Labor service management and personnel health detection system based on wearable device

Abstract

The invention discloses a labor service management and personnel health detection system based on wearable equipment. The labor service management and personnel health detection system comprises the wearable equipment and a management platform system connected with the wearable equipment, the wearable device is worn by a front-line construction worker, collects body health data, multi-positioning geographic position data and moving step number data of the wearer in real time to form monitoring data, and transmits the monitoring data to the management platform system; a deep learning algorithm is carried on the management platform system, and the management platform system receives and analyzes various data sent by the wearable device through the deep learning algorithm, and carries out visual display, early warning judgment and early warning information pushing. Meanwhile, the management platform system provides a function of configuring an attendance checking area and a dangerous area corresponding to construction operation safety in a map system integrated at a cloud end. Industrial injury prevention and safety guarantee of first-line construction workers are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of highway engineering informatization, and particularly to a labor management and personnel health detection system based on wearable devices. Background Art

[0002] During the construction process of highway engineering, there are generally characteristics such as long construction lines, many construction operation surfaces, and relatively complex terrains. For example, tunnel construction, slope construction, culvert construction, subgrade construction, etc. The inspection vision is limited, it is difficult to understand and master the physical health status of practitioners in real time, and it is difficult to rescue in a timely manner. Moreover, currently, each participating unit has not formed an effective real-time dynamic management method.

[0003] Existing intelligent bracelet devices do not have products specifically for monitoring the physical health data of front-line construction workers during highway construction. Since front-line construction workers often need to engage in high-intensity physical labor, and during high-intensity physical labor, the physical health data indicators of personnel are quite different from those in the non-exercise state. Existing devices lack the monitoring and identification of physical health data information of front-line construction workers under high-intensity physical labor.

[0004] During the construction process, there are many dangerous areas, and fences are needed to identify and give early warnings when workers approach dangerous areas. Existing technical solutions are mostly applied in enclosed sites. In the highway construction environment with complex construction environments and wide operation surfaces, it is difficult to uniformly manage existing solutions, and it is difficult to implement them in complex open sites with characteristics such as height differences and many obstacles that are common during highway construction.

[0005] Existing products and technical solutions generally only monitor personnel's physical health information or positioning, lacking the technical application combined with labor management. Or although there is monitoring of attendance or positioning functions, there is a lack of monitoring of personnel's physical health indicators. In the front-line construction sites with extremely wide highway work surfaces, it is difficult to detect in a timely manner when personnel have abnormal conditions due to physical reasons, and there has been no application of such technology during highway construction before.

[0006] Attendance plays an extremely important role in the management of the construction process. Site attendance is not only a record of employees' attendance, but also an important means to ensure construction safety and efficiency. The particularity of attendance at the construction site during the expressway construction process lies in its complex environment and large personnel mobility. Existing technical solutions are still insufficient when facing open sites in expressway construction, mainly having the following problems: 1. Since the first-line construction environment during the expressway construction process is generally an open site with a wide coverage area, the construction environment is complex, with many height differences or obstacles, and it is difficult for existing intelligent device products to achieve relatively accurate attendance in such a geographical environment. 2. Due to the complex and changeable construction site environment, employees often need to shuttle between various construction areas. The management and attendance of construction workers are not only time-consuming and laborious, but also prone to misjudgment due to negligence or line of sight obstruction. 3. Without the support of a unified system, the attendance information among different departments often operates independently, making data statistics and analysis extremely cumbersome. 4. Under some irregular operations, behaviors such as asking someone to swipe the card on behalf may pose potential safety hazards, which may not only lead to engineering quality problems but also pose a threat to the personal safety of construction workers. 5. There is a lack of monitoring of personnel health information, making it difficult to detect in a timely manner when construction workers have physical conditions. Summary of the Invention

[0007] The purpose of the present invention is to provide a labor management and personnel health detection system based on wearable devices, realizing the intelligent combination of the safety monitoring of bracelet devices and cloud labor management, and effectively improving the work injury prevention (health) and safety guarantee of front-line construction workers.

[0008] The technical solution adopted by the present invention is: A labor management and personnel health detection system based on wearable devices, which includes wearable devices and a management platform system connected to the wearable devices; the wearable devices are worn by front-line construction workers, and real-time collect the physical health data, geographical location data and movement step data of the wearer to form monitoring data and transmit it to the management platform system; a deep learning algorithm is carried on the management platform system, and the management platform system receives and analyzes various data sent by the wearable devices through the deep learning algorithm and visualizes, warns and determines and pushes warning information. At the same time, the management platform system provides functions of configuring attendance areas and dangerous areas corresponding to construction operation safety in the map system integrated in the cloud.

[0009] Furthermore, the wearable device is equipped with a data monitoring module, a data sending module with multi-network automatic switching, a multi-location module with automatic switching, a fall sensing module, a device removal warning module, and a low battery reminder module; the data monitoring module monitors and collects the health monitoring data and location data of front-line construction workers wearing the device during the construction process in real time; the data sending module with multi-network automatic switching includes 4G, 5G, WIFI, and NB communication units, which cooperate to automatically identify the on-site network status and automatically switch the access network, so as to ensure the timeliness of data transmission of the wearable device in the complex front-line operation environment during highway construction; the multi-location module with automatic switching includes a GPS positioning unit, a base station positioning unit, and a WIFI positioning unit, which combines multiple positioning units to achieve stable and accurate positioning; the fall sensing module is configured to push a fall warning message to the management platform system after the construction worker makes an abnormal large swing; the low battery reminder module is used to push the battery information of the wearable device to the cloud construction labor intelligent management platform system.

[0010] Furthermore, the management platform system is equipped with a warning module, an attendance module, a visualization management module, The warning module is used to receive various data sent by the wearable device worn by front-line construction workers, analyze and make warning judgments according to the customized AI intelligent algorithm, immediately send a warning message to the mobile phone of relevant management personnel when the warning mechanism is triggered, and finally classify and store the various data in the corresponding database. The attendance module is used to divide and set one or more attendance areas in the integrated map of the management platform system, and divide the attendance areas for construction workers or construction teams (through the personnel (team) area division function in the management platform system), and then use the positioning information sent by the wearable device to identify the attendance of construction workers. The visualization management module is displayed in the form of a data dashboard of the map system, and displays the dangerous areas, attendance areas, and personnel information and positioning information of each construction worker set on the real-time monitoring map; at the same time, it uses the customized AI intelligent algorithm combined with the various report information on the dashboard interface to achieve intelligent analysis and decision support for the management of front-line construction workers during highway construction, significantly improving the response speed to relevant warnings in the complex front-line construction sites of highways, and realizing the sharing of labor management-related information among various departments and significantly improving the collaborative work efficiency among various departments.

[0011] Furthermore, the warning information includes: Abnormal warning of physical health index data: The cloud-based intelligent management platform system for construction labor connects to the received physical health data through a customized AI intelligent algorithm for analysis and calculation. When the result exceeds the warning threshold, the cloud-based intelligent management platform system for construction labor will immediately trigger the warning mechanism.

[0012] Danger area warning: By combining a customized AI intelligent algorithm for the conversion and use of the "China Geodetic Coordinate System 2000" dedicated to engineering construction, precise division and setting of irregular danger area fences at the front-line construction sites are achieved in the cloud-integrated map system. At the same time, the cloud system analyzes and converts the positioning information data of the wearable devices received through a customized AI intelligent algorithm to accurately identify and determine whether front-line construction workers enter the danger area fence. When a front-line construction worker wearing a wearable device enters the danger area fence, the intelligent management platform system for construction labor will trigger the danger area warning mechanism.

[0013] Other warnings: including SOS warning, low battery warning, fall warning, and device detachment warning. After the cloud-based intelligent management platform system for construction labor receives relevant data and analyzes and identifies them through a customized AI intelligent algorithm, the warning mechanism will be triggered.

[0014] Furthermore, in the cloud system, the physical health data, positioning information data, attendance data, and labor information data of front-line construction workers are interconnected through the unique identifier of the wearable device, realizing data sharing among multiple departments and serving as a strong basis in the process of construction labor management.

[0015] Furthermore, the wearable device also includes a control circuit board, on which a micro operating system is installed; the control circuit board is connected to a display screen (including warning information prompt), a blood oxygen sensor, a blood pressure sensor, a heart rate sensor, a GPS sensor, a mobile communication unit (i.e., network transmission, SIM card), and a battery; the display screen is used for the human-computer interaction of the wearable device, providing a display terminal interface and a warning information display terminal interface; the blood oxygen sensor is used to monitor blood oxygen in real time and generate blood oxygen monitoring data; the blood pressure sensor is used to monitor blood pressure in real time and generate blood pressure monitoring data; the heart rate sensor is used to monitor heart rate in real time and generate heart rate monitoring data; the GPS sensor is used to monitor the GPS position in real time and generate GPS position monitoring data; the mobile communication unit (i.e., network transmission, SIM card) supports SIM card / WIFI / NB for data transmission; the battery supplies power to each hardware of the wearable device.

[0016] Specifically, the control board, as a feasible implementation, adopts a PCB board, i.e. a printed circuit board (Printed Circuit Board), which integrates a CPU, a running memory (RAM), a system bus, etc. The micro operating system refers to the operating system of a micro device, which runs on the basis of hardware and provides an intermediate interface for related hardware and software. The health monitoring system runs on this basis.

[0017] Furthermore, the management platform system is configured in the cloud.

[0018] Furthermore, the management platform system visualizes the data collected by wearable devices and the labor-related information of construction workers. At the same time, it associates the labor information of construction workers with the wearable devices they wear, and uses the real-time attendance data of wearable devices as a powerful basis for labor management.

[0019] The present invention adopts the above technical solution, monitors the physical status data and location data of construction workers in real time through the bracelet terminal, and sends the monitoring data to the monitoring management system through the 4G (5G, WIFI, NB) network. The monitoring management system receives the physical status data and location data of the construction workers, and performs data analysis according to the "health rule settings" and "fenced areas". According to the data analysis results, the early warning system is activated when the relevant data exceeds the threshold. The early warning system sends the early warning information to the (D1 construction worker) smart bracelet terminal and the (D2 project manager) mobile client. The present invention integrates multi-parameter monitoring methods in the integrated system of the cloud platform to open up the asymmetric information chain, realize the intelligent combination of safety monitoring of wearable devices and cloud-based labor management, and effectively improve the prevention of work-related injuries (health) and safety protection of front-line construction workers. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The present invention is further described in detail below with reference to the accompanying drawings and specific embodiments; Figure 1 A schematic diagram of the workflow of a labor management and personnel health detection system based on wearable devices according to the present invention; Figure 2 This is a schematic diagram of the structural architecture of a labor management and personnel health detection system based on wearable devices of the present invention; Figure 3 This is a schematic diagram of the structure of a wristband device. DETAILED DESCRIPTION

[0021] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application.

[0022] like Figures 1 to 3As shown in one of them, the present invention discloses a labor management and personnel health detection system based on a wearable device, which includes a wearable device and a management platform system connected to the wearable device; the wearable device is worn by front-line construction workers, and real-time collects the physical health data, geographical location data and mobile step data of the wearer to form monitoring data and transmits it to the management platform system; a deep learning algorithm is carried on the management platform system, and the management platform system receives and analyzes various data sent by the wearable device through the deep learning algorithm and visualizes, warns and judges and pushes warning information. At the same time, the management platform system provides functions of configuring attendance areas and dangerous areas corresponding to construction operation safety in the map system integrated in the cloud.

[0023] Further, the wearable device is provided with a data monitoring module, a multi-network automatic switching data sending module, an automatically switching multiple positioning module, a fall sensing module, a device removal warning module and a low battery reminder module; the data monitoring module monitors and collects the health monitoring data and location data of front-line construction workers during the construction process of wearing the device in real time; the multi-network automatic switching data sending module includes 4G, 5G, WIFI and NB communication units, which cooperate to automatically identify the on-site network status and automatically switch the access network to ensure the timeliness of data transmission of the wearable device in the complex front-line operation environment of highway construction; the automatically switching multiple positioning module includes a GPS positioning unit, a base station positioning unit and a WIFI positioning unit, and realizes stable and accurate positioning by combining multiple positioning units; the fall sensing module is configured to push a fall warning message to the management platform system after the front-line construction worker has an abnormal large swing; the low battery reminder module is used to push the battery information of the wearable device to the cloud construction labor intelligent management platform system.

[0024] Further, the management platform system is provided with a warning module, an attendance module, a visualization management module, The warning module is used to receive various data sent by the wearable device worn by front-line construction workers and perform analysis and warning judgment according to the developed and customized AI intelligent algorithm. When the warning mechanism is triggered, it immediately sends a warning message to the mobile phone of relevant management personnel, and finally classifies and stores the various data in the corresponding database; The attendance module is used to divide and set one or more attendance areas in the map integrated in the management platform system, and divide the attendance areas of construction workers or construction teams (through the personnel (team) area division function in the management platform system), and then use the positioning information sent by the wearable device to identify the attendance of construction workers; The visualization management module is presented in the form of a data dashboard of the map system, which monitors in real time the dangerous areas, attendance areas set on the map, as well as the personnel information and positioning information of each construction worker. At the same time, by using the customized AI intelligent algorithm developed in combination with various report information on the dashboard interface, it achieves intelligent analysis and decision support for the management of front-line construction workers during the expressway construction process, significantly improving the response speed to relevant warnings in the complex front-line construction sites of expressways, and realizing the sharing of labor management-related information among various departments and significantly improving the collaborative work efficiency among various departments.

[0025] Furthermore, the warning information includes: Early warning of abnormal physical health index data: The cloud construction labor intelligent management platform system uses the customized AI intelligent algorithm developed to analyze and calculate the received physical health data. When the result exceeds the warning threshold, the cloud construction labor intelligent management platform system will immediately trigger the warning mechanism.

[0026] Dangerous area warning: By combining the customized AI intelligent algorithm developed for the conversion and use of the "China Geodetic Coordinate System 2000" dedicated to engineering construction, it realizes the precise division and setting of the irregular dangerous area fences in the front-line construction sites in the cloud-integrated map system. At the same time, the cloud system uses the customized AI intelligent algorithm developed to analyze and convert the positioning information data received by the wearable device, so as to realize the precise identification and determination of front-line construction workers entering the dangerous area fence. When a front-line construction worker wearing a wearable device enters the dangerous area fence, the construction labor intelligent management platform system will trigger the dangerous area warning mechanism.

[0027] Other warnings: including SOS warning, low battery warning, fall warning and device detachment warning. After the cloud construction labor intelligent management platform system receives the relevant data and analyzes and identifies them through the customized AI intelligent algorithm developed, it triggers the warning mechanism.

[0028] Furthermore, in the cloud system, the physical health data, positioning information data, attendance data and labor information data of front-line construction workers are interconnected through the unique identifier of the wearable device, realizing data sharing among multiple departments and using this as a powerful basis in the process of construction labor management.

[0029] Furthermore, such as Figure 3As shown, the wearable device further includes a control circuit board, on which a micro operating system is installed; the control circuit board is connected to a display screen (including warning information prompt), a blood oxygen sensor, a blood pressure sensor, a heart rate sensor, a GPS sensor, a mobile communication unit (i.e., network transmission, SIM card), and a battery; the display screen is used for the human-computer interaction of the wearable device, providing a display terminal interface and a warning information display terminal interface; the blood oxygen sensor is used for real-time monitoring of blood oxygen and generating blood oxygen monitoring data; the blood pressure sensor is used for real-time monitoring of blood pressure and generating blood pressure monitoring data; the heart rate sensor is used for real-time monitoring of heart rate and generating heart rate monitoring data; the GPS sensor is used for real-time monitoring of the GPS position and generating GPS position monitoring data; the mobile communication unit (i.e., network transmission, SIM card) supports SIM card / WIFI / NB for data transmission; the battery powers each hardware of the wearable device.

[0030] Specifically, as a feasible implementation method, the control circuit board adopts a PCB board, that is, a Printed Circuit Board, which integrates a CPU, a running memory (RAM), a system bus, etc. The micro operating system represents the operating system of a micro device, running on the hardware basis, providing an intermediate interface for relevant hardware and software, and the physical health monitoring system runs on this basis.

[0031] Furthermore, the management platform system is configured in the cloud.

[0032] Furthermore, the management platform system performs visual management on the various data collected by the wearable device, as well as visual management of the labor-related information of construction workers. At the same time, it associates the labor information of construction workers with the wearable devices they wear, and uses the real-time attendance data of the wearable devices as a strong basis for labor management.

[0033] Furthermore, the wearable device real-time monitors the physical state data and location data of construction workers, and sends the monitoring data to the monitoring management system through a 4G (5G, WIFI, NB) network; the monitoring management system receives the physical state data and location data of construction workers, performs data analysis according to the set "health rule settings" and "fenced area" to obtain a data analysis result, and activates the warning system when the data in the data analysis result exceeds the threshold; the warning system sends the warning information to the terminal clients (such as mobile phone clients or computer clients) of the wearers (construction worker D1) and (project manager D2) of the corresponding wearable devices.

[0034] The following will make a detailed description of the specific working principle of the present invention: Specifically, taking the intelligent bracelet device terminal as an example, the intelligent bracelet device terminal is a device that has been specifically optimized for the open construction sites of highway projects, which are numerous, long in line, and wide in area. It is worn by front-line construction workers to collect real-time health data, geographical location data, and movement step data of the wearer. Combining big data and AI algorithms, it can intelligently monitor the health data of front-line construction workers who need to perform high-intensity work, which is different from that of ordinary people, and transmit the data to the cloud system.

[0035] Among them, traditional attendance methods such as turnstiles or on-site installed induction instruments are difficult to implement attendance in the front-line construction sites of highways due to the generally complex terrain environment, or the cost of implementing attendance is relatively high. Compared with traditional attendance methods, this system can achieve attendance without installing additional equipment on-site. Only by wearing the wearable device can attendance recognition be carried out in the attendance area drawn in the map system integrated in the cloud. In addition, the cloud system can also perform visual management on various data collected by the wearable device, as well as visual management of the labor-related information of construction workers. At the same time, it associates the labor information of construction workers with the wearable device they wear, and uses the real-time attendance data of the intelligent bracelet as a strong basis for labor management.

[0036] Through the combination of real-time monitoring by the wearable device and the cloud system, it realizes the intelligent labor management of front-line construction workers in the complex front-line construction environment of highways. Its business process and system structure topology diagram are as follows Figure 1 、 Figure 2 shown.

[0037] Specifically, since most of the front-line construction sites of highways are in remote mountainous areas, there are many areas with poor mobile signal network signals. Therefore, in combination with the actual situation of on-site research in the front-line construction sites, an AI intelligent algorithm and a multi-network automatic switching data sending module are developed and customized for the wearable device to automatically identify the on-site network situation and achieve automatic network switching of 4G (5G, WIFI, NB), so as to ensure the timeliness of data transmission of the wearable device in the complex front-line operation environment of highway construction.

[0038] Due to the generally large height difference and many obstacles in the front-line construction environment during highway construction, and it is found in many on-site research processes that there will be large errors or loss of positioning only relying on the GPS positioning of traditional bracelet devices in such complex geographical environments. The multi-positioning module that can be automatically switched can obtain relevant data of GPS positioning, base station positioning, and WIFI positioning in real time. By developing and customizing an AI intelligent algorithm, it ensures the stability and accuracy of the wearable device to obtain positioning data in the complex front-line construction operation environment during highway construction.

[0039] The fall sensing module is configured such that after an abnormal large swing occurs to the construction worker, the smart bracelet will automatically push a fall warning message to the cloud system, and the cloud system will then push the message to the relevant management personnel. Moreover, this system calculates and analyzes the data through deep learning algorithms to avoid frequent false warnings caused by normal collisions of front-line construction workers during the construction process.

[0040] When the wearable device detachment warning module provides data information to the construction labor intelligent management platform system, and the wearable device is detached by the construction worker, the wearable device uses a customized biometric algorithm to identify whether the smart bracelet is detached, and then sends the information to the cloud construction labor intelligent management platform system, so as to ensure the accuracy of the attendance function of the wearable device.

[0041] The low battery reminder module is used to push the battery information of the wearable device to the cloud construction labor intelligent management platform system. The cloud system analyzes it according to a customized AI intelligent algorithm. If it is judged that the device battery is too low, it will push the information to the wearer, reminding the wearer that the battery of the device worn is too low and needs to be charged.

[0042] Furthermore, during the construction of expressways, it receives in real time various data sent by the wearable devices worn by front-line construction workers, and combines with a customized AI intelligent algorithm to analyze and calculate the received raw data. Finally, according to the analysis results, it realizes the regional attendance recognition of front-line construction workers. At the same time, when the relevant data exceeds the set warning threshold or the wearable device triggers the warning mechanism, the warning system is activated. Finally, the cloud construction labor intelligent management platform system sends the warning information to the (D1 construction worker) smart bracelet terminal and the (D2 project manager) mobile client. At the same time, the cloud system provides a visual display of the data of the wearable device and a visual management of the relevant labor information of front-line construction workers.

[0043] Furthermore, for the data monitoring module for front-line construction workers, since front-line construction workers often need to perform high-intensity physical labor during the expressway construction process, the physical health data during the construction process is different from that of ordinary people. Therefore, after the smart bracelet device in this system monitors and collects the health monitoring data and location data of front-line construction workers wearing the device during the construction process, it calculates and analyzes the original data of blood pressure, blood oxygen, heart rate, and body temperature collected through deep learning algorithms, and finally obtains the monitoring values, and finally sends the data to the cloud construction labor intelligent management platform system.

[0044] Furthermore, the attendance module is targeted at construction workers in the open-site frontline construction environment during highway construction. In this module, managers can divide and set one or more attendance areas through the integrated map system in the cloud-based construction labor intelligent management platform system. Then, construction workers or construction teams can be divided into attendance areas through the personnel (team) area division function in the cloud-based construction labor intelligent management platform system. When construction workers wearing wearable devices enter the attendance area where the division and setting are completed and the attendance recognition function is enabled in the system, the system will perform attendance recognition on the positioning information sent by the wearable devices through a customized AI intelligent algorithm. Ultimately, this is used to achieve the attendance function for multiple personnel and multiple areas of construction workers in the complex frontline construction environment during highway construction.

[0045] Furthermore, the visualization management module is presented in the form of a data dashboard integrated with a map system. By real-time monitoring the dangerous areas, attendance areas set on the map, as well as the personnel information and positioning information of each construction worker, and at the same time using a customized AI intelligent algorithm combined with various report information on the dashboard interface to achieve intelligent analysis and decision support for the management of frontline construction workers during highway construction. At the same time, it significantly improves the response speed to relevant warnings in the complex highway frontline construction site, and realizes the sharing of labor management-related information between departments and significantly improves the collaborative work efficiency between departments.

[0046] The present invention intelligently analyzes and identifies the physical health data of frontline construction workers in special labor conditions different from ordinary users through the Internet of Things (IOT) and edge computing (filtering algorithm and deep learning algorithm). By collecting the monitoring parameter values of the intelligent bracelet, the collected data is real-time uploaded to the cloud system platform via a 5G network, and data such as the blood oxygen, blood pressure, heart rate, body temperature, positioning, and trajectory of frontline construction workers are identified, analyzed, and warned through big data intelligent algorithms, and visual management is provided to managers in the cloud platform system, further empowering the upper-level supervision and scenario control services. By combining the positioning system, it significantly improves the response speed of managers to warnings and the collaborative work efficiency during highway construction. Among them, due to the complex construction environment and generally high labor intensity of frontline construction workers during highway construction, the physical health data parameters are different from those of ordinary people under high-intensity labor. In this system, the monitoring of blood oxygen, blood pressure, heart rate, and body temperature data is specifically converted for the physical health data of frontline construction workers through an independently developed AI intelligent algorithm to meet the monitoring requirements in this specific working environment.

[0047] The present invention does not need to install additional fence sensing equipment at the front-line construction site, and only needs to divide and set the dangerous area in the cloud-integrated map system to accurately associate with the present system. In addition, by combining the conversion and use of the "China Geodetic Coordinate System 2000" used in engineering construction, the cloud-based system allows managers to accurately draw the irregular dangerous area or attendance area fences of the front-line construction site with complex terrain in the cloud-based map system, and at the same time, perform specific analysis and conversion on the positioning information sent by the received wearable device to achieve accurate positioning of the personnel, and finally achieve accurate automatic identification and labor attendance of the front-line construction workers entering the dangerous area. The present invention adopts a combination of base station positioning technology, WIFI positioning technology, waveform full perception technology and Beidou positioning technology, and realizes the analysis and conversion of the positioning data of the China Geodetic Coordinate System 2000 sent by the received wearable device through a specific algorithm of the cloud-based system, improves the accuracy of positioning, ensures that the real-time and accurate positioning of the front-line workers in the complex front-line construction environment during the construction of the highway can be obtained, ensures the control coverage, reduces the control blind spots, enhances the monitoring capability, and provides more data support for the information-based supervision of the entire process of construction operations. After multiple field investigations at frontline construction sites, the present invention combines the feedback from frontline construction workers during use to optimize the functions of wearable devices. Through AI intelligent algorithms, the system automatically adjusts the monitoring frequency of the equipment, further improving the endurance of wearable devices in frontline construction environments.

[0048] The present invention adopts a combination of WIFI, 4G, 5G and NB networks in terms of network connection, and realizes automatic network switching in the front-line construction environment through AI algorithms to ensure that the monitoring data of the bracelet can be transmitted normally in the front-line construction environment with complex terrain. The present invention realizes construction safety supervision and labor attendance supervision for front-line construction workers by combining the algorithm in the cloud platform system to judge the health data warning threshold of the front-line construction workers, set the attendance area and set the dangerous area. At the same time, through the application of technologies such as 5G, artificial intelligence (AI), and the Internet of Things (IOT), penetrate the site of each work area, and combine the cloud management system to realize multi-faceted real-time dynamic management of front-line construction workers, provide data-based decision-making support for the management and control decisions of the front-line construction site, and gradually transform management from relying mainly on experience to relying on data. In the integrated system of the cloud platform, the present invention integrates multi-parameter monitoring means, opens up an asymmetric information chain, realizes the intelligent combination of safety monitoring of wearable devices and cloud labor management, and effectively improves the prevention (health) and safety of work-related injuries of front-line construction workers.

[0049] Obviously, the described embodiments are some but not all of the embodiments of the present application. Without conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. Generally, the components of the embodiments of the present application described and illustrated in the accompanying drawings here can be arranged and designed in various different configurations. Therefore, the detailed description of the embodiments of the present application is not intended to limit the scope of the present application claimed, but merely represents selected embodiments of the present application. All other embodiments obtained by those of ordinary skill in the art based on the embodiments in the present application without creative efforts fall within the scope of protection of the present application.

Claims

1. A labor management and personnel health detection system based on wearable devices, characterized in that: It includes wearable devices and a management platform system connected to the wearable devices; the wearable devices are worn by front-line construction workers to collect the wearer's physical health data, multi-positioned geographic location data and movement step data in real time to form monitoring data and transmit it to the management platform system; the management platform system is equipped with a deep learning algorithm, which receives and analyzes the data sent by the wearable device through the deep learning algorithm and displays it visually, makes early warning judgments and pushes early warning information. At the same time, the map system integrated in the cloud by the management platform system provides the function of configuring attendance areas and dangerous areas corresponding to construction safety.

2. According to claim 1, a labor management and personnel health detection system based on wearable devices is characterized in that: The wearable device is equipped with a data monitoring module, a multi-network automatic switching data sending module, an automatically switching multiple positioning module, a fall sensing module, an equipment removal warning module and a low-battery prompt module; the data monitoring module monitors and collects the health monitoring data and location data of the front-line construction workers wearing the device during the construction process in real time; the multi-network automatic switching data sending module includes 4G, 5G, WIFI and NB communication units, which automatically identify the on-site network status to automatically switch to access the network; the automatically switching multiple positioning module includes a GPS positioning unit, a base station positioning unit and a WIFI positioning unit, and combines multiple positioning units to achieve stable and precise positioning; the fall sensing module is configured to push fall warning information to the management platform system after the construction workers have abnormal and large swings; the low-battery prompt module is used to push the battery information of the wearable device to the cloud management platform system.

3. A labor management and personnel health detection system based on wearable devices according to claim 1 or 2, characterized in that: The management platform system is equipped with an early warning module, an attendance module, and a visual management module; the early warning module is used to receive various data sent by wearable devices worn by front-line construction workers and make early warning judgments. When the early warning mechanism is triggered, the early warning information is immediately sent to the mobile phone of the relevant management personnel. Finally, the various data of the wearable devices are summarized and classified and stored in the corresponding database; The attendance module is used to divide the attendance areas for construction workers or construction teams in the management platform system, so as to identify the attendance of construction workers using the positioning information sent by wearable devices; The visual management module uses the data dashboard of the map system to display the dangerous areas, attendance areas and personnel information and location information of each construction worker set on the map in real time.

4. A labor management and personnel health detection system based on wearable devices according to claim 3, characterized in that: The attendance module is used to divide and set up one or more attendance areas in the map integrated in the management platform system, and then divide the construction workers or construction teams into attendance areas.

5. A labor management and personnel health detection system based on wearable devices according to claim 3, characterized in that: Warning information includes: Health indicator data abnormality warning: The cloud management platform system analyzes and calculates the received health data. When the health data exceeds the warning threshold, the cloud management platform system will immediately trigger the warning mechanism; Dangerous area warning: By converting and using the "China Geodetic Coordinate System 2000" dedicated to engineering construction, the irregular dangerous area fences at the front-line construction sites can be accurately divided and set in the cloud-integrated map system. At the same time, by analyzing and converting the positioning information data received from the wearable device, the front-line construction workers entering the dangerous area fence can be accurately identified and determined; when the front-line construction workers wearing wearable devices enter the dangerous area fence, the management platform system will trigger the dangerous area warning mechanism.

6. A labor management and personnel health detection system based on wearable devices according to claim 3, characterized in that: The warning information also includes SOS warning, low battery warning, fall warning and equipment removal warning. After the cloud management platform system receives the relevant data for analysis and identification, the warning mechanism is triggered.

7. The labor management and personnel health detection system based on wearable devices according to claim 1, characterized in that: In the management platform system, the physical health data, location information data, attendance data and labor information data of front-line construction workers are interconnected through the unique identification of wearable devices, realizing data sharing among multiple departments.

8. The labor management and personnel health detection system based on wearable devices according to claim 1, characterized in that: The wearable device also includes a control board, which is equipped with a micro-operating system; the control board is connected to a display screen, a blood oxygen sensor, a blood pressure sensor, a heart rate sensor, a GPS sensor, a mobile communication unit and a battery; The display screen is used for human-computer interaction of wearable devices, providing a display terminal interface and an early warning information display terminal interface; the blood oxygen sensor is used to monitor blood oxygen in real time and generate blood oxygen monitoring data; the blood pressure sensor is used to monitor blood pressure in real time and generate blood pressure monitoring data; the heart rate sensor is used to monitor heart rate in real time and generate heart rate monitoring data; the GPS sensor is used to monitor GPS location in real time and generate GPS location monitoring data; the mobile communication unit supports mobile data transmission of SIM cards, WIFI transmission and NB data transmission; The battery provides power for various hardware components of the wearable device.

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