WO2019186848A1

WO2019186848A1 - Monitoring device and abnormality estimation program

Info

Publication number: WO2019186848A1
Application number: PCT/JP2018/013034
Authority: WO
Inventors: 剛之若土
Original assignee: 三菱電機株式会社
Priority date: 2018-03-28
Filing date: 2018-03-28
Publication date: 2019-10-03
Also published as: JPWO2019186848A1

Abstract

A monitoring server (201) is provided with a communication control unit (211) and an abnormality estimation unit (212). The communication control unit (211) receives, from a worker terminal (101) that has an acceleration sensor and is carried by a worker working on a device, abnormality detection information (113a) including: a value (111a) detected when an abnormality associated with the worker has been detected from the detection value of the acceleration sensor; and a worker location (112a) representing the location of the worker when the abnormality associated with the worker was detected using the value detected by the acceleration sensor. On the basis of the detected value (111a) and the worker location (112a) included in the abnormality detection information (113a), the abnormality estimation unit (212) estimates the conditions under which the abnormality associated with the worker occurred. The communication control unit (211) transmits abnormality occurrence conditions (212a) estimated by the abnormality estimation unit (212) to a rescue terminal (301).

Description

Monitoring device and abnormality estimation program

The present invention relates to a monitoring device and an abnormality estimation program for monitoring an operator.

There is a technique for determining whether an abnormality has occurred in an operator using an acceleration sensor (for example, Patent Document 1 and Patent Document 2).

However, in an operation performed in a closed space such as elevator maintenance, when an abnormality occurs in the worker, the rescuer cannot check the worker's situation.
For this reason, a device and an operator may come into contact with each other by operating the device for rescue. For this reason, there is a possibility that the worker is put in a more dangerous situation by the rescue work.

JP 2009-159239 A JP 2009-301450 A

This invention is intended to provide an apparatus that does not put a worker in a dangerous situation by operating a rescue device in an environment where an operator who has an abnormality cannot be seen.

The monitoring device of this invention is
The detection value when the abnormality of the worker is detected by the detection value of the acceleration sensor and the detection of the acceleration sensor from an operator terminal device that has an acceleration sensor and is carried by an operator who works on the device A monitoring-side receiving unit that receives abnormality detection information including a worker position indicating a position of the worker when abnormality of the worker is detected by a value;
Based on the detection value and the worker position included in the abnormality detection information, an abnormality estimation unit that estimates an abnormality occurrence state of the worker,
An output unit that outputs an estimation result estimated by the abnormality estimation unit.

According to the monitoring device of the present invention, it is possible to provide a device that does not put the worker in a dangerous situation by operating the rescue device in an environment where the worker who has encountered an abnormality cannot be seen.

The figure of Embodiment 1, The figure which shows the structure of the worker rescue system. 2 is a diagram of the hardware configuration of the worker terminal device 101 in the first embodiment. FIG. 2 is a diagram of the hardware configuration of the monitoring server device 201 in the first embodiment. FIG. FIG. 3 is a diagram of the hardware configuration of the rescue terminal device 301 in the first embodiment. FIG. 5 is a diagram illustrating the operation of the worker rescue system 11 in the diagram of the first embodiment. FIG. 10 is a diagram of the hardware configuration of the monitoring server device 202 in the second embodiment. In the figure of Embodiment 2, the sequence which shows operation of a worker rescue system. FIG. 10 is a diagram of the third embodiment, and is a hardware configuration diagram of the worker terminal device 103. FIG. 10 is a diagram of a third embodiment, and a hardware configuration diagram of the monitoring server device 203; In the figure of Embodiment 3, the sequence which shows operation | movement of a worker rescue system. It is a figure of Embodiment 4, and is a block diagram of the worker rescue system 12. FIG. FIG. 10 is a diagram of a hardware configuration of the worker terminal device 104 according to the fourth embodiment. In the figure of Embodiment 4, the sequence which shows operation | movement of the worker rescue system 12 is shown.

Hereinafter, embodiments of the present invention will be described with reference to the drawings. In addition, the same code | symbol is attached | subjected to the part which is the same or it corresponds in each figure. In the description of the embodiments, the description of the same or corresponding parts will be omitted or simplified as appropriate.

In the following first to fourth embodiments, the device is an elevator car, an elevator door on each floor, or an elevator control device.

Embodiment 1 FIG.
The first embodiment will be described with reference to FIGS.
FIG. 1 shows the configuration of the worker rescue system 11. The worker rescue system 11 includes a worker terminal device 101, a monitoring server device 201, and a rescue terminal device 301. The monitoring server device is a monitoring device. These are connected to the Internet 400. Hereinafter, the worker terminal device is referred to as a worker terminal, the monitoring server device is referred to as a monitoring server, and the rescue terminal device is referred to as a rescue terminal.

*** Explanation of configuration ***
FIG. 2 is a hardware configuration diagram of the worker terminal 101. The worker terminal 101 is a computer. The worker terminal 101 includes a processor 110 and other hardware such as a memory 120, an auxiliary storage device 130, and an input / output interface device 140. The processor 110 is connected to other hardware via a signal line, and controls these other hardware.

The worker terminal 101 includes an abnormality detection unit 111, a worker position acquisition unit 112, and a communication control unit 113 as functional elements. The functions of the abnormality detection unit 111, the worker position acquisition unit 112, and the communication control unit 113 are realized by a program.

The processor 110 is a device that executes a program. The processor 110 is an IC (Integrated Circuit) that performs arithmetic processing. Specific examples of the processor 110 are a CPU (Central Processing Unit), a DSP (Digital Signal Processor), and a GPU (Graphics Processing Unit).

The memory 120 is a storage device that temporarily stores data. Specific examples of the memory 120 are SRAM (Static Random Access Memory) and DRAM (Dynamic Random Access Memory). The memory 120 holds the calculation result of the processor 110.

The auxiliary storage device 130 is a storage device that stores data. A specific example of the auxiliary storage device 130 is an HDD (Hard Disk Drive). The auxiliary storage device 130 includes an SD (registered trademark) (Secure Digital) memory card, a CF (Compact Flash), a NAND flash, a flexible disk, an optical disk, a compact disk, a Blu-ray (registered trademark) disk, a DVD (Digital Versatile Disk), and the like. It may be a portable recording medium.

The input / output interface device 140 is connected to an acceleration sensor 150, an atmospheric pressure sensor 160, a communication device 170, and a display device 180. These communicate with the processor 110 via the input / output interface device 140.

FIG. 3 is a hardware configuration diagram of the monitoring server 201. Since the monitoring server 201 is a computer as well as the worker terminal 101, portions different from the worker terminal 101 will be described.

A communication device 250 and a display device 260 are connected to the input / output interface device 240.

The rescue guidance 231g is stored in the auxiliary storage device 230. The auxiliary storage device 230 is a rescue guidance storage device.

The monitoring server 201 includes a communication control unit 211, an abnormality estimation unit 212, and a rescue guidance acquisition unit 213 as functional elements. The functions of the communication control unit 211, the abnormality estimation unit 212, and the rescue guidance acquisition unit 213 are realized by a program.

The processor 210 is a device that executes an abnormality estimation program. The abnormality estimation program is a program that realizes the functions of the communication control unit 211, the abnormality estimation unit 212, and the rescue guidance acquisition unit 213.

The abnormality estimation program is read into the processor 210 and executed by the processor 210. The memory 220 stores not only an abnormality estimation program but also an OS (Operating System). The processor 210 executes the abnormality estimation program while executing the OS. The abnormality estimation program and the OS may be stored in the auxiliary storage device 230. The abnormality estimation program and OS stored in the auxiliary storage device 230 are loaded into the memory 220 and executed by the processor 210. Part or all of the abnormality estimation program may be incorporated in the OS.

The monitoring server 201 may include a plurality of processors that replace the processor 210. The plurality of processors share the execution of the abnormality estimation program. Each processor, like the processor 210, is a device that executes an abnormality estimation program. The processor 210 and the plurality of processors may be referred to as processing circuitry.

The abnormality estimation program reads each process, each procedure, or each process by replacing “part” of each part of the communication control unit 211, the abnormality estimation unit 212, and the rescue guidance acquisition unit 213 with “process”, “procedure”, or “process”. A program to be executed by a computer. The abnormality estimation method is a method performed by the monitoring server 201 being a computer executing an abnormality estimation program. The abnormality estimation program may be provided by being stored in a computer-readable recording medium or may be provided as a program product.

FIG. 4 is a hardware configuration diagram of the rescue terminal device 301. The rescue terminal device 301 includes a communication control unit 311, a rescue guidance acquisition unit 312, and a rescue guidance display unit 313 as functional elements. Since the rescue terminal device 301 is also a computer similar to the worker terminal 101, the description of the worker terminal 101 as a computer also applies to the rescue terminal device 301. A communication device 350 and a display device 360 are connected to the input / output interface device 340.

*** Explanation of operation ***
FIG. 5 is a sequence showing the operation of the worker rescue system 11. With reference to FIG. 5, operation | movement of the worker rescue system 11 is demonstrated.

In step S 11, the abnormality detection unit 111 detects the operator's abnormality based on the detection value detected by the acceleration sensor 150. A detection value is input from the acceleration sensor 150 to the abnormality detection unit 111. The abnormality detection unit 111 detects an abnormality of the worker by determining whether an abnormality has occurred in the worker based on the input detection value. When the abnormality detection unit 111 detects an abnormality of the worker, the abnormality detection unit 111 sends a detection value 111 a when the abnormality of the worker is detected to the communication control unit 113.
The detected value 111a is transmitted to the communication control unit 113 together with the determination factor of the occurrence of abnormality and the detected value of the acceleration sensor 150 up to the detected value 111a. The detection value 111a is associated with the determination factor of the occurrence of abnormality and the detection value of the acceleration sensor 150 up to the detection value 111a.
The abnormality determination factor is the basis on which the abnormality detection unit 111 determines that an abnormality has occurred. The following (a) to (d) are specific examples of determination factors. The following (a) to (d) are expressed as determination factors (a), (b), (c), and (d), respectively. The abnormality detection unit 111 sends an abnormality detection notification 111b indicating that an abnormality of the worker has been detected to the worker position acquisition unit 112.
The determination factors for abnormality detection by the abnormality detection unit 111 are specifically the determination factors (d) to (d) below.
The abnormality detection unit 111 determines that an abnormality has occurred in the worker in the case of the determination factor (d) to the determination factor (d) below.
Determination factor (a): The determination factor (a) is a case where the time when the norm of the three-axis values of the acceleration sensor is smaller than the set threshold value continues for a reference time or more. In this case, it is considered that the worker is not moving. The threshold value and the reference time are set in the abnormality detection unit 111.
Determination factor (b): The determination factor (b) is a case where the norm of the three-axis values of the acceleration sensor is larger than a set threshold value. In this case, the worker is considered to have collided with something.
Determination factor (c): The determination factor (c) is a case in which a gravitational acceleration is not measured on any of the three axes of the acceleration sensor. In this case, the worker is considered to have fallen.
Determination factor (d): The determination factor (d) is a case where the acceleration sensor detects an acceleration in a direction opposite to the acceleration direction of the elevator car and longer than the stair climbing. In this case, it is considered that the worker was caught on the counter.

In step S12, when the abnormality detection notification 111b is received, the worker position acquisition unit 112 acquires a worker position indicating the position of the worker. Specifically, the worker position acquisition unit 112 acquires atmospheric pressure information from the atmospheric pressure sensor 160 as the worker position. The worker position when the abnormality detection unit 111 detects an abnormality of the worker is referred to as a worker position 112a. The worker position acquisition unit 112 sends the worker position 112 a to the communication control unit 113.

In step S 13, the communication control unit 113, which is a terminal-side transmission unit, uses the communication device 170 to transmit the abnormality detection information 113 a that includes the detection value 111 a and the worker position 112 a and notifies the worker abnormality detection to the Internet 400. To the monitoring server apparatus 201 via
The abnormality detection information 113a includes an abnormality occurrence determination factor associated with the detection value 111a and a detection value of the acceleration sensor 150 up to the detection value 111a.
The detection value 111a is a detection value of the acceleration sensor 150 when the abnormality detection unit 111 detects an abnormality of the worker. The worker position 112a is a worker position when the abnormality detection unit 111 detects an abnormality of the worker.

In step S14, the communication control unit 211 that is the monitoring-side receiving unit receives the abnormality detection information 113a. The communication control unit 211 passes the abnormality detection information 113a to the abnormality estimation unit 212.

In step S15, the abnormality estimation unit 212 estimates the operator's abnormality occurrence state 212a based on the determination factor associated with the detection value 111a included in the abnormality detection information 113a and the worker position 112a.
The abnormality estimation unit 212 can estimate the abnormality occurrence state 212a from the determination factor associated with the detection value 111a and the worker position 112a as follows.
(1) The determination factor (a) is as follows.
When the worker position 112a is a pit, the worker has fallen in the pit or is sandwiched between the car and the pit.
When the worker position 112a is higher than the top floor, the worker is sandwiched between the car and the upper end of the hoistway.
When the worker position 112a is other than the above, the abnormality estimation unit 212 cannot be estimated.
(2) The determination factor (b) is as follows.
When the worker position 112a is a pit, the worker has fallen in the pit.
When the worker position 112a is higher than the top floor, the worker is sandwiched between the car and the upper end of the hoistway.
When the worker position 112a is other than the above, the abnormality estimation unit 212 cannot be estimated.
(3) The determination factor (c) is as follows.
When the worker position 112a is a pit, the worker has fallen in the pit.
If the worker position 112a is higher than the top floor, no abnormality can occur.
When the worker position 112a is other than the above, the worker has fallen on the ceiling of the car.
(4) The determination factor (d) is as follows.
For all worker positions 112a, the worker is caught on the elevator counter.
Here, as described above, the abnormal situation of the worker is such that the worker has fallen on the ceiling of the car or is sandwiched between the cage and the wall of the hoistway. It is a situation.
The abnormality estimation unit 212 can estimate at least one of the following <1> process estimation or <2> posture estimation when estimating the abnormality occurrence state of the worker.
<1> Estimation of process leading to abnormality occurrence state The abnormality estimation unit 212 estimates a process leading to an abnormality occurrence state from the detection value 111a included in the abnormality detection information 113a.
The process leading to the abnormality occurrence state is a process as if the worker fell down slowly or suddenly when the worker fell on the ceiling of the car as the estimated abnormality occurrence state.
The abnormality estimation unit 212 estimates the process by which the worker reaches the abnormality occurrence state as follows. The abnormality estimation unit 212 performs estimation using the detection value 111a and the detection value of the acceleration sensor 150 up to the detection value 111a.
For example, in the case of the determination factor (a), the abnormality estimation unit 212 focuses on the norm of an arbitrary fixed period before the norm becomes smaller than the threshold value. When the norm is gradually reduced, the abnormality estimation unit 212 estimates that the worker has fallen slowly.
If the norm for the certain period is not in a decreasing trend, or if the norm immediately before it becomes smaller than the threshold value is large, the abnormality estimation unit 212 estimates that the worker has suddenly collapsed.
Since the abnormality detected from the determination factors (b) to (d) is a collision, a drop and a catch on the counter, and the process is not important, the abnormality estimation unit 212 determines the determination factors (b) to (d), Not subject to estimation.
<2> Estimation of worker's posture The abnormality estimation unit 212 estimates the posture of the worker in an abnormality occurrence state from the detection value 111a included in the abnormality detection information 113a.
The posture of the worker in the abnormal occurrence situation is a posture such as prone or sideways. Further, if the worker is caught on the cable, the posture is upside down.
The abnormality estimation unit 212 estimates the worker's posture as follows.
The value of the acceleration sensor 150 is the sum of the gravitational acceleration and the acceleration of the worker terminal 101. For this reason, when the worker stops after the occurrence of abnormality, the value of the acceleration sensor 150 becomes only gravitational acceleration, and the orientation of the worker terminal 101 with respect to the vertical direction can be known. If the worker terminal 101 is a smartphone, the orientation of the worker terminal 101 indicates such a direction that the liquid crystal surface is vertically downward.
When the worker holds the worker terminal 101 by a method defined by the work rules, the worker's direction with respect to the vertical direction can be estimated.
The holding method of the worker terminal 101 defined by the work rules is a holding method in which the worker terminal 101 is put in a breast pocket or attached to a waist mounting portion.
The orientation of the worker with respect to the vertical direction refers to the orientation such that the right half of the body is facing down and the head is facing down.
Even when the holding method of the worker terminal 101 is not defined, the abnormality estimation unit 212 can estimate as follows.
It is assumed that the worker is standing before the occurrence of the abnormality, and the abnormality estimation unit 212 compares the direction of the gravitational acceleration before the occurrence of the abnormality and the direction of the gravitational acceleration after the occurrence of the abnormality. Based on the comparison result, the abnormality estimation unit 212 can estimate the worker's posture as follows. If the two directions are at right angles, the abnormality estimation unit 212 can estimate that the worker has fallen. If the two directions are opposite directions, the abnormality estimation unit 212 can estimate that the worker is upside down.
Further, when the movement of the worker does not stop after the occurrence of the abnormality and an acceleration with a large period (for example, 0.1 seconds or more) is obtained, the abnormality estimation unit 212 can estimate that the worker is hitting.
When obtaining an acceleration with a small period (for example, less than 0.1 seconds), the abnormality estimation unit 212 can estimate that the worker is spasm.

In step S16, the abnormality estimation unit 212 passes the estimated abnormality occurrence state 212a to the communication control unit 211, which is an output unit.
The abnormality occurrence state 212a is the worker's position and the worker's rough state. The rough state of the worker is such a state that the operator has fallen, is sandwiched between walls of a hoistway and a hoistway, or is caught on a counter.
If at least one of <1> process estimation and <2> posture estimation is performed, the abnormality estimation unit 212 also passes the estimation result to the communication control unit 211.

In step S 17, the communication control unit 211 outputs the abnormality occurrence state 212 a passed from the abnormality estimation unit 212. The communication control unit 211 also outputs the estimation results of <1> process estimation and <2> posture estimation.
Here, “output” has a broad meaning.
“Output” means, for example,
The communication control unit 211 transmits an abnormality occurrence state 212a, an estimation result of <1> process estimation, and an estimation result of <2> posture estimation to another device. In the first embodiment, the communication control unit 211 transmits an abnormality occurrence state 212a, <1> process estimation estimation result, and <2> posture estimation estimation result to the rescue terminal device 301 as another device.
Alternatively, “output” means that the communication control unit 211 displays the abnormality occurrence state 212a and the estimation result of <1> process estimation and <2> the estimation result of posture estimation on the display device 260 of the monitoring server 201. That is.
Alternatively, “output” means that the communication control unit 211 stores, in the auxiliary storage device 230 of the monitoring server 201, the abnormality occurrence state 212a and the <1> process estimation estimation result and <2> posture estimation estimation result. It is to be.

In step S 18, in the rescue terminal device 301, the communication control unit 311 receives from the communication control unit 211 via the communication device 350 the abnormality occurrence state 212 a and <1> process estimation estimation result, and <2> posture estimation estimation result. Is received.
The rescue guidance acquisition unit 312 refers to the abnormality occurrence state 212a, the estimation result of <1> process estimation, and the estimation result of <2> posture estimation, from the rescue guidance 331g stored in the auxiliary storage device 330. To get rescue guidance. The auxiliary storage device 330 is a rescue guidance storage device. The rescue guidance acquisition unit 312 displays the acquired rescue guidance on the display device 360.

The rescue server 201 may store the rescue guidance. In FIG. 3, the auxiliary storage device 230 stores a rescue guidance 231g. When the abnormality estimation unit 212 estimates the abnormality occurrence state 212a, the rescue guidance acquisition unit 213 extracts a rescue guidance corresponding to the abnormality occurrence state 212a from the rescue guidance 231g. And the communication control part 211 which is a monitoring side transmission part may transmit to the terminal device which does not have the rescue guidance 331g.

*** Effects of Embodiment 1 ***
According to the first embodiment, since the abnormality estimation unit 212 estimates the worker's abnormality occurrence state, there is an effect that it is possible to avoid putting the worker in a dangerous state when the worker is rescued.

Embodiment 2. FIG.
The worker rescue system of the second embodiment will be described with reference to FIGS. The configuration of the worker rescue system of the second embodiment is the same as that of FIG. 1 of the first embodiment. The worker terminal device 102 according to the second embodiment has the same configuration as the worker terminal device 101 according to the first embodiment.
FIG. 6 is a hardware configuration diagram of the monitoring server 202. The monitoring server 202 has an abnormality history acquisition unit 214 as a functional element with respect to the monitoring server 201. The auxiliary storage device 230 stores an abnormality history 231a.

*** Explanation of operation ***
FIG. 7 is a sequence showing the operation of the worker rescue system according to the second embodiment. With reference to FIG. 7, operation | movement of the worker rescue system of Embodiment 2 is demonstrated.

Since step S21 to step S23 are the same as step S11 to step S13 of the first embodiment, description thereof will be omitted.

In step S24, the communication control unit 211 receives the abnormality detection information 113a. The communication control unit 211 passes the abnormality detection information 113a to the abnormality history acquisition unit 214.

In step S25, the abnormality history acquisition unit 214 uses the abnormality detection information 113a received by the communication control unit 211 as a key, and the abnormality occurrence state 212c estimated in the past or the actual abnormality occurrence state confirmed by the rescuer from the storage device. 212d is acquired.
Here, the storage device stores a plurality of sets of the abnormality occurrence state 212c estimated in the past by the abnormality estimation unit 212 and the past abnormality detection information 113c used for the estimation of the abnormality occurrence state 212c. .
Alternatively, the storage device stores a plurality of sets of the actual abnormality occurrence status 212d confirmed by the rescuer and the abnormality detection information 113d up to the abnormality occurrence status 212d.
That is, the storage device only needs to store one of a plurality of sets of the abnormality occurrence status 212c and the abnormality detection information 113c and a plurality of sets of the abnormality occurrence status 212d and the abnormality detection information 113d.
When a new abnormality occurs, the abnormality history acquisition unit 214 transmits the abnormality occurrence state 113c or abnormality occurrence state 113d that is paired with the abnormality detection information 113c or abnormality detection information 113d that matches the abnormality detection information 113a from the storage device. get. In this way, the abnormality history acquisition unit 214 can acquire the abnormality occurrence situation 212c estimated in the past or the actual abnormality occurrence situation 212d confirmed by the rescuer from the storage device. The storage device is the auxiliary storage device 230 of the monitoring server 202 in the case of the second embodiment. The storage device may be another device different from the monitoring server 202. Another device may be a cloud server.

In step S 26, the abnormality estimation unit 212 receives the abnormality occurrence state 212 c or abnormality occurrence state 212 d acquired by the abnormality history acquisition unit 214 from the abnormality history acquisition unit 214. Hereinafter, the abnormality occurrence state 212c and the abnormality occurrence state 212d are referred to as an abnormality history 212e. That is, the abnormality history 212e is either the abnormality occurrence situation 212c or the abnormality occurrence situation 212d. The abnormality estimation unit 212 estimates the current abnormality occurrence state 212a of the worker using the abnormality history 212e. In the second embodiment, the abnormality history 212e may be handled as the current abnormality occurrence state as it is.
In that case, the abnormality estimation unit 212 passes the abnormality history 212e acquired from the abnormality history acquisition unit 214 to the communication control unit 211 as it is.
When a plurality of abnormality histories 212e that match the abnormality detection information 113a are stored in the storage device, the abnormality history acquisition unit 214 is paired with the abnormality detection information 113c or the abnormality detection information 113d that matches the abnormality detection information 113a. All the abnormality histories 212e that are present are acquired. The abnormality estimation unit 212 may estimate the most abnormal occurrence situation among the abnormality histories 212e as the current abnormality occurrence situation.

Since step S27 and step S28 are the same as step S17 and step S18, description thereof is omitted.

*** Effects of Embodiment 2 ***
According to the second embodiment, the abnormality estimation unit 212 refers to the abnormality history 212e when estimating the abnormality occurrence state of the worker, so that a state close to the actual abnormality occurrence state can be estimated. Therefore, there is an effect that it is possible to avoid putting the worker in a dangerous state when the worker is rescued. In addition, the worker can be rescued quickly.

Embodiment 3 FIG.
The third embodiment will be described with reference to FIGS. In the third embodiment, the abnormality estimation unit 212 estimates the abnormality occurrence state 212a using the operation history of the operator with respect to the device.
In the third embodiment, the abnormality estimation unit 212 estimates an abnormality as follows.
The abnormality estimation unit 212 estimates an abnormality occurrence state based on a combination of a determination factor, a worker position, and an operation history.
For example, abnormality detection is detected by the determination factor (c). The worker position 112a at the time of abnormality detection is a floor two levels above the lowest floor. The operation history immediately before the abnormality detection is an operation for opening an instruction screen for boarding the car from the landing. In the above case, the abnormality estimation unit 212 can estimate that the worker has dropped from the landing onto the car.
Further, an abnormality is detected by the determination factor (d). The worker position 112a at the time of abnormality detection is a position higher than the intermediate floor. The operation history immediately before the abnormality detection is an operation for opening a screen for instructing inspection of the counter rail on the car. In the above case, the abnormality estimation unit 212 can estimate that the worker has caught on the counter.
Instead of the operation history, the abnormality estimation unit 212 estimates the operation of the worker or the device from the operation history, and estimates the abnormality occurrence state based on the combination of the estimated operation, the determination factor, and the worker position. Good.
For example, when the operation history immediately before the occurrence of an abnormality is an operation for opening a screen instructing to raise the car, the abnormality estimation unit 212 can estimate that the worker has raised the car when the abnormality has occurred.
Further, when the operation is to input the inspection result of the 4th floor landing door, the abnormality estimation unit 212 can estimate that the worker has lowered the car toward the 3rd floor.

The system configuration of the worker rescue system 13 is the same as that of FIG.
FIG. 8 shows a hardware configuration of the worker terminal 103 according to the third embodiment. The worker terminal 103 includes a display control unit 114 and an operation history acquisition unit 115 as compared to the worker terminal 101 of the first embodiment. The auxiliary storage device 130 stores work guidance 131g.
FIG. 9 shows a hardware configuration of the monitoring server 203 according to the third embodiment. The monitoring server 203 differs from the monitoring server 202 according to the second embodiment in that the auxiliary storage device 230 stores the abnormality history 231b and the abnormality history acquisition unit 214 uses the abnormality history 231b.

*** Explanation of operation ***
FIG. 10 is a sequence showing the operation of the worker rescue system of the third embodiment. The operation of the worker rescue system 13 will be described with reference to FIG.

The processing in step S31 is the same as that in step S11, but in step S31, the abnormality detection unit 111 also sends an abnormality detection notification 111b to the operation history acquisition unit 115.

The processing of the worker position acquisition unit 112 in step S32 is the same as that in step S12.

In step S 33 a, when the operation history acquisition unit 115 receives the abnormality detection notification 111 b from the abnormality detection unit 111, the operation history acquisition unit 115 acquires the operation history 115 a that the operator has operated the device. The operation history acquisition unit 115 can acquire, for example, an operation history 115a for the device by the operator from the work support terminal device.
The operation history acquisition unit 115 acquires the operation history 115a as follows.
The work support terminal device and the operation history acquisition unit 115 communicate with each other, and the operation history acquisition unit 115 acquires an operation history from the work support terminal device. The communication method is not limited. Further, the work support terminal device and the worker terminal 103 may be the same terminal.
The operation history acquisition unit 115 sends the acquired operation history 115 a to the communication control unit 113.

In step S33b, the communication control unit 113 generates the abnormality detection information 113a including the detection value 111a, the worker position 112a, and the operation history 115a, and transmits it to the monitoring server 203.

In step S34, the communication control unit 211 receives the abnormality detection information 113a. The communication control unit 211 passes the abnormality detection information 113a to the abnormality history acquisition unit 214.

In step S35, the abnormality history acquisition unit 214 acquires a past abnormality occurrence state 212c from the storage device using the operator's operation history 115a as a key.
Here, the storage device stores a plurality of sets of the abnormality occurrence situation 212c estimated in the past by the abnormality estimation unit 212 and the past operation history 115c used for the estimation of the abnormality occurrence situation 212c. Therefore, the abnormality history acquisition unit 214 can acquire the abnormality occurrence state 212c estimated in the past from the storage device.
The storage device is the auxiliary storage device 230 of the monitoring server 203 in the third embodiment.
The storage device may be another device different from the monitoring server 203. Another device may be a cloud server.
Specifically, it is as follows. In addition to the operation history, determination factors and worker positions are also used for matching past abnormal occurrence situations as described below.
The storage device stores a plurality of sets in which past abnormality occurrence situations, actual abnormality occurrence situations confirmed by rescuers, judgment factors, worker positions, and operation histories are associated.
The abnormality history acquisition unit 214 acquires an abnormality history 212e that matches the abnormality detection information 113a acquired from the communication control unit 211 from the storage device.
In step S36, as in step S26, the abnormality estimation unit 212 may treat the abnormality history 212e as it is as the current abnormality occurrence state. In that case, the abnormality estimation unit 212 passes the abnormality history 212e acquired from the abnormality history acquisition unit 214 to the communication control unit 211 as it is.
When a plurality of abnormality histories 212e paired with the abnormality detection information 113c or the abnormality detection information 113d that matches the abnormality detection information 113a are stored in the storage device, the abnormality history acquisition unit 214 includes the abnormality detection information 113a and the abnormality detection information 113a. All the abnormality histories 212e paired with the matching abnormality detection information 113c or abnormality detection information 113d are acquired. The abnormality estimation unit 212 may estimate the most abnormal occurrence situation among the abnormality histories 212e as the current abnormality occurrence situation.

The processing of step S36, step S37, and step S38 is the same as step S26, step S27, and step S28 of the second embodiment.

*** Effects of Embodiment 3 ***
According to the third embodiment, when the abnormality estimation unit 212 estimates the abnormality occurrence state of the worker, the past abnormality occurrence state 212c extracted from the work history of the worker is referred to, so the actual abnormality occurrence state A state close to can be estimated. Therefore, there is an effect that it is possible to avoid putting the worker in a dangerous state when the worker is rescued. In addition, the worker can be rescued quickly.

Embodiment 4 FIG.
The fourth embodiment will be described with reference to FIGS. In the fourth embodiment, the device information acquisition unit 116 acquires the operation state 116a of the device when the abnormality detection unit 111 detects an abnormality. The device information acquisition unit 116 is included in the abnormality detection information 113a and transmitted to the monitoring server 204.

FIG. 11 shows a configuration of the worker rescue system 12 according to the fourth embodiment. The worker rescue system 12 includes an elevator control device 500 having a device information management unit 510. The device information management unit 510 is connected to the device information acquisition unit 116.
FIG. 12 shows a hardware configuration of the worker terminal 104 according to the fourth embodiment. The worker terminal 104 has a device information acquisition unit 116 with respect to the worker terminal 101 of the first embodiment. The device information acquisition unit 116 is connected to the device information management unit 510. In FIG. 12, the device information acquisition unit 116 is directly connected to the device information management unit 510. However, actually, the device information management unit 510 and the device information acquisition unit 116 are connected via the input / output interface device 140. The monitoring server 204 of the fourth embodiment has the same configuration as the monitoring server 201 of the first embodiment.

*** Explanation of operation ***
FIG. 13 is a sequence showing the operation of the worker rescue system 14 according to the fourth embodiment. The operation of the worker rescue system 14 will be described with reference to FIG.

The process of step S41 is similar to step S31. In step S 41, the abnormality detection unit 111 also sends an abnormality detection notification 111 b to the operation history acquisition unit 115.

The processing of the worker position acquisition unit 112 in step S42 is the same as that in step S12.

In step S43a, upon receiving the abnormality detection notification 111b from the abnormality detection unit 111, the device information acquisition unit 116 acquires, from the device information management unit 510, an operation state 116a when an abnormality is detected by the detection value 111a.

In step S43b, the communication control unit 113 generates the abnormality detection information 113a including the detection value 111a, the worker position 112a, and the operation state 116a, and transmits it to the monitoring server 203.

In step S44, the communication control unit 211 receives the abnormality detection information 113a. The communication control unit 211 passes the abnormality detection information 113a to the abnormality estimation unit 212.

<Step S45>
The abnormality estimation unit 212 estimates the abnormality occurrence state 212a of the worker based on the detection value 111a, the worker position 112a, and the operation state 116a included in the abnormality detection information 113a.
For example, it can be seen from the detected value 111a that the worker is lying down. It can be seen from the worker position 112a that the worker is lying on the ceiling of the car. It can be seen from the operating state 116a that the car is on the third floor. As described above, the abnormality estimation unit 212 estimates the abnormality occurrence state 212a that the worker is lying on the ceiling of the car stopped on the third floor.
The abnormality estimation unit 212 estimates an abnormality occurrence state based on a combination of the determination factor, the worker position, and the operation state of the device.
For example, the determination factor is the determination factor (a).
The worker position 112a at the time of abnormality detection is between the second floor and the third floor.
The operating state of the equipment is rising from the second floor.
In the case of the above combination, the abnormality estimation unit 212 can estimate that the worker is sandwiched between the car and the wall of the hoistway.
Also,
The determination factor is the determination factor (b).
The worker position 112a at the time of abnormality detection is a pit.
The operating state of the equipment is a car rise up to the top floor.
In the case of the above combination, the abnormality estimation unit 212 can estimate that the counter has collided with the worker.

The processing of step S46, step S47, and step S48 is the same as step S16, step S17, and step S18 of the first embodiment.

*** Effects of Embodiment 4 ***
According to the fourth embodiment, when the abnormality estimation unit 212 estimates the operator's abnormality occurrence state, the operation state 116a is referred to, so a state close to the actual abnormality occurrence state can be estimated. Therefore, there is an effect that it is possible to avoid putting the worker in a dangerous state when the worker is rescued. In addition, the worker can be rescued quickly.

As mentioned above, although Embodiment 1 to Embodiment 4 of the present invention has been described, two or more of these embodiments may be implemented in combination. Alternatively, one of these embodiments may be partially implemented. Alternatively, two or more of these embodiments may be partially combined. In addition, this invention is not limited to these embodiment, A various change is possible as needed.

11, 12 Worker rescue system, 101, 102, 103, 104 Worker terminal, 110 processor, 111 abnormality detection unit, 111a detection value, 111b abnormality detection notification, 112 worker position acquisition unit, 112a worker position, 113 communication Control unit, 113a abnormality detection information, 113c past abnormality detection information, 114 display control unit, 115 operation history acquisition unit, 115a, 115c operation history, 116 device information acquisition unit, 116a operation state, 120 memory, 130 auxiliary storage device, 131g work guidance, 140 input / output interface device, 150 acceleration sensor, 160 atmospheric pressure sensor, 170 communication device, 180 display device, 201, 202, 203, 204 monitoring server, 210 processor, 211 communication control unit, 212 Abnormality estimation unit, 212a Abnormality occurrence status, 212c Abnormality occurrence status, 212e Abnormal history, 213 Rescue guidance acquisition unit, 214 Abnormality history acquisition unit, 220 Memory, 230 Auxiliary storage device, 231g Rescue guidance, 231a, 231b Abnormal history, 240 Output interface device, 250 communication device, 260 display device, 301 rescue terminal, 310 processor, 311 communication control unit, 312 rescue guidance acquisition unit, 320 memory, 330 auxiliary storage device, 331g rescue guidance, 340 input / output interface device, 350 communication Device, 360 display device, 400 internet, 500 elevator control device, 510 device information management unit.

Claims

The detection value when the abnormality of the worker is detected by the detection value of the acceleration sensor and the detection of the acceleration sensor from an operator terminal device that has an acceleration sensor and is carried by an operator who works on the device A monitoring-side receiving unit that receives abnormality detection information including a worker position indicating a position of the worker when abnormality of the worker is detected by a value;
Based on the detection value and the worker position included in the abnormality detection information, an abnormality estimation unit that estimates an abnormality occurrence state of the worker,
A monitoring apparatus comprising: an output unit that outputs an estimation result estimated by the abnormality estimation unit.
The abnormality estimation unit
The monitoring apparatus according to claim 1, wherein the process of the worker reaching the abnormality occurrence state is estimated from the detection value included in the abnormality detection information.
The abnormality estimation unit
The monitoring apparatus according to claim 1, wherein the posture of the worker in the abnormality occurrence state is estimated from the detection value included in the abnormality detection information.
The monitoring device further includes:
From the storage device in which a plurality of sets of the abnormality occurrence state estimated in the past by the abnormality estimation unit and the abnormality detection information used for the estimation of the abnormality occurrence state are stored, the monitoring-side reception unit Using the received abnormality detection information as a key, an abnormality history acquisition unit that acquires the abnormality occurrence state estimated in the past from a storage device,
The abnormality estimation unit
The monitoring apparatus according to claim 1, wherein the abnormality occurrence state of the worker is estimated using the past abnormality occurrence state acquired by the abnormality history acquisition unit.
The abnormality estimation unit
The monitoring apparatus according to any one of claims 1 to 3, wherein the abnormality occurrence state is estimated using an operation history of the worker with respect to the device.
The monitoring device further includes:
From the storage device storing a plurality of past history of abnormality occurrences associated with the operation history of the operator for the device, the past abnormality occurrence status is stored using the operation history of the worker as a key. It has an abnormality history acquisition unit to acquire,
The abnormality estimation unit
The monitoring apparatus according to claim 4, wherein the abnormality occurrence state of the worker is estimated using the past abnormality occurrence state acquired by the abnormality history acquisition unit.
The monitoring device further includes:
A rescue guidance acquisition unit that acquires rescue guidance corresponding to the abnormality occurrence state estimated by the abnormality estimation unit from a rescue guidance storage device that stores rescue guidance for each abnormality occurrence state;
The monitoring device according to any one of claims 1 to 6, further comprising a monitoring-side transmission unit that transmits the acquired rescue guidance.
The detection value when the abnormality of the worker is detected by the detection value of the acceleration sensor and the detection of the acceleration sensor from an operator terminal device that has an acceleration sensor and is carried by an operator who works on the device An operator position indicating the position of the worker when the abnormality of the worker is detected by a value, and an operating state of the device when the abnormality of the worker is detected by a detection value of the acceleration sensor, A monitoring-side receiving unit that receives abnormality detection information including:
Based on the detection value included in the abnormality detection information, the worker position, and the operating state of the device, an abnormality estimation unit that estimates an abnormality occurrence state of the worker;
A monitoring apparatus comprising: an output unit that outputs an estimation result estimated by the abnormality estimation unit.
On the computer,
The detection value when the abnormality of the worker is detected by the detection value of the acceleration sensor and the detection of the acceleration sensor from an operator terminal device that has an acceleration sensor and is carried by an operator who works on the device Processing for receiving abnormality detection information including a worker position indicating the worker position when the worker abnormality is detected by a value;
Based on the detection value and worker position included in the abnormality detection information, a process for estimating the abnormality occurrence state of the worker,
Processing to output the estimated estimation result,
An abnormal estimation program to execute
On the computer,
The detection value when the abnormality of the worker is detected by the detection value of the acceleration sensor and the detection of the acceleration sensor from an operator terminal device that has an acceleration sensor and is carried by an operator who works on the device A worker position indicating the position of the worker when the abnormality of the worker is detected by a value, and an operation state of the device when the abnormality of the worker is detected by a detection value of the acceleration sensor. Processing to receive anomaly detection information, including
Based on the detection value included in the abnormality detection information, the worker position, and the operating state of the device, a process of estimating the abnormality occurrence state of the worker,
Processing to output the estimated estimation result,
An abnormal estimation program to execute