EP3512793A1

EP3512793A1 - Method for monitoring an elevator system

Info

Publication number: EP3512793A1
Application number: EP17758570.0A
Authority: EP
Inventors: Christian Studer; Martin KUSSEROW; Reto Tschuppert; Zack ZHU
Original assignee: Inventio AG
Current assignee: Inventio AG
Priority date: 2016-09-13
Filing date: 2017-09-04
Publication date: 2019-07-24
Anticipated expiration: 2037-09-04
Also published as: KR20190043562A; CN109863105A; CN109863105B; BR112019003995A2; US20190193992A1; SG11201901285QA; ES2807598T3; WO2018050470A1; US11524869B2; EP3512793B1; CA3035102A1; KR102493117B1; AU2017327417A1; AU2017327417B2

Abstract

The invention relates to a method for monitoring an elevator system (10), wherein measured values are recorded in an elevator cabin (11) by a mobile end device (24) having at least one sensor (25). The mobile end device (24) is in particular carried by a passenger (23) of the elevator system (10). The recorded measured values are transferred from the mobile end device (24) to a central evaluation unit (32), which evaluates said values. The mobile end device (24) activates a measurement mode when the mobile end device detects that the mobile end device is in the region of a shaft door (18a) of the elevator system (10).

Description

Method for monitoring an elevator installation

The invention relates to a method for monitoring an elevator installation according to the preamble of claim 1.

US 2016/0130114 A1 describes a method for monitoring a

Elevator installation, in which a passenger can carry out measurements with a mobile terminal, for example a mobile telephone or a smartphone, in an elevator car and transmit them to a central evaluation unit for evaluation. The mobile device has a sensor in the form of a microphone, the sounds of the

Lift system can detect during a ride of the elevator car. The passenger starts a program on the mobile device, via which measurements can be started and transmitted to the evaluation unit. The passenger performing the measurements may be, for example, a service technician, a home technician, or another elevator user.

US 2015/0284214 A1 describes a method for monitoring a

Elevator installation, which automatically recognizes when an elevator car in a lift shaft is displaced in the vertical direction. As soon as a mobile terminal recognizes a shift of the elevator car up or down, detection of measured variables by sensors of the mobile terminal is started. To activate this procedure, a user must activate a special mode of the mobile terminal.

For effective monitoring of elevator installations, it is important that measured values are collected from as many trips as possible from elevator cars and from the central

Evaluation unit to be evaluated. In order to get ready for the implementation of such measurements of as many passengers of elevator systems, the cost of detection and transmission should be minimized.

Thus, it is in particular the object of the invention to propose a method which allows a very simple monitoring of an elevator system and in particular very user friendly it is executable. According to the invention, this object is achieved by a method having the features of claim 1. In the method according to the invention for monitoring an elevator installation, measured values in an elevator car are detected by means of a mobile terminal having at least one sensor. The mobile terminal is in particular carried by a passenger of the elevator system. The acquired measured values are transmitted by the mobile terminal to a central evaluation unit, from which they are evaluated. According to the invention, the mobile terminal activates a measuring mode when it recognizes that it is located in the area of a shaft door of the elevator installation. The measuring mode is thus activated automatically if the passenger carrying the mobile terminal is very likely to be standing in the elevator car shortly before a journey and the mobile terminal is thus brought into an elevator car in which it can record measured values. It can thus be achieved that measured values are recorded in an elevator car during each journey made by the passenger and subsequently transmitted to the evaluation station. If the mobile terminal is then not brought into an elevator car, the measurement mode can also be deactivated automatically, for example after a definable waiting time has elapsed.

In this context, the term "in the area of a landing door" is understood to mean a stay in a local area in front of a shaft door. In particular, the area is chosen such that a person in the area actually stops only if he wants to enter an elevator car accessible via the landing door. Limits of said area may, for example, have a distance of one to three meters around the shaft door.

The mobile terminal recognizes that it is in the area of a shaft door the

Elevator is located before the passenger enters through an open landing door

Elevator car enters. The measuring mode of the mobile terminal is thus already activated before the mobile terminal is placed in an elevator car and thus before a journey of the elevator car begins, in which the elevator car and thus the mobile terminal in the vertical direction, ie up or down is accelerated.

The detection that the mobile terminal is located in the area of a shaft door of an elevator installation can be carried out in different ways. For this purpose, the mobile terminal can, for example, evaluate measured values of one or more sensors or receive a signal from a position information device. Activation of a measurement mode should in this context be understood to mean that the terminal prepares for the acquisition of measured values, that is, for example, starts a measurement program, in particular in the form of a so-called app, which brings the app already started into a special measurement mode and / or for the measurement activates necessary sensors. The acquisition of measured values does not have to be, but can already be started when the measurement mode is activated. The acquisition of measured values can be started, for example, depending on other conditions.

Thus, the mobile terminal, without a manual action, in particular of the passenger would be necessary, placed in the measurement mode and thus prepared for the detection of measured values of the elevator system. The process is thus very easy to carry out and very easy to use.

At the present time, many people and thus also many passengers of a lift installation carry a mobile terminal with sensors, for example in the form of a mobile phone or smartphone. By using these devices, which are in any case carried along, no additional hardware is required to acquire the measured values. The erfmdungsgemässe monitoring an elevator system is therefore also inexpensive executable.

In this context, monitoring of an elevator installation should be understood to mean that the operation of the elevator installation is monitored such that, for example, faults are detected and / or a need for maintenance of the entire elevator installation or individual components is detected. A system that performs such monitoring is often referred to as a remote maintenance system or remote monitoring system.

The mobile terminal can be embodied, for example, as a mobile phone, a smartphone, a tablet computer, a smartwatch, a so-called wearable, for example in the form of an electronic, smart textile or as another portable terminal. The sensor of the mobile terminal may be, for example, as a microphone, an acceleration sensor, a rotation rate sensor, a magnetic field sensor, a camera, a barometer, a brightness sensor, an air humidity sensor or a carbon dioxide Sensor be executed. The acceleration, rotation rate and magnetic field sensors are designed in particular as so-called three-dimensional or 3D sensors. Such sensors provide three measured values in the x, y and z directions, the x, y and z directions being arranged perpendicular to one another. In particular, the terminal has several and in particular different types of sensors, that is to say for example a microphone, a three-dimensional acceleration sensor, a three-dimensional rotation rate sensor and a three-dimensional magnetic field sensor. In the following, acceleration, rotation rate and magnetic field sensors are understood to mean three-dimensional acceleration, rotation rate and magnetic field sensors.

The passenger may carry the terminal in completely different orientations, so that in the first approach it is not clear how the acceleration, yaw rate or magnetic field sensors are aligned in space. However, since the gravitational acceleration is always measured, at least if the passenger does not move, the vertical direction, ie the absolute z-direction, can be determined unambiguously therefrom. With knowledge of the absolute z direction, the measured values of the acceleration and rotation rate and magnetic field sensors can be converted into values that are aligned along the absolute z direction and absolute x and y directions. The absolute x, y and z directions are each arranged perpendicular to each other. All the following statements on accelerations, rotation rates or magnetic field strengths refer to measured values converted in this way and statements on x, y and z directions in absolute x, y and z directions. Instead of determining the values in absolute x, y and z directions, the three measured values can be regarded as vectors and a resulting vector can be formed from the individual vectors. Instead of using the three individual readings, the resulting vector can also be used.

The central evaluation unit is in particular a server which receives and evaluates measured values from a plurality of mobile terminals and elevator installations. In particular, it is arranged away from the elevator installation from which the measurement data are acquired. The central evaluation unit can be operated, for example, by a company that is responsible for the maintenance of elevator systems, ie in particular by a manufacturer of elevator systems. The central evaluation unit can recognize from the measured values of an elevator installation a problem or an error, for example a stiff cabin or shaft door, and a Generate corresponding message, which then triggers a Ü Examination of the elevator system by a service technician.

The mobile terminal transmits the measured values, in particular wirelessly, to the central evaluation unit. The transmission takes place in particular via the Internet, wherein the measured values can be transmitted directly from the mobile terminal to the central evaluation unit or indirectly, ie with the interposition of one or more switching stations. In addition to a wireless transmission but also a wired transmission is conceivable. The transmission takes place in particular after the end of a journey in the elevator car. The measurement data are thus stored in particular by the mobile terminal and transmitted to the central evaluation unit after completion of the acquisition. The transmission can be done, for example, directly after completion of the acquisition. Since there may be problems with the Internet connection within buildings, the transmission can also take place with a time delay, ie only after the passenger has left the building with the elevator system. In this case, also acquired measurement data of more than one trip in an elevator car to the central

Evaluation unit to be transferred.

In an embodiment of the invention, the mobile terminal activates the measurement mode when it detects that it is located inside an elevator car. The measurement mode is thus activated when the passenger enters an elevator car with the mobile terminal. This effectively prevents the mobile terminal from being put into measurement mode unnecessarily, that is to say when it is brought into an area around a landing door, but ultimately not into an elevator car. The detection of whether the mobile terminal is located in an elevator car, in principle, can run the same as the detection of whether it is in the area of a shaft door. In the following, the term "in the area of a hoistway door of the elevator installation" should also be understood to mean "in the elevator car".

In an embodiment of the invention, the mobile terminal receives to determine its position a signal from a position information eirmchtung and evaluates this. From the receipt of said signal, the mobile terminal can close its location and thus determine whether it is in the area of a landing door of a

Elevator system is located. Thus, a very secure detection is possible, whether the mobile terminal is located near a landing door. In an analogous manner, entering and leaving an elevator car can also be detected.

The said signal can be designed such that it can only be received by the mobile terminal when the mobile terminal is located in the vicinity of a shaft door. In this case, the evaluation is limited to checking whether the signal can be received or not. It is also possible that two different signals can be received and it is concluded from the simultaneous reception of both signals that the mobile terminal is located in the vicinity of a shaft door. It is also possible that the signal must be received at least at a fixed signal strength to determine that the mobile terminal is in the vicinity of a landing door. In this case, the signal strength is compared with a threshold during the evaluation.

The position information device can be embodied, for example, as a so-called beacon, that is to say as a transmitter which transmits radio signals. For example, the beacon may emit a signal indicative of the area of a landing door or elevator car. As soon as the mobile terminal receives this specific signal with sufficient signal strength, it knows that it is in the area of a landing door or in an elevator car. It is also possible that the beacon will send a signal indicating its position within the building. From this position, the mobile terminal can deduce whether it is in the area of a landing door. The position information device can also be embodied in a different manner, for example as a WLAN transmitter, Bluetooth transmitter or another transmitter, which transmits signals that can be evaluated by the mobile terminal. It is also possible that components of the elevator installation, for example an elevator control or door control, emit corresponding signals. The signal may be embodied, for example, as a tone in a frequency range not perceptible by humans.

In an embodiment of the invention, the mobile terminal determines its position within a building having the elevator installation and deduces whether it is located in the area of a shaft door of the elevator installation. In the same way it can also be recognized whether the terminal is located inside an elevator car. The mobile terminal thus has a so-called indoor navigation system as a Program or app on the mobile device is active. For example, such indoor navigation systems evaluate signals from WLAN transmitters or beacons within the building and can thus determine the position of the terminal within the building. By comparing with a plan of the building can be determined whether the terminal is in the range of a landing door or in an elevator car. If this is the case, the terminal activates the measuring mode. Since indoor navigation devices allow a very accurate determination of the position within a building, it can be determined with a very high hit probability, whether the terminal is in the field of a landing door. The detection of whether the terminal is in the area of a landing door is thus very reliable. In a similar way, an exit from an elevator car can be detected.

In an embodiment of the invention, the mobile terminal receives information about its position within a building having the elevator system of a

Positioning system and derives from whether it is in the area of

Shaft door of the elevator system is located. In the same way it can also be recognized whether the terminal is located inside an elevator car. In this case, the building in which the elevator installation is installed is equipped with a positioning system which can detect the location of the mobile device. This

Positioning system sends information about the position of the terminal to the terminal. This information can relate to the position within the building and the terminal can compare the position with a plan of the building and deduce whether it is in the area of a landing door. It is also possible that the positioning system directly sends corresponding information to the terminal when it is in the area of a shaft door. The detection of whether the terminal is in the area of a landing door is thus very reliable. In a similar way, an exit from an elevator car can be detected.

In an embodiment of the invention, the mobile terminal detects by means of at least one sensor measured values which characterize movements of the mobile terminal, and recognizes, on the basis of these measured values, whether it is in the area of a shaft door of the elevator installation. In the same way it can also be recognized whether the terminal is located inside an elevator car. In particular, measured values of the above-described sensors of a terminal can be evaluated. For the detection, Whether the terminal is in the area of a landing door, no additional hardware is required. The erfmdungsgemässe method is thus inexpensive to carry out. In a similar way, an exit from an elevator car can be detected. The departure is basically the other way around as the entry of an elevator car.

The evaluation of the detected data and thus the recognition of an entry of the elevator car is carried out in particular by the mobile terminal. However, it is also possible for the acquired data to be continuously transmitted to the central evaluation device, and for the recognition as to whether the terminal device is located in the region of a landing door to be carried out by the evaluation device. In addition, it is possible for at least part of the evaluation of the acquired data to be carried out both by the mobile terminal and by the value device. Thus, a mutual control and / or supplementation is possible, which allows a very high probability of detection for detecting whether the terminal is in the area of a landing door.

In an embodiment of the invention, a movement pattern of the mobile terminal is derived from the measured values and compared with at least one stored signal pattern. The detection of whether the terminal is in the area of a landing door is based on the aforementioned comparison. In this way, it can be detected particularly reliably whether the terminal is located in the area of a landing door.

The named stored signal patterns are in this case movement patterns. In this context, a movement pattern is understood to mean, for example, a time sequence, in particular of accelerations or yaw rates. A movement pattern can also be described with a so-called feature or in particular a plurality of features. Such features may, for example, be statistical parameters such as mean values,

Standard deviations, minimum / maximum values or results of a fast Fourier analysis of the accelerations or rotation rates mentioned. A movement pattern in this case may also be referred to as a so-called feature vector. The features mentioned can be determined, in particular, for individual time segments, in which case particular values or gradients of individual measured values are formed. For example, such a temporal section can thereby be characterized in that the passenger does not move, so he waits, for example, in front of the shaft door. In particular, not only a single acceleration or yaw rate is considered, but the combination of several accelerations and / or yaw rates, in particular of three accelerations and yaw rates.

A stored signal pattern can, for example, characteristic courses of accelerations, rotation rates and / or magnetic fields or features when walking a person to a landing door, waiting in front of the shaft door until the elevator car is available and access is possible, entering the elevator car and turning towards the car door contain. The signal patterns can be generated by specialists on the basis of their experience or in particular determined by one or more experiments. In particular, methods of so-called machine learning are used to detect or classify movement patterns.

For example, a support vector machine, a random forest algorithm or a deep learning algorithm can be used. These

Classification procedures must first be trained. For this purpose, typical movement patterns, in particular based on the mentioned features, are generated in experiments for approaching a landing door and / or entering an elevator car and made available to the mentioned algorithms for training. After the algorithms have been trained with a sufficient number of training patterns, they can decide whether or not an unknown movement pattern indicates approaching a landing door or entering an elevator car. In this case, the signal pattern is stored in the parameters of the algorithm.

The generation of the typical movement patterns for the training can be performed by a passenger who uses the mobile terminal in daily use. He only needs to mark the beginning and the end of the approach to a landing door or the entry of an elevator car. It is also possible that after completion of the actual training, the passenger gives a response, whether a approach to a landing door or entering an elevator car not recognized or falsely approaching a landing door or entering a

Elevator car was detected. These feedbacks can be used to further train the algorithm. Since not all persons move in the same way, ie, for example, turn around at different speeds, and, for example, waiting times are of different lengths, the measured movement pattern is not limited to one

Signal pattern, but compared with a whole series, slightly different signal patterns.

In an embodiment of the invention, the mobile terminal detects by means of at least one sensor measured values which characterize an activity of the elevator installation. Based on these measured values, the terminal recognizes whether it is in the area of a shaft door of the elevator system. Activities of the elevator installation are understood here to mean, for example, movements of individual components of the elevator installation, such as movements of the elevator car, a landing door, a car door or an activation of a door drive. In particular, the terminal detects noises and / or magnetic fields, wherein in particular three magnetic fields in the x, y and z directions are measured. The changes in the measured magnetic fields can be caused, for example, by the activity of the door drive having an electric motor and / or by the cabin door and / or shaft door having the ferromagnetic material. For example, it can be concluded from the measured values mentioned that the car door of an elevator car has opened in front of a passenger and closed behind him.

In an embodiment of the invention, an activity pattern is derived from the measured values and compared with at least one stored signal pattern. The detection of whether the terminal is in the area of a landing door is based on the aforementioned comparison. In this way, it can be detected particularly reliably whether the terminal is located in the area of a landing door.

The named stored signal patterns are activity patterns in this case. In this context, an activity pattern should be understood to mean, for example, a chronological sequence, in particular of measured noises and / or magnetic fields. An activity pattern can also be described with a feature described in connection with movement patterns or, in particular, with a plurality of features. In particular, not only a single Measurement of a magnetic field in one direction, but the combination of several measurements of magnetic fields in several, especially three directions.

A signal pattern may, for example, describe a noise of a car door when opening or a noise when the elevator car enters a floor or features derived therefrom. The signal patterns can be generated by specialists on the basis of their experience or in particular determined by one or more experiments. For the determination of the signal patterns, in particular methods of so-called machine learning, analogous to the above description, can be used in connection with motion patterns. The signal patterns can also be divided into temporal sections and individual features can be determined for each section.

Since similar activities of elevators, such as opening the cabin door, may vary, for example, take a different amount of time, the measured activity pattern is compared in particular not only with a signal pattern but with a whole series of slightly different signal patterns.

In an embodiment of the invention, the mobile terminal detects with the sensor

Characteristics of the environment of the mobile terminal characteristic measurements and recognizes from these measurements, whether it is in the range of a shaft door of the elevator system or within an elevator car. It can, for example, magnetic fields, the air pressure, the brightness, the humidity or a

Carbon dioxide content of the air to be measured.

In an embodiment of the invention, a property pattern is derived from the measured values and compared with at least one stored signal pattern. The detection of whether the terminal is in the area of a landing door or inside an elevator car is based on the aforementioned comparison.

The named stored signal patterns are in this case property patterns. In this context, a property pattern should be understood as meaning, for example, a chronological sequence of measured values which describe the surroundings of the terminal, ie in this case properties of the elevator installation. A property pattern can also be associated with one Movement patterns described feature or in particular a plurality of features are described. In particular, not only the course of a single measurement of one of the mentioned properties is considered, but the combination of several measurements.

A signal pattern may, for example, describe the change in the magnetic field from outside to inside the elevator car or features derived therefrom. Changes in the magnetic field, for example, by different use

ferromagnetic materials or different electrical components, such as coils outside and inside the elevator car caused. The ferromagnetic materials may themselves generate a magnetic field and / or affect the earth's magnetic field.

For example, a signal pattern may describe the change in C02 content of the air from outside to inside the elevator car or features derived therefrom. The CO 2 content of the air rises through the air exhaled by the passengers in the closed elevator cabin. Thus, in general, the CO 2 content of the air in the cabin is higher than outside. In addition, the C02 content increases slowly while driving, with which a ride in an elevator car can be detected. Although this increase is a rather slow process, it can be detected on longer trips.

For example, a signal pattern may describe the change in humidity from outside to inside the elevator car or features derived therefrom. This rises slowly, analogously to the CO 2 content within the cabin due to the exhaled air, so that the evaluation can proceed analogously to the CO 2 content.

For example, a signal pattern may describe the change in temperature from outside to inside the elevator car or features derived therefrom. Due to the heat emitted by the passengers, the temperature rises slowly so that the evaluation can proceed analogously to the C02 content. For example, a signal pattern may describe the change in brightness from outside to inside the elevator car or features derived therefrom. Inside an elevator car, it is usually less bright than outside.

For example, a signal pattern may describe the change in acoustics from outside to inside the elevator car or features derived therefrom. Since an elevator car is a comparatively narrow, enclosed space, the echo or the sound attenuation, for example, changes. In particular, special test signals can be used to determine this change.

The signal patterns can be generated by specialists on the basis of their experience or in particular determined by one or more experiments. To determine the signal pattern can analogous to the above description in connection with

Movement patterns, in particular methods of so-called machine learning applied The signal patterns can also be divided into temporal gates and features for each section individually.

Since not all lift systems have identical property patterns but can vary them, the measured property pattern in particular not only with a signal pattern, but with a whole series, slightly different

Signal pattern compared.

For detecting whether the terminal is in the area of a landing door or within an elevator car, in particular not only individual measured movements of the passenger characterizing measured values, activities of the elevator characterizing measured values or properties of the elevator installation characteristic measuring values are recorded and evaluated, but a combination of these different Types of readings. In this way, it can be detected particularly reliably whether the terminal is in the area of a landing door or inside an elevator car.

In an embodiment of the invention, the mobile terminal starts with the activation of the measurement mode and the measurement of measured values. In this context, a measurement should be understood to mean that the mobile terminal stores the acquired measured values in order to transmit them to the evaluation device. The measurement can Moreover, for example, be terminated after a fixed period of time. This makes the process particularly easy to implement. The central evaluation unit can disregard in the evaluation uninteresting measurement data that were detected before driving the elevator car. For this purpose, the evaluation unit can detect a travel of the elevator car, for example on the basis of the acquired measurement data. This can be determined, for example, on the basis of measured accelerations and / or air pressures.

In an embodiment of the invention, the mobile terminal starts and / or ends the measurement of measured values on the basis of an external signal. This external signal can for example be sent by an elevator control unit at the beginning and at the end of a journey of the elevator car to the mobile terminal. This makes it possible to record, store and transmit only relevant measurement values for the evaluation

Transfer evaluation unit. This means that less data has to be stored, transferred and evaluated. In particular, the mobile terminal is designed to respond to said external signal only when in the measurement mode.

The external signal may, for example, also be sent at the beginning of a journey and contain the information about the anticipated duration of the upcoming trip. It is also possible that the external signal is sent before the start of the journey and contains the information as to how long it will take to start the journey. In addition, the probable duration of the journey can also be transmitted here.

In an embodiment of the invention, the mobile terminal monitors already in the measuring mode by means of at least one sensor measured values which characterize movements of the mobile terminal. It starts the measurement of measured values if a starting condition which is dependent on at least one measured value is fulfilled and / or terminates the acquisition of measured values if an end condition dependent on at least one measured value is satisfied. This makes it possible to record, save and transfer to the central evaluation unit only relevant measurement values for the evaluation. This means that less data has to be stored, transferred and evaluated.

A ride of an elevator car leads to characteristic progressions of one or more measured values. For example, a characteristic course of the results Acceleration in the vertical direction. The elevator car is first accelerated up or down, then usually runs for a while with a quasi-constant speed and is then braked to a standstill. By way of example, a start condition may be such that the magnitude of the acceleration in the vertical direction or the magnitude of the resulting acceleration vector described above exceeds a first threshold value. An end condition could then be, for example, that the amount of an oppositely oriented acceleration exceeds a second threshold.

Alternatively or additionally, the air pressure measured by a barometer can also be evaluated to detect a journey in an elevator car. By driving in the vertical direction results in a change in the air pressure, the gradient of the change in terms of amount is significantly greater than when climbing stairs or weather-related changes in air pressure. A starting condition may be, for example, that the amount of the gradient of the air pressure a first

Threshold exceeds. An end condition could then be, for example, that the amount of the gradient of the air pressure falls below a second threshold value.

Further advantages, features and details of the invention will become apparent from the following description of exemplary embodiments and with reference to the drawings, in which the same or functionally identical elements are provided with identical reference numerals.

Showing:

Fig. 1 is a very schematic representation of an elevator system with a

Passenger,

2a, b, c show time profiles of rotation rates when a passenger enters an elevator car,

Fig. 3a, b, c temporal course of magnetic field strengths when boarding a passenger in an elevator car, and

Fig. 4 shows a time course of an acceleration in the vertical direction when driving an elevator car. According to FIG. 1, an elevator installation 10 has an elevator car 11, which can be moved up and down in an elevator shaft 12 in the vertical direction 13. The elevator installation 10 is arranged in a building 9 which is shown only symbolically as a rectangle. For this purpose, the elevator car 11 is connected via a flexible support means 14 and a drive roller 15 of a drive not shown with a counterweight 16. The drive can on the drive roller 15 and the support means 14, the elevator car 11 and the counterweight 16 move in opposite directions up and down. The elevator shaft 12 has three shaft openings 17a, 17b, 17c and thus three floors, which are closed with shaft doors 18a, 18b, 18c. In Fig. 1, the elevator car 11 is at the Schachtöffhung 17a, ie in the lowest floor. If the elevator car 11 is located on a floor, that is to say on one of the shaft openings 17a, 17b, 17c, then the corresponding shaft door 18a, 18b, 18c can be opened together with a car door 19, thereby enabling the elevator car 11 to enter. To open the cabin door 19 and the corresponding shaft door 18a, 18b, 18c not shown door segments are pushed laterally, so that a displacement of the door segments takes place to the side. The car door 19 and the corresponding landing door 18a, 18b, 18c are actuated by a door drive 20, which is controlled by a door control unit 21. The door control unit 21 is in signal communication with a

Elevator control unit 22, which controls the entire elevator installation 10. The

Elevator control unit 22 controls, for example, the drive and can so the

Elevator cabin 11 moved to a desired floor. It can also, for example, send the door control unit 21 a request to open the car door 19 and the corresponding landing door 18a, 18b, 18c, which then executes the door control unit 21 by means of a corresponding activation of the door drive 20.

On the lowest floor, so in front of the shaft door 18a is a passenger 23, which carries a mobile terminal in the form of a mobile phone 24 with it. The mobile phone 24 has a plurality of sensors, of which only a microphone 25 is shown. The mobile telephone 24 also has in each case three-dimensional acceleration, yaw rate and magnetic field sensors which can acquire measured values in the x, y and z directions. As stated above, the measured values acquired by the acceleration, yaw rate and magnetic field sensors can easily be converted into values with respect to absolute x, y and z directions. All the following statements on accelerations, rotation rates or magnetic field strengths thus refer to this Converted measured values and statements on x-, y- and z-directions in absolute x-, y- and z-directions.

It is to be detected on the basis of the measured values detected by the sensors of the mobile telephone 24 when the passenger 23 enters an area 31 in front of the shaft door 18a and the mobile telephone 24 is thus located in the area 31 of the shaft door 18a. The area 31 extends, for example, to a distance of 1.5 m from the shaft door 18a. In addition, it should be recognized when the passenger 23 enters the elevator car 11 and thus the mobile telephone 24 is located in the elevator car 11. The mobile telephone 24 continuously records measured values and evaluates them. The mobile telephone 24 detects, for example, the rotation rates about the x-, y- and z-axis. These measured rotation rates characterize not only movements of the mobile telephone 24 but also movements of the passenger 23. Measured values are continuously recorded and a continuous movement pattern of the passenger 23 is generated by combining the individual measured values of the various acceleration sensors. The measured values are filtered in particular by means of a low-pass filter. The said movement pattern thus contains in this case the gradients of the rotation rates about the x, y and z axes. The mobile phone 24 compares the continuous motion pattern thus generated with stored ones

Signal patterns which are typical of a movement pattern when approaching a landing door of an elevator installation and entering an elevator car 11. In order to perform the comparison, for example, features in the form of mean values, standard deviations and minimum / maximum values of the individual rotation rates or time segments of the rotation rates are determined and compared with stored values. If the differences between the characteristics of the measured progressions and the stored characteristics are smaller than determinable threshold values, a sufficient match of a movement pattern with a stored signal pattern is detected. From this, the mobile phone 24 concludes that the passenger 23 has entered the area 31 of the car door 18a and the elevator car 1 1.

Once the mobile phone 24 recognizes that it is in the area of the hoistway door 18a, or at the latest when it detects that it is in the elevator car 11, it activates a measuring mode in which it can be used for measurements during the upcoming journey in the elevator car 11 is ready to monitor the elevator system 10. For this purpose, the mobile phone 24 starts a special app and brings them into a measurement mode, so that only one start signal is necessary for acquiring measured data. In addition, the necessary sensors for the detection can be activated and subjected to a functional test. The definition of which sensors should be used to record which measured values with which sampling rate is stored in the app.

The measurement of the measured values can be started simultaneously with the activation of the measuring mode of the mobile telephone 24 and be continued for a period of time of for example 60-240 s stored in the app. After completion of the measurement of

The mobile telephone 24 transmits measured values to a central evaluation unit 32. The transmission takes place in particular via the Internet, which is why a transmission from the elevator car 11 or also from the building 9 in which the elevator installation 10 is located can be problematic. The mobile telephone 24 therefore stores the acquired measurement data until a transmission to the

Evaluation unit 32 is possible. The evaluation unit 32 checks on the basis of the acquired measurement data whether faults are present in the elevator installation 10 or whether maintenance of the elevator installation 10 is to be carried out.

The comparison between a measured movement pattern and a stored signal pattern and thus the recognition or classification of movement patterns can also be carried out with methods of so-called machine learning. For example, a support vector machine, a random forest algorithm or a deep learning algorithm can be used.

In addition, the transversal accelerations in the x, y and z directions can also be taken into account so that the movement pattern additionally contains the courses of the accelerations in the x, y and z directions.

It is also possible that the mobile telephone 24 does not perform the detection of entering an elevator car 11 completely on its own, but instead transmits the acquired data to the evaluation device 32 before the measurement data is measured. For this purpose, for example, in the building 9 intermediate stations not shown in the area of the elevator system 10 may be present, which is a transmission of the measured data for

Enable evaluation unit 32 safely. The detection of an entry of the elevator car 11 is then carried out by the evaluation device 32. Once entering the Area 31 of the shaft door 18a or entering the elevator car 11 is detected, the evaluation device 32 sends a corresponding signal to the mobile phone 24th

FIGS. 2a, 2b and 2c show a measured movement pattern and a stored signal pattern over time, wherein in FIG. 2a the rotation rates α are about the x-axis, in FIG. 2b about the y-axis and in FIG. 2c is shown around the z-axis. The measured rate of rotation is represented in each case by a solid line and the stored rates of rotation of the signal pattern in each case by a dashed line. The solid lines 26a, 26b, 26c thus represent the measured rotation rates and the dashed lines 27a, 27b, 27c represent the stored rotation rates about the x, y and z axes. The measured values are shown as smoothed.

The stored signal pattern (dashed lines 27a, 27b, 27c) contains typical gradients of rotation rates, such as occur when approaching a landing door and entering an elevator car. From the time t0 to the time tl, the passenger approaches the landing door to stop at the time t1 and wait for the opening of the manhole and car door until time t2. There are virtually no rotation rates. From the time t2, the passenger enters the elevator car and then turns in the direction of the car door. This reversal primarily results in a significant deflection of the yaw rates about the z-axis (line 27c), with a brief undershoot in the opposite direction at the beginning and end of the stroke. As can be seen in FIGS. 2a, 2b and 2c, the measured movement pattern follows

(solid lines 26a, 26b, 26c) quite exactly the stored signal pattern. The comparison of the movement patterns with stored signal patterns proceeds as described above. Due to this agreement, the mobile phone 24 concludes that the passenger 23 is in the area 31 of the landing door 18a or he has entered the elevator car 11.

Since not all persons move in the same way, ie, for example, turn around at different speeds, and, for example, waiting times are of different lengths, the measured movement pattern is not limited to one

Signal pattern, but compared with a whole series, slightly different signal patterns. In addition to the rotation rates, the accelerations in the x, y and z directions can also be taken into account in a comparable manner. In particular, running in the direction of the shaft door and into the elevator car, as well as the waiting in front of and in the elevator car can be identified more easily.

To the detection of entering a range of a landing door or a

To make the elevator car more reliable, in particular further measured values recorded by sensors of the mobile telephone are evaluated. The mobile telephone 24 detects, in particular with the three-dimensional magnetic field sensor, the magnetic field strength in the x, y and z directions. The measured values thus characterize a property of

Lift system. It is very difficult to conclude from measurements at a single time that the mobile phone and thus the passenger is in the area of a landing door or in an elevator car. For this reason, a property pattern is created from the temporal progressions of the three field strengths, the measured values being filtered in particular by means of a low-pass filter. The mobile phone 24 compares the continuous property pattern thus generated with stored signal patterns typical of a property pattern when approaching a landing door and entering an elevator car 11. If a sufficient match of a movement pattern with a stored signal pattern is detected, the mobile telephone 24 concludes that the passenger 23 is in the area 31 of the shaft door 18a or he has entered the elevator car 11. The comparison of the movement patterns with stored signal patterns proceeds as described above.

3a, 3b and 3c, a measured property pattern and a stored signal pattern over time is shown, wherein in Fig. 3a, the magnetic field strength H in the x direction, in Fig. 3b in the y direction and in Fig. 3 c are shown in the z direction. The measured field strengths are each shown with a solid line and the stored field strengths of the signal pattern each with a dashed line. The solid lines 28a, 28b, 28c thus represent the measured field strengths and the dashed lines 29a, 29b, 29c represent the stored field strengths in the x, y and z directions. The measured values are shown smoothed. The stored signal pattern (dashed lines 29a, 29b, 29c) includes typical waveforms of field strengths encountered in approaching a landing door and entering an elevator car. Shortly before until shortly after time t2 at which the passenger enters the elevator car, the field strengths in the y and z directions show a significant increase, whereas the field strength in the x direction remains virtually unchanged throughout the entire time. The change in field strengths is due in particular to the use of ferromagnetic materials in the elevator car. As can be seen in FIGS. 3a, 3b and 3c, the measured property pattern (solid lines 28a, 28b, 28c) follows the stored signal pattern quite accurately. This match is another indication to the mobile phone that the passenger has entered the elevator car. The comparison of the property pattern with stored signal patterns proceeds analogously to the above-described comparison of the movement patterns with stored signal patterns.

Signal pattern compared.

In addition, additional measured values, such as air pressure, brightness, humidity or carbon dioxide content of the air, can be taken into account.

A further increase in the reliability of detecting an entry of a section of a landing door or an elevator car can be achieved by additionally taking into account measured values which characterize an activity of the elevator installation. For example, from the above-described magnetic

Field strengths an activity pattern are derived, which is compared with a signal pattern that is typical for opening the cabin and landing door. Another possibility is to use the sound measured with the microphone

Derive activity pattern and compare this with a signal pattern that is typical for opening the cabin and landing door. As with the motion and property patterns, it may be useful to compare the activity patterns to multiple, slightly different signal patterns. A reasonable match between the measured activity patterns and a stored signal pattern can again be interpreted as an indication that the passenger is in the area of a shaft door or has entered an elevator car.

The cellular phone may be configured to detect entry of a bay door or elevator car area if there is a single sufficient match of a movement pattern, pattern of property, or activity pattern with a stored signal pattern. But it is also possible that an entrance is recognized only when there are at least two, three or more matches.

To detect an entry of a section of a landing door or a

To make elevator car more reliable, the stored signal patterns can be adjusted. With an adaptation, the method can be adapted in particular to the behavior of the owner of the mobile phone. For this purpose, the mobile phone recognizes in particular a ride in an elevator car. This can be detected very reliably by monitoring the acceleration in the z direction and thus in the vertical direction 13. In Fig. 4 is an example of the line 30 a course of

Acceleration a in z-direction shown upwards, the acceleration due to gravity is disregarded. The elevator car 11 and thus also the passenger 23 with his mobile telephone 24 are from the time t4 with a nearly constant

Acceleration accelerates. Just before the desired speed of

Elevator car 11 is reached, the acceleration decreases to reach the zero line at time t5. The elevator car 11 then travels at a constant speed until time t6, and then with a quasi-constant negative

Acceleration to be slowed down to the time t7. This typical course with acceleration in the vertical direction, constant travel and braking to a stop can be recognized very well in the measured values.

Once a trip has been detected in an elevator car, motion, activity and / or property patterns acquired prior to the trip are compared with stored signal patterns and, based on the comparison, the stored signal patterns are adjusted using machine learning methods. The stored signal pattern in the direction of the motion, activity and / or

Property pattern changed. Instead of evaluating measured values of the sensors of the mobile telephone 24 in order to detect that the mobile telephone 24 is located in the area 31 of the landing door 18a or inside the elevator car, the mobile telephone 24 can also arrange a signal from a position information device in the form of an elevator car 11 Beacons 33 received. In particular, the beacon 33 transmits a signal which only emits beacons in an elevator car. As soon as the mobile telephone 24 receives this signal, it knows that it is in the area of an elevator car 11. As soon as the signal strength of the received signal exceeds a first threshold value, the mobile telephone 24 recognizes that it is located in the region 31 of the shaft door 18a. As soon as the signal strength exceeds a second threshold value, the mobile telephone 24 recognizes that it is located inside the elevator car 11. Beacon 33 may also send a signal that identifies it. If the mobile phone 24 knows from which beacon it receives a signal, it can check, based on stored information, if that beacon is in an elevator car. It is also possible that it can request the information about the location of the beacon at an unrepresented information module.

Instead of the beacon 33, for example, the door control unit 21, so a component of the elevator system 10 emit a corresponding signal that is received by the mobile phone 24 and evaluated as described.

The mobile phone 24 may also determine its position within the building 9 in which the elevator installation is located. The mobile phone 24 thus has a so-called indoor navigation system. For this purpose, the indoor navigation system evaluates signals from a plurality of beacons, not shown, within the building 9 and determines therefrom the position of the mobile phone 24 within the building 9. By matching with a plan of the building 9 can be determined whether the terminal in the Area of the landing door 18a or in an elevator car 11 is located.

The mobile telephone 24 may also receive information about its position within the building 9 having the elevator installation 10 from a positioning system 34. The building 9, in which the elevator installation 10 is installed, in this case has the positioning system 34, which can determine the location of the mobile telephone 24. This positioning system 34 sends information about the Position of the mobile phone 24 to the mobile phone 24. This information can relate to the position within the building 9 and the mobile phone 24 can match the position with a plan of the building 9 and deduce whether it is in the area of the landing door 18a. It is also possible for the positioning system 34 to send corresponding information directly to the mobile telephone 24 when it is in the area of the landing door 18a or in the elevator car 11.

Instead of activating the measurement of the measurement data simultaneously with the activation of the measurement mode of the mobile telephone 24 as described above, the mobile telephone 24 may start and / or terminate the measurement of measurement values based on an external signal. This external signal is transmitted, for example, from the elevator control unit 22 at the beginning and at the end of a journey of the elevator car 11 to the mobile telephone 24.

For example, the external signal may also be sent only at the beginning of a journey and include the information about the anticipated duration of the upcoming trip. It is also possible that the external signal is sent before the start of the journey and contains the information as to how long it will take to start the journey. In addition, the probable duration of the journey can also be transmitted here.

It is also possible that mobile telephone 24 already monitors measured values in the measuring mode by means of at least one sensor which characterize movements of the mobile telephone 24. It starts the acquisition of measured values when a starting condition which is dependent on at least one measured value is fulfilled and terminates the detection of

Measured values if an end condition dependent on at least one measured value is fulfilled.

As already described above, FIG. 4 shows a typical course of the acceleration in the z direction when the elevator car 11 is traveling upwards. The measurement of the measured values is started when the acceleration is a first

Acceleration threshold 35 exceeds and thus meets a start condition. The measurement of the measured values is ended when the acceleration is a second

Acceleration threshold 36 has fallen below and then exceeds a third acceleration threshold 37 and thus meets an end condition. Alternatively or additionally, the air pressure measured by a barometer can also be evaluated to detect a journey in an elevator car and the fulfillment of start and end conditions can be checked. A start condition may be, for example, that the amount of the gradient of the air pressure exceeds a first gradient threshold. An end condition could then be, for example, that the amount of the gradient of the air pressure falls below a second gradient threshold.

Finally, it should be noted that terms such as "comprising," "comprising," etc., do not exclude other elements or steps, and terms such as "a" or "an" do not exclude a variety. It should also be appreciated that features or steps described with reference to any of the above embodiments may also be used in combination with other features or steps of other embodiments described above. Reference signs in the claims are not to be considered as limiting.

Claims

claims

1. A method for monitoring an elevator installation, in which

by means of a mobile terminal (24) having a sensor (25)

Measured values are recorded in an elevator car (11),

- The acquired measured values from the mobile terminal (24) to a central

Transfer from evaluation unit (32) and

- The transmitted measured values are evaluated by the evaluation unit (32), characterized in that

- The mobile terminal (24) a measurement mode is activated, so for a

Makes detection of measured values ready when it detects that it is in the area (31) of a shaft door (18a, 18b, 18c) of the elevator installation (10).

2. The method according to claim 1,

characterized in that

the mobile terminal (24) activates the measurement mode when it detects that it is inside an elevator car (11).

3. The method according to claim 1 or 2,

characterized in that

the mobile terminal (24) receives a signal from one to determine its position

Position information device (33) receives and evaluates.

4. The method according to claim 1, 2 or 3,

characterized in that

the mobile terminal (24) determines its position within a building (9) having the elevator installation (10) and deduces whether it is located in the area (31) of a shaft door (18a, 18b, 18c) of the elevator installation (10).

5. The method according to claim 1, 2 or 3,

characterized in that

the mobile terminal (24) information about its position within the

Elevator (10) having building (9) from a position determining system (34) receives and deduces whether it is in the area (31) of a shaft door (18a, 18b, 18c) of the elevator system (10).

6. The method according to any one of claims 1 to 5,

characterized in that

the mobile terminal (24) detects measured values by means of at least one sensor (25) which identify movements of the mobile terminal (24) and recognizes, on the basis of these measured values, whether in the area (31) of a shaft door (18a, 18b, 18c) Elevator system (10) is located.

7. The method according to claim 6,

characterized in that

a movement pattern (26a, 26b, 26c) of the mobile terminal (24) is derived from the measured values, compared with at least one stored signal pattern (27a, 27b, 27c), and the recognition as to whether the terminal (24) is located in the area (31) a landing door (18a, 18b, 18c) is made on the basis of said comparison.

8. The method according to any one of claims 1 to 7,

characterized in that

the mobile terminal (24) acquires measured values by means of at least one sensor (25) which characterize an activity of the elevator installation (10) and recognizes from these measured values whether the area (31) of a shaft door (18a, 18b, 18c) of the Elevator system (10) is located.

9. The method according to claim 8,

characterized in that

an activity pattern is derived from the measured values, compared with at least one stored signal pattern, and the recognition as to whether the terminal (24) is located in the area (31) of a landing door (18a, 18b, 18c) is based on said comparison.

10. The method according to any one of claims 1 to 9,

characterized in that

the mobile terminal (24) acquires measured values which characterize the surroundings of the mobile terminal (24) and, on the basis of these measured values, detects whether it is in the area of a shaft door (18a, 18b, 18c) of the elevator installation (10). located.

11. The method according to claim 10,

characterized in that

a property pattern (28a, 28b, 28c) is derived from the measured values, compared with at least one stored signal pattern (29a, 29b, 29c), and the recognition as to whether the terminal (24) in the area (31) of a landing door (18a, 18b , 18c), based on said comparison.

12. The method according to any one of claims 1 to 11,

characterized in that

the mobile terminal (24) also starts measuring measurements with the activation of the measurement mode.

13. The method according to any one of claims 1 to 11,

characterized in that

the mobile terminal (24) starts and / or ends the measurement of measured values on the basis of an external signal.

14. The method according to any one of claims 1 to 11,

characterized in that

the mobile terminal (24) monitors measured values by means of at least one sensor (25) which identify movements of the mobile terminal (24) and

the measurement of measured values starts when a starting condition which is dependent on at least one measured value is fulfilled and / or

the measurement of measured values ends when an end condition dependent on at least one measured value is satisfied.