JPH09276234A - System and method for reporting information - Google Patents

Abstract

PROBLEM TO BE SOLVED: To improve a working environment and the pattern of behavior. SOLUTION: A physiological and bio-information sensor 1 detects the skin conductivity, pulse waves, and acceleration, etc., of the operator, which are stored in a physiological information ablating part 11 as a database. A situation monitor 4 monitors the situation around the operator, and this situation information is recorded on a situation data recording part 12. A situation presenting part 13 reads from the database in the physiological and bio-information analyzing part 11 a graph showing any change in physiological and bio-information about the operator, and displays it on a display 19. The user recognizes the change in the physiological and bio-information, and marks the period during which the change occurred. Direct and indirect causes and measures, etc., related to the change in the physiological and bio-information, are input from a situation explanation part input part 14, and are collected by a collecting part 15. From these inputs, a reliability presenting part 16 detects and presents the reliability at which the physiological and bio-information changes, and a cause presenting part 17 and a measure presenting part 18 estimate and present the causes and the measures.

Description

Detailed Description of the Invention

[0001]

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to an information notifying system and method, and more particularly to an information notifying system and method suitable for improving a work environment or an individual's behavior pattern.

[0002]

2. Description of the Related Art For example, in a factory for producing automobiles, many workers work while operating many machines. In order to ensure the safety of workers,
For example, if you train a worker for safety, install a sensor on a machine, etc., and the worker approaches a specified range while the machine is operating, use this It detects and warns, or temporarily suspends the operation of the machine.

[0003]

However, such a conventional method is, so to speak, only a temporary measure (only at that time), and in order to reduce the number of accidents, in the end,
There was a problem that it was difficult to reduce the number of accidents because individual workers had to be careful.

The present invention has been made in view of such a situation, and it is possible to prevent an accident from occurring more reliably.

[0005]

According to a first aspect of the present invention, there is provided an information notification system, a measuring means for continuously measuring the biological information of a person to be measured, and a biological information recording for recording the biological information measured by the measuring means. Means, monitoring means for monitoring the status information around the measurement target person, status information recording means for recording the status information monitored by the monitoring means, and extraction means for extracting status information corresponding to changes in the biological information And an informing means for informing the situation information extracted by the extracting means.

The information notifying method according to claim 5 continuously measures the biometric information of the measurement target person, records the measured biometric information, monitors the situation information around the measurement target person, and monitors means. Is recorded, the situation information corresponding to the change in the biological information is extracted, and the extracted situation information is notified.

In the information notification system according to the first aspect and the information notification method according to the fifth aspect, the measured biological information and the status information being monitored are recorded. When the biometric information changes, status information corresponding to the biometric information is extracted and notified.

[0008]

1 is a block diagram showing the configuration of an embodiment of an information notification system of the present invention. The physiological / biological information sensor 1 (measurement means) continuously measures the physiological / biological information of an operator (measurement target person) working in a factory or the like. The physiological / biological information sensor 1 includes a skin conductivity sensor, a pulse wave sensor, a heartbeat sensor, a respiratory rate sensor, a wrist or body acceleration sensor, and the like.

As the physiological biological information sensor 1 of FIG. 1, a method of measuring the skin conductivity in an analog manner is disclosed in "Electrical electrical activity" (Seiwa Shoten), and the pulse wave is electrically captured. The method is "autonomic nerve function test" (Bunkodo)
Is disclosed. Other methods for continuously recording biological signals include Holter-type electrocardiograph, Holter-type electromyography,
A Holter type blood pressure / heart rate monitor is known.

FIG. 2 shows an example of a skin impedance detection result detected by the skin conductivity sensor.
As shown in the figure, when the worker suddenly speaks to the operator and makes them relieve, it can be seen that the skin impedance changes significantly at that timing. It is known that the number of human pulse increases when the person is surprised or tense. Further, when the worker changes his or her arm or body suddenly, the acceleration of the wrist or torso rapidly increases. In this way, by detecting various physiological / biological information of the worker, when the worker feels sick or sick, this is detected.

The physiological / biological information detected by the physiological / biological information sensor 1 is supplied to the physiological / biological information recording section 2 (biological information recording means), A / D converted and recorded. Physiological and biological information x _{1 to} x recorded in the physiological and biological information recording unit 2
_n is read out as appropriate and supplied to the data processing device 3.

[0012] Usually, the worker does not stay in a fixed position, but often moves. Therefore, the physiological / biological information detected by the physiological / biological information sensor 1 is once recorded in the physiological / biological information recording unit 2 and then wirelessly supplied to the data processing device 3. Of course, when the operator does not move much from the predetermined position, the physiological and biological information may be supplied to the data processing device 3 by wire.

The data processing device 3 is composed of, for example, a computer and its peripheral devices. In FIG.
The configuration is shown separately for each functional block.

The condition monitoring monitor 4 (monitoring means) is composed of, for example, a video camera or the like. The status information is supplied to and recorded in the monitoring data recording unit 12 (status information recording means) of the data processing device 3.

In addition to this, the status monitor 4 is composed of a recorder for operating the apparatus such as a temperature recorder and a pressure recorder, and a clock for performing a timekeeping operation.

A plurality of the information monitoring monitors 4 are arranged, for example, at predetermined positions in the factory. In this case, the output of the status monitor 4 can be supplied to the data processing device 3 by wire.

In the physiological / biological information recording section 2, the data converted from an analog signal to a digital signal and recorded are:
The data is read from there and supplied to the physiological / biological information analysis unit 11 and the situation presentation unit 13 of the data processing device 3. In the physiological / biological information analysis unit 11, for example,
A place where the change in skin conductivity of the operator is higher than the average value is extracted, or a place where the heart rate per hour is higher than usual is extracted. Further, the breathing interval is shorter than the average, the very long place is extracted, or the place where the acceleration is larger than that is extracted.

The results analyzed by the physiological / biological information analysis unit 11 are supplied to the situation presentation unit 13 and the totaling unit 15.

The situation presenting unit 13 includes a situation data recording unit 12
The recorded data supplied by the physiological information, the physiological biological information supplied by the physiological biological information recording unit 2, or the physiological biological information analysis unit 1
The analysis results supplied from No. 1 are simultaneously or selectively processed and displayed on the display unit 19 (informing means) as presentation data. Alternatively, the situation presenting unit 13 obtains a correspondence relationship between the elapsed time or time and these data and analysis results, and displays them on the display device 19 or displays information corresponding to the analysis results of the physiological / biological information analysis unit 11. , A message to be taken in by a worker or the like is generated and displayed on the display device 19.

The input device 25 takes in inputs from the mouse 21, keyboard (K / B) 22, microphone 23, tablet 24 for handwriting input, and supplies them to the situation explanation input unit 14 of the data processing device 3. The situation explanation input unit 14 outputs these data to the totaling unit 15.

The totaling unit 15 (extracting means) has a law property presenting unit 16 (law detecting unit), a cause presenting unit 17 (cause detecting unit), and a measure presenting unit 18 (countermeasure detecting unit),
The time when there is a true abnormality is specified from the input from the operator, the corresponding status information is displayed on the display device 20 (informing means), the time zone that needs attention is presented, and the true time is displayed. Aggregate the abnormal events and present the events that are likely to occur. Such a presentation is performed by the display device 20. The display device 20 may be the same as the display device 19.

Further, the law presenting section 16 detects the law in which an abnormality occurs and presents it. Thereby, for example, a dangerous time zone is presented. Cause presentation unit 17
Performs a process of associating a change in physiological / biological information with a work immediately before the occurrence of an abnormality, and a process of presenting the work immediately before that as a cause. The countermeasure presentation unit 18 retrieves and presents countermeasures for suppressing the occurrence of abnormality from past countermeasures.

The flow of operation in the embodiment shown in FIG. 1 is schematically shown in FIG.

Next, the operation of the embodiment of FIG. 1 will be described. As described above, the physiological / biological information sensor 1 constantly detects the physiological / biological information of the operator and supplies it to the physiological / biological information recording unit 2. The physiological / biological information recorded in the physiological / biological information recording unit 2 is input to the physiological / biological information analysis unit 11 wirelessly or by wire. The physiological / biological information analysis unit 11
These physiological and biological information are analyzed, made into a database, and stored. Similarly, the situation monitoring monitor 4 monitors the surrounding situation in which the worker is working and supplies the situation information to the situation data recording unit 12. As a result, a database of status information is formed in the status data recording unit 12.

In the physiological / biological information analysis section 11, the processing shown in the flowchart of FIG. 4 is executed to form a database. First, in step S1, standard zone selection processing is performed. That is, for example, as shown in FIGS. 5A to 5D, the information x _{1 to} x _n output from the physiological biological information sensor 1 is recorded in the physiological biological information analysis unit 11 at each time. The user operates a predetermined key of the keyboard 22 to read it and display it on the display unit 19. Thus, for example, as shown in FIG. 5A, a graph in which the horizontal axis represents time and the vertical axis represents the skin impedance level is displayed. The user, for example, after waking up, a period of 15 minutes from the time when 15 minutes have passed,
It is designated as a standard section by operating the mouse 21.

In step S2, the standard feature amount C _j of the standard section selected in step S1 is defined. The standard feature amount C _j has the following values, for example. Mean value x _jav peak number in the standard section in the standard section (1 + α) x Number (1-beta), which exceeds the _jav average value of peak intervals of a few in the standard section below the x _jav t _{(pp) av} Standard section area Sx _Jav- noted below the average value in the area Sx _{jav +} standard section above the average value of the inner, where, alpha, beta is a positive constant.

After obtaining the standard feature amount C _j as described above, the situation presenting unit 13 proceeds to step S3 and divides the recorded data into blocks by dividing the recorded data with the same time width as the standard period.
That is, in this case, the physiological / biological measurement data is divided into blocks at intervals of 15 minutes.

Next, in step S4, the same feature amount as in step S2 is calculated for each block. Then, in step S5, the feature amount for each block obtained in step S4 is compared with the standard feature amount obtained in step S2. That is, when δ is a positive constant, the block in which the feature amount exceeds (1 + δ) C _j , or (1-
δ) A block below C _j is detected as a block that is not in a normal state (C block that seems to be abnormal).

Then, in step S6, the block obtained in step S5 is marked as an abnormal C block and recorded in the database. That is, when a block mathematically separated by a certain distance or more is extracted in step S5, the block is extracted via the situation presenting unit 13 by the display unit 1.
9 is displayed. The user confirms the presence or absence of irritation by looking at this display. That is, the presence / absence of stimulation (change in biological information) is confirmed while observing the changes in the measurement data as shown in FIGS. 5A to 5D, and the blocks that are considered to have been stimulated are marked.

As described above, there is a difference (mathematic distance) of a predetermined value or more with respect to the standard feature amount of the standard section designated as the section where the user is not abnormal (normal) in step S1. The block corresponding to the feature amount is recorded in the database as a block that seems to be abnormal. This process is performed for all physiological and biological information (n pieces of physiological and biological information in this embodiment).

The data in the database thus generated can be appropriately displayed on the display device 19. At this time, for example, when a predetermined key of the keyboard 22 is operated to input a command for presenting physiological physiological measurement data, the situation presenting unit 13 executes the process shown in the flowchart of FIG.

First, in step S11, it is determined whether presentation data (data to be displayed) has been designated. That is, when the user designates the data to be presented on the display device 19, the user operates the keyboard 22 to make an input for the designation. If there is no particular need to specify, this specification input is omitted.

When it is determined in step S11 that the presentation data is not designated, the process proceeds to step S12, and the situation presenting unit 13 causes the situation monitoring monitor 4 to mark the most abnormal marking during the time being monitored. Three types of physiological biometric measurement data, which were the most, are selected. Then, the process proceeds to step S14, and the physiological biometric measurement data for 1 hour before and after that is selected centering on the time zone during which most abnormal marking processing was performed during the monitoring time, and the abnormal block is determined to be a normal block. It is displayed on the display 19 with a distinguishable mark or color. This allows, for example,
A graph as shown in FIG. 7 is displayed on the display unit 19.

In the display example of FIG. 7, the data x ₁ ,
For all three physiological biometric data of x ₂ and x _n ,
In the 30-minute period from 7:00 am to 7:30 am,
A mark (thick horizontal line in the figure) indicating that it is an abnormal block is attached. Further, in the physiological / biological measurement data x ₂ , markings that indicate abnormal blocks are also provided during the period from 8:00 to 8:30.

Furthermore, "confirm", "item", and "end" buttons are displayed in the upper right of the screen, and the lower part of the screen is
A "return" button is displayed on the left side, a "stop" button is displayed on the center, and a "forward" button is displayed on the right side.

As described above, when it is determined in step S11 that the presentation data is not designated, three types of physiological biometric measurement data with the most abnormal markings are selected and displayed. If is specified, in step S13,
The specified physiological biometric measurement data is selected, and in step S14, the abnormal block can be distinguished from the normal block mainly in the time zone in which the most abnormal marking type in the physiological biometric measurement data is the most. It is displayed with a blank mark or color.

In the state where such a display is performed, the process proceeds to step S15, and it is determined whether or not the user has operated the mouse 21 or the keyboard 22 to instruct the change of the display range, If YES is determined, the process proceeds to step S16, and the display is changed to the range corresponding to the command.

For example, when the "return" button is operated, the display range is changed so that the time becomes earlier,
On the contrary, when the "Forward" button is operated,
The display range is scrolled so that the later time is displayed. The "stop" button is operated when stopping this scroll.

By operating the mouse 21, the block can be enlarged and displayed for a predetermined time.

When it is determined in step S15 that the input for changing the display range is not made, the process proceeds to step S17, and it is determined whether or not the end of the operation is instructed. If the end is not instructed, the process returns to step S15 and the same process is repeatedly executed. If it is determined in step S17 that the end of presentation has been instructed, the process ends.

The above embodiment is an example in which only physiological and biological measurement data is presented, but in addition to this, the status information monitored and output by the status monitoring monitor 4 is also recorded in the status data recording unit 12. If so, both of them can be displayed. FIG. 8 shows a processing example in this case.

First, in step S31, it is determined whether or not the presentation data is designated by the user. If it is determined that the presentation data is not designated, the process proceeds to step S32, and preset default information monitoring is performed. Monitor data and physiological biometric measurement data with the most abnormal markings during the monitoring time are selected for each of two types. When it is determined in step S31 that the presentation data is designated, the process proceeds to step S33, and the designated situation monitoring monitor data and physiological biometric measurement data are selected.

After the selection process is performed in step S32 or S33, the process proceeds to step S34, and one hour before and after the physiological body, one hour before and after the time zone in which the most abnormal marking type was most during the monitoring time. The measurement data and the monitor data for situation monitoring in the same time zone are selected, and a block that seems to be abnormal is displayed with a mark or a color that distinguishes it from a normal block. Thereby, for example, in FIG.
The display as shown in FIG.

In the display example of FIG. 9, an image of an object falling from the line at 9:30 and the line speed decreasing during the 30-minute period from 9:30 to 10:00. The status of the device shown is the status data recording unit 1
It is displayed as the data read from No. 2. In addition, physiological and biological measurement data x ₁ and x _n are displayed. Of these two measurement data, x ₁ is 9:30
The abnormal marking is made in the period of 30 minutes from 1 minute to 10:00, but the abnormal marking is not made in the measurement data x _n .

Next, in step S35, it is determined whether or not an input for changing the display range is made. When it is determined that the input to be changed is made, the process proceeds to step S36, the display is changed to the display range corresponding to the input, and the process returns to step S35. In step S35,
When it is determined that the input for changing the display range is not made, the process proceeds to step S37, it is determined whether or not the end is input, and when it is determined that the end is not input, the process returns to step S35. If it is determined in step S37 that the end has been input, the process ends. This is the same as in the display example of FIG. 7.

As described above, the user can appropriately refer to the physiological / biological measurement data or the condition monitoring monitor data registered in the database. Then, while looking at such data, the user should take measures to prevent such abnormalities (changes in physiological and biological information) from occurring, and prevent such abnormalities from occurring. What you can think of as a situation explanation input.

That is, for example, if the display device 19 is now displaying a situation presentation screen of physiological and biological measurement data as shown in FIG. 10, in this state, the user can see the display while looking at this display. The processing shown in the flowchart of 11 is executed.

First, in step S51, the user operates the mouse 21 to specify an abnormal block. In the display example of FIG. 10, the period from 7:00 to 7:30 is set as an abnormal block in all three measurement data. Therefore, for example, the user can measure the measurement data x ₁ from 7:00 to 7:03.
Move the cursor over the 0 minute block,
It is specified by clicking the mouse 21. Next, in step S52, the user confirms the designation by designating the "confirm" button displayed on the screen by moving the cursor on it and clicking it with the mouse 21. When this operation is performed, the process proceeds to step S53, and the situation presenting unit 13 switches the screen displayed on the display 19 from the situation presenting screen shown in FIG. 10 to the situation explanation screen shown in FIG. 12, for example.

As shown in FIG. 12, the situation presenting section 13
In the unusual block (period), the action (direct cause) performed by the worker is displayed on the left side of the screen, and the action (direct cause) performed immediately before the unusual period is displayed in the center of the screen. , Possible measures for avoiding occurrence of such an abnormality are displayed on the right side of the screen. Only the underline is displayed at the predetermined position in each of the three columns, and the user has performed the action (direct cause) at the position indicated by the underline when the physiological information is changed. , The action (indirect cause) that was being carried out immediately before that, or a measure to avoid an abnormality,
Input is performed in step S54 by operating the keyboard 22 and the tablet 24, respectively.

In step S54, when inputting on the situation explanation screen, think of the situation when it is confirmed that there was a stimulus in step S6 of FIG. 4, and what happens as a situation when the stimulus occurs. , Remember what happened just before that, and what you did to it, and enter it.

After such input is completed, step S
At 55, the user operates the "end" button displayed at the upper right of the situation explanation screen shown in FIG. At this time, the situation presentation unit 13 switches the display screen from the situation explanation screen shown in FIG. 12 to the situation presentation screen shown in FIG.

Next, in step S56, the user selects the "next item" button on the screen if necessary. When this button is selected, the most abnormal block next to the currently displayed block is searched for during the monitoring time and that block is displayed. From the newly displayed screen,
Similar to the case in step S51, when one block that seems to be abnormal is designated, the display screen is switched again from the situation presentation screen as shown in FIG. 10 to the situation explanation screen as shown in FIG. Then, the same situation explanation input as that performed in step S54 is performed.

In this way, the direct cause, the indirect cause, and the countermeasure corresponding thereto are input for each abnormal block.

After the above input is made for each of the blocks which seem to be abnormal, the process proceeds to step S57,
The user selects the "end" button. As a result, the situation input process ends.

When the situation explanation input as described above is performed in the situation explanation input unit 14, the totaling unit 15 totals the input data. Then, the law property presenting unit 16 extracts the rule property in which the block that seems to be abnormal is generated.

FIG. 13 shows a specific example of such rule extraction. In this embodiment, the number of times each worker is struck or struck during the period from February 10th to May 10th is divided into 24 hours and is shown in a histogram. In addition, the cumulative number of times when all the workers are shy or relieved is also shown by dividing by time.

As shown in FIG.
It can be seen that in the one-hour period from 0:00 to 12:00, there are the most number of times of grinning and embarrassment. Therefore, for worker A, from 11:00 to 12:00
Since the rule that there is a lot of grief and disappointment is established within one hour until the minute, the worker A, for example, often replies, "I often grin or regret between 11:00 and 12:00." A message such as "Yes" is created and presented on the display 20.

Further, as shown in FIG. 13, the worker B and the worker M have a high number of times of being scared or hated during the period from 15:00 to 16:00.
Therefore, the message "I often get scared or be scared between 15:00 and 16:00" is presented to the workers B and M.

Further, it can be seen from the histograms of all the workers (whole) that there is a rule that there is a lot of near-miss and harshness between 15:00 and 16:00. Therefore, the same message as in the case of the workers B and M is presented to the whole.

Further, the cause presenting unit 17 of the totaling unit 15 performs a process of estimating a direct cause of a near-missed or hitting event from the direct cause input from the situation explanation screen as shown in FIG. To do.

For example, as shown in FIG. 14, from the situation explanation input unit 14, the workers A to M are
Figure 1
It is assumed that the input as shown in 4 is made. FIG.
The character shown in parentheses in FIG. 4 is the character displayed on the right side of the underline in FIG.
In FIG. 4, the characters on the left side of the brackets represent the characters input by the user.

For example, the worker A is "the machine has runaway",
The inputs such as "There was a material leak" and "The furnace was touched" were made, and the worker B made inputs such as "Raised" and "There was a leak".

The cause presentation unit 17 prepares in advance a direct cause-related database (keyword database) as shown in FIG. This keyword is
It is composed of a representative keyword and a similar keyword. For example, similar keywords such as “runaway” and “rapid” are represented by the keyword “runaway”. Further, the similar keywords such as “leak” and “overfill” are represented by the keyword “leak”.

The cause presenting section 17 is as shown in FIG.
When the cause is directly entered, the entered characters are compared with similar keywords, and if there is a matching character,
Assuming that the representative keyword has been input, the direct cause input by each worker is systematically processed for each representative keyword. As a result, a histogram is generated as shown in FIG. The embodiment of FIG. 16 is from February 10th to 5th.
In the period of 10th of the month, the worker A to the worker M represent the frequency for each representative keyword input as the direct cause. Further, as shown in FIG. 16, the cause presentation unit 17
An overall histogram in which the frequencies of the workers A to M are summed is also created.

Then, the cause presenting section 17 displays the entire histogram on the display device 20 as shown in FIG. 17 as the estimation result of the direct cause of the squeaky or hazy event. In the display example of FIG. 17, since the frequency of “runaway” is the highest, a message such as “There were many runaways in the entire factory” is displayed together with the histogram.
In addition, the number of times of interest and the ratio are simultaneously shown in this message. In the display example of FIG. 17, the most frequent direct cause (“runaway”) is 20 times, and among all the workers, 100 runners are scared due to this “runaway”. It is shown to be 10 out of 10.

Although the above is the estimation process for the direct cause, the estimation process is similarly performed for the indirect cause. That is, for example, as shown in FIG. 18, as the indirect cause, for the worker A, the cause such as “nothing was done” or “the drain was closed” was input as the indirect cause. Has been done. Alternatively, with respect to the worker B, “I was sleepy” and “I had a feeling of fatigue” are input as indirect causes.

The cause presenting section 17 prepares in advance keywords for the indirect causes such as those shown in FIG. In this example,
Keywords such as "sleepiness" and "dullness" are
The keyword of "fatigue" is represented, and the keyword of the family of "hurry" is represented by the keyword of "aseri".

The cause presenting unit 17 classifies the indirect causes input as shown in FIG. 18 into representative keywords as shown in FIG. 19, and for each worker as shown in FIG. A histogram of indirect causes of workers is summarized for each representative keyword.

Then, as shown in FIG. 21, the cause presenting section 17 causes the display 20 to display a histogram of the indirect causes of all the workers, as an estimated result of the indirect causes. In this example, since the frequency of "fatigue" is the highest, this is considered to be the estimation result of the indirect cause. For this reason, the message “The entire factory is complaining of fatigue” indicates that the target frequency is 15 times and the ratio is 100.
It is also displayed together with the fact that there are 5 people.

Furthermore, the measure presenting section 18 of the counting section 15
The measures input from the situation explanation screen shown in FIG. 12 are totaled, and the process of estimating measures for a near-missed or hated event is executed as follows.

That is, as shown in FIG. 22, for example, as the countermeasures, the countermeasures such as "a periodic inspection should be performed" and "no action was taken" are input for the worker A. For worker B, countermeasures such as "a break room should be provided" and "continuous operation should be stopped" are input. The countermeasure presentation unit 18 prepares in advance a database (keyword database) of a measure plan as shown in FIG. 23, and this database is also similar to the case shown in FIG. 15 or FIG. It is composed of a keyword and a representative keyword.
For example, keywords such as “maintenance” and “inspection” are typified by the keyword “regular inspection”, and keywords like “rest” and “continuous” are keywords for “fatigue measures”. Be represented.

The countermeasure presenting section 18 searches the database shown in FIG. 23 for the input of the countermeasure plan as shown in FIG. 22, and as shown in FIG. 24, displays the histogram of the countermeasure plan for each worker and the whole worker. create. Further, as shown in FIG. 25, an entire histogram and a message including a representative keyword having the highest frequency in the entire histogram are displayed.
It is displayed as the estimated result of the countermeasure plan. In the embodiment of FIG. 25, the frequency of "countermeasures against fatigue" is the highest, so the message "Request for measures against fatigue in the entire factory" is displayed as the estimated result of the countermeasure plan. Also in this case, it is shown that the target event of “countermeasure against fatigue” was 12 times and the ratio was 1 out of 100 people.

As described above, as a result of the user performing a predetermined input corresponding to the situation explanation screen shown in FIG. 12, the direct cause, the indirect cause, and the estimated result for the countermeasure plan corresponding to the input are obtained. It has been done.

In the above description, as shown in FIG. 12, some patterns of sentences are prepared in advance by predicting the characters to be input on the situation explanation screen, and the predetermined characters are provided in the blank portions. By inputting, the direct cause,
Although the indirect cause and the countermeasure plan are input, they can be input freely.

For example, as shown in FIG. 26, it is assumed that the physiological / biological measurement data read from the database of the physiological / biological information analysis section 11 is displayed on the display device 19. When the user sees this display and inputs the situation explanation, for example, the process shown in the flowchart of FIG. 27 is executed.

First, in step S71, the user uses the mouse 21 to specify an abnormal block. Then, in step S 72, the “confirm” button displayed on the screen of the display device 19 is designated by the mouse 21.
Then, in step S73, the situation presenting unit 13
The screen displayed on the display 19 is switched from the situation presentation screen shown in FIG. 26 to the situation explanation screen as shown in FIG. The user then uses the keyboard 22 and the tablet 2
Operate 4 etc. as appropriate to freely enter the direct cause, indirect cause and countermeasure. That is, as is apparent by comparing FIG. 28 with FIG. 12, the display example of FIG. 28 does not include some patterns of the text to be input, and the user thinks and thinks directly about the cause. Enter a description of the indirect cause and countermeasure.

When such input is completed, the process proceeds to step S74, and the user selects the "end" button.
At this time, the situation presentation unit 13 switches the display screen from the situation explanation screen shown in FIG. 28 to the situation presentation screen shown in FIG.

Then, proceeding to step S75, the user operates the "next item" button to search for the next most abnormal block after the currently displayed block. Then, for the new block, step S71
When the designation operation is performed in the same manner as in the case, the situation explanation screen as shown in FIG. 28 is again displayed on the display device 19. Then, the user is free to input the direct cause, the indirect cause and the countermeasure corresponding to the newly designated block.

When such input is completed, the process proceeds to step S76, and "End" is displayed on the situation presentation screen shown in FIG.
If the button is operated, the situation input process is ended.

Next, an explanation will be given of the direct cause and countermeasure estimation process in the case where the free situation explanation screen is input in this way.

Now, for example, as shown in FIG. 29, as a direct cause, on February 10, the sentence "I was tired at that time and I jumped out of the corner" was input. On the 5th, the input "When I turned to the right, I matched the bees" was entered.

The cause presenting section 17 is as shown in FIG.
We have prepared keywords that will cause a near-miss or hated event and keywords that will be countermeasures. In this embodiment, the keyword is composed of a related word and the keyword is composed of a parent word. The keyword of the related word is represented by the parent word.
In addition, each keyword is divided into three, an adjective verb, a verb, and a scene. The adjective verb is for cause and the verb and scene are for countermeasures.

For example, the keywords of the related words such as "Aseri" and "Asita" are represented by the adjective parent word of "Aseri". Keywords of related words such as "hurry" and "urgent" are represented by the adjective parent word of "hurried". As a keyword of the related word for this cause, a dangerous state is arranged.

As related words of the verb, "one leg jump",
Dangerous acts such as "jumping out" are lined up. Alternatively, nouns can be arranged. In this embodiment, "jump one leg" means "jump one leg".
Is represented by the parent word of, and the related word of “pop” is represented by the parent word of “pop”.

Further, as related words in the scene, dangerous scenes such as "turn" and "curve" are arranged. Alternatively, verbs can be arranged as related words. The keywords of the related words such as “bend” and “curve” are represented by the parent word of “turning angle”.

When the direct cause or countermeasure is input by free input as shown in FIG. 29, the cause presenting section 17 performs the processing shown in the flowchart of FIG. 31 to execute the direct cause and countermeasure estimation processing. To do.

First, in step S91, the cause presenting section 17 determines a match between a freely input character (character in FIG. 29) and a database keyword (keyword in FIG. 30). When the matched keyword exists, the parent word corresponding to the keyword is extracted in step S92. Next, step S93.
Proceed to step to collect parent words for a certain period and create a histogram. That is, this histogram is the direct cause estimation result. Thereby, for example, a histogram as shown in FIG. 32 is created and displayed on the display unit 20.

In the display example of FIG. 32, the state, the action,
In each of the scenes, the parent words of "Ashiri", "jump out" and "turning corner" are the most frequently used keywords.

Next, in step S94, the parent word in the most frequent state is displayed as the direct cause estimation result, and the most frequent scene and action parent words are displayed as the countermeasure estimation result. FIG. 33 shows a display example in this case.

That is, in the display example of FIG. 33, the message of the estimation result of "I have a lot of frustration" is displayed using "Frustration" which is the parent word in the most frequent state as the cause. In addition, as a countermeasure, the message "Let's be careful about jumping out at the corner" is used by using "turning angle" which is the parent word of the most frequent scene and "jumping" as the parent word of the most frequent action. It is displayed as an estimation result.

Next, in step S95, the user
It is determined whether to understand the estimation result (FIG. 33) displayed in step S94. If the user cannot understand the estimation result in step S94, step S94
Proceed to 96 to newly enter the cause and countermeasure. After that, the process returns to step S91, and the subsequent processes are repeatedly executed.

That is, as shown in FIG. 33, on the screen displayed in step S94, in addition to the message of the estimated result of the cause and the countermeasure, "Do you understand? If not, enter the cause and the countermeasure." Please do so ”message is displayed. When the user cannot understand the estimation result, he / she can freely input the cause and countermeasure.

In step S96, when it is necessary to read the physiological / biological measurement data presentation screen to input the cause and countermeasure, the "data confirmation" button displayed at the lower left of the screen in FIG. 33 is clicked with the mouse 21. . At this time, the situation presenting unit 13 causes the display device 19 to display a situation confirmation screen as shown in FIG. 34, for example. On this display screen, the measurement results and time of the last 3 days are displayed. If the date on the screen is clicked with the right click button of the mouse 21, the display on the screen is returned by one day, and if it is clicked with the left button, the day is advanced.

In step S95, when the user understands the estimation result, the process ends.

As in the embodiment of FIG. 31, the cause presentation unit 17
The estimated result performed by the countermeasure presentation unit 18 is determined by the user as to whether the cause or countermeasure is the true cause, and if the result is incorrect, the cause and the countermeasure are input again.
The accuracy of the estimation result can be further improved. Such feedback based on the user's judgment can be applied to the estimation of the law.

As described above, the work environment can be improved by actually taking the estimated measures appropriately.

In addition to the above, when an individual takes a predetermined action such as driving a car or riding a bicycle,
The present invention can also be applied to a case where a point to be noted in a behavior tendency is urged to improve a behavior pattern.

[0098]

As described above, according to the information notification system and the information notification method described in claim 1, the situation information corresponding to the change of the biological information is extracted and notified. Therefore, when an abnormality occurs, it is notified not only to prevent the occurrence of an accident, but also to improve the situation itself or the behavior of the person being measured so that such an accident is less likely to occur. It is possible to improve the pattern.

[Brief description of drawings]

FIG. 1 is a block diagram showing a configuration example of an information notification system of the present invention.

FIG. 2 is a diagram showing a change in skin impedance.

FIG. 3 is a diagram illustrating a signal flow in the embodiment of FIG.

FIG. 4 is a flowchart illustrating a process of calculating a feature amount and confirming a location where a stimulus is present.

FIG. 5 is a diagram for explaining changes in physiological / biological information.

FIG. 6 is a flowchart illustrating a physiological biometric measurement data presentation process.

FIG. 7 is a diagram showing a display example of a situation presentation screen.

FIG. 8 is a flowchart illustrating a process of presenting physiological biometric data and monitor data for situation monitoring.

FIG. 9 is a diagram showing another display example of the situation presentation screen.

FIG. 10 is a diagram showing still another display example of the situation presentation screen.

FIG. 11 is a flowchart illustrating a situation description input process.

FIG. 12 is a diagram showing a display example of a situation explanation screen.

FIG. 13 is a diagram illustrating an extraction process of periodic law.

FIG. 14 is a diagram showing an input result of a direct cause.

FIG. 15 is a diagram showing a database of direct cause keywords.

16 is a direct cause histogram corresponding to FIG.

FIG. 17 is a diagram showing a display example of an output screen showing an estimation result of a direct cause.

FIG. 18 is a diagram showing an input result of an indirect cause.

FIG. 19 is a diagram showing a database of keywords of indirect causes.

20 is a histogram corresponding to FIG.

FIG. 21 is a diagram showing a display example of an output screen of an indirect cause estimation result.

FIG. 22 is a diagram showing an input result of a countermeasure plan.

FIG. 23 is a diagram showing a database of keywords of countermeasure plans.

FIG. 24 is a histogram corresponding to FIG. 22.

FIG. 25 is a diagram showing a display example of an output screen of an estimated result of a countermeasure plan.

FIG. 26 is a diagram showing another display example of the situation presentation screen.

FIG. 27 is a flowchart showing a situation description input process.

FIG. 28 is a diagram showing another display example of the situation explanation screen.

FIG. 29 is a diagram showing a direct cause of free input.

FIG. 30 is a diagram showing another example of a keyword database.

FIG. 31 is a flowchart illustrating a direct cause / countermeasure estimation process.

FIG. 32 is a histogram corresponding to FIG. 29.

FIG. 33 is a diagram showing a display example of an output screen of an estimated result of direct causes and countermeasures.

FIG. 34 is a diagram showing a display example of a status confirmation screen.

[Explanation of symbols]

 1 Physiological and Biological Information Sensor 2 Physiological and Biological Information Recording Unit 3 Data Processing Device 4 Situation Monitoring Monitor 11 Physiological and Biological Information Analyzing Unit 12 Situation Data Recording Unit 13 Situation Presenting Unit 14 Situation Explanation Inputting Unit 15 Aggregating Unit 16 Law Proposing Unit 17 Cause Presentation unit 18 Measure presentation unit 19,20 Display 21 Mouse 22 Keyboard 23 Microphone 24 Tablet 25 Input device

 ─────────────────────────────────────────────────── ─── Continuation of the front page (72) Yutaka Haga, No. 10 Hanazono Todo-cho, Ukyo-ku, Kyoto, Kyoto Prefecture Omron Co., Ltd. (72) Masamitsu Kamo No. 10 Hanazono Todo-cho, Ukyo-ku, Kyoto, Kyoto Omron Within the corporation

Claims (8)

[Claims] 1. A measuring unit for continuously measuring biological information of a measurement target person, a biological information recording unit for recording the biological information measured by the measuring unit, and situation information around the measurement target person. Monitoring means for monitoring, status information recording means for recording status information monitored by the monitoring means, extraction means for extracting the status information corresponding to changes in the biological information, and extraction means by the extraction means An information notifying system comprising: a notifying unit for notifying the situation information. 2. The method according to claim 1, further comprising law detecting means for detecting the law of change of the biological information from the situation information recorded in the situation information recording means.
Information notification system described in. 3. The information notification according to claim 1, further comprising cause detection means for detecting the cause of the change of the biometric information from the situation information recorded in the situation information recording means. system. 4. A measure for suppressing changes in the biological information,
The information notification system according to claim 1, further comprising: a countermeasure detection unit that detects from the situation information recorded in the situation information recording unit. 5. The biometric information of the measurement target person is continuously measured, the measured biometric information is recorded, status information around the measurement target person is monitored, and the status information being monitored is recorded. An information notification method is characterized in that the status information corresponding to a change in the biological information is extracted, and the extracted status information is notified. 6. The information notifying method according to claim 5, wherein the law of change of the biological information is further detected from the recorded situation information. 7. The information notification method according to claim 5, further comprising detecting the cause of the change of the biological information from the recorded situation information. 8. A measure for suppressing a change in the biological information,
The information notification method according to claim 5, 6 or 7, further comprising detecting from the recorded situation information.