JP7061706B1 - Danger warning device, danger warning method and danger warning program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To accurately give notice of an accident that is likely to occur for each worker based on past accident examples at the site. SOLUTION: The danger warning device of the present invention determines a condition in which the same type of accident is likely to occur based on a monitoring unit that acquires information about a current worker and an accident that has occurred in the past, and has acquired the above. The danger management unit that determines whether the information corresponds to the determined condition, and if the acquired information corresponds to the determined condition, notifies the worker of the occurrence of the same type of accident. It is characterized by having a notice section. [Selection diagram] Fig. 1

Description

The present invention relates to a danger warning device, a danger warning method, and a danger warning program.

Workers face various dangers at sites such as factories, warehouses, civil engineering, construction, and transportation. Recently, techniques for utilizing data such as camera images acquired from wearable devices worn by workers for accident prevention or post-accident relief have become widespread. The work information system of Patent Document 1 receives data such as voice and camera images from a headgear worn by an operator. The work information system detects that an accident or an event just before the accident has occurred, and stores data such as voice and camera images at that time. Further, in an emergency, the work information system transmits the action to be performed by voice to the headgear of a plurality of workers at the site.

Japanese Unexamined Patent Publication No. 2018-180852

Ideally, workers should be able to maintain sufficient tension in all areas of the vast field and avoid the risk of accidents. However, in reality, there is a limit to the concentration of workers. Workers want to be aware of the dangers in the field in advance. The work information system of Patent Document 1 is based on the premise that an accident of the type specified by the user in advance occurs, for example, in order to create training materials, and the necessary part of the necessary type of data (immediately before and immediately after the accident). It is useful when extracting (voice, etc.).

However, it is difficult to predict and specify what kind of accident will occur when workers with various attributes and physical conditions work in a variable environment at a new site. Therefore, an object of the present invention is to accurately notify each worker of an accident that is likely to occur based on past accident examples at the site.

The danger warning device of the present invention determines the conditions under which the same type of accident is likely to occur based on the monitoring unit that acquires information about the current worker and the accident that has occurred in the past, and the acquired information is the determination. A danger management unit that determines whether or not the conditions are met, and a notice unit that notifies the worker of the occurrence of the same type of accident when the acquired information meets the determined conditions. The information about the worker includes the environmental information of the worker, and at least one of the position of the worker, the time of work, the attributes of the worker, and the biometric information of the worker. The condition includes a value for the worker's environmental information and at least one of the worker's position, work time, worker attributes, and worker's biometric information. The environmental information includes the attitude of the worker captured by a camera installed at the site, and at least one of the temperature, humidity, illuminance, and odor around the worker. The type includes a single accident without a partner, an interference accident with a partner, and a psychogenic accident that occurs regardless of the presence or absence of the partner. It is characterized in that it accepts input by a user in association with the type, and the advance notice unit transmits the accepted wording to the worker .
Other means will be described in the embodiment for carrying out the invention.

According to the present invention, it is possible to accurately notify each worker of an accident that is likely to occur based on past accident examples at the site.

It is a figure which shows the structure of the danger warning device. It is a figure which shows an example of accident information. It is a figure which shows an example of the worker attribute information. It is a figure which shows an example of the worker biological environment information. It is a figure which shows an example of the advance notice condition information. It is a flowchart of a processing procedure.

Hereinafter, a mode for carrying out the present invention (referred to as “the present embodiment”) will be described in detail with reference to figures and the like. This embodiment is an example of notifying the operator of the danger at the site. The site is a place where work such as factory, warehouse, civil engineering, construction, transportation, etc. is performed, and it may be indoors or outdoors.

(Danger warning device)
FIG. 1 is a diagram showing a configuration and the like of the danger warning device 1. The danger warning device 1 is a general computer and includes a central control device 11, an input device 12 such as a mouse and a keyboard, an output device 13 such as a display, a main storage device 14, an auxiliary storage device 15, and a communication device 16. These are interconnected by a bus. The auxiliary storage device 15 stores accident information 31, worker attribute information 32, worker biological environment information 33, and advance notice condition information 34 (details will be described later).

The monitoring unit 21, the danger management unit 22, and the warning unit 23 in the main storage device 14 are programs. The central control device 11 reads these programs from the auxiliary storage device 15 and loads them into the main storage device 14, thereby realizing the functions of the respective programs (details will be described later). The auxiliary storage device 15 may have a configuration independent of the danger warning device 1. The danger warning device 1 can communicate with a plurality of radio base stations 4 and a plurality of stationary sensors 9 mounted on a wall surface or the like of a site 3 via a network 2. The stationary sensor 9 measures ambient environmental information (temperature, humidity, atmospheric pressure, illuminance, concentration of a specific component in the atmosphere, etc.). A plurality of stationary sensors 9 are installed in a distributed manner so that the measurement spaces do not overlap in the site 3 and no space that cannot be measured is generated.

One or more workers 6 are working at the site 3. There is a danger zone 5 at the site 3. The dangerous area 5 is an area including a position where an accident has occurred in the past. Now, the worker 6 is walking in the site 3 toward the danger zone 5.

Each of the workers 6 carries a mobile terminal device 7a, a speaker microphone 7b, and a portable sensor 7c. The speaker / microphone 7b is, for example, a headset, and has the functions of a speaker and a microphone. The portable sensor 7c measures the biological information (body temperature, pulse rate, blood pressure, respiratory rate, etc.) of the worker 6. The worker 6 wears the speaker microphone 7b on the head and the portable sensor 7c on the wrist. In order to improve audibility in a noisy environment, the speaker microphone 7b may be a bone conduction type that transmits voice vibration directly to the skull. It is desirable that the portable sensor 7c has a wristband shape that does not interfere with work. The headset may have the functions of reference numerals 7a to 7c.

The worker 6 attaches the mobile terminal device 7a to the waist or the like. The mobile terminal device 7a is connected to the speaker microphone 7b and the portable sensor 7c by wire or wirelessly. The mobile terminal device 7a performs wireless communication with the wireless base station 4. Eventually, the worker 6 can communicate with the danger warning device 1 and transmit biometric information to the danger warning device 1. Further, the radio base station 4 can also measure the distance between itself and the mobile terminal device 7a. Since there are a plurality of radio base stations 4, these radio base stations 4 can specify the position of the mobile terminal device 7a. When the worker 6 enters the danger zone 5, the danger warning device 1 notifies the worker 6 (for example, a worker 6 who is likely to cause an accident) via the speaker microphone 7b that there is a danger of an accident. 8 is transmitted.

The stationary sensor 9 that acquires the surrounding environment information may be a portable type (not shown). For example, the helmet worn by the worker 6 may be equipped with a sensor for acquiring information on the surrounding environment. Further, the stationary sensor 9 may include a camera (not shown) that captures the posture of the worker 6. In this case, the camera can transmit a still image showing the posture of the worker 6 and a moving image showing the movement of the posture to the danger warning device 1.

For convenience of explanation, an example in which the worker 6 invades the danger zone 5 is given, but the danger warning device 1 can transmit the notice 8 according to the notice condition described later regardless of the presence or absence of the danger zone 5.

(Accident information)
FIG. 2 is a diagram showing an example of accident information 31. In the accident information 31, in association with the accident ID stored in the accident ID column 101, the accident content column 102 has the accident content, the accident type column 103 has the accident type, and the worker ID column 104 has the worker ID. However, the worker name is stored in the worker name column 105, the position is stored in the position column 106, the time is stored in the time column 107, the biometric information is stored in the biometric information column 108, and the environmental information is stored in the environmental information column 109. Has been done.

The accident ID in the accident ID column 101 is an identifier that uniquely identifies an accident that has occurred in the past.
The accident content in the accident content column 102 is a character string describing the outline of the accident.
The accident type in the accident type column 103 is a classification of accident contents. For example, "type 1" indicates a single accident in which there is no partner (person or object), "type 2" indicates an interference accident with the partner, and "type 3" indicates a mind that occurs regardless of the presence or absence of the partner. Indicates a causal accident.
The worker ID in the worker ID column 104 is an identifier that uniquely identifies the worker 6.
The worker name in the worker name column 105 is the name of the worker 6.

The position of the position column 106 is a coordinate value that defines the inside of the position where the accident occurred in the past (danger area 5 in FIG. 1). Now, it is assumed that the site 3 is a three-dimensional coordinate space. It is assumed that the X-axis of this coordinate space is the left-right direction, the Y-axis is the front-back direction, and the Z-axis is the up-down direction. An example of the shape of the danger zone 5 is a rectangular parallelepiped as shown in FIG. Therefore, one diagonal line is drawn on the bottom surface of the rectangular parallelepiped, the X-coordinate value and the Y-coordinate value of _one of the endpoints are x1 and y1, respectively, and the X-coordinate value and the Y _- coordinate value of the other endpoint are x2, _respectively . And y ₂ , and the Z coordinate value indicating the height of the rectangular parallelepiped from the floor surface is z. Then, the five-dimensional vector "(x ₁ , y ₁ , x ₂ , y ₂ , z)" can define the inside of the rectangular parallelepiped. In addition, "#" indicates a different value abbreviated (the same applies hereinafter).

The time in the time column 107 is the year, month, day, hour, minute, and second when the accident occurred in the past.
The biological information in the biological information column 108 is the biological information of the worker 6 measured by the portable sensor 7c, and here, it is “body temperature”, “heart rate”, and “blood pressure”.
The environmental information in the environmental information column 109 is the environmental information measured by the stationary sensor 9 closest to the worker 6, and here, the "temperature", "humidity", "illuminance", "smell" and "posture" are used. be. The "smell" (smell / odor) is, for example, the concentration of an organic solvent in the atmosphere.

The "posture" is the posture of the worker 6 such as "forward bending" and "sonkyo". This posture is taken by the camera included in the stationary sensor 9. The posture is information about the worker 6 itself, but is included in the environmental information in the sense that it is acquired by the stationary sensor 9 together with other environmental information (temperature, humidity, illuminance, and odor). The environmental information may include, for example, radiation dose, noise, etc., in addition to the examples given here.

(Worker attribute information)
FIG. 3 is a diagram showing an example of worker attribute information 32. In the worker attribute information 32, in association with the worker ID stored in the worker ID column 111, the worker name column 112 has the worker name, the age column 113 has the age, and the work history column 114 has the work history. However, the work attitude is stored in the work attitude column 115, and the accident experience is stored in the accident experience column 116.

The worker ID in the worker ID column 111 is the same as the worker ID in FIG. 2, but the worker in FIG. 2 is a worker who has caused an accident in the past, whereas the worker here is the worker. Are all workers, whether or not they have an accident.
The worker name in the worker name column 112 is the same as the worker name in FIG.
The age in the age column 113 is the current age of the worker 6. From the age here and the time in FIG. 2, the age at the time of the accident of the worker in FIG. 2 can be known.
The work history of the work history column 114 is a time-series arrangement of the types of work that the worker 6 has engaged in and the number of years of experience thereof.
The work attitude in the work attitude column 115 is a personnel evaluation for each job type for the worker 6.

The accident experience in the accident experience column 116 is the date of the accident, the occupation type at the time of the accident, and the accident type when the worker 6 has caused an accident in the past. If the worker 6 has not caused an accident, the column is blank. From the date of the accident and the current age (age column 113), the age at the time of the accident of the worker can be known.
The worker attribute information 32 (FIG. 3) is connected to the accident information 31 (FIG. 2) via the “worker ID”. Therefore, for example, when a certain worker 6 causes an accident a plurality of times, the age, work history, and working attitude at the time of each accident can be known.

(Worker bioenvironment information)
FIG. 4 is a diagram showing an example of the worker biological environment information 33. In the worker biological environment information 33, the worker name is in the worker name column 122, the position is in the position column 123, and the time column 124 is associated with the worker ID stored in the worker ID column 121. The time is stored in the biological information column 125, and the environmental information is stored in the environmental information column 126.
The worker ID in the worker ID column 121 is the same as the worker ID in FIG. 2, but the workers here are also all workers regardless of whether or not an accident has occurred.
The worker name in the worker name column 122 is the same as the worker name in FIG.
The position of the position column 123 is the same as the position of FIG. However, while the position in FIG. 2 is the position where the accident occurred, the position here is the position where the worker 6 was present at that time regardless of the occurrence of the accident.
The time in the time column 124 is the year, month, day, hour, minute, and second at the time when the biological information and the environmental information are measured.

The biometric information in the biometric information column 125 is the biometric information of the worker 6 at that time. The portable sensor 7c measures the biometric information of all the workers 6 at a predetermined cycle (for example, every 5 minutes).
The environmental information in the environmental information column 126 is the environmental information measured by the stationary sensor 9 closest to the worker 6 at that time. The stationary sensor 9 measures environmental information around itself at a predetermined cycle.
As is clear from FIG. 4, the biometric information and the environmental information of all the workers 6 are monitored at a predetermined cycle and stored in the danger warning device 1.

(Notice condition information)
FIG. 5 is a diagram showing an example of the advance notice condition information 34. In the advance notice condition information 34, in relation to the advance notice ID stored in the advance notice ID column 131, the accident type column 132 has the accident type, the advance notice content column 133 has the advance notice content, and the advance notice condition column 134 has the advance notice condition. It is remembered.
The notice ID in the notice ID column 131 is an identifier that uniquely identifies the notice 8 (FIG. 1). The notice is a message to be transmitted to the worker 6 who is likely to cause an accident.
The accident type in the accident type column 132 is the same as the accident type in FIG.
The notice content in the notice content column 133 is a character string in natural language transmitted as a notice.

The notice condition in the notice condition column 134 is a condition for determining the worker 6 who receives the notice. In the example of FIG. 5, the advance notice condition consists of eight individual conditions (position, time, biological information, environmental information, age, work history, work attitude, and accident experience). The relationship between the individual conditions may be a logical sum, a logical product, or a mixture of the two. Individual conditions include those in which condition values are associated and stored, and those in which condition values are not. In the notice C01 of FIG. 5, for example, the condition value “16:00 to 18:00” is associated with the “time”. However, for example, the condition value is not associated with "age". This indicates that there are no conditions regarding age.

Focusing on the record of "C01" in FIG. 5, the following can be seen.
-The danger warning device 1 acquires the probability distribution of accidents according to changes in the condition values for each individual condition for multiple "type 1" (single accidents including falls) accidents that have occurred in the past. There is.
-As a result, the probability that a "type 1" accident occurred when the individual condition "position" corresponds to the condition value "(#, #, #, #, #)" was larger than the predetermined threshold value.
-Similarly, when the individual condition "time" corresponds to the condition value "16:00 to 18:00", the probability that a "type 1" accident occurred was larger than the predetermined threshold value.

-When the individual condition "work history" corresponds to the condition value "work history A, less than one year", the probability that a "type 1" accident occurred was greater than the predetermined threshold.
-When the individual condition "work attitude" corresponds to the condition value "less than the average" good "for all occupations", the probability that a "type 1" accident occurred was greater than the predetermined threshold.
-For other individual conditions "biological information", "environmental information", "age" and "accident experience", the fact that the probability distribution was widely dispersed and many accident types occurred under specific condition values was recognized. There wasn't.

-The user of the danger warning device 1 will give a notice "Here is a fall accident ..." based on the hearing result of the worker 6 who caused the accident, and the worker who will fall under the warning condition in the future. I'm trying to tell 6.
-It is unclear from FIG. 5 whether the individual conditions "position", "time", "work history" and "work attitude" are AND or OR. A user who intends to convey the notice to more workers 6 sets these as logical sums.

The same applies to the record of "C02" in FIG. Comparing the record of "C01" and the record of "C02", the following can be found.
-There are individual conditions that affect the occurrence of certain types of accidents and individual conditions that do not. For example, "position" affects the occurrence of "type 1" but does not affect the occurrence of "type 2". Similarly, "environmental information (illuminance)" affects the occurrence of "type 2", but does not affect the occurrence of "type 1".

When the individual condition "environmental information" is a posture, the condition values such as "take a forward bending posture" and "continue the posture for #seconds" are stored.

(Processing procedure)
FIG. 6 is a flowchart of the processing procedure. As a premise for starting the processing procedure, it is assumed that the accident information 31 (FIG. 2) and the worker attribute information 32 (FIG. 3) are stored in the auxiliary storage device 15 in the latest state.

In step S201, the danger management unit 22 of the danger warning device 1 reads out the accident information 31 (FIG. 2). Specifically, the danger management unit 22 reads out the accident information 31 from the auxiliary storage device 15. As described above, the accident information 31 is a record of accidents that actually occurred in the past.
In step S202, the risk management unit 22 reads out the worker attribute information 32 (FIG. 3). Specifically, the danger management unit 22 reads the worker attribute information 32 from the auxiliary storage device 15.

In step S203, the risk management unit 22 creates the notice condition information 34 (FIG. 5). Specifically, first, the risk management unit 22 classifies the records of the accident information 31 into groups for each accident type. The individual groups classified are also referred to as "typographic records".
Secondly, the risk management unit 22 creates a probability distribution in which the accident type occurs for each individual condition (position, time, biometric information, ...) For any unprocessed type record group.
The probability distribution is a curve or histogram drawn on a coordinate plane whose horizontal axis is the condition value and whose vertical axis is the probability of occurrence.

Thirdly, the risk management unit 22 determines a condition value such that the probability of occurrence is equal to or higher than a predetermined threshold value. For example, the individual condition is "time", and the probability of occurrence of an accident type in a type record group is "16:00 to 18:00: among a plurality of time widths having a predetermined length (for example, 2 hours)". It is assumed that the value is "20%" or more at "00". At this time, the risk management unit 22 sets the condition value for the time to "16:00 to 18:00". Here, the crisis management unit 22 determines the conditions under which the same type of accident is likely to occur. The crisis management unit 22 may not be able to determine such a condition value.

The risk management unit 22 repeats the "second" and "third" processes of step S203 for each individual condition (inner loop), and further repeats for each type record group (outer loop).
Fourth, the risk management unit 22 creates a record of the notice condition information 34. At this stage, the notice content column 133 is blank.
Fifth, the danger management unit 22 displays the notice condition information 34 on the output device 13.
Sixth, the danger management unit 22 accepts the user to input the content of the notice of each accident type (words for notifying the occurrence of the accident) via the input device 12.

In step S204, the monitoring unit 21 of the danger warning device 1 executes monitoring. Specifically, the monitoring unit 21 starts a process of acquiring the environmental information of all the workers 6 from the stationary sensor 9 and acquiring the biometric information of all the workers 6 from the portable sensor 7c.
In step S205, the monitoring unit 21 creates the worker biological environment information 33 (FIG. 4). Specifically, the monitoring unit 21 creates a record of the worker biological environment information 33 each time a predetermined cycle arrives. The monitoring unit 21 will newly create records for all workers at one processing opportunity. Each time a new record is created, the monitoring unit 21 gives notice of the attributes (work history, etc. in FIG. 3), position, time, biometric information, environmental information, etc. associated with the worker name of the record in FIG. It monitors whether any of the conditions are met.

In step S206, the crisis management unit 22 of the danger warning device 1 determines whether or not there is a worker 6 who meets the warning conditions. Specifically, the crisis management unit 22 proceeds to step S207 when there is a worker who meets the prior notice condition among the workers of the worker biological environment information 33 (step S206 “Yes”), and in other cases (step S207). Step S206 “No”), the processing procedure is terminated. For convenience of explanation, it is assumed here that the worker ID "M21" of FIG. 4 is applicable as the worker 6 corresponding to the notice condition of the record of the notice ID "C01" of FIG.

In step S207, the warning unit 23 of the danger warning device 1 determines the content of the warning. Specifically, the advance notice unit 23 searches the advance notice condition information 34 using "C01" as a search key, and acquires the advance notice content of the corresponding record. Here, the notice content "Here, a fall accident ..." will be acquired.

In step S208, the advance notice unit 23 synthesizes the voice. Specifically, the notice unit 23 converts the character string of the notice content "Here, a fall accident ..." into a time-series voice waveform by an arbitrary method.
In step S209, the advance notice unit 23 transmits the advance notice 8. Specifically, the advance notice unit 23 transmits a voice waveform to the mobile terminal device 7a carried by the worker 6 specified by the worker ID “M21”. Then, the speaker / microphone 7b reproduces the voice waveform and informs the operator of the voice "Here, there is a fall accident ...". After that, the processing procedure is terminated.
The danger warning device 1 repeats the processes of steps S205 to S209 at predetermined intervals.

(Effect of this embodiment)
The effects of the danger warning device of this embodiment are as follows.
(1) The danger warning device can determine conditions in which an accident is likely to occur, and the worker can determine whether or not the conditions are met.
(2) The danger warning device can specify the conditions from various aspects by using the position of the worker, the time of work, the attributes of the worker, the biological information and the environmental information.
(3) The danger warning device can objectively determine the conditions under which an accident is likely to occur, based on the probability that the conditions have caused an accident.

(4) The danger warning device can allow the user to decide the content of the notice.
(5) The danger warning device can use easily available data such as age and work history as the attributes of the worker.
(6) The danger warning device can use easily available data such as body temperature and heart rate as biometric information of the worker.
(7) The danger warning device can use easily available data such as temperature and humidity as the environmental information of the worker.

The present invention is not limited to the above-described embodiment, and includes various modifications. For example, the above-described embodiment has been described in detail in order to explain the present invention in an easy-to-understand manner, and is not necessarily limited to the one including all the configurations described. Further, it is possible to replace a part of the configuration of one embodiment with the configuration of another embodiment, and it is also possible to add the configuration of another embodiment to the configuration of one embodiment. Further, it is possible to add / delete / replace a part of the configuration of each embodiment with another configuration.

1 Danger warning device 2 Network 3 Site 4 Radio base station 5 Danger area 6 Worker 7a Mobile terminal device 7b Speaker / microphone 7c Portable sensor 8 Notice 9 Installed sensor (camera)
11 Central control device 12 Input device 13 Output device 14 Main memory device 15 Auxiliary storage device 16 Communication device 21 Monitoring unit 22 Danger management unit 23 Notice unit 31 Accident information 32 Worker attribute information 33 Worker bio-environment information 34 Notice condition information

Claims (6)

A monitoring unit that acquires information about current workers,
Based on the accidents that occurred in the past, the danger management department that determines the conditions under which the same type of accident is likely to occur and determines whether or not the acquired information corresponds to the determined conditions.
When the acquired information corresponds to the determined condition, the warning unit for notifying the worker of the occurrence of the same type of accident, and the warning unit.
Equipped with
Information about the worker
It includes the worker's environmental information and at least one of the worker's position, work time, worker's attributes, and worker's biometric information.
The above conditions are
It contains values for the worker's environmental information, as well as values for at least one of the worker's position, work time, worker attributes, and worker's biometric information.
The environmental information is
Includes the posture of the worker captured by a camera installed at the site, as well as at least one of the temperature, humidity, illuminance, and odor around the worker.
The above type is
Including single accidents without a partner, interference accidents with a partner, and psychogenic accidents that occur with or without a partner.
The crisis management department
Accepting the user to input the wording foretelling the occurrence of the accident in association with the type,
The notice section
Sending the accepted wording to the worker,
A danger warning device featuring. The crisis management department
Determining the conditions under which the accident is likely to occur based on the probability that the conditions have caused the accident.
The danger warning device according to claim 1. The attribute is
Including at least one of the worker's age, work history, work attitude and accident experience,
2. The danger warning device according to claim 2 . The biometric information is
Including at least one of the worker's body temperature, heart rate and blood pressure,
The danger warning device according to claim 3 . The monitoring unit of the danger warning device
Get information about current workers,
The crisis management unit of the danger warning device
Based on the accidents that occurred in the past, the conditions under which the same type of accident is likely to occur are determined, and whether or not the acquired information corresponds to the determined conditions is determined.
The warning unit of the danger warning device is
If the acquired information meets the determined conditions, the worker is notified of the occurrence of the same type of accident.
Information about the worker
It includes the worker's environmental information and at least one of the worker's position, work time, worker's attributes, and worker's biometric information.
The above conditions are
It contains values for the worker's environmental information, as well as values for at least one of the worker's position, work time, worker attributes, and worker's biometric information.
The environmental information is
Includes the posture of the worker captured by a camera installed at the site, as well as at least one of the temperature, humidity, illuminance, and odor around the worker.
The above type is
Including single accidents without a partner, interference accidents with a partner, and psychogenic accidents that occur with or without a partner.
The crisis management department
Accepting the user to input the wording foretelling the occurrence of the accident in association with the type,
The notice section
Sending the accepted wording to the worker,
A danger warning method for a danger warning device. Computer,
A monitoring unit that acquires information about current workers,
Based on the accidents that occurred in the past, the danger management department that determines the conditions under which the same type of accident is likely to occur and determines whether or not the acquired information corresponds to the determined conditions.
When the acquired information corresponds to the determined condition, the warning unit for notifying the worker of the occurrence of the same type of accident, and the warning unit.
It is a danger warning program to make it work.
Information about the worker
It includes the worker's environmental information and at least one of the worker's position, work time, worker's attributes, and worker's biometric information.
The above conditions are
It contains values for the worker's environmental information, as well as values for at least one of the worker's position, work time, worker attributes, and worker's biometric information.
The environmental information is
Includes the posture of the worker captured by a camera installed at the site, as well as at least one of the temperature, humidity, illuminance, and odor around the worker.
The above type is
Including single accidents without a partner, interference accidents with a partner, and psychogenic accidents that occur with or without a partner.
The crisis management department
Accepting the user to input the wording foretelling the occurrence of the accident in association with the type,
The notice section
Sending the accepted wording to the worker,
A danger notice program featuring.

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