Embodiment mode 1
Fig. 1 is a configuration diagram of an elevator operation condition monitoring device according to embodiment 1 of the present invention.
The hoisting machine of fig. 1 is an elevator. A hoistway, not shown, passes through each floor of the building. For example, the hoisting machine 1 is provided in an upper part of a hoistway. The main ropes 2 are wound around the hoisting machine 1. The car 3 is provided inside the hoistway. The car 3 is supported by one end of the main rope 2. The counterweight 4 is provided inside the hoistway. The counterweight 4 is supported by the other end of the main rope 2. For example, the control device 5 is provided inside the hoistway. For example, the control device 5 is constituted by a microcomputer.
The control device 5 outputs a rotation command to the hoisting machine 1. The hoisting machine 1 rotates in accordance with the rotation command. The main ropes 2 move following the rotation of the hoisting machine 1. The car 3 and the counterweight 4 move up and down following the movement of the main rope 2.
For example, the monitoring center 6 is provided in the building. For example, the monitoring center 6 is provided in a maintenance company of an elevator remote from the building.
For example, the work condition monitoring system 7 is adjacent to the control device 5. For example, the work condition monitoring system 7 is provided in the monitoring center 6. The work condition monitoring system 7 includes a storage device 8 and a work condition monitoring device 9.
The storage device 8 stores information on the work place, the work content, and the abnormality detection condition in association with each other. The work condition monitoring device 9 includes a work estimating unit 9a, an abnormality detecting unit 9b, and a notifying unit 9 c.
During maintenance work of the elevator, the worker carries the sensor device 10.
At this time, the work estimating unit 9a estimates the work place and the work content based on the elevator signal input from the control device 5. For example, the job estimation unit 9a estimates the contents of the job according to the method disclosed in japanese patent laid-open No. 2013-24061.
The abnormality detection unit 9b establishes wireless communication with the sensor device 10 when the work estimation unit 9a estimates that the first work is started.
When wireless communication is established with the sensor device 10, the abnormality detection unit 9b requests the storage device 8 to output information on the abnormality detection condition corresponding to the work location and the work content estimated by the work estimation unit 9 a. The abnormality detection unit 9b sets the abnormality detection condition corresponding to the information input from the storage device 8 as the abnormality detection condition at the current time.
The sensor device 10 outputs information corresponding to the movement of the operator. For example, the sensor device 10 outputs information on acceleration corresponding to the movement of the operator. For example, the sensor device 10 outputs information on an angular velocity corresponding to the movement of the operator.
The abnormality detection unit 9b determines whether or not the content of the information input from the sensor device 10 satisfies the abnormality detection condition at the present time.
The notification unit 9c determines whether or not to perform notification based on the determination result of the abnormality detection unit 9 b. The notification unit 9c does not perform notification when the content of the information input from the sensor device 10 does not satisfy the abnormality detection condition at the current time. The notification unit 9c notifies the monitoring center 6 when the content of the information input from the sensor device 10 satisfies the abnormality detection condition at the present time.
The abnormality detection unit 9b cuts off wireless communication with the sensor device 10 when the work estimation unit 9a estimates that the last work is completed.
Next, an example of the operation condition monitoring device 9 will be described with reference to fig. 2.
Fig. 2 is a hardware configuration diagram for explaining a working condition monitoring device of an elevator according to embodiment 1 of the present invention.
As shown in fig. 2, the work condition monitoring device 9 has a processing circuit 11. The processing circuit 11 has at least one processor 11a and at least one memory 11 b. The operations of the respective units of the work condition monitoring apparatus 9 are realized by the at least one processor 11a executing a program stored in the at least one memory 11 b.
Next, an outline of the operation of the work condition monitoring device 9 will be described with reference to fig. 3.
Fig. 3 is a flowchart for explaining an outline of the operation of the working condition monitoring device of the elevator according to embodiment 1 of the present invention.
In step S1, the job estimation section 9a estimates the start of the job. Then, the process proceeds to step S2. In step S2, the abnormality detection unit 9b starts monitoring the output of the sensor device 10. Then, the process proceeds to step S3. In step S3, the notification unit 9c performs a notification determination process.
Then, the process proceeds to step S4. In step S4, the job estimation section 9a estimates the completion of the job. Then, the process proceeds to step S5. In step S5, the abnormality detection unit 9b ends monitoring the output of the sensor device 10. Then, the action ends.
Next, the outline of the notification determination process will be described with reference to fig. 4.
Fig. 4 is a flowchart for explaining an outline of notification determination processing by the working condition monitoring device for the elevator according to embodiment 1 of the present invention.
In step S11, the work estimation unit 9a estimates the work location and the work content. Then, the process proceeds to step S12. In step S12, the work estimation unit 9a determines whether or not all the works have been completed.
If it is determined in step S12 that all jobs have not been completed, the process proceeds to step S13. In step S13, the abnormality detection unit 9b sets an abnormality detection condition. Then, the process proceeds to step S14. In step S14, the abnormality detection unit 9b determines whether or not the abnormality detection condition is satisfied.
If it is determined in step S14 that the abnormality detection condition is not satisfied, the process returns to step S11. If it is determined in step S14 that the abnormality detection condition is satisfied, the process proceeds to step S15. In step S15, the notification unit 9c performs notification. Then, the action ends.
If it is determined in step S12 that all the operations have been completed, the operations are terminated.
Next, the abnormality detection condition will be described with reference to fig. 5.
Fig. 5 is a diagram for explaining details of the abnormality detection condition of the working condition monitoring device for an elevator according to embodiment 1 of the present invention.
As shown in fig. 5, the abnormality detection conditions include the 1 st abnormality detection condition and the 2 nd abnormality detection condition. The 1 st abnormality detection condition and the 2 nd abnormality detection condition correspond to the work place and the work content.
The 1 st abnormality detection condition is a condition concerning the feature quantity. The characteristic amount is set in accordance with the output of the characteristic sensor device 10 in each operation. The feature amount is set in advance. For example, the feature amount is set based on a log of outputs of the sensor device 10 accumulated when the worker carries the sensor device 10 several times while performing each job. For example, when the sensor device 10 outputs information on the acceleration, the feature amount is set based on the average of the acceleration, the variance of the acceleration, the maximum value of the acceleration, the minimum value of the acceleration, and the like.
The 2 nd abnormality detection condition is a condition after the impact is applied. The impact is set in accordance with the output of the sensor device 10 being equal to or greater than a predetermined value. For example, when the sensor device 10 outputs information on acceleration, the impact is set in accordance with acceleration of 1G or more.
In fig. 5, "location a" as a work location corresponds to "work α", "work β", and "work γ" as work contents.
For example, "no feature amount is observed even if the monitoring time X1 minutes has elapsed" as the 1 st abnormality detection condition corresponds to "job α" as the job content, "monitoring time X1" is set in advance as the time required to complete "job α".
For example, "no feature amount is observed even if the monitoring time X2 minutes has elapsed" as the 1 st abnormality detection condition corresponds to "job β" as the job content, "monitoring time X2" is set in advance as the time required to complete "job β".
For example, "the feature amount is not observed even when the monitoring time X3 minutes elapses" as the 1 st abnormality detection condition corresponds to "the job γ" as the job content. The "monitoring time X3" is set in advance as the time required to complete the "job γ".
For example, "output observed at the time of normal action is not observed in information from the sensor device within several minutes" as the 2 nd abnormality detection condition corresponds to "job α", "job β", and "job γ" as the job contents, "several minutes" is set to about 1 minute or 2 minutes.
For example, "no change in elevator signal due to operation of the operator can be observed within several minutes" as the 2 nd abnormality detection condition corresponds to "operation α", "operation β", and "operation γ" as the operation contents, "several minutes" is set to about 1 minute or 2 minutes.
Next, an example of the notification determination process based on the 1 st abnormality detection condition will be described with reference to fig. 6.
Fig. 6 is a flowchart for explaining an example of notification determination processing by the working condition monitoring device for the elevator according to embodiment 1 of the present invention.
In step S21, the job estimation section 9a estimates the start of the job. Then, the process proceeds to step S22. In step S22, the abnormality detection unit 9b determines whether or not an output including a feature amount corresponding to the work place and the work content is observed in the information from the sensor device 10.
If it is determined in step S22 that the output including the feature value corresponding to the work place and the work content is not observed, the process proceeds to step S23. In step S23, the abnormality detection unit 9b recognizes that the operation has not been completed. Then, the process proceeds to step S24. In step S24, the abnormality detection unit 9b determines whether or not the monitoring time corresponding to the work place and the work content has elapsed.
If it is determined in step S24 that the monitoring time corresponding to the work place and the work content has not elapsed, the process returns to step S22. If it is determined in step S22 that an output including a feature amount corresponding to the work place and the work content is observed, the process proceeds to step S25. In step S25, the abnormality detection unit 9b recognizes that the job is completed. Then, the action ends.
When the monitoring time corresponding to the work place and the work content has elapsed in step S24, the process proceeds to step S26. In step S26, the abnormality detector 9b detects the occurrence of a certain abnormality (for example, the worker falls down). At this time, the notification unit 9c performs notification. Then, the action ends.
According to embodiment 1 described above, when the sensor device 10 does not output information relating to the feature value corresponding to the work place and the work content during the monitoring time corresponding to the work place and the work content, an abnormality is detected. Therefore, even when no impact is applied, the abnormality of the operator can be reliably detected. For example, it is possible to detect a state in which the work is difficult to continue because the work cannot be moved due to an electric shock. For example, it is possible to detect a state in which it is difficult to continue the work due to a non-fatal impact.
Further, the sensor device 10 may detect an abnormality when the related information of the feature amount corresponding to either the work place or the work content is not output during the monitoring time corresponding to only either the work place or the work content. In this case, the abnormality of the operator can be reliably detected.
The abnormality detection unit 9b also recognizes the completion of each operation. Therefore, it is possible to prevent erroneous detection as an abnormality when each job is completed early.
In addition, notification is performed when an abnormality is detected. Therefore, the monitoring center 6 and the like can be notified of the abnormality of the operator.
The abnormality detection unit 9b establishes wireless communication with the sensor device 10 when the work estimation unit 9a estimates that the first work is started. The abnormality detection unit 9b cuts off the wireless communication of the sensor device 10 when the work estimation unit 9a estimates that the last work is completed. Therefore, it is possible to prevent an error from being detected as an abnormality when the maintenance work of the elevator is not performed. It is possible to prevent forgetting detection of an abnormality when performing maintenance work of an elevator.
The feature amount when the presence or absence of a malfunction is determined varies depending on the work place and the work content. Therefore, the abnormality of the operator can be detected more reliably.
The feature amount may be changed depending on only one of the work place and the work content. In this case, the abnormality of the operator can be reliably detected.
The monitoring time when determining the presence or absence of a malfunction varies depending on the work place and the work content. Therefore, the abnormality of the operator can be detected more reliably.
Further, the monitoring time may be changed depending on only one of the work place and the work content. In this case, the abnormality of the operator can be reliably detected.
In the connection between the abnormality detection unit 9b and the sensor device 10, the sensor device 10 registered in advance may be a connection target. All the peripheral sensor devices 10 may be connected. The energization and the interruption of the energization of the sensor device 10 may be managed based on an input from the abnormality detection unit 9 b.
Further, the notification instruction may be enabled to be output by operating a button provided in the sensor device 10. In this case, the monitoring center 6 and the like can be notified in accordance with the active operation of the operator.
Industrial applicability
As described above, the working condition monitoring device for an elevator according to the present invention can be used in a system capable of reliably detecting an abnormality of an operator even when no impact is applied.
Description of the reference symbols
1, a traction machine; 2 a main rope; 3, a lift car; 4, counterweight; 5 a control device; 6, monitoring the center; 7 a work condition monitoring system; 8 a storage device; 9a working condition monitoring device; 9a work estimating section; 9b an abnormality detection unit; 9c a notification unit; 10 a sensor device; 11a processing circuit; 11a processor; 11b memory.