Danger prediction device at work site, danger prediction system, and danger prediction method

Abstract

To provide a danger prediction device at a work site, a danger prediction system, and a danger prediction method capable of predicting a danger in an early stage at a work site such as an architectural structure.SOLUTION: A mounting fixture of a working staff includes a body belt which a working staff puts on his / her body, a right hook structure coupled to the body belt, and a left hook structure coupled to the body belt. A body posture sensor 300C is attached to the body belt, a right posture sensor 300R is attached to the right hook structure, and a left posture sensor 300L is attached to the left hook structure. The body posture sensor 300C receives a posture detection output signal from each of the left and right posture sensors 300L and 300R, and detects at a high speed whether the left and right posture sensors 300L and 300R are locked at safe positions.SELECTED DRAWING: Figure 6

Description

[Technical Field]

[0001] An embodiment of the present invention relates to a danger prediction device, a danger prediction system, and a danger prediction method for a work site. [Background technology]

[0002] A safety harness usage monitoring system has been developed to prevent workers from falling when working at heights at construction sites. This system includes a harness worn directly on the worker's body and a rope with one end fixed to the harness and the other end equipped with a hook.

[0003] A position sensor is attached to the hook. When the worker locks the hook in a fixed position, the position sensor detects an acceleration equal to or greater than a predetermined value. The detection device determines that the worker has hooked the hook onto the fixture when the acceleration equal to or greater than the predetermined value is detected.

[0004] This system stores in advance the number of times that acceleration equal to or greater than the predetermined value is obtained within a predetermined period, depending on the type of work. If the number of times is not obtained within the predetermined period, the system determines that the hook is not properly engaged. [Prior art documents] [Patent documents]

[0005] [Patent Document 1] Japanese Patent Application Publication No. 2019-5425 [Patent Document 2] Japanese Patent Application Publication No. 2019-67207 [Patent Document 3] Japanese Patent Application Publication No. 2017-108822 [Patent Document 4] Japanese Patent Application Laid-Open No. 2017-93515 [Patent Document 5] Japanese Patent Application Laid-Open No. 2017-51271 [Patent Document 6] Japanese Patent Publication No. 2020-56134 [Patent Document 7] Patent Publication No. 2021-109015 [Patent Document 8] Japanese Patent Publication No. 2022-139618 [Patent Document 9] Japanese Patent Publication No. 2022-29791 Summary of the Invention

[0006] The work may involve cleaning or painting the exterior walls of a building. For this work, scaffolding made of iron pipes is assembled along the exterior walls of the building. The scaffolding consists of a board-shaped walking board, iron pipes that support the walking board, and connectors that connect the iron pipes together.

[0007] Workers clean, paint, and repair exterior walls while standing on the walking boards. Even in these types of work, safety measures are required to prevent workers from falling.

[0008] Therefore, an object of the embodiments of the present invention is to provide a danger prediction device, a danger prediction system, and a danger prediction method for a work site that can predict danger at an early stage. [Means for solving the problem]

[0009] According to one embodiment, a body mounting belt that can be attached to the body of a monitoring target; a right hook structure connected to the body mounting belt via a right hook belt; and a left hook structure connected to the body mounting belt via a left hook belt; a body posture sensor attached to the body harness; a right posture sensor attached to either the right hook structure or the right hook belt; a left posture sensor attached to either the left hook structure or the left hook belt; a receiver provided in the body posture sensor for receiving a right posture detection output and a left posture detection output wirelessly transmitted from the right posture sensor and the left posture sensor; a computing unit and a state determiner that use the right attitude detection output and the left attitude detection output received by the receiver and a body attitude detection output obtained by the body attitude sensor, Using the tilt speed of the body posture sensor relative to a reference vertical plane as a reference, the tilt speed of the right posture sensor is corrected to a right tilt speed difference relative to the reference vertical plane; Furthermore, the tilt speed of the body posture sensor with respect to the reference vertical plane is used as a reference, and the tilt speed of the left posture sensor is corrected to a left tilt speed difference with respect to the reference vertical plane; a computing unit and a state determiner that output a warning signal when at least one of the following conditions is met: the value of the right tilt speed difference is equal to or less than a threshold value; and A danger prediction device for a work site is provided. [Brief explanation of the drawings]

[0010] [Figure 1] FIG. 1 is a diagram illustrating the configuration of a hook structure used in the system according to this embodiment. [Figure 2] FIG. 2 is a configuration explanatory diagram showing a hook structure used in the system according to this embodiment, viewed from a different angle than FIG. [Figure 3] FIG. 3 is an explanatory diagram further showing a part of the wearing tool used in the system according to this embodiment. [Figure 4] FIG. 4 is an explanatory diagram shown to explain an example of the principle of detecting the attitudes of the right attitude sensor and the left attitude sensor in the system according to this embodiment. [Figure 5] FIG. 5 is an explanatory diagram showing an example of detection signals of vertical plane tilt velocity obtained from the body posture sensor, right posture sensor, and left posture sensor in a case where the right hook structure is engaged with a rope (safety fastening device) and the left hook structure is integrated with the body in the system according to this embodiment. [Figure 6]FIG. 6 is an explanatory diagram showing the result of differential calculation of the detection signals of the vertical plane tilt velocity obtained from the right posture sensor and the left posture sensor relative to the vertical plane tilt velocity from the body posture sensor, with a threshold value added, in a case where the right hook structure is engaged with a rope (safety fastening device) and the left hook structure is integrated with the body in the system according to this embodiment. [Figure 7] FIG. 7 is an explanatory diagram showing an example of a system configuration in which the output of each posture sensor from the attachment is transmitted to a repeater, and the repeater then transmits monitoring data to a server, and the monitoring data on the server can be monitored on a smartphone in the system according to this embodiment. [Figure 8] FIG. 8 is an explanatory diagram showing an example of the internal configuration of the body posture sensor, right posture sensor, and left posture sensor, as well as the repeater 601, in the system according to this embodiment, and also showing an example of providing a service to a smartphone using the database of the server 701. [Figure 9] FIG. 9 shows an example of a database in the server of this system, and is a diagram for explaining the database and how to use it. [Figure 10] FIG. 10 shows an example of a database in the server of this system, and is a diagram for explaining the database and how to use it. [Figure 11] FIG. 11 shows an example of time-series data recorded in the server of this system, and is a diagram for explaining the example and another example of how to use the example. DETAILED DESCRIPTION OF THE INVENTION

[0011] Hereinafter, an embodiment will be described with reference to the drawings. The configuration of a hook structure 100 used in a danger prediction system will be described with reference to Figures 1 and 2. The hook structure 100 has a hook fitting 10 having a fishhook shape. The base end of the hook fitting 10 is connected to a hook strap 200. The other end of the hook strap 200 is connected to, for example, a waist strap (see 50-2 on the left side of Figure 3), as will be described later.

[0012] An opening / closing lever 11 is attached to the hook fitting 10 to open and close the opening of the hook fitting 10 (on the side opposite the base end). The base end of the opening / closing lever 11 is attached to the base end of the hook fitting 10 by a shaft 11a, and the rotating tip of the opening / closing lever 11 can open and close the hook opening. Furthermore, a locking lever 12 that is rotatable around a shaft 12a is attached to the base end of the hook fitting 10. A protrusion 12b of the locking lever 12 abuts against a protrusion 11b of the opening / closing lever 11, locking the opening / closing lever 11. This allows the hook fitting 10 to be locked so that the opening of the hook fitting 10 cannot be freely opened.

[0013] The lock lever 12 is normally biased by a spring in the direction of arrow D around axis 12a, and in this state the opening / closing lever 11 cannot freely rotate in the direction of arrow B. The opening / closing lever 11 is biased by a spring (not shown) in the direction of arrow A around axis 11a, and its tip is stopped inside the opening of the hook fitting 10. To rotate tip 11C of the opening / closing lever 11 in the direction of arrow B and open the opening of the hook fitting 10, the lock lever 12 is forcibly rotated in the direction of arrow C. This releases the locked state of the opening / closing lever 11, and the opening of the hook fitting 10 is released, allowing the opening / closing lever 11 to rotate in the direction of arrow B, freeing the opening of the hook fitting 10.

[0014] A posture sensor 300 is attached to the hook structure 100. The posture sensor 300 may be attached to the hook band 200. In this case, it is desirable to attach the posture sensor 300 at a position close to the hook structure 100.

[0015] The attitude sensor 300 includes an angular velocity sensor, an acceleration sensor, and a computing unit. The roles and functions of the angle sensor, acceleration sensor, and computing unit are as described above.

[0016] 3 shows a state in which the worker 111 is wearing the attachment 122 on his / her body, and the right side shows an enlarged view of the vicinity of the body of the worker 111. Note that the worker 111 may be a robot, and may also be referred to as a "monitoring target."

[0017] The harness 122 has a body harness that can be divided into five parts. This body harness has a waist harness 50-2 worn around the waist and thigh harnesses 50-3R and 50-3L worn around the thighs. Furthermore, the body harness has thigh harnesses 50-3R and 50-3L connected to the waist harness 50-2, and also has shoulder harnesses 50-1R and 50-1L that have shoulder rests for the worker.

[0018] It further includes a right hook strap 200R having one end attached to the waist belt 50-2 and the other end to which the right hook structure 100R is attached, and a left hook strap 200L having one end attached to the waist belt 50-2 and the other end to which the left hook structure 100L is attached.

[0019] Although not shown in the figure, the shoulder straps 50-1R and 50-1L are integrated at the back (the back) of the worker and connected to the waist strap 50-2.

[0020] The right hook strap 200R and the left hook strap 200L are provided with rings for engaging the hook fittings of the right hook structure 100R and the left hook structure 100L, respectively. In Fig. 3, the right hook structure 100R and the left hook structure 100L are engaged with the rings and are in a rest state.

[0021] The body posture sensor 300C is, for example, one of the shoulder straps 50-1R or 50-1L, and is attached near the position of the worker's chest, and in this example, it is attached to the shoulder strap 50-1L. Note that the right posture sensor 300R and the left posture sensor 300L are, in this example, hook straps 200R and 200L, and are respectively attached in positions close to the hook structure.

[0022] 4 is a schematic diagram showing a state in which the worker 111 is wearing the wearing tool 122. For ease of understanding, this figure shows a more simplified view of the wearing tool 122 described in FIG.

[0023] 4 shows an example in which the right hook having the right posture sensor 300R is engaged with a rope and moved to various positions. That is, the diagram schematically shows a case in which the hook of the right posture sensor 300R is engaged with the rope 511, and as the worker 111 moves, the positional relationship with the worker changes to position 100-P2, position 100-P3, and position 100-P4. Note that the rope 511 may be an iron pipe. As the worker 111 moves in this way, the tilt and movement position of the right posture sensor 300 change in accordance with the movement of the worker 111.

[0024] When the hook structure 100R changes to position 100-P2, position 100-P3, or position 100-P4, the inclination of the right attitude sensor 300R changes as it moves to each position. This change causes the attitude detection signal of the attitude sensor to change. In other words, detection signals indicating changes in angular velocity and acceleration are obtained.

[0025] Figure 5 shows the body posture sensor output, left posture sensor output, and right posture sensor output when worker 111 at a work site moves across a scaffold (for about one minute) with right hook structure 100R hooked to rope 511 as shown in Figure 4. Each posture sensor provides an output as a calculation result of a calculator, as will be explained later (Figure 8).

[0026] 5, the vertical axis represents the angle (deg / s) displaced by each orientation sensor, and the horizontal axis represents the elapsed time (s). The solid line represents the output signal from the computing unit of body orientation sensor 300C, the dashed-dotted line represents the output signal from the computing unit of left orientation sensor 300L, and the dotted line represents the output signal from the computing unit of right orientation sensor 300R.

[0027] Looking at each output signal, it is estimated that the worker 111 moved a short distance between approximately 5 seconds and 11 seconds (reason: the tilt speed of the right posture sensor 300R in the vertical plane (parallel plane) changed).

[0028] It is estimated that the worker 111 barely moved between approximately 11 seconds and 19 seconds (reason: there was almost no change in the vertical plane tilt speed of each sensor).

[0029] It is estimated that between approximately 19 seconds and 29 seconds, the worker 111 performed work (exercise) such as bending and stretching the body while standing still (reason: the vertical plane (parallel plane) tilt speeds of the body posture sensor 300C and the left posture sensor (in a resting state) 300L changed significantly in sync).

[0030] After that (between approximately 30 and 55 seconds), it is estimated that the worker 111 moved intermittently over a short distance (reason: the tilt speed of the right posture sensor 300R in the vertical plane (parallel plane) changed intermittently and significantly).

[0031] The waveforms in Figure 6 show the results of further arithmetic processing of the three vertical plane tilt velocities (specifically, data) in Figure 5. That is, the waveform (dashed line) shows the vertical plane tilt velocity of left attitude sensor 300L minus the vertical plane tilt velocity of body attitude sensor 300C, and the waveform (dotted line) shows the vertical plane tilt velocity of right attitude sensor 300R minus the body attitude sensor 300C. These waveforms are referred to as vertical plane tilt velocity differences.

[0032] By further setting a threshold value TH2 (thick line shown in the figure) for these waveform data, the vertical plane tilt velocity measured by the right attitude sensor 300R can be effectively extracted as data and visualized.

[0033] The process for obtaining the waveform in Fig. 6 is executed, for example, by a server (701 in Fig. 7) described later. However, it does not necessarily have to be executed by the server 701, but may be executed by a repeater 601 along the way, or by any monitor.

[0034] The value of threshold TH2 can be adjusted arbitrarily by an administrator (user), and this adjustment signal is also set in a computing unit (described later) of body posture sensor 300C. Threshold TH2 is then used as sensitivity adjustment data for generating a warning signal. On windy days, the threshold may be set higher. Also, for work performed indoors in a quiet environment, the threshold may be set lower and the sensitivity increased. In other words, this system allows sensitivity adjustment according to the surrounding environment.

[0035] As is clear from the test results shown in Figures 4-6, when the hook structure is attached to the rope, the vertical plane tilt velocity difference exceeds the threshold level when the worker moves. However, when the hook structure is not attached to the rope, the vertical plane tilt velocity difference does not exceed the threshold level. The time period (monitoring time period) for detecting whether the hook structure is attached to the rope can be freely switched or set by the site manager. For example, there is a time period (inspection or measurement period) when workers move from a pre-set position to the site before work begins. The pre-set position can be, for example, a certain period from the time an elevator or transport machine arrives at the site. Or, it can be several minutes after a worker on site has communicated their situation using a radio voice communicator. For example, it can be several minutes from the time a situation report is received, such as "I have arrived at the entrance to the work area and am now heading to the work site." Or, it can be several minutes from the time a report is received, such as "I will move from work site A to next work site B." Of course, the system may be set to monitor the work at all times during the work period.

[0036] Varying the threshold value TH2 corresponds to adjusting the sensitivity to changes in the tilt speed of the vertical plane (parallel plane). The sensitivity can be adjusted according to the needs of the site. For example, the above-mentioned adjustment signal can be externally applied to the state determiner of the body posture sensor 300C.

[0037] In the above description, it is assumed that the hook structure is fastened to the rope, but the hook structure may be fastened to a stable, fixed object at the work site, such as an iron pole or iron bar, or even a crosspiece stably attached to a building.

[0038] 7 shows a scene where the individual attitude detection signals from the right attitude sensor 300R and the left attitude sensor 300L described above are aggregated by the body attitude sensor 300C to become a monitoring attitude detection signal, which is then transmitted to the repeater 601. Furthermore, the repeater 601 is connected to a server 701 via the mobile phone network NET-W.

[0039] The server 701 accumulates posture detection data on workers at the work site as log data and processes it so that it can be used for various purposes. For example, the server 701 can visualize and provide past work performance data of a specific worker. Therefore, it is also possible to provide visualized data to the smartphone 702 via the telephone line network NET-W. In this case, the owner of the smartphone 702 has signed a construction digital transformation contract so that the owner can download specific applications from the server administrator.

[0040] The repeater 601 is installed near the work site (for example, within an area of 100 m to 300 m), for example, in a temporary office. Basically, the repeater 601 only needs to have the function of transmitting the output signals (left posture sensor output, right posture sensor output, body posture sensor output, or left tilt velocity difference, right tilt velocity difference) processed by the body posture sensor 300C to the server 701.

[0041] However, the repeater 601 may be configured to be connectable to an operation and display device 711 so that a site supervisor can visualize the data to check the status of the work or adjust the threshold value H2. The operation / display device 711 displays, for example, the left tilt speed difference and the right tilt speed difference shown in Fig. 6, allowing the site supervisor to operate the threshold value TH2. This operation information is provided to the state determiner 3C6 (shown in Fig. 8) of the body posture sensor 300C via the repeater 601.

[0042] The operation / display device 711 is also connected to the server 701, and its operation information (time information when the operation was performed, threshold value information, etc.) is transmitted as log data. The server 701 has a table for storing various types of log data.

[0043] Furthermore, a first barometer 712 (3C7) may be connected to the repeater 601. The first barometer 712 is attached to the worker's harness 122, for example. The first barometer 712 provides first atmospheric pressure data for detecting the worker's height (or floor level) at the work site, and is stored in a predetermined memory of the server 701. A second barometer 713 is also installed on the ground at the work site, and second atmospheric pressure data from the second barometer 713 is also transmitted to the server 701 via the repeater 601. The server 701 treats the second atmospheric pressure data as reference data. The height (altitude) at which the worker is working can be estimated from the difference between the second atmospheric pressure data and the first atmospheric pressure data. Data on the altitude at which the worker worked, as well as data such as the work time, are also stored in the memory of the server 701.

[0044] Furthermore, remaining battery capacity data for the power supplies of the body orientation sensor 300C, right orientation sensor 300R, and left orientation sensor 300L may be transmitted to the server 701. A communication path may be provided to transmit a warning signal to an operator when the remaining battery capacity becomes low.

[0045] The server 701 can also be accessed from the smartphone 702 based on a specific URL. This allows the smartphone 702 to refer to the database of the server 701, check the remaining battery capacity of the power supplies of the right attitude sensor 300C, the right attitude sensor 300R, and the left attitude sensor 300L, and also check the altitude of the worker.

[0046] 8 further shows body orientation sensor 300C, right orientation sensor 300R, left orientation sensor 300L, and the inside of repeater 601. It also shows how repeater 601 is connected to server 701 via mobile phone network NET-W, and how smartphone 702 can access server 701 via mobile phone network NET-W. Furthermore, operation / display device 711 can also be connected to repeater 601 via mobile phone network NET-W, and the threshold H2 described above can be adjusted.

[0047] 8, the ground barometer 713 is connected to the repeater 601 directly or via the mobile phone network NET-W. On the other hand, the work site barometer 712 is shown here as being built into the body posture sensor 300C.

[0048] First, the communication system will be explained. In this system, the first communication NET-1 from the right orientation sensor 300R and the left orientation sensor 300L to the body orientation sensor 300C employs a high-speed communication function (for example, the high frequency band of Bluetooth (registered trademark) 2403-2480 MHz) and data transfers are frequent.

[0049] The data processing speed is 140 Hz, and if the processing time within the body orientation sensor 300C is included, the processing time for data from three sensors is required. Therefore, the effective data transfer (processing) speed allocated to data processing from one sensor is 46.7 Hz. The data size is 8 bytes, and data from one set of sensors is processed in three cycles, so 8 x 3 = 24 bytes. Since these 24 bytes are communicated, the communication speed is 24 bytes x 46.7 Hz.

[0050] In contrast, the second communication NET-2 between the body orientation sensor 300C and the repeater 601 employs a low-speed communication function, which transfers data less frequently than the previous high-speed communication function. For example, 20 bytes of data are transmitted to the repeater 601 every five seconds. Measurement data from the barometer 713 is also transmitted to the repeater 601. Here, a low-power LoRaWAN function, for example, is employed. The repeater 601 includes a transceiver 602 for mutual communication with the transmitter CT of the body orientation sensor 300C, and a transceiver 603 for connection to the mobile phone network NET-W.

[0051] Furthermore, the mobile phone network NET-W is used for communications between the repeater 601 and the server 701, between the server 701 and the smartphone 702, and between the server 701 and the operation / display device 711.

[0052] Configuration and operation of the right attitude sensor 300R The left attitude sensor 300R includes a power supply 3R1, an acceleration sensor 3R2, an angular velocity sensor 3R3, a calculator 3R4, and a transmitter RT for high-speed transmission. The angular velocity sensor 3R3 in the right attitude sensor 300R can obtain the vertical plane tilt velocity. The acceleration sensor 3R2 in the right attitude sensor 300R can also provide a component g in the direction of gravity, which is used to correct the component (drift component) in the vertical plane tilt velocity signal. In other words, autonomous calibration is performed inside the right attitude sensor 300R. In other words, the angular velocity sensor 3L3 obtains an angular velocity signal representing the vertical plane and integrates it to generate the raw vertical plane tilt velocity component. This integration process results in the raw vertical plane tilt velocity component containing a noise (drift) component. The output component of the acceleration sensor is the component in the direction of gravity. This acceleration sensor's gravity-direction component g is used to correct the component (drift component) in the vertical plane tilt velocity signal.

[0053] Configuration and operation of left attitude sensor 300L The left attitude sensor 300L has a similar configuration to the right attitude sensor 300R, and includes a power supply 3L1, an acceleration sensor 3L2, an angular velocity sensor 3L3, a calculator 3L4, and a transmitter LT for high-speed transmission. The angular velocity sensor 3L3 in the left attitude sensor 300L can obtain the vertical plane tilt velocity as described in FIG. 1. Furthermore, the component g in the direction of gravity can be obtained from the acceleration sensor 3L2 in the left attitude sensor 300L, and this component g is used to correct the component of the vertical plane tilt velocity. This component g is used to correct the component (drift component) in the signal of the vertical plane tilt velocity. In other words, autonomous calibration is performed inside the left attitude sensor 300L.

[0054] In other words, the angular velocity sensor 3L3 obtains an angular velocity signal representing the vertical plane and integrates it to generate the raw vertical plane tilt velocity component. This integration process results in the raw vertical plane tilt velocity component containing a noise (drift) component. The output component of the acceleration sensor is the component in the direction of gravity. This acceleration sensor's gravity-direction component g is used to correct the component (drift component) in the vertical plane tilt velocity signal.

[0055] Configuration and operation of body posture sensor 300C Body orientation sensor 300C includes a high-speed two-channel receiver CR, a power supply 3C1, an acceleration sensor 3C2, an angular velocity sensor 3C3, a calculator 3C4, a memory 3C5, a state determiner 3C6, and a low-speed transmitter / receiver CT. Body orientation sensor 300C also includes a barometer 3C7 (713 in FIG. 7).

[0056] Although not shown, the right attitude sensor 300R, left attitude sensor 300L, and body attitude sensor 300C each have a built-in control program for realizing their respective functions.

[0057] Body posture sensor 300C receives the vertical plane tilt velocity (from the right posture sensor) from right posture sensor 300R at receiver CR and stores it in memory 3C5. Also, body posture sensor 300C receives the vertical plane tilt velocity (from the left posture sensor) from left posture sensor 300L at receiver CR and stores it in memory 3C5.

[0058] Further Data Processing of Body Posture Sensor 300C In body orientation sensor 300C, angular velocity sensor 3C3 can obtain the vertical plane tilt velocity as described in Fig. 1. Furthermore, acceleration sensor 3C2 in body orientation sensor 300C can obtain the component g in the direction of gravity, which is used to correct the component of the vertical plane tilt velocity.

[0059] Then, the memory control program stores waveform data of the vertical plane tilt velocity from each sensor (right attitude sensor output, left attitude sensor output, body attitude sensor output) in memory 3C5.

[0060] The calculator 3C4 also calculates the difference between the right posture sensor output and the body posture sensor output (obtaining the right tilt speed difference) and the difference between the left posture sensor output and the body posture sensor output (obtaining the left tilt speed difference).The results can then be compared with a threshold value TH2 by the state determiner 3C6.

[0061] This calculation process makes it possible to monitor the magnitude of the tilt speed of the right posture sensor relative to the tilt speed of the body posture sensor, and the magnitude of the tilt speed of the left posture sensor relative to the tilt speed of the body posture sensor.

[0062] *If the tilt speed of the right posture sensor is greater than the tilt speed of the body posture sensor (above the threshold), it can be said that the right posture sensor is engaged with the rope. Conversely, if the tilt speed of the right posture sensor is below the threshold, it can be said that there is a high possibility that the right posture sensor is not engaged with the rope.

[0063] *If the tilt speed of the left posture sensor is greater than the tilt speed of the body posture sensor (above the threshold), the left posture sensor is engaged with the rope. Conversely, if the tilt speed of the left posture sensor is below the threshold, it is highly likely that the left posture sensor is not engaged with the rope.

[0064] The state determiner 3C6 of the body posture sensor 300C may be referred to as a warning generator. This state determiner 3C6 outputs a warning signal (notification signal) to the speaker 321 and / or the light-emitting element 323 when there is a vertical plane tilt speed difference that does not exceed the threshold TH2 shown in FIG. 6 (a level below the threshold). When a warning signal is given to the speaker 321, the microphone outputs a sound such as "Watch out for a hook," "Watch out for a right hook," or "Watch out for a left hook," or simply a "beep beep" sound. When a warning signal is given to the light-emitting element 323, the light-emitting element 323 flashes or changes color. There may be multiple light-emitting elements 323. In this way, this system operates at high speed as a danger prediction system.

[0065] As described above, the present system has features as a workplace hazard prediction device, system, and method.

[0066] The determination result indicating whether the hook structure used by the worker is engaged with the rope is stored in the server 701 from the body posture sensor 300C via the repeater 601. The server 701 records the determination result together with the identification data of the posture sensor.

[0067] Furthermore, calculator 3C4 transmits the atmospheric pressure data measured by barometer 3C7 to repeater 601, and repeater 601 further transmits the atmospheric pressure data to server 701. Furthermore, atmospheric pressure data measured by barometer 713 installed on the ground near the work site (at a reference position, for example, the first floor) is also transmitted to server 701 via repeater 601.

[0068] The server 701 can estimate the floor where the worker is working from the difference between the atmospheric pressure at which the worker is working and the atmospheric pressure at the reference position.

[0069] The server 701 creates a database of the above-mentioned various data. The user identification ID of the user who used the body orientation sensor 300C is also added to the sensor identification ID of the body orientation sensor 300C.

[0070] The data transmitted from the repeater 601 to the server 701 is not limited to the above data and may be arbitrarily selected. When various types of data exist in the server, this is effective for performing various data analyses.

[0071] FIG. 9 shows an example of visualized data provided to, for example, a site supervisor's smartphone 702 using various data stored in a server 701.

[0072] The server 701 includes software that can display the scores on a time axis over time for the left orientation sensor 300L and the right orientation sensor 300R, indicating whether they are in a safe locked state or an unlocked state requiring a warning. The example of the display area 721 in the figure indicates that the left orientation sensor 300L is in a state requiring a warning, and the right orientation sensor 300R is in a safe state.

[0073] The server 701 also includes software for displaying indicators showing the remaining battery levels of the body posture sensor 300C, left posture sensor 300L, and right posture sensor 300R used by the on-site worker (an example of a display area 722). If the remaining battery level drops below a certain value, a warning display such as a flashing indicator may be displayed. By regarding this warning as a risk prediction, it is possible to manage the maintenance of stable operation of the posture sensors. Furthermore, the server 701 also includes software for displaying the atmospheric pressure (floor level) at the work site where the worker is working (an example of a display area 723).

[0074] Furthermore, this system is not limited to the above embodiment. It has been described that the body posture sensor 300C is provided with a state determiner 3C6, to which the speaker 321 and / or light-emitting element 323 are connected. However, the state determiner 3C6 and the speaker 321 and / or light-emitting element 323 may be connected wirelessly. Furthermore, a headset equipped with a microphone and speaker may be connected to the state determiner 3C6 to enable wireless updates with the site supervisor.

[0075] The workers and the site supervisor may communicate with each other by radio to inform them of the next work process and to report on the status of the work. This function is particularly effective when a worker on site needs to be replaced suddenly.

[0076] Furthermore, the body posture sensor 300C may be equipped with a body temperature sensor and / or a pulsation sensor, and a function may be added to notify the server and the site supervisor of the worker's health condition. This allows the site supervisor to grasp the health condition of the workers on site and prevent serious accidents. For example, if the site supervisor determines that a worker is not feeling well, the site supervisor can take measures such as dispatching a replacement worker to the site.

[0077] 10 shows an example of a database DB stored in the memory of the server 701. However, the structure of the database DB and the type of data are not limited to this example.

[0078] In this example, a database is created for each field worker who works on-site. In other words, one data sheet is created for one field worker. The data names in the description fields assigned to each data sheet are explained below.

[0079] The description area DB11 of one data sheet describes the name of the building to be worked on, and the description area DB12 describes the identification code of the work location where the worker will be working. Examples of work locations where the worker will be working include the south wall of the building, its area and height (floor location), the east wall, its area and height (floor location), and the west wall, its area and height (floor location). The description data uses the identification code assigned to each work location. The description area DB13 describes the identification code of the work item to be performed by the worker. Work items include window cleaning, window glass repair, exterior wall cleaning, exterior wall repair, exterior wall painting, etc., and the identification codes for these items are described.

[0080] The data sheet also stores the ID of the worker who will perform the specified task at the specified work location in description area DB14, and the ID of the harness worn by the worker in description area DB15. Furthermore, the IDs of the body posture sensor, right posture sensor, and left posture sensor of the harness are stored in description area DB16.

[0081] The description areas DB11 to DB16 may be prepared in advance by the site supervisor before the workers arrive at work.

[0082] Next, description areas DB21, DB22, DB23, and DB24 store databases of data generated by workers performing their work. Description area DB21 describes the worker's movement position (the movement position is identification data of the work location) and the estimated time information for the work. Description area DB22 describes output data from the body posture sensor. Furthermore, description areas DB23 and DB24 describe output data from the right posture sensor and the left posture sensor, respectively.

[0083] The description area DB28 describes the work location when the warning signal was generated and the ID of the posture sensor that generated the warning signal, and the description area DB29 describes the worker's physical condition data (body temperature, pulse rate, etc.).

[0084] The description areas DB25 (safety), DB26 (work efficiency), and DB27 (finish of work) contain scores evaluated by, for example, a site supervisor after work is completed. These scores may be generated by software trained to generate evaluation points that take into account the time spent by the worker from start to finish and the finish captured by a surveillance camera.

[0085] By building a database like the one described above, it can be used as reference information when assigning work to workers in the future. In other words, evaluations of safety, efficiency, finish, warnings, etc. can be used as reference information. Furthermore, in the event of an accident, data on the physical condition of workers can be used as reference information. It is also possible to build correlations between warnings and physical condition data as reference information. In addition, the above database can be used as analytical data for various purposes.

[0086] FIG. 11 shows an example of time-series data recorded in the server of this system, and is a diagram for explaining the example and another example of how to use the example.

[0087] At work sites, for example, paint may be applied manually to the walls of buildings. In this work, variations in the finish often occur depending on the craftsman. Therefore, in this system, the craftsman wears an arm posture sensor on the arm that holds the brush and applies the paint (hereinafter referred to as the dominant arm). Then, data on the vertical plane inclination velocity (or vertical plane inclination velocity difference) of the dominant arm is collected while the craftsman is working. The velocity or velocity difference data in Figure 11 shows data obtained from two craftsmen, 801 and 802.

[0088] From this data, we can conclude that in the case of craftsman 801, periods S11 and S14 were periods in which he dipped his brush into the paint tank and applied paint to the brush. Next, in periods S12 and S15, we can conclude that the craftsman was applying paint to multiple locations on the wall surface in small strokes. Furthermore, in periods S13 and S16, we can conclude that the craftsman was applying paint in large strokes. In other words, it is thought that this craftsman first applied paint to the target wall surface in small strokes, and then moved the brush in large strokes on the same target wall surface to spread the paint.

[0089] On the other hand, in the case of craftsman 801, periods S31 and S35 can be considered to be periods during which the paintbrush is dipped into the paint tank and paint is being applied to the brush. Next, periods S32 and S33 can be considered to be periods during which the craftsman is applying paint in large strokes. Furthermore, periods S34 and S38 can be considered to be periods during which the craftsman is applying paint to multiple locations on the wall surface in small strokes. In other words, it is considered that the craftsman first moves the brush in large strokes to spread the paint on the target wall surface to which he is applying paint, and then applies paint to the same target wall surface in small strokes. The small strokes of paint applied to areas that have not yet been painted are considered to be painting areas. In this way, the frequency pattern of the craftsman's work can be acquired. It is also possible to learn from the frequency pattern and the craftsman's painting performance.

[0090] The above example is just one example, and since there are various patterns depending on the craftsman, it is desirable to learn the painting work patterns of each craftsman and convert them into data.Then, for example, the site supervisor can assign a score to the quality of the painting finish by each craftsman, and this can be used as a reference score when hiring craftsmen and setting their remuneration in the future.

[0091] <Summary of the above system> 1-1) For example, it can be used as a monitoring system for the behavior of workers at a construction site. This system is an example in which multiple moving bodies (posture sensors) capable of different movements monitor one individual (worker). In other words, one individual corresponds to an animal (including humans) with a torso and limbs, a moving machine (including robots) with moving parts, or an operation terminal / control terminal (including remote controllers) equipped with a joystick and operation buttons. 1-2) At work sites, it is used in systems that monitor the use of safety belt hooks. 1-3) It is used to check the status of crane use at the work site, i.e., to check whether the multiple branch ropes connected to the extension of the main rope used by the crane to lift the load are securely fastened to the load. Although several embodiments of the present invention have been described, these embodiments are presented as examples and are not intended to limit the scope of the invention. These novel embodiments can be embodied in various other forms, and various omissions, substitutions, and modifications can be made without departing from the spirit of the invention. These embodiments and their modifications are within the scope and spirit of the invention, and are also included in the scope of the invention and its equivalents as set forth in the claims. Furthermore, the scope of the present invention also includes cases in which each component of the claims is expressed separately, as a combination of multiple components, or as a combination of these components. Furthermore, multiple embodiments may be combined, and examples composed of such combinations are also within the scope of the invention.

[0092] In addition, to clarify the description, the drawings may show the width, thickness, shape, etc. of each part more schematically than in the actual embodiment. Furthermore, the device of the present invention is applied even when the claims are expressed as control logic, as a program including instructions for causing a computer to execute, or as a computer-readable recording medium containing the instructions. Furthermore, the names and terms used are not limited, and other expressions that have substantially the same content and intent are also included in the present invention. [Explanation of symbols]

[0093] 100···Hook structure, 100R···Right hook structure, 100L···Left hook structure, 111···Worker, 122···Attachment, 300···Posture sensor, 300R···Right posture sensor, 300L···Left posture sensor, 300C···Body posture sensor, 601···Repeater, 701···Server, 70, 702···Smartphone.

Claims

1. a body mounting belt that can be attached to the body of a monitoring target; a right hook structure connected to the body mounting belt via a right hook belt; and a left hook structure connected to the body mounting belt via a left hook belt; a body posture sensor attached to the body harness; a right posture sensor attached to either the right hook structure or the right hook belt; a left posture sensor attached to either the left hook structure or the left hook belt; a receiver provided in the body posture sensor for receiving a right posture detection output and a left posture detection output wirelessly transmitted from the right posture sensor and the left posture sensor; a computing unit and a state determiner that use the right attitude detection output and the left attitude detection output received by the receiver and a body attitude detection output obtained by the body attitude sensor, Using the tilt speed of the body posture sensor relative to a reference vertical plane as a reference, the tilt speed of the right posture sensor is corrected to a right tilt speed difference relative to the reference vertical plane; Furthermore, the tilt speed of the body posture sensor with respect to the reference vertical plane is used as a reference, and the tilt speed of the left posture sensor is corrected to a left tilt speed difference with respect to the reference vertical plane; a computing unit and a state determiner that output a warning signal when at least one of the following conditions is met: the value of the right tilt speed difference is equal to or less than a threshold value; and A workplace hazard prediction device equipped with this.

2. 2. The danger prediction device for a work site according to claim 1, wherein the warning signal is supplied to a speaker or a light-emitting element connected to the state determiner.

3. 2. The danger prediction device for a work site according to claim 1, wherein the state determiner is capable of changing a threshold value for determining whether to issue the warning signal through an external operation.

4. 2. The danger prediction device for a work site according to claim 1, wherein the threshold value to be compared with the right tilt speed difference and the threshold value to be compared with the left tilt speed difference can be set to different values.

5. The work site hazard prediction device according to claim 1 , wherein the body posture sensor further comprises an altimeter.

6. a body mounting belt that can be attached to the body of a monitoring target; a right hook structure connected to the body mounting belt via a right hook belt; and a left hook structure connected to the body mounting belt via a left hook belt; a body posture sensor attached to the body harness to obtain the body tilt velocity relative to a vertical plane; a right posture sensor having a first vertical plane sensor, a first acceleration sensor, a first calculator, and a first transmitter, attached to either the right hook body structure or the right hook belt, for obtaining a first inclination velocity of itself relative to a vertical plane and transmitting the first inclination velocity to the body posture sensor; a left posture sensor having a second vertical plane sensor, a second acceleration sensor, a second calculator, and a second transmitter, attached to either the left hook body structure or the left hook belt, for obtaining its own second inclination velocity with respect to a vertical plane and transmitting the second inclination velocity to the body posture sensor; The body posture sensor is provided with: a first receiver that receives the first tilt speed and the second tilt speed; a third computing unit that obtains a right tilt velocity difference corresponding to a difference between the body tilt velocity and the first tilt velocity, and a left tilt velocity difference corresponding to a difference between the body tilt velocity and the second tilt velocity; a state determiner that generates a warning signal in response to the calculation result of the third calculator; and a third transmitter that transmits the right tilt velocity difference and the left tilt velocity difference to an external device; a repeater that includes a second receiver that receives the right tilt speed difference and the left tilt speed difference from the third transmitter and transmits the received data to a server via a transceiver; the first receiver is a two-channel receiver that receives signals from the first transmitter and the second transmitter in a first communication method; The second receiver employs a second communication method different from the first communication method and having a lower transmission frequency than the first communication method. A workplace hazard prediction system.

7. The repeater is 7. A work site hazard prediction system as described in claim 6, wherein a first threshold value to be compared with the right tilt speed difference and a second threshold value to be compared with the left tilt speed difference can be set to different values for the state determiner.

8. The repeater is 7. The work site danger prediction system according to claim 6, which is connected to a server that constructs the database via a mobile phone network.

9. The work site hazard prediction system according to claim 8 , wherein the database of the server can be accessed using a smartphone.

10. The harness comprises a body harness that can be worn on the body of a worker, a right hook structure connected to the body harness via a right hook strap, and a left hook structure connected to the body harness via a left hook strap, A body posture sensor is attached to the body harness to obtain the body tilt speed relative to a vertical plane; a right posture sensor including a first vertical plane sensor, a first acceleration sensor, and a first computing unit, and the right posture sensor is attached to either the right hook body structure or the right hook belt, and obtains a first inclination speed of the right posture sensor relative to the vertical plane and transmits the first inclination speed to the body posture sensor; a left posture sensor provided with a second vertical plane sensor, a second acceleration sensor, and a second computing unit, and the left posture sensor is attached to either the left hook body structure or the left hook belt, and a second inclination velocity of the left posture sensor relative to the vertical plane is obtained and transmitted to the body posture sensor; the body posture sensor is provided with a receiver, a third computing unit, a state determiner, and a transmitter; receiving the first tilt rate and the second tilt rate; a right lean speed difference corresponding to a difference between the body lean speed and the first lean speed, and a left lean speed difference corresponding to a difference between the body lean speed and the second lean speed; generating a warning signal in response to the right tilt speed difference and / or the left tilt speed difference of the third computing unit, and transmitting the right tilt speed difference and the left tilt speed difference to an external repeater; A method for predicting danger at a work site, characterized by the above.

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