KR101866677B1 - Safety management system in construction site based on wearable devices and method thereof - Google Patents

Safety management system in construction site based on wearable devices and method thereof Download PDF

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KR101866677B1
KR101866677B1 KR1020170001807A KR20170001807A KR101866677B1 KR 101866677 B1 KR101866677 B1 KR 101866677B1 KR 1020170001807 A KR1020170001807 A KR 1020170001807A KR 20170001807 A KR20170001807 A KR 20170001807A KR 101866677 B1 KR101866677 B1 KR 101866677B1
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worker
score
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한승우
김태영
이지형
탁현경
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인하대학교 산학협력단
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Abstract

The present invention relates to a safety management system in a construction site based on a wearable device and a method thereof. The safety management system in the construction site comprises: a wearable device which is mounted on the body of a worker, measures health data including temperature, heart rate, blood pressure, oxygen saturation, and pressure of the feet of the worker through a plurality of sensors, and collects location information and altitude information of the worker in real time; a risk management server which compares the measured health data with a reference value set for each item to calculate a risk score, and calculates a fall risk score of the worker using the location information and the altitude information; and a safety management server which applies a weighted value according to the characteristics of the worker, weather, and a construction site environment for each health data item, sums risk scores, to which the weighted value is applied, to calculate a total risk point, and transmits a notification signal to a connected smart device or an external rescue organ according to a risk step corresponding to the calculated total risk point. According to the present invention, since a safety manager can easily recognize the risk degree of a health state of a worker through a risk index, and thus, it is possible to more efficiently manage a construction site by arranging a work in a workplace after determining whether the worker is able to work.

Description

FIELD OF THE INVENTION [0001] The present invention relates to a safety management system in a construction site based on wearable devices,

The present invention relates to a safety management system and method for a construction site based on a wearable device, and more particularly, to a safety management system for a construction site that detects wearable wearable devices and detects an occurrence of an accident, To a safety management system in a construction site based on a wearable device and a method thereof.

As the size and complexity of construction sites progress, the importance of safety management in construction sites is increasing. Especially, safety management at the construction site is closely related to the delays of the construction period and is one of the important factors that determine the increase of the construction amount accordingly.

However, in the present construction site, the standard of safety rules prescribed is vague and different from company to company, and proper safety management is not performed. Accidents at the construction site are classified into safety accidents caused by falls, carelessness, and accidents caused by workers' physical changes. Although safety accidents are prevented through safety education, wearing of safety equipment, and installation of safety facilities, existing safety management methods are practically taking too long, which may lead to problems in the process. In addition, it is not easy to predict the accident caused by the physical change of the worker and to prepare measures for prevention. That is, since it is possible to check the blood pressure of the workers only before entering the morning, it is impossible to judge the risk of the body change after the worker is put into the field.

Therefore, there is a need for a system that allows the safety manager to recognize the risk of accident and the health status of the workers and to determine the workability and to manage the workers through decision making such as rest and job exclusion.

The technology which is the background of the present invention is disclosed in Korean Patent No. 10-0928028 (published on Nov. 24, 2009).

SUMMARY OF THE INVENTION The present invention provides a safety management system in a construction site based on a wearable device for detecting a health condition and an accident occurrence through a wearable device worn by a worker and transmitting a notification signal according to a risk level .

According to an embodiment of the present invention, a safety management system in a construction site includes a body temperature, heart rate, blood pressure, oxygen saturation, and pressure of both feet of a worker through a plurality of sensors mounted on a body of a worker And the health data measured is compared with a reference value set for each item to calculate a risk score, and the position information and the altitude information are used A risk management server for calculating the risk score of the worker, and a risk score calculation unit for calculating a risk total score by applying the weights according to the characteristics, weather, and the construction site environment of each worker for each health data item, The smart device associated with the risk level corresponding to the calculated total risk score And a safety management server for transmitting a notification signal to an external rescue organization.

Wherein the risk management server estimates that the worker is in a risk of falling if the change in altitude information of the employee is larger than the reference change value and the rate of change in the altitude information is greater than the speed of the moving means in the construction site The risk score can be calculated.

The safety management server estimates that the worker is in an emergency state when the risk of falling is high or the oxygen saturation is lower than the reference value if the measured pressure of the feet is lower than the reference value, The emergency signal including the emergency signal can be transmitted to the terminal of the safety manager.

The risk management server classifies the health data item into a normal range, a warning range, and a risk range. The normal range and the danger range are determined based on a specific risk score, and the warning range is determined according to the degree A proportional risk score can be calculated.

The safety management server can calculate the risk total score (D) by applying the risk score calculated for each item to the following equation.

Figure 112017001485044-pat00001

Here, D 1 is a systolic blood pressure risk, D 2 is a diastolic blood pressure risk, D 3 is the body temperature risk, D 4 is the heart rate risk, p 1, p 1, p 3 is a weight for each blood pressure, body temperature, heart rate, D T is D H is the risk of falling, D O is the choking risk, D F is the risk of dual pressure.

Wherein the safety management server transmits a notification signal including personal information, a detailed risk item, a score, and a current position of the employee to the terminal of the safety manager when the total risk point is equal to or less than the first threshold value, A risk signal is transmitted to a terminal of the safety manager and a terminal of an employee located at a position adjacent to the accident occurrence point, and when the risk total score is greater than the first threshold value and less than or equal to the second threshold value, If the emergency notification signal is larger than the threshold value 2, it is assumed that an accident occurs in the worker and it is assumed that the emergency is a dangerous situation. The notification signal is transmitted to the terminal of the worker located adjacent to the terminal of the safety manager, Can be transmitted.

According to another embodiment of the present invention, there is provided a safety management method using a construction site safety management system including a wearable device, a risk management server, and a safety management server, wherein the wearable device includes a plurality of sensors mounted on a body of a worker Measuring health data including the body temperature, heart rate, blood pressure, oxygen saturation and pressure of both feet of the worker and collecting position information and altitude information of a worker in real time; Calculating a risk score using the position information and the altitude information, and calculating a risk score of the employee based on the health data item; , We apply the set weight according to the construction site environment, Summing the score and calculating a risk score, and a step of transmitting the notification to the external device or smart structure in accordance with the engine signal associated risk step corresponding to the calculated risk score.

According to the present invention, since the safety manager can easily recognize the risk of the health condition of the workers through the risk index, it is possible to determine the workability of each worker and arrange it in the worksite to manage the construction site more efficiently have.

Further, according to the present invention, when a worker is in a dangerous situation, the situation of the worker can be estimated through the health risk index or the accident risk index, so that quick rescue work and emergency treatment can be performed.

1 is a block diagram of a safety management system according to an embodiment of the present invention.
2 is a flowchart illustrating a method for managing safety of a safety management system according to an embodiment of the present invention.
3 is an exemplary diagram illustrating a risk graph for each health data item according to an embodiment of the present invention.
4 is a diagram for explaining a notification signal transmission process according to an exemplary embodiment of the present invention.
5 is an exemplary diagram for explaining a notification signal transmitted to a safety manager according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings, which will be readily apparent to those skilled in the art. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In order to clearly illustrate the present invention, parts not related to the description are omitted, and similar parts are denoted by like reference characters throughout the specification.

Throughout the specification, when an element is referred to as "comprising ", it means that it can include other elements as well, without excluding other elements unless specifically stated otherwise.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art can easily carry out the present invention.

1 is a block diagram of a safety management system according to an embodiment of the present invention.

1, the safety management system according to an embodiment of the present invention includes a wearable device 100, a risk management server 200, and a safety management server 300. As shown in FIG.

First, the wearable device 100 shows a device in which a plurality of sensors are built in or mounted, and which can be mounted on the body of a worker.

The wearable device 100 includes sensors for measuring blood pressure, body temperature and heart rate, which are health data of a worker required for safety management in a construction site, and sensors capable of detecting position and altitude.

These sensors can be used to measure the pressure in a non-contact infrared thermometer (available in 3V and 5V versions), a blood pressure measurement sensor, a photoplethysmogram (PPG), a position or altitude sensor (gyro sensor), an oxygen saturation meter, Sensors, but are not limited thereto.

Here, the sensor for measuring the pressure of the feet may be mounted on the insole of the worker's shoe, and may include a sensor for measuring the temperature of the insole of the shoe separately from the sensor for measuring the body temperature.

The wearable device 100 has unique IDs and transmits data measured by a plurality of sensors to the risk management server 200 together with a unique ID.

At this time, a plurality of wearable devices 100 can be mounted to one worker, and a plurality of wearable devices for one worker have unique IDs interlocked with each other.

Next, the risk management server 200 analyzes the data listed by the unique ID of the wearable device 100 received from the wearable device 100. That is, the risk management server 200 calculates a risk score for each sensor by the measured data.

At this time, the risk management server 200 can calculate each risk score by dividing health data such as body temperature, heart rate, and blood pressure into accident data such as oxygen saturation, falling, and falling down. But is not limited thereto.

Next, the safety management server 300 calculates the health risk score by applying the weights set for the characteristics, the weather, and the construction site environment of each worker to the health data, and adding the risk scores of the weighted health data.

Then, the safety management server 300 can calculate the risk total score by summing the health risk score, the falling risk score, the choking risk score, and the dual pressure risk score.

In this way, when the safety management server 300 calculates the risk total score for each unique ID of the wearable device 100, the safety management server 300 calculates the risk total score of the wearable device 100 based on the personal information of the employee corresponding to the ID, And transmits a notification signal to the associated smart device or external rescue organization in accordance with the step.

For the sake of convenience of explanation, the risk step is composed of three steps, but it can be easily changed and designed by the user in the future.

Also, although the risk management server 200 and the safety management server 300 are separately described for the sake of convenience of description, they may be configured as one management server in the design by the user in the future.

Such a safety management system is connected to a wireless or wired network and communicates with each other. Here, the wireless network may be a short-range wireless communication network including Bluetooth, Zigbee, Near Field Communication (NFC), and Wibree, and a long-distance wireless communication network representing Wi-Fi, LTE, , But is not limited to a specific method.

Hereinafter, a safety management method of a safety management system using data measured by a wearer wearing a wearable device will be described with reference to FIGS. 2 to 3. FIG.

FIG. 2 is a flowchart illustrating a method for managing a safety management system according to an embodiment of the present invention. FIG. 3 is a graph illustrating a risk graph for each health data item according to an exemplary embodiment of the present invention.

First, the wearable device 100 measures health data through a plurality of sensors mounted on the body of the worker, and collects positional information and altitude information of the worker (S210).

The body temperature, the blood pressure systolic, the blood pressure diastolic, the heart rate, the altitude and the position, the pressure of both feet, etc. can be measured through the sensor built in or attached to the wearable device 100.

In this case, the position measurement is performed using a GPS (Global Positioning System), a Real Time Location System (RTLS), a beacon on a construction site, and a method of recognizing the location by triangulation using RSSI The position of a worker can be measured by, but not limited to.

Next, the risk management server 200 compares the measured health data with a reference value set for each item, and calculates the risk score as a score (S220).

The risk management server 200 divides the normal range, the warning range, and the danger range according to the medical standard value based on the value of the data of the workers for a certain period of time. That is, the risk management server 200 classifies the measured data into a warning level when the value is in a predetermined range or more, and a risk level when the measured data has a range that can greatly affect work.

The risk management server 200 can set the criteria of the normal range, the warning range and the danger range for each item as shown in Table 1 below, and calculate the score according to each range.

Figure 112017001485044-pat00002

As shown in Table 1, the risk management server 200 calculates a specific risk score (normal range: 0, risk range: 100) when the health data of the employee is in the normal range and the danger range, , A proportional risk score is calculated according to the extent to which the measured health data deviates from the normal range.

At this time, Table 1 can be shown as a graph for each item as shown in FIG.

The X-axis in FIG. 3 represents the measured data, the Y-axis represents the risk score, and each graph represents the risk score corresponding to the data measured for each item.

That is, FIG. 3 (a) shows the systolic blood pressure, (b) the diastolic blood pressure, (c) the body temperature, and (d) the risk score according to the measured value of the heart rate.

Referring to FIG. 3 (a), when the measured value falls within the range of 100 to 140, the risk score is 0, which corresponds to the normal range, and the measured value ranges from 80 to 100, , The increased risk score is calculated according to the deviation from the normal range such as the slope of the graph. If the systolic blood pressure reading falls within a range of 80 or below, or 160 or above, the risk score is 100.

Likewise, the graphs of FIGS. 3 (b), 3 (c) and 3 (d) show that the normal range and the risk range have a fixed risk score according to the measurement data of diastolic blood pressure, body temperature, The score is calculated as an increased risk score according to the extent to which it deviates from the normal range.

On the other hand, the risk management server 200 calculates the score according to the risk of falling, the risk of suffocation, and the risk of dual pressure using the position data, the oxygen saturation degree and the pressure degree of both feet, which measure the positions of workers, latitude, longitude and altitude.

The risk management server 200 estimates that the worker is in a dangerous state of falling when the change value of the altitude information of the worker is larger than the reference change value and the speed of the change value of the altitude information is larger than the speed of the moving means in the construction site, .

For example, assuming that the reference change value is 10 meters, if the altitude information change of the worker is greater than 10 meters and the altitude information changes at a speed faster than the elevator speed installed in the construction site, the risk management server 200 It can be assumed that the worker is at risk of falling.

At this time, when the risk management server 200 estimates that the worker is in a dangerous state of falling, the risk score is calculated as 50, and when there is no dangerous state, the risk management server 200 can calculate the score as zero.

If the oxygen saturation of the worker is equal to or lower than the predetermined reference value, the risk management server 200 estimates the risk score to be 50, assuming that the worker is in a dangerous state.

Here, the preset reference value to be compared with the measured oxygen saturation can be set differently according to the altitude of the worker.

Also, the risk management server 200 can estimate whether or not the worker is collapsed according to the change of the pressure of the worker and the temperature of the insole.

That is, when the measured pressure is equal to or lower than 200 kg / cm 2 , the risk management server 200 assumes that the worker has taken off his / her shoes in a sitting or expecting position if the insole temperature is 30 degrees or less, And the temperature of the insole is above 30 degrees, it can be assumed that the worker is in a dangerous condition with the center losing.

In other words, the risk management server 200 can estimate the posture of the worker with the pressure value of both feet, remove the shoes according to the temperature of the insole, and estimate whether the worker is at rest.

In this way, the risk management server 200 can calculate a dual pressure risk score of 50 in the case of a dangerous state and a zero point of the dual pressure risk score in the absence of a normal state.

On the other hand, in the embodiment of the present invention, health data such as body temperature, heart rate and blood pressure are collected and classified into accident data such as oxygen saturation, altitude change, foot pressure and insole temperature measurement, The types of collected data can be appropriately added or reduced according to the environment and the complexity of the construction site. The criteria range and score for each item can also be subdivided or integrated.

Next, the safety management server 300 applies a weight for each health data item and adds the risk scores to calculate a total risk D (S230).

The safety management server 300 may calculate the risk total score D by applying the risk score calculated for each item to the following equation (1).

Figure 112017001485044-pat00003

Here, D 1 is a systolic blood pressure risk, D 2 is a diastolic blood pressure risk, D 3 is the body temperature risk, D 4 is the heart rate risk, p 1, p 1, p 3 is a weight for each blood pressure, body temperature, heart rate, D T is D H is the risk of falling, D O is the choking risk, D F is the risk of dual pressure.

Here, the weight can be inputted or set by the safety manager in consideration of the characteristics of each worker, the weather, and the construction site environment according to the measured data items.

For example, by setting the weight of the body temperature risk to a high value in the winter, it is possible to set the risk total score more sensitively to items that are important in the field.

Next, the safety management server 300 transmits a notification signal to the associated smart device or external rescue organization according to the risk level corresponding to the calculated total risk point (S240).

The safety management server 300 classifies the risk level into three levels when the calculated total risk point is significantly larger than the first threshold value, is larger than the first threshold value, smaller than the second threshold value, and greater than the second threshold value .

Then, the safety management server 300 transmits a notification signal to each connected smart device or external rescue organization. Here, the notification signal includes the personal information of the employee, the detailed risk item, the score, and the current position, but is not limited thereto.

Hereinafter, step S240 in which the safety management server 300 according to the embodiment of the present invention transmits a notification signal according to a dangerous level will be described in detail with reference to FIG. 4 and FIG.

FIG. 4 is a diagram for explaining a notification signal transmission process according to a dangerous level according to an embodiment of the present invention, and FIG. 5 is an exemplary view for explaining a notification signal transmitted to a safety manager according to an embodiment of the present invention.

Hereinafter, the first threshold value is assumed to be 50 and the second threshold value is assumed to be 100 for convenience of explanation.

4, the risk level is composed of three levels. In case 1, the risk total score D is less than 50. In case 2, the risk total score D is greater than 50 100, Case 3 is divided into cases in which the risk total score (D) is greater than 100.

4 (a) shows transmission of a notification signal to the terminal or the PC of the safety manager in the risk phase of Step 1, and (b) in the risk phase of Step 2, Signal is transmitted, and c) indicates that the notification signal is further transmitted to the emblem disposed at the construction site in the third stage dangerous stage.

First, in the first stage, the safety management server 300 transmits a notification signal including the personal information, the detailed risk item, the score, and the current position of the employee to the terminal or the PC of the safety manager.

As shown in FIG. 5, FIG. 5A shows a safety manager PC screen, and FIG. 5B shows a screen of the safety manager terminal.

The risk score shown in FIGS. 5 (a) and 5 (b) represents the risk total score (D), and if the risk total score (D) falls within one of the three risk levels, A pop-up window including the name of the worker and the risk total score (D) is provided.

At this time, the warning indication may be set differently according to the danger level, and may include an alarm signal.

5 (b), when a corresponding pop-up window is displayed on the terminal of the safety manager, the user can receive information such as the employee's personal information, the detailed risk item, the score, and the current position by clicking the corresponding pop-up window have.

Likewise, in the second stage, the safety management server 300 estimates that an accident has occurred to the employee, and transmits a notification signal to the terminal of the safety manager or the PC and the terminal of the employee located adjacent to the accident occurrence point.

At this time, the safety management server 300 may select a nearest worker through a plurality of collected worker location information, transmit a notification signal to the terminal of the corresponding worker, or transmit a notification signal through a beacon installed near the worker.

In the third stage, the safety management server 300 transmits a notification signal to the terminal of the safety manager or the employee's terminal located adjacent to the PC, and transmits a notification signal to the emergency medical ambulance resident in the field.

That is, the safety management server 300 transmits a notification signal to the terminal or the external organization associated with each step.

On the other hand, when the risk of falling is high or the oxygen saturation is lower than the reference value, the safety management server 300 estimates that the worker is in emergency if the measured pressure of the feet is lower than the reference value. That is, when the risk of falling is high and the pressure of the feet is lower than the reference value, the safety management server 300 estimates that the employee falls and falls. If the degree of coral saturation is lower than the reference value and the pressure of the feet is lower than the reference value The worker can be assumed to have fainted state.

If the safety management server 300 assumes an emergency, the emergency signal including the personal information of the employee and the current position is transmitted to the terminal of the safety manager or the emergency terminal It can be transferred to an ambulance.

As described above, according to the embodiment of the present invention, since the safety manager can easily recognize the risk level of the health status of the workers through the risk index, it is possible to judge whether each worker can work or not, You can manage the site.

Also, when a worker is in a dangerous situation, it is possible to estimate the worker's situation through the health risk index or the accident risk index, so that quick rescue work and emergency treatment can be performed.

While the present invention has been described with reference to exemplary embodiments, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims. Accordingly, the true scope of the present invention should be determined by the technical idea of the appended claims.

100: wearable device 200: risk management server
300: Safety Management Server

Claims (12)

A wearable device mounted on a body of a worker to measure health data including body temperature, heart rate, blood pressure, oxygen saturation, and pressure of both feet of the worker through a plurality of sensors and collecting positional information and altitude information of workers in real time ,
A risk management server for comparing the measured health data with a reference value set for each item to calculate a risk score and calculating a falling risk score of the employee using the positional information and the altitude information;
According to the health data items, we apply the weights set according to the characteristics of each worker, the weather, and the construction site environment, calculate the total score by summing the risk scores applied with the weights, And a safety management server for transmitting a notification signal to the device or the external rescue organization,
The safety management server comprises:
A safety management system in the construction site that calculates risk total score (D) by applying the risk score calculated for each item to the following equation:
Figure 112017122548262-pat00011

Here, D 1 is a systolic blood pressure risk, D 2 is a diastolic blood pressure risk, D 3 is the body temperature risk, D 4 is the heart rate risk, p 1, p 1, p 3 is a weight for each blood pressure, body temperature, heart rate, D T is D H is the risk of falling, D O is the choking risk, D F is the risk of dual pressure.
The method according to claim 1,
The risk management server comprises:
Wherein when the altitude change value of the worker is greater than the reference change value and the speed of the change value of the altitude information is greater than the speed of the moving means in the construction site, On - site safety management system.
3. The method of claim 2,
The safety management server comprises:
If the risk of falling is high or the oxygen saturation is lower than the reference value, if the measured pressure of the feet is lower than the reference value, it is estimated that the employee is in an emergency state and an emergency signal including the employee's personal information and the current position A safety management system in the construction site that is transmitted to the terminal of the manager.
The method of claim 3,
The risk management server comprises:
Each health data item is divided into a normal range, a warning range, and a risk range. A normal range and a range of risks are calculated based on a specific risk score, and a warning range is calculated based on a proportionally scored risk score Safety management system in the construction site.
delete 5. The method of claim 4,
The safety management server comprises:
When the risk total score is equal to or less than the first threshold value, a notification signal including the personal information of the employee, the detailed risk item, the score, and the current position is transmitted to the terminal of the safety manager,
If the risk total score is greater than the first threshold value and is equal to or less than the second threshold value, it is assumed that an accident has occurred to the employee, and a notification signal is transmitted to the terminal of the safety manager and the terminal of the worker,
If the risk total score is larger than the second threshold value, it is assumed that an accident occurs in the worker and it is assumed that it is a dangerous situation, and the notification signal is transmitted to the terminal of the worker located adjacent to the terminal of the safety manager, An in-building safety management system that transmits the alert signal to an ambulance.
1. A safety management method using a safety management system in a construction site including a wearable device, a risk management server, and a safety management server,
The wearable device measures health data including the body temperature, heart rate, blood pressure, oxygen saturation, pressure of both feet of the worker through a plurality of sensors mounted on the body of the worker, and obtains position information and altitude information of the worker in real time Collecting step,
The risk management server compares the measured health data with a reference value set for each item, calculates the risk score, calculates a falling risk score of the employee using the location information and the altitude information, and
The safety management server applies a weight set according to the characteristics, weather, and construction site environment of each worker for each health data item, calculates a total risk score by summing the risk scores to which the weight is applied, and calculates a risk level corresponding to the calculated total risk score And transmitting a notification signal to the smart device or the external rescue organization associated with the smart device,
Wherein the step of transmitting the notification signal comprises:
A safety management method that calculates the risk total score (D) by applying the risk score calculated for each item to the following equation:
Figure 112017122548262-pat00012

Here, D 1 is a systolic blood pressure risk, D 2 is a diastolic blood pressure risk, D 3 is the body temperature risk, D 4 is the heart rate risk, p 1, p 1, p 3 is a weight for each blood pressure, body temperature, heart rate, D T is D H is the risk of falling, D O is the choking risk, D F is the risk of dual pressure.
8. The method of claim 7,
The step of calculating the risk score comprises:
When the altitude information change value of the worker is larger than the reference change value and the speed of the change value of the altitude information is larger than the speed of the moving means in the construction site, it is estimated that the worker is in a falling- How to manage.
9. The method of claim 8,
Wherein the step of transmitting the notification signal comprises:
If the risk of falling is high or the oxygen saturation is lower than the reference value, if the measured pressure of the feet is lower than the reference value, it is estimated that the employee is in an emergency state and an emergency signal including the employee's personal information and the current position To the terminal of the manager.
10. The method of claim 9,
The step of calculating the risk score comprises:
Each health data item is divided into a normal range, a warning range, and a risk range. A normal range and a range of risks are calculated based on a specific risk score, and a warning range is calculated based on a proportionally scored risk score Safety management methods.
delete 11. The method of claim 10,
Wherein the step of transmitting the notification signal comprises:
When the risk total score is equal to or less than the first threshold value, a notification signal including the personal information of the employee, the detailed risk item, the score, and the current position is transmitted to the terminal of the safety manager,
If the risk total score is greater than the first threshold value and is equal to or less than the second threshold value, it is assumed that an accident has occurred to the employee, and a notification signal is transmitted to the terminal of the safety manager and the terminal of the worker,
If the risk total score is larger than the second threshold value, it is assumed that an accident occurs in the worker and it is assumed that it is a dangerous situation, and the notification signal is transmitted to the terminal of the worker located adjacent to the terminal of the safety manager, And transmitting said alert signal to an ambulance.
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