WO2018069565A1 - Estimating the number of passengers in an elevator system - Google Patents
Estimating the number of passengers in an elevator system Download PDFInfo
- Publication number
- WO2018069565A1 WO2018069565A1 PCT/FI2016/050714 FI2016050714W WO2018069565A1 WO 2018069565 A1 WO2018069565 A1 WO 2018069565A1 FI 2016050714 W FI2016050714 W FI 2016050714W WO 2018069565 A1 WO2018069565 A1 WO 2018069565A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- passenger
- passenger load
- change
- traffic intensity
- elevator car
- Prior art date
Links
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3476—Load weighing or car passenger counting devices
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B2201/00—Aspects of control systems of elevators
- B66B2201/40—Details of the change of control mode
- B66B2201/402—Details of the change of control mode by historical, statistical or predicted traffic data, e.g. by learning
Definitions
- An elevator system collects a plurality of statistics relating to passengers and how they use elevators of an elevator system.
- One of the collected statistics is the number of passengers using the elevator. Although the number of allocated calls in the elevator system gives some information about the actual number of passengers, it does not provide accurate information.
- Elevator systems typically use also a load weighting device that provides a signal that indicates weight of an elevator car with passengers. As the weight of the elevator car itself is known, it is possible to estimate the number of passengers entering and exiting the elevator car based on the signal. Although the load weighting device provides additional information about the number of passengers entering and exiting the elevator car, there is still some uncertainty about the exact number of passengers. For example, more than one passenger may enter or exit the elevator car side-by-side. If it also happens that the weight of one passenger is, for example, 60kg, the resulting 120kg can be interpreted either as a single passenger weighing 120kg or two passengers weighing the same 120kg.
- a solution is provided that provides a more accurate passenger detection solution than the solution using, for example, only a load weighting device to determine the number of passengers.
- the solution uses information about traffic intensity when estimating the number of passengers.
- a method for estimating the number of persons entering or leaving an elevator car comprises detecting a stepwise change in passenger load based on a passenger load signal relating to the elevator car, and estimating the change in a passenger count based on passenger load change ranges depending on traffic intensity and the stepwise change in the passenger load.
- the method further comprises determining traffic intensity to be applied, and applying a set of passenger load change ranges based on the traffic intensity.
- the method further comprises comparing the stepwise change in the passenger load to the applied set of passenger load change ranges, determining a specific passenger load change range corresponding to the stepwise change in the passenger load, and determining the change in the passenger count based on the passenger count associated with the specific passenger load change range .
- the method further comprises applying a first set of passenger load change ranges for low traffic intensity, and applying a second set of passenger load change ranges for high traffic intensity. In an embodiment, alternatively or in addition, the method further comprises determining the traffic intensity based on measured and/or forecasted traffic intensity .
- an apparatus for estimating the number of persons entering or leaving an elevator car comprises means for detecting a stepwise change in passenger load based on a passenger load signal relating to the elevator car, and means for estimating the change in a passenger count based on passenger load change ranges depending on traffic intensity and the stepwise change in the passenger load .
- the apparatus further comprises means for determining traffic intensity to be applied, and means for applying a set of passenger load change ranges based on the traffic intensity.
- the apparatus further comprises means for comparing the stepwise change in the passenger load to the applied set of passenger load change ranges, means for determining a specific passenger load change range corresponding to the stepwise change in the passenger load, and means for determining the change in the passenger count based on the passenger count associated with the specific passenger load change range .
- the apparatus further comprises means for applying a first set of passenger load change ranges for low traffic intensity, and means for applying a second set of passenger load change ranges for high traffic intensity .
- the apparatus further comprises means for determining the traffic intensity based on measured and/or forecasted traffic intensity.
- an elevator system comprising at least one elevator car, means for providing a passenger load signal relating to an elevator car and an apparatus according to the second aspect.
- a computer program comprising program code, which when executed by at least one processing unit, causes the at least one processing unit to perform the method of the first aspect.
- the computer program is embodied on a computer readable medium.
- the means disclosed above may be implemented using at least one processor or at least one processor and at least one memory connected to the at least one processor, the memory storing program instructions to be executed by the at least one processor.
- FIG. 1 is a flow diagram illustrating a method of estimating the number of passengers in an elevator system in accordance with one embodiment.
- FIG. 2 is a flow diagram illustrating a method of estimating the number of passengers in an elevator system in accordance with another embodiment.
- FIG. 3 is a graph illustrating a signal indicating weight as a function of time in accordance with one embodiment .
- FIG. 4 is a block diagram illustrating an apparatus of operating elevator cars in an elevator system.
- FIG. 1 is a flow diagram illustrating a method of estimating the number of passengers in an elevator system in accordance with one embodiment.
- the elevator system comprises means for determining a change in a load of an elevator car.
- the means for determining comprise, for example, a load weighting device.
- a stepwise change in passenger load is detected based on a passenger load signal relating to the elevator car.
- the stepwise change refers to a sudden change in the passenger load signal indicating that one or more passengers exit or enter the elevator car.
- the change in a passenger count is estimated based on passenger load change ranges depending on traffic intensity and the stepwise change in the passenger load.
- Different passenger load change ranges may have been defined for different traffic intensities. For example, for estimating the passenger count to be two persons, a low traffic situation may have a load change range of 160 - 249kg and a high traffic situation may have a load change range of 150 230kg. Thus, for example, with a passenger load change of 240kg, depending on the traffic intensity, the estimated number of passengers may be different.
- the traffic intensity may be expressed as arriving passengers/time unit. As an example, low traffic intensity may mean ⁇ 20 passengers/10 minutes. High traffic intensity may mean ⁇ 20 passengers/10 minutes.
- FIG. 2 is a flow diagram illustrating a method of estimating the number of passengers in an elevator system in accordance with another embodiment.
- the elevator system comprises means for determining a change in a load of an elevator car.
- the means for determining comprise, for example, a load weighting device .
- a passenger load signal is monitored.
- a stepwise change in the passenger load is detected at 202 based on the passenger load signal relating to the elevator car.
- the stepwise change refers to a sudden change in the passenger load signal indicating that one or more passengers exit or enter the elevator car.
- the traffic intensity may be a traffic intensity that is currently prevailing in the elevator system.
- forecast traffic intensity may be used to determine the traffic intensity.
- the traffic intensity may be expressed as arriving passengers/time unit. As an example, low traffic intensity may mean ⁇ 20 passengers/10 minutes. High traffic intensity may mean ⁇ 20 passengers/10 minutes.
- a set of passenger load change ranges is applied based on the applied traffic intensity.
- a specific set of passenger load change ranges may be determined for one or more traffic intensities.
- Each passenger load change range has an associated passenger count.
- the low traffic intensity may have a load change range of 160 - 249kg for two passengers and the high traffic intensity may have a load change range of 150 - 230kg for two passengers.
- the estimated number of passengers may be different.
- the stepwise change in the passenger load is compared to the applied set of passenger load change ranges.
- a specific passenger load change range corresponding to the stepwise change in the passenger load is determined.
- the change in the passenger count is determined based on the passenger count associated with the specific passenger load change range .
- Table 1 gives some examples of traffic intensities, passenger load change ranges and associated passenger counts.
- Table 1 illustrates only two different traffic intensities, in another embodiment, there may be more than two different traffic intensities applied and each of the traffic intensities has its own passenger load change ranges and associated passenger counts .
- FIG. 3 is a graph illustrating a passenger load signal 300 indicating load change as a function of time in an elevator system in accordance with one embodiment.
- FIG. 4 illustrates a block diagram illustrating an apparatus 400 for estimating the number of persons entering or leaving an elevator car.
- the apparatus 400 comprises at least one processor 402 connected to at least one memory 404.
- the at least one memory 404 may comprise at least one computer program which, when executed by the processor 402 or processors, causes the apparatus 400 to perform the programmed functionality.
- the apparatus 400 may also comprise input/output interface 406.
- the illustrated components are not required or all-inclusive, as any components can deleted and other components can be added.
- the input/output interface 406 may receive a load signal from a load weighting device 408.
- the load signal indicates how the load of the elevator car changes when passengers enter or leave the elevator car.
- the apparatus 400 may be an elevator system control entity configured to implement only the above disclosed operating features, or it may be part of a larger elevator control entity, for example, a group controller.
- the apparatus 400 comprises means for detecting a stepwise change in passenger load based on a passenger load signal relating to the elevator car; and means for estimating the change in a passenger count based on passenger load change ranges depending on traffic intensity and the stepwise change in the passenger load.
- the apparatus 400 may also comprise at least one of means for determining traffic intensity to be applied, means for applying a set of passenger load change ranges based on the monitored traffic intensity, means for comparing the stepwise change in the passenger load to the applied set of passenger load change ranges, means for determining a specific passenger load change range corresponding to the stepwise change in the passenger load, means for determining the change in the passenger count based on the passenger count associated with the specific passenger load change range, means for applying a first set of passenger load change ranges for low traffic intensity, and means for applying a second set of passenger load change ranges for high traffic intensity, and means for determining the traffic intensity based on measured and/or forecasted traffic intensity.
- the above means may be implemented, for example, using at least one processor 402 or at least one processor 402 and at least one memory 404 connected to the at least one processor 402, the at least one memory 404 storing program instructions to be executed by the at least one processor 402.
- At least some of the illustrated embodiments provide a solution where more accurate passenger detection is obtained. When more accurate passenger detection information is available, this improves also the transport capacity of an elevator system as unnecessary stops can be avoided (for example, when the passenger detection information indicates that there is no room for new passengers in an elevator car) . Vice versa, if the passenger detection indicates that there is room for a new passenger or passengers, a new call or calls can be allocated by the elevator system.
- the exemplary embodiments of the invention can be included within any suitable device, for example, including, servers, workstations, personal computers, laptop computers, capable of performing the processes of the exemplary embodiments.
- the exemplary embodiments may also store information relating to various processes described herein.
- Example embodiments may be implemented in software, hardware, application logic or a combination of software, hardware and application logic.
- the example embodiments can store information relating to various methods described herein. This information can be stored in one or more memories, such as a hard disk, optical disk, magneto-optical disk, RAM, and the like.
- One or more databases can store the information used to implement the example embodiments.
- the databases can be organized using data structures (e.g., records, tables, arrays, fields, graphs, trees, lists, and the like) included in one or more memories or storage devices listed herein.
- the methods described with respect to the example embodiments can include appropriate data structures for storing data collected and/or generated by the methods of the devices and subsystems of the example embodiments in one or more databases .
- All or a portion of the example embodiments can be conveniently implemented using one or more general purpose processors, microprocessors, digital signal processors, micro-controllers, and the like, programmed according to the teachings of the example embodiments, as will be appreciated by those skilled in the computer and/or software art(s) .
- Appropriate software can be readily prepared by programmers of ordinary skill based on the teachings of the example embodiments, as will be appreciated by those skilled in the software art.
- the example embodiments can be implemented by the preparation of application-specific integrated circuits or by interconnecting an appropriate network of conventional component circuits, as will be appreciated by those skilled in the electrical art(s) .
- the examples are not limited to any specific combination of hardware and/or software.
- the examples can include software for controlling the components of the example embodiments, for driving the components of the example embodiments, for enabling the components of the example embodiments to interact with a human user, and the like.
- Such computer readable media further can include a computer program for performing all or a portion (if processing is distributed) of the processing performed in implementing the example embodiments.
- Computer code devices of the examples may include any suitable interpretable or executable code mechanism, including but not limited to scripts, interpretable programs, dynamic link libraries (DLLs) , Java classes and applets, complete executable programs, and the like.
- the components of the example embodiments may include computer readable medium or memories for holding instructions programmed according to the teachings and for holding data structures, tables, records, and/or other data described herein.
- the application logic, software or an instruction set is maintained on any one of various conventional computer-readable media.
- a "computer-readable medium" may be any media or means that can contain, store, communicate, propagate or transport the instructions for use by or in connection with an instruction execution system, apparatus, or device, such as a computer.
- a computer-readable medium may include a computer-readable storage medium that may be any media or means that can contain or store the instructions for use by or in connection with an instruction execution system, apparatus, or device, such as a computer.
- a computer readable medium can include any suitable medium that participates in providing instructions to a processor for execution. Such a medium can take many forms, including but not limited to, non-volatile media, volatile media, transmission media, and the like.
Landscapes
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Mechanical Engineering (AREA)
- Computer Networks & Wireless Communication (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
- Elevator Control (AREA)
Abstract
The invention provides a solution for estimating the number of persons entering or leaving an elevator car. A stepwise change in passenger load is detected based on a passenger load signal relating to the elevator car, and the change in a passenger count is estimated based on passenger load change ranges depending on traffic intensity and the stepwise change in the passenger load.
Description
ESTIMATING THE NUMBER OF PASSENGERS IN AN ELEVATOR
SYSTEM
BACKGROUND
An elevator system collects a plurality of statistics relating to passengers and how they use elevators of an elevator system. One of the collected statistics is the number of passengers using the elevator. Although the number of allocated calls in the elevator system gives some information about the actual number of passengers, it does not provide accurate information.
Elevator systems typically use also a load weighting device that provides a signal that indicates weight of an elevator car with passengers. As the weight of the elevator car itself is known, it is possible to estimate the number of passengers entering and exiting the elevator car based on the signal. Although the load weighting device provides additional information about the number of passengers entering and exiting the elevator car, there is still some uncertainty about the exact number of passengers. For example, more than one passenger may enter or exit the elevator car side-by-side. If it also happens that the weight of one passenger is, for example, 60kg, the resulting 120kg can be interpreted either as a single passenger weighing 120kg or two passengers weighing the same 120kg. SUMMARY
A solution is provided that provides a more accurate passenger detection solution than the solution using, for example, only a load weighting device to determine the number of passengers. In addition to a signal from the load weighting device, the solution uses
information about traffic intensity when estimating the number of passengers.
According to a first aspect of the invention, there is provided a method for estimating the number of persons entering or leaving an elevator car. The method comprises detecting a stepwise change in passenger load based on a passenger load signal relating to the elevator car, and estimating the change in a passenger count based on passenger load change ranges depending on traffic intensity and the stepwise change in the passenger load.
In an embodiment, the method further comprises determining traffic intensity to be applied, and applying a set of passenger load change ranges based on the traffic intensity.
In an embodiment, alternatively or in addition, the method further comprises comparing the stepwise change in the passenger load to the applied set of passenger load change ranges, determining a specific passenger load change range corresponding to the stepwise change in the passenger load, and determining the change in the passenger count based on the passenger count associated with the specific passenger load change range .
In an embodiment, alternatively or in addition, the method further comprises applying a first set of passenger load change ranges for low traffic intensity, and applying a second set of passenger load change ranges for high traffic intensity. In an embodiment, alternatively or in addition, the method further comprises determining the traffic
intensity based on measured and/or forecasted traffic intensity .
According to a second aspect of the invention, there is provided an apparatus for estimating the number of persons entering or leaving an elevator car. The apparatus comprises means for detecting a stepwise change in passenger load based on a passenger load signal relating to the elevator car, and means for estimating the change in a passenger count based on passenger load change ranges depending on traffic intensity and the stepwise change in the passenger load . In an embodiment, the apparatus further comprises means for determining traffic intensity to be applied, and means for applying a set of passenger load change ranges based on the traffic intensity. In an embodiment, alternatively or in addition, the apparatus further comprises means for comparing the stepwise change in the passenger load to the applied set of passenger load change ranges, means for determining a specific passenger load change range corresponding to the stepwise change in the passenger load, and means for determining the change in the passenger count based on the passenger count associated with the specific passenger load change range .
In an embodiment, alternatively or in addition, the apparatus further comprises means for applying a first set of passenger load change ranges for low traffic intensity, and means for applying a second set of passenger load change ranges for high traffic intensity .
In an embodiment, alternatively or in addition, the apparatus further comprises means for determining the traffic intensity based on measured and/or forecasted traffic intensity.
According to a third aspect of the invention, there is provided an elevator system comprising at least one elevator car, means for providing a passenger load signal relating to an elevator car and an apparatus according to the second aspect.
According to a fourth aspect of the invention, there is provided a computer program comprising program code, which when executed by at least one processing unit, causes the at least one processing unit to perform the method of the first aspect.
In an embodiment, the computer program is embodied on a computer readable medium.
The means disclosed above may be implemented using at least one processor or at least one processor and at least one memory connected to the at least one processor, the memory storing program instructions to be executed by the at least one processor.
BRIEF DESCRIPTION OF THE DRAWINGS
The accompanying drawings, which are included to provide a further understanding of the invention and constitute a part of this specification, illustrate embodiments of the invention and together with the description help to explain the principles of the invention. In the drawings: FIG. 1 is a flow diagram illustrating a method of estimating the number of passengers in an elevator system in accordance with one embodiment.
FIG. 2 is a flow diagram illustrating a method of estimating the number of passengers in an elevator system in accordance with another embodiment.
FIG. 3 is a graph illustrating a signal indicating weight as a function of time in accordance with one embodiment . FIG. 4 is a block diagram illustrating an apparatus of operating elevator cars in an elevator system.
DETAILED DESCRIPTION
FIG. 1 is a flow diagram illustrating a method of estimating the number of passengers in an elevator system in accordance with one embodiment. The elevator system comprises means for determining a change in a load of an elevator car. The means for determining comprise, for example, a load weighting device.
At 100 a stepwise change in passenger load is detected based on a passenger load signal relating to the elevator car. The stepwise change refers to a sudden change in the passenger load signal indicating that one or more passengers exit or enter the elevator car.
At 102 the change in a passenger count is estimated based on passenger load change ranges depending on traffic intensity and the stepwise change in the passenger load. Different passenger load change ranges may have been defined for different traffic intensities. For example, for estimating the passenger count to be two persons, a low traffic situation may have a load change range of 160 - 249kg and a high traffic situation may have a load change range of 150 230kg. Thus, for example, with a passenger load change of 240kg, depending on the traffic intensity,
the estimated number of passengers may be different. The traffic intensity may be expressed as arriving passengers/time unit. As an example, low traffic intensity may mean ≤20 passengers/10 minutes. High traffic intensity may mean ≥20 passengers/10 minutes.
FIG. 2 is a flow diagram illustrating a method of estimating the number of passengers in an elevator system in accordance with another embodiment. The elevator system comprises means for determining a change in a load of an elevator car. The means for determining comprise, for example, a load weighting device . At 200 a passenger load signal is monitored. A stepwise change in the passenger load is detected at 202 based on the passenger load signal relating to the elevator car. The stepwise change refers to a sudden change in the passenger load signal indicating that one or more passengers exit or enter the elevator car.
At 204 traffic intensity to be applied is determined. The traffic intensity may be a traffic intensity that is currently prevailing in the elevator system. In another embodiment, alternatively or in addition, forecast traffic intensity may be used to determine the traffic intensity. The traffic intensity may be expressed as arriving passengers/time unit. As an example, low traffic intensity may mean ≤20 passengers/10 minutes. High traffic intensity may mean ≥20 passengers/10 minutes.
At 206 a set of passenger load change ranges is applied based on the applied traffic intensity. A specific set of passenger load change ranges may be determined for one or more traffic intensities. Each passenger load change range has an associated
passenger count. For example, the low traffic intensity may have a load change range of 160 - 249kg for two passengers and the high traffic intensity may have a load change range of 150 - 230kg for two passengers. Thus, for example, with a passenger load change of 240kg, depending on the traffic intensity, the estimated number of passengers may be different.
At 208 the stepwise change in the passenger load is compared to the applied set of passenger load change ranges. At 210 a specific passenger load change range corresponding to the stepwise change in the passenger load is determined. At 212 the change in the passenger count is determined based on the passenger count associated with the specific passenger load change range .
The following Table 1 gives some examples of traffic intensities, passenger load change ranges and associated passenger counts.
Table 1
Although Table 1 illustrates only two different traffic intensities, in another embodiment, there may be more than two different traffic intensities applied and each of the traffic intensities has its own
passenger load change ranges and associated passenger counts .
FIG. 3 is a graph illustrating a passenger load signal 300 indicating load change as a function of time in an elevator system in accordance with one embodiment.
A start load 302 of an elevator car (i.e. a passenger load) at around 70 seconds is approximately 15kg. This means that the elevator car is empty at first. Between 70 - 80 seconds, the passenger load rises to an end load 304 of 170kg. Thus, the detected passenger load is now 155kg. Referring back to Table 1, it can be determined that during low traffic intensity, the estimated passenger count is 1, and during high traffic intensity, the estimated passenger count is 2. FIG. 4 illustrates a block diagram illustrating an apparatus 400 for estimating the number of persons entering or leaving an elevator car. The apparatus 400 comprises at least one processor 402 connected to at least one memory 404. The at least one memory 404 may comprise at least one computer program which, when executed by the processor 402 or processors, causes the apparatus 400 to perform the programmed functionality. The apparatus 400 may also comprise input/output interface 406. The illustrated components are not required or all-inclusive, as any components can deleted and other components can be added. The input/output interface 406 may receive a load signal from a load weighting device 408. The load signal indicates how the load of the elevator car changes when passengers enter or leave the elevator car.
The apparatus 400 may be an elevator system control entity configured to implement only the above disclosed operating features, or it may be part of a larger elevator control entity, for example, a group controller.
The apparatus 400 comprises means for detecting a stepwise change in passenger load based on a passenger load signal relating to the elevator car; and means for estimating the change in a passenger count based on passenger load change ranges depending on traffic intensity and the stepwise change in the passenger load. The apparatus 400 may also comprise at least one of means for determining traffic intensity to be applied, means for applying a set of passenger load change ranges based on the monitored traffic intensity, means for comparing the stepwise change in the passenger load to the applied set of passenger load change ranges, means for determining a specific passenger load change range corresponding to the stepwise change in the passenger load, means for determining the change in the passenger count based on the passenger count associated with the specific passenger load change range, means for applying a first set of passenger load change ranges for low traffic intensity, and means for applying a second set of passenger load change ranges for high traffic intensity, and means for determining the traffic intensity based on measured and/or forecasted traffic intensity. The above means may be implemented, for example, using at least one processor 402 or at least one processor 402 and at least one memory 404 connected to the at least one processor 402, the at least one memory 404 storing program instructions to be executed by the at least one processor 402.
At least some of the illustrated embodiments provide a solution where more accurate passenger detection is obtained. When more accurate passenger detection information is available, this improves also the transport capacity of an elevator system as unnecessary stops can be avoided (for example, when the passenger detection information indicates that there is no room for new passengers in an elevator car) . Vice versa, if the passenger detection indicates that there is room for a new passenger or passengers, a new call or calls can be allocated by the elevator system.
The exemplary embodiments of the invention can be included within any suitable device, for example, including, servers, workstations, personal computers, laptop computers, capable of performing the processes of the exemplary embodiments. The exemplary embodiments may also store information relating to various processes described herein.
Example embodiments may be implemented in software, hardware, application logic or a combination of software, hardware and application logic. The example embodiments can store information relating to various methods described herein. This information can be stored in one or more memories, such as a hard disk, optical disk, magneto-optical disk, RAM, and the like. One or more databases can store the information used to implement the example embodiments. The databases can be organized using data structures (e.g., records, tables, arrays, fields, graphs, trees, lists, and the like) included in one or more memories or storage devices listed herein. The methods described with respect to the example embodiments can include appropriate data structures for storing data collected and/or generated by the methods of the devices and
subsystems of the example embodiments in one or more databases .
All or a portion of the example embodiments can be conveniently implemented using one or more general purpose processors, microprocessors, digital signal processors, micro-controllers, and the like, programmed according to the teachings of the example embodiments, as will be appreciated by those skilled in the computer and/or software art(s) . Appropriate software can be readily prepared by programmers of ordinary skill based on the teachings of the example embodiments, as will be appreciated by those skilled in the software art. In addition, the example embodiments can be implemented by the preparation of application-specific integrated circuits or by interconnecting an appropriate network of conventional component circuits, as will be appreciated by those skilled in the electrical art(s) . Thus, the examples are not limited to any specific combination of hardware and/or software. Stored on any one or on a combination of computer readable media, the examples can include software for controlling the components of the example embodiments, for driving the components of the example embodiments, for enabling the components of the example embodiments to interact with a human user, and the like. Such computer readable media further can include a computer program for performing all or a portion (if processing is distributed) of the processing performed in implementing the example embodiments. Computer code devices of the examples may include any suitable interpretable or executable code mechanism, including but not limited to scripts, interpretable programs, dynamic link libraries (DLLs) , Java classes and applets, complete executable programs, and the like.
As stated above, the components of the example embodiments may include computer readable medium or memories for holding instructions programmed according to the teachings and for holding data structures, tables, records, and/or other data described herein. In an example embodiment, the application logic, software or an instruction set is maintained on any one of various conventional computer-readable media. In the context of this document, a "computer-readable medium" may be any media or means that can contain, store, communicate, propagate or transport the instructions for use by or in connection with an instruction execution system, apparatus, or device, such as a computer. A computer-readable medium may include a computer-readable storage medium that may be any media or means that can contain or store the instructions for use by or in connection with an instruction execution system, apparatus, or device, such as a computer. A computer readable medium can include any suitable medium that participates in providing instructions to a processor for execution. Such a medium can take many forms, including but not limited to, non-volatile media, volatile media, transmission media, and the like.
While there have been shown and described and pointed out fundamental novel features as applied to preferred embodiments thereof, it will be understood that various omissions and substitutions and changes in the form and details of the devices and methods described may be made by those skilled in the art without departing from the spirit of the disclosure. For example, it is expressly intended that all combinations of those elements and/or method steps which perform substantially the same function in substantially the same way to achieve the same results are within the scope of the disclosure. Moreover, it
should be recognized that structures and/or elements and/or method steps shown and/or described in connection with any disclosed form or embodiments may be incorporated in any other disclosed or described or suggested form or embodiment as a general matter of design choice. Furthermore, in the claims means-plus- function clauses are intended to cover the structures described herein as performing the recited function and not only structural equivalents, but also equivalent structures.
The applicant hereby discloses in isolation each individual feature described herein and any combination of two or more such features, to the extent that such features or combinations are capable of being carried out based on the present specification as a whole, in the light of the common general knowledge of a person skilled in the art, irrespective of whether such features or combinations of features solve any problems disclosed herein, and without limitation to the scope of the claims. The applicant indicates that the disclosed aspects/embodiments may consist of any such individual feature or combination of features. In view of the foregoing description it will be evident to a person skilled in the art that various modifications may be made within the scope of the disclosure.
Claims
1. A method for estimating the number of persons entering or leaving an elevator car, the method comprising:
detecting a stepwise change in passenger load based on a passenger load signal relating to the elevator car; and
estimating the change in a passenger count based on passenger load change ranges depending on traffic intensity and the stepwise change in the passenger load.
2. A method according to claim 1, further comprising :
determining traffic intensity to be applied; and
applying a set of passenger load change ranges based on the traffic intensity.
3. A method according to claim 2, further comprising :
comparing the stepwise change in the passenger load to the applied set of passenger load change ranges;
determining a specific passenger load change range corresponding to the stepwise change in the passenger load; and
determining the change in the passenger count based on the passenger count associated with the specific passenger load change range.
4. A method according to claim 2 or 3, further comprising:
applying a first set of passenger load change ranges for low traffic intensity; and
applying a second set of passenger load change ranges for high traffic intensity.
5. A method according to any of claims 1 - 4, further comprising:
determining the traffic intensity based on measured and/or forecasted traffic intensity.
6. An apparatus for estimating the number of persons entering or leaving an elevator car, the apparatus comprising:
means for detecting a stepwise change in passenger load based on a passenger load signal relating to the elevator car; and
means for estimating the change in a passenger count based on passenger load change ranges depending on traffic intensity and the stepwise change in the passenger load.
7. An apparatus according to claim 6, further comprising :
means for determining traffic intensity to be applied; and
means for applying a set of passenger load change ranges based on the monitored traffic intensity .
8. An apparatus according to claim 7, further comprising :
means for comparing the stepwise change in the passenger load to the applied set of passenger load change ranges;
means for determining a specific passenger load change range corresponding to the stepwise change in the passenger load; and
means for determining the change in the passenger count based on the passenger count
associated with the specific passenger load change range .
9. An apparatus according to claim 7 or 8, further comprising:
means for applying a first set of passenger load change ranges for low traffic intensity; and
means for applying a second set of passenger load change ranges for high traffic intensity.
10. An apparatus according to any of claims 6 - 9, further comprising:
means for determining the traffic intensity based on measured and/or forecasted traffic intensity.
11. An elevator system comprising:
at least one elevator car;
means for providing a passenger load signal relating to an elevator car; and
an apparatus according to any of claims 6 -
10.
12. A computer program comprising program code, which when executed by at least one processing unit, causes the at least one processing unit to perform the method of any of claims 1 - 5.
13. A computer program according to claim 12, wherein the computer program is embodied on a computer readable medium.
Priority Applications (4)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
EP16918503.0A EP3526150A4 (en) | 2016-10-12 | 2016-10-12 | Estimating the number of passengers in an elevator system |
CN201680090020.XA CN109890735B (en) | 2016-10-12 | 2016-10-12 | Estimating passenger number in elevator system |
PCT/FI2016/050714 WO2018069565A1 (en) | 2016-10-12 | 2016-10-12 | Estimating the number of passengers in an elevator system |
US16/359,644 US11155437B2 (en) | 2016-10-12 | 2019-03-20 | Estimating the number of passengers in an elevator system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/FI2016/050714 WO2018069565A1 (en) | 2016-10-12 | 2016-10-12 | Estimating the number of passengers in an elevator system |
Related Child Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
US16/359,644 Continuation US11155437B2 (en) | 2016-10-12 | 2019-03-20 | Estimating the number of passengers in an elevator system |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2018069565A1 true WO2018069565A1 (en) | 2018-04-19 |
Family
ID=61906152
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/FI2016/050714 WO2018069565A1 (en) | 2016-10-12 | 2016-10-12 | Estimating the number of passengers in an elevator system |
Country Status (4)
Country | Link |
---|---|
US (1) | US11155437B2 (en) |
EP (1) | EP3526150A4 (en) |
CN (1) | CN109890735B (en) |
WO (1) | WO2018069565A1 (en) |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
SG11201706271UA (en) * | 2015-02-23 | 2017-09-28 | Inventio Ag | Elevator system with adaptive door control |
WO2018069565A1 (en) * | 2016-10-12 | 2018-04-19 | Kone Corporation | Estimating the number of passengers in an elevator system |
US11591182B2 (en) | 2018-06-05 | 2023-02-28 | Girard Larivière Inc. | Presence detection system and method |
CN113830635B (en) * | 2021-10-27 | 2023-03-03 | 通力电梯有限公司 | Method for determining the load state of an elevator car, elevator control method and elevator |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4612624A (en) * | 1982-10-25 | 1986-09-16 | Mitsubishi Denki Kabushiki Kaisha | Demand estimation apparatus |
WO2004031062A1 (en) * | 2002-10-01 | 2004-04-15 | Kone Corporation | Elevator group control method |
Family Cites Families (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JPS6023262A (en) * | 1983-07-20 | 1985-02-05 | 株式会社日立製作所 | Elevator controller |
US5260526A (en) * | 1991-04-29 | 1993-11-09 | Otis Elevator Company | Elevator car assignment conditioned on minimum criteria |
US5248860A (en) * | 1991-04-29 | 1993-09-28 | Otis Elevator Company | Using fuzzy logic to determine elevator car assignment utility |
US5219042A (en) * | 1991-12-17 | 1993-06-15 | Otis Elevator Company | Using fuzzy logic to determine the number of passengers entering and exiting an elevator car |
US5347093A (en) * | 1992-08-10 | 1994-09-13 | Otis Elevator Company | Fuzzy tailoring of elevator passenger fuzzy sets |
JPH07144842A (en) * | 1993-07-22 | 1995-06-06 | Otis Elevator Co | Method of starting a plurality of elevator car in building |
US8411963B2 (en) * | 2008-08-08 | 2013-04-02 | The Nielsen Company (U.S.), Llc | Methods and apparatus to count persons in a monitored environment |
US9573789B2 (en) * | 2014-03-27 | 2017-02-21 | Thyssenkrupp Elevator Corporation | Elevator load detection system and method |
CN104828664B (en) * | 2015-04-03 | 2020-05-22 | 奥的斯电梯公司 | Automatic debugging system and method |
CN112850406A (en) * | 2015-04-03 | 2021-05-28 | 奥的斯电梯公司 | Traffic list generation for passenger transport |
CN106144796B (en) * | 2015-04-03 | 2020-01-31 | 奥的斯电梯公司 | Depth sensor based occupant sensing for air passenger transport envelope determination |
EP3507225B1 (en) * | 2016-08-30 | 2020-04-01 | KONE Corporation | Peak traffic detection according to passenger traffic intensity |
WO2018069565A1 (en) * | 2016-10-12 | 2018-04-19 | Kone Corporation | Estimating the number of passengers in an elevator system |
US20180111793A1 (en) * | 2016-10-20 | 2018-04-26 | Otis Elevator Company | Building Traffic Analyzer |
EP3505473A1 (en) * | 2018-01-02 | 2019-07-03 | KONE Corporation | Forecasting elevator passenger traffic |
-
2016
- 2016-10-12 WO PCT/FI2016/050714 patent/WO2018069565A1/en active Search and Examination
- 2016-10-12 CN CN201680090020.XA patent/CN109890735B/en active Active
- 2016-10-12 EP EP16918503.0A patent/EP3526150A4/en active Pending
-
2019
- 2019-03-20 US US16/359,644 patent/US11155437B2/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4612624A (en) * | 1982-10-25 | 1986-09-16 | Mitsubishi Denki Kabushiki Kaisha | Demand estimation apparatus |
WO2004031062A1 (en) * | 2002-10-01 | 2004-04-15 | Kone Corporation | Elevator group control method |
Non-Patent Citations (1)
Title |
---|
See also references of EP3526150A4 * |
Also Published As
Publication number | Publication date |
---|---|
EP3526150A1 (en) | 2019-08-21 |
CN109890735A (en) | 2019-06-14 |
CN109890735B (en) | 2022-01-14 |
US11155437B2 (en) | 2021-10-26 |
EP3526150A4 (en) | 2020-07-01 |
US20190218059A1 (en) | 2019-07-18 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11155437B2 (en) | Estimating the number of passengers in an elevator system | |
US11414296B2 (en) | Managing the number of active elevator cars in a multi-car elevator shaft system | |
EP3261968B1 (en) | Method and apparatus for predicting floor information for a destination call | |
US10160618B2 (en) | Elevator evacuation system configured to account for prioritized evacuation | |
US11542117B2 (en) | Managing elevator cars in a multi-car elevator shaft system | |
US20110284329A1 (en) | Elevator group control method and device thereof | |
US10526165B2 (en) | Passenger number based call allocation in an elevator system | |
US20190106289A1 (en) | Computing allocation decisions in an elevator system | |
CN105980284A (en) | Brake operation management in elevators | |
JP7151865B2 (en) | elevator system | |
US11214463B2 (en) | Peak traffic detection according to passenger traffic intensity | |
US9983911B2 (en) | Analysis controller, analysis control method and computer-readable medium | |
JP6918906B2 (en) | Elevator control device and elevator control method | |
EP2477112A1 (en) | Method for efficient scheduling in a resource-sharing system | |
US20190241400A1 (en) | Elevator control system and elevator control method for evacuation | |
WO2017098652A1 (en) | Elevator control device and elevator control method | |
WO2023197141A1 (en) | Determination of a baseline image for fill level calculations of an elevator car | |
Down et al. | State-dependent response times via fluid limits in shortest remaining processing time queues | |
EP2813458A1 (en) | Method and apparatus for estimating the weight of an elevator car | |
JPS62191383A (en) | Group controller for elevator |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
DPE1 | Request for preliminary examination filed after expiration of 19th month from priority date (pct application filed from 20040101) | ||
121 | Ep: the epo has been informed by wipo that ep was designated in this application |
Ref document number: 16918503 Country of ref document: EP Kind code of ref document: A1 |
|
NENP | Non-entry into the national phase |
Ref country code: DE |
|
ENP | Entry into the national phase |
Ref document number: 2016918503 Country of ref document: EP Effective date: 20190513 |