CN114728759B - Determination device, determination method, and computer-readable recording medium - Google Patents
Determination device, determination method, and computer-readable recording medium Download PDFInfo
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- CN114728759B CN114728759B CN201980102331.7A CN201980102331A CN114728759B CN 114728759 B CN114728759 B CN 114728759B CN 201980102331 A CN201980102331 A CN 201980102331A CN 114728759 B CN114728759 B CN 114728759B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0043—Devices enhancing safety during maintenance
- B66B5/005—Safety of maintenance personnel
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B3/00—Applications of devices for indicating or signalling operating conditions of elevators
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
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Abstract
An extraction unit (3306) extracts, as extraction candidate jobs, candidate jobs that are likely to cause dangerous phenomena due to execution, from among 1 or more candidate jobs that are likely to be executed after the start job that the operator has started. The notification determination unit (3307) determines whether or not to notify at least one of the operator and the operator-related person of the possibility of occurrence of a dangerous event, i.e., the possibility of occurrence of a dangerous event, which is the possibility of occurrence of a dangerous event due to execution of the extraction candidate work, based on the probability of execution of the extraction candidate work extracted by the extraction unit (3306) after the execution of the work.
Description
Technical Field
The invention relates to a determination device, a determination method and a computer-readable recording medium.
Background
In operations involving dangers, it is required to reliably notify operators of the possibility of occurrence of dangerous events. The dangerous events refer to all events that expose the operator to danger. Specific examples of dangerous events include events that cause a negative injury to an operator, events that may damage the health of an operator, and events that may damage the health of an operator.
Documents of the prior art
Patent document
Patent document 1: japanese laid-open patent publication No. 2016-055950
Disclosure of Invention
Problems to be solved by the invention
In the method of patent document 1, the notification device calls the attention of the operator by a warning, thereby ensuring the safety of the operator.
However, in a work in which the possibility of occurrence of a danger is increased in a short time, the time from the time of calling the worker's attention to the actual occurrence of the danger is very short.
Therefore, in the method of patent document 1, the worker cannot take evasive action in time, and there is a problem that the worker may be exposed to danger.
The main object of the present invention is to solve such problems. More specifically, the main object of the present invention is to notify the possibility of occurrence of a dangerous event at a reliable timing so that an operator can take evasive action.
Means for solving the problems
The determination device of the present invention includes: an extraction unit that extracts, as an extraction candidate job, a candidate job that is likely to cause a dangerous event due to execution, among candidate jobs that are 1 or more jobs that are likely to be executed after a manual job that a worker has performed; and a notification determination unit that determines whether or not to notify at least one of the operator and the job-related person of a possibility of occurrence of a dangerous event, which is a possibility of occurrence of a dangerous event caused by execution of the extraction candidate job, based on a probability that the extraction candidate job extracted by the extraction unit is executed after the execution of the operation.
Effects of the invention
According to the present invention, the possibility of occurrence of a dangerous event can be reported at a reliable timing, and as a result, the operator can take evasive action.
Drawings
Fig. 1 is a diagram showing an example of the hardware configuration of a determination device according to embodiment 1.
Fig. 2 is a diagram showing a functional configuration example of the determination device according to embodiment 1.
Fig. 3 is a diagram showing an example of implementation probability information according to embodiment 1.
Fig. 4 is a diagram showing an example of a dangerous event list according to embodiment 1.
Fig. 5 is a flowchart showing an example of the operation of the determination device according to embodiment 1.
Fig. 6 is a diagram showing a functional configuration example of the determination device according to embodiment 2.
Fig. 7 is a flowchart showing an example of the operation of the determination device according to embodiment 2.
Fig. 8 is a diagram showing an example of a functional configuration of a determination device according to embodiment 3.
Fig. 9 is a diagram showing an example of a dangerous event list according to embodiment 3.
Fig. 10 is a flowchart showing an example of the operation of the determination device according to embodiment 3.
Fig. 11 is a diagram showing an example of a functional configuration of a determination device according to embodiment 4.
Fig. 12 is a diagram showing an example of the risk event list according to embodiment 4.
Fig. 13 is a flowchart showing an example of the operation of the determination device according to embodiment 4.
Fig. 14 is a diagram showing a functional configuration example of a determination device according to embodiment 5.
Fig. 15 is a diagram showing an example of a risk event list according to embodiment 5.
Fig. 16 is a flowchart showing an example of the operation of the determination device according to embodiment 5.
Detailed Description
Embodiments of the present invention will be described below with reference to the drawings. In the following description of the embodiments and the drawings, the same or corresponding portions are denoted by the same reference numerals.
In the following embodiments, a maintenance operation using an elevator will be described as an example of the operation.
* Description of the structure
Fig. 1 shows an example of the hardware configuration of the determination device 30 according to the present embodiment.
The determination device 30 notifies the worker of the possibility of occurrence of a dangerous event according to the work state of the worker.
The determination device 30 is connected to the elevator control panel 10, the sensor 20, the auxiliary storage device 40, and the notification device 50.
The operation sequence of the determination device 30 corresponds to a determination method. Note that the program for realizing the operation of the determination device 30 corresponds to a determination program.
The determination device 30 has a control panel signal interface 31, a sensor interface 32, a processor 33, a memory 34, and a notification device interface 35.
The control panel signal interface 31 communicates with the elevator control panel 10.
The sensor interface 32 communicates with the sensor 20.
The processor 33 is a central processing device.
The memory 34 is a main storage device, and is loaded with a program stored in the auxiliary storage device 40. Further, the program is read out to the processor 33 to be executed.
The notification device interface 35 communicates with the notification device 50.
The elevator control panel 10 controls elevator-related operations such as vertical movement of the elevator and opening and closing of a door.
The sensor 20 acquires the position of the operator. Specific examples of the sensor 20 include a camera, a human body sensor, a wearable sensor, an air pressure sensor, an acceleration sensor, and a GPS (Global Positioning System) receiver.
The auxiliary storage device 40 stores programs for realizing the functions of a car position detection unit 3301, an operator operation signal detection unit 3302, an operator position detection unit 3303, a work estimation unit 3304, an implementation probability update unit 3305, an extraction unit 3306, a notification determination unit 3307, and a notification unit 3308, which will be described later. Specifically, the auxiliary storage device 40 is a storage medium such as a USB (Universal Serial Bus) memory, an HDD (Hard Disk Drive), an SD (Secure Digital) (registered trademark) card, a database, an online memory, or a cloud memory.
The notification device 50 notifies the operator of the possibility of occurrence of a dangerous event. Specifically, the notification device 50 is a buzzer, an alarm device, a speaker, a portable terminal, a display, a wearable device, or the like.
The notification device 50 stimulates the five senses of the operator to make a notification. Alternatively, the notification device 50 notifies the user by using language information such as visual information, audio information, and words or characters. Note that the notification device 50 may notify the same notification contents to 1 or more workers, or may notify different notification contents. Further, the notification device 50 notifies a warning for notifying danger, a guidance for moving to a safe position, and the like.
Fig. 2 shows a functional configuration diagram of the determination device 30 according to the present embodiment.
The determination device 30 includes a car position detection unit 3301, an operator operation signal detection unit 3302, an operator position detection unit 3303, a work estimation unit 3304, an implementation probability update unit 3305, an extraction unit 3306, a notification determination unit 3307, a notification unit 3308, an information management unit 341, and a dangerous event storage unit 342.
The car position detecting unit 3301 detects the position of the car of the elevator based on the car position information received from the elevator control panel 10. The position of the car of the elevator is shown in the car position information.
The operator operation signal detection unit 3302 detects an operation of the operator based on the operator operation signal received from the elevator control panel 10. The operator operation signal indicates an operation performed by the operator.
The operator position detection unit 3303 detects the position of the operator based on the operator position information received from the operator position acquisition device 21 of the sensor 20. The operator position obtaining device 21 detects the position of the operator. The operator position information indicates the position of the operator detected by the operator position acquisition device 21.
The work estimation unit 3304 estimates the work that the operator has performed, that is, the operation performed by the operator, based on the detected position of the car, the operation performed by the operator, and the position of the operator. Specifically, the work estimating unit 3304 detects that the operator is performing a new work when the operator notifies the terminal device of the performance of the new work.
The execution probability updating unit 3305 records the operation performed by the operator, and updates the execution probability information based on the record.
The execution probability information includes a plurality of combinations of a plurality of jobs whose execution order is defined. In addition, the execution probability information indicates, for each combination, a probability of executing a plurality of jobs included in the combination in the execution order. Therefore, a combination of 3 or more jobs may be described in the execution probability information. In the present embodiment, for simplification of description, description will be made using implementation probability information in which a combination of 2 jobs is described.
The extraction unit 3306 extracts candidate jobs from the candidate jobs.
The candidate job is 1 or more jobs that can be performed after the start job. The extraction candidate job is a candidate job in which a dangerous event may occur due to implementation.
The process performed by the extraction unit 3306 corresponds to an extraction process.
The notification determination unit 3307 determines whether or not to notify at least one of the worker and the work-related person of the possibility of occurrence of the dangerous event based on the execution probability information. The job-related person is a person related to the job. The work related person includes a manager who manages the worker and an assistant who assists the worker.
The possibility of occurrence of a dangerous event is a possibility of occurrence of a dangerous event due to the candidate extraction operation extracted by the extraction unit 3306.
When determining that the possibility of occurrence of the alarm hazard is determined, the alarm determination unit 3307 outputs an alarm determination signal to the alarm unit 3308. The notification decision signal notifies the target person (worker or worker-related person, worker and worker-related person) who should be notified of the possibility of occurrence of the dangerous event and the details of the dangerous event that may occur due to the execution of the extraction candidate work.
The process performed by the notification determination unit 3307 corresponds to the notification determination process.
When the notification determination signal is input from the notification determination unit 3307, the notification unit 3308 transmits a notification command to the notification device 50.
The notification command is a command for instructing the notification device 50 to notify the possibility of occurrence of a dangerous event. The notification command includes a content notified by the notification decision signal.
The information management unit 341 manages the execution probability information for each operator.
The risk event storage unit 342 stores a risk event list.
The job and the threat events that may occur as a result of performing the job are shown in the list of threat events. Details of the dangerous event list are described later.
Fig. 3 shows an example of the implementation probability information T10 of the present embodiment.
The information management unit 341 stores the implementation probability information T10 shown in fig. 3.
The execution probability information T10 indicates a plurality of jobs to be performed. In addition, in the execution probability information T10, candidate jobs that can be executed after the execution job are shown for each execution job. The execution probability information T10 indicates the probability of executing the candidate job (execution probability).
In the example of fig. 3, the operation described in the left end column is a start operation. Further, jobs other than the initial job are candidate jobs. In fig. 3, in the beginning of the operation: after #001, candidate jobs were performed: the probability of #001 was 0.10. Further, when the work is started: after #001, candidate jobs were performed: the probability of #002 was 0.10. Further, when the work is started: after #001, candidate jobs were performed: the probability of # XXX is 0.02.
The execution probability information T10 is preset for each operator based on past work records of each operator or the like. If the number of operators is 2 or more, the implementation probability information T10 is set for the number of operators.
The execution probability information T10 is updated by the execution probability updating unit 3305 according to the work record of each operator or the like.
Fig. 4 shows an example of the risk event list T21 according to the present embodiment.
The risk event storage unit 342 stores a risk event list T21 shown in fig. 4.
The dangerous event list T21 shows a combination of dangerous events and jobs. That is, when the worker performs the operation described in the risk event list T21, the risk event described in the risk event list T21 may occur. The job shown in fig. 4 is either a start job or a candidate job.
The dangerous event list T21 is prepared according to the number of operators. Fig. 4 (a) shows a dangerous event list T21 when the number of workers is 1. Fig. 4 (b) shows a dangerous event list T21 when the number of workers is 2.
The risk event list T21 in fig. 4 (a) shows that the worker 1 performs the following operations: dangerous events may occur at # 001: 001.
the risk event list T21 in fig. 4 (b) shows that the worker 1 performs the work: #001 and operator 2 performed the work in parallel: a dangerous event may occur in # 012: 011.
the dangerous event list T21 is set in advance based on a past disaster event, a past error event, and the like.
* Description of actions
Next, an operation example of the determination device 30 according to the present embodiment will be described with reference to a flowchart of fig. 5. Next, an example in which the number of workers is 1 will be described. The worker is 2 or more examples.
First, the car position detecting unit 3301 detects the position of the elevator car based on the car position information received from the elevator control panel 10 (step S10). Then, the car position detection unit 3301 notifies the operation estimation unit 3304 of the position of the car.
Next, the operator operation signal detection unit 3302 detects an operation by the operator based on the operator operation information received from the elevator control panel 10 (step S20). Then, the operator operation signal detection unit 3302 notifies the operation estimation unit 3304 of the operator's operation.
Next, the operator position detection unit 3303 detects the position of the operator based on the operator position information received from the operator position acquisition device 21 (step S30). Then, the operator position detection unit 3303 notifies the position of the operator to the operation estimation unit 3304.
Next, the work estimation unit 3304 estimates the work to be performed by the operator (step S40). Specifically, the work estimating unit 3304 estimates the work to be performed by the operator based on the position of the car notified from the car position detecting unit 3301, the operator operation notified from the operator operation signal detecting unit 3302, and the operator position notified from the operator position detecting unit 3303. Specifically, the work estimating unit 3304 refers to setting information on the position of the car at the time of the work, the operation of the operator, and the position of the operator in all the works registered in advance in the memory 34 or the auxiliary storage device 40. The work estimation unit 3304 searches for a work matching the setting information based on the notified position of the car, the operation of the operator, and the position of the operator, and thereby estimates the work.
Further, when detecting an operation by an operator who indicates the end of the work, the work estimation unit 3304 estimates the end of the work.
The work estimating unit 3304 specifies the number of workers based on the worker position. As described above, the number of workers is assumed to be 1.
Then, the work estimation unit 3304 notifies the extraction unit 3306 of the estimation result of the work to be performed and the number of workers. Further, the job estimation unit 3304 notifies the execution probability update unit 3305 of the estimation result of the starting job.
In the present embodiment, the work estimating unit 3304 estimates the work to be performed based on the position of the car, the operation of the operator, and the position of the operator. However, for example, when the operator notifies the determination device 30 of the start of the operation using the terminal device, steps S10 to S40 can be omitted.
Next, the extraction unit 3306 extracts an extraction candidate job (step S50).
Specifically, the extraction unit 3306 reads the implementation probability information T10 from the information management unit 341. Then, the extraction unit 3306 extracts job candidates from the implementation probability information T10. More specifically, the extraction unit 3306 extracts, as a candidate job, a job having a probability of being executed after the start job notified from the job estimation unit 3304 exceeding 0.
The extraction unit 3306 reads the risk event list T21 from the risk event storage unit 342. Then, the extraction unit 3306 extracts the candidate job included in the risk event list T21 among the extracted candidate jobs as an extraction candidate job.
Then, the extraction unit 3306 notifies the notification determination unit 3307 of the worker's work to be performed, the number of workers, and the extraction candidate work.
Next, the notification determination unit 3307 determines whether or not the procedure is a dangerous event (step S60).
Specifically, the notification determination unit 3307 reads the dangerous event list T21 from the dangerous event storage unit 342. Then, the notification determination unit 3307 confirms whether the procedure performed by the operator is included in the dangerous event list T21. When the procedure is included in the dangerous event list T21, the notification determination unit 3307 determines that the procedure causes a dangerous event.
If it is determined that the handling operation causes a dangerous event, the process proceeds to step S80. On the other hand, if it is determined that the handling operation does not cause a dangerous event, the process proceeds to step S70.
If it is determined in step S60 that the procedure does not cause a dangerous event, the notification determination unit 3307 determines whether or not the execution probability is higher than a threshold (step S70).
Specifically, the report determining unit 3307 reads the implementation probability information T10 from the information managing unit 341. Then, the notification determination unit 3307 extracts the execution probability corresponding to the combination of the initiating job and the extraction candidate job from the execution probability information T10. Further, the notification determination unit 3307 compares the extracted execution probability with a set threshold.
If the implementation probability is higher than the set threshold, the process proceeds to step S80. On the other hand, if the implementation probability is equal to or less than the set threshold, the process proceeds to step S90.
If yes in step S60 or if yes in step S70, the notification determination unit 3307 determines to notify the possibility of the dangerous event (step S80).
Then, the notification determination unit 3307 outputs a notification determination signal to the notification unit 3308. The notification unit 3308 transmits a notification command to the notification device 50 in accordance with a notification determination signal from the notification determination unit 3307.
If no in step S70 or if step S80 is performed, the execution probability updating unit 3305 detects the end of the job based on the estimation result received from the job estimating unit 3304 (step S90).
When the job ends, the process advances to step S100. On the other hand, if the job is not ended, the process proceeds to step S10.
When the end of the work is detected in step S90, the execution probability update unit 3305 determines whether or not the work executed by the operator satisfies a predetermined criterion (step S100).
Specifically, the implementation probability updating unit 3305 determines whether or not the work performed by the operator is suitable as the learning data. As a specific example, the implemented probability updating unit 3305 performs the determination of step S100 based on whether or not the total operation time is longer than the set time.
If it is determined that the job satisfies the predetermined reference, the process proceeds to step S110. On the other hand, if it is not determined that the job satisfies the predetermined reference, the process ends.
When it is determined in step S100 that the work satisfies the predetermined criterion, the execution probability update unit 3305 updates the execution probability information T10 of the operator (step S110).
Specifically, the probability update unit 3305 sets the transition of the job as a markov chain model or a bayesian network. As a specific example, the implementation probability updating unit 3305 updates the implementation probability information by receiving a time-series job transition procedure in the job of the elevator, performing maximum likelihood estimation of the transition matrix component, and outputting the transition probability between the jobs.
Next, an operation example of the judgment device 30 in the case where the number of operators is 2 or more will be described.
When it is determined that the number of operators is 2 or more as a result of performing steps S10 to S40, the extraction unit 3306 extracts an extraction combination in step S50. More specifically, the extraction unit 3306 extracts job candidates for each operator. Then, the extraction unit 3306 combines the extracted job candidates of each operator to obtain a combination of a plurality of job candidates. Further, the extraction unit 3306 extracts, as an extracted combination, a combination registered in the dangerous event list T21 corresponding to the number of operators among the combination of the plurality of candidate jobs.
The extraction unit 3306 notifies the notification determination unit 3307 of the operation of each operator, the number of operators, and the extraction combination.
Next, in step S60, the notification determination unit 3307 determines whether or not a combination of the tasks performed by the respective operators is included in the dangerous event list T21 corresponding to the number of operators.
In a case where the combination of the start jobs is included in the dangerous event list T21, the process advances to step S80. On the other hand, if the combination of the start jobs is not included in the risky event list T21, the process proceeds to step S70.
In step S70, the notification determination unit 3307 integrates the probabilities of performing the extraction candidate jobs for each operator included in the extraction combination. The accumulated value is the probability of executing the job candidates of each worker in parallel. Then, the notification determination unit 3307 compares the integrated value with the set threshold.
If the integrated value is higher than the set threshold value, the process proceeds to step S80. If the integrated value is equal to or less than the set threshold, the process proceeds to step S90.
Since steps S80 to S110 are as described above, the description thereof will be omitted.
* Description of the effects of embodiments
As described above, in the present embodiment, the possibility of occurrence of a dangerous event is predicted based on the execution probability of the candidate job executed after the current operation of the operator. Then, when the possibility of occurrence of a dangerous event is high, the notification device is operated. Therefore, according to the present embodiment, the worker can take preventive safety measures against a danger that may be caused in the future. Therefore, the operator can take evasive action in advance of the danger in the future.
In the present embodiment, it is also determined whether or not a dangerous event may occur in the current operation. In the present embodiment, the notification device is operated when there is a high possibility that a dangerous event may occur in the manual operation. Therefore, according to the present embodiment, even when the prediction based on the extraction candidate work performed in the past deviates, the worker can take measures for ensuring safety at the stage of starting the work.
Embodiment mode 2
In the present embodiment, the following example is explained: when the notification determination unit 3307 determines that the possibility of occurrence of the notification risk event is determined, the control signal invalidation unit invalidates the operator operation signal.
In the present embodiment, differences from embodiment 1 will be mainly described.
Note that the following matters not described are the same as those in embodiment 1.
Fig. 6 is a functional configuration diagram of the determination device 30 of the present embodiment.
In the present embodiment, the determination device 30 has a control signal invalidation unit 3309 and is connected to the elevator control panel 10. The same components as those in embodiment 1 are denoted by the same reference numerals, and descriptions thereof are omitted.
Fig. 7 is a flowchart showing an example of the operation of the determination device 30 according to the embodiment. The same operations as those in embodiment 1 are denoted by the same reference numerals, and descriptions thereof are omitted.
When the notification determination unit 3307 determines that the possibility of occurrence of a dangerous event is notified, the control signal invalidation unit 3309 transmits a signal for invalidating the operator operation signal to the elevator control panel 10 (step S120).
As a result, the elevator control panel 10 invalidates the operator operation signal.
The operator operation signal is a control signal input to the control panel by an operator, for example, when the operator performs an operation of moving the lifter up and down, an operation of opening and closing the door, or the like.
The invalidation means that the operator operation signal is canceled and the operation by the operator is invalidated.
As described above, when it is predicted that a dangerous event may occur due to the execution of the manual operation or the extraction of the candidate operation, the operator operation signal is invalidated without the execution of the manual operation or the extraction of the candidate operation, whereby the safety of the operation can be further improved.
Embodiment 3
In the present embodiment, the following example is explained: the possibility of occurrence of a dangerous event due to the worker not performing work in a specific line-of-sight direction is determined.
In the present embodiment, differences from embodiment 2 will be mainly described.
Note that the following matters not described are the same as those in embodiment 2.
Fig. 8 is a functional configuration diagram of the determination device 30 of the embodiment.
In the present embodiment, the determination device 30 is newly provided with an operator visual line direction detecting unit 3310, and is connected to the operator visual line direction obtaining device 22 of the sensor 20.
The operator visual direction acquisition device 22 acquires the visual direction of the operator.
The same components as those in embodiment 2 are denoted by the same reference numerals, and descriptions thereof are omitted.
Fig. 9 is an example of a dangerous event list of the embodiment.
The risk event storage unit 342 stores a risk event list T22 shown in fig. 9.
The dangerous event list T22 shows combinations of dangerous events, the line of sight direction of the operator, and the work. That is, when the worker performs the operation described in the risk event list T22 without the line of sight direction of the worker being the specific direction described in the risk event list T22, the risk event described in the risk event list T22 may occur. Specifically, the specific direction is a counterweight direction, a car lower direction, a hoistway top direction, or the like. The job shown in fig. 9 is either a start job or a candidate job.
The dangerous event list T22 is prepared according to the number of operators. Fig. 9 (a) shows a dangerous event list T22 when the number of workers is 1. Fig. 9 (b) shows a dangerous event list T22 when the number of workers is 2.
The dangerous event list T22 in fig. 9 (a) shows that the worker 1 performs the work without looking at the top of the hoistway: dangerous events may occur at # 101: 101.
the risk event list T22 in fig. 9 (b) shows that the worker 1 performs the work: #111 and operator 2 performed the work in parallel without viewing the counterweight: dangerous events may occur at # 112: 111.
fig. 10 is a flowchart showing an example of the operation of the determination device 30 according to the embodiment. The same operations as those in embodiment 2 are denoted by the same reference numerals, and descriptions thereof are omitted.
After step S30 is completed, the operator line-of-sight direction detecting unit 3310 detects the line-of-sight direction of the operator based on the line-of-sight direction information (step S130). The visual direction information indicates the visual direction of the operator acquired by the operator visual direction acquisition device 22.
Then, the operator visual line direction detecting unit 3310 notifies the extracting unit 3306 of the operator's visual line direction.
After step S40 is completed, the extraction unit 3306 extracts an extraction candidate job using the dangerous event list T22 (step S500).
First, the extraction unit 3306 reads the dangerous event list T22 from the dangerous event storage unit 342. Then, the extraction unit 3306 determines whether or not the line-of-sight direction of the operator matches the line-of-sight direction indicated in the dangerous event list T22. When the line of sight direction of the operator coincides with the line of sight direction shown in the risk event list T22, the extraction unit 3306 extracts the job candidates in the same manner as in embodiment 1. Further, the extraction unit 3306 extracts, as extraction candidate jobs, candidate jobs that match the jobs indicated in the dangerous event list T22 among the extracted candidate jobs.
When the dangerous event list T22 shown in fig. 9 (a) is used, if the operator does not look at the hoistway top portion, the extraction operation is as follows: #101 as an extraction candidate job.
When the number of operators is 2 or more, the extraction unit 306 extracts a combination of candidate operations of the operators matching the condition of the risk event list T22 shown in fig. 9 (b) as an extraction combination. Specifically, when an arbitrary operator does not view the counterweight, the job candidates for the operator who does not view the counterweight are: #112 and the job candidates for the other job are jobs: #111, the extracting unit 306 performs the extracting operation: #112 and Job: #111 as the extraction composition.
Then, the extraction unit 3306 notifies the notification determination unit 3307 of the extraction candidate job or the extraction combination.
Next, the notification determination unit 3307 determines whether or not a dangerous event is caused by the procedure using the dangerous event list T22 (step S600).
First, the notification determination unit 3307 reads the dangerous event list T22 from the dangerous event storage unit 342. The notification determination unit 3307 checks whether or not the combination of the line-of-sight direction of the operator and the estimated work to be performed matches the line-of-sight direction and the condition of the work to be performed, which are shown in the risk event list T22. When the combination of the line-of-sight direction and the holding operation matches the line-of-sight direction and the condition of the holding operation shown in the risk event list T22, the notification determination unit 3307 determines that the holding operation causes a risk event.
When the number of operators is 2 or more, the notification determination unit 3307 checks whether or not the combination of the line-of-sight direction and the holding work of the 2 or more operators matches the condition of the dangerous event list T22 shown in fig. 9 (b). When the combination of the line-of-sight direction and the handling work of 2 or more operators matches the condition shown in the dangerous event list T22, the notification determination unit 3307 determines that the handling work causes a dangerous event. Specifically, when an arbitrary operator does not view the counterweight, the operation of the operator who does not view the counterweight is: #112 and the start of another job is: at #111, the notification determination unit 3307 determines that the operation performed by any or all of the operators is dangerous.
If it is determined that the handling operation causes a dangerous event, the process proceeds to step S80. On the other hand, when it is determined that the handling operation does not cause a dangerous event, the process proceeds to step S70.
Steps S70 to S120 are the same as those described in embodiment 1 or embodiment 2, and therefore, description thereof is omitted.
In the present embodiment, the operation of the extracting unit and the notification determining unit using the risk event list T22 is described, but the extracting and the notification determining unit may be combined with the risk event list in other embodiments.
As described above, in the present embodiment, the determination of the line-of-sight direction of the operator is added to the determination of the notification decision, whereby the accuracy of prediction of the possibility of occurrence of a dangerous event can be improved. Therefore, according to the present embodiment, the safety of the work can be further improved.
Embodiment 4
In the present embodiment, the following example is explained: a possibility that a dangerous event occurs due to an operation performed by an operator when a physiological state of the operator is a specific state is determined.
In the present embodiment, differences from embodiment 3 will be mainly described.
Note that the following matters not described are the same as those in embodiment 3.
Fig. 11 is a functional configuration diagram of the determination device 30 according to the present embodiment.
In the present embodiment, the determination device 30 is newly provided with an operator physiological condition detection unit 3311 and is connected to the operator physiological condition acquisition device 23 of the sensor 20.
The operator physiological condition acquisition device 23 detects the physiological condition of the operator from the heart rate, body temperature, respiration, and the like. In addition, the physiological state is a physical or mental state that changes with the passage of time. Specifically, the physiological state includes a state of free from concentration on the work, a state of high-temperature trouble such as heatstroke, and a state of tension in time stress such as emergency.
The same components as those in embodiment 3 are denoted by the same reference numerals, and descriptions thereof are omitted.
Fig. 12 is an example of the risk event list T23 according to the present embodiment.
The dangerous event image storage unit 342 stores a dangerous event image list T23 shown in fig. 12.
The dangerous event list T23 shows combinations of dangerous events, physiological states of operators, and tasks. That is, when the operator performs the operation described in the risk event list T23 in the physiological state described in the risk event list T23, the risk event described in the risk event list T23 may occur. The job shown in fig. 12 is either a start job or a candidate job.
The dangerous event list T23 is prepared according to the number of workers. Fig. 12 (a) shows a dangerous event list T23 when the number of workers is 1. Fig. 12 (b) shows a dangerous event list T23 when the number of workers is 2.
The dangerous event list T23 in fig. 12 (a) shows that the worker 1 performs the work in the high-temperature obstacle state: dangerous events may occur at # 201: 201.
the risk event list T23 in fig. 12 (b) shows that the worker 1 performs the work: #211 and worker 2 performed the work in parallel in a diffuse state: a dangerous event may occur at # 212: 211.
fig. 13 is a flowchart showing an example of the operation of the determination device 30 according to the present embodiment. The same operations as those in embodiment 3 are denoted by the same reference numerals, and descriptions thereof are omitted.
After step S30 is completed, the operator physiological condition detector 3311 detects the physiological condition of the operator based on the operator physiological condition information (step S140). The worker physiological state information shows the physiological state of the worker acquired by the worker physiological state acquisition device 23.
Then, the worker physiological state detector 3311 notifies the extraction unit 3306 of the physiological state of the worker.
After step S40 is completed, the extraction unit 3306 extracts an extraction candidate job using the risk event list T23 (step S510).
First, the extraction unit 3306 reads the dangerous event image list T23 from the dangerous event image storage unit 342. Then, the extraction unit 3306 determines whether or not the physiological state of the operator matches the physiological state shown in the risk event list T23. When the physiological state of the operator matches the physiological state shown in the risk event list T23, the extraction unit 3306 extracts the candidate task in the same manner as in embodiment 1. Further, the extraction unit 3306 extracts, as extraction candidate jobs, candidate jobs that match the jobs shown in the dangerous event list T23 among the extracted candidate jobs.
When the dangerous event list T23 shown in fig. 12 (a) is used, if the operator is in a high-temperature obstacle state, the extraction operation is: #201 as an extraction candidate job.
When the number of operators is 2 or more, the extraction unit 3306 extracts a combination of job candidates of the operator that matches the condition of the dangerous event list T23 shown in fig. 12 (b) as an extraction combination. Specifically, when an arbitrary operator is in a diffused state, the job candidates for the operator in the diffused state are: #212 and the job candidates for the other job are: #211, the extracting unit 306 extracts the job: #212 and job: #211 as the extraction combination.
Then, the extraction unit 3306 notifies the notification determination unit 3307 of the extraction candidate job or the extraction combination.
Next, the notification determination unit 3307 determines whether or not the procedure is a dangerous event using the dangerous event list T23 (step S610).
First, the notification determination unit 3307 reads the dangerous event list T23 from the dangerous event storage unit 342. The notification determination unit 3307 checks whether or not the combination of the physiological state of the operator and the estimated work to be performed matches the physiological state and the condition of the work to be performed shown in the risk event list T23. The notification determination unit 3307 determines that the procedure causes a dangerous event if the combination of the physiological state of the operator and the estimated procedure matches the physiological state and the condition of the procedure shown in the dangerous event list T23.
When the number of the operators is 2 or more, the notification determination unit 3307 checks whether or not the combination of the physiological state and the handling work of the 2 or more operators matches the condition of the dangerous event list T23 shown in fig. 12 (b). The notification determination unit 3307 determines that the handling operation causes a dangerous event if a combination of the physiological state and the handling operation of 2 or more operators matches the condition shown in the dangerous event list T23. Specifically, when an arbitrary operator is in a diffused state, the work performed by the operator in the diffused state is: #212 and the holding job of another worker is: in case # 211, the notification determination unit 3307 determines that the operation performed by any or all of the operators is dangerous.
If it is determined that the handling operation causes a dangerous event, the process proceeds to step S80. On the other hand, when it is determined that the handling operation does not cause a dangerous event, the process proceeds to step S70.
Steps S70 to S120 are the same as those described in embodiments 1 to 3, and therefore, description thereof is omitted.
In addition, although the operation of the extracting unit and the notification determining unit using the risk event list T23 is described in the present embodiment, the extracting and the notification determining unit may be combined with the risk event list in other embodiments.
As described above, in the present embodiment, the determination of the physiological state of the operator is added to the determination of the notification decision, whereby the accuracy of prediction of the possibility of occurrence of a dangerous event can be improved. Therefore, according to the present embodiment, the safety of the work can be further improved.
Embodiment 5
In the present embodiment, the following example is explained: the possibility of occurrence of a dangerous event due to the worker performing the work when the character of the worker is a specific character is determined.
In the present embodiment, differences from embodiment 4 will be mainly described.
Note that the following matters not described are the same as those in embodiment 4.
Fig. 14 is a functional configuration diagram of the determination device 30 of the present embodiment.
In the present embodiment, the determination device 30 newly includes the operator character storage unit 343.
The operator character storage unit 343 stores characters of each operator set in advance.
The character of the operator includes the quality of the operator and the capability of the operator. A specific example of the operator's temperament is impatient temperament. On the other hand, a specific example of the ability of the operator is a reaction rate of the operator with respect to the stimulus.
The same components as those in embodiment 4 are denoted by the same reference numerals, and descriptions thereof are omitted.
Fig. 15 is an example of the dangerous event list T24 according to the present embodiment.
The risk event storage unit 342 stores the risk event list T24 shown in fig. 15.
The dangerous event list T24 shows combinations of dangerous events, characters of operators, and tasks. That is, when the worker of the character described in the risk event list T24 performs the operation described in the risk event list T24, the risk event described in the risk event list T24 may occur. The job shown in fig. 15 is either a start job or a candidate job.
The dangerous event list T24 is prepared according to the number of workers. Fig. 15 (a) shows a dangerous event list T24 when the number of workers is 1. Fig. 15 (b) shows a dangerous event list T24 when the number of workers is 2.
The risk event list T24 in fig. 15 (a) shows that the worker 1 having impatience performs the work: in #301, dangerous events may occur: 301.
the risk event list T24 in fig. 15 (b) shows that the worker 2 performs the work with a much slower response speed than the average: #312 and operator 1 performs the operations in parallel: in #311, dangerous events may occur: 311.
fig. 16 is a flowchart showing an example of the operation of the determination device 30 according to the present embodiment. The same operations as those in embodiment 4 are denoted by the same reference numerals, and descriptions thereof are omitted.
After step S40 is completed, the extraction unit 3306 acquires the character of the operator from the operator character storage unit 343 (step S150).
Next, the extraction unit 3306 extracts an extraction candidate job using the risk event list T24 (step S520).
First, the extraction unit 3306 reads out the risk event list T24 from the risk event storage unit 342. Then, the extraction unit 3306 determines whether or not the personality of the operator matches the personality shown in the dangerous event list T24. When the character of the operator matches the character shown in the risk event list T24, the extraction unit 3306 extracts the job candidates in the same manner as in embodiment 1. Further, the extraction unit 3306 extracts, as extraction candidate jobs, candidate jobs that match the jobs shown in the dangerous event list T24 among the extracted candidate jobs.
When the dangerous event list T24 shown in fig. 15 (a) is used, if the worker is impatient in the character, the following operations are extracted: #301 as an extraction candidate job.
When the number of the operators is 2 or more, the extraction unit 3306 extracts a combination of job candidates of the operator matching the condition of the dangerous event list T24 shown in fig. 15 (b) as an extraction combination. Specifically, when the reaction speed of an arbitrary operator is much slower than the average value, the job candidates for the operator having a slow reaction speed are: #312 and the job candidates for the other job are jobs: #311, the extracting unit 306 extracts: #312 and Job: #311 as the extraction combination.
Then, the extraction unit 3306 notifies the notification determination unit 3307 of the extraction candidate job or the extraction combination.
Next, the notification determination unit 3307 determines whether or not a dangerous event is caused in the procedure using the dangerous event list T24 (step S620).
First, the notification determination unit 3307 reads the dangerous event list T24 from the dangerous event storage unit 342. The notification determination unit 3307 checks whether or not the combination of the character of the operator and the estimated work to be performed matches the character and the condition of the work to be performed shown in the risk event list T24. The notification determination unit 3307 determines that the procedure causes a dangerous event if the combination of the character of the operator and the estimated procedure matches the character and the condition of the procedure shown in the dangerous event list T24.
When the number of operators is 2 or more, the notification determination unit 3307 checks whether or not the combination of the characters and the jobs performed by the 2 or more operators matches the condition of the dangerous event list T24 shown in fig. 15 (b). The notification determination unit 3307 determines that the handling operation causes a dangerous event if a combination of the characters of 2 or more operators and the handling operation matches the condition shown in the dangerous event list T24. Specifically, when the reaction speed of an arbitrary operator is much slower than the average value, the operation performed by the operator having a slow reaction speed is: #312 and the jobs undertaken by the other job are: in case # 311, the notification determination unit 3307 determines that the operation performed by any or all of the operators causes a dangerous event.
If it is determined that the handling operation causes a dangerous event, the process proceeds to step S80. On the other hand, if it is determined that the handling operation does not cause a dangerous event, the process proceeds to step S70.
Steps S70 to S120 are the same as those described in embodiments 1 to 4, and therefore, description thereof is omitted.
In addition, although the operation of the extracting unit and the notification determining unit using the risk event list T24 is described in the present embodiment, the extracting and the notification determining unit may be combined with the risk event list in other embodiments.
As described above, in the present embodiment, the determination of the character of the operator is added to the determination of the notification decision, and thereby the accuracy of prediction of the possibility of occurrence of a dangerous event can be improved. Therefore, according to the present embodiment, the safety of the work can be further improved.
Although the embodiments of the present invention have been described above, 1 of the embodiments may be partially implemented.
Alternatively, 2 or more embodiments among these embodiments may be partially combined and implemented.
The present invention is not limited to these embodiments, and various modifications can be made as necessary.
* Description of hardware Structure
Finally, the hardware configuration of the determination device 30 will be described in addition.
The processor 33 shown in fig. 1 is an IC (Integrated Circuit) that performs processing.
The Processor 33 is a CPU (Central Processing Unit), a DSP (Digital Signal Processor), or the like.
The Memory 34 shown in fig. 1 is a RAM (Random Access Memory).
The control panel signal interface 31, the sensor interface 32, and the notification device interface 35 shown in fig. 3 are electronic circuits that perform communication processing of data, respectively.
The control panel signal Interface 31, the sensor Interface 32 and the notification device Interface 35 are, for example, communication chips or NICs (Network Interface cards), respectively.
Further, the auxiliary storage device 40 also stores an OS (Operating System).
Also, at least a portion of the OS is executed by the processor 33.
The processor 33 executes a program for realizing the functions of the car position detection unit 3301, the operator operation signal detection unit 3302, the operator position detection unit 3303, the work estimation unit 3304, the execution probability update unit 3305, the extraction unit 3306, the notification determination unit 3307, and the notification unit 3308 while executing at least a part of the OS.
The processor 33 executes the OS, thereby performing task management, storage management, file management, communication control, and the like.
At least one of information, data, signal values, and variable values indicating the processing results of the car position detection unit 3301, the operator operation signal detection unit 3302, the operator position detection unit 3303, the work estimation unit 3304, the implementation probability update unit 3305, the extraction unit 3306, the notification determination unit 3307, and the notification unit 3308 is stored in at least one of the memory 34, the auxiliary storage device 40, and a register and cache memory in the processor 33.
Further, the programs that realize the functions of the car position detection unit 3301, the operator operation signal detection unit 3302, the operator position detection unit 3303, the operation estimation unit 3304, the implementation probability update unit 3305, the extraction unit 3306, the notification determination unit 3307, and the notification unit 3308 may be stored in a mobile recording medium such as a magnetic disk, a flexible disk, an optical disk, a compact disk, a blu-ray (registered trademark) disk, or a DVD. A mobile recording medium storing a program for realizing the functions of the car position detection unit 3301, the operator operation signal detection unit 3302, the operator position detection unit 3303, the work estimation unit 3304, the implementation probability updating unit 3305, the extraction unit 3306, the notification determination unit 3307, and the notification unit 3308 may be distributed.
Further, "units" of the car position detection unit 3301, the operator operation signal detection unit 3302, the operator position detection unit 3303, the operation estimation unit 3304, the implementation probability update unit 3305, the extraction unit 3306, the notification determination unit 3307, and the notification unit 3308 may be rewritten into "circuits" or "processes" or "sequences" or "processes".
Furthermore, the determination device 30 may also be implemented by a processing circuit. The processing Circuit is, for example, a logic IC (Integrated Circuit), a GA (Gate Array), an ASIC (Application Specific Integrated Circuit), or an FPGA (Field Programmable Gate Array).
In this case, the car position detection unit 3301, the operator operation signal detection unit 3302, the operator position detection unit 3303, the operation estimation unit 3304, the implementation probability updating unit 3305, the extraction unit 3306, the notification determination unit 3307, and the notification unit 3308 are implemented as part of the processing circuit.
In this specification, a generic concept of a processor and a processing circuit is referred to as a "processing line".
That is, the processor and the processing circuit are specific examples of "processing circuits", respectively.
Description of the reference symbols
10: an elevator control panel; 20: a sensor; 21: an operator position acquiring device; 22: an operator sight line direction obtaining device; 23: an operator physiological state acquisition device; 30: a determination device; 31: controlling a disc signal interface; 32: a sensor interface; 33: a processor; 34: a memory; 35: a reporting device interface; 40: a secondary storage device; 50: a notification device; 341: an information management unit; 342: a dangerous event image storage unit; 343: an operator character storage unit; 3301: a car position detection unit; 3302: an operator operation signal detection unit; 3303: an operator position detection unit; 3304: a job estimation unit; 3305: an implementation probability updating unit; 3306: an extraction unit; 3307: a notification determination unit; 3308: a notification unit; 3309: a control signal invalidation unit; 3310: a worker sight line direction detection unit; 3311: a worker physiological state detection unit.
Claims (14)
1. A determination device includes:
an extraction unit that extracts, as an extraction candidate job, a candidate job that is likely to cause a dangerous event due to execution, among candidate jobs that are 1 or more jobs that are likely to be executed after a manual job that a worker has performed; and
and a notification determination unit that determines whether or not to notify at least one of the operator and the job-related person of a possibility of occurrence of a dangerous event, which is a possibility of occurrence of a dangerous event caused by execution of the extraction candidate job, based on a probability that the extraction candidate job extracted by the extraction unit is executed after the execution of the operation.
2. The determination device according to claim 1,
the determination device further includes a notification unit that notifies at least one of the worker and the work-related person of the possibility of occurrence of the dangerous event when the notification determination unit determines that the possibility of occurrence of the dangerous event is to be notified.
3. The determination device according to claim 1,
the determination device further includes:
an information management unit that manages execution probability information in which a plurality of combinations of a plurality of jobs defining an execution order are described, and in which a probability of executing a plurality of jobs included in a combination in the execution order is described for each combination; and
and an execution probability updating unit that updates, when the operator performs a plurality of tasks, a probability described in a combination corresponding to the plurality of tasks and the execution order performed by the operator, among the plurality of combinations described in the execution probability information.
4. The determination device according to claim 3,
when the plurality of jobs performed by the worker are suitable for use as learning data, the execution probability updating unit updates the probability described in the combination corresponding to the plurality of jobs performed by the worker and the execution order.
5. The determination device according to claim 1,
the notification determination unit determines whether or not to notify at least one of the operator and the operation-related person of a possibility of occurrence of a dangerous event due to the execution of the procedure.
6. The determination device according to claim 1,
in the case where there are 2 or more of the operators, the extraction unit extracts, as an extracted combination, a combination in which a dangerous event may occur due to parallel execution of the candidate tasks of the operators, among a plurality of combinations obtained by combining the candidate tasks of the operators,
the notification determination unit determines whether or not to notify at least one of the respective operators and the job-related person of a possibility of occurrence of a dangerous event due to parallel execution of the respective candidate jobs included in the extracted combination, based on a probability that the respective candidate jobs included in the extracted combination extracted by the extraction unit are executed after the work of engagement of the respective operators.
7. The determination device according to claim 1,
when there are 2 or more of the operators, the notification determination unit determines whether or not to notify at least one of each operator and the operation-related person of a possibility of occurrence of a dangerous event due to the execution of the operation performed by each operator in parallel.
8. The determination device according to claim 1,
the determination device further includes a control signal invalidation unit that invalidates the control signal necessary for performing the initiating operation when the notification determination unit determines that the possibility of occurrence of the dangerous event is notified.
9. The determination device according to claim 1,
the determination device further includes a work estimation unit that estimates the operation of the user if the operation of the user is unknown,
the extraction section extracts the extraction candidate job based on the engagement job estimated by the job estimation section.
10. The determination device according to claim 9,
the worker is a worker who performs the operation of the elevator,
the work estimation unit estimates the work to be performed based on car position information indicating a position of a car of the elevator, an operator operation signal indicating an operation performed by the operator, and operator position information indicating a position of the operator.
11. The determination device according to claim 1,
the extraction unit extracts, as the extraction candidate task, a candidate task that is likely to cause a dangerous event if the extraction candidate task is performed in a state where the state of the operator is specified,
the specific state comprises a predetermined direction of sight, a predetermined physiological state or a predetermined personality,
the predetermined line of sight directions include a direction not looking into the counterweight, a direction not looking down the car, or a direction not looking into the top of the hoistway,
the predetermined physiological state includes a diffuse state not focused on work, a high temperature obstacle state or a tense state when time is urgent,
the predetermined character includes impatient temperament or a slow response speed of the operator compared to the average.
12. The determination device according to claim 1,
in the case where there are 2 or more of the operators, the extraction unit extracts, as the extracted combination, a combination in which a dangerous event is likely to occur due to parallel execution of the candidate tasks by the operators when at least 1 operator out of 2 or more of the operators is in a specific state among a plurality of combinations obtained by combining the candidate tasks by the operators,
the specific state comprises a predetermined direction of sight, a predetermined physiological state or a predetermined personality,
the predetermined line of sight directions include a direction not looking into the counterweight, a direction not looking down the car, or a direction not looking into the top of the hoistway,
the predetermined physiological state includes a diffuse state not focused on work, a high temperature obstacle state or a tense state at the time of urgent time,
the predetermined personality includes an impatient quality or a slow response rate of the operator compared to the average.
13. A method for determining, wherein,
the computer extracts, as an extraction candidate job, a candidate job which is a job candidate that is likely to cause a dangerous event due to execution, among 1 or more jobs which are likely to be executed after the job addressed by the operator,
the computer determines whether or not to notify at least one of the operator and the operator-related person of a possibility of occurrence of a dangerous event, which is a possibility of occurrence of a dangerous event due to execution of the extraction candidate job, based on a probability that the extracted extraction candidate job is executed after the initiating job.
14. A computer-readable recording medium having a determination program recorded thereon, the determination program causing a computer to execute:
an extraction process of extracting, as an extraction candidate job, a candidate job which is likely to cause a dangerous event due to execution, among candidate jobs which are 1 or more jobs that are likely to be executed after the job addressed by the operator; and
and a notification determination process of determining whether or not to notify at least one of the operator and the operator related to the operation of a possibility of occurrence of a dangerous event, which is a possibility of occurrence of a dangerous event due to the execution of the extraction candidate operation, based on a probability of execution of the extraction candidate operation extracted by the extraction process after the initiating operation.
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Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003238041A (en) * | 2002-02-14 | 2003-08-27 | Hitachi Building Systems Co Ltd | Elevator maintenance device |
| JP2004046622A (en) * | 2002-07-12 | 2004-02-12 | Hitachi Building Systems Co Ltd | Device for creating instruction on maintenance work |
| JP2006151529A (en) * | 2004-11-25 | 2006-06-15 | Mitsubishi Electric Building Techno Service Co Ltd | Elevator maintenance work check system and elevator maintenance operator terminal device |
| CN104039513A (en) * | 2012-01-13 | 2014-09-10 | 三菱电机株式会社 | Risk measurement system |
| CN105836557A (en) * | 2014-12-05 | 2016-08-10 | 东芝电梯株式会社 | Device, system, and method for supporting maintenance work |
| JP6058748B1 (en) * | 2015-06-23 | 2017-01-11 | 東芝エレベータ株式会社 | Maintenance work support device |
| CN106662454A (en) * | 2014-08-06 | 2017-05-10 | 三菱电机株式会社 | Warning notification system, warning notification method, and program |
| CN108689269A (en) * | 2018-06-05 | 2018-10-23 | 日立楼宇技术（广州）有限公司 | Elevator debugging method, equipment, system, computer equipment and storage medium |
| JP2019156548A (en) * | 2018-03-12 | 2019-09-19 | 株式会社日立ビルシステム | Management server and management system |
Family Cites Families (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| DE2738628A1 (en) * | 1976-09-03 | 1978-03-09 | Stauffer Chemical Co | METHOD FOR PRODUCING ESTERS FROM THIOCARBAMID ACIDS |
| SG126743A1 (en) * | 2003-03-10 | 2006-11-29 | Inventio Ag | Method for the operation of a lift installation |
| JP5463964B2 (en) * | 2010-03-05 | 2014-04-09 | 三菱電機株式会社 | Work content estimation apparatus and work content estimation method |
| JP6311544B2 (en) * | 2014-09-08 | 2018-04-18 | 三菱電機ビルテクノサービス株式会社 | Elevator control system |
| JP6030170B2 (en) | 2015-03-10 | 2016-11-24 | 東芝エレベータ株式会社 | Elevator maintenance work support device |
| CN110114294B (en) | 2016-12-26 | 2020-11-03 | 三菱电机株式会社 | Recovery system |
| JP6297226B1 (en) * | 2017-03-01 | 2018-03-20 | 三菱電機株式会社 | Work instruction system, information processing apparatus, program, and work instruction method |
| JP6416302B2 (en) * | 2017-03-09 | 2018-10-31 | 東芝エレベータ株式会社 | Elevator system |
| US20190164407A1 (en) | 2017-11-30 | 2019-05-30 | Walmart Apollo, Llc | System and Method for Accident Monitoring in a Facility |
| JP6369664B1 (en) | 2017-12-20 | 2018-08-08 | 三菱電機ビルテクノサービス株式会社 | Elevator maintenance work support device and elevator maintenance work support system |
| CN108898360A (en) * | 2018-06-22 | 2018-11-27 | 中国能源建设集团安徽电力建设第工程有限公司 | A kind of power engineering wisdom building site integrated control information system |
| CN110222918A (en) * | 2019-04-18 | 2019-09-10 | 重庆恢恢信息技术有限公司 | Wisdom building site management system, server and storage medium based on cloud platform |
-
2019
- 2019-11-20 WO PCT/JP2019/045492 patent/WO2021100157A1/en active Application Filing
- 2019-11-20 JP JP2021558104A patent/JP7016454B2/en active Active
- 2019-11-20 KR KR1020227019843A patent/KR102467113B1/en active IP Right Grant
- 2019-11-20 CN CN201980102331.7A patent/CN114728759B/en active Active
-
2020
- 2020-05-07 TW TW109115179A patent/TWI782276B/en active
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003238041A (en) * | 2002-02-14 | 2003-08-27 | Hitachi Building Systems Co Ltd | Elevator maintenance device |
| JP2004046622A (en) * | 2002-07-12 | 2004-02-12 | Hitachi Building Systems Co Ltd | Device for creating instruction on maintenance work |
| JP2006151529A (en) * | 2004-11-25 | 2006-06-15 | Mitsubishi Electric Building Techno Service Co Ltd | Elevator maintenance work check system and elevator maintenance operator terminal device |
| CN104039513A (en) * | 2012-01-13 | 2014-09-10 | 三菱电机株式会社 | Risk measurement system |
| CN106662454A (en) * | 2014-08-06 | 2017-05-10 | 三菱电机株式会社 | Warning notification system, warning notification method, and program |
| CN105836557A (en) * | 2014-12-05 | 2016-08-10 | 东芝电梯株式会社 | Device, system, and method for supporting maintenance work |
| JP6058748B1 (en) * | 2015-06-23 | 2017-01-11 | 東芝エレベータ株式会社 | Maintenance work support device |
| JP2019156548A (en) * | 2018-03-12 | 2019-09-19 | 株式会社日立ビルシステム | Management server and management system |
| CN108689269A (en) * | 2018-06-05 | 2018-10-23 | 日立楼宇技术（广州）有限公司 | Elevator debugging method, equipment, system, computer equipment and storage medium |
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| JPWO2021100157A1 (en) | 2021-05-27 |
| TW202121273A (en) | 2021-06-01 |
| TWI782276B (en) | 2022-11-01 |
| KR102467113B1 (en) | 2022-11-14 |
| JP7016454B2 (en) | 2022-02-04 |
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| KR20220086702A (en) | 2022-06-23 |
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