The method comprises the following steps: step 1, managing and controlling all personnel to wear smart bracelets and keep an open state before entering a construction site, and connecting a real-time acquisition module with the smart bracelets through a network to collect data in a classified manner; 2, a safety evaluation module performs health evaluation according to the real-time physical health state of the personnel; 3, the safety evaluation module performs abnormity evaluation according to the real-time positioning information of the personnel, and the safety efficiency of the intelligent management and control personnel is high; 4, the safety evaluation module carries out voice recognition according to the real-time communication voice content of the personnel; 5, the emergency management and control module judges the safety state of the personnel in the construction site and is connected with the intelligent bracelet through the network to contact the target personnel or the adjacent personnel, and the real-time communication emergency processing response is rapid.

Description

Technical Field

[0001] The present invention relates to the technical field of smart construction site management, and specifically to a personnel management and control system and method for safety management of smart construction sites. Background Art

[0002] With the rapid development of science and technology, traditional construction site management methods can no longer meet the needs of modern engineering. Smart construction sites integrate advanced information technology, Internet of Things technology, big data analysis and artificial intelligence to achieve real-time monitoring and intelligent management of construction site personnel, equipment, materials and environment, significantly improving the safety level and work efficiency of the construction site. In the construction industry, construction site safety accidents occur frequently, and chaotic personnel management is one of the main causes of these problems. The personnel management method of smart construction sites aims to ensure the safety of every worker through high-tech means, while improving management efficiency and reducing potential safety risks.

[0003] At present, traditional personnel control methods used for construction site safety management mostly rely on manual attendance and supervision. Management efficiency is limited by the degree of manual cooperation. The speed and accuracy of manual information processing are far lower than those of intelligent systems. Key information is updated with lags and poorly transmitted. Due to the lack of instant communication and rapid response mechanisms, once a safety accident occurs, the response and processing speed is slow, making it difficult to control the impact of the accident in a timely and effective manner. Summary of the invention

[0004] 1. Technical issues to be resolved In view of the shortcomings of the prior art, the present invention provides a personnel management and control system and method for smart construction site safety management, which has the advantages of high safety efficiency of intelligent management of personnel and rapid response to real-time communication emergency processing. It solves the problem that traditional personnel management and control methods for construction site safety management have low intelligence level and lack of instant communication and rapid response mechanism.

[0005] (II) Technical solution To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a personnel control system for smart construction site safety management, including a smart bracelet, the smart bracelet is used to monitor the real-time physical health status of personnel, sensor data of the personnel's environment and real-time positioning communication, the system includes a real-time acquisition module, a safety assessment module and an emergency control module; The real-time acquisition module includes a physical fitness monitoring unit, an environmental data unit and a positioning communication unit. The physical fitness monitoring unit is connected to a smart bracelet through a network to collect a health data set, and the health data set includes the real-time physical fitness health status of all personnel. The environmental data unit is connected to a smart bracelet through a network to collect an environmental data set, and the environmental data set includes sensor data of the environment where the personnel are located. The positioning communication unit is connected to a smart bracelet through a network to collect a positioning data set, and the positioning data set includes the real-time communication voice content and real-time positioning information of all personnel. The real-time acquisition module transmits the health data set, the environmental data set and the positioning data set to the safety assessment module through the network; The safety assessment module includes a health assessment unit, an abnormality assessment unit and a speech recognition unit. The health assessment unit generates a physical fitness data set based on the health data set. , the physical fitness data set Including the comparison results of all personnel's physical health data with the physical health data in normal health state and the change trend of all personnel's physical health data during the health assessment period. The abnormal assessment unit analyzes the environment, actual moving speed, actual moving direction and the difference between the actual moving speed and the moving speed of the personnel in normal moving state of each person according to the environmental data set and the positioning data set, and generates a corresponding abnormal data set. The speech recognition unit is equipped with an LSTM deep learning model, which is combined with the positioning data set to identify and filter out key speech content related to unexpected situations on the construction site, forming an emergency event The safety assessment module transmits the physical fitness data group through the network , abnormal data group and emergencies Transmit to the emergency control module; The emergency control module is set with a fixed range of health thresholds and critical height , combined with the physical data set , abnormal data group and emergencies , determine the safety status of personnel on the construction site, and contact the target personnel or nearby personnel through the network connected smart bracelet.

[0006] Preferably, the expression of the health data set is , to Corresponding to the real-time physical health status of each person, Indicates the time point of collecting real-time physical health status. Indicates real-time physical health data, including body temperature, heart rate, current, blood pressure and blood oxygen saturation. The data is numbered from 1 to The target personnel for smart construction site safety management are name.

[0007] Preferably, the expression of the environmental data set is , to The sensor data corresponding to each person's environment in turn includes wind force value and pressure value. Indicates the time point for obtaining a single set of sensor data, numbered from 1 to The target personnel for smart construction site safety management are name.

[0008] Preferably, the expression of the positioning data set is , to Corresponding to each person's real-time communication voice content and real-time positioning information, Indicates the real-time communication voice content. Indicates real-time positioning information, with numbers from 1 to The target personnel for smart construction site safety management are The digital number in the positioning data set, the digital number in the environmental data set and the digital number in the health data set correspond one to one. , environmental datasets and health data sets They all refer to the same person.

[0009] Preferably, the physical fitness data set The calculation formula is as follows:

[0010]

[0011] In the formula, Represents a physical fitness data group, Indicates the physical health data of the human body in a normal healthy state. Indicates the body temperature value of the human body in a normal healthy state. Indicates the heart rate value of the human body in a normal healthy state. Indicates the safe current value passing through the human body under normal health conditions. Indicates the blood pressure value of the human body under normal health conditions. Indicates the blood oxygen saturation of the human body in a normal healthy state. Indicates the health data set Real-time physical health status data of individuals, Indicates that the health data is concentrated at the same time The difference between the real-time physical health data of the personnel and the physical health data in the normal health state, Indicates the fixed duration set for the health assessment cycle in the calculation formula of the physical data group. It indicates the degree of dispersion between the real-time physical health status data of personnel and the physical health data under normal health status within a fixed period of time calculated according to the variance formula, that is, the changing trend of the physical health data of all personnel within the health assessment period.

[0012] Preferably, the abnormal data set The calculation process is as follows: Extract the environment data set The sensor data of the environment where each person is located is The wind force value of the environment where the individual is located is marked as , will The pressure value of the environment where a person is located is marked as ;

[0013]

[0014] In the formula, represents an abnormal data set, Indicates the wind force value under normal moving state. Indicates The ratio of the wind speed value in the environment where the individual is located to the normal wind speed value. Indicates the pressure value under normal moving state. Indicates The ratio of the pressure value of the environment where a person is located to the normal pressure value. Indicates the location of the dataset The location information of each person at the current time point, Indicates the location of the dataset The location information of a person at a time point before the current time point, Indicates the movement distance of the personnel between the current time point and the previous time point, and the unit of measurement is meter. 3 indicates the fixed duration of 3 seconds set for the abnormal evaluation cycle in the calculation formula of the mobile abnormal group. Indicates the speed of personnel movement in a single cycle , the unit of measurement is m / s, Indicates the moving speed of personnel in normal moving state. Indicates the difference between the actual moving speed of a person and the moving speed of a person in a normal moving state. Indicates simultaneous calculation of positioning data set The difference between the actual moving speed of the personnel and the moving speed of the personnel in the normal moving state, Indicates that people are in the horizontal direction The distance of movement on the axis, Indicates that people are in the vertical direction The distance moved on the axis.

[0015] Preferably, the emergency The calculation formula is as follows:

[0016] In the formula, Indicates an emergency. Indicates that the LSTM deep learning model simultaneously identifies and locates the data set The real-time communication voice content of personnel is collected, and the key voice content related to unexpected situations on the construction site is screened out to form emergency events.

[0017] Preferably, the physical fitness data set Exceeding health threshold When the emergency control module determines that the target person is in poor physical health and has electric shock, it will notify nearby personnel to check the target person's status immediately through the network-connected smart bracelet. When there is data in the emergency control module, the emergency control module notifies all personnel through the network connected smart bracelet and organizes emergency management personnel to carry out rescue.

[0018] Preferably, the abnormal data set The ratio of the wind force value of the personnel's environment to the normal wind force value is greater than 1, the ratio of the pressure value of the personnel's environment to the normal pressure value is greater than 1, and the difference between the actual moving speed and the personnel's moving speed under normal moving state is a positive number or Exceeding critical altitude When an emergency occurs, the emergency control module determines that the target person is at risk of falling from a building, and inquires about the target person's status through the network connected smart bracelet, and notifies nearby personnel to check the target person's status immediately.

[0019] A personnel control method for smart construction site safety management includes the following steps: Step 1: Control that all personnel wear smart bracelets and keep them turned on before entering the construction site. The real-time collection module collects data through the network connection smart bracelets to obtain the real-time physical health status of all personnel, sensor data of the personnel's environment, real-time communication voice content and real-time positioning information; Step 2: The safety assessment module performs health assessment based on the real-time physical health status of the personnel, evaluates the comparison results of all personnel's physical health data with the physical health data under normal health conditions, and the change trend of all personnel's physical health data during the health assessment period, and generates the corresponding physical data set. ; Step 3: The safety assessment module performs anomaly assessment based on the real-time positioning information of the personnel, analyzes the environment of each person, the actual moving speed, the actual moving direction, and the difference between the actual moving speed and the moving speed of the person in the normal moving state, and generates the corresponding abnormal data set. ; Step 4: The safety assessment module performs voice recognition based on the real-time communication voice content of personnel, screens out key voice content related to unexpected situations on the construction site, and forms emergency events ; Step 5: The emergency management and control module determines the safety status of personnel on the construction site and contacts the target personnel or nearby personnel through the network-connected smart bracelet.

[0020] Compared with the prior art, the present invention provides a personnel control system and method for smart construction site safety management, which has the following beneficial effects: 1. The present invention controls all personnel to wear smart bracelets before entering the construction site and keep them turned on. The real-time acquisition module connects to the smart bracelet through the network to classify and collect health data sets, environmental data sets and positioning data sets, and obtains the real-time physical health status of all personnel, sensor data of the personnel's environment, real-time communication voice content and real-time positioning information. The safety assessment module is provided with a health assessment unit, an abnormality assessment unit and a voice recognition unit. The health assessment unit calculates and generates a physical data set according to the health data set. , Physical Data Group It includes the comparison results of all personnel's physical health data with the physical health data in normal health status and the change trend of all personnel's physical health data during the health assessment period, so as to facilitate the subsequent rapid judgment of personnel's physical health status, timely detection of health problems and intervention. The abnormal assessment unit analyzes the environment, actual movement speed, actual movement direction and the difference between the actual movement speed and the movement speed of personnel in normal movement status of each person according to the environmental data set and the positioning data set, and generates the corresponding abnormal data set. , monitor in real time whether the construction site workers accidentally fall from the building, rescue the target personnel in time, and intelligently manage the personnel safely and efficiently.

[0021] 2. The present invention sets up an LSTM deep learning model through the speech recognition unit, and then combines the positioning data set to identify and filter out the key speech content related to the unexpected emergency situation at the construction site, forming an emergency To ensure the smooth transmission of key information, the emergency control module is set with a fixed range of health thresholds and critical height , combined with the physical data set , abnormal data group and emergencies , determine the safety status of personnel on the construction site, physical data group Exceeding health threshold When the emergency control module determines that the target person is in poor physical health and has electric shock, it will notify nearby personnel to check the target person's status immediately through the network connected smart bracelet. When there is data in the emergency control module, the emergency control module notifies all personnel through the network connection smart bracelet, reminds all personnel to avoid danger in time, and organizes emergency management personnel to carry out rescue. The ratio of the wind force value of the personnel's environment to the normal wind force value is greater than 1, the ratio of the pressure value of the personnel's environment to the normal pressure value is greater than 1, and the difference between the actual moving speed and the personnel's moving speed under normal moving state is a positive number or Exceeding critical altitude When an emergency occurs, the emergency management module determines that the target person is at risk of falling from a building, and connects to the smart bracelet through the network to inquire about the target person's status, and notifies nearby personnel to check the target person's status immediately. Real-time communication emergency response is rapid. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] Figure 1 It is a schematic diagram of the system flow of the present invention; Figure 2 It is a step diagram of the method of the present invention. DETAILED DESCRIPTION

[0023] 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.

[0024] Since traditional personnel control methods for construction site safety management mostly rely on human attendance and supervision, management efficiency is limited by the degree of manual cooperation. The speed and accuracy of manual information processing are far lower than those of intelligent systems. Key information updates are delayed and transmitted poorly. Due to the lack of instant communication and rapid response mechanisms, once a safety accident occurs, the response and processing speed is slow, making it difficult to effectively control the impact of the accident in a timely manner. Therefore, a personnel control system and method for smart construction site safety management is proposed, including a smart bracelet, which is used to monitor the real-time physical health status of personnel, sensor data of the personnel's environment, and real-time positioning communication. Please refer to Figure 1-Figure 2 ,The system includes a real-time acquisition module, a safety assessment module and an emergency control module; The real-time acquisition module includes a physical fitness monitoring unit, an environmental data unit, and a positioning communication unit. It solves the problem that the traditional personnel control method used for construction site safety management is difficult to achieve continuous and comprehensive data collection. The physical fitness monitoring unit collects health data sets through a network connection to a smart bracelet. The health data set includes the real-time physical fitness and health status of all personnel. The expression of the health data set is , to Corresponding to the real-time physical health status of each person, Indicates the time point of collecting real-time physical health status. Indicates real-time physical health data, including body temperature, heart rate, blood pressure and blood oxygen saturation. The working environment of construction sites is mostly outdoor. The outdoor temperature in hot summer and cold winter will directly affect the body temperature, heart rate, blood pressure and blood oxygen saturation of personnel. Real-time monitoring of personnel's physical health data is the key to controlling personnel safety. Numbers 1 to The target personnel for smart construction site safety management are name; The environmental data unit collects environmental data sets through a network connection to a smart bracelet. The environmental data sets include sensor data of the environment where the personnel are located. The expression of the environmental data set is: , to The sensor data corresponding to each person's environment includes wind force and pressure values. When a person accidentally falls from a building, the environmental wind force value will be obviously abnormal. When the environmental pressure value exceeds the normal range, it means that the person's arm has suffered a huge pressure or impact. Indicates the time point for obtaining a single set of sensor data, numbered from 1 to The target personnel for smart construction site safety management are name; The positioning communication unit collects the positioning data set through the network connection smart bracelet. The positioning data set includes the real-time communication voice content and real-time positioning information of all personnel. The expression of the positioning data set is: , to Corresponding to each person's real-time communication voice content and real-time positioning information, Indicates real-time communication voice content. People can also communicate with each other through smart bracelets, which makes the operation more convenient. Indicates real-time location information. For example, person A is located on the 9th floor of Building 3 at the construction site. The target personnel for smart construction site safety management are The digital number in the positioning data set, the digital number in the environmental data set and the digital number in the health data set correspond one to one. , environmental datasets and health data sets They all represent the same person, and can fully monitor the person's real-time physical health status, real-time communication voice content, and real-time positioning information; The real-time acquisition module transmits the health data set, the environmental data set and the positioning data set to the safety assessment module through the network; The safety assessment module includes a health assessment unit, an abnormality assessment unit and a speech recognition unit. The health assessment unit generates a physical fitness data set based on the health data set. , Physical Data Group It includes the comparison results of all personnel's physical health data with the physical health data in normal health state and the change trend of all personnel's physical health data during the health assessment period. The calculation formula is as follows:

[0025]

[0026] In the formula, Represents a physical fitness data group, Indicates the physical health data of the human body in a normal healthy state. Indicates the body temperature value of the human body in a normal healthy state. Indicates the heart rate value of the human body in a normal healthy state. Indicates the safe current value passing through the human body under normal health conditions. Indicates the blood pressure value of the human body under normal health conditions. Indicates the blood oxygen saturation of the human body in a normal healthy state. Indicates the health data set Real-time physical health status data of individuals, Indicates that the health data is concentrated at the same time The difference between the real-time physical health data of the personnel and the physical health data in the normal health state, Indicates the fixed duration set for the health assessment cycle in the calculation formula of the physical data group. It indicates the degree of dispersion between the real-time physical health status data of personnel and the physical health data under normal health status calculated according to the variance formula within a fixed time, that is, the change trend of the physical health data of all personnel within the health assessment cycle, which is convenient for quick judgment of the physical health status of personnel in the subsequent period, timely rescue of target personnel, and intelligent management and control of personnel with high safety and efficiency; The abnormality assessment unit analyzes the environment, actual movement speed, actual movement direction, and the difference between the actual movement speed and the movement speed of the person in the normal movement state of each person according to the environmental data set and the positioning data set, and generates a corresponding abnormal data set. , the calculation process is as follows:

[0027]

[0028] In the formula, represents an abnormal data set, Indicates the wind force value under normal moving state. Indicates The ratio of the wind speed value in the environment where the individual is located to the normal wind speed value. Indicates the pressure value under normal moving state. Indicates The ratio of the pressure value of the environment where a person is located to the normal pressure value. Indicates the location of the dataset The location information of each person at the current time point, Indicates the location of the dataset The location information of a person at a time point before the current time point, Indicates the movement distance of the personnel between the current time point and the previous time point, and the unit of measurement is meter. 3 indicates the fixed duration of 3 seconds set for the abnormal evaluation cycle in the calculation formula of the mobile abnormal group. Indicates the speed of personnel movement in a single cycle , the unit of measurement is m / s, Indicates the moving speed of personnel in normal moving state. Indicates the difference between the actual moving speed of a person and the moving speed of a person in a normal moving state. Indicates simultaneous calculation of positioning data set The difference between the actual moving speed of the personnel and the moving speed of the personnel in the normal moving state, Indicates that people are in the horizontal direction The distance of movement on the axis, Indicates that people are in the vertical direction The moving distance on the axis can monitor in real time whether the construction site personnel accidentally fall from the building, and rescue the target personnel in time. The intelligent management and control of personnel is safe and efficient. The speech recognition unit is equipped with an LSTM deep learning model, which combines the positioning data set to identify and filter out key speech content related to unexpected situations on the construction site, forming an emergency event , and its calculation formula is as follows:

[0029] In the formula, Indicates an emergency. Indicates that the LSTM deep learning model simultaneously identifies and locates the data set The real-time communication voice content of personnel is screened out to form emergency events related to unexpected situations on the construction site, ensure the smooth transmission of key information, quickly activate emergency plans, and automatically take measures such as cutting off power supply and starting fire protection systems to reduce the impact of sudden accidents on the construction site; The safety assessment module transmits the physical data to , Mobile Exception Group and emergencies Transmit to the emergency control module; The emergency control module sets a fixed range of health thresholds and critical height , combined with the physical data set , abnormal data group and emergencies , determine the safety status of personnel on the construction site, physical data group Exceeding health threshold When the emergency control module determines that the target person is in poor physical health and has electric shock, it will notify nearby personnel to check the target person's status immediately through the network connected smart bracelet. When there is data in the emergency control module, the emergency control module notifies all personnel through the network connection smart bracelet, reminds all personnel to avoid danger in time, and organizes emergency management personnel to carry out rescue, for example, timely cut off the power supply, start the fire protection system, etc. The ratio of the wind force value of the personnel's environment to the normal wind force value is greater than 1, the ratio of the pressure value of the personnel's environment to the normal pressure value is greater than 1, and the difference between the actual moving speed and the personnel's moving speed under normal moving state is a positive number or Exceeding critical altitude When an emergency occurs, the emergency management module determines that the target person is at risk of falling from a building, and connects to the smart bracelet through the network to inquire about the target person's status, and notifies nearby personnel to check the target person's status immediately. Real-time communication emergency response is rapid.

[0030] The above-mentioned personnel control system for smart construction site safety management is implemented by a personnel control method for smart construction site safety management, which includes the following steps: Step 1: Control that all personnel wear smart bracelets and keep them turned on before entering the construction site. The real-time collection module collects data through the network connection smart bracelets to obtain the real-time physical health status of all personnel, sensor data of the personnel's environment, real-time communication voice content and real-time positioning information; Step 2: The safety assessment module performs health assessment based on the real-time physical health status of the personnel, evaluates the comparison results of all personnel's physical health data with the physical health data under normal health conditions, and the change trend of all personnel's physical health data during the health assessment period, and generates the corresponding physical data set. , timely detect health problems and intervene; Step 3: The safety assessment module performs anomaly assessment based on the real-time positioning information of the personnel, analyzes the environment of each person, the actual moving speed, the actual moving direction, and the difference between the actual moving speed and the moving speed of the person in the normal moving state, and generates the corresponding abnormal data set. , intelligent management and control of personnel safety and efficiency, real-time monitoring of whether construction site personnel accidentally fall from the building; Step 4: The safety assessment module performs voice recognition based on the real-time communication voice content of personnel, screens out key voice content related to unexpected situations on the construction site, and forms emergency events , ensure smooth transmission of key information, and quickly initiate emergency plans to reduce the impact of sudden accidents on construction sites; Step 5: The emergency management and control module determines the safety status of personnel on the construction site, and contacts the target personnel or nearby personnel through the network-connected smart bracelet, and the real-time communication emergency response is rapid.

[0031] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A personnel control system for smart construction site safety management, including a smart bracelet, which is used to monitor the real-time physical health status of personnel, sensor data of the personnel's environment and real-time positioning communication, characterized in that: Including real-time acquisition module, safety assessment module and emergency control module; The real-time acquisition module includes a physical fitness monitoring unit, an environmental data unit and a positioning communication unit. The physical fitness monitoring unit is connected to a smart bracelet through a network to collect a health data set, and the health data set includes the real-time physical fitness health status of all personnel. The environmental data unit is connected to a smart bracelet through a network to collect an environmental data set, and the environmental data set includes sensor data of the environment where the personnel are located. The positioning communication unit is connected to a smart bracelet through a network to collect a positioning data set, and the positioning data set includes the real-time communication voice content and real-time positioning information of all personnel. The real-time acquisition module transmits the health data set, the environmental data set and the positioning data set to the safety assessment module through the network; The safety assessment module includes a health assessment unit, an abnormality assessment unit and a speech recognition unit. The health assessment unit generates a physical fitness data set based on the health data set. , the physical fitness data set Including the comparison results of all personnel's physical health data with the physical health data in normal health state and the change trend of all personnel's physical health data during the health assessment period. The abnormal assessment unit analyzes the environment, actual moving speed, actual moving direction and the difference between the actual moving speed and the moving speed of the personnel in normal moving state of each person according to the environmental data set and the positioning data set, and generates a corresponding abnormal data set. , the calculation process is as follows: Extract the environment data set The sensor data of the environment where each person is located is The wind force value of the environment where the individual is located is marked as , will The pressure value of the environment where a person is located is marked as ; In the formula, represents an abnormal data set, Indicates the wind force value under normal moving state. Indicates The ratio of the wind speed value in the environment where the individual is located to the normal wind speed value. Indicates the pressure value under normal moving state. Indicates The ratio of the pressure value of the environment where a person is located to the normal pressure value. Indicates the location of the dataset The location information of each person at the current time point, Indicates the location of the dataset The location information of a person at a time point before the current time point, Indicates the movement distance of the personnel between the current time point and the previous time point, and the unit of measurement is meter. 3 indicates the fixed duration of 3 seconds set for the abnormal evaluation cycle in the calculation formula of the mobile abnormal group. Indicates the speed of personnel movement in a single cycle , the unit of measurement is m / s, Indicates the moving speed of personnel in normal moving state. Indicates the difference between the actual moving speed of a person and the moving speed of a person in a normal moving state. Indicates simultaneous calculation of positioning data set The difference between the actual moving speed of the personnel and the moving speed of the personnel in the normal moving state, Indicates that people are in the horizontal direction The distance of movement on the axis, Indicates that people are in the vertical direction The distance of movement on the axis; The speech recognition unit is equipped with an LSTM deep learning model, which is combined with the positioning data set to identify and filter out key speech content related to unexpected situations on the construction site, forming an emergency event The safety assessment module transmits the physical fitness data group through the network , abnormal data group and emergencies Transmit to the emergency control module; The emergency control module is set with a fixed range of health thresholds and critical height , combined with the physical data set , abnormal data group and emergencies , determine the safety status of personnel on the construction site, and contact the target personnel or nearby personnel through the network connected smart bracelet.

2. A personnel control system for smart construction site safety management according to claim 1, characterized in that: The expression of the health data set is , to Corresponding to the real-time physical health status of each person, Indicates the time point of collecting real-time physical health status. Indicates real-time physical health data, including body temperature, heart rate, current, blood pressure and blood oxygen saturation. The target personnel for smart construction site safety management are name.

3. A personnel control system for smart construction site safety management according to claim 2, characterized in that: The expression of the environmental data set is , to The sensor data corresponding to each person's environment in turn includes wind force value and pressure value. Indicates the time point for obtaining a single set of sensor data, numbered from 1 to The target personnel for smart construction site safety management are name.

4. A personnel control system for smart construction site safety management according to claim 3, characterized in that: The expression of the positioning data set is: , to Corresponding to each person's real-time communication voice content and real-time positioning information, Indicates the real-time communication voice content. Indicates real-time positioning information, with numbers from 1 to The target personnel for smart construction site safety management are The digital number in the positioning data set, the digital number in the environmental data set and the digital number in the health data set correspond one to one. , environmental datasets and health data sets They all refer to the same person.

5. A personnel control system for smart construction site safety management according to claim 4, characterized in that: The physical fitness data set The calculation formula is as follows: In the formula, Represents a physical fitness data group, Indicates the physical health data of the human body in a normal healthy state. Indicates the body temperature value of the human body in a normal healthy state. Indicates the heart rate value of the human body in a normal healthy state. Indicates the safe current value passing through the human body under normal health conditions. Indicates the blood pressure value of the human body under normal health conditions. Indicates the blood oxygen saturation of the human body in a normal healthy state. Indicates the health data set Real-time physical health status data of individuals, Indicates that the health data is concentrated at the same time The difference between the real-time physical health data of the personnel and the physical health data in the normal health state, Indicates the fixed duration set for the health assessment cycle in the calculation formula of the physical data group. It indicates the degree of dispersion between the real-time physical health status data of personnel and the physical health data under normal health status within a fixed period of time calculated according to the variance formula, that is, the changing trend of the physical health data of all personnel within the health assessment period.

6. A personnel control system for smart construction site safety management according to claim 5, characterized in that: The emergency The calculation formula is as follows: In the formula, Indicates an emergency. Indicates that the LSTM deep learning model simultaneously identifies and locates the data set The real-time communication voice content of personnel is collected, and the key voice content related to unexpected situations on the construction site is screened out to form emergency events.

7. A personnel control system for smart construction site safety management according to claim 6, characterized in that: The physical fitness data set Exceeding health threshold When the emergency control module determines that the target person is in poor physical health and has electric shock, it will notify nearby personnel to check the target person's status immediately through the network-connected smart bracelet. When there is data in the emergency control module, the emergency control module notifies all personnel through the network connected smart bracelet and organizes emergency management personnel to carry out rescue.

8. A personnel control system for smart construction site safety management according to claim 7, characterized in that: The abnormal data set The ratio of the wind force value of the personnel's environment to the normal wind force value is greater than 1, the ratio of the pressure value of the personnel's environment to the normal pressure value is greater than 1, and the difference between the actual moving speed and the personnel's moving speed under normal moving state is a positive number or Exceeding critical altitude When an emergency occurs, the emergency control module determines that the target person is at risk of falling from a building, and inquires about the target person's status through the network connected smart bracelet, and notifies nearby personnel to check the target person's status immediately.

9. A personnel control method for smart construction site safety management, characterized in that: The following steps are involved: Step 1: Control that all personnel wear smart bracelets and keep them turned on before entering the construction site. The real-time collection module collects data through the network connection smart bracelets to obtain the real-time physical health status of all personnel, sensor data of the personnel's environment, real-time communication voice content and real-time positioning information; Step 2: The safety assessment module performs health assessment based on the real-time physical health status of the personnel, evaluates the comparison results of all personnel's physical health data with the physical health data under normal health conditions, and the change trend of all personnel's physical health data during the health assessment period, and generates the corresponding physical data set. ; Step 3: The safety assessment module performs anomaly assessment based on the real-time positioning information of the personnel, analyzes the environment of each person, the actual moving speed, the actual moving direction, and the difference between the actual moving speed and the moving speed of the person in the normal moving state, and generates the corresponding abnormal data set. ; Step 4: The safety assessment module performs voice recognition based on the real-time communication voice content of personnel, screens out key voice content related to unexpected situations on the construction site, and forms emergency events ; Step 5: The emergency management and control module determines the safety status of personnel on the construction site and contacts the target personnel or nearby personnel through the network-connected smart bracelet.

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