JP2013080305A - Abnormal state detector for worker and abnormal state management method at work site - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide an abnormal state management device for a worker capable of displaying an abnormal state of the worker which may occur at a work site.SOLUTION: There are provided a storage part for storing process management information and drawing information on a work site, a communication part for receiving biological information, and location information and time information associated with the biological information, from a worker terminal which includes a biological sensor 1 and is attached to a worker during work, a drawing production part 7 for producing a process drawing of the work site at specified time corresponding to the time information, a selection part 8 of a site environment drawing for selecting the process drawing which corresponds to a work area on the basis of the drawing information on the work site and the location information, a recognition part 2 of an abnormal state for associating an abnormal state of the biological information with the process drawing selected by the selection part 8 of the site environment drawing, when the biological information is detected as in the abnormal state, and storing the associated information in the storage part as storage information of the abnormal state, and display data production part 11 for producing display data which indicates a dangerous process in the process management information or a dangerous area in the work site on the basis of the storage information of the abnormal state.

Description

  The present invention collects information on an abnormal state of a worker at a work site, and presents an abnormal state of the worker that can occur at the work site, and an abnormal state management of the worker site Regarding the method.

  In the present invention, the “abnormal state” of the worker does not reach the level of injury, such as stumbling or slipping, or an object falling over, but in the normal worker's working environment. It means a state where it does not occur, or a state where the worker has actually been damaged, such as when an operator falls or is injured by being caught in an object.

  The former is called “near-miss accidents”, and Heinrich's law is known in which 300 near-miss hats are hidden in one serious accident. Serious accidents rarely occur at actual work sites. For this reason, even if you analyze an accident that actually occurred and use it as a material for future disaster prevention, you cannot perform analysis that seems to be small in number of samples.

  Therefore, attempts have been made to collect near-miss incidents, which are reserves for serious accidents, by self-reporting workers, but be wary of differences in the perception of near-miss incidents among workers and the disadvantages of reporting near-miss incidents. It is hard to say that near misses are collected with sufficient accuracy.

  Further, Patent Document 1 and Patent Document 2 show a method for automatically collecting near misses. In Patent Document 1, a physiological / biological information sensor is attached to an operator, and a condition for recognizing a near-miss is determined in advance in the output value of the physiological / biological information sensor, and the near-miss is recognized. When it is recognized as a near-miss, it is accumulated along with video and time information showing the state, and the cause of the near-miss is investigated.

  In Patent Document 2, a dynamic sensor (for example, an acceleration sensor) is attached to an operator, and the work content is recognized from the waveform data. At this time, since there are innumerable human work contents, the worker's work items that can be estimated from the worker's schedule information such as work instructions are limited to the recognition items, and the recognition process for these items is performed.

  Furthermore, in patent document 3, there exists an example of the recognition method of near-miss while driving | running | working a vehicle. A biometric information acquisition device is attached to the driver. Using this biological information acquisition apparatus, a near-miss is recognized in the same manner as in Patent Document 1. All the drivers traveling around the vehicle are equipped with the biometric information acquisition device and the environmental information acquisition device, and the vehicle causing the near-miss is identified by the inter-vehicle distance and relative speed.

JP-A-9-276234 (FIG. 1) JP 2010-148604 A (FIG. 1) JP 2008-234414 A (FIG. 1)

  It is an important issue in terms of safety management to present to the worker where a disaster is lurking in the work site and before the occurrence of a serious accident. The work site here is not only the work site where the production line is fixed, but also the work where the work environment changes from moment to moment as the construction process progresses, such as the construction site. The site is also targeted.

  With the method disclosed in Patent Document 1, it is possible to present to the operator a frequency distribution of times at which near-misses are likely to occur based on time information. However, there is no particular mention of places where near-misses are likely to occur. In addition, this near-miss detection method determines a condition for recognizing a near-miss as an output value of a physiological / biological information sensor in advance and recognizes it. Therefore, even if a near-miss other than a predetermined condition occurs, it cannot be detected.

  In the method disclosed in Patent Document 2, since the work items are limited based on the work schedule of the worker, an abnormal state (near-miss) that is not related to the work items cannot be recognized.

  The method disclosed in Patent Document 3 is intended to detect a near-miss related to traffic traveling on a road rather than a work site. The acquired position information is used for the relative positional relationship and speed change of other related vehicles. However, it is not a configuration for detecting where a disaster is lurking in the work site, which is the subject of the present invention. The construction work site is a place where the work environment changes from moment to moment. If it is replaced with a road, the environment is such that the road network changes with time, but it is considered that such time-series environmental changes are not sufficiently considered.

  The present invention is an invention for solving the above-described problem, and collects information on the abnormal state of the worker at the work site and presents the abnormal state of the worker that may occur at the work site. It is an object of the present invention to provide an abnormal state management device for a person and an abnormal state management method for a work site.

  In order to achieve the above object, an abnormal condition management apparatus for an operator is an apparatus for managing an abnormal condition of an operator at a work site, and includes process management information (for example, a process management DB 5) of a work process and a work site. Communication for receiving biometric information and position information associated with the biometric information from a worker terminal worn by the worker during work, including a storage unit that stores drawing information (for example, the drawing DB 6 of the work site) and a biometric sensor When the received information includes time information that can specify the time, the time information determined by the time information or the reception time, the process management information, and the drawing of the work site Based on the information, a drawing generation unit that generates a process drawing of the work site corresponding to the time information (for example, the drawing generation unit 7 of the work site at a specified time), and the position information of the generated process drawing And a selection part of the on-site environment drawing for selecting the process drawing corresponding to the work area based on the time information, and whether or not the biological information is in an abnormal state. In association with the process drawing selected by the selection unit, an abnormal state storage unit (for example, an abnormal state recognition unit 2) that accumulates in the storage unit as abnormal state storage information (for example, abnormal state storage DB 9), And a display data generation unit that generates display data for informing a dangerous process or a dangerous part of a work site in the process management information based on the accumulated information of the state.

  ADVANTAGE OF THE INVENTION According to this invention, while gathering the information of the abnormal condition of the worker in a work site, the abnormal state of the worker which can generate | occur | produce in a work site can be shown.

It is a figure which shows the processing block of the abnormal condition management of this embodiment. It is a figure which shows an example of the Gantt chart of process management DB. It is a figure which shows an example of the drawing of the work site stored in drawing DB of the work site. It is a figure which shows the example of the production | generation drawing before area A temporary scaffold construction. It is a figure which shows the example of the production | generation drawing after area A temporary scaffold construction. It is a figure which shows the example of the production | generation drawing after area A floorboard construction. It is a figure which shows the example of the production | generation drawing after the temporary scaffold construction for apparatus B assembly. It is a figure which shows the example of the production | generation drawing after the apparatus B assembly. It is a figure which shows the example of the production | generation drawing after the temporary scaffold for apparatus B assembly removal. It is a figure which shows the example of a waveform of the stumbling in walking. It is a figure which shows the result of having performed the time frequency analysis. It is a figure which shows an operator's movement locus | trajectory. It is a figure which shows the occurrence frequency of the abnormal condition for every process. It is a figure which shows the generation | occurrence | production location of the abnormal state of a work site. It is a figure which shows the processing block which estimates generation | occurrence | production of an abnormal condition from the log | history performed in the past. It is a figure which shows the apparatus structure of this embodiment. It is a figure which shows the example of attachment of a self-position sensor. It is a figure which shows the other example of attachment of a self-position sensor. It is a figure which shows the apparatus structure in the case of using a position detection system. It is a figure which shows an example of accumulation | storage DB of an abnormal condition. It is a figure which shows the example of the generation frequency for every area.

Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.
(Embodiment 1)
FIG. 1 is a diagram illustrating processing blocks for abnormal state management according to the present embodiment. The operator's abnormal state management device 100 includes a process management DB (Data Base) 5 (drawing management information) for storing work processes in a storage unit, and a drawing DB 6 (work drawing information on the work site) for storing work site drawings. ), An abnormal state that has an abnormal state accumulation DB 9 (abnormal state accumulation information) that is a database of abnormal states of workers, and recognizes whether or not it is an abnormal state based on information of the biosensor 1 as a processing unit. It has a recognition unit 2 (accumulation unit for abnormal state), a drawing generation unit 7 for a work site at a specified time, a selection unit 8 for a site environment drawing, and a display data generation unit 11. Moreover, the operator's abnormal state management apparatus 100 includes a display unit 10 and an input unit (not shown).

  The on-site environment drawing selection unit 8 selects a drawing corresponding to a work area or a floor position based on the position information of the worker by the self-position sensor 3. Further, based on the time information of the time generator 4, a work site at the corresponding time is generated and a site environment drawing around the worker is specified.

  The display data generation unit 11 performs a visualization process on the contents of the abnormal storage DB 9. The display data generation unit 11 generates display data (see FIG. 13) for notifying the dangerous process of the work process, display data (see FIG. 14) for notifying the dangerous part of the work site, and the like based on the accumulation DB 9 of the abnormal state. The display data generation unit 11 combines the generated display data and the drawing information generated by the drawing generation unit 7 at the work site at the specified time, and displays them on the display screen of the display unit 10.

  The worker has an abnormal state management terminal 161 (see FIG. 16) of the worker at the time of work. The operator's abnormal state management terminal 161 is configured to include a biological sensor 1, a self-position sensor 3, a time generator 4, and a communication unit (not shown) surrounded by a broken line 13. The biosensor 1 is a sensor that detects a dynamic operation of an operator or a sensor that detects a psychological / physiological state. An acceleration sensor, a gyro sensor, or the like may be used as an example of a sensor that detects a dynamic motion. By attaching this sensor to the worker, acceleration and angular velocity corresponding to the movement of the worker's body can be obtained. In addition, as an example of the biosensor 1, a brain waveform, a pulse meter, a sensor that measures skin impedance, or the like may be used.

  The self-position sensor 3 is a sensor that detects the work position of the worker. For example, a wireless or infrared transmitter may be arranged in the work area, and a sensor that detects the worker's own position based on distance and angle information between the worker and the transmitter may be used. A sensor that estimates the position of the worker in the work space from the camera installation position and the position of the worker projected on the image may be used. That is, it is not limited to a specific thing. The time generator 4 is a device that outputs time information. It is used to specify the time when the biosensor 1 is output.

  Note that the operator's abnormal state management terminal 161 shown in FIG. 16 may be equipped with a function surrounded by a broken line 13 in FIG. 1 or an area surrounded by a two-dot chain line 12. Will be described later with reference to FIGS.

  FIG. 2 is a diagram illustrating an example of a Gantt chart in the process management DB. The horizontal axis represents time, and the vertical axis represents process contents. For example, the area A temporary scaffold construction work indicates that the work start starts at time a (21) and the work is finished by time b (22). This process schedule schedules the process time at the start of construction, but if the work is delayed or conversely ends early, the start time of the subsequent process of that process is corrected. The Gantt chart is a kind of bar graph, which is a table used for process management in project management, production management, and the like, showing the progress of work with horizontal bars.

  FIG. 3 is a diagram illustrating an example of a drawing of the work site stored in the drawing DB of the work site. In the drawing of the work site, the floor 32 of the area A, the pillar 31 that supports the floor of the area A from below, and the device B (30) installed on the floor surface of the area A are described. If it is a design drawing, a top view can be used.

  The normal drawing is a completed drawing at the time of completion of construction as shown in FIG. 3, but it may be a map describing arrangement information of objects at the work site. In the present embodiment, drawings on the site that change from moment to moment are used. Therefore, the work site drawing generation unit 7 at the designated time processes the work site drawings in the work site drawing DB 6 using the process management DB 5. In the shape shown in the drawing of FIG. 3, it is assumed that attributes are defined for each part such as a floor, a device, and a pillar. In addition, in the drawing of the work site in the drawing DB 6 of the work site, it is assumed that, in addition to the drawing shown in FIG. 3, a drawing describing the installation position of a temporary object such as a temporary scaffold is also registered.

The drawing generation process at each time of the drawing generation unit 7 of the work site at the designated time is performed as follows. Reference is made to FIG. 2 as appropriate.
FIG. 4 is a diagram illustrating an example of a generated drawing before construction of the area A temporary scaffold. FIG. 5 is a diagram illustrating an example of a generation drawing after construction of the area A temporary scaffold. FIG. 6 is a diagram illustrating an example of a generation drawing after construction of the area A floorboard. FIG. 7 is a diagram illustrating an example of a generated drawing after construction of the temporary scaffold for assembling the apparatus B. FIG. 8 is a diagram showing an example of a generated drawing after assembling apparatus B. FIG. 9 is a diagram illustrating an example of a generated drawing after the temporary scaffold for assembly of the apparatus B is removed.

  At time a (21) shown in FIG. 2, the drawing is generated before the construction of the area A temporary scaffolding, and thus only the attributes of the pillar 31 supporting the floor of the area A are left from FIG. The generated drawing is as shown in FIG. The time b (22) shown in FIG. 2 is the area A temporary scaffold construction completion time. Therefore, as shown in FIG. 5, a drawing in which the shape of the temporary scaffold 50 is added in addition to the pillar 31 is generated and output. By performing the same processing thereafter, FIG. 6 in which the temporary scaffold 50 is removed and the floor (32) of the area A is added at time c (23) shown in FIG. 2 is obtained at time d (24) shown in FIG. FIG. 7 in which the device B assembly temporary scaffold (70) is added, and FIG. 8 in which the device B (30) is added to the temporary scaffold (70) at time e (25) shown in FIG. At time f (26), which is the work end time of area A shown in FIG. 2, the temporary scaffold (70) is removed and FIG. 9, which is the same drawing as FIG. 3, is output. By performing such processing, it is possible to output a drawing of the site that changes from moment to moment.

Next, the processing of the abnormal state recognition unit 2 will be described.
For the recognition method, an abnormal state item is provided in advance, and when sensor information close to that item is output, a method of recognizing that an abnormal state has occurred or a normal state is always recognized, and the state is deviated from that state. A method of recognizing an abnormal state when such a recognition result is obtained is used.

  As the former method, for example, the method used in Patent Document 2 can be used. In Patent Document 2, an acceleration change of an operator is observed using an acceleration sensor. Based on work process information such as work instructions, the operator's action items to be performed in this process are narrowed down, and the recognized action items are subjected to recognition processing using techniques such as frequency analysis and correlation processing.

  In the present embodiment, unlike the work contents of this process (refer to the process management DB 5 in FIG. 1) such as “stumbling”, “falling”, “jumping”, etc., the action items may lead to disasters. The action item is added as a recognition item of the recognition unit 2 in the abnormal state.

  FIG. 10 is a diagram illustrating an example of a tripping waveform during walking. The horizontal axis represents elapsed time, and the vertical axis represents the acceleration change in the vertical direction of the acceleration sensor attached to the worker. During normal walking motion, periodic acceleration peak values such as peaks 100 and 101 appear. However, when a stumbling occurs, unlike the peaks 100 and 101, a waveform having no periodicity is observed as indicated by 102. Therefore, when such a waveform is observed, the abnormal state recognition unit 2 recognizes that “stumbling” has occurred. As a recognition method, a time-frequency analysis is performed, and if a spectrum other than the gait spectrum occurs, it is recognized as “stumbling”.

  FIG. 11 is a diagram showing the results of time frequency analysis. The horizontal axis represents frequency, the vertical axis represents spectrum intensity, and depth represents time. When walking, a beautiful spectrum indicating the pace period is generated as in the waveform 110. However, when a trip such as the waveform 102 of FIG. 10 occurs, a spectrum such as the waveform 111 stands at a frequency other than the conventional pace spectrum. Therefore, the abnormal state recognition unit 2 can recognize the occurrence of the trip depending on whether or not such a spectrum stands.

  Here, an example of a recognition method has been described taking an acceleration sensor as an example, but “surprise” may be recognized using the waveform shape of an electroencephalogram generated when “surprised” with an electroencephalograph, and the impedance of the skin is determined. You may observe it and recognize it using the impedance change of the skin that occurs when it is considered “smiling”.

  Another recognition method, that is, a method of recognizing a normal state and recognizing an abnormal state when leaving the state is performed as follows. As an example, a method for recognizing using a change in the movement trajectory of the worker will be described.

  FIG. 12 is a diagram illustrating the movement trajectory of the worker. Trajectories 120, 121, 122, and 123 are the movement trajectories of the respective workers. This is an example in which there is a work passage and an operator passes there. The trajectories 120, 121, and 122 pass through substantially the same route, but the trajectory 123 moves in a region 124 following a different trajectory from the other three people. That is, the abnormal state recognition unit 2 estimates that an event different from that of the other three people occurs in the region 124 and recognizes this as an abnormal state. It cannot be determined from this movement trajectory what has occurred. Therefore, the operator may be interviewed later to investigate the cause of the event, or it may be recognized as an abnormal condition with the cause unknown. Since some unusual events occur while the cause is unknown, it can be used as it is as a statistical index for abnormal conditions.

  Note that the same processing can be performed in cases other than the movement locus. For example, it is possible to recognize that an abnormal state has occurred when a brain wave is constantly monitored and a waveform different from the waveform of the conventional brain wave is observed even though there is no change in the process.

  The results recognized by the abnormal state recognition unit 2 include process information, the site environment in the vicinity of the worker selected by the site environment drawing selection unit 8 (the progress of assembly of the corresponding drawings, surrounding structures and devices) and self Along with the position information detected by the position sensor 3 and the time information acquired from the time generator 4, it is registered in the storage DB 9 of the abnormal state.

  FIG. 20 is a diagram illustrating an example of an accumulation DB in an abnormal state. The abnormal state storage DB 9 includes the date and time of occurrence of the abnormal state, the worker ID, the position coordinates of the occurrence of the abnormal state, the process, the drawing ID, and the abnormal state. It should be noted that the worker ID is determined even if the worker abnormal state management apparatus 100 shown in FIG. 16 specifies the worker ID registered in the database from the received identification ID of the worker abnormal state management terminal 161. Alternatively, when the abnormal state management terminal 161 of the worker transmits information on the biosensor 1 (see FIG. 1), the information may be transmitted in association with the worker ID. ID is an abbreviation for identification.

  Referring to FIG. 20, specifically, when the worker ID is 10234, an abnormal state of “stumbling” is registered in the area A floorboard construction at 17:32 on January 20, 2011. When the worker ID is 10221, an abnormal state of “stumbling” is registered in the area A floorboard construction. From this, it can be seen that the locations where there is a risk of “stumbling” can be accumulated in the work process of the area A floorboard construction.

Next, the visualization process of the display data generation unit 11 will be described.
FIG. 13 is a diagram illustrating the frequency of occurrence of an abnormal state for each process. The display data generation unit 11 accumulates the accumulated number of abnormal states for each process as shown in FIG. 13 by accumulating based on the process information for each abnormal state recorded in the abnormal state storage DB 9. (See FIG. 1). Referring to FIG. 13, it can be read in which process the most abnormal state has occurred. Also, the current time is the position of time 130 (the cumulative occurrence frequency after time 130 is not displayed at the time of this example). In the process 20 and the process 131 before the current process, there is no sudden increase in the cumulative number of occurrences occurring near the time 130. Accordingly, the processing unit can predict that there may be some problem in the current process by looking at this trend.

  FIG. 21 is a diagram illustrating an example of the occurrence frequency for each area as another display example. It is a figure showing the accumulation occurrence frequency of the recognition item for every area based on information of accumulation DB9 of abnormal state. The occurrence frequency of the abnormal state for each area can be read from this figure. Specifically, it can be understood that many “stumbling” abnormal states occur in area B, and many “jumping” abnormal states occur in area A.

  FIG. 14 is a diagram illustrating a location where an abnormal condition occurs in the work site. FIG. 14 is a diagram showing the occurrence state of the abnormal state that occurred at the time 130 shown in FIG. A location 140 is where the abnormal state occurs. This is because the display data generation unit 11 selects the drawing corresponding to FIG. 7 using the information selected and specified by the selection unit 8 of the on-site environment drawing, and on the drawing based on the position information where the abnormal state is detected. The location of the occurrence is plotted. Abnormal conditions frequently occur at positions surrounded by broken lines in the region 141, and the temporary scaffolding 70 narrows the passage, and it is estimated that some abnormal condition has occurred in the operator. In the present embodiment, the drawing of the work environment is updated as the process progresses. Therefore, the occurrence state of the abnormal state can be displayed on the drawing showing the field environment at that time. Such estimation is possible.

  FIG. 16 is a diagram illustrating a device configuration of the present embodiment. The worker 160 has a worker's abnormal state management terminal 161 attached to the worker. The worker's abnormal state management device 100 receives transmission data from the worker's abnormal state management terminal 161 via the wireless communication device 162 (communication unit). As described above, the operator's abnormal state management terminal 161 may be equipped with a function surrounded by a broken line 13 in FIG. 1 or an area surrounded by a two-dot chain line 12.

  When the function surrounded by the broken line 13 shown in FIG. 1 is mounted, the biological sensor 1, the self-position sensor 3, and the time generator 4 are mounted on the operator's abnormal state management terminal 161. The data collected by the biosensor 1 and the self-position information detected by the self-position sensor 3 are sent to the operator's abnormal state management apparatus 100 via the wireless communication unit together with the collection time information obtained from the time generator 4. The operator's abnormal state management device 100 performs processes other than the broken line 13 such as an on-site environment estimation process including the abnormal action recognition unit 2 to display the abnormal state on the display unit 10.

  In this method, since the abnormal state management terminal 161 side of the worker functions as a simple data collection device, the processing capability of the microcomputer mounted on the abnormal state management terminal 161 of the worker may not be so high. However, since the collected data is sent as it is through the wireless communication unit, it is necessary to ensure a communication speed that does not cause data loss.

  In FIG. 16, the collected data is sent to the worker's abnormal state management apparatus 100 by wireless communication. However, a means for storing the collected data is provided in the worker's abnormal state management terminal 161, and the worker 160 The collected data may be logged in this storage means during the work, and the recorded contents may be transferred to the operator's abnormal state management apparatus 100 after the work is completed.

  When the function enclosed by the two-dot chain line 12 shown in FIG. 1 is mounted, the abnormal state recognition unit 2 in addition to the biological sensor 1, the self-position sensor 3, and the time generator 4 are added to the abnormal state management terminal 161 of the worker. Is installed. First, based on the time information of the time generator 4 (which may be the current time information of the worker's abnormal state management device 100), the abnormal state estimated in the process of the process information (work instruction, etc.) to be performed by the worker from now on Recognition items (such as “stumbling”, “falling”, and “jumping”) are transmitted in advance to the operator's abnormal state management terminal 161 using wireless communication.

  When the worker's work is started, the abnormal state management terminal 161 of the worker executes recognition of the abnormal state using the abnormal state recognition unit 2 on the data collected using the biological sensor 1. The output recognition result and the self-position acquired by the self-position sensor are transmitted together with the collection time acquired from the time generator 4 to the operator's abnormal state management apparatus 100 via the wireless communication unit, and the subsequent processing is executed.

  Since this method transmits not the raw data collected from the biosensor 1 but the recognition result, it can be expected that the communication amount will be significantly reduced. Further, when a means for storing collected data (recognition result) is provided in the abnormal state management terminal 161 of the worker, even with the same storage capacity, logging can be performed for a longer time than when only the area surrounded by the broken line 13 is mounted. . However, since it is necessary to execute the recognition process of the abnormal state in real time, it is necessary to mount a microcomputer capable of processing in real time.

  17 and 18 are diagrams showing an example of attachment of the self-position sensor 3. FIG. 17 shows an example in which the self-position sensor 3 is attached to the worker 160, and FIG. 18 shows an example in which the self-position sensor 3 is attached to a fixed place such as a wall or a ceiling.

  FIG. 17 is an explanatory diagram showing a method of estimating the self-position by photographing the ID transmitters 171, 172, 173, and 174 attached to the head of the worker 160 and attached to the ceiling or the like. An example of the positioning method is shown below. Unique ID information is added to each of the ID transmitters 171 attached to the ceiling, and the ID information is transmitted using lighting ON / OFF or the like. The three-dimensional spatial mounting position of the ID transmitter is measured when the ID transmitter is mounted and is known. The camera 175 captures these ID transmission devices with moving images. Since the ON / OFF state of the illumination can be detected in time series by shooting with a moving image, the ID can be demodulated. If the angle of view of the camera is known, the angle difference between the camera viewpoint direction and the direction of the ID transmitter can be found from the position of the ID transmitter projected on the two-dimensional image photographed by the camera. If this is done with three or more ID transmitters, it can be seen that the shooting position (camera position) is estimated by the principle of three-point surveying. In the above description, the method for obtaining the self-position using the angle difference from a known transmitter (transmitting device) has been described. However, the distance from a transmitter (flight of radio waves) for which GPS (Global Positioning System) is a representative example. The time can also be obtained in the same manner. The positioning result is sent to the operator's abnormal state management terminal 161.

  FIG. 18 shows an example using a self-position detection device that attaches an ID transmission device 181 for identifying a worker to the worker 160 and uses the photographing device 180 attached to a wall or the like to detect the position of the worker 160. It is. It is assumed that the position of the photographing apparatus 180, its posture angle and angle of view, and the floor surface and height where the worker is present are known. In this case, if a straight line connecting the lighting positions of IDs representing the positions of the workers reflected on the two-dimensional image is extended from the center position of the photographing apparatus 180, the workers are on the extended lines. Furthermore, if the operator is in a standing position on the floor, the intersection of the plane parallel to the floor and lifted from the floor by the height and the extension line is the operator's real-world reference coordinate system. It will represent the position above. In this way, the position of the worker can be detected.

  In addition, this position detection method provided the condition that the worker is in a standing position in order to detect the worker's position with one camera, but the position is calculated with a plurality of cameras such as a stereo camera. If the technique to be used is used, the constraint condition of the worker's posture becomes unnecessary. The detected position information of the worker is sent to the worker's abnormal state management device 100 together with the time information of the time generator 182 (the time information of the worker's abnormal state management device 100 may be used).

  When the position detection method shown in FIG. 18 is used, the functions are arranged as shown in FIG. The self-position sensor 190 is placed outside the operator's abnormal state management terminal 161. When the collected data is sent as it is to the worker's abnormal state management device 100, the abnormal state management terminal 161 of the worker has a function within a range surrounded by a broken line 192, and the abnormal state recognition unit 2 is connected to the worker's abnormal state. When mounted on the management terminal 161, the function surrounded by the two-dot chain line 191 is mounted on the operator's abnormal state management terminal 161.

  Since the occurrence status can be displayed together with the field environment at the time when the abnormal state is detected according to the present embodiment, it is easy to guess the cause of the abnormal state. Moreover, in this embodiment, since it can recognize other than the abnormal state registered in advance, it can be recognized even if an abnormal state other than the assumption occurs.

(Embodiment 2)
In the first embodiment, the apparatus that recognizes and accumulates the abnormal state occurring at the current work site and displays the occurrence position of the abnormal state, the cumulative occurrence frequency, and the like has been described. In the second embodiment, not only the current work site but also the occurrence site (occurrence location) of the abnormal state that occurred in the past work site is searched for a similar location with the currently ongoing site, and there is a similar location An explanation will be given of the abnormal state management device 100A for an operator who can predict the danger before construction.

  FIG. 15 is a diagram illustrating a processing block for predicting the occurrence of an abnormal state from a past construction history. In the abnormal state management apparatus 100A of the worker, the abnormal state accumulation DB 9, the process management DB 5, the work site drawing DB 6, and the work site drawing generation unit 7 at the specified time are the same as the processing block diagram described in FIG. Is. However, it is assumed that the abnormal state storage DB 9 has already accumulated the abnormal state so far. The worker abnormal state management device 100A is provided with a processing unit of the similar process search unit 150, and a processing method of the display data generation unit 151 is different from that of the display data generation unit 11.

  When the current time or the time to be predicted is input from the input device 152 (input unit), the similar process search unit 150 is designated as a process at the time of occurrence of an abnormal state registered in the abnormal state storage DB 9. It is searched whether there is a similar part to the process contents in the process management DB 5 at the time. The similar part is, for example, the assembly process of the same (or similar) device, or the site environment registered in the drawing DB 7 and the abnormal state storage DB 9 generated by the drawing generation unit 7 at the work site at the specified time. And are similar in shape.

  Specifically, when the current time (17:35) is input, the similar process search unit 150 searches the process management DB 5 at the time (17:35) specified by the input and extracts the process contents. For the extracted process contents (for example, area A floorboard construction), the abnormal storage DB 9 is searched to determine whether there is the same process or a similar process.

  When a similar part is detected, the display data generation unit 151 performs a process for generating data to be displayed. The data generated here is, for example, the frequency of occurrence of abnormal states at similar locations. Using the generated display data, the display data generation unit 151 displays on the display unit 10 the possibility of occurrence of abnormal behavior or the like superimposed on the drawing generated by the drawing generation unit 7 at the work site at the specified time. .

  You may manage the apparatus etc. which were already demonstrated as a system. The worker's abnormal state management system including the worker's abnormal state management device 100 includes an abnormal state detection sensor (for example, the biosensor 1) for detecting the worker's abnormal state and a position for detecting the location of the worker. In addition to the sensor (for example, the self-position sensor 3), the process management DB 5 representing time-series changes at the work site, and a progress drawing (current map) representing the time-series environment of the work site linked to the process management DB Is used. Further, the abnormal state storage DB 9 stores the state of the abnormal state, position information, and the field environment at the time of occurrence of the abnormal state obtained from the process management DB 5 and the progress drawing.

  As an abnormal condition detection method, in addition to predetermined near-miss recognition conditions, sensor changes that differ from sensor data changes detected by work that is usually performed by a worker who has passed the same point or is working are detected. In this case, it can be determined that the state is abnormal.

  The operator's abnormal state management apparatus 100A (see FIG. 15) compares the work environment registered in the abnormal state storage DB 9 with the work environment obtained from the process management DB 5 at the new site or after the passage of time. In a similar work environment, it can be predicted and displayed that an abnormal state may be detected.

  In the present embodiment, as in the process of starting a new work from now on, even when the actual work has not been started and a more abnormal state such as a biological sensor cannot be detected, the similar environment is searched in advance. It becomes possible to evaluate the risk of work.

  When the worker's abnormal state management terminal 161 (see FIG. 16) of the present embodiment is a broken line 13 in FIG. 1, using the worker's abnormal state management device 100 that manages the worker's abnormal state at the work site, According to the abnormal condition management method at the work site, the abnormal condition management device 100 has the process information of the work at the work site and the drawing of the work site based on the process information of the work in the storage unit. When the processing unit 100 receives sensor information from a sensor that detects a dynamic motion of the worker or a sensor that detects psychological fluctuation, the processing unit recognizes an abnormal state as an motion or psychological state that exceeds a normal range from the sensor information. In this case, based on the position of the worker determined by the sensor information, or when the received information includes time information that can specify the time, the time information or the time information determined by the reception time The progress state indicating the occurrence time of the normal state and the progress state of the work process information based on the occurrence time is registered in the storage unit as the abnormal state information, and the abnormal state is indicated on the drawing corresponding to the progress state of the work site. Display data for displaying the occurrence status or the occurrence frequency can be created, and the display data can be displayed on the display unit.

  When the worker's abnormal state management terminal 161 (see FIG. 16) of the present embodiment is the two-dot chain line 12 of FIG. 1, the worker's abnormal state management device 100 that manages the worker's abnormal state at the work site is used. Thus, according to the abnormal state management method of the work site, the abnormal state management apparatus 100 has the process information of the work at the work site, the drawing of the work site based on the process information of the work in the storage unit, and the abnormal state The processing unit of the management device generates an abnormal state that is recognized as an abnormal state as an operation or psychological state that exceeds the normal range from sensor information from a sensor that detects a mechanical motion of the worker or a sensor that detects psychological fluctuations. When the information is received, the progress state indicating the worker position determined by the occurrence information of the abnormal state, the occurrence time of the abnormal state, and the progress state of the work process information based on the occurrence time is defined as the abnormal state information. Registered in the storage unit, on the drawing corresponding to the progress status of the work site, to create a display data for displaying the occurrence or frequency of occurrence of abnormal state, it is possible to display the display data on the display unit.

According to this embodiment, the abnormal state of the worker at the work site is detected, the detected location and its frequency distribution are displayed on the map of the work site, and the place and process where the abnormal state is likely to occur are displayed. It is possible to perform work support for reducing the occurrence of an abnormal state of the worker. In particular, the following effects are obtained.
(1) A location where an abnormal state of an operator is detected can be displayed corresponding to the site environment that changes from moment to moment.
(2) It is possible to detect an abnormal state other than a previously registered abnormal state.
(3) When an environment similar to the field environment in which a past abnormal state has occurred appears, it can be predicted that an abnormal state may occur before detection by the abnormal state detection sensor.

1 Biological Sensor 2 Abnormal State Recognition Unit (Abnormal State Accumulation Unit)
3 Self-position sensor 4 Time generator 5 Process management DB (process management information)
6 Work site drawing DB (work site drawing information)
7 Work site drawing generation unit at specified time 8 Site environment drawing selection unit 9 Abnormal state storage DB (accumulated state storage information)
DESCRIPTION OF SYMBOLS 10 Display part 11,151 Display data generation part 100 Abnormal state management apparatus of an operator 150 Similar process search part 152 Input device (input part)
160 worker 161 worker's abnormal state management terminal 162 wireless communication device (communication unit)

Claims (7)

An abnormal condition management device for managing an abnormal condition of a worker at a work site,
A storage unit for storing process management information of work processes and drawing information of the work site;
A communication unit that receives biometric information and position information associated with the biometric information from a worker terminal worn by a worker including the biometric sensor during work;
When the received information includes time information that can specify the time, the time information is determined based on the time information or the time information determined at the reception time, the process management information, and the drawing information of the work site. A drawing generation unit that generates a process drawing of the work site corresponding to the information;
Among the generated process drawings, a selection unit of a site environment drawing that selects a process drawing corresponding to a work area based on the position information and time information;
It is determined whether or not the biological information is in an abnormal state, and if the determination is in an abnormal state, the storage unit is associated with the process drawing selected by the selection unit of the field environment drawing as accumulated information of the abnormal state. An abnormal state accumulator that accumulates in
A display data generation unit for generating display data for notifying a dangerous process or a dangerous part of a work site in the process management information based on the accumulated information of the abnormal state; State management device. The worker's abnormal state management device according to claim 1, wherein the biological sensor is a sensor that detects a dynamic motion of the worker or a sensor that detects psychological fluctuations. The display data generation unit
2. The abnormal state management of an operator according to claim 1, wherein the display data is created in association with a cumulative occurrence frequency of the abnormal state for each work process in a Gantt chart representing the progress of the work process. apparatus. The operator's abnormal state management device further includes:
When the time is specified from the input unit, the process management information is searched at the specified time to extract the process contents, and the extracted process contents are searched for the storage information of the abnormal state, and the same process or The abnormal state management device for an operator according to claim 1, further comprising a similar process search unit that searches whether there is a similar process. The display data generation unit
When there is the same process or the similar process in the similar process search unit, the frequency of occurrence of the same process or the similar process and the abnormal condition for the work process to be performed in the future based on the accumulated information of the abnormal condition Display data that associates with each other is generated. The abnormal state management device for an operator according to claim 4. Using the worker's abnormal state management device that manages the worker's abnormal state at the work site, an abnormal state management method for the work site,
The abnormal state management device has work process information at the work site, a work site drawing based on the work process information in the storage unit,
The processing unit of the abnormal state management device,
When sensor information is received from a sensor that detects a worker's dynamic behavior or a sensor that detects psychological variation,
When the sensor information is recognized as an abnormal state as an operation or psychological state that exceeds the normal range, the position of the worker determined by the sensor information, when the received information includes time information that can specify the time The time of occurrence of the abnormal state based on the time information or the time information determined at the time of reception and the progress process indicating the progress state of the work process information based on the occurrence time are registered in the storage unit as abnormal state information. And
On the drawing corresponding to the progress status of the work site, display data for displaying the occurrence status or frequency of occurrence of the abnormal status is created, and the display data is displayed on a display unit. Management method. Using the worker's abnormal state management device that manages the worker's abnormal state at the work site, an abnormal state management method for the work site,
The abnormal state management device has work process information at the work site, a work site drawing based on the work process information in the storage unit,
The processing unit of the abnormal state management device,
When receiving information on occurrence of an abnormal state recognized as an abnormal state as an operation or psychological state exceeding the normal range from sensor information from a sensor detecting a mechanical motion of the worker or a sensor detecting psychological fluctuation, Registering in the storage unit, as abnormal state information, the progress state indicating the position of the worker determined by the abnormal state occurrence information, the occurrence time of the abnormal state, and the progress state of the process information of the work based on the occurrence time,
On the drawing corresponding to the progress status of the work site, display data for displaying the occurrence status or frequency of occurrence of the abnormal status is created, and the display data is displayed on a display unit. Management method.

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