Intelligent integrated industrial safety management system and management method using same

Abstract

The present invention provides an intelligent integrated industrial safety management system and a management method using same, which may be utilized as a next-generation core solution for not only health care of individual workers but also smart intelligent management of workers for companies, by building an integrated network system which enables integrated industrial worker management combined with an artificial intelligence technology, such as non-face-to-face biometric recognition, by using real-time big data on health for each individual industrial safety worker, and provides differentiated and highly reliable real-time health monitoring, and non-face-to-face safety and health care education content information.

Description

Industrial safety intelligent integrated management system and management method therefor

[0001] The present invention relates to an industrial safety intelligent integrated management system and a management method therefor, and more specifically, to an industrial safety intelligent integrated management system and a management method therefor that can utilize real-time health big data of individual industrial safety workers to enable integrated management of industrial workers by integrating artificial intelligence technologies such as non-face-to-face biometric recognition, and that can be utilized as a next-generation core solution for smart worker intelligent management of companies as well as health management of individual workers by establishing an integrated network system that provides differentiated and reliable real-time health monitoring and non-face-to-face safety and health management education content information.

[0002] Various industrial safety accidents occur in industrial sites. In particular, workers are more likely to be injured or cause accidents while performing their work if they work for long hours, do not get enough rest, drink alcohol, or are in poor health.

[0003] Monitoring worker health is a crucial element in industrial settings and one way to reduce accidents. Further research is needed on a comprehensive system that can monitor workers' health in real time to prevent accidents and maintain their health.

[0004] The present invention is intended to solve the above problems, and it is possible to integrate industrial workers by utilizing real-time health big data of each industrial safety worker and artificial intelligence technology such as non-face-to-face biometric recognition, and to provide an integrated network system that provides differentiated and reliable real-time health monitoring and non-face-to-face safety and health management education content information, thereby providing an industrial safety intelligent integrated management system and a management method therefor that can be utilized as a next-generation core solution for smart worker intelligent management of companies as well as health management of individual workers.

[0005] In order to achieve the above-described purpose, an industrial safety intelligent integrated management system according to one embodiment of the present invention includes a kiosk module for collecting worker health information; a smart band for measuring worker biometric information in real time; and a server for transmitting and analyzing worker health information from the kiosk module and worker biometric information from the smart band.

[0006] The above kiosk module includes a worker recognition unit that recognizes workers coming to work, a health information collection unit that measures and collects body temperature, electrocardiogram, and alcohol concentration for workers recognized by the worker recognition unit, a kiosk communication unit that transmits worker health information collected by the health information collection unit to the server, and an entry management unit that displays safety management precautions so that workers must read and repeat the safety management precautions before being allowed to enter the workplace.

[0007] The server includes a server communication unit that receives worker health information transmitted from the kiosk communication unit and worker biometric information transmitted from the smart band, a worker information storage unit that stores information on the worker's department, the worker's work information, and the worker's personal health information, a big data collection unit that collects and databases worker health information, worker biometric information, worker department information, worker's work information, and worker's personal health information transmitted from the server communication unit, and worker information transmitted from the worker information storage unit, a data learning unit that learns about the worker's health information and biometric information by artificial intelligence, an industrial safety analysis unit that analyzes data from the big data collection unit by data learned in the data learning unit to analyze and predict industrial safety, analyze and predict abnormal symptoms of workers, and analyze and predict personal health of workers, a display unit that displays data analyzed and predicted by the industrial safety analysis unit, and an industrial safety processing unit that processes measures for workers by data analyzed and predicted by the industrial safety analysis unit.

[0008] The above smart band is characterized in that the body temperature, heart rate, and blood oxygen concentration of a worker wearing the smart band are measured in real time and transmitted to the server communication unit.

[0009] As described above, the present invention has the advantage of being able to provide a quantitative indicator of industrial safety for an industrial enterprise.

[0010] In addition, the present invention has the advantage of being able to predict occupational safety accidents of workers.

[0011] Figure 1 is a schematic diagram of an industrial safety intelligent integrated management system according to one embodiment of the present invention.

[0012] Figure 2 illustrates a process of an industrial safety intelligent integrated management system according to one embodiment of the present invention.

[0013] Figure 3 is a configuration diagram of a kiosk module according to one embodiment of the present invention.

[0014] Figure 4 is a configuration diagram of a server according to one embodiment of the present invention.

[0015] Figure 5 is a flowchart of a management method by an industrial safety intelligent integrated management system according to one embodiment of the present invention.

[0016] [Explanation of symbols according to drawings]

[0017] 100: Kiosk Module

[0018] 110: Worker Recognition Department

[0019] 120: Health Information Collection Department

[0020] 130: Kiosk Communication Department

[0021] 140: Admission Management Department

[0022] 200: Smart Band

[0023] 300: Server

[0024] 310: Server Communications Department

[0025] 320: Worker Information Storage

[0026] 330: Big Data Collection Department

[0027] 340: Data Learning Department

[0028] 350: Industrial Safety Analysis Department

[0029] 360: Display section

[0030] 370: Industrial Safety Processing Department

[0031] The best embodiment of the present invention is an industrial safety intelligent integrated management system, comprising: a kiosk module for collecting worker health information; a smart band for measuring worker biometric information in real time; and a server for transmitting and analyzing worker health information from the kiosk module and worker biometric information from the smart band.

[0032] The present invention is susceptible to various modifications and embodiments. Specific embodiments are illustrated in the drawings and described in detail in the detailed description. However, this is not intended to limit the present invention to specific embodiments, but rather to encompass all modifications, equivalents, and alternatives falling within the spirit and technical scope of the present invention. Throughout the description of each drawing, similar reference numerals have been used to designate similar components.

[0033] Terms such as first, second, A, and B may be used to describe various components, but these components should not be limited by these terms. These terms are used solely to distinguish one component from another.

[0034] For example, without departing from the scope of the present invention, the first component could be referred to as the second component, and similarly, the second component could also be referred to as the first component. The term "and / or" includes any combination of a plurality of related listed items or any one of a plurality of related listed items.

[0035] When a component is referred to as being "connected" or "connected" to another component, it should be understood that it may be directly connected or connected to that other component, but that there may be other components intervening. Conversely, when a component is referred to as being "directly connected" or "connected" to another component, it should be understood that there are no other components intervening.

[0036] The terminology used in this application is only used to describe specific embodiments and is not intended to limit the present invention. The singular expression includes the plural expression unless the context clearly indicates otherwise. In this application, it should be understood that the terms "comprise" or "have" indicate the presence of a feature, number, step, operation, component, part, or combination thereof described in the specification, but do not preclude the possibility of the presence or addition of one or more other features, numbers, steps, operations, components, parts, or combinations thereof.

[0037] Unless otherwise defined, all terms used herein, including technical or scientific terms, have the same meaning as commonly understood by one of ordinary skill in the art to which this invention pertains. Terms defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant technology, and will not be interpreted in an idealized or overly formal sense unless explicitly defined herein.

[0038]

[0039] Hereinafter, an industrial safety intelligent integrated management system according to an embodiment of the present invention will be described with reference to the drawings. Fig. 1 is a schematic diagram of an industrial safety intelligent integrated management system according to an embodiment of the present invention. Referring to Fig. 1, an industrial safety intelligent integrated management system according to an embodiment of the present invention may be configured to include a kiosk module (100), a smart band (200), and a server (300). Fig. 2 shows a process of an industrial safety intelligent integrated management system according to an embodiment of the present invention. The present invention is a system that measures the body temperature, electrocardiogram, and alcohol concentration of workers going to work at an industrial site by using a kiosk module (100) installed at the main gate or entrance of the industrial site, and prevents workers unfit for work from going to work and sends them to the hospital, and analyzes big data of the worker's health information data measured by the kiosk module (100) and the worker's biometric information data measured by the smart band (200) worn by the worker, by using a server (300) equipped with artificial intelligence, to predict safety accidents at the industrial site in advance.

[0040] The kiosk module (100) recognizes workers and collects their health information. Fig. 3 is a configuration diagram of a kiosk module (100) according to one embodiment of the present invention. Referring to Fig. 3, the kiosk module (100) according to one embodiment of the present invention may be configured to include a worker recognition unit (110), a health information collection unit (120), a kiosk communication unit (130), and an entry management unit (140).

[0041] The worker recognition unit (110) recognizes workers arriving at work. Workers can use their employee ID cards or smart bands (200) with built-in employee ID cards to identify themselves through the worker recognition unit (110). Employee ID cards or smart bands (200) can be equipped with barcodes, QR codes, or RFID chips that can be recognized by a computer, and the worker recognition unit (110) can recognize the worker's identity by recognizing the barcode, QR code, or RFID chip. Furthermore, workers can have their faces recognized by a camera equipped in the worker recognition unit (110), thereby allowing the worker recognition unit (110) to recognize themselves without an employee ID card or smart band (200).

[0042] The health information collection unit (120) measures and collects body temperature, electrocardiogram, and alcohol concentration of the worker recognized by the worker recognition unit (110). When the worker recognition unit (110) recognizes the worker, the health information collection unit (120) is activated. The worker can measure his / her body temperature, electrocardiogram, and alcohol concentration through the health information collection unit (120) before going to work. The health information collection unit (120) includes a body temperature measurement unit for measuring the worker's body temperature, an electrocardiogram measurement unit for measuring the worker's electrocardiogram, and an alcohol concentration measurement unit for measuring the worker's alcohol concentration. The body temperature measurement unit measures the worker's body temperature, and to ensure rapid body temperature measurement, the body temperature measurement unit is equipped with an infrared camera to measure the worker's body temperature using infrared rays emitted by the worker. A worker determined to have a high temperature through the body temperature measurement unit is prohibited from going to work and is recommended to undergo a hospital diagnosis. The electrocardiogram measuring unit measures the worker's electrocardiogram. Rather than the cumbersome method of applying a patch, a simple electrocardiogram measuring device that can measure the electrocardiogram by touching a finger can be used. Since electrocardiogram measurement can diagnose the worker's heart disease or arrhythmia, workers suspected of having arrhythmia based on the electrocardiogram measurement results are analyzed by the server (300) and recommended for hospital diagnosis. The alcohol concentration measuring unit measures the worker's alcohol concentration. The alcohol concentration measuring unit can measure the number of alcohol molecules coming from the worker's exhaled breath using a gas sensor. If the alcohol concentration measuring unit detects that the alcohol concentration exceeds the standard, the worker may be prohibited from going to work.

[0043] The kiosk communication unit (130) transmits the worker health information collected by the health information collection unit (120) to the server communication unit (310) via wireless Internet communication. Wireless Internet communication includes WLAN (Wireless LAN), Wi-Fi (Wireless-Fidelity), Wi-Fi (Wireless Fidelity) Direct, DLNA (Digital Living Network Alliance), WiBro (Wireless Broadband), WiMAX (World Interoperability for Microwave Access), HSDPA (High Speed ​​Downlink Packet Access), HSUPA (High Speed ​​Uplink Packet Access), LTE (Long Term Evolution), LTE-A (Long Term Evolution-Advanced), etc., and the kiosk communication unit (130) transmits and receives data according to at least one wireless Internet communication technology within a range including wireless Internet communication technologies not listed above.

[0044] The entrance management unit (140) manages safety management precautions so that workers must read and repeat the safety management precautions before entering the workplace. The kiosk module (100) is installed at the entrance of the workplace, and only workers who have completed the procedures required by the kiosk module (100) can be allowed to enter the workplace. Safety management precautions regarding clothing and safety helmets required for the workplace are something that workers must always be aware of, and the entrance management unit (140) is equipped with a kiosk display unit so that safety management precautions required for workers are displayed on the kiosk display unit. When the worker repeats the safety management precautions displayed on the kiosk display unit (360) aloud, the voice recognition unit of the entrance management unit (140) can recognize the worker's voice and then allow the worker to enter the workplace. The entrance management unit (140) is authorized to manage the gate where the kiosk module (100) is located, and transmits a control command to the gate to open and close the gate so that only workers who have read the safety management precautions in the entrance management unit (140) can enter.

[0045] The server (300) receives and analyzes worker health information from the kiosk module (100) and worker biometric information from the smart band (200). Fig. 4 is a configuration diagram of the server (300) according to one embodiment of the present invention. Referring to Fig. 4, the server (300) according to one embodiment of the present invention may be configured to include a server communication unit (310), a worker information storage unit (320), a big data collection unit (330), a data learning unit (340), an industrial safety analysis unit (350), a display unit (360), and an industrial safety processing unit (370).

[0046] The server communication unit (310) receives worker health information transmitted from the kiosk communication unit (130) and worker biometric information transmitted from the smart band (200) via wireless Internet communication. The server communication unit (310) uses the same wireless Internet communication technology as the kiosk communication unit (130) described above.

[0047] The worker information storage unit (320) stores information about the worker's department, work, and personal health. To analyze the worker's health and biometric information in the industrial safety analysis unit (350), the analysis is performed by linking the worker's department, work, and personal health information. For example, if a worker suspected of having arrhythmia or heart disease is scheduled to perform work requiring a lot of muscle strength, the worker's health may be at risk or there may be a risk of a safety accident. Therefore, the information stored in the worker information storage unit (320) is a crucial element in industrial safety analysis.

[0048] The big data collection unit (330) collects and databases worker health information, worker biometric information, worker department information, worker work information, and worker personal health information transmitted from the server communication unit (310), and worker information storage unit (320). The big data collection unit (330) can sort sporadically transmitted worker health information and worker biometric information by time based on worker information. Through the big data collection unit (330), department information, work information, personal health information, and worker health information are sorted for each worker, and worker biometric information transmitted in real time is sorted in time series.

[0049] In addition, the big data collection unit (330) can collect safety accident (disaster safety, facility safety, accident safety, etc.) data from the open API (Application Programming Interface) of the public data platform (Data.go.kr) operated by the Ministry of the Interior and Safety, a government agency, and compile big data.

[0050] The data learning unit (340) uses artificial intelligence to learn about workers' health and biometric information. For the industrial safety analysis unit (350) to analyze data from the big data collection unit (330), the worker's health and biometric information must first be learned by artificial intelligence. The artificial intelligence performs pre-learning on workers' health information, such as body temperature, electrocardiogram, and alcohol concentration, and biometric information, such as heart rate and oxygen saturation concentration. The artificial intelligence of the present invention may use a CNN algorithm or an RNN algorithm.

[0051] The industrial safety analysis unit (350) analyzes the data of the big data collection unit (330) based on the data learned by the data learning unit (340) to analyze and predict industrial safety, analyze and predict abnormal symptoms of workers, and analyze and predict the personal health of workers. The industrial safety analysis unit (350) can determine whether the health information and biometric information of workers are suitable for the industrial site, and can analyze and predict industrial safety, analyze and predict abnormal symptoms of workers, and analyze and predict the personal health of workers based on the determined data. Workers with health problems may be prohibited from going to work and recommended for hospital diagnosis based on the data analyzed by the industrial safety analysis unit (350). The industrial safety analysis unit (350) can comprehensively determine the worker's body temperature, electrocardiogram, alcohol concentration, heart rate, saturated oxygen concentration, and the worker's department information, work information, and personal health information using its own artificial intelligence algorithm, thereby predicting whether the worker is unsuitable for the task or has the possibility of a safety accident.

[0052] The display unit (360) displays data analyzed and predicted by the industrial safety analysis unit (350), and the manager can check data on each worker through the display unit (360). The manager can use the display unit (360) as a situation board for the workers, and can prevent safety accidents and manage employees by understanding the situation of all workers and taking necessary measures based on the information updated on the display unit (360). The manager can take necessary measures for workers classified as dangerous by the industrial safety analysis unit (350) among the worker information displayed through the display unit (360).

[0053] The Industrial Safety Processing Unit (370) processes actions for workers based on data analyzed and predicted by the Industrial Safety Analysis Unit (350). Managers can take action on workers requiring action through the Industrial Safety Processing Unit (370). The Industrial Safety Processing Unit (370) can send text messages to workers requiring action, or notify them of the actions via the terminal of the department to which the worker belongs. Furthermore, the Industrial Safety Processing Unit (370) transmits a control command to the Entry Management Unit (140) regarding workers requiring entry restrictions, thereby preventing them from passing through the gate.

[0054] The server further includes a weighting unit that distinguishes between workers working indoors and outdoors and assigns weights when analyzing and predicting abnormal symptoms of workers working outdoors and analyzing and predicting the workers' personal health in the industrial safety analysis unit (350). Workers working outdoors are exposed to dangerous situations in outdoor sites, the summer heat, and the winter cold wave. Therefore, when the industrial safety analysis unit (350) analyzes and predicts abnormal symptoms of workers and analyzes and predicts the workers' personal health, it is necessary to distinguish between workers working indoors and workers working outdoors. The weighting unit determines whether the worker's work location is indoors or outdoors based on the worker's department information and work information stored in the worker information storage unit (320), and assigns weights to the worker's personal health information when the worker works outdoors. For example, the blood pressure and electrocardiogram data of workers working outdoors can be given a weight of 10 to 20% and transmitted to the industrial safety analysis unit (350), and the data of the workers given the weights are processed in the industrial safety analysis unit (350) with the weights given, so that the probability of analyzing or predicting abnormal symptoms for workers working outdoors increases even under the same conditions. In addition, the server may further include a weighting unit linked to age, and the age-linked weighting unit can divide the workers into 20s, 30s, 40s, 50s, and 60s or older and set the weights of the blood pressure and electrocardiogram data of the workers to increase as the workers get older. For example, a weight of 5% is given to workers in their 20s, a weight of 10% to workers in their 30s, a weight of 15% to workers in their 40s, a weight of 20% to workers in their 50s, and a weight of 25% to workers in their 60s or older, so that industrial safety predictions can be made more carefully for older workers.

[0055] The smart band (200) measures the body temperature, heart rate, and blood oxygen concentration of a worker wearing the smart band (200) in real time and transmits the measured data to the server communication unit (310). Since the worker's health information collected through the health information collection unit (120) is one-time information collected upon arrival at work, the smart band (200) measures the worker's biometric information, such as body temperature, heart rate, and blood oxygen concentration, in real time and transmits the measured data to the server communication unit (310) in order to detect any health abnormalities that may occur during the worker's work. In addition, the worker can check the processed data transmitted from the industrial safety processing unit (370) through the smart band (200).

[0056]

[0057] Hereinafter, a management method using an industrial safety intelligent integrated management system according to one embodiment of the present invention will be described with reference to drawings. Figure 5 is a flowchart of the management method using an industrial safety intelligent integrated management system according to one embodiment of the present invention. Referring to Figure 5, the management method using an industrial safety intelligent integrated management system according to one embodiment of the present invention can be comprised of the following five steps.

[0058] Step 1 (S10): A step in which a worker is recognized by a worker recognition unit (110) and health information such as the worker's body temperature, electrocardiogram, and alcohol concentration is collected by a health information collection unit (120).

[0059] Step 2 (S20): The step where the worker's health information is transmitted to the server (300) and analyzed by the industrial safety analysis department (350).

[0060] Step 3 (S30): Workers who are found to have an abnormality by the Industrial Safety Processing Department (370) are prohibited from going to work, and workers who are not found to have an abnormality are required to read the safety management precautions and enter the workplace.

[0061] Step 4 (S40): A step in which the body temperature, heart rate, and blood oxygen concentration of a worker on duty are transmitted to a server (300) by a smart band (200) and analyzed by the industrial safety analysis department (350).

[0062] Step 5 (S50): The step where a hospital diagnosis is recommended for workers found to have abnormalities by the Industrial Safety Processing Department (370).

[0063] In the first step (S10), after the worker identification unit (110) recognizes a worker who has arrived at work, the health information collection unit (120) measures the worker's body temperature, electrocardiogram, and alcohol concentration to collect health information. Workers arriving at work bring their employee ID card or have the worker identification unit (110) recognize a smart band (200) with a built-in employee ID card. Workers identified by the worker identification unit (110) have their body temperature, electrocardiogram, and alcohol concentration sequentially measured by the health information collection unit (120). Workers with a high temperature as measured by the body temperature are prevented from entering the workplace by the industrial safety processing unit (370). Since an electrocardiogram can detect arrhythmia or heart disease, workers with poor electrocardiogram results can be excluded from work with high physical intensity by the industrial safety analysis unit (350) and the industrial safety processing unit (370). Workers suspected of being intoxicated as measured by the alcohol concentration can be prevented from entering the workplace by the industrial safety processing unit (370).

[0064] In the second step (S20), the worker's health information collected by the health information collection unit (120) is transmitted to the server (300), and the worker's health information is analyzed by the industrial safety analysis unit (350). The worker's body temperature, electrocardiogram, and alcohol concentration data collected by the health information collection unit (120) are transmitted to the server communication unit (310) through the kiosk communication unit (130). The big data collection unit (330) creates a database of the worker's department information, the worker's work information, and the worker's personal health information in the worker information storage unit (320), and the worker's health information transmitted to the server communication unit (310), and transmits the database to the industrial safety analysis unit (350). The industrial safety analysis unit (350) analyzes the data transmitted by the big data collection unit (330) based on the data learned by the data learning unit (340), thereby analyzing and predicting industrial safety, analyzing and predicting abnormal symptoms of the worker, and analyzing and predicting the worker's personal health. The results analyzed and predicted in the industrial safety analysis unit (350) are displayed on the display unit (360).

[0065] In the third step (S30), workers who are found to have an abnormality by the industrial safety processing unit (370) are prevented from going to work, and workers who are found to have no abnormality are allowed to read the safety management precautions and enter the workplace. The industrial safety processing unit (370) may prevent workers who have a high temperature, arrhythmia or suspected heart disease, or high alcohol content from going to work or recommend a hospital diagnosis based on the results analyzed by the industrial safety analysis unit (350). The industrial safety processing unit (370) may transmit the results to the worker's smart band (200) or to the terminal of the department in which the worker works. Workers who are prevented from going to work by the industrial safety processing unit (370) are prevented from entering the workplace by the entry management unit (140) and cannot pass through the gate. Workers who are found to have no abnormality are allowed to read and read the precautions for clothing and safety helmets or safety management precautions displayed on the kiosk display unit (360). The voice recognition unit recognizes this and opens the gate to allow the worker to enter the workplace.

[0066] In the fourth step (S40), the body temperature, heart rate, and blood oxygen concentration of the worker on duty are measured by the smart band (200), and the measured body temperature, heart rate, and blood oxygen concentration data are transmitted to the server (300) and analyzed by the industrial safety analysis unit (350). Even if the worker's health information has already been measured by the health information collection unit (120), the worker may develop abnormal symptoms during work, so the worker's body temperature, heart rate, and blood oxygen concentration are measured in real time by the smart band (200) worn by the worker and transmitted to the server communication unit (310). The worker's bio-information data is databased by the big data collection unit (330), and the industrial safety analysis unit (350) analyzes the data transmitted from the big data collection unit (330) based on the data learned by the data learning unit (340) to analyze and predict industrial safety, analyze and predict abnormal symptoms of the worker, and analyze and predict the worker's personal health. The results analyzed and predicted in the industrial safety analysis unit (350) are displayed on the display unit (360).

[0067] In Step 5 (S50), the Industrial Safety Processing Unit (370) recommends a hospital diagnosis to workers who have been found to have an abnormality. If an abnormality is detected in the worker's body temperature, heart rate, or blood oxygen concentration measured by the smart band (200), the Industrial Safety Processing Unit (370) can notify the worker of the abnormality via the worker's smart band (200) or the terminal of the department in which the worker works, and recommend that the worker stop work and seek medical attention.

[0068]

[0069] The present invention is not limited to the above-described embodiments, but can be manufactured in a variety of different forms. Those skilled in the art will appreciate that the present invention can be implemented in other specific forms without altering the technical spirit or essential characteristics of the present invention. Therefore, the embodiments described above should be understood as illustrative in all respects and not restrictive.

[0070] The present invention utilizes real-time health big data of individual industrial safety workers to enable integrated management of industrial workers by integrating artificial intelligence technologies such as non-face-to-face biometric recognition, and establishes an integrated network system that provides differentiated, reliable real-time health monitoring and non-face-to-face safety and health management education content information. It can be utilized as a next-generation core solution for smart worker intelligent management of companies as well as health management of individual workers, and is applicable industrially.

Claims

1. Kiosk module where workers’ health information is collected; A smart band that measures workers' biometric information in real time; and An industrial safety intelligent integrated management system including a server through which worker health information is transmitted from the kiosk module and worker biometric information is transmitted from the smart band and analyzed.

2. In claim 1, The above kiosk module, Worker recognition department where workers going to work are recognized, A health information collection unit that measures and collects body temperature, electrocardiogram, and alcohol concentration for workers recognized in the above worker recognition unit. A kiosk communication unit in which worker health information collected from the above health information collection unit is transmitted to the above server, and An industrial safety intelligent integrated management system including an entry management unit that manages safety management precautions so that workers can enter the workplace only after reading and repeating the safety management precautions displayed.

3. In claim 2, The above server, A server communication unit that receives worker health information transmitted from the above kiosk communication unit and worker biometric information transmitted from the above smart band; A worker information storage unit that stores information on the worker's department, work information, and personal health information. The worker health information, worker biometric information, worker department information, worker work information and worker personal health information transmitted from the above server communication unit are collected and stored in a database, and the big data collection unit collects open API safety accident data from the public data portal site (Data.go.kr) operated by the Ministry of the Interior and Safety, a government agency, and compiles big data. Data learning department where workers' health information and biometric information are learned through artificial intelligence. An industrial safety analysis department in which data from the big data collection department is analyzed by data learned from the data learning department to perform analysis and prediction of industrial safety, analysis and prediction of abnormal symptoms of workers, and analysis and prediction of personal health of workers. A display section where data analyzed and predicted by the above industrial safety analysis section is displayed, and An industrial safety intelligent integrated management system including an industrial safety processing unit in which measures for workers are processed based on data analyzed and predicted by the industrial safety analysis unit.

4. In claim 3, An industrial safety intelligent integrated management system characterized in that the server further includes a weighting unit that allows the industrial safety analysis unit to analyze and predict abnormal symptoms of workers working outdoors and to assign weights when analyzing and predicting worker health by distinguishing between workers working indoors and workers working outdoors.

5. In claim 4, An industrial safety intelligent integrated management system characterized in that the body temperature, heart rate, and blood oxygen concentration of a worker wearing the smart band are measured in real time and transmitted to the server communication unit.

6. In the management method by the industrial safety intelligent integrated management system of claim 5, A first step in which a worker is recognized by the worker recognition unit and health information such as body temperature, electrocardiogram, and alcohol concentration of the worker is collected by the health information collection unit; A second step in which the worker's health information is transmitted to the server and analyzed by the industrial safety analysis department; The third step is for workers who are found to have an abnormality by the above industrial safety department to be prevented from going to work, and for workers who are not found to have an abnormality to recite safety management precautions and enter the workplace; A fourth step in which the worker's body temperature, heart rate, and blood oxygen concentration bio-information is transmitted to the server by the smart band and analyzed by the industrial safety analysis department; and A management method by an industrial safety intelligent integrated management system, including a fifth step in which a hospital diagnosis is recommended to a worker in whom an abnormality is found by the industrial safety processing department.

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