WO2021186621A1 - Information collection system for elevator - Google Patents

Information collection system for elevator Download PDF

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Publication number
WO2021186621A1
WO2021186621A1 PCT/JP2020/012023 JP2020012023W WO2021186621A1 WO 2021186621 A1 WO2021186621 A1 WO 2021186621A1 JP 2020012023 W JP2020012023 W JP 2020012023W WO 2021186621 A1 WO2021186621 A1 WO 2021186621A1
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WO
WIPO (PCT)
Prior art keywords
route
car
abnormality
rope
candidate
Prior art date
Application number
PCT/JP2020/012023
Other languages
French (fr)
Japanese (ja)
Inventor
一輝 宮野
惇矢 宮城
賢一 小泉
Original Assignee
三菱電機ビルテクノサービス株式会社
三菱電機株式会社
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 三菱電機ビルテクノサービス株式会社, 三菱電機株式会社 filed Critical 三菱電機ビルテクノサービス株式会社
Priority to CN202080098531.2A priority Critical patent/CN115335312B/en
Priority to JP2021572666A priority patent/JP7099647B2/en
Priority to PCT/JP2020/012023 priority patent/WO2021186621A1/en
Publication of WO2021186621A1 publication Critical patent/WO2021186621A1/en

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00Applications of checking, fault-correcting, or safety devices in elevators
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00Applications of checking, fault-correcting, or safety devices in elevators
    • B66B5/02Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions

Definitions

  • This disclosure relates to an elevator information collection system.
  • Patent Document 1 discloses an example of an elevator rope monitoring device.
  • the rope monitoring device estimates the portion of the rope where the deformation has occurred, based on the relationship between the pulley and the portion of the rope provided with the collision detection sensor that detects the collision of the rope.
  • Patent Document 1 does not disclose control of elevator operation when detecting an abnormality such as deformation of a rope.
  • an abnormality such as deformation of a rope.
  • the user's convenience may be reduced due to a long waiting time or the like.
  • the information used for estimating the part where the abnormality has occurred may not be collected depending on the call situation.
  • the present disclosure provides an information collection system capable of calculating an operation route suitable for collecting information used for estimating a site where an abnormality has occurred in a rope.
  • the elevator information gathering system is provided for the rope of the elevator that moves when the car of the elevator travels, and has a plurality of sensitive parts that react to abnormalities of the rope in each sensitive range. For each, it is based on a storage unit that stores the relationship between the rope part and the position of the car in the sensitive range, and the relationship that the car position and the storage unit store when an abnormality in the rope is detected.
  • a candidate extraction unit that extracts a rope part in each of the feeling ranges of the plurality of feeling parts guided by the method as a plurality of candidates for the part of the rope in which the abnormality has occurred, or at least one of the plurality of candidates.
  • a route calculation unit for calculating one or more operation routes passing through at least one of the feeling ranges of the plurality of feeling units is provided.
  • FIG. It is a block diagram of the elevator which concerns on Embodiment 1.
  • FIG. It is a block diagram of the information gathering system which concerns on Embodiment 1.
  • FIG. It is a figure which shows the example of the extraction of the candidate of the part where the abnormality occurred of the information gathering system which concerns on Embodiment 1.
  • FIG. It is a figure which shows the example of the extraction of the candidate of the part where the abnormality occurred of the information gathering system which concerns on Embodiment 1.
  • FIG. It is a figure which shows the example of the information gathering of the information gathering system which concerns on Embodiment 1.
  • FIG. It is a figure which shows the example of the information gathering of the information gathering system which concerns on Embodiment 1.
  • FIG. It is a figure which shows the example of the information gathering of the information gathering system which concerns on Embodiment 1.
  • FIG. It is a figure which shows the example of the information gathering of the information gathering system which concerns on Embodiment 1.
  • FIG. It is a figure which shows the
  • FIG. 1 It is a figure which shows the example of the information gathering of the information gathering system which concerns on Embodiment 1.
  • FIG. It is a flowchart which shows the example of the operation of the information gathering system which concerns on Embodiment 1.
  • FIG. It is a hardware block diagram of the main part of the information gathering system which concerns on Embodiment 1.
  • FIG. 1 is a configuration diagram of an elevator according to the first embodiment.
  • Elevator 1 is applied to buildings.
  • the building has multiple floors.
  • a hoistway 2 is provided over a plurality of floors.
  • the hoistway 2 is a space that is long in the vertical direction.
  • a landing 3 is provided on each of the plurality of floors.
  • a landing door (not shown) is provided.
  • the landing door is a door that separates the landing 3 and the hoistway 2.
  • the elevator 1 includes a hoisting machine 4, a main rope 5, a car 6, a counterweight 7, a car-side fixed pulley 8, a weight-side fixed pulley 9, and a control panel 10.
  • the hoisting machine 4 is provided, for example, at the upper part or the lower part of the hoistway 2. Alternatively, when the machine room is provided in the building, the hoisting machine 4 may be provided in the machine room.
  • the hoisting machine 4 has a sheave 11 and a motor 12.
  • the sheave 11 of the hoisting machine 4 is connected to the rotating shaft of the motor 12 of the hoisting machine 4.
  • the sheave 11 of the hoisting machine 4 is an example of the pulley of the elevator 1.
  • the motor 12 of the hoisting machine 4 is a device that generates a driving force for rotating the sheave 11 of the hoisting machine 4.
  • the main rope 5 is wound around the sheave 11 of the hoisting machine 4.
  • the main rope 5 is an example of the rope of the elevator 1. Both ends of the main rope 5 are fixed in the hoistway 2.
  • the car 6 is suspended by the main rope 5 on one side of the sheave 11 of the hoisting machine 4.
  • the counterweight 7 is suspended by the main rope 5 on the other side of the sheave 11 of the hoist 4.
  • the car 6 is a device that transports a user or the like between a plurality of floors by traveling vertically inside the hoistway 2.
  • the car 6 includes a car door (not shown).
  • the car door is a device that opens and closes so that the user of the elevator 1 can get on and off the car 6 when the car 6 is stopped on any floor.
  • the landing door on the floor where the car 6 is stopped opens and closes in conjunction with the car door.
  • the counterweight 7 is a device that balances the load applied to the sheave 11 of the hoisting machine 4 with the car 6 through the plurality of main ropes 5.
  • the car 6 and the counterweight 7 travel in opposite directions on the hoistway 2 due to the movement of the main rope 5 by the rotation of the sheave 11 of the hoisting machine 4. That is, when the car 6 travels, the main rope 5 moves with respect to the pulley of the elevator 1 such as the sheave 11 of the hoisting machine 4.
  • the car-side fixed pulley 8 is a pulley on which the main rope 5 is wound between the sheave 11 and the car 6 of the hoisting machine 4.
  • the weight-side constant pulley 9 is a pulley on which the main rope 5 is wound between the sheave 11 and the counterweight 7 of the hoisting machine 4.
  • Each of the car-side fixed pulley 8 and the weight-side fixed pulley 9 is arranged so as not to move in the vertical direction on the hoistway 2.
  • Each of the car-side fixed pulley 8 and the weight-side fixed pulley 9 is an example of the pulley of the elevator 1.
  • the control panel 10 is a part that controls the operation of the elevator 1.
  • the operation of the elevator 1 includes the operation of the elevator 1 such as the running of the car 6.
  • the car 6 includes a first car side moving pulley 13a and a second car side moving pulley 13b.
  • Each of the first car side moving pulley 13a and the second car side moving pulley 13b moves in the hoistway 2 in the vertical direction as the car 6 travels.
  • Each of the first car side moving pulley 13a and the second car side moving pulley 13b is provided, for example, at the lower part of the car 6.
  • Each of the first car side moving pulley 13a and the second car side moving pulley 13b is a pulley around which the main rope 5 is wound.
  • Each of the first car side moving pulley 13a and the second car side moving pulley 13b is an example of the pulley of the elevator 1.
  • the balancing weight 7 includes a weight-side moving pulley 14.
  • the weight-side moving pulley 14 moves in the hoistway 2 in the vertical direction as the counterweight 7 travels.
  • the weight-side moving pulley 14 is provided, for example, on the upper portion of the counterweight 7.
  • the weight-side moving pulley 14 is a pulley around which the main rope 5 is wound.
  • the weight-side moving pulley 14 is an example of the pulley of the elevator 1.
  • the rope of the elevator 1 is a rope that moves when the car 6 travels.
  • the pulley of the elevator 1 is a pulley around which the rope of the elevator 1 is wound.
  • the main rope 5, which is an example of the rope of the elevator 1 is a weight-side moving pulley 14, a weight-side fixed pulley 9, a sheave 11 of the hoisting machine 4, a car-side fixed pulley 8, and a first car-side moving pulley 13a.
  • the second car side moving pulley 13b are wound in this order.
  • an abnormality may occur in the rope of elevator 1.
  • the abnormality that occurs in the rope of the elevator 1 is, for example, the breakage of the wire of the rope of the elevator 1.
  • the broken wire may collide with, for example, the stopper of the pulley of the elevator 1.
  • the torque value of the motor 12 of the hoisting machine 4 may fluctuate due to an increase in resistance due to a collision or the like. Therefore, for example, by monitoring the fluctuation of the torque value of the motor 12 of the hoisting machine 4, an abnormality of the rope of the elevator 1 is detected.
  • the elevator 1 has a plurality of sensitive parts that react to an abnormality in the rope of the elevator 1.
  • the sensation range corresponds to each sensational part.
  • Each sensational portion is a portion that reacts to an abnormality in the rope of the elevator 1 in the corresponding sensational range.
  • the sensitive part is provided for the rope of the elevator.
  • the sensitive portion is, for example, a pulley or a pulley stopper.
  • the reaction to the abnormality of the rope is an increase in the resistance of the rope due to the collision of the broken wire with the pulley's stopper.
  • the abnormality generated in the rope of the elevator 1 is detected through a physical quantity such as a resistance or a torque value that changes due to the reaction of the sensitive portion.
  • the sensible range is, for example, a spatial range including a sensible portion corresponding to the sensible range.
  • the felt range is, for example, the range including the portion of the total length of the rope of the elevator 1 that is wound around the pulley.
  • the sensation portion is a stopper for the pulley
  • the sensation range includes the portion of the total length of the rope of the elevator 1 that is wound around the pulley and includes the stopper.
  • FIG. 2 is a configuration diagram of the information collection system 15 according to the first embodiment.
  • the information collection system 15 includes an operation control unit 16, a storage unit 17, an abnormality detection unit 18, a candidate extraction unit 19, a site estimation unit 20, a notification unit 21, a route calculation unit 22, and a route selection unit 23. And.
  • the operation control unit 16 is a part that controls the operation of the elevator 1.
  • the operation control unit 16 is provided on, for example, the control panel 10.
  • the operation of the elevator 1 includes, for example, running the car 6, opening and closing the car door, and registering a call.
  • the storage unit 17 is a portion that stores information of the sensitive unit.
  • the storage unit 17 stores information on the pulley of the elevator 1.
  • the storage unit 17 is provided in, for example, the control panel 10.
  • the portion of the main rope 5 that falls within the perceived range of each of the plurality of pulleys of the elevator 1 changes depending on the movement of the main rope 5.
  • the car 6 of the elevator 1 travels on the hoistway 2 by the movement of the main rope 5. Therefore, the portion of the main rope 5 corresponding to the plurality of pulleys of the elevator 1 corresponds to the position of the car 6.
  • the number of pulleys or the arrangement of a plurality of pulleys may differ depending on the model of the elevator 1.
  • the storage unit 17 stores the relationship between the portion of the main rope 5 and the position of the car 6 in the perceived range of each of the plurality of pulleys of the elevator 1 as the information of the pulleys of the elevator 1.
  • the relationship stored by the storage unit 17 is, for example, a relationship in which the portion of the main rope 5 in the sensation range of the pulley of the elevator 1 is associated with the position of the car 6.
  • the storage unit 17 may store, for example, a table showing the correspondence between the portion of the main rope 5 and the position of the car 6 in the felt range of the pulley of the elevator 1.
  • the storage unit 17 may store information representing, for example, a portion of the main rope 5 in the felt range of the pulley of the elevator 1 as a function of the position of the car 6.
  • the abnormality detection unit 18 is a portion that detects an abnormality in the rope of the elevator 1 by the reaction of the sensitive unit.
  • the abnormality detection unit 18 detects the abnormality of the main rope 5 as follows, for example, through the stopper of the pulley of the elevator 1 which is an example of the sensitive unit.
  • the resistance of the main rope 5 increases when the abnormal portion generated in the main rope 5 collides with the stopper.
  • a torque sensor (not shown) detects fluctuations in the torque value of the motor 12 due to an increase in the resistance of the main rope 5.
  • the abnormality detection unit 18 detects an abnormality in the main rope 5 by receiving a detection signal from the torque sensor.
  • the abnormality detection unit 18 is provided, for example, in the motor 12 of the hoisting machine 4.
  • the abnormality detection unit 18 may be provided on the control panel 10. When the abnormality detection unit 18 detects an abnormality, it notifies, for example, the candidate extraction unit 19.
  • the candidate extraction unit 19 sets a plurality of rope parts of the elevator 1 in each of the feeling ranges of the plurality of feeling parts with respect to the rope parts where the abnormality has occurred. This is the part to be extracted as a candidate for.
  • the portion of the main rope 5 in the sensation range of the pulley of the elevator 1 is derived based on the position of the car 6 when the abnormality is detected and the relationship memorized by the storage unit 17.
  • the candidate extraction unit 19 is provided on, for example, the control panel 10.
  • the candidate extraction unit 19 outputs the extracted candidate information to, for example, the site estimation unit 20.
  • the part estimation unit 20 is a part that estimates a part where an abnormality has occurred in the rope of the elevator 1 from the candidates extracted by the candidate extraction unit 19.
  • the site estimation unit 20 is provided on, for example, the control panel 10.
  • the site estimation unit 20 can estimate the site where the abnormality has occurred, the site estimation unit 20 outputs the estimation result to the notification unit 21.
  • the site estimation unit 20 notifies the route calculation unit 22 when the site where the abnormality has occurred cannot be estimated.
  • the notification unit 21 is a part that notifies an abnormality or the like that has occurred in the elevator 1.
  • the notification unit 21 notifies, for example, the administrator of the elevator 1 or the information center.
  • the information center is a base for collecting information on the elevator 1.
  • the notification unit 21 is provided on, for example, the control panel 10.
  • the route calculation unit 22 is a part that calculates an operation route for collecting information used for estimating a part where an abnormality has occurred in the rope of the elevator 1.
  • the driving route is, for example, a route on which the car 6 travels.
  • the driving path is, for example, a sequence of one or more positions where the car 6 stops in the hoistway 2.
  • the position where the car 6 stops in the hoistway 2 is, for example, one of a plurality of floors.
  • the route calculation unit 22 is provided on, for example, the control panel 10.
  • the route calculation unit 22 calculates the operation route when receiving a notification from, for example, the part estimation unit 20.
  • the route calculation unit 22 calculates one or more operation routes based on the candidate information extracted by the candidate extraction unit 19.
  • the route calculation unit 22 outputs the calculated operation route to, for example, the route selection unit 23.
  • the route selection unit 23 is a part that selects one driving route for actually traveling the car 6 from one or more routes calculated by the route calculation unit 22.
  • the route calculation unit 22 is provided on, for example, the control panel 10.
  • the route selection unit 23 may acquire the candidate information extracted by the candidate extraction unit 19 through, for example, the route calculation unit 22.
  • the route selection unit 23 selects an operation route based on the acquired candidate information and the like.
  • the route selection unit 23 outputs the selected operation route to the operation control unit 16.
  • FIGS. 3 and 4 are diagrams showing an example of extracting candidates for a site where an abnormality has occurred in the information collection system according to the first embodiment.
  • FIG. 3 shows an example of a candidate extracted when an abnormality is detected for the first time.
  • no anomaly was detected prior to the situation shown in FIG.
  • the portion where the abnormality occurs in the main rope 5 is indicated by a cross symbol.
  • the candidates extracted by the first detection are indicated by solid triangle symbols.
  • the weight-side fixed pulley 9 reacts to the abnormality of the main rope 5 for the first time.
  • the abnormality detection unit 18 detects the abnormality of the main rope 5.
  • the candidate extraction unit 19 selects a plurality of candidates for the main rope 5 in the perceived range of each of the plurality of pulleys in the elevator 1 based on the relationship between the current position of the car 6 and the storage unit 17. Extract as.
  • the plurality of candidates include the portion of the main rope 5 in the felt range of the weight-side fixed pulley 9.
  • the plurality of candidates include the part of the main rope 5 in the sensitive range of the other pulleys, the part where the abnormality has occurred in the main rope 5 is not estimated at this time. After that, the car 6 continues to run.
  • FIG. 4 shows an example of a candidate extracted when an abnormality is detected for the second time.
  • the portion of the main rope 5 where the abnormality has occurred is indicated by a cross symbol.
  • the candidates extracted by the first detection are indicated by solid triangle symbols.
  • the candidates extracted by the second detection are indicated by broken line triangle symbols.
  • the candidate for the part where the abnormality has occurred also moves together with the main rope 5.
  • the part where the abnormality has occurred also moves together with the main rope 5.
  • the weight side moving pulley 14 reacts to the abnormality of the main rope 5 for the second time.
  • the abnormality detection unit 18 detects the abnormality of the main rope 5.
  • the candidate extraction unit 19 selects a plurality of candidates for the main rope 5 in the perceived range of each of the plurality of pulleys in the elevator 1 based on the relationship between the current position of the car 6 and the storage unit 17. Extract as.
  • the plurality of candidates include the portion of the main rope 5 within the sensitive range of the weight-side moving pulley 14.
  • the plurality of candidates also include the portion of the main rope 5 within the sensitive range of the other pulleys.
  • the portion within the sensation range of the weight-side moving pulley 14 when the abnormality is detected the second time is extracted as a candidate in both the first detection and the second detection.
  • candidates for other parts are extracted as candidates in only one of the first detection and the second detection. Therefore, the portion within the sensitive range of the weight-side moving pulley 14 when the abnormality is detected for the second time is a promising candidate as the portion where the abnormality has occurred.
  • FIGS. 5 to 7 are diagrams showing an example of information collection of the information collection system according to the first embodiment.
  • FIG. 5 shows an example of a candidate extracted when an abnormality is detected.
  • the extracted candidates are indicated by triangular symbols.
  • the user at the platform 3 on the 5th floor is operating the platform call.
  • the landing call is registered as a call to stop the car 6 on the 5th floor.
  • the abnormality detection unit 18 detects an abnormality.
  • the candidate extraction unit 19 selects a plurality of candidates for the main rope 5 in the perceived range of each of the plurality of pulleys in the elevator 1 based on the relationship between the current position of the car 6 and the storage unit 17. Extract as.
  • the candidate extraction unit 19 calculates the candidate index value for each of the extracted plurality of candidates.
  • the candidate index value is a value indicating the potential as a candidate for the part of the rope where the abnormality has occurred. That is, the candidate with a high candidate index value is likely to be the site of the rope where the abnormality has occurred.
  • the candidate index value corresponding to the part of the main rope 5 is a score added each time the part is extracted as a candidate.
  • the candidate index value is stored in, for example, the candidate extraction unit 19 in association with the portion of the main rope 5.
  • the main rope 5 is classified into a plurality of areas based on the frequency of contact with the pulley in the operation of the elevator 1.
  • the area of the classified main rope 5 is indicated by hatching.
  • the region A3 is the region having the highest frequency of contact with the pulley.
  • Region A2 is a region where the frequency of contact with the pulley is lower than the frequency of region A3.
  • Region A1 is a region where the frequency of contact with the pulley is lower than the frequency of region A2.
  • the region A3 is a region in which an abnormality is more likely to occur than the region A2.
  • Information on classification according to the region of the main rope 5 is stored in, for example, a storage unit 17.
  • the candidate extraction unit 19 calculates the candidate index value as follows based on the area of the classified main rope 5.
  • the candidate extraction unit 19 adds a value set based on the region to the score of the candidate index value for each of the plurality of extracted candidates.
  • the value added to the score of the candidate extracted from the area A3 is larger than the value added to the score of the candidate extracted from the area A2.
  • the value added to the score of the candidate extracted from the area A2 is larger than the value added to the score of the candidate extracted from the area A1.
  • the candidate extraction unit 19 may reduce the candidate index value with respect to the portion that was not extracted as a candidate when the abnormality was detected.
  • the candidate extraction unit 19 outputs the information of the candidates extracted in this way to the site estimation unit 20.
  • the method of dividing the main rope 5 into the area A1 to the area A3 and adding a different score for each area to the candidate index value is described as an example, the method of calculating the candidate index value is not limited to this.
  • the candidate index value may be calculated by a method of adding the same score regardless of the region. As a result, the candidate index value of the region of the main rope 5 extracted as the most candidate can be set to the highest value.
  • the part estimation unit 20 narrows down the part of the main rope 5 in which the abnormality has occurred from the information extracted by the candidate extraction unit 19.
  • the site estimation unit 20 estimates that, for example, when there is a candidate whose candidate index value is higher than a preset threshold value, the candidate is a site where an abnormality has occurred. For example, when there is no candidate whose candidate index value is higher than the threshold value, the site estimation unit 20 cannot estimate the site where the abnormality has occurred.
  • the site estimation unit 20 may estimate all the sites of the plurality of candidates as sites where an abnormality has occurred.
  • the site estimation unit 20 may estimate the candidate having the highest candidate index value as the site where the abnormality has occurred.
  • the site estimation unit 20 may not be able to estimate the site where the abnormality has occurred.
  • the notification unit 21 receives the estimation result output from the part estimation unit 20.
  • the estimation result includes, for example, information that an abnormality has occurred and the site where the abnormality has occurred.
  • the notification unit 21 notifies the received estimation result.
  • the elevator 1 may continue normal operation even after the notification unit 21 notifies.
  • the route calculation unit 22 receives a notification from the site estimation unit 20. Upon receiving the notification, the route calculation unit 22 lists possible operation routes from the current position of the car 6, for example. At this time, the route calculation unit 22 may exclude an operation route in which the mileage of the car 6 is longer than a preset threshold value. The route calculation unit 22 calculates one or more driving routes in which at least one of the plurality of candidates passes through at least one of the feeling ranges of the plurality of pulleys among the listed driving routes. The route calculation unit 22 outputs one or more calculated operation routes to the route selection unit 23.
  • the route calculation unit 22 calculates the operation route. Is not limited to this time.
  • the route calculation unit 22 calculates the operation route by the same processing so that when the part estimation unit 20 can estimate the part where the abnormality has occurred, it can confirm whether the estimation result of the part estimation unit 20 is correct. And output etc. may be performed.
  • the route selection unit 23 selects one operation route for actually traveling the car 6 from one or more operation routes input from the route calculation unit 22.
  • FIG. 6 shows an example of an operation route selected by the route selection unit 23.
  • the candidates extracted when the car 6 is in the position of FIG. 5 are indicated by triangular symbols.
  • the route selection unit 23 selects an operation route based on, for example, registered call information.
  • the route selection unit 23 acquires call information from, for example, an operation control unit 16.
  • a landing call for stopping the car 6 is registered on the 5th floor.
  • the route selection unit 23 selects, for example, an operation route for stopping the car 6 on the 5th floor.
  • the route selection unit 23 selects, for example, an operation route for raising the car 6 on the second floor and stopping it on the fifth floor.
  • the route selection unit 23 outputs the information of the selected operation route to the operation control unit 16.
  • the operation control unit 16 drives the car 6 according to the input operation route.
  • the car 6 In the driving path selected by the route selection unit 23, the car 6 is raised as a candidate part that is within the sensitive range of the first car side moving pulley 13a in the detection of the abnormality when the car 6 is at the position shown in FIG. Then, it passes through the sensation range of the fixed pulley 8 on the car side before reaching the 5th floor.
  • the abnormality can be detected while the car 6 travels on the driving route selected by the route selection unit 23.
  • the candidate index value is updated in the candidate extraction unit 19. In this way, information used for estimating the site where the abnormality has occurred is collected.
  • other candidates may pass through the sensitive range of other pulleys at different timings.
  • the candidate portion that was within the perceived range of the weight-side fixed pulley 9 in the detection of the abnormality when the car 6 was in the position of FIG. 5 was the weight-side moving pulley 14 before reaching the situation of FIG. It passes through the sensation range.
  • the route selection unit 23 may select an operation route for stopping the car 6 on the floor specified in the car call. good. For example, when a car call for designating the 4th floor is registered, the route selection unit 23 may select an operation route in which the car 6 on the 2nd floor is raised and stopped in the order of the 4th floor and the 5th floor. ..
  • the route selection unit 23 selects a driving route that does not allow the car 6 to travel in a direction away from the floor.
  • FIG. 7 another example of the operation route selected by the route selection unit 23 is shown.
  • the candidates extracted when the car 6 is in the position of FIG. 5 are indicated by triangular symbols. In the situation of FIG. 7, the call is not registered.
  • the route selection unit 23 may select an operation route based on the candidate index value. At this time, the route selection unit 23 acquires information on the candidate index value from, for example, the candidate extraction unit 19. The route selection unit 23 specifies, for example, one candidate having the highest candidate index value. The route selection unit 23 preferentially selects a driving route having a shorter mileage of the car 6 until the designated candidate passes through the sensitive range of any of the pulleys.
  • the route selection unit 23 designates the candidate.
  • the route selection unit 23 calculates the mileage of the car 6 until the candidate portion passes through the sensitive range for each of the plurality of pulleys.
  • the driving route having the shortest mileage of the car 6 is a driving route in which the candidate portion passes through the felt range of the second car side pulley 13b by lowering the car 6 as shown in FIG. Therefore, the route selection unit 23 preferentially selects the operation route.
  • the route selection unit 23 selects the operation route when it is not affected by other selection conditions or operational restrictions, for example.
  • the site estimation unit 20 estimates the site where the abnormality has occurred.
  • FIG. 8 is a flowchart showing an example of the operation of the information collection system according to the first embodiment.
  • step S1 when the abnormality detecting unit 18 detects an abnormality in the main rope 5, the operation of the information collecting system 15 proceeds to step S2. On the other hand, when the abnormality detecting unit 18 does not detect the abnormality of the main rope 5, the operation of the information collecting system 15 proceeds to step S1 again.
  • step S2 the candidate extraction unit 19 extracts candidates for the portion of the main rope 5 where the abnormality has occurred. After that, the operation of the information collecting system 15 proceeds to step S3.
  • step S3 the part estimation unit 20 narrows down the candidates for the part of the main rope 5 in which the abnormality has occurred. After that, the operation of the information collecting system 15 proceeds to step S4.
  • step S4 when the part estimation unit 20 can estimate the part of the main rope 5 where the abnormality has occurred, the operation of the information collecting system 15 proceeds to step S5. On the other hand, when the part estimation unit 20 cannot estimate the part of the main rope 5 where the abnormality has occurred, the operation of the information collecting system 15 proceeds to step S6.
  • step S5 the notification unit 21 notifies the estimation result by the site estimation unit 20. After that, the operation of the information collection system 15 ends.
  • step S6 the route calculation unit 22 calculates one or more driving routes in which at least one of the plurality of candidates passes through at least one of the feeling ranges of the plurality of pulleys. After that, the operation of the information collecting system 15 proceeds to step S7.
  • step S7 the route selection unit 23 selects an operation route for traveling the car 6 from one or more operation routes calculated by the route calculation unit 22.
  • the route selection unit 23 outputs the selected operation route to the operation control unit 16.
  • the operation control unit 16 drives the car 6 according to the input operation route. After that, the operation of the information collecting system 15 proceeds to step S1.
  • the information collection system 15 includes a storage unit 17, a candidate extraction unit 19, and a route calculation unit 22.
  • the storage unit 17 stores the relationship between the rope portion and the position of the car 6 in the sensation range for each of the plurality of sensation parts.
  • Each of the plurality of sensitive parts is provided for the rope of the elevator 1.
  • the rope of the elevator 1 is a rope that moves when the car 6 of the elevator 1 travels.
  • the plurality of sensitive parts react to the abnormality of the rope in each sensitive range.
  • the candidate extraction unit 19 extracts a rope portion in each of the sensitive ranges of the plurality of sensitive portions as a plurality of candidates for the rope portion in which the abnormality has occurred. ..
  • the parts of the rope within the sensation range of each of the plurality of sensational portions are derived based on the position of the car 6 and the relationship memorized by the memorizing portion 17.
  • the route calculation unit 22 calculates one or more driving routes in which at least one of the plurality of candidates passes through at least one of the feeling ranges of the plurality of feeling parts.
  • the operation route calculated by the route calculation unit 22 is an operation route in which the reproducibility of the above detection can be confirmed by passing the abnormal part through the sensation range of the sensation part. Therefore, one or more operation routes calculated by the route calculation unit 22 are operation routes for collecting information used for estimating the portion where the abnormality has occurred in the rope. Therefore, by running the car 6 on any of the driving routes calculated by the route calculation unit 22, information used for estimating the portion where the abnormality has occurred in the rope is collected. When the route calculation unit 22 can calculate only one operation route, the route calculation unit 22 may output the calculated operation route to the operation control unit 16.
  • the route calculation unit 22 outputs to the operation control unit 16 an operation route first calculated as an operation route in which at least one of the plurality of candidates passes through at least one of the feeling ranges of the plurality of feeling units. May be good.
  • the route calculation unit 22 may output the calculated plurality of operation routes to the operation control unit 16. At this time, the operation control unit 16 may select an operation route for actually traveling the car 6 from the plurality of input operation routes.
  • the information collection system 15 includes a route selection unit 23.
  • the route selection unit 23 selects an operation route for traveling the car 6 from one or more operation routes calculated by the route calculation unit 22, whereby the operation route is based on the selection criteria set in the route selection unit 23. Is automatically selected. Therefore, the information used for estimating the abnormal site is efficiently collected.
  • the route selection unit 23 may select the operation route.
  • the route selection unit 23 selects an operation route for stopping the car 6 on the floor when a call to stop is registered on any of the plurality of floors.
  • an abnormality such as a breakage of a wire generated in a rope may become difficult to detect with the passage of time due to, for example, dropping or deformation of the broken portion. Therefore, when an abnormality is detected, it is preferable that the site of the abnormality is promptly estimated.
  • Elevator 1 is operated according to the request of.
  • the route selection unit 23 operates so that the car 6 does not travel in the direction away from the floor until the car 6 stops on the floor. Select a route. As a result, the car 6 does not pass through the floor that is stopped by the call, so that the convenience of the user is unlikely to decrease. Further, even when the position of the car 6 is displayed to the user, it is unlikely to cause discomfort to the user.
  • the candidate extraction unit 19 calculates the candidate index value for each of the plurality of candidates.
  • the candidate index value is a value indicating the potential as a candidate for the part of the rope where the abnormality has occurred.
  • the route selection unit 23 selects an operation route based on the candidate index value. As a result, the route selection unit 23 can select an operation route that can confirm the reproducibility of more promising candidates. Therefore, information is collected so that the candidates can be narrowed down more efficiently.
  • the candidate extraction unit 19 calculates a candidate index value according to the region of each of the plurality of candidates for each of the plurality of candidates extracted when an abnormality of the rope is detected.
  • the likelihood of anomalies may vary depending on the area of the rope. In this case, information is collected so that candidates can be narrowed down more efficiently based on known information about the possibility of anomalies occurring.
  • a candidate is specified from a plurality of candidates based on the candidate index value.
  • the route selection unit 23 preferentially selects a driving route in which the mileage of the car 6 until the designated candidate passes through one of the feeling ranges of the plurality of feeling parts is shorter.
  • the route selection unit 23 can select an operation route that can confirm the reproducibility of more promising candidates more quickly. Therefore, information is collected so that the candidates can be narrowed down more efficiently.
  • the route selection unit 23 does not have to specify the candidate.
  • the site estimation unit 20 outputs a notification including the designation of the candidate to the route selection unit 23 or the like when a promising candidate can be specified, although the site estimation unit 20 does not estimate the abnormal site in the narrowing down of the candidates. You may.
  • the route selection unit 23 may select an operation route for traveling the car 6 in a direction away from the floor when a call to stop is registered on any of the plurality of floors.
  • the selected operation route is, for example, after the car 6 has passed through the floor without stopping, the floor difference from the floor is returned to the floor within a preset number of floors.
  • This is an operation route or the like in which the car 6 stops on the floor.
  • the preset number of floors is, for example, the first floor.
  • the route selected by the route selection unit 23 is, for example, raising the car 6 on the 3rd floor and stopping it on the 5th floor, lowering the car 6 on the 5th floor without opening and closing the car door, and stopping on the 4th floor.
  • a driving route in which a candidate with a high candidate index value passes through the sensitive range of any of the pulleys is a driving route that lowers the car 6 from the 3rd floor to the 1st floor, or raises the car 6 from the 3rd floor to the 5th floor.
  • the route selection unit 23 selects the driving route for traveling the car 6 in the order of the 3rd floor to the 5th floor and the 4th floor, so that the user's convenience is not significantly impaired and the abnormal portion is present. It is possible to collect information promptly for the estimation of. In this way, the route selection unit 23 can select an operation route that balances the convenience of the user and the prompt information collection according to the situation of the elevator 1.
  • the route selection unit 23 may calculate a route index value for each of the calculated one or more operation routes.
  • the route index value is a value representing the characteristics of the driving route.
  • the route selection unit 23 selects an operation route based on the route index value.
  • the route selection unit 23 may calculate, for example, a predicted value of the waiting time of the user of the elevator 1 when one of the calculated driving routes is driven into the car 6 as a route index value of the driving route. At this time, the route selection unit 23 preferentially selects an operation route having a smaller route index value. As a result, the driving route is automatically selected according to the selection criteria based on the characteristics of the driving route.
  • the driving route that suppresses the deterioration of the convenience of the user is automatically selected.
  • the predicted value of the waiting time of the user is calculated based on, for example, a registered call. Further, when there are a plurality of users, the predicted value of the waiting time of the users may be an average value, a total value, a maximum value, or the like for the plurality of users.
  • the route index value may be an index that can be calculated according to the mileage of the car 6 or the driving route such as energy consumption.
  • the route index value may be a value calculated by combining a plurality of indexes.
  • the candidate extraction unit 19 may associate information on the traveling direction of the car 6 when the candidate is extracted with each of the plurality of candidates.
  • the route selection unit 23 selects the driving route based on the travel direction information associated with each of the plurality of candidates. For example, when an abnormality is detected while the car 6 is raised, the candidate extraction unit 19 may preferentially select an operation route for raising the car 6.
  • the susceptibility of the sensitive portion to the abnormality of the rope may differ depending on the traveling direction of the car 6, for example, depending on the direction in which the broken wire is deformed. Even in such a case, the route selection unit 23 can select an operation route that makes it easier to confirm the reproducibility of abnormality detection.
  • the route selection unit 23 may specify a condition for starting the traveling of the car 6 on the selected driving route.
  • the route selection unit 23 may output the operation route to the operation control unit 16 including the designation of the start time as a start condition, for example.
  • the route selection unit 23 may specify a start time after the busy time zone.
  • the congestion time zone may be a preset time zone.
  • the route selection unit 23 may specify, for example, that there is no registered call as a start condition.
  • the route selection unit 23 may select an operation route according to a standard that combines a plurality of selection criteria. For example, the route selection unit 23 calculates a plurality of priorities based on a plurality of selection criteria for each operation route, and selects an operation route according to the total priority obtained from the calculated plurality of priorities. You may.
  • the overall priority is, for example, the sum of a plurality of priorities, a weighted sum, or a maximum value.
  • the route selection unit 23 may switch a plurality of selection criteria according to conditions such as a call registration status or a time zone.
  • the position where the car 6 stops in the operation route calculated by the route calculation unit 22 may be a position between adjacent floors.
  • the operation control unit 16 does not open or close the car door when the car 6 stops at a position between the floors.
  • the route selection unit 23 may exclude the driving route in which the car 6 stops at a position between the floors when the user is in the car 6 from the selection target.
  • a part of the information collection system 15 such as the storage unit 17, the abnormality detection unit 18, the candidate extraction unit 19, the part estimation unit 20, the notification unit 21, the route calculation unit 22, the route selection unit 23, and the operation control unit 16 or All may be installed as a single hardware feature.
  • a part or all of the information collecting system 15 such as the operation control unit 16 may be installed as a function of individual hardware.
  • a part or all of the information collecting system 15 such as the operation control unit 16 may be provided in, for example, a server device provided in a remote place of a building to which the elevator 1 is applied.
  • the roping of the main rope 5 does not have to be exemplified in FIG. 1 and the like.
  • the roping of the main rope 5 may be, for example, 1: 1 roping.
  • the rope of the elevator 1 does not have to be the main rope 5.
  • the rope of the elevator 1 may be, for example, a balancing rope or a speed governor rope.
  • the abnormality detection unit 18 may detect an abnormality in the rope regardless of the torque value of the motor 12 of the hoisting machine 4.
  • the abnormality detection unit 18 may be, for example, a portion that detects an abnormality by the sound or vibration of a portion of the rope having an abnormality colliding with a pulley.
  • the sensitive portion that reacts to the abnormality does not have to be the pulley of the elevator 1.
  • the sensitive portion may be, for example, a contact sensor that does not output information that identifies each sensitive portion, a non-contact proximity sensor, or the like.
  • FIG. 9 is a hardware configuration diagram of a main part of the information collection system according to the first embodiment.
  • Each function of the information collection system 15 can be realized by a processing circuit.
  • the processing circuit includes at least one processor 15b and at least one memory 15c.
  • the processing circuit may include at least one dedicated hardware 15a with or as a substitute for the processor 15b and the memory 15c.
  • each function of the information collection system 15 is realized by software, firmware, or a combination of software and firmware. At least one of the software and firmware is written as a program. The program is stored in the memory 15c. The processor 15b realizes each function of the information collection system 15 by reading and executing the program stored in the memory 15c.
  • the processor 15b is also referred to as a CPU (Central Processing Unit), a processing device, an arithmetic unit, a microprocessor, a microcomputer, and a DSP.
  • the memory 15c is composed of, for example, a non-volatile or volatile semiconductor memory such as a RAM, a ROM, a flash memory, an EPROM, or an EEPROM, a magnetic disk, a flexible disk, an optical disk, a compact disk, a mini disk, a DVD, or the like.
  • the processing circuit is provided with dedicated hardware 15a, the processing circuit is realized by, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination thereof.
  • Each function of the information collection system 15 can be realized by a processing circuit. Alternatively, each function of the information collection system 15 can be collectively realized by a processing circuit. For each function of the information collection system 15, a part may be realized by the dedicated hardware 15a, and the other part may be realized by software or firmware. As described above, the processing circuit realizes each function of the information collection system 15 by the dedicated hardware 15a, software, firmware, or a combination thereof.
  • the information collection system related to this disclosure can be applied to elevators.

Abstract

Provided is an information collection system that is suitable for collecting information used for inferring a portion of a rope in which an abnormality has occurred. An information collection system (15) is provided with a storage unit (17), a candidate extraction unit (19), and a path calculation unit (22). The storage unit (17) stores, for each of a plurality of sense units, a positional relationship between a cage (6) and a portion of a rope present within the sensibility range. The plurality of sense units provided to the rope react to an abnormality of the rope present in a plurality of the sensibility ranges. When an abnormality of the rope is detected, the candidate extraction unit (19) extracts portions of the rope present in the sensibility ranges of the plurality of sense units as a plurality of candidates of the portions to which the abnormality has occurred, by using the relationships stored in the storage unit (17). The path calculation unit (22) calculates at least one operation path in which at least one of the plurality of candidates passes at least one of the sensibility ranges of the plurality of sense units.

Description

エレベーターの情報収集システムElevator information gathering system
 本開示は、エレベーターの情報収集システムに関する。 This disclosure relates to an elevator information collection system.
 特許文献1は、エレベーターのロープ監視装置の例を開示する。ロープ監視装置は、ロープの衝突を検出した衝突検出センサーが設けられる滑車とロープの部位との関係に基づいて、ロープにおける変形が発生した部位を推定する。 Patent Document 1 discloses an example of an elevator rope monitoring device. The rope monitoring device estimates the portion of the rope where the deformation has occurred, based on the relationship between the pulley and the portion of the rope provided with the collision detection sensor that detects the collision of the rope.
国際公開第2018/008080号International Publication No. 2018/008080
 しかしながら、特許文献1は、ロープの変形などの異常を検知するときのエレベーターの運転の制御を開示しない。異常が発生した部位の推定に用いられる情報を収集するために利用者の呼びを無視する運転を行う場合に、待ち時間が長くなることなどによって利用者の利便性が低下する可能性がある。一方、利用者の呼びに応じる通常運転を行う場合に、呼びの状況によっては異常が発生した部位の推定に用いられる情報が収集されない可能性がある。 However, Patent Document 1 does not disclose control of elevator operation when detecting an abnormality such as deformation of a rope. When performing an operation that ignores the user's call in order to collect information used for estimating the part where the abnormality has occurred, the user's convenience may be reduced due to a long waiting time or the like. On the other hand, when performing normal operation in response to a user's call, there is a possibility that the information used for estimating the part where the abnormality has occurred may not be collected depending on the call situation.
 本開示は、このような課題の解決に係るものである。本開示は、ロープにおいて異常が発生した部位の推定に用いられる情報の収集に適した運転経路を算出できる情報収集システムを提供する。 This disclosure relates to the solution of such problems. The present disclosure provides an information collection system capable of calculating an operation route suitable for collecting information used for estimating a site where an abnormality has occurred in a rope.
 本開示に係るエレベーターの情報収集システムは、エレベーターのかごが走行するときに移動するエレベーターのロープに対して設けられ各々の有感範囲にあるロープの異常に対して反応する複数の有感部の各々について、有感範囲にあるロープの部位およびかごの位置の間の関係を記憶する記憶部と、ロープの異常が検知されるときに、かごの位置および記憶部が記憶している関係に基づいて導かれる複数の有感部の各々の有感範囲にあるロープの部位を、当該異常が発生したロープの部位についての複数の候補として抽出する候補抽出部と、複数の候補の少なくともいずれかが複数の有感部の少なくともいずれかの有感範囲を通る1つ以上の運転経路を算出する経路算出部と、を備える。 The elevator information gathering system according to the present disclosure is provided for the rope of the elevator that moves when the car of the elevator travels, and has a plurality of sensitive parts that react to abnormalities of the rope in each sensitive range. For each, it is based on a storage unit that stores the relationship between the rope part and the position of the car in the sensitive range, and the relationship that the car position and the storage unit store when an abnormality in the rope is detected. A candidate extraction unit that extracts a rope part in each of the feeling ranges of the plurality of feeling parts guided by the method as a plurality of candidates for the part of the rope in which the abnormality has occurred, or at least one of the plurality of candidates. A route calculation unit for calculating one or more operation routes passing through at least one of the feeling ranges of the plurality of feeling units is provided.
 本開示に係る情報収集システムであれば、ロープにおいて異常が発生した部位の推定に用いられる情報の収集に適した運転経路を算出できる。 With the information collection system according to the present disclosure, it is possible to calculate an operation route suitable for collecting information used for estimating the part where an abnormality has occurred in the rope.
実施の形態1に係るエレベーターの構成図である。It is a block diagram of the elevator which concerns on Embodiment 1. FIG. 実施の形態1に係る情報収集システムの構成図である。It is a block diagram of the information gathering system which concerns on Embodiment 1. FIG. 実施の形態1に係る情報収集システムの異常が発生した部位の候補の抽出の例を示す図である。It is a figure which shows the example of the extraction of the candidate of the part where the abnormality occurred of the information gathering system which concerns on Embodiment 1. FIG. 実施の形態1に係る情報収集システムの異常が発生した部位の候補の抽出の例を示す図である。It is a figure which shows the example of the extraction of the candidate of the part where the abnormality occurred of the information gathering system which concerns on Embodiment 1. FIG. 実施の形態1に係る情報収集システムの情報収集の例を示す図である。It is a figure which shows the example of the information gathering of the information gathering system which concerns on Embodiment 1. FIG. 実施の形態1に係る情報収集システムの情報収集の例を示す図である。It is a figure which shows the example of the information gathering of the information gathering system which concerns on Embodiment 1. FIG. 実施の形態1に係る情報収集システムの情報収集の例を示す図である。It is a figure which shows the example of the information gathering of the information gathering system which concerns on Embodiment 1. FIG. 実施の形態1に係る情報収集システムの動作の例を示すフローチャートである。It is a flowchart which shows the example of the operation of the information gathering system which concerns on Embodiment 1. FIG. 実施の形態1に係る情報収集システムの主要部のハードウェア構成図である。It is a hardware block diagram of the main part of the information gathering system which concerns on Embodiment 1. FIG.
 本開示の実施の形態について添付の図面を参照しながら説明する。各図において、同一または相当する部分には同一の符号を付して、重複する説明は適宜に簡略化または省略する。 The embodiment of the present disclosure will be described with reference to the attached drawings. In each figure, the same or corresponding parts are designated by the same reference numerals, and duplicate description will be appropriately simplified or omitted.
 実施の形態1.
 図1は、実施の形態1に係るエレベーターの構成図である。
Embodiment 1.
FIG. 1 is a configuration diagram of an elevator according to the first embodiment.
 エレベーター1は、建築物に適用される。建築物は、複数の階床を有する。建築物において、複数の階床にわたる昇降路2が設けられる。昇降路2は、鉛直方向に長い空間である。複数の階床の各々において、乗場3が設けられる。乗場3において、図示されない乗場ドアが設けられる。乗場ドアは、乗場3および昇降路2を区画するドアである。 Elevator 1 is applied to buildings. The building has multiple floors. In the building, a hoistway 2 is provided over a plurality of floors. The hoistway 2 is a space that is long in the vertical direction. A landing 3 is provided on each of the plurality of floors. At the landing 3, a landing door (not shown) is provided. The landing door is a door that separates the landing 3 and the hoistway 2.
 エレベーター1は、巻上機4と、主ロープ5と、かご6と、釣合い錘7と、かご側定滑車8と、錘側定滑車9と、制御盤10と、を備える。 The elevator 1 includes a hoisting machine 4, a main rope 5, a car 6, a counterweight 7, a car-side fixed pulley 8, a weight-side fixed pulley 9, and a control panel 10.
 巻上機4は、例えば昇降路2の上部または下部などに設けられる。あるいは、建築物において機械室が設けられる場合に、巻上機4は、機械室に設けられてもよい。巻上機4は、シーブ11およびモーター12を有する。巻上機4のシーブ11は、巻上機4のモーター12の回転軸に接続される。巻上機4のシーブ11は、エレベーター1の滑車の例である。巻上機4のモーター12は、巻上機4のシーブ11を回転させる駆動力を発生させる機器である。 The hoisting machine 4 is provided, for example, at the upper part or the lower part of the hoistway 2. Alternatively, when the machine room is provided in the building, the hoisting machine 4 may be provided in the machine room. The hoisting machine 4 has a sheave 11 and a motor 12. The sheave 11 of the hoisting machine 4 is connected to the rotating shaft of the motor 12 of the hoisting machine 4. The sheave 11 of the hoisting machine 4 is an example of the pulley of the elevator 1. The motor 12 of the hoisting machine 4 is a device that generates a driving force for rotating the sheave 11 of the hoisting machine 4.
 主ロープ5は、巻上機4のシーブ11に巻き掛けられる。主ロープ5は、エレベーター1のロープの例である。主ロープ5の両端部は、昇降路2において固定される。 The main rope 5 is wound around the sheave 11 of the hoisting machine 4. The main rope 5 is an example of the rope of the elevator 1. Both ends of the main rope 5 are fixed in the hoistway 2.
 昇降路2において、かご6は、巻上機4のシーブ11の一方の側で主ロープ5によって吊られる。昇降路2において、釣合い錘7は、巻上機4のシーブ11の他方の側で主ロープ5によって吊られる。かご6は、昇降路2の内部を鉛直方向に走行することで利用者などを複数の階床の間で輸送する機器である。かご6は、図示されないかごドアを備える。かごドアは、いずれかの階床にかご6が停止しているときに、エレベーター1の利用者がかご6に乗降しうるように開閉する機器である。かご6が停止している階床の乗場ドアは、かごドアに連動して開閉する。釣合い錘7は、複数の主ロープ5を通じて巻上機4のシーブ11にかかる荷重の釣合いをかご6との間でとる機器である。かご6および釣合い錘7は、巻上機4のシーブ11の回転によって主ロープ5が移動することで、昇降路2において互いに反対方向に走行する。すなわち、主ロープ5は、かご6が走行するときに、例えば巻上機4のシーブ11などのエレベーター1の滑車に対して移動する。 In the hoistway 2, the car 6 is suspended by the main rope 5 on one side of the sheave 11 of the hoisting machine 4. In the hoistway 2, the counterweight 7 is suspended by the main rope 5 on the other side of the sheave 11 of the hoist 4. The car 6 is a device that transports a user or the like between a plurality of floors by traveling vertically inside the hoistway 2. The car 6 includes a car door (not shown). The car door is a device that opens and closes so that the user of the elevator 1 can get on and off the car 6 when the car 6 is stopped on any floor. The landing door on the floor where the car 6 is stopped opens and closes in conjunction with the car door. The counterweight 7 is a device that balances the load applied to the sheave 11 of the hoisting machine 4 with the car 6 through the plurality of main ropes 5. The car 6 and the counterweight 7 travel in opposite directions on the hoistway 2 due to the movement of the main rope 5 by the rotation of the sheave 11 of the hoisting machine 4. That is, when the car 6 travels, the main rope 5 moves with respect to the pulley of the elevator 1 such as the sheave 11 of the hoisting machine 4.
 かご側定滑車8は、巻上機4のシーブ11およびかご6の間において主ロープ5が巻き掛けられる滑車である。錘側定滑車9は、巻上機4のシーブ11および釣合い錘7の間において主ロープ5が巻き掛けられる滑車である。かご側定滑車8および錘側定滑車9の各々は、昇降路2において鉛直方向に移動しないように配置される。かご側定滑車8および錘側定滑車9の各々は、エレベーター1の滑車の例である。 The car-side fixed pulley 8 is a pulley on which the main rope 5 is wound between the sheave 11 and the car 6 of the hoisting machine 4. The weight-side constant pulley 9 is a pulley on which the main rope 5 is wound between the sheave 11 and the counterweight 7 of the hoisting machine 4. Each of the car-side fixed pulley 8 and the weight-side fixed pulley 9 is arranged so as not to move in the vertical direction on the hoistway 2. Each of the car-side fixed pulley 8 and the weight-side fixed pulley 9 is an example of the pulley of the elevator 1.
 制御盤10は、エレベーター1の動作を制御する部分である。エレベーター1の動作は、かご6の走行などのエレベーター1の運転を含む。 The control panel 10 is a part that controls the operation of the elevator 1. The operation of the elevator 1 includes the operation of the elevator 1 such as the running of the car 6.
 かご6は、第1かご側動滑車13aと、第2かご側動滑車13bと、を備える。第1かご側動滑車13aおよび第2かご側動滑車13bの各々は、かご6の走行に伴って昇降路2を鉛直方向に移動する。第1かご側動滑車13aおよび第2かご側動滑車13bの各々は、例えばかご6の下部に設けられる。第1かご側動滑車13aおよび第2かご側動滑車13bの各々は、主ロープ5が巻き掛けられる滑車である。第1かご側動滑車13aおよび第2かご側動滑車13bの各々は、エレベーター1の滑車の例である。 The car 6 includes a first car side moving pulley 13a and a second car side moving pulley 13b. Each of the first car side moving pulley 13a and the second car side moving pulley 13b moves in the hoistway 2 in the vertical direction as the car 6 travels. Each of the first car side moving pulley 13a and the second car side moving pulley 13b is provided, for example, at the lower part of the car 6. Each of the first car side moving pulley 13a and the second car side moving pulley 13b is a pulley around which the main rope 5 is wound. Each of the first car side moving pulley 13a and the second car side moving pulley 13b is an example of the pulley of the elevator 1.
 釣合い錘7は、錘側動滑車14を備える。錘側動滑車14は、釣合い錘7の走行に伴って昇降路2を鉛直方向に移動する。錘側動滑車14は、例えば釣合い錘7の上部に設けられる。錘側動滑車14は、主ロープ5が巻き掛けられる滑車である。錘側動滑車14は、エレベーター1の滑車の例である。 The balancing weight 7 includes a weight-side moving pulley 14. The weight-side moving pulley 14 moves in the hoistway 2 in the vertical direction as the counterweight 7 travels. The weight-side moving pulley 14 is provided, for example, on the upper portion of the counterweight 7. The weight-side moving pulley 14 is a pulley around which the main rope 5 is wound. The weight-side moving pulley 14 is an example of the pulley of the elevator 1.
 エレベーター1のロープは、かご6が走行するときに移動するロープである。エレベーター1の滑車は、エレベーター1のロープが巻き掛けられる滑車である。この例において、エレベーター1のロープの例である主ロープ5は、錘側動滑車14、錘側定滑車9、巻上機4のシーブ11、かご側定滑車8、第1かご側動滑車13a、および第2かご側動滑車13bの順に巻き掛けられる。 The rope of the elevator 1 is a rope that moves when the car 6 travels. The pulley of the elevator 1 is a pulley around which the rope of the elevator 1 is wound. In this example, the main rope 5, which is an example of the rope of the elevator 1, is a weight-side moving pulley 14, a weight-side fixed pulley 9, a sheave 11 of the hoisting machine 4, a car-side fixed pulley 8, and a first car-side moving pulley 13a. , And the second car side moving pulley 13b are wound in this order.
 ここで、エレベーター1のロープにおいて、異常が発生することがある。エレベーター1のロープに発生する異常は、例えばエレベーター1のロープの素線の破断などである。破断した素線などは、例えばエレベーター1の滑車の外れ止めなどに衝突することがある。このとき、衝突に伴う抵抗の増加などによって巻上機4のモーター12のトルク値に変動が生じうる。このため、例えば巻上機4のモーター12のトルク値の変動を監視することなどによって、エレベーター1のロープの異常が検知される。エレベーター1は、エレベーター1のロープの異常に対して反応する複数の有感部を有している。各々の有感部について、有感範囲が対応する。各々の有感部は、対応する有感範囲にあるエレベーター1のロープの異常に対して反応する部分である。有感部は、エレベーターのロープに対して設けられる。有感部は、例えば、滑車または滑車の外れ止めなどである。有感部が外れ止めを有する滑車または当該滑車の外れ止めである場合に、ロープの異常に対する反応は、滑車の外れ止めに破断した素線が衝突することによるロープの抵抗の増加などである。エレベーター1のロープに発生する異常は、有感部が反応したことにより変化する抵抗またはトルク値などの物理量を通じて検知される。有感範囲は、例えば当該有感範囲に対応する有感部を含む空間的な範囲である。また、有感部が滑車である場合、有感範囲は、例えばエレベーター1のロープの全長のうち当該滑車に巻き掛けられている部分を含む範囲である。あるいは、有感部が滑車の外れ止めである場合、有感範囲は、エレベーター1のロープの全長のうち当該滑車に巻きかけられる部分を含み、かつ、外れ止めを含む範囲である。 Here, an abnormality may occur in the rope of elevator 1. The abnormality that occurs in the rope of the elevator 1 is, for example, the breakage of the wire of the rope of the elevator 1. The broken wire may collide with, for example, the stopper of the pulley of the elevator 1. At this time, the torque value of the motor 12 of the hoisting machine 4 may fluctuate due to an increase in resistance due to a collision or the like. Therefore, for example, by monitoring the fluctuation of the torque value of the motor 12 of the hoisting machine 4, an abnormality of the rope of the elevator 1 is detected. The elevator 1 has a plurality of sensitive parts that react to an abnormality in the rope of the elevator 1. The sensation range corresponds to each sensational part. Each sensational portion is a portion that reacts to an abnormality in the rope of the elevator 1 in the corresponding sensational range. The sensitive part is provided for the rope of the elevator. The sensitive portion is, for example, a pulley or a pulley stopper. When the sensitive portion is a pulley having a stopper or a stopper of the pulley, the reaction to the abnormality of the rope is an increase in the resistance of the rope due to the collision of the broken wire with the pulley's stopper. The abnormality generated in the rope of the elevator 1 is detected through a physical quantity such as a resistance or a torque value that changes due to the reaction of the sensitive portion. The sensible range is, for example, a spatial range including a sensible portion corresponding to the sensible range. When the felt portion is a pulley, the felt range is, for example, the range including the portion of the total length of the rope of the elevator 1 that is wound around the pulley. Alternatively, when the sensation portion is a stopper for the pulley, the sensation range includes the portion of the total length of the rope of the elevator 1 that is wound around the pulley and includes the stopper.
 一方、エレベーター1において有感部が複数設けられる場合に、ロープの異常が検知されたときに、複数の有感部のいずれによってロープの異常が検知されたかが識別されない。異常に対して反応した有感部の有感範囲は、ロープにおいて当該異常が発生した部位に対応する。このため、異常に対して反応した有感部が識別されない場合に、当該異常のロープにおける部位を推定するための情報の収集が必要となる。ここで、ロープに発生した異常は、ロープとともに移動する。このため、かご6の位置に応じて他の有感部も当該異常に対して反応しうる。異常が検知されたときのかご6の位置と複数の有感部の各々の有感範囲にあるロープの部位とを関連付けることによって、当該異常が発生した部位の推定に用いられる情報を得ることができる。すなわち、適切な方法でかご6を走行させることによって、ロープにおいて異常が発生した部位の推定に用いられる情報が収集される。このため、異常が発生したロープの部位を推定する情報を収集しうるように、情報収集システム15がエレベーター1に適用される。 On the other hand, when a plurality of felt parts are provided in the elevator 1, when an abnormality of the rope is detected, it is not possible to identify which of the plurality of felt parts has detected the abnormality of the rope. The sensation range of the sensation part that responded to the abnormality corresponds to the part of the rope where the abnormality occurred. Therefore, when the sensitive part that has reacted to the abnormality is not identified, it is necessary to collect information for estimating the part of the rope of the abnormality. Here, the abnormality generated in the rope moves together with the rope. Therefore, other sensitive parts may react to the abnormality depending on the position of the car 6. By associating the position of the car 6 when the abnormality is detected with the part of the rope in each of the feeling ranges of the plurality of feeling parts, it is possible to obtain the information used for estimating the part where the abnormality has occurred. can. That is, by running the car 6 in an appropriate manner, information used for estimating the portion where the abnormality has occurred in the rope is collected. Therefore, the information collecting system 15 is applied to the elevator 1 so that the information for estimating the portion of the rope where the abnormality has occurred can be collected.
 図2は、実施の形態1に係る情報収集システム15の構成図である。 FIG. 2 is a configuration diagram of the information collection system 15 according to the first embodiment.
 情報収集システム15は、運転制御部16と、記憶部17と、異常検知部18と、候補抽出部19と、部位推定部20と、報知部21と、経路算出部22と、経路選択部23と、を備える。 The information collection system 15 includes an operation control unit 16, a storage unit 17, an abnormality detection unit 18, a candidate extraction unit 19, a site estimation unit 20, a notification unit 21, a route calculation unit 22, and a route selection unit 23. And.
 運転制御部16は、エレベーター1の運転を制御する部分である。運転制御部16は、例えば制御盤10に設けられる。エレベーター1の運転は、例えばかご6の走行、かごドアの開閉、および呼びの登録などを含む。 The operation control unit 16 is a part that controls the operation of the elevator 1. The operation control unit 16 is provided on, for example, the control panel 10. The operation of the elevator 1 includes, for example, running the car 6, opening and closing the car door, and registering a call.
 記憶部17は、有感部の情報を記憶する部分である。この例において、記憶部17は、エレベーター1の滑車の情報を記憶する。記憶部17は、例えば制御盤10に設けられる。ここで、エレベーター1の複数の滑車の各々の有感範囲に入る主ロープ5の部位は、主ロープ5の移動によって変化する。また、エレベーター1のかご6は、主ロープ5の移動によって昇降路2を走行する。このため、エレベーター1の複数の滑車が対応する主ロープ5の部位は、かご6の位置に対応する。一方、滑車の数または複数の滑車の配置などは、エレベーター1の機種などによって異なることがある。このため、記憶部17は、エレベーター1の滑車の情報として、エレベーター1の複数の滑車の各々の有感範囲にある主ロープ5の部位とかご6の位置との関係を記憶する。記憶部17が記憶する関係は、例えばかご6の位置に対してエレベーター1の滑車の有感範囲にある主ロープ5の部位を対応づける関係である。記憶部17は、例えばエレベーター1の滑車の有感範囲にある主ロープ5の部位およびかご6の位置の対応を示すテーブルを記憶していてもよい。あるいは、記憶部17は、例えばエレベーター1の滑車の有感範囲にある主ロープ5の部位をかご6の位置の関数として表す情報を記憶していてもよい。 The storage unit 17 is a portion that stores information of the sensitive unit. In this example, the storage unit 17 stores information on the pulley of the elevator 1. The storage unit 17 is provided in, for example, the control panel 10. Here, the portion of the main rope 5 that falls within the perceived range of each of the plurality of pulleys of the elevator 1 changes depending on the movement of the main rope 5. Further, the car 6 of the elevator 1 travels on the hoistway 2 by the movement of the main rope 5. Therefore, the portion of the main rope 5 corresponding to the plurality of pulleys of the elevator 1 corresponds to the position of the car 6. On the other hand, the number of pulleys or the arrangement of a plurality of pulleys may differ depending on the model of the elevator 1. Therefore, the storage unit 17 stores the relationship between the portion of the main rope 5 and the position of the car 6 in the perceived range of each of the plurality of pulleys of the elevator 1 as the information of the pulleys of the elevator 1. The relationship stored by the storage unit 17 is, for example, a relationship in which the portion of the main rope 5 in the sensation range of the pulley of the elevator 1 is associated with the position of the car 6. The storage unit 17 may store, for example, a table showing the correspondence between the portion of the main rope 5 and the position of the car 6 in the felt range of the pulley of the elevator 1. Alternatively, the storage unit 17 may store information representing, for example, a portion of the main rope 5 in the felt range of the pulley of the elevator 1 as a function of the position of the car 6.
 異常検知部18は、有感部の反応によってエレベーター1のロープの異常を検知する部分である。この例において、異常検知部18は、有感部の例であるエレベーター1の滑車の外れ止めを通じて、例えば次のように主ロープ5の異常を検知する。主ロープ5に発生した異常の部分が外れ止めに衝突するときに、主ロープ5の抵抗が増加する。主ロープ5の抵抗が増加したことによるモーター12のトルク値の変動を、図示されないトルクセンサーが検知する。異常検知部18は、トルクセンサーからの検知信号を受信することで、主ロープ5の異常を検知する。異常検知部18は、例えば巻上機4のモーター12に設けられる。異常検知部18は、制御盤10に設けられてもよい。異常検知部18は、異常を検知するときに、例えば候補抽出部19に通知を行う。 The abnormality detection unit 18 is a portion that detects an abnormality in the rope of the elevator 1 by the reaction of the sensitive unit. In this example, the abnormality detection unit 18 detects the abnormality of the main rope 5 as follows, for example, through the stopper of the pulley of the elevator 1 which is an example of the sensitive unit. The resistance of the main rope 5 increases when the abnormal portion generated in the main rope 5 collides with the stopper. A torque sensor (not shown) detects fluctuations in the torque value of the motor 12 due to an increase in the resistance of the main rope 5. The abnormality detection unit 18 detects an abnormality in the main rope 5 by receiving a detection signal from the torque sensor. The abnormality detection unit 18 is provided, for example, in the motor 12 of the hoisting machine 4. The abnormality detection unit 18 may be provided on the control panel 10. When the abnormality detection unit 18 detects an abnormality, it notifies, for example, the candidate extraction unit 19.
 候補抽出部19は、異常検知部18が異常を検知するときに、複数の有感部の各々の有感範囲にあるエレベーター1のロープの部位を、当該異常が発生したロープの部位についての複数の候補として抽出する部分である。この例において、エレベーター1の滑車の有感範囲にある主ロープ5の部位は、異常が検知されたときのかご6の位置および記憶部17が記憶している関係に基づいて導出される。候補抽出部19は、例えば制御盤10に設けられる。候補抽出部19は、抽出した候補の情報を例えば部位推定部20に出力する。 When the abnormality detection unit 18 detects an abnormality, the candidate extraction unit 19 sets a plurality of rope parts of the elevator 1 in each of the feeling ranges of the plurality of feeling parts with respect to the rope parts where the abnormality has occurred. This is the part to be extracted as a candidate for. In this example, the portion of the main rope 5 in the sensation range of the pulley of the elevator 1 is derived based on the position of the car 6 when the abnormality is detected and the relationship memorized by the storage unit 17. The candidate extraction unit 19 is provided on, for example, the control panel 10. The candidate extraction unit 19 outputs the extracted candidate information to, for example, the site estimation unit 20.
 部位推定部20は、候補抽出部19が抽出した候補から、エレベーター1のロープにおいて異常が発生した部位を推定する部分である。部位推定部20は、例えば制御盤10に設けられる。部位推定部20は、異常が発生した部位を推定できたときに、報知部21に推定結果を出力する。一方、部位推定部20は、異常が発生した部位を推定できなかったときに、経路算出部22に通知を行う。 The part estimation unit 20 is a part that estimates a part where an abnormality has occurred in the rope of the elevator 1 from the candidates extracted by the candidate extraction unit 19. The site estimation unit 20 is provided on, for example, the control panel 10. When the site estimation unit 20 can estimate the site where the abnormality has occurred, the site estimation unit 20 outputs the estimation result to the notification unit 21. On the other hand, the site estimation unit 20 notifies the route calculation unit 22 when the site where the abnormality has occurred cannot be estimated.
 報知部21は、エレベーター1に発生した異常などの報知を行う部分である。報知部21は、例えばエレベーター1の管理者または情報センターなどに報知を行う。情報センターは、エレベーター1の情報を収集する拠点である。報知部21は、例えば制御盤10に設けられる。 The notification unit 21 is a part that notifies an abnormality or the like that has occurred in the elevator 1. The notification unit 21 notifies, for example, the administrator of the elevator 1 or the information center. The information center is a base for collecting information on the elevator 1. The notification unit 21 is provided on, for example, the control panel 10.
 経路算出部22は、エレベーター1のロープにおいて異常が発生した部位の推定に用いられる情報を収集する運転経路を算出する部分である。運転経路は、例えばかご6が走行する経路である。運転経路は、例えば昇降路2においてかご6が停止する1つ以上の位置のシーケンスである。昇降路2においてかご6が停止する位置は、例えば複数の階床のいずれかである。経路算出部22は、例えば制御盤10に設けられる。経路算出部22は、例えば部位推定部20からの通知を受けるときに運転経路を算出する。経路算出部22は、候補抽出部19が抽出した候補の情報に基づいて1つ以上の運転経路を算出する。経路算出部22は、算出した運転経路を例えば経路選択部23に出力する。 The route calculation unit 22 is a part that calculates an operation route for collecting information used for estimating a part where an abnormality has occurred in the rope of the elevator 1. The driving route is, for example, a route on which the car 6 travels. The driving path is, for example, a sequence of one or more positions where the car 6 stops in the hoistway 2. The position where the car 6 stops in the hoistway 2 is, for example, one of a plurality of floors. The route calculation unit 22 is provided on, for example, the control panel 10. The route calculation unit 22 calculates the operation route when receiving a notification from, for example, the part estimation unit 20. The route calculation unit 22 calculates one or more operation routes based on the candidate information extracted by the candidate extraction unit 19. The route calculation unit 22 outputs the calculated operation route to, for example, the route selection unit 23.
 経路選択部23は、経路算出部22が算出した1つ以上の経路から、かご6を実際に走行させる運転経路を1つ選択する部分である。経路算出部22は、例えば制御盤10に設けられる。経路選択部23は、候補抽出部19が抽出した候補の情報を例えば経路算出部22を通じて取得してもよい。経路選択部23は、取得した候補の情報などに基づいて運転経路を選択する。経路選択部23は、選択した運転経路を運転制御部16に出力する。 The route selection unit 23 is a part that selects one driving route for actually traveling the car 6 from one or more routes calculated by the route calculation unit 22. The route calculation unit 22 is provided on, for example, the control panel 10. The route selection unit 23 may acquire the candidate information extracted by the candidate extraction unit 19 through, for example, the route calculation unit 22. The route selection unit 23 selects an operation route based on the acquired candidate information and the like. The route selection unit 23 outputs the selected operation route to the operation control unit 16.
 続いて、図3および図4を用いて、情報収集システム15による候補の抽出の例を説明する。
 図3および図4は、実施の形態1に係る情報収集システムの異常が発生した部位の候補の抽出の例を示す図である。
Subsequently, an example of extracting candidates by the information collection system 15 will be described with reference to FIGS. 3 and 4.
3 and 4 are diagrams showing an example of extracting candidates for a site where an abnormality has occurred in the information collection system according to the first embodiment.
 図3において、1回目に異常が検知されたときに抽出される候補の例が示される。この例において、図3に示される状況より前に異常は検知されていない。
 図3において、主ロープ5において異常が発生した部位はバツ記号で示される。図3において、1回目の検知で抽出される候補は実線の三角記号で示される。
FIG. 3 shows an example of a candidate extracted when an abnormality is detected for the first time. In this example, no anomaly was detected prior to the situation shown in FIG.
In FIG. 3, the portion where the abnormality occurs in the main rope 5 is indicated by a cross symbol. In FIG. 3, the candidates extracted by the first detection are indicated by solid triangle symbols.
 この例において、錘側定滑車9が主ロープ5の異常に対して1回目に反応する。このとき、異常検知部18は、主ロープ5の異常を検知する。候補抽出部19は、現在のかご6の位置と記憶部17が記憶している関係とに基づいて、エレベーター1における複数の滑車の各々の有感範囲にある主ロープ5の部位を複数の候補として抽出する。ここで、複数の候補は、錘側定滑車9の有感範囲にある主ロープ5の部位を含む。一方、複数の候補は他の滑車の有感範囲にある主ロープ5の部位も含むので、この時点において主ロープ5において異常が発生した部位は推定されない。その後、かご6は走行を続ける。 In this example, the weight-side fixed pulley 9 reacts to the abnormality of the main rope 5 for the first time. At this time, the abnormality detection unit 18 detects the abnormality of the main rope 5. The candidate extraction unit 19 selects a plurality of candidates for the main rope 5 in the perceived range of each of the plurality of pulleys in the elevator 1 based on the relationship between the current position of the car 6 and the storage unit 17. Extract as. Here, the plurality of candidates include the portion of the main rope 5 in the felt range of the weight-side fixed pulley 9. On the other hand, since the plurality of candidates include the part of the main rope 5 in the sensitive range of the other pulleys, the part where the abnormality has occurred in the main rope 5 is not estimated at this time. After that, the car 6 continues to run.
 図4において、2回目に異常が検知されたときに抽出される候補の例が示される。
 図4において、主ロープ5における異常が発生した部位はバツ記号で示される。図4において、1回目の検知で抽出される候補は実線の三角記号で示される。図4において、2回目の検知で抽出される候補は破線の三角記号で示される。
FIG. 4 shows an example of a candidate extracted when an abnormality is detected for the second time.
In FIG. 4, the portion of the main rope 5 where the abnormality has occurred is indicated by a cross symbol. In FIG. 4, the candidates extracted by the first detection are indicated by solid triangle symbols. In FIG. 4, the candidates extracted by the second detection are indicated by broken line triangle symbols.
 かご6が走行するときに主ロープ5は移動するので、異常が発生した部位の候補も主ロープ5とともに移動する。また、異常が発生した部位も主ロープ5とともに移動する。 Since the main rope 5 moves when the car 6 travels, the candidate for the part where the abnormality has occurred also moves together with the main rope 5. In addition, the part where the abnormality has occurred also moves together with the main rope 5.
 この例において、錘側動滑車14が主ロープ5の異常に対して2回目に反応する。このとき、異常検知部18は、主ロープ5の異常を検知する。候補抽出部19は、現在のかご6の位置と記憶部17が記憶している関係とに基づいて、エレベーター1における複数の滑車の各々の有感範囲にある主ロープ5の部位を複数の候補として抽出する。ここで、複数の候補は、錘側動滑車14の有感範囲にある主ロープ5の部位を含む。また、複数の候補は、他の滑車の有感範囲にある主ロープ5の部位も含む。ここで、2回目に異常が検知されたときに錘側動滑車14の有感範囲にある部位は、1回目の検知および2回目の検知の両方において候補として抽出されている。一方、他の部位の候補は、1回目の検知または2回目の検知の片方のみにおいて候補として抽出されている。このため、2回目に異常が検知されたときに錘側動滑車14の有感範囲にある部位は、異常が発生した部位として有力な候補となる。 In this example, the weight side moving pulley 14 reacts to the abnormality of the main rope 5 for the second time. At this time, the abnormality detection unit 18 detects the abnormality of the main rope 5. The candidate extraction unit 19 selects a plurality of candidates for the main rope 5 in the perceived range of each of the plurality of pulleys in the elevator 1 based on the relationship between the current position of the car 6 and the storage unit 17. Extract as. Here, the plurality of candidates include the portion of the main rope 5 within the sensitive range of the weight-side moving pulley 14. The plurality of candidates also include the portion of the main rope 5 within the sensitive range of the other pulleys. Here, the portion within the sensation range of the weight-side moving pulley 14 when the abnormality is detected the second time is extracted as a candidate in both the first detection and the second detection. On the other hand, candidates for other parts are extracted as candidates in only one of the first detection and the second detection. Therefore, the portion within the sensitive range of the weight-side moving pulley 14 when the abnormality is detected for the second time is a promising candidate as the portion where the abnormality has occurred.
 続いて、図5から図7を用いて、情報収集システム15による情報収集の例を説明する。
 図5から図7は、実施の形態1に係る情報収集システムの情報収集の例を示す図である。
Subsequently, an example of information collection by the information collection system 15 will be described with reference to FIGS. 5 to 7.
5 to 7 are diagrams showing an example of information collection of the information collection system according to the first embodiment.
 図5において、異常が検知されたときに抽出される候補の例が示される。
 図5において、抽出された候補が三角記号で示される。
FIG. 5 shows an example of a candidate extracted when an abnormality is detected.
In FIG. 5, the extracted candidates are indicated by triangular symbols.
 この例において、5階の乗場3にいる利用者によって乗場呼びの操作が行われている。このとき、乗場呼びは、5階にかご6を停止させる呼びとして登録されている。 In this example, the user at the platform 3 on the 5th floor is operating the platform call. At this time, the landing call is registered as a call to stop the car 6 on the 5th floor.
 この例において、かご6が下降して2階に停止するときに、異常検知部18によって異常が検知される。候補抽出部19は、現在のかご6の位置と記憶部17が記憶している関係とに基づいて、エレベーター1における複数の滑車の各々の有感範囲にある主ロープ5の部位を複数の候補として抽出する。 In this example, when the car 6 descends and stops on the second floor, the abnormality detection unit 18 detects an abnormality. The candidate extraction unit 19 selects a plurality of candidates for the main rope 5 in the perceived range of each of the plurality of pulleys in the elevator 1 based on the relationship between the current position of the car 6 and the storage unit 17. Extract as.
 このとき、候補抽出部19は、抽出された複数の候補の各々について、候補指標値を算出する。候補指標値は、異常が発生したロープの部位の候補としての有力性を表す値である。すなわち、候補指標値の高い候補は、異常が発生したロープの部位である見込みが高い。この例において、主ロープ5の部位に対応する候補指標値は、当該部位が候補として抽出されるたびに加算されるスコアである。候補指標値は、主ロープ5の部位に関連づけて例えば候補抽出部19に記憶される。 At this time, the candidate extraction unit 19 calculates the candidate index value for each of the extracted plurality of candidates. The candidate index value is a value indicating the potential as a candidate for the part of the rope where the abnormality has occurred. That is, the candidate with a high candidate index value is likely to be the site of the rope where the abnormality has occurred. In this example, the candidate index value corresponding to the part of the main rope 5 is a score added each time the part is extracted as a candidate. The candidate index value is stored in, for example, the candidate extraction unit 19 in association with the portion of the main rope 5.
 ここで、主ロープ5は、エレベーター1の運転において滑車に接触する頻度に基づいて複数の領域に分類される。図5において、分類された主ロープ5の領域はハッチングによって示される。図5において、例えば領域A3は、滑車に接触する頻度が最も高い領域である。領域A2は、滑車に接触する頻度が領域A3の頻度より低い領域である。領域A1は、滑車に接触する頻度が領域A2の頻度より低い領域である。主ロープ5に異常が発生する可能性は、滑車に接触する頻度に応じて高くなる。このため、領域A3は、領域A2より異常が発生しやすい領域となる。主ロープ5の領域による分類の情報は、例えば記憶部17に記憶される。 Here, the main rope 5 is classified into a plurality of areas based on the frequency of contact with the pulley in the operation of the elevator 1. In FIG. 5, the area of the classified main rope 5 is indicated by hatching. In FIG. 5, for example, the region A3 is the region having the highest frequency of contact with the pulley. Region A2 is a region where the frequency of contact with the pulley is lower than the frequency of region A3. Region A1 is a region where the frequency of contact with the pulley is lower than the frequency of region A2. The possibility that an abnormality occurs in the main rope 5 increases depending on the frequency of contact with the pulley. Therefore, the region A3 is a region in which an abnormality is more likely to occur than the region A2. Information on classification according to the region of the main rope 5 is stored in, for example, a storage unit 17.
 この例において、候補抽出部19は、分類された主ロープ5の領域に基づいて次のように候補指標値を算出する。候補抽出部19は、抽出された複数の候補の各々に対して候補指標値のスコアに領域に基づいて設定された値を加算する。領域A3から抽出された候補のスコアに加算される値は、領域A2から抽出された候補のスコアに加算される値より大きい。領域A2から抽出された候補のスコアに加算される値は、領域A1から抽出された候補のスコアに加算される値より大きい。なお、候補抽出部19は、異常が検知されたときに候補として抽出されなかった部位に対して、候補指標値を減少させてもよい。候補抽出部19は、このように抽出した候補の情報を部位推定部20に出力する。なお、主ロープ5を領域A1から領域A3に分けて領域ごとに異なるスコアを候補指標値に加算する方法を例として説明しているが、候補指標値の算出方法はこれに限定されない。候補指標値は、領域に関係なく同一スコアを加算する方法によって算出されてもよい。これにより、最も多く候補として抽出された主ロープ5の領域の候補指標値を最も高い値にできる。 In this example, the candidate extraction unit 19 calculates the candidate index value as follows based on the area of the classified main rope 5. The candidate extraction unit 19 adds a value set based on the region to the score of the candidate index value for each of the plurality of extracted candidates. The value added to the score of the candidate extracted from the area A3 is larger than the value added to the score of the candidate extracted from the area A2. The value added to the score of the candidate extracted from the area A2 is larger than the value added to the score of the candidate extracted from the area A1. The candidate extraction unit 19 may reduce the candidate index value with respect to the portion that was not extracted as a candidate when the abnormality was detected. The candidate extraction unit 19 outputs the information of the candidates extracted in this way to the site estimation unit 20. Although the method of dividing the main rope 5 into the area A1 to the area A3 and adding a different score for each area to the candidate index value is described as an example, the method of calculating the candidate index value is not limited to this. The candidate index value may be calculated by a method of adding the same score regardless of the region. As a result, the candidate index value of the region of the main rope 5 extracted as the most candidate can be set to the highest value.
 部位推定部20は、候補抽出部19が抽出した情報から異常が発生した主ロープ5の部位を絞り込む。部位推定部20は、例えば候補指標値が予め設定された閾値より高い候補がある場合に、当該候補を異常が発生した部位であると推定する。例えば候補指標値が閾値より高い候補がない場合に、部位推定部20は、異常が発生した部位を推定できなかったとする。候補指標値が閾値より高い候補が複数ある場合に、部位推定部20は、当該複数の候補の全ての部位を異常が発生した部位であると推定してもよい。あるいは、候補指標値が閾値より高い候補が複数ある場合に、部位推定部20は、候補指標値が最も高い候補を異常が発生した部位であると推定してもよい。あるいは、候補指標値が閾値より高い候補が複数ある場合に、部位推定部20は、異常が発生した部位を推定できなかったとしてもよい。 The part estimation unit 20 narrows down the part of the main rope 5 in which the abnormality has occurred from the information extracted by the candidate extraction unit 19. The site estimation unit 20 estimates that, for example, when there is a candidate whose candidate index value is higher than a preset threshold value, the candidate is a site where an abnormality has occurred. For example, when there is no candidate whose candidate index value is higher than the threshold value, the site estimation unit 20 cannot estimate the site where the abnormality has occurred. When there are a plurality of candidates whose candidate index values are higher than the threshold value, the site estimation unit 20 may estimate all the sites of the plurality of candidates as sites where an abnormality has occurred. Alternatively, when there are a plurality of candidates whose candidate index values are higher than the threshold value, the site estimation unit 20 may estimate the candidate having the highest candidate index value as the site where the abnormality has occurred. Alternatively, when there are a plurality of candidates whose candidate index values are higher than the threshold value, the site estimation unit 20 may not be able to estimate the site where the abnormality has occurred.
 異常が発生した部位を部位推定部20が推定できたときに、報知部21は、部位推定部20から出力される推定結果を受け付ける。推定結果は、例えば異常が発生したこと、および当該異常が発生した部位の情報を含む。報知部21は、受け付けた推定結果の報知を行う。報知部21が報知を行った後も、エレベーター1は通常運転を継続してもよい。 When the part estimation unit 20 can estimate the part where the abnormality has occurred, the notification unit 21 receives the estimation result output from the part estimation unit 20. The estimation result includes, for example, information that an abnormality has occurred and the site where the abnormality has occurred. The notification unit 21 notifies the received estimation result. The elevator 1 may continue normal operation even after the notification unit 21 notifies.
 一方、異常が発生した部位を部位推定部20が推定できなかったときに、経路算出部22は、部位推定部20からの通知を受ける。通知を受けた経路算出部22は、例えば現在のかご6の位置から可能な運転経路を列挙する。このとき、経路算出部22は、かご6の走行距離が予め設定された閾値より長い運転経路を除いてもよい。経路算出部22は、列挙した運転経路のうち、複数の候補の少なくともいずれかが複数の滑車の少なくともいずれかの有感範囲を通る運転経路を1つ以上算出する。経路算出部22は、算出した1つ以上の運転経路を経路選択部23に出力する。なお、異常が発生した部位を部位推定部20が推定できなかったときに経路算出部22が運転経路を算出する場合を例として説明しているが、経路算出部22が運転経路を算出するのは、このときに限定されない。例えば、経路算出部22は、異常が発生した部位を部位推定部20が推定できたときに、部位推定部20の推定結果が正しいかを確認しうるように、同様の処理によって運転経路の算出および出力などを行ってもよい。 On the other hand, when the site estimation unit 20 cannot estimate the site where the abnormality has occurred, the route calculation unit 22 receives a notification from the site estimation unit 20. Upon receiving the notification, the route calculation unit 22 lists possible operation routes from the current position of the car 6, for example. At this time, the route calculation unit 22 may exclude an operation route in which the mileage of the car 6 is longer than a preset threshold value. The route calculation unit 22 calculates one or more driving routes in which at least one of the plurality of candidates passes through at least one of the feeling ranges of the plurality of pulleys among the listed driving routes. The route calculation unit 22 outputs one or more calculated operation routes to the route selection unit 23. Although the case where the route calculation unit 22 calculates the operation route when the part estimation unit 20 cannot estimate the part where the abnormality has occurred is described as an example, the route calculation unit 22 calculates the operation route. Is not limited to this time. For example, the route calculation unit 22 calculates the operation route by the same processing so that when the part estimation unit 20 can estimate the part where the abnormality has occurred, it can confirm whether the estimation result of the part estimation unit 20 is correct. And output etc. may be performed.
 経路選択部23は、経路算出部22から入力された1つ以上の運転経路から、かご6を実際に走行させる運転経路を1つ選択する。 The route selection unit 23 selects one operation route for actually traveling the car 6 from one or more operation routes input from the route calculation unit 22.
 図6において、経路選択部23に選択される運転経路の例が示される。
 図6において、かご6が図5の位置にあるときに抽出された候補が三角記号で示される。
FIG. 6 shows an example of an operation route selected by the route selection unit 23.
In FIG. 6, the candidates extracted when the car 6 is in the position of FIG. 5 are indicated by triangular symbols.
 経路選択部23は、例えば登録されている呼びの情報に基づいて運転経路を選択する。経路選択部23は、呼びの情報を例えば運転制御部16などから取得する。この例において、5階にかご6を停止させる乗場呼びが登録されている。このとき、経路選択部23は、例えば5階にかご6を停止させる運転経路を選択する。経路選択部23は、例えば2階にあるかご6を上昇させて5階に停止させる運転経路を選択する。経路選択部23は、選択した運転経路の情報を運転制御部16に出力する。 The route selection unit 23 selects an operation route based on, for example, registered call information. The route selection unit 23 acquires call information from, for example, an operation control unit 16. In this example, a landing call for stopping the car 6 is registered on the 5th floor. At this time, the route selection unit 23 selects, for example, an operation route for stopping the car 6 on the 5th floor. The route selection unit 23 selects, for example, an operation route for raising the car 6 on the second floor and stopping it on the fifth floor. The route selection unit 23 outputs the information of the selected operation route to the operation control unit 16.
 運転制御部16は、入力された運転経路に従ってかご6を走行させる。 The operation control unit 16 drives the car 6 according to the input operation route.
 経路選択部23によって選択された運転経路において、かご6が図5の位置にあるときの異常の検知において第1かご側動滑車13aの有感範囲にあった候補の部位は、かご6が上昇して5階に至るまでの間にかご側定滑車8の有感範囲を通る。当該候補の部位に異常がある場合に、経路選択部23によって選択された運転経路をかご6が走行する間に当該異常が検知されうる。異常が検知されることによって、例えば候補抽出部19において候補指標値の値が更新される。このように、異常が発生した部位の推定に用いられる情報が収集される。なお、選択された運転経路において、異なるタイミングで他の候補が他の滑車の有感範囲を通ってもよい。この例において、かご6が図5の位置にあるときの異常の検知において錘側定滑車9の有感範囲にあった候補の部位は、図6の状況に至る前に錘側動滑車14の有感範囲を通っている。 In the driving path selected by the route selection unit 23, the car 6 is raised as a candidate part that is within the sensitive range of the first car side moving pulley 13a in the detection of the abnormality when the car 6 is at the position shown in FIG. Then, it passes through the sensation range of the fixed pulley 8 on the car side before reaching the 5th floor. When there is an abnormality in the candidate site, the abnormality can be detected while the car 6 travels on the driving route selected by the route selection unit 23. When the abnormality is detected, for example, the candidate index value is updated in the candidate extraction unit 19. In this way, information used for estimating the site where the abnormality has occurred is collected. In the selected driving route, other candidates may pass through the sensitive range of other pulleys at different timings. In this example, the candidate portion that was within the perceived range of the weight-side fixed pulley 9 in the detection of the abnormality when the car 6 was in the position of FIG. 5 was the weight-side moving pulley 14 before reaching the situation of FIG. It passes through the sensation range.
 なお、かご6に乗車している利用者によってかご呼びが登録されている場合に、経路選択部23は、当該かご呼びにおいて指定された階床にかご6を停止させる運転経路を選択してもよい。例えば4階を指定するかご呼びが登録されている場合に、経路選択部23は、2階にあるかご6を上昇させて4階、および5階の順に停止させる運転経路を選択してもよい。 If a car call is registered by a user in the car 6, the route selection unit 23 may select an operation route for stopping the car 6 on the floor specified in the car call. good. For example, when a car call for designating the 4th floor is registered, the route selection unit 23 may select an operation route in which the car 6 on the 2nd floor is raised and stopped in the order of the 4th floor and the 5th floor. ..
 ここで、登録されている呼びによってかご6が停止する階床である4階または5階は、かご6が現在ある階床である2階より上方にある。このため、かご6の上昇は、当該階床に近づく方向の走行である。図6に示される例において、経路選択部23は、当該階床から遠ざかる方向にかご6を走行させない運転経路を選択している。 Here, the 4th or 5th floor, which is the floor where the car 6 is stopped by the registered call, is above the 2nd floor, which is the floor where the car 6 is currently located. Therefore, the ascending of the car 6 is a traveling in a direction approaching the floor. In the example shown in FIG. 6, the route selection unit 23 selects a driving route that does not allow the car 6 to travel in a direction away from the floor.
 図7において、経路選択部23に選択される運転経路の他の例が示される。
 図7において、かご6が図5の位置にあるときに抽出された候補が三角記号で示される。図7の状況において、呼びは登録されていない。
In FIG. 7, another example of the operation route selected by the route selection unit 23 is shown.
In FIG. 7, the candidates extracted when the car 6 is in the position of FIG. 5 are indicated by triangular symbols. In the situation of FIG. 7, the call is not registered.
 経路選択部23は、候補指標値に基づいて運転経路を選択してもよい。このとき、経路選択部23は、候補指標値の情報を例えば候補抽出部19などから取得する。経路選択部23は、例えば候補指標値が最も高い候補を1つ指定する。経路選択部23は、指定した候補がいずれかの滑車の有感範囲を通るまでのかご6の走行距離が短い運転経路ほど優先して選択する。 The route selection unit 23 may select an operation route based on the candidate index value. At this time, the route selection unit 23 acquires information on the candidate index value from, for example, the candidate extraction unit 19. The route selection unit 23 specifies, for example, one candidate having the highest candidate index value. The route selection unit 23 preferentially selects a driving route having a shorter mileage of the car 6 until the designated candidate passes through the sensitive range of any of the pulleys.
 この例において、例えばかご6が図5の位置にあるときの異常の検知において第1かご側動滑車13aの有感範囲にあった候補が、候補指標値の最も高い候補であるとする。このとき、経路選択部23は、当該候補を指定する。経路選択部23は、複数の滑車の各々について、当該候補の部位が有感範囲を通るまでのかご6の走行距離を算出する。かご6の走行距離が最も短い運転経路は、図7に示されるようにかご6を下降させることで当該候補の部位が第2かご側動滑車13bの有感範囲を通る運転経路である。このため、経路選択部23は、当該運転経路を優先して選択する。経路選択部23は、例えば他の選択条件または運転上の制約などの影響を受けない場合に、当該運転経路を選択する。 In this example, for example, it is assumed that the candidate within the felt range of the first car side pulley 13a in the detection of the abnormality when the car 6 is in the position of FIG. 5 is the candidate having the highest candidate index value. At this time, the route selection unit 23 designates the candidate. The route selection unit 23 calculates the mileage of the car 6 until the candidate portion passes through the sensitive range for each of the plurality of pulleys. The driving route having the shortest mileage of the car 6 is a driving route in which the candidate portion passes through the felt range of the second car side pulley 13b by lowering the car 6 as shown in FIG. Therefore, the route selection unit 23 preferentially selects the operation route. The route selection unit 23 selects the operation route when it is not affected by other selection conditions or operational restrictions, for example.
 このように選択された運転経路をかご6が走行することで、異常がある部位の推定に用いられる情報が収集される。収集された情報に基づいて、部位推定部20は、異常が発生した部位を推定する。 When the car 6 travels on the driving route selected in this way, the information used for estimating the abnormal part is collected. Based on the collected information, the site estimation unit 20 estimates the site where the abnormality has occurred.
 続いて、図8を用いて、情報収集システム15の動作の例を説明する。
 図8は、実施の形態1に係る情報収集システムの動作の例を示すフローチャートである。
Subsequently, an example of the operation of the information collection system 15 will be described with reference to FIG.
FIG. 8 is a flowchart showing an example of the operation of the information collection system according to the first embodiment.
 ステップS1において、異常検知部18が主ロープ5の異常を検知する場合に、情報収集システム15の動作はステップS2に進む。一方、異常検知部18が主ロープ5の異常を検知しない場合に、情報収集システム15の動作はふたたびステップS1に進む。 In step S1, when the abnormality detecting unit 18 detects an abnormality in the main rope 5, the operation of the information collecting system 15 proceeds to step S2. On the other hand, when the abnormality detecting unit 18 does not detect the abnormality of the main rope 5, the operation of the information collecting system 15 proceeds to step S1 again.
 ステップS2において、候補抽出部19は、異常が発生した主ロープ5の部位の候補を抽出する。その後、情報収集システム15の動作はステップS3に進む。 In step S2, the candidate extraction unit 19 extracts candidates for the portion of the main rope 5 where the abnormality has occurred. After that, the operation of the information collecting system 15 proceeds to step S3.
 ステップS3において、部位推定部20は、異常が発生した主ロープ5の部位の候補を絞り込む。その後、情報収集システム15の動作はステップS4に進む。 In step S3, the part estimation unit 20 narrows down the candidates for the part of the main rope 5 in which the abnormality has occurred. After that, the operation of the information collecting system 15 proceeds to step S4.
 ステップS4において、異常が発生した主ロープ5の部位を部位推定部20が推定できた場合に、情報収集システム15の動作はステップS5に進む。一方、異常が発生した主ロープ5の部位を部位推定部20が推定できなかった場合に、情報収集システム15の動作はステップS6に進む。 In step S4, when the part estimation unit 20 can estimate the part of the main rope 5 where the abnormality has occurred, the operation of the information collecting system 15 proceeds to step S5. On the other hand, when the part estimation unit 20 cannot estimate the part of the main rope 5 where the abnormality has occurred, the operation of the information collecting system 15 proceeds to step S6.
 ステップS5において、報知部21は、部位推定部20による推定結果を報知する。その後、情報収集システム15の動作は終了する。 In step S5, the notification unit 21 notifies the estimation result by the site estimation unit 20. After that, the operation of the information collection system 15 ends.
 ステップS6において、経路算出部22は、複数の候補の少なくともいずれかが複数の滑車の少なくともいずれかの有感範囲を通る運転経路を1つ以上算出する。その後、情報収集システム15の動作はステップS7に進む。 In step S6, the route calculation unit 22 calculates one or more driving routes in which at least one of the plurality of candidates passes through at least one of the feeling ranges of the plurality of pulleys. After that, the operation of the information collecting system 15 proceeds to step S7.
 ステップS7において、経路選択部23は、経路算出部22が算出した1つ以上の運転経路からかご6を走行させる運転経路を選択する。経路選択部23は、選択した運転経路を運転制御部16に出力する。運転制御部16は、入力された運転経路に従ってかご6を走行させる。その後、情報収集システム15の動作はステップS1に進む。 In step S7, the route selection unit 23 selects an operation route for traveling the car 6 from one or more operation routes calculated by the route calculation unit 22. The route selection unit 23 outputs the selected operation route to the operation control unit 16. The operation control unit 16 drives the car 6 according to the input operation route. After that, the operation of the information collecting system 15 proceeds to step S1.
 以上に説明したように、実施の形態1に係る情報収集システム15は、記憶部17と、候補抽出部19と、経路算出部22と、を備える。記憶部17は、複数の有感部の各々について、有感範囲にあるロープの部位およびかご6の位置の間の関係を記憶する。複数の有感部の各々は、エレベーター1のロープに対して設けられる。エレベーター1のロープは、エレベーター1のかご6が走行するときに移動するロープである。複数の有感部は、各々の有感範囲にあるロープの異常に対して反応する。ロープの異常が検知されるときに、候補抽出部19は、複数の有感部の各々の有感範囲にあるロープの部位を、当該異常が発生したロープの部位についての複数の候補として抽出する。複数の有感部の各々の有感範囲にあるロープの部位は、かご6の位置および記憶部17が記憶している関係に基づいて導かれる。経路算出部22は、複数の候補の少なくともいずれかが複数の有感部の少なくともいずれかの有感範囲を通る運転経路を1つ以上算出する。 As described above, the information collection system 15 according to the first embodiment includes a storage unit 17, a candidate extraction unit 19, and a route calculation unit 22. The storage unit 17 stores the relationship between the rope portion and the position of the car 6 in the sensation range for each of the plurality of sensation parts. Each of the plurality of sensitive parts is provided for the rope of the elevator 1. The rope of the elevator 1 is a rope that moves when the car 6 of the elevator 1 travels. The plurality of sensitive parts react to the abnormality of the rope in each sensitive range. When an abnormality in the rope is detected, the candidate extraction unit 19 extracts a rope portion in each of the sensitive ranges of the plurality of sensitive portions as a plurality of candidates for the rope portion in which the abnormality has occurred. .. The parts of the rope within the sensation range of each of the plurality of sensational portions are derived based on the position of the car 6 and the relationship memorized by the memorizing portion 17. The route calculation unit 22 calculates one or more driving routes in which at least one of the plurality of candidates passes through at least one of the feeling ranges of the plurality of feeling parts.
 経路算出部22が算出する運転経路は、異常のある部位が有感部の有感範囲を通ることで以上の検知の再現性を確認しうる運転経路である。このため、経路算出部22が算出する1つ以上の運転経路は、ロープにおいて異常が発生した部位の推定に用いられる情報を収集するための運転経路である。このため、経路算出部22が算出したいずれかの運転経路でかご6を走行させることによって、ロープにおいて異常が発生した部位の推定に用いられる情報が収集される。なお、経路算出部22が算出できた運転経路が1つのみである場合に、経路算出部22は算出した運転経路を運転制御部16に出力してもよい。また、経路算出部22は、複数の候補の少なくともいずれかが複数の有感部の少なくともいずれかの有感範囲を通る運転経路として最初に算出された運転経路を運転制御部16に出力してもよい。あるいは、経路算出部22は、算出した複数の運転経路を運転制御部16に出力してもよい。このとき、運転制御部16は、入力された複数の運転経路からかご6を実際に走行させる運転経路を選択してもよい。 The operation route calculated by the route calculation unit 22 is an operation route in which the reproducibility of the above detection can be confirmed by passing the abnormal part through the sensation range of the sensation part. Therefore, one or more operation routes calculated by the route calculation unit 22 are operation routes for collecting information used for estimating the portion where the abnormality has occurred in the rope. Therefore, by running the car 6 on any of the driving routes calculated by the route calculation unit 22, information used for estimating the portion where the abnormality has occurred in the rope is collected. When the route calculation unit 22 can calculate only one operation route, the route calculation unit 22 may output the calculated operation route to the operation control unit 16. Further, the route calculation unit 22 outputs to the operation control unit 16 an operation route first calculated as an operation route in which at least one of the plurality of candidates passes through at least one of the feeling ranges of the plurality of feeling units. May be good. Alternatively, the route calculation unit 22 may output the calculated plurality of operation routes to the operation control unit 16. At this time, the operation control unit 16 may select an operation route for actually traveling the car 6 from the plurality of input operation routes.
 また、情報収集システム15は、経路選択部23を備える。経路選択部23は、かご6を走行させる運転経路を、経路算出部22が算出した1つ以上の運転経路から選択する、これにより、経路選択部23に設定される選択基準に基づいて運転経路が自動的に選択される。このため、異常のある部位の推定に用いられる情報が効率的に収集される。なお、経路算出部22が算出できた運転経路が1つのみである場合に、経路選択部23は当該運転経路を選択してもよい。 Further, the information collection system 15 includes a route selection unit 23. The route selection unit 23 selects an operation route for traveling the car 6 from one or more operation routes calculated by the route calculation unit 22, whereby the operation route is based on the selection criteria set in the route selection unit 23. Is automatically selected. Therefore, the information used for estimating the abnormal site is efficiently collected. When the route calculation unit 22 can calculate only one operation route, the route selection unit 23 may select the operation route.
 また、経路選択部23は、複数の階床のいずれかに停止する呼びが登録されているときに、当該階床にかご6を停止させる運転経路を選択する。これにより、利用者の利便性の低下を抑えながら、異常の候補の情報を収集することができる。ここで、ロープに発生する素線の破断などの異常は、例えば破断した部分の脱落または変形などによって、時間の経過とともに検出が困難になる場合がある。このため、異常が検知された場合に、当該異常の部位は速やかに推定されることが好ましい。情報収集システム15では、経路選択部23によって利用者の呼び登録に対する応答と異常の候補の情報の収集とが両立されるため、異常のある部位の推定の速さを大きく損なわずに、利用者の要求に沿ってエレベーター1が運転される。 Further, the route selection unit 23 selects an operation route for stopping the car 6 on the floor when a call to stop is registered on any of the plurality of floors. As a result, it is possible to collect information on abnormal candidates while suppressing a decrease in user convenience. Here, an abnormality such as a breakage of a wire generated in a rope may become difficult to detect with the passage of time due to, for example, dropping or deformation of the broken portion. Therefore, when an abnormality is detected, it is preferable that the site of the abnormality is promptly estimated. In the information collection system 15, since the route selection unit 23 balances the response to the user's call registration and the collection of information on the candidate for abnormality, the user does not significantly impair the speed of estimating the abnormal part. Elevator 1 is operated according to the request of.
 また、経路選択部23は、複数の階床のいずれかに停止する呼びが登録されているときに、当該階床にかご6が停止するまでかご6が当該階床から遠ざかる方向に走行しない運転経路を選択する。これにより、呼びによって停止する階床をかご6が通過しないので、利用者の利便性が低下しにくい。また、かご6の位置が利用者に表示される場合においても、利用者に不快感を与えにくい。 Further, when a call to stop is registered on any of the plurality of floors, the route selection unit 23 operates so that the car 6 does not travel in the direction away from the floor until the car 6 stops on the floor. Select a route. As a result, the car 6 does not pass through the floor that is stopped by the call, so that the convenience of the user is unlikely to decrease. Further, even when the position of the car 6 is displayed to the user, it is unlikely to cause discomfort to the user.
 また、候補抽出部19は、複数の候補の各々に対して候補指標値を算出する。候補指標値は、異常が発生したロープの部位の候補としての有力性を表す値である。経路選択部23は、候補指標値に基づいて運転経路を選択する。これにより、経路選択部23は、より有力な候補について再現性を確認しうる運転経路を選択できる。このため、候補の絞り込みがより効率的に行われるように情報が収集される。 Further, the candidate extraction unit 19 calculates the candidate index value for each of the plurality of candidates. The candidate index value is a value indicating the potential as a candidate for the part of the rope where the abnormality has occurred. The route selection unit 23 selects an operation route based on the candidate index value. As a result, the route selection unit 23 can select an operation route that can confirm the reproducibility of more promising candidates. Therefore, information is collected so that the candidates can be narrowed down more efficiently.
 また、候補抽出部19は、ロープの異常が検知されるときに抽出される複数の候補の各々について、複数の候補の各々のロープにおける領域に応じた候補指標値を算出する。ロープの領域によって異常が発生する可能性は異なることがある。この場合に、異常が発生する可能性についての既知の情報に基づいて、候補の絞り込みがより効率的に行われるように情報が収集される。 Further, the candidate extraction unit 19 calculates a candidate index value according to the region of each of the plurality of candidates for each of the plurality of candidates extracted when an abnormality of the rope is detected. The likelihood of anomalies may vary depending on the area of the rope. In this case, information is collected so that candidates can be narrowed down more efficiently based on known information about the possibility of anomalies occurring.
 また、複数の候補のうちから候補指標値に基づいて候補が指定される。経路選択部23は、指定された候補が複数の有感部のいずれかの有感範囲を通るまでのかご6の走行距離が短い運転経路ほど、優先して選択する。これにより、経路選択部23は、より有力な候補についてより速やかに再現性を確認しうる運転経路を選択できる。このため、候補の絞り込みがより効率的に行われるように情報が収集される。なお、候補の指定は、経路選択部23が行わなくてもよい。例えば部位推定部20は、候補の絞り込みにおいて、異常のある部位の推定には至らないものの、有力な候補を指定できるときに、当該候補の指定を含めた通知を経路選択部23などに出力してもよい。 Also, a candidate is specified from a plurality of candidates based on the candidate index value. The route selection unit 23 preferentially selects a driving route in which the mileage of the car 6 until the designated candidate passes through one of the feeling ranges of the plurality of feeling parts is shorter. As a result, the route selection unit 23 can select an operation route that can confirm the reproducibility of more promising candidates more quickly. Therefore, information is collected so that the candidates can be narrowed down more efficiently. The route selection unit 23 does not have to specify the candidate. For example, the site estimation unit 20 outputs a notification including the designation of the candidate to the route selection unit 23 or the like when a promising candidate can be specified, although the site estimation unit 20 does not estimate the abnormal site in the narrowing down of the candidates. You may.
 なお、経路選択部23は、複数の階床のいずれかに停止する呼びが登録されているときに、当該階床から遠ざかる方向にかご6を走行させる運転経路を選択してもよい。このとき、選択される運転経路は、例えば当該階床にかご6が停止せずに通過した後に、当該階床からの階床差が予め設定された階床数以内の階床において引き返して、かご6が当該階床に停止する運転経路などである。予め設定される階床数は、例えば1階床である。 Note that the route selection unit 23 may select an operation route for traveling the car 6 in a direction away from the floor when a call to stop is registered on any of the plurality of floors. At this time, the selected operation route is, for example, after the car 6 has passed through the floor without stopping, the floor difference from the floor is returned to the floor within a preset number of floors. This is an operation route or the like in which the car 6 stops on the floor. The preset number of floors is, for example, the first floor.
 より具体的な例として、3階にかご6があるときに4階にかご6を停止させる乗場呼びが登録されている場合について説明する。このとき、経路選択部23が選択する経路は、例えば3階にあるかご6を上昇させて5階に停止させ、5階においてかごドアを開閉させずにかご6を下降させて4階に停止させる運転経路などである。例えば、候補指標値の高い候補がいずれかの滑車の有感範囲を通る運転経路は、かご6を3階から1階まで下降させる運転経路か、またはかご6を3階から5階まで上昇させる運転経路かのいずれかであるとする。この場合において、利用者の乗場呼びが4階から3階に降りるための呼びであるとする。このような場合に、経路選択部23は、3階から5階、4階の順にかご6を走行させる運転経路を選択することによって、利用者の利便性を大きく損なわずに、異常のある部位の推定のための速やかな情報収集を行うことができる。このように、経路選択部23は、エレベーター1の状況に応じて利用者の利便性と速やかな情報収集とのバランスを取った運転経路を選択できる。 As a more specific example, a case where a landing call for stopping the car 6 on the 4th floor is registered when the car 6 is on the 3rd floor will be described. At this time, the route selected by the route selection unit 23 is, for example, raising the car 6 on the 3rd floor and stopping it on the 5th floor, lowering the car 6 on the 5th floor without opening and closing the car door, and stopping on the 4th floor. It is a driving route to be made to. For example, a driving route in which a candidate with a high candidate index value passes through the sensitive range of any of the pulleys is a driving route that lowers the car 6 from the 3rd floor to the 1st floor, or raises the car 6 from the 3rd floor to the 5th floor. It is assumed to be one of the driving routes. In this case, it is assumed that the user's landing call is for getting off from the 4th floor to the 3rd floor. In such a case, the route selection unit 23 selects the driving route for traveling the car 6 in the order of the 3rd floor to the 5th floor and the 4th floor, so that the user's convenience is not significantly impaired and the abnormal portion is present. It is possible to collect information promptly for the estimation of. In this way, the route selection unit 23 can select an operation route that balances the convenience of the user and the prompt information collection according to the situation of the elevator 1.
 また、経路選択部23は、算出された1つ以上の運転経路の各々に対して経路指標値を算出してもよい。経路指標値は、運転経路の特徴を表す値である。経路選択部23は、経路指標値に基づいて運転経路を選択する。経路選択部23は、例えば算出された運転経路の1つをかご6に走行させた場合のエレベーター1の利用者の待ち時間の予測値を当該運転経路の経路指標値として算出してもよい。このとき、経路選択部23は、経路指標値が小さい運転経路ほど優先して選択する。これにより、運転経路の特徴に基づく選択基準によって運転経路が自動的に選択される。このとき、例えば利用者の利便性を反映する運転経路の特徴を経路指標値とすることで、利用者の利便性の低下を抑えた運転経路が自動的に選択される。なお、利用者の待ち時間の予測値は、例えば登録されている呼びに基づいて算出される。また、複数の利用者がいる場合に、利用者の待ち時間の予測値は、複数の利用者についての平均値、合計値、または最大値などであってもよい。経路指標値は、かご6の走行距離、または消費エネルギーなどの運転経路に応じて算出できる指標であってもよい。経路指標値は、複数の指標を組み合わせて算出される値であってもよい。 Further, the route selection unit 23 may calculate a route index value for each of the calculated one or more operation routes. The route index value is a value representing the characteristics of the driving route. The route selection unit 23 selects an operation route based on the route index value. The route selection unit 23 may calculate, for example, a predicted value of the waiting time of the user of the elevator 1 when one of the calculated driving routes is driven into the car 6 as a route index value of the driving route. At this time, the route selection unit 23 preferentially selects an operation route having a smaller route index value. As a result, the driving route is automatically selected according to the selection criteria based on the characteristics of the driving route. At this time, for example, by setting the characteristic of the driving route that reflects the convenience of the user as the route index value, the driving route that suppresses the deterioration of the convenience of the user is automatically selected. The predicted value of the waiting time of the user is calculated based on, for example, a registered call. Further, when there are a plurality of users, the predicted value of the waiting time of the users may be an average value, a total value, a maximum value, or the like for the plurality of users. The route index value may be an index that can be calculated according to the mileage of the car 6 or the driving route such as energy consumption. The route index value may be a value calculated by combining a plurality of indexes.
 また、候補抽出部19は、複数の候補の各々に当該候補が抽出されたときのかご6の走行方向の情報を関連付けてもよい。このとき、経路選択部23は、複数の候補の各々に関連付けられた走行方向の情報に基づいて運転経路を選択する。例えば、かご6が上昇しているときに異常が検知された場合に、候補抽出部19は、かご6を上昇させる運転経路を優先して選択してもよい。ロープの異常に対する有感部の反応のしやすさは、例えば破断した素線が変形する方向などによって、かご6の走行方向に応じて異なる場合がある。このような場合においても、経路選択部23は、より異常の検知の再現性を確認しやすい運転経路を選択できる。 Further, the candidate extraction unit 19 may associate information on the traveling direction of the car 6 when the candidate is extracted with each of the plurality of candidates. At this time, the route selection unit 23 selects the driving route based on the travel direction information associated with each of the plurality of candidates. For example, when an abnormality is detected while the car 6 is raised, the candidate extraction unit 19 may preferentially select an operation route for raising the car 6. The susceptibility of the sensitive portion to the abnormality of the rope may differ depending on the traveling direction of the car 6, for example, depending on the direction in which the broken wire is deformed. Even in such a case, the route selection unit 23 can select an operation route that makes it easier to confirm the reproducibility of abnormality detection.
 また、経路選択部23は、選択した運転経路のかご6の走行を開始させる条件を指定してもよい。経路選択部23は、例えば開始の条件として開始時刻の指定を含めて運転経路を運転制御部16に出力してもよい。例えば混雑時間帯などにおいて異常が検知されたときに、経路選択部23は、混雑時間帯の後の開始時刻を指定してもよい。混雑時間帯は、予め設定された時間帯であってもよい。あるいは、経路選択部23は、例えば開始の条件として、登録されている呼びがないことを指定してもよい。 Further, the route selection unit 23 may specify a condition for starting the traveling of the car 6 on the selected driving route. The route selection unit 23 may output the operation route to the operation control unit 16 including the designation of the start time as a start condition, for example. For example, when an abnormality is detected in a busy time zone or the like, the route selection unit 23 may specify a start time after the busy time zone. The congestion time zone may be a preset time zone. Alternatively, the route selection unit 23 may specify, for example, that there is no registered call as a start condition.
 また、経路選択部23は、複数の選択基準を組み合わせた基準によって運転経路を選択してもよい。例えば、経路選択部23は、各々の運転経路に対して複数の選択基準に基づく複数の優先度を算出し、算出された複数の優先度から求められる総合的な優先度によって運転経路を選択してもよい。総合的な優先度は、例えば複数の優先度の総和、重み付き和、または最大値などである。あるいは、経路選択部23は、呼びの登録状況または時間帯などの条件に応じて、複数の選択基準を切り替えてもよい。 Further, the route selection unit 23 may select an operation route according to a standard that combines a plurality of selection criteria. For example, the route selection unit 23 calculates a plurality of priorities based on a plurality of selection criteria for each operation route, and selects an operation route according to the total priority obtained from the calculated plurality of priorities. You may. The overall priority is, for example, the sum of a plurality of priorities, a weighted sum, or a maximum value. Alternatively, the route selection unit 23 may switch a plurality of selection criteria according to conditions such as a call registration status or a time zone.
 また、経路算出部22が算出する運転経路においてかご6が停止する位置は、隣接する階床の間の位置であってもよい。このとき、運転制御部16は、階床の間の位置にかご6が停止するときにかごドアを開閉させない。また、経路選択部23は、かご6に利用者が乗車している場合に、階床の間の位置にかご6が停止する運転経路を選択の対象から除いてもよい。 Further, the position where the car 6 stops in the operation route calculated by the route calculation unit 22 may be a position between adjacent floors. At this time, the operation control unit 16 does not open or close the car door when the car 6 stops at a position between the floors. Further, the route selection unit 23 may exclude the driving route in which the car 6 stops at a position between the floors when the user is in the car 6 from the selection target.
 また、記憶部17、異常検知部18、候補抽出部19、部位推定部20、報知部21、経路算出部22、経路選択部23、および運転制御部16などの情報収集システム15の一部または全部は、単一のハードウェアの機能として搭載されてもよい。あるいは、運転制御部16などの情報収集システム15の一部または全部は、個別のハードウェアの機能として搭載されてもよい。運転制御部16などの情報収集システム15の一部または全部は、例えばエレベーター1が適用される建築物の遠隔地に設けられるサーバー装置などに設けられてもよい。 Further, a part of the information collection system 15 such as the storage unit 17, the abnormality detection unit 18, the candidate extraction unit 19, the part estimation unit 20, the notification unit 21, the route calculation unit 22, the route selection unit 23, and the operation control unit 16 or All may be installed as a single hardware feature. Alternatively, a part or all of the information collecting system 15 such as the operation control unit 16 may be installed as a function of individual hardware. A part or all of the information collecting system 15 such as the operation control unit 16 may be provided in, for example, a server device provided in a remote place of a building to which the elevator 1 is applied.
 また、主ロープ5のローピングは、図1などにおいて例示されたものでなくてもよい。主ロープ5のローピングは、例えば1:1ローピングなどであってもよい。また、エレベーター1のロープは、主ロープ5でなくてもよい。エレベーター1のロープは、例えば釣合いロープ、または調速機ロープなどであってもよい。 Further, the roping of the main rope 5 does not have to be exemplified in FIG. 1 and the like. The roping of the main rope 5 may be, for example, 1: 1 roping. Further, the rope of the elevator 1 does not have to be the main rope 5. The rope of the elevator 1 may be, for example, a balancing rope or a speed governor rope.
 また、異常検知部18は、巻上機4のモーター12のトルク値によらずにロープの異常を検知してもよい。異常検知部18は、例えばロープの異常がある部位が滑車に衝突した音または振動によって異常を検知する部分であってもよい。また、異常に対して反応する有感部は、エレベーター1の滑車でなくてもよい。有感部は、例えば個々の有感部を識別する情報を出力しない接触センサーまたは非接触の近接センサーなどであってもよい。 Further, the abnormality detection unit 18 may detect an abnormality in the rope regardless of the torque value of the motor 12 of the hoisting machine 4. The abnormality detection unit 18 may be, for example, a portion that detects an abnormality by the sound or vibration of a portion of the rope having an abnormality colliding with a pulley. Further, the sensitive portion that reacts to the abnormality does not have to be the pulley of the elevator 1. The sensitive portion may be, for example, a contact sensor that does not output information that identifies each sensitive portion, a non-contact proximity sensor, or the like.
 続いて、図9を用いて情報収集システム15の主要部のハードウェア構成の例を説明する。
 図9は、実施の形態1に係る情報収集システムの主要部のハードウェア構成図である。
Subsequently, an example of the hardware configuration of the main part of the information collection system 15 will be described with reference to FIG.
FIG. 9 is a hardware configuration diagram of a main part of the information collection system according to the first embodiment.
 情報収集システム15の各機能は、処理回路により実現しうる。処理回路は、少なくとも1つのプロセッサ15bと少なくとも1つのメモリ15cとを備える。処理回路は、プロセッサ15bおよびメモリ15cと共に、あるいはそれらの代用として、少なくとも1つの専用のハードウェア15aを備えてもよい。 Each function of the information collection system 15 can be realized by a processing circuit. The processing circuit includes at least one processor 15b and at least one memory 15c. The processing circuit may include at least one dedicated hardware 15a with or as a substitute for the processor 15b and the memory 15c.
 処理回路がプロセッサ15bとメモリ15cとを備える場合、情報収集システム15の各機能は、ソフトウェア、ファームウェア、またはソフトウェアとファームウェアとの組み合わせで実現される。ソフトウェアおよびファームウェアの少なくとも一方は、プログラムとして記述される。そのプログラムはメモリ15cに格納される。プロセッサ15bは、メモリ15cに記憶されたプログラムを読み出して実行することにより、情報収集システム15の各機能を実現する。 When the processing circuit includes the processor 15b and the memory 15c, each function of the information collection system 15 is realized by software, firmware, or a combination of software and firmware. At least one of the software and firmware is written as a program. The program is stored in the memory 15c. The processor 15b realizes each function of the information collection system 15 by reading and executing the program stored in the memory 15c.
 プロセッサ15bは、CPU(Central Processing Unit)、処理装置、演算装置、マイクロプロセッサ、マイクロコンピュータ、DSPともいう。メモリ15cは、例えば、RAM、ROM、フラッシュメモリ、EPROM、EEPROM等の、不揮発性または揮発性の半導体メモリ、磁気ディスク、フレキシブルディスク、光ディスク、コンパクトディスク、ミニディスク、DVD等により構成される。 The processor 15b is also referred to as a CPU (Central Processing Unit), a processing device, an arithmetic unit, a microprocessor, a microcomputer, and a DSP. The memory 15c is composed of, for example, a non-volatile or volatile semiconductor memory such as a RAM, a ROM, a flash memory, an EPROM, or an EEPROM, a magnetic disk, a flexible disk, an optical disk, a compact disk, a mini disk, a DVD, or the like.
 処理回路が専用のハードウェア15aを備える場合、処理回路は、例えば、単一回路、複合回路、プログラム化したプロセッサ、並列プログラム化したプロセッサ、ASIC、FPGA、またはこれらの組み合わせで実現される。 When the processing circuit is provided with dedicated hardware 15a, the processing circuit is realized by, for example, a single circuit, a composite circuit, a programmed processor, a parallel programmed processor, an ASIC, an FPGA, or a combination thereof.
 情報収集システム15の各機能は、それぞれ処理回路で実現することができる。あるいは、情報収集システム15の各機能は、まとめて処理回路で実現することもできる。情報収集システム15の各機能について、一部を専用のハードウェア15aで実現し、他部をソフトウェアまたはファームウェアで実現してもよい。このように、処理回路は、専用のハードウェア15a、ソフトウェア、ファームウェア、またはこれらの組み合わせで情報収集システム15の各機能を実現する。 Each function of the information collection system 15 can be realized by a processing circuit. Alternatively, each function of the information collection system 15 can be collectively realized by a processing circuit. For each function of the information collection system 15, a part may be realized by the dedicated hardware 15a, and the other part may be realized by software or firmware. As described above, the processing circuit realizes each function of the information collection system 15 by the dedicated hardware 15a, software, firmware, or a combination thereof.
 本開示に係る情報収集システムは、エレベーターに適用できる。 The information collection system related to this disclosure can be applied to elevators.
 1 エレベーター、 2 昇降路、 3 乗場、 4 巻上機、 5 主ロープ、 6 かご、 7 釣合い錘、 8 かご側定滑車、 9 錘側定滑車、 10 制御盤、 11 シーブ、 12 モーター、 13a 第1かご側動滑車、 13b 第2かご側動滑車、 14 錘側動滑車、 15 情報収集システム、 16 運転制御部、 17 記憶部、 18 異常検知部、 19 候補抽出部、 20 部位推定部、 21 報知部、 22 経路算出部、 23 経路選択部、 15a ハードウェア、 15b プロセッサ、 15c メモリ 1 elevator, 2 hoistway, 3 landing, 4 hoisting machine, 5 main rope, 6 car, 7 balancing weight, 8 car side fixed pulley, 9 weight side fixed pulley, 10 control panel, 11 sheave, 12 motor, 13a 1 car side moving pulley, 13b 2nd car side moving pulley, 14 weight side moving pulley, 15 information collection system, 16 operation control unit, 17 storage unit, 18 abnormality detection unit, 19 candidate extraction unit, 20 part estimation unit, 21 Notification unit, 22 route calculation unit, 23 route selection unit, 15a hardware, 15b processor, 15c memory

Claims (12)

  1.  エレベーターのかごが走行するときに移動するエレベーターのロープに対して設けられ各々の有感範囲にある前記ロープの異常に対して反応する複数の有感部の各々について、前記有感範囲にある前記ロープの部位および前記かごの位置の間の関係を記憶する記憶部と、
     前記ロープの異常が検知されるときに、前記かごの位置および前記記憶部が記憶している関係に基づいて導かれる前記複数の有感部の各々の前記有感範囲にある前記ロープの部位を、当該異常が発生した前記ロープの部位についての複数の候補として抽出する候補抽出部と、
     前記複数の候補の少なくともいずれかが前記複数の有感部の少なくともいずれかの前記有感範囲を通る1つ以上の運転経路を算出する経路算出部と、
     を備えるエレベーターの情報収集システム。
    The said A storage unit that stores the relationship between the part of the rope and the position of the car,
    When an abnormality of the rope is detected, the portion of the rope in the sensation range of each of the plurality of sensation parts guided based on the position of the car and the relationship memorized by the storage unit is used. , A candidate extraction unit that extracts as a plurality of candidates for the part of the rope where the abnormality has occurred,
    A route calculation unit that calculates one or more operation routes in which at least one of the plurality of candidates passes through at least one of the feeling ranges of the plurality of sensitive units.
    Elevator information gathering system equipped with.
  2.  前記かごを走行させる運転経路を前記1つ以上の運転経路から選択する経路選択部
     を備える請求項1に記載のエレベーターの情報収集システム。
    The information collecting system for an elevator according to claim 1, further comprising a route selection unit that selects a driving route for traveling the car from the one or more driving routes.
  3.  前記経路選択部は、複数の階床のいずれかに停止する呼びが登録されているときに、当該階床に前記かごを停止させる運転経路を選択する
     請求項2に記載のエレベーターの情報収集システム。
    The elevator information collection system according to claim 2, wherein the route selection unit selects an operation route for stopping the car on the floor when a call to stop is registered on any of a plurality of floors. ..
  4.  前記経路選択部は、複数の階床のいずれかに停止する呼びが登録されているときに、当該階床に前記かごが停止するまで前記かごが当該階床から遠ざかる方向に走行しない運転経路を選択する
     請求項3に記載のエレベーターの情報収集システム。
    When a call to stop is registered on any of a plurality of floors, the route selection unit sets a driving route in which the car does not travel in a direction away from the floor until the car stops on the floor. The elevator information gathering system according to claim 3 to be selected.
  5.  前記経路選択部は、複数の階床のいずれかに停止する呼びが登録されているときに、当該階床に前記かごが停止せずに通過した後に当該階床からの階床差が予め設定された階床数以内の階床において引き返して前記かごが当該階床に停止する運転経路を選択する
     請求項3に記載のエレベーターの情報収集システム。
    In the route selection unit, when a call to stop on any of a plurality of floors is registered, the floor difference from the floor is preset after the car passes through the floor without stopping. The information gathering system for an elevator according to claim 3, wherein the car turns back on the floors within the specified number of floors and selects an operation route in which the car stops on the floors.
  6.  前記経路選択部は、前記1つ以上の運転経路の各々に対して運転経路の特徴を表す経路指標値を算出し、前記経路指標値に基づいて運転経路を選択する
     請求項2から請求項5のいずれか一項に記載のエレベーターの情報収集システム。
    The route selection unit calculates a route index value representing the characteristics of the operation route for each of the one or more operation routes, and selects an operation route based on the route index value. Claims 2 to 5. The elevator information collection system described in any one of the above.
  7.  前記経路選択部は、前記1つ以上の運転経路のうちの1つを前記かごに走行させた場合のエレベーターの利用者の待ち時間の予測値を当該運転経路の前記経路指標値として算出し、前記経路指標値が小さい運転経路ほど優先して選択する
     請求項6に記載のエレベーターの情報収集システム。
    The route selection unit calculates a predicted value of the waiting time of the elevator user when one of the one or more driving routes is driven in the car as the route index value of the driving route. The elevator information collection system according to claim 6, wherein a driving route having a smaller route index value is preferentially selected.
  8.  前記候補抽出部は、前記複数の候補の各々に対して異常が発生した前記ロープの部位の候補としての有力性を表す候補指標値を算出し、
     前記経路選択部は、前記候補指標値に基づいて運転経路を選択する
     請求項2から請求項7のいずれか一項に記載のエレベーターの情報収集システム。
    The candidate extraction unit calculates a candidate index value indicating the potential as a candidate for the site of the rope in which an abnormality has occurred for each of the plurality of candidates.
    The elevator information collection system according to any one of claims 2 to 7, wherein the route selection unit selects an operation route based on the candidate index value.
  9.  前記候補抽出部は、前記ロープの異常が検知されるときに抽出される前記複数の候補の各々について、前記複数の候補の各々の前記ロープにおける領域に応じた前記候補指標値を算出する
     請求項8に記載のエレベーターの情報収集システム。
    The claim that the candidate extraction unit calculates the candidate index value according to the region of each of the plurality of candidates in the rope for each of the plurality of candidates extracted when an abnormality of the rope is detected. Elevator information collection system according to 8.
  10.  前記経路選択部は、前記複数の候補のうちから前記候補指標値に基づいて指定された候補が前記複数の有感部のいずれかの前記有感範囲を通るまでの前記かごの走行距離が短い運転経路ほど優先して選択する
     請求項8または請求項9に記載のエレベーターの情報収集システム。
    The route selection unit has a short mileage of the car until a candidate designated based on the candidate index value from the plurality of candidates passes through the sensation range of any of the sensational parts. The elevator information collection system according to claim 8 or 9, wherein the driving route is preferentially selected.
  11.  前記候補抽出部は、前記複数の候補の各々に当該候補が抽出されたときの前記かごの走行方向の情報を関連付け、
     前記経路選択部は、前記複数の候補の各々に関連付けられた前記走行方向の情報に基づいて運転経路を選択する
     請求項2から請求項10のいずれか一項に記載のエレベーターの情報収集システム。
    The candidate extraction unit associates each of the plurality of candidates with information on the traveling direction of the car when the candidate is extracted.
    The elevator information collection system according to any one of claims 2 to 10, wherein the route selection unit selects an operation route based on the travel direction information associated with each of the plurality of candidates.
  12.  前記経路選択部は、選択した運転経路の前記かごの走行を開始させる条件を指定する
     請求項2から請求項11のいずれか一項に記載のエレベーターの情報収集システム。
    The elevator information collection system according to any one of claims 2 to 11, wherein the route selection unit specifies a condition for starting the traveling of the car on the selected driving route.
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WO2019030888A1 (en) * 2017-08-10 2019-02-14 三菱電機株式会社 Break detection device

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