WO2022079193A1 - Procédé de modélisation de système de rail d'ascenseur - Google Patents

Procédé de modélisation de système de rail d'ascenseur Download PDF

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Publication number
WO2022079193A1
WO2022079193A1 PCT/EP2021/078502 EP2021078502W WO2022079193A1 WO 2022079193 A1 WO2022079193 A1 WO 2022079193A1 EP 2021078502 W EP2021078502 W EP 2021078502W WO 2022079193 A1 WO2022079193 A1 WO 2022079193A1
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WO
WIPO (PCT)
Prior art keywords
building
modeling
rail
horizontal
data
Prior art date
Application number
PCT/EP2021/078502
Other languages
German (de)
English (en)
Inventor
Marco Iannarone
Britta MEHRING
Original Assignee
Tk Elevator Innovation And Operations Gmbh
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 Tk Elevator Innovation And Operations Gmbh filed Critical Tk Elevator Innovation And Operations Gmbh
Publication of WO2022079193A1 publication Critical patent/WO2022079193A1/fr

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B19/00—Mining-hoist operation
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/15—Vehicle, aircraft or watercraft design
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/10—Geometric CAD
    • G06F30/17—Mechanical parametric or variational design
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00—Computer-aided design [CAD]
    • G06F30/20—Design optimisation, verification or simulation
    • G06F30/27—Design optimisation, verification or simulation using machine learning, e.g. artificial intelligence, neural networks, support vector machines [SVM] or training a model

Definitions

  • the invention relates to a method for modeling an elevator rail system with at least one horizontal and at least one vertical rail shaft.
  • the invention relates to a data processing system for modeling an elevator rail system for carrying out the aforementioned method, with a recording device and a computing system.
  • Elevator rail systems with at least one horizontal and at least one vertical rail shaft are known to date. Such elevator rail systems work with cable-free and linear drive technology. Several cabins can be moved at the same time. Appropriately designed switch systems can move the vehicle in several directions and thus enable connections for elevators in and even between buildings.
  • the switch systems also pose a particular challenge in existing buildings that are to be expanded with the elevator rail system, since they require the appropriate space in order to be able to be installed and operated in accordance with the standard.
  • the object is achieved by a method for modeling an elevator rail system with at least one horizontal and at least one vertical rail shaft for a building, the building having an entrance area, at least one floor and structural obstacles for the elevator rail system, the structural obstacles being gas pipes, water pipes, have power lines or escape routes, the method comprising the following steps: - Obtaining, through a computing system, parametric data, building standards and safety standards relating to the building;
  • the basic idea of the present invention is therefore that the modeling of an elevator rail system with at least one horizontal and at least one vertical rail shaft takes place at least on the basis of data relating to the building, the number of vertical rail shafts and the number of horizontal rail shafts.
  • the computing system obtains the data relating to the housing, or this data is made available to the computing system.
  • This data is parametric Data.
  • This data relates to characteristics of the building, such as characteristics about the entrance area, number of floors, and structural obstructions to the elevator track system, where the structural obstructions include gas lines, water lines, power lines, or escape routes.
  • a first modeling of the building structure can take place, at least in terms of height.
  • horizontal floor plan data can also be entered.
  • the vertical rail shaft count is determined. This can be specified manually, for example.
  • the at least one vertical rail shaft can now be modeled taking into account the data relating to the building and the number of vertical rail shafts.
  • the model thus includes one or more vertical rail shafts in a building, which are not yet connected to each other.
  • the number of horizontal rail shafts is then determined. This can be specified manually, for example.
  • the horizontal rail shafts can be placed on each floor. It can also be set whether a respective horizontal rail shaft connects two vertical rail shafts with each other. However, it is also possible for a horizontal rail duct to extend from a vertical rail duct without extending to a second vertical rail duct.
  • the horizontal rail shafts can now be determined and modeled without cutting through the structural obstacles.
  • the data is preferably entered partially or completely parametrically, so that parametric modeling is involved.
  • the floors and/or rail shafts can be configured individually.
  • the models can preferably be used for planning representations, particularly preferably for CAD or BIM models.
  • the presence of one or more switch systems and/or the presence of parking positions for vehicles that are not to be driven can preferably also be taken into account for the modeling.
  • the method preferably produces a three-dimensional model of the elevator rail system in each case.
  • a further advantage of the invention consists in the fact that the switch systems can be arranged in accordance with standards and efficiently at junction points by obtaining the data relating to the building and the shaft information.
  • a switch system is designed in particular in such a way that a vehicle can be diverted from vertical travel to horizontal travel and vice versa on the switch system.
  • the computing system can also provide recommendations for the modeling of the elevator rail system based on the technical data from the data relating to the building. For example, a potential customer can send a photo of an existing building to an elevator manufacturer, whereupon the computing system obtains data regarding the building based on the photo, so that the elevator manufacturer is able to use this photo in a short time to create a cursory yet meaningful offer for an elevator track system .
  • the building is recorded by a recording device, with the computer system then evaluating the data from this recording, from which at least some of the data relating to the building result.
  • a recording device serves as a data source, with the data obtained in this way being evaluated or converted by the computing system into data relating to the building for further processing.
  • the recording device is preferably a mobile recording device, and particularly preferably a photo camera, a smartphone, data glasses or a similarly functioning device.
  • the data relating to the building can also be entered into the computer system using technical means.
  • the recording of the building includes one or more photographs, without limitation.
  • the recording of the building includes video data. All of the aforementioned features are easily accessible means for carrying out the method for modeling an elevator rail system with at least one horizontal and at least one vertical rail shaft. For example, customers from another location can provide the data relating to the building, for example via a photo. This data can be received by the elevator manufacturer and further processed according to the method. This allows a short reaction time to customer inquiries and at the same time a technically reliable modeling of the elevator rail system.
  • a window arrangement is preferably evaluated. This is a technically simple solution that can be implemented by a user. For example, a potential customer can photograph an existing building with his smartphone and send the photo to an elevator manufacturer. Based on this photo, the elevator manufacturer can extract data about the building and quickly use this data for an offer to the potential customer. The elevator manufacturer particularly preferably also knows applicable standards that he can take into account for classifying the minimum and maximum dimensions of building data. However, individual horizontal rows of windows can also be evaluated so that data about the floors can be derived from their vertical distance.
  • an algorithm preferably an artificial neural network
  • An algorithm is a unique set of instructions for solving a problem or class of problems. Algorithms consist of a finite number of well-defined individual steps. This allows them to be implemented in a computer program for execution. When solving a problem, a specific input is translated into a specific output. In mathematics and computer science, well-definedness describes the property of an object to be clearly defined.
  • Artificial neural networks also artificial neural networks, in short: ANN (English artificial neural network, ANN), are networks of artificial neurons.
  • Artificial neural networks are usually based on the networking of many McCulloch-Pitts neurons or slight modifications thereof. In principle, other artificial neurons can also be used in AIs, e.g. B. the high-order neuron.
  • the topology of a network (the assignment of connections to nodes) must be well thought out depending on its task. After the construction of a network, the training phase follows, in which the network "learns". In theory, a network can learn through the following methods: developing new connections; delete existing connections; changing the weight; adjusting the thresholds of the neurons if they have thresholds; adding or deleting neurons; and modification of activation, propagation or output function.
  • ANNs are able to learn complicated non-linear functions using a learning algorithm that attempts to determine all parameters of the function from existing input and desired output values by means of an iterative or recursive procedure.
  • ANNs are a realization of the connectionist paradigm, since the function consists of many simple, similar parts. Only in their sum can the behavior in the interaction of many involved parts become complex. ANN have the advantage that they can combine a lot of data with each other. If, for example, new construction projects for a model house are to be realized in several countries, legal requirements or country-specific standards can be taken into account by the ANN when modeling, so that several outputs can be made in a very short time.
  • data of a recording or of the recording that is not relevant to the building is filtered by the computer system. This reduces the amount of data and thus the storage space required. At the same time, the amount of data to be evaluated can be reduced for later processes, so that fewer computing steps are required.
  • a standard is selected on the basis of which the modeling takes place. For example, if an algorithm is used, it can reduce the risk of design errors when using conditions from the standard.
  • the standard can also be helpful if, for example, a recording has to be evaluated and the result is ambiguous, for example with windows that are offset in height. For example, if a particular standard includes a minimum floor height, this can help with an ambiguous result to determine that there is a single floor with windows staggered within that floor. The risk of an incorrect detection that there are two floors instead of actually only one is reduced.
  • the minimum payload and/or its minimum speed is selected.
  • minimum requirements can be defined that allow the elevator rail system to be designed more safely.
  • the minimum speed can, for example, be a measure of the fact that a minimum braking distance may also have to be taken into account in the modeling, so that the horizontal and/or vertical rail shafts can be modeled in a correspondingly tapered manner.
  • this is characterized by a grouping of individual manhole accesses into access groups.
  • the elevator rail system has horizontal and/or vertical rail shafts, however, no more conventional shaft groups.
  • the grouping of conventional shaft groups means that a call command applied to vehicles from several adjacent vertical shafts and usually the nearest vehicle drove to the requested floor.
  • these classic vertical shafts no longer exist. Instead, a large room with the horizontal and/or vertical rail shafts is hidden behind the shaft entrances. It has been found that grouping manhole accesses together, particularly when they are close together, results in a familiar user experience familiar to users of conventional vertical manholes. In this way, it is no longer the vehicles with specific vertical shafts that are grouped, but the shaft entrances.
  • An ongoing advantage is thus that users gain quicker access to the elevator track system, since the controller can control multiple vehicles in such a way that they do not block each other, or at least to a reduced extent.
  • the vehicles can drive around each other or a vehicle drives around a stationary vehicle.
  • this is characterized by determining at least one parking position for at least one vehicle, the at least one parking position starting from at least one horizontal and/or at least one vertical rail shaft; modeling the at least one storage position on the modeled horizontal and/or vertical rail shafts, the modeling being based on the data relating to the building, the number of vertical rail shafts and/or the number of horizontal rail shafts.
  • the at least one parking position can be, for example, a parking garage, a technical room or a maintenance room.
  • the data relating to the building include at least the number of floors and/or the distance between the floors, the distance between the floors preferably being based on a common zero level and a respective upper edge of a floor. It has been found that considering the number of Floors and/or the distance between the floors is already sufficient to carry out a representative modelling.
  • the fact that the distance between the floors is preferably based on a common zero level and a respective upper edge of a floor means that measurements are always taken upwards, starting from a building underground that remains the same. Thus, the values will always increase as each higher floor includes the floors below. In technical terms, this is known as measuring from the zero level to the respective upper edge of the finished floor.
  • the modeling of the elevator rail system is automatically updated as soon as data relevant to the modeling are changed.
  • the invention relates to a data processing system for modeling an elevator rail system according to a method according to at least one of the aforementioned measures.
  • the data processing system has a recording device for recording the building and a computing system for obtaining data relating to the building.
  • the computing system and the recording device are preferably designed to carry out method steps according to at least one of the preceding claims.
  • a computer program is also preferably specified, comprising instructions which, when the computer program is executed by a computer, cause the latter to carry out steps of the method.
  • a computer program is a collection of instructions for performing a specific task, designed to solve a specific class of problems.
  • a program's instructions are designed to be executed by a computer, requiring a computer to be able to execute programs in order for it to function.
  • a data carrier signal is preferably specified, which transmits the computer program.
  • a computer-readable medium is preferably specified, comprising instructions which, when executed by a computer, cause the latter to carry out steps of the method.
  • FIG. 1 shows a flow chart of a method for modeling an elevator rail system with at least one horizontal and at least one vertical rail shaft;
  • FIG. 2 shows an optical recording of the building 1 by a mobile recording device.
  • FIG. 1 shows an exemplary method for parametric modeling of an elevator rail system with at least one horizontal and at least one vertical rail shaft. The method has the following steps: First, a standard is selected, on the basis of which the modeling takes place 50.
  • a computing system 2 then obtains data relating to a building with at least one floor E0, El, E2, E3, E4 100 Provision is preferably made for the building 1 to be optically recorded by a mobile recording device 3 .
  • the computing system 2 then carries out a data evaluation of this optical recording, from which at least some of the data relating to the building 1 result 110, with a window arrangement preferably being evaluated for this purpose 120, see Figure 2 as an example.
  • the procurement of data regarding the building 1 by the computing system 2 100 provides that an algorithm is used by the computing system 2.
  • This algorithm is preferably an artificial neural network. This happens in particular in order to extract the data relating to the building 1 from the optical recording of the building 1 130.
  • non-building-relevant data of the optical recording can be filtered by the computing system 2 140.
  • a vertical rail shaft number 200 is then determined the at least one vertical rail shaft 300 is modeled based on the data relating to the building 1 and the number of vertical rail shafts 310.
  • a number of horizontal rail shafts 400 is then determined, with each horizontal rail shaft being adjustable by floor 410 and being connected to one or more vertical rail shafts 420.
  • the at least one horizontal rail shaft is then modeled on the at least one modeled vertical rail shaft 500, based on the data relating to the Building 1, on the number of vertical rail shafts and on the number of horizontal rail shafts 510.
  • Individual shaft access points are then grouped into access groups 600.
  • At least one parking position is then determined for at least one vehicle 700, with the at least one parking position being assigned by at least one horizontal and/or at least one vertical rail shaft exits 710.
  • the at least one storage position is then modeled on the modeled horizontal and/or vertical rail shafts 800, based rend on the data concerning the building 1, on the vertical rail shaft count and/or on the horizontal rail shaft count 810. If data relevant to the modeling is changed, the modeling of the elevator rail system is automatically updated 900.
  • the above steps are in a preferred order. If technically possible, the order of the individual steps can also vary.
  • FIG. 2 shows an exemplary data processing system 4 for using the exemplary method mentioned above.
  • FIG. 2 reveals that an optical recording of the building 1 is made by a mobile recording device 3, for example a camera.
  • the computing system 2 evaluates the data from this optical recording, from which at least some of the data relating to building 1 result 110.
  • the data relating to building 1 can include at least the number of floors E0, El, E2, E3, E4 and/or have the distance Al, A2, A3, A4 between floors E0, El, E2, E3, E4.
  • the distance A1, A2, A3, A4 between floors E0, E1, E2, E3, E4 is preferably based on a common zero level A0 and a respective upper edge of a lower floor of the respective floor E0, E1, E2, E3, E4.
  • the procurement of data relating to building 1 by computing system 2 100 provides that an algorithm, preferably an artificial neural network, is used by computing system 2, in particular to extract the data relating to building 1 from the optical recording of building 1 extract 130.
  • an algorithm preferably an artificial neural network
  • a window arrangement is evaluated 120 so that, based on the individual window rows, the number of floors E0, El, E2, E3, E4 and the aforementioned distance Al, A2, A3, A4 between floors E0, El, E2, E3 , E4 can be determined by the algorithm from the optical recording.
  • FIG. 2 can be used as an example. It can be seen there that the windows shown as an example on the side are designed as round windows. However, since the window arrangement of the rectangular window at the front of the building is sufficient for evaluating the data of building 1, the data from the side windows can be filtered out.
  • the elevator rail system prefferably be modeled by selecting its minimum payload and/or its minimum speed.
  • an algorithm being used by the computing system in particular to extract the data relating to the building from an optical image of the building
  • horizontal rail ducts are each connected to one or more vertical rail ducts

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Geometry (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Computer Hardware Design (AREA)
  • General Engineering & Computer Science (AREA)
  • Pure & Applied Mathematics (AREA)
  • Computational Mathematics (AREA)
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  • Mathematical Analysis (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
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  • Automation & Control Theory (AREA)
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  • Lift-Guide Devices, And Elevator Ropes And Cables (AREA)

Abstract

L'invention concerne un procédé et un système de traitement de données permettant de modéliser un système de rail d'ascenseur comprenant au moins un arbre rail horizontal et au moins un arbre rail vertical, le procédé comprenant les étapes suivantes : obtenir, au moyen d'un système informatique, des données concernant un bâtiment ayant au moins un étage (E0, E1, E2, E3, E4) (100) ; déterminer un nombre d'arbres rails verticaux (200) ; modéliser le ou les arbres rails verticaux (300), la modélisation (300) étant basée sur les données concernant le bâtiment et sur le nombre d'arbres rails verticaux (310) ; déterminer un nombre d'arbres rails horizontaux (400), chaque arbre rail horizontal étant réglable selon l'étage (410) et étant relié à un ou plusieurs arbres rails verticaux dans chaque cas (420) ; modéliser le ou les arbres rails horizontaux sur le ou les arbres rails verticaux modélisés (500), la modélisation (500) étant basée sur les données concernant le bâtiment, sur le nombre d'arbres rails verticaux et sur le nombre d'arbres rails horizontaux (510).
PCT/EP2021/078502 2020-10-14 2021-10-14 Procédé de modélisation de système de rail d'ascenseur WO2022079193A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
DE102020127060.7A DE102020127060A1 (de) 2020-10-14 2020-10-14 Verfahren zum Modellieren eines Aufzugschienensystems
DE102020127060.7 2020-10-14

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WO2022079193A1 true WO2022079193A1 (fr) 2022-04-21

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070250199A1 (en) * 1999-08-31 2007-10-25 Shingo Akasaka Remote order acceptance design system and elevator remote order acceptance method
DE102017131449A1 (de) * 2017-12-29 2019-07-04 Thyssenkrupp Ag Aufzugsystem mit einem Servicefahrzeug zur Entnahme eines Fahrkorbs

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102013107597A1 (de) 2013-01-11 2014-08-14 Stephan Hörmann Vermessungsverfahren für gebäudeöffnungen und gebäudeabschlussherstellverfahren sowie vorrichtungen zur durchführung derselben
EP3486606A1 (fr) 2017-11-20 2019-05-22 Leica Geosystems AG Caméra stéréo et procédé stéréophotogrammétrique

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20070250199A1 (en) * 1999-08-31 2007-10-25 Shingo Akasaka Remote order acceptance design system and elevator remote order acceptance method
DE102017131449A1 (de) * 2017-12-29 2019-07-04 Thyssenkrupp Ag Aufzugsystem mit einem Servicefahrzeug zur Entnahme eines Fahrkorbs

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