WO2016193079A1 - Surveillance d'un système d'ascenseur - Google Patents

Surveillance d'un système d'ascenseur Download PDF

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Publication number
WO2016193079A1
WO2016193079A1 PCT/EP2016/061740 EP2016061740W WO2016193079A1 WO 2016193079 A1 WO2016193079 A1 WO 2016193079A1 EP 2016061740 W EP2016061740 W EP 2016061740W WO 2016193079 A1 WO2016193079 A1 WO 2016193079A1
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WO
WIPO (PCT)
Prior art keywords
signal
comparison data
data record
data set
comparison
Prior art date
Application number
PCT/EP2016/061740
Other languages
German (de)
English (en)
Inventor
Claudio De Angelis
Original Assignee
Inventio Ag
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 Inventio Ag filed Critical Inventio Ag
Publication of WO2016193079A1 publication Critical patent/WO2016193079A1/fr

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Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0275—Fault isolation and identification, e.g. classify fault; estimate cause or root of failure
    • G05B23/0278—Qualitative, e.g. if-then rules; Fuzzy logic; Lookup tables; Symptomatic search; FMEA
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B66—HOISTING; LIFTING; HAULING
    • B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
    • B66B5/0006—Monitoring devices or performance analysers
    • B66B5/0018—Devices monitoring the operating condition of the elevator system
    • B66B5/0025—Devices monitoring the operating condition of the elevator system for maintenance or repair
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/26—Pc applications
    • G05B2219/2621—Conveyor, transfert line
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/20—Pc systems
    • G05B2219/26—Pc applications
    • G05B2219/2659—Elevator

Definitions

  • the invention relates to a method for monitoring an elevator installation.
  • the invention furthermore relates to a device, which is also referred to below as a monitoring device, for monitoring and / or diagnosing such an elevator installation in accordance with the monitoring method and to an elevator installation which is designed and set up to carry out the method.
  • DE 10 2011 009 362 A describes a method for monitoring an escalator. Recorded operating data is compared with normal operating data. For example, an operating sound is determined to be normal if its sound volume is within a range specified for the normal state, and is considered abnormal if this range is exceeded or undercut.
  • WO 2014/200457 A describes a method for monitoring an elevator installation which is likewise based on the acquisition of sound data during operation of the elevator installation.
  • sound data is recorded at different times and a comparison is to reveal changes.
  • Detected temporal changes in the sound data are used to issue preventive maintenance instructions.
  • any error situations should also be recognizable by the presence or absence of noise in the recorded sound data.
  • DE 10 2011 009 362 A apparently proposes complementarily to record sound data simultaneously in relation to a fixed and a movable part of the conveyor belt. Then, based on a comparison of the sound data, there should be an indication of a cause of the error. It seems to be necessary for the sound data to be recorded when the moving part moves past the fixed part, and that the sound data at that moment are sufficient for detection of an error. are characteristic. These conditions seem to allow only the detection of very specific error situations.
  • US 2011/240414 proposes a system for monitoring an elevator, wherein signals of the elevator, such as a sound history, are output in conjunction with operating data and a reference signal course of the elevator. These data are made available to a service employee or an expert for a diagnosis upon detection of a relevant deviation.
  • an object is to provide a method as well as a device operating according to the method, which in a simple manner not only allows recognition of an already given or imminent fault or other exceptional situation of elevator installations, but also an output of a potential cause of failure.
  • At least one signal pattern profile is recorded in relation to the elevator installation, that at least one comparison data record is stored in a database and that the comparison data record contains expected values or at least an expected value and associated with each or with this expected value References to at least one component comprised by the elevator installation.
  • a signal data record or alternatively at least one signal value is generated from the signal pattern progression by means of a device or the corresponding monitoring device intended therefor. The signal data set or the at least one signal value is compared with the comparison data record or at least one of the expected values.
  • the data in the comparison data record becomes or becomes one digit of the deviation and / or component referenced to the expected value is output as the source of the deviation.
  • the advantage of the method proposed here is that not only a possibly existing or imminent error or other exceptional situation can be detected in the elevator system, but rather that also a component or a potential component can be output as the source of the error, so that maintenance personnel can directly examine individual components of the elevator installation and, if necessary, service or replace them or prepare them for replacement on the basis of an output of the verification procedure.
  • the method is carried out automatically.
  • Another advantage is that no or little intervention in the respective elevator installation is necessary for an application of the method, so that a corresponding equipment of the elevator installation and also a retrofit are simple and inexpensive.
  • the recording of signal pattern progressions can take place by means of microphones or other sensors, for example vibration sensors, which are mounted in the elevator installation.
  • the processing of a recorded signal pattern course or the generation of the corresponding signal data set or of the at least one signal value, comparison with a stored comparison data record and access to data stored there to potential Bauteiln can be done by means of a monitoring device in the form of a standard computer.
  • the transmission of a recorded signal pattern course to such a computer can be conducted by line, but also on a wireless path, so that, for example, in the case of retrofitting not even an additional wiring in the elevator system is required.
  • a monitoring device usually used for controlling and / or monitoring the elevator system anyway existing control device, but also a device independent thereof use. It even comes into consideration that acts as a monitoring device, a mobile device that is carried by the maintenance personnel, for example, a mobile device in the form of a laptop or in the form of increasingly powerful tablet computers, smartphones or the like.
  • the comparison of the signal pattern profile or the generation of the corresponding signal data record or of the at least one signal value with a comparison data record need not necessarily be carried out locally at the location of the respective elevator installation. Rather, the evaluation can also by means of a for example a location of the manufacturer of the elevator installation or a location of a company entrusted with the maintenance of the elevator installation, for example a computer.
  • recorded signal pattern traces can be transmitted from the respective elevator system in electronic form with conventional telecommunications services, for example as actual sound data via telephone lines or as part of an email or the like via data lines. By means of such a device, a plurality of elevator systems can be monitored.
  • At least one reference signal waveform is recorded with respect to the elevator system, the comparison data record resulting in part on the basis of the at least one reference signal waveform.
  • the comparison data set resulting from the reference signal waveform also includes, in addition to the expected values already determined on the basis of the at least one reference signal curve, time points or time segments that relate to the reference signal waveform. At least one expected value and one reference to at least one component included in the elevator installation is linked to each time or time segment.
  • the comparison data record is advantageously formed according to the functional units or the functional sequence.
  • the respective functional unit or the sequence of individual components is entered manually, for example, during the generation or generation of the comparison data record.
  • the manufacturer of the elevator installation can provide a standard comparison data record which contains a chronological sequence of characteristic signal events and the corresponding components. During commissioning If necessary, the standard comparison data record can be adapted and saved as a comparison data record.
  • the comparison data record thus includes time points or time sections as well as expected values assigned to these points in time or time sections and references linked to each time point or time section to at least one component encompassed by the elevator installation. These time points or time segments thus form positions in the comparison data record to which specific components and expected values are assigned.
  • signal values are now determined for monitoring for the time points or time segments determined in the comparison data record in the elevator installation. This may be, for example, an averaged value measured over a period of time, or it may be a duration over which a particular value is measured, or it may be a combination of such measurements.
  • This signal value is compared with the expected value entered in the comparison data set and, in the case of a relevant deviation, the component referenced in the associated entry of the comparison data set, which is also referred to as the position of the deviation, is output as the source of the deviation and thus as the probable source of error.
  • the advantage of this embodiment of the monitoring method is that a substantial part of the comparison data set, namely the expectation values covered thereby, arises on a deterministic basis, while otherwise also manual specification of the data covered by the comparison data record is possible.
  • the use of a reference signal waveform as a basis for the comparison data record has the advantage that the comparison data record or even a plurality of comparison data records can be or can be generated.
  • a suitable reference signal curve that is, for example, a reference waveform, which was recorded at the time of proper operation of the respective elevator system, in particular in connection with or following their commissioning or maintenance, comparative values are guaranteed which adequately and without proper functioning represent the risk of manual incorrect entries or the like.
  • the comparison record can also be created manually.
  • a comparison data record is provided in the manufacturing plant on the basis of sample systems, which can be adopted for similar elevator systems without the need to record a reference signal course.
  • the comparison data set results for at least one expected value in the form of a result of a processing of the reference signal profile at the respective time or in the respective time segment and time for each time or time segment associated with a functional unit of the elevator installation associated components.
  • the advantage of such a generation of the comparison data record consists in the reduction of the data volume of the reference signal waveform to individual expected values associated with a respective time or a time segment of the reference signal waveform. The comparison data set can thus be stored simply and easily.
  • an expected value stored in the comparison data record is an average value and / or a signal duration.
  • Such expected values describe a signal event well and clearly.
  • a longer or shorter signal duration compared to a corresponding expected value in a currently recorded signal pattern indicates, according to experience, as well as a reduced or increased average value of the signal event level, an exceptional situation in the elevator installation, for example an existing or approaching error.
  • the signal pattern profile for or during comparison with the comparison data record is subjected to the same processing as previously the reference signal profile for determining the comparison data record.
  • a signal data record is generated from the signal pattern progression.
  • This signal data record essentially corresponds to the comparison data record.
  • the signal pattern profile is preferably recorded automatically at predefined or predefinable points in time.
  • the generation of the signal data record and the comparison of the signal data record with the associated comparison data record and in the event of a deviation, the subsequent output of a component or a functional unit as the causer is preferably also automatically or also at predetermined or predetermined times, for example, following the recording of the signal pattern course or performed synchronously or asynchronously to the recording of the signal pattern course.
  • predetermined or predeterminable times also means a fixed time or fixed times or times resulting from regular monitoring intervals, as well as times that are related to the operation of the elevator installation. In the case of the latter, the respectively resulting times at which the monitoring is carried out are predetermined by an event or a state of the respective elevator installation. With the occurrence of the respective event or with the achievement of the respective state, the monitoring is triggered.
  • the actuation of a control element or the generation of a start command triggered thereby can be used to execute an elevator journey.
  • This calls, for example, the functional unit drive.
  • the elevator travel taking place after the event is then detected completely or partially in the form of the signal pattern course and this can finally be evaluated with regard to an associated comparison data record, for example the comparison data record assigned to the functional unit drive.
  • a specific switching state of switching elements of the control of the elevator system apply. On the basis of such a condition, a necessary subsequent status results due to the system functionality of the elevator installation.
  • the transition from the triggering state to the subsequent state is then detected in whole or in part in the form of the signal pattern course and this can finally be evaluated with regard to an associated comparison data record.
  • a synchronous generation of the signal data record and comparison with the associated comparison data record and in the event of a deviation the subsequent output of the corresponding component as the source of the deviation has the advantage that the comparison result and a component cause a possible deviation between the signal data record and the comparison data record very quickly, namely shortly after the end of the recording of the signal pattern course, is available.
  • a asynchronous generation of the signal data record with the recording of the signal pattern profile and comparison with the associated comparison data record and in the case of a deviation the subsequent output of the component as a source of the deviation has the advantage that little computing power is required because the computing power can be distributed over a longer period.
  • a subsequent generation of the signal data set to be performed at predefined or predefinable times and comparison with the associated comparison data record and, in the case of a deviation, the subsequent output of a component can be considered, for example, if the evaluation of the respective recorded signal pattern profile is carried out, for example, by means of a maintenance expert mobile device, for example by means of a laptop, smart phone or tablet computer.
  • the maintenance specialist is not necessarily permanently with the respective mobile device at the location of the respective elevator installation, so that a recorded signal pattern course or recorded signal pattern courses are initially stored locally, for example in a memory of a control unit of the elevator installation, and from there to Further evaluation is transferred into a memory of the mobile device, for example, automatically, when it is connected to the control device or enters a reception area of a transmitter connected to the control device for the transmission of such data without wires, or semi-automatically, when the transmission through the User of the device.
  • this variant of the method comes into consideration, for example, if the evaluation of the signal pattern pattern recorded in each case is to take place by means of the monitoring device of the elevator installation, but outside usual peak times when using the elevator installation.
  • the variant of the method outlined above also comes into consideration if the evaluation is carried out by means of a device located, for example, at a location of the manufacturer of the elevator installation or a location of a company entrusted with the maintenance of the elevator installation, ie for example by means of a computer in a maintenance center , is carried out and for a recorded signal pattern course or recorded signal pattern courses on request, for example, according to a predetermined or predetermined time grid, and is transmitted by means of telecommunications or be.
  • the data transmitted to the mobile device or the device in the maintenance center either includes one each currently recorded signal pattern course or each currently recorded signal pattern history and the associated comparison data set.
  • at least the comparison data record is already stored in the respective device, so that in each case only the current signal pattern progression or each signal pattern profile recorded since the last polling is transmitted.
  • At least one generated signal data record is stored as an additional comparison data record.
  • a change rate exceeding a predetermined or predefinable limit value is evaluated as a deviation between the signal data record and the at least two comparison data records or their signal values and expected values.
  • the simultaneous monitoring of an exceeding of predetermined limit values is provided so that an error message is very well triggered if the wear corresponds to the limit value.
  • a pattern of sound patterns or a temporal profile of vibrations or structure-borne noise are recorded as the signal pattern profile.
  • a signal pattern course in the form of a sound pattern course can be detected particularly easily by means of a microphone which then functions as a signal recording device.
  • a signal pattern course in the form of recorded vibrations or structure-borne noise can also be detected comparatively easily with a corresponding sensor system. In any case, such sensors or microphones are easy to install in and on the elevator system, do not interfere with or affect their operation and are also very inexpensive and also suitable for a wireless transmission of each recorded data.
  • the object mentioned at the outset is likewise achieved by means of a monitoring device functioning as a device for carrying out the method.
  • the monitoring device is characterized in that it comprises means for carrying out the method as described here and below, and insofar as handle is used "automatically", it is to be understood that the respective action is performed by the respective monitoring device or at least under its control.
  • the aforementioned means are a processing unit in the form of or in the manner of a processor, preferably a microprocessor, a memory and a computer program which can be loaded into the memory and functions as a control program and a comparator, in particular a comparator implemented in software and thus as a subfunctionality of the control program, for evaluating a recorded signal pattern by comparing the corresponding signal data set with at least one comparison data record and for identifying a component in the case of
  • the monitoring device may be a control device, as is usually provided for controlling the respective elevator installation anyway currency form is then an additional functionality of the controller.
  • a separate device may also act as a monitoring device, for example a device which is installed in addition to the control device at the location of the elevator installation or a mobile device or a device at the location of a maintenance center as described above.
  • the data base which accommodates the comparison data record can be applied in an embodiment in the memory, which also serves to store the signal pattern profile, or alternatively it can be created in its own memory.
  • the approach proposed here comprises on the one hand also a computer program with program code means to carry out all steps of the method as described here and below when the computer program is executed on a monitoring device for monitoring an elevator installation, and on the other hand a storage medium with such a computer program, ie a computer program product with program code means, and finally also a device functioning as a monitoring device, in the memory of which such a computer program is loaded or loadable as means for carrying out the method and its embodiments.
  • an elevator installation with at least one signal recording device for recording a signal pattern profile with respect to the elevator installation and with a monitoring device as described here and below, wherein a memory accommodated in a memory encompassed by the monitoring device or accessible by the monitoring device
  • Signal pattern history or the corresponding signal data set stored or at least one comparison data set is stored in a database, the comparison data set comprising expected values and references to at least one component comprised by the elevator installation, wherein by means of the monitoring device, in particular by means of a comparator included by the monitoring device and optionally implemented in software in the case of deviations by means of the processing unit in the comparison data set, the affected component or the location of the deviation is determined and the component assigned to this position can be output as the source of the deviation.
  • FIG. 1 shows an elevator installation
  • FIG. 2 shows a signal pattern profile, as it can be recorded during the monitoring
  • FIG. 3 shows a symbolic representation of a signal data record as can be derived from the signal pattern profile of FIG. 2,
  • FIG. 4 shows a reference signal course, for example a reference signal course in the form of a sound pattern course based on a noise or a plurality of noises
  • FIG. 5 shows a visualized comparison data set as can be derived from the reference signal course of FIG. 4,
  • FIG. 6 shows another illustration of the comparison data set according to FIG. 5 with further details
  • FIG. 7 shows a monitoring device with comparator for comparing a signal data record with an associated comparison data record
  • FIG. 8 shows a database with a plurality of comparison data records stored there
  • FIG. 9 shows the elevator installation according to FIG. 1 with a mobile monitoring device.
  • FIG. 1 shows an example of an elevator system 10 in a schematically simplified form a basically known elevator system with a lift shaft in an elevator shaft 12 between floors 14 or other holding positions of a building movable elevator car 16 and a moving in a movement of the elevator car 16 counterweight 18.
  • the elevator installation is shown in the drawing with only one elevator car 16, the approach proposed here is equally applicable to more complex elevator systems with several elevator shafts 12 and / or more elevator cars 16.
  • Other examples of elevator systems 10 to which the description provided herein refers are a traveling or escalator, a moving walkway or the like (not shown).
  • a control cabinet 20 with switching or drive contactors 22 and an associated control device are provided.
  • the controller may include a microprocessor or the like in a manner known per se.
  • the control device determines and controls the elevator installation 10.
  • a monitoring device 24 having at least one memory 26 and a processor 29 is arranged.
  • the memory 26 includes a database 70 and the processor 29 is configured to execute a computer program 28.
  • the monitoring device 24 with memory 26 and processor 29 may possibly also be provided as a control device for controlling the elevator installation 10. That is, the monitoring device 24 with memory 26 and processor 29 and the control device for controlling the elevator installation 10 can be assembled.
  • At least one signal recording device 30, for example a signal recording device 30 in the form of a microphone 30, is placed.
  • a signal recording device 30 in the form of a microphone 30 is placed.
  • any mention of the term "microphone” is to be read as a "signal recording device, for example a signal recording device in the form of a microphone”.
  • Other examples of signal recording devices 30 are sensors by means of which vibrations or so-called structure-borne noise of a part of the elevator installation 10 can or can be detected.
  • the elevator system 10 As part of the elevator system 10 are both parts of the construction of the system 10, so for example supports, struts and the like, as well as units or other functional units of the system 10, so for example a drive unit 32, a braking device, an electrical device and the like, Understood.
  • a microphone 30 may be spatially assigned to a drive unit 32.
  • Another microphone 30 may be attached to the floor of the elevator car 16, for example.
  • Other microphones 30 may be associated with so-called floor and car doors 34, 36 and are associated with them in the illustrated example.
  • another microphone 30 may be spatially assigned to the control cabinet 20 and electromechanical switching elements there, for example the aforementioned drive contactors 22, and is assigned to it or these in the illustrated example.
  • each microphone 30 or other signal recording device 30 By means of each microphone 30 or other signal recording device 30, during operation of the elevator installation 10, a noise resulting during operation of the elevator installation 10 or a vibration or the like resulting during operation of the elevator installation 10 can be recorded.
  • the recorded noise or signal is transmitted in a basically known manner on a line-less or line-bound path, for example within the elevator installation 10 to the monitoring device 24 and stored there in digitized form, for example in the memory 26.
  • the monitoring device 24 effects the execution of the method proposed here.
  • the data stored so far are referred to below as a sound pattern course or generally as a signal pattern course 40 and the illustration in FIG. 2 shows by way of example a typical representation of a possible sound pattern. pattern course, in which the time on the abscissa and the so-called sound pressure are plotted on the ordinate.
  • the exemplary signal pattern course 40 begins at a time t0 and it can be various temporally successive signal events 42, so for example, sound events detect.
  • the temporally successive signal events 42 correspond to the following times t1 .... t6.
  • a signal pattern course 40 with distinguishable signal or sound events 42 results on various occasions during operation of an elevator installation 10, thus, for example, when opening and closing the landing and car doors 34, 36, when moving the elevator car 16 in the elevator shaft 12, when switching mechanical switching elements in Control cabinet 20, in particular when switching drive contactors 22 located there, etc.
  • the sequence of switching elements and actuation of mechanical elements generates the temporally successive signal events 42, which then occur or should occur at respectively expected times tl ... t6.
  • Each signal pattern course 40 is recorded by means of a microphone 30 or another signal recording device 30, for example under control of the monitoring device 24 at predetermined or predefinable points in time. Accordingly, for example, a signal pattern course 40 picked up by means of a microphone 30 associated with a floor door 34 is, for example, at the latest from a first movement of the landing door 34 or at an approach of the elevator car 16 to a hold position in the respective floor 14 or at a start command for carrying out an elevator ride, etc recorded. It is essential that a signal pattern course 40 picked up by means of a specific microphone 30 is always recorded at the same time points related to the operation of the elevator installation 10. A starting point of the recording of the signal pattern course 40 starts in each case at the time tO.
  • a plurality of signal pattern courses 40 can be recorded at different times, in each case related to the operation of the elevator installation 10, by means of a microphone 30.
  • the resulting signal pattern curves 40 are then preferably each considered as independent signal pattern curves 40.
  • Such a signal pattern course 40 thus starts, for example, when the elevator car 16 approaches a holding position.
  • Another signal pattern course 40 then starts, for example, in the case of an opening command for opening the cabin and landing door.
  • These two signal pattern curves 40 are evaluated, for example, as independent signal pattern curves.
  • These two signal pattern curves 40 can in another embodiment (not shown) are also combined to form a coherent signal pattern course 40 and evaluated together.
  • the recording of a signal pattern course 40 during operation of the elevator installation 10 is initiated, for example, by the monitoring unit 24 by recording a current signal pattern profile 40 in each case when the time t0 of the above-mentioned type is related to the operation of the elevator installation 10.
  • the recording of a signal pattern course 40 is triggered.
  • a recorded signal pattern course 40 is initially stored, for example in the memory 26, and evaluated only at a later time, for example by means of a mobile or external device.
  • the reference waveform 44 is preferably at a recording of operation of the elevator system 10, for example, during a commissioning process or after a revision of the elevator system with exactly that microphone 30th recorded at the respectively predetermined or predefinable time, with or to which subsequently during the further operation of the elevator installation 10 a current signal pattern course 40 is recorded.
  • the reference signal course 44 also includes a number of detectable signal events 42.
  • the reference signal course 44 like the signal pattern course 40, is recorded at a defined time tO related to the operation of the elevator installation 10, but if the surveillance is installed or updated and activated and the elevator installation 10 is in one perfect condition is.
  • the respective time predetermines the time at which later in operation of the elevator installation 10 a respective current signal pattern course 40 is recorded.
  • the underlying same starting times t0 make in principle comparable the reference signal course 44 and a signal pattern course 40 recorded later.
  • the reference signal waveform 44 thus acts in the Essentially as the basis for an evaluation of a signal pattern course 40 recorded during operation of the elevator installation 10.
  • comparison data set 46 A schematically simplified representation of the content of a comparison data set 46 based on a reference signal waveform 44 is shown in the representation in Figure 5. The further description is accordingly - but without waiving further generality - continued on the basis of at least one recorded Referenzsignalverlaufs 44 comparison data record 46.
  • the illustration in FIG. 5 shows, by way of example, that the comparison data record 46 results on the basis of the reference signal course 44, in that the comparison data record 46 comprises at least one result of a processing of the reference signal profile 44 for each signal event 42. Shown is the result of such processing by way of example in the form of temporally successive and differently wide and differently high square pulses.
  • Each rectangular pulse belongs to a signal event 42 in the reference waveform 44 and is also designated in the illustration by its reference numeral.
  • the temporal sequence of the rectangular pulses accordingly results on the basis of the time sequence t1... T6 of the respectively underlying signal events 42.
  • the width of each rectangular pulse is correlated with a duration of the respective signal event 42 (signal duration) in the reference signal course 44.
  • each rectangular pulse correlates, for example, with an average, in particular a root mean square or an average of the absolute values of the levels of the signal event 42 in the reference waveform 44. Another possibility is that the height of each square pulse with the area below the signal event 42 in the reference waveform 44 , ie an integral over the signal event 42, is correlated. It is essential that in the embodiment shown, due to the processing of the reference signal waveform 44, a plurality of comparison data results, namely in each case one time and / or time section 50 (FIG. 5) and at least one numerical value. The at least one numerical value is recorded during the evaluation of an operation of the respective elevator installation 10. based signal pattern course 40 and represents a desired or expected values 52 ( Figure 5) to each a signal event 42.
  • the expected value 52 is thus, for example, a height of the rectangular pulse of the underlying signal event 42, as explained above.
  • Another or additional expectation value 52 is, for example, the duration of the underlying signal event 42 or is an integral over the signal event 42.
  • an evaluation of a signal pattern progression 40 on the basis of only one such as expected value 52 is possible and expedient.
  • the comparison data record 46 is created and stored essentially once upon commissioning of the elevator installation or after a revision or repair via a reference signal course 44, in accordance with the preceding explanation.
  • the comparison data set or parts thereof can already be predefined or predefined by the manufacturing plant of the elevator installation.
  • the data record can be prepared on the basis of a pattern system with the time sequence of signal events from the production plant.
  • the expected value 52 is then entered on the basis of a recorded reference signal curve 44.
  • the expected value 52 may be different because of building-specific properties of elevator installation to elevator installation. At most, of course, predicted expected values 52 can also be pre-entered in the manufacturing plant. These predicted expected values 52 can then at best be corrected during commissioning. Accordingly, different sets of data are provided for different types of elevator installations. Building-specific characteristics here are different installation situations, such as open spaces, reverberant environment, etc.
  • the signal data set 48 contains signal values 55 which correspond to the expected value 52, ie which are defined according to the same criteria (for example a height, an integral value and / or a duration of the signal event).
  • the signal values 55 of the signal events t1, t2, t4, t5 agree well with the corresponding expected values 52 of the comparison data set 46, but the signal value 55 of the signal event t3 corresponding to FIG Time or period T3 is assigned, is different. It can To give a service center a direct input for performing maintenance work.
  • FIG. 6 shows two representations of the comparison data record 46, namely on the one hand (in the upper area) the representation already shown in FIG. 5 in the form of a graph and on the other hand (below the representation according to FIG. 5) in the form of a table with a plurality of entries.
  • the tabular representation with a plurality of entries explains the designation as a comparison data record 46, because the entirety of the entries forms the respective comparison data record 46 with comparison data arranged in rows and columns with time sections 50 and expected values 52.
  • the representation in the form of a graph is rather than illustrative Representation of the contents of a comparison data record 46 to understand.
  • the comparison data 50, 52 belong to a respective underlying signal event 42 and accordingly in the representation in FIG. 6 a group of comparison data 50, 52 is also designated by the reference number of the signal event 42.
  • the comparison data record 46 comprises according to FIG. 6 in the form of a table (look-up table) in individual columns time points or time sections 50 (T1, T2,...) And their respectively associated expected values 52 ([T1E1, T1E2], [T2E1, T2E2], ).
  • the symbolic identifiers TnE1, TnE2 (“E” for "expected value") denote the expected values 52 resulting from the processing of the reference waveform 44 and one signal event 42, respectively.
  • a first expected value 52, denoted TnE1 in Figure 6 may be a magnitude of the signal event and another expectation value 52, denoted as TnE2 in FIG. 6, may be an integral over the signal event 42. Additionally or alternatively, a duration of the signal event may also form an expected value 52.
  • each row of the table (of the comparison data record 46) belongs to an underlying signal event 42 and each row includes data for at least one component 56 (T1V, T2V,...) Of the respective signal event 42, in addition to the comparison data 50, 52
  • Signal event 42 is linked to one or more components 56 of the elevator installation 10 which are responsible for the signal event 42.
  • the referencing of a component 56 in the comparison data record 46 takes place, for example, by means of a numerically value that uniquely identifies it, an address, a short designation or the like.
  • the comparison data set 46 may also directly comprise a text naming and / or descriptive of the respective component or a reference to such.
  • the data for a component 56 are in the creation or the Generation of the comparison data record 46, for example manually entered.
  • comparison data record 46 it is known to which component 56 of the elevator installation 10 a signal event 42 is to be assigned.
  • An associated group of components forms the functional unit or a corresponding functional sequence.
  • corresponding data for respectively eligible components 56 can be assigned to the comparison data record 46 or the functional unit.
  • a component 56 can also be assigned to a plurality of comparison data records 46.
  • the comparison data 50, 52 and in each case at least one component 56 in rows its organization into columns is of course also possible.
  • the data structure on which the comparison data record 46 is based can also be any other data structure by means of which data groups (comparison data 50, 5, components 56) and their affiliation can be represented, that is, for example, a data structure based on so-called linked lists.
  • signal event 42 The description of individual component 56 of the respective elevator installation 10 as signal event 42 is obvious. If, for example, one of the contactors 22 drops or picks up in the control cabinet 20, a noise / signal event 42 can be detected by means of the microphone 30 in the control cabinet 20.
  • the signal event 42 or - in the case of several successive switching operations of a contactor 22 or a group of contactors 22 - several signal events 42 is or are thus part of a signal pattern course 40 recorded in the control cabinet 20 and likewise a reference signal course 44 recorded earlier in the control cabinet 20.
  • each signal event 42 can signal one Contactor 22 are assigned as causative component 56 and a respective switching operation, so that in the preparation of the comparison data set 46, the candidate components 56 can be entered manually, for example.
  • the fact that the abovementioned times are known results from the fact that the switching operations of the contactors 22 or other switching elements are the cause of individual concrete process sequences in the operation of the respective elevator installation 10 and, accordingly, the sequence of switching operations of the individual switching systems.
  • Examples of signal events 42 outside the control cabinet 20, that is, for example, signal events 42, which can be recorded during operation of an elevator installation on a car door 36 of an elevator car 16, are movement and contact noises of mechanical components such as, for example, the contact contact of the so-called sword Cabin door 36 and the locking rollers of the associated floor door 34 in the process of door opening and closing, bearing noise of the so-called hook bolt, noise in connection with a subsequent venting or closing the door contacts and the subsequent door opening and sc Close with rolling noise of the door leaves and possible grinding noise of the door guides.
  • each contain components 56 as the cause of signal events 42 and can each be recorded in separate comparison data records 46. Even with such components 56, the times and / or time periods at which corresponding signal events 42 are expected, for the same reasons as explained above the example of the contactors 22, basically known. Accordingly, in a signal pattern course 40 and in a reference signal course 44, which is usually recorded earlier, each signal event 42 can be assigned to a component 56 or, in the case of simultaneous or temporally overlapping signal events 42, at least one group of components 56.
  • the general awareness of the times and / or time periods at which signal events 42 are expected also explains why the comparison data set 46 can in principle also arise due to, for example, manually entered data.
  • the manually entered data are, for example, the known times and / or time periods as well as measurement, estimation or empirical values for the height, the integral and / or the duration of the individual signal events 42 and finally refer to the respective functional units of the elevator installation 10
  • the variant described here in which the comparison data record 46 results on the basis of a reference signal course 44 is thus expressly only an example.
  • the comparison data record 46 can be defined as far as possible by the manufacturing plant.
  • An evaluation of a recorded signal pattern course 40 takes place in the form of a comparison of the respective signal pattern profile 40 with a respectively associated comparison data record 46.
  • the signal data record 48 is generated in the example by means of a preprocessing unit 62 from the signal pattern course 40, analogously to the previously described generation of the comparison data record 46 from the reference signal course 44.
  • the evaluation takes place by means of the control device 24 and by means of a comparator 60 (FIG. 7) loaded into the memory 26 as a component of the computer program 28 and implemented in software, ie a comparison algorithm.
  • FIG. 2 shows, by way of example, the signal pattern progression 40 and the signal events 42 included in it and in chronological succession.
  • Each of the six signal events 42 can have a time, namely a start time or a characteristic time t1, with respect to a start time / starting point t0 of the recording of the signal pattern progression 40.
  • t2, t3, t4, t5 and t6, or a period Tl, T2, etc. are assigned.
  • the signal events 42 to the signal data set 48 can be compressed.
  • FIG. 7 shows, schematically simplified, a comparator 60, for example a comparator 60 in the form of a comparison algorithm implemented in particular as a component of the computer program 28 in software.
  • the preprocessing unit 62 performs essentially the same processing steps as explained above in the description of the preservation of the comparison data record 46, thus, for example, the determination of an average value or a quadratic mean value for the respective signal event 42. This results in at least one signal value 55 or each signal value 55 on the basis of the signal pattern course 40 can be compared with the corresponding expected value 52 of the comparison data record 46.
  • the comparator 60 thus processes in each case one signal pattern course 40 recorded for the operation of the respective elevator installation 10, or the signal data record 48 generated from this signal pattern course 40 and at least one associated comparison data record 46.
  • a signal data record 48 and a comparison data record 46 are symbolic as input data of the comparator 60.
  • the comparator 60 can now on the one hand to compare the time periods Tl to T6 of the signal data set 48 and the comparison data set 46 correlated with each other and at a relevant deviation he can the corresponding point or the corresponding time associated with component T1V to T6V as the affected component 56 and 56 this component indicate the cause or source of the deviation.
  • the comparison performed by the comparator 60 thus relates to the signal values 55 of the individual signal events 42 of the signal data set 48 (FIG. 3) and the associated expected values 52 (FIG. 5) of the comparison data set 46.
  • the time or the time periods may also be referred to as time-place locations be.
  • an assignment to the respective expected values 52 of the comparison data record 46 according to FIG. 7 can take place, for example by starting a counter 64 or the like with the beginning of the comparison by the comparator 60 and this is incremented regularly, so that at the end of the comparison, Thus, upon reaching the end of the signal pattern course 40, the duration of the signal pattern course 40 corresponding time / numerical value results.
  • a respective current counter reading is used for accessing the data of the signal pattern course 40 and of the comparison data record 46. For example, in the situation shown in FIG. 7, the counter 64 has a counter reading which corresponds to a time value t in the time interval T3. Since, according to the statements in connection with FIGS.
  • the comparator 60 detects an exceptional situation and the comparator 60 delivers the output signal 68 or the component 56 associated with the respective signal event 42 as the output signal 68 on the basis of the comparison data record 46 (FIG. in the example T3V) as probable cause or source for the detected deviation.
  • the comparator 60 can comprise a conversion unit not shown separately, for example a datum which is used to refer a component T1V to T6V in the comparison data record 46 is converted into a readable and understandable plain text, so that from such a date, for example, a text message such as "relay safety circuit” or "door operation floor 3" results.
  • a signal data record 48 is thus generated from the signal pattern course 40 and this is compared with the comparison data record 46, while in another approach, signal values 55 assigned to the signal events 42 are determined from the signal pattern progression 40 at a temporal step and these are compared with the corresponding expected values 52 of FIG Comparison data set 46 are compared.
  • functional sequences can also be recorded multiple times.
  • expected values 52 included therein can be summarized, for example, by averaging or other statistical functions.
  • a trend can be derived from a plurality of comparison data records 46 and their expected values 52. Additional comparison data sets 46 can result from this by assuming that a recorded signal pattern course 40 after completion of its evaluation as reference signal course 44 forms the formation of a further comparison data record 46.
  • each signal pattern course 40 and each comparison data record 46 is provided with a time stamp and based on this, recognizable time intervals in the comparison and / or the trend analysis.
  • the illustration in FIG. 8 shows a database 70 having a plurality of comparison data records 46.
  • the comparison data records 46 are stored in the database 70 for use in the context of an evaluation of a signal pattern profile 40 as described above maintained. Affiliation of a comparison data record 46 to a signal pattern course 40 to be evaluated can result, for example, from a unique designation or other referencing of the respective signal recording device 30 with which the respective signal pattern course 40 and, for example, a reference signal course 44 underlying the comparison data record 46 have been recorded. On the basis of an identifier encompassed in this respect by the signal pattern course 40 or associated with the signal pattern course 40 in a suitable manner, a comparison data record 46 having a suitable identifier is searched in the database 70, so that the evaluation can subsequently take place.
  • single or multiple signal pattern courses 40 can also be stored in the database 70 for an evaluation at a later point in time than a recording time.
  • FIG. 9 finally shows a situation in which, in contrast to the embodiment of FIG. 1, a device intended to execute the evaluation of individual or multiple signal pattern courses 40 and correspondingly functioning as monitoring device 24a is carried by a service technician or a maintenance expert.
  • the device is, for example, a laptop, a smartphone, a tablet computer or the like.
  • Such a mobile monitoring device 24a executes the method proposed here instead of the control device 24 or in addition to the control device 24 and receives, for example, in a wireless manner, the necessary data, in particular a signal pattern course 40, from the control device 24 or from one of the signal recording devices 30
  • a device for example a standard computer, can act as monitoring device 24a at the location of a maintenance center.
  • the database 70 is also located with the corresponding comparison data record in the mobile device, or the corresponding monitoring device 24a.
  • human hearing and associated experiences are mimicked.
  • the approach presented here makes use of the fact that the system functionality of an elevator installation 10 is subjected to exactly coordinated sequences and that these are associated with typical movement and contact noises or vibrations. These typical movement and contact noises or vibrations are generated by components such as switches, contactors, relays, coupling mechanisms, motors, brakes, etc.
  • Such changes are determined according to the approach proposed here by means of a comparison of at least one signal pattern course 40 recorded with respect to the elevator installation 10 and during operation of the elevator installation 10 with a comparison data record 46 stored in a database 70.
  • the comparison data set 46 comprises expected values 52 and references linked to each expected value 52 to at least one component 56 encompassed by the elevator installation 10.
  • the comparison of the recorded signal pattern course 40 with the comparison data record 46 is carried out by means of a device 24, 24a intended therefor.
  • a signal data record 48 is generated in one embodiment from the signal pattern course 40.
  • the signal data set 48 is directly comparable to the comparison data set 46.
  • a suitable entry in the comparison data record 46 is determined by means of the device 24, 24a and the component 56 referenced at the location of the deviation is determined as source or causer of the deviation or as potential source of error.
  • the approach presented here is thus a method for monitoring an elevator installation 10, a monitoring device 24, 24a for carrying out the method as well as an elevator system 10 monitored by the method and by the monitoring device 24, 24a.
  • the temporally associated signal values 55 and expected values 52 are compared.

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  • Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Fuzzy Systems (AREA)
  • Mathematical Physics (AREA)
  • Quality & Reliability (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Indicating And Signalling Devices For Elevators (AREA)
  • Maintenance And Inspection Apparatuses For Elevators (AREA)

Abstract

L'invention concerne un procédé pour la surveillance d'un système d'ascenseur (10), un dispositif de surveillance (24) pour l'exécution du procédé ainsi qu'un système d'ascenseur (10) surveillé d'après le procédé et au moyen du dispositif de surveillance (24). Selon l'invention, au moins une courbe d'un modèle de signal (40) est enregistrée en ce qui concerne le système d'ascenseur (10). Au moins un jeu de données comparatives (46), qui comprend des valeurs attendues (52) ainsi que des références sur au moins un composant ou une unité fonctionnelle que renferme le système d'ascenseur (10), associées à chaque valeur attendue (52), est stocké dans une base de données (70). La courbe du modèle de signal (40) enregistrée et/ou une valeur de signal dérivée de celle-ci (55) ou un jeu de données de signal (48) est comparé(e) au jeu de données comparatives (46) au moyen du dispositif de surveillance (24, 24a) et, en cas d'écarts, une entrée correspondante dans le jeu de données comparatives (46) est déterminée au moyen du dispositif de surveillance (24, 24a) et le composant (56) ou bien l'unité fonctionnelle référencé(e) dans celui-ci est indiqué(e) comme étant la cause.
PCT/EP2016/061740 2015-06-02 2016-05-25 Surveillance d'un système d'ascenseur WO2016193079A1 (fr)

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EP15170257 2015-06-02

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3401263A3 (fr) * 2017-05-12 2019-04-24 Otis Elevator Company Application de dispositif de terminal mobile pour la mesure de la qualité de conduite
EP3403970B1 (fr) 2017-05-17 2020-10-28 KONE Corporation Procédé et système produisant des données de maintenance d'un système de porte d'ascenseur
WO2022200671A1 (fr) 2021-03-23 2022-09-29 Kone Corporation Procédé et système d'utilisation de jumeaux numériques pour déterminer un besoin de maintenance d'un ascenseur
DE102022118101A1 (de) 2022-07-20 2024-01-25 Tk Elevator Innovation And Operations Gmbh Aufzugsanlage sowie Verfahren zum Erkennen von Fehlerzuständen

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EP1050503A1 (fr) * 1999-05-03 2000-11-08 Inventio Ag Système d'aide pour ascenseurs
US6330936B1 (en) * 2000-05-09 2001-12-18 Otis Elevator Company Elevator behavior reported in occurrence-related groups
US20030217894A1 (en) * 2000-10-30 2003-11-27 Pekka Perala Method for monitoring the door mechanism of an elevator
WO2006019167A1 (fr) * 2004-08-18 2006-02-23 Toshiba Elevator Kabushiki Kaisha Appareil de depannage d'ascenceurs
US20100094798A1 (en) 2008-07-10 2010-04-15 Toshiba Elevator Kabushiki Kaisha Anomaly diagnosis system for passenger conveyors
DE102011009362A1 (de) 2010-02-16 2011-08-18 Kabushiki Kaisha Toshiba Betriebstonsammelsystem und -verfahren
US20110240414A1 (en) 2008-04-08 2011-10-06 Carreno Luis C Encinas Remotely observable analysis for an elevator system
WO2014200457A1 (fr) 2013-06-10 2014-12-18 Otis Elevator Company Contrôle du bruit d'un ascenseur

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1050503A1 (fr) * 1999-05-03 2000-11-08 Inventio Ag Système d'aide pour ascenseurs
US6330936B1 (en) * 2000-05-09 2001-12-18 Otis Elevator Company Elevator behavior reported in occurrence-related groups
US20030217894A1 (en) * 2000-10-30 2003-11-27 Pekka Perala Method for monitoring the door mechanism of an elevator
WO2006019167A1 (fr) * 2004-08-18 2006-02-23 Toshiba Elevator Kabushiki Kaisha Appareil de depannage d'ascenceurs
US20110240414A1 (en) 2008-04-08 2011-10-06 Carreno Luis C Encinas Remotely observable analysis for an elevator system
US20100094798A1 (en) 2008-07-10 2010-04-15 Toshiba Elevator Kabushiki Kaisha Anomaly diagnosis system for passenger conveyors
DE102011009362A1 (de) 2010-02-16 2011-08-18 Kabushiki Kaisha Toshiba Betriebstonsammelsystem und -verfahren
WO2014200457A1 (fr) 2013-06-10 2014-12-18 Otis Elevator Company Contrôle du bruit d'un ascenseur

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3401263A3 (fr) * 2017-05-12 2019-04-24 Otis Elevator Company Application de dispositif de terminal mobile pour la mesure de la qualité de conduite
US10547917B2 (en) 2017-05-12 2020-01-28 Otis Elevator Company Ride quality mobile terminal device application
EP3403970B1 (fr) 2017-05-17 2020-10-28 KONE Corporation Procédé et système produisant des données de maintenance d'un système de porte d'ascenseur
WO2022200671A1 (fr) 2021-03-23 2022-09-29 Kone Corporation Procédé et système d'utilisation de jumeaux numériques pour déterminer un besoin de maintenance d'un ascenseur
DE102022118101A1 (de) 2022-07-20 2024-01-25 Tk Elevator Innovation And Operations Gmbh Aufzugsanlage sowie Verfahren zum Erkennen von Fehlerzuständen

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