CN1993285A - Elevator troubleshooting apparatus - Google Patents
Elevator troubleshooting apparatus Download PDFInfo
- Publication number
- CN1993285A CN1993285A CNA2005800264884A CN200580026488A CN1993285A CN 1993285 A CN1993285 A CN 1993285A CN A2005800264884 A CNA2005800264884 A CN A2005800264884A CN 200580026488 A CN200580026488 A CN 200580026488A CN 1993285 A CN1993285 A CN 1993285A
- Authority
- CN
- China
- Prior art keywords
- elevator
- unit
- amplitude
- information
- spectrum data
- Prior art date
- Legal status (The legal status 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 status listed.)
- Pending
Links
Images
Classifications
-
- 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
Landscapes
- Indicating And Signalling Devices For Elevators (AREA)
- Maintenance And Inspection Apparatuses For Elevators (AREA)
Abstract
An elevator troubleshooting apparatus of the present invention is characterized by comprising detection means (1, 2) for detecting an amplitude value of any one of vibration acceleration and noise related to any one of various kinds of devices of an elevator, wavelet conversion means (8) for conducting wavelet conversion for a detection output of the detection means and thereby generating wavelet spectrum data, and troubleshooting means (9) for diagnosing occurrence of an abnormal condition at the elevator in accordance with magnitude of an amplitude value represented by the wavelet spectrum data generated by the wavelet conversion means.
Description
Technical field
The elevator troubleshooting apparatus that the present invention relates to diagnose the error state in the various devices of elevator to take place.
Background technology
If the ride characteristic of elevator is owing to the noise and the vibration that take place at its run duration degenerate, then the passenger in the elevator can feel uncomfortable and anxiety.For this reason, noise and realizable vibration elevator operation whenever all need maintain low-level.
As everyone knows, the electric property of traction machine and control setup thereof, the fixation case of guide rail and setting accuracy, the mechanical specialities of structural elements etc. are greatly depended in noise and realizable vibration.
Conventionally, experienced technician is in the elevator installation and measure noise and realizable vibration with audio noise meter and vibration meter during periodical maintenance thereafter, and judge that noise and vibration are in normally or unusual situation under.
But in this determination methods, if the technician lacks experience or do not understand thoroughly maintenance technology, judged result may change with the different of data analysis aspect owing to technician's method of measurement.For this reason, imagine noise on a kind of energy measurement elevator and realizable vibration and according to the troubleshooting apparatus of the normal or error state of measured noise and vibration diagnosis elevator.This equipment for example is being disclosed in the 11-92049 Japanese Patent Application Publication communique.
Such troubleshooting apparatus detects realizable vibration and noise when the operation elevator, and carries out for the frequency analysis based on Fourler transform that detects output.This troubleshooting apparatus indicates some part of the various devices of the elevator that error state takes place by the reference analysis result.
Yet, when troubleshooting apparatus when the elevator operating rate changes fully, promptly in the speed unstable state, quicken or slow down in when carrying out Fourler transform, equipment can not immediately obtain high-precision variation frequency spectrum.For this reason, disappearance or trueness error by the data of this equipment sampling take place, and equipment almost can not obtain accurate frequency information.Like this, the error state judged result partly based on the abnormal elevator condition diagnosing of being undertaken by this equipment may change.
In addition, be the one dimension function that frequency coordinate is only arranged based on the Fourler transform that is undertaken by troubleshooting apparatus from the function that frequency analysis obtains.In other words, this function is not considered the position of elevator cage in the elevator.In this case, troubleshooting apparatus can not be judged the temporal correlation of abnormal elevator state part.Even in this case, skilled technician still can judge the error state part according to the analysis result that obtains from the frequency analysis based on the Fourler transform that is undertaken by troubleshooting apparatus.Yet the less technician of experience almost impassabitity judges the error state part of elevator with reference to the analysis result that obtains from the frequency analysis based on the Fourler transform that is undertaken by troubleshooting apparatus.
Summary of the invention
Target of the present invention provides a kind of elevator troubleshooting apparatus, even the technician lacks experience, this elevator troubleshooting apparatus also makes the technician accurately and easily diagnose the error state of elevator.
A kind of elevator troubleshooting apparatus is provided according to an aspect of the present invention, this elevator troubleshooting apparatus comprises the detecting device of the amplitude that is used to detect any one vibration acceleration relevant with any one device of the various devices of elevator and noise, thereby being used to carry out generates the wavelet transform device of wavelet spectrum data and is used for the trouble-shooting device of basis by the size diagnosis abnormal elevator state generation of the amplitude of the wavelet spectrum data representation of wavelet transform device generation for the wavelet transform that the detection of detecting device is exported.
Other purpose and advantage of the present invention will be illustrated in the following description, and its part will be clearly by explanation, perhaps can learn by practice of the present invention.Objects and advantages of the present invention can by means of the means of hereinafter specifically noting and combination realizes and acquisition.
Description of drawings
The accompanying drawing that is combined in the specification sheets and forms a specification sheets part illustrates embodiments of the invention, and and above-mentioned describe, in general terms the and hereinafter detailed descriptionthe of the specific embodiment is used for explaining principle of the present invention together.
Fig. 1 is the block scheme of expression according to the structure of the elevator troubleshooting apparatus of the first embodiment of the present invention;
Fig. 2 is the block scheme of expression according to the detailed structure of the part of the elevator troubleshooting apparatus of the first embodiment of the present invention;
Fig. 3 is that expression is stored in the form according to the error state partial database content in the diagnostic data library unit of the elevator troubleshooting apparatus of the first embodiment of the present invention;
Fig. 4 is the block scheme of detailed structure of representing the part of elevator troubleshooting apparatus according to a second embodiment of the present invention;
Fig. 5 is the form that expression is stored in the error state partial database content in the diagnostic data library unit of elevator troubleshooting apparatus according to a second embodiment of the present invention;
Fig. 6 is the block scheme of detailed structure of a part of the elevator troubleshooting apparatus of expression a third embodiment in accordance with the invention; And
Fig. 7 is the form that expression is stored in the error state partial database content in the diagnostic data library unit of elevator troubleshooting apparatus of a third embodiment in accordance with the invention.
The specific embodiment
Embodiments of the invention hereinafter are described with reference to the accompanying drawings.
(first embodiment)
At first the first embodiment of the present invention will be described.
Fig. 1 is the block scheme of expression according to the structure of the elevator troubleshooting apparatus of the first embodiment of the present invention.
As shown in Figure 1, according to elevator troubleshooting apparatus involving vibrations acceleration pick-up 1, noise transducer 2, filter 3, amplifier 4, A/D converter 5, data storage cell 6 and the date and time input block 7 of the first embodiment of the present invention.
The amplitude that feeling when vibration acceleration sensor 1 detects operation elevator cage (not shown) vibrates or as the amplitude of the vibration of the traction machine (not shown) of elevator power unit.Vibration acceleration sensor 1 output comprises the analog signal of detected value information.
Noise figure when noise transducer 2 detects the compartment lifting.Noise transducer 2 outputs comprise the analog signal of detected value information.Filter 3 inputs are from the analog signal of vibration acceleration sensor 1 or noise transducer 2.Filter 3 only allows the band component of determining of incoming signal to pass through.The incoming signal that amplifier 4 amplifies from filter 3.
A/D converter 5 is by carrying out the analogue to digital conversion of analog signal from the analog signal of amplifier 4 inputs in each time sampling of determining.Data storage cell 6 storages are based on the digital data of the digital signal of A/D converter 5.Date and time input block 7 calculates current date and current time and exports the data of being calculated to data storage cell 6 by the timer (not shown).
Elevator troubleshooting apparatus shown in Figure 1 further comprises wavelet transform unit 8, trouble-shooting unit 9, essential information input block 10, diagnostic data library unit 11 and display unit 12.
8 pairs of wavelet transform unit are considered to import the function of time data of data and carry out the operation of wavelet transform to generate the wavelet spectrum data.In first embodiment, wavelet transform unit 8 generates the wavelet spectrum data that comprise time coordinate and frequency coordinate.The coordinate of elapsed time after the time coordinate indication begins to rise from elevator.
Trouble-shooting unit 9 judges whether the composition of vibration of expression abnormal elevator or abnormal noise is included in the wavelet spectrum data of wavelet transform unit 8 generations.The composition of expression abnormal vibrations or abnormal noise is by surpassing the predetermined amplitude of allowing reference value in the amplitude of the vibration of wavelet spectrum data representation or noise.This allows that reference value is for example to make the passenger feel the amplitude of anxiety or uncomfortable vibration or noise.
If the composition of vibration of expression abnormal elevator or abnormal noise is judged and be included in the wavelet spectrum data that promptly error state takes place in trouble-shooting unit 9 in the various devices of elevator, then the part that error state has taken place is judged in trouble-shooting unit 9.Part takes place error state is for example to cause the part that makes the passenger feel anxiety or uncomfortable vibration or noise.One or more error state generation parts can be arranged.
Essential information input block 10 is accepted to export diagnostic data library unit 11 to about the input of the various items of information (essential information) of elevator and motion thereof and with this information.Various items of information are compartment shapes of elevator, carriage weight, command speed, elevator height, the rotational frequency of traction machine etc.
The judged result that display unit 12 notices are made as fault maintenance unit 9 to the error state generation.If error state takes place, then judged result partly takes place as what made fault maintenance unit 9 to error state in display unit 12 notices.Specifically, display unit 12 shows judged result with the form of for example message etc.
Fig. 2 is the block scheme of detailed structure of the part of expression elevator troubleshooting apparatus shown in Figure 1.Fig. 3 is that expression is stored in the form according to the error state partial database content in the diagnostic data library unit 11 of the elevator troubleshooting apparatus of the first embodiment of the present invention.Trouble-shooting unit 9 comprises characteristic quantity judging unit 14 and error state part judging unit 15.The function of characteristic quantity judging unit 14 and error state part judging unit 15 will illustrate subsequently.
11 inputs of diagnostic data library unit are from the information of essential information input block 10.Diagnostic data library unit 11 is according to the kind storage error state partial database (Fig. 3) of input information.In the error state partial database, the first information and second information are in correspondence with each other.
The first information is indicated the information about the combination of the time of allowing reference value of the amplitude that has vibration and noise in the combination of time on the time coordinate in the wavelet spectrum data and the frequency on the frequency coordinate and frequency.The indication of second information is about being higher than the information that is assumed that an error state generation part (for example traction machine) partly under the situation of allowing reference value in the time of combination and the amplitude of frequency.The error state when this value of allowing reference value indication amplitude is considered to the lower limit that takes place in the various devices of elevator.
Next the processing operation of troubleshooting apparatus illustrated in figures 1 and 2 is described.The testing result according to vibration acceleration sensor 1 that troubleshooting apparatus is described here judges whether exist error state generation partial sum to judge that the processing operation of part takes place this error state in the elevator.This processing operation judges that with the testing result according to vibration acceleration sensor 2 of troubleshooting apparatus the processing operation that exists error state generation partial sum to judge this error state generation part in the elevator is identical.
At first, vibration acceleration sensor 1 periodically detects the amplitude vibrated at operation the feeling during elevator cage or the vibration amplitude of power unit (traction machine).Vibration acceleration sensor 1 will comprise that the analog signal about the information of institute's detected amplitude exports filter 3 to.
Filter 3 only allows to pass through from the band component of determining of the analog signal of vibration acceleration sensor 1 output, and exports this composition to amplifier 4.The incoming signal that amplifier 4 amplifies from filter 3.
A/D converter 5 is carried out from the analogue to digital conversion of the incoming signal of amplifier 4 outputs.A/D converter 5 will export data storage cell 6 to as time characteristic data based on the data of digital conversion signal.Data storage cell 6 inputs are stored this data from the data of A/D converter 5 and as the time characteristic data of vibration amplitude.
(a b) calculates with following formula (1) wavelet spectrum data wt.
In formula (1), the time characteristic data of " x (t) " expression vibration, reciprocal and " b " expression time t of " a " expression angular frequency.The wavelet spectrum data (frequency coordinate-time coordinate) that wavelet transform unit 8 will generate like this export trouble-shooting unit 9 to.Diagnostic data library unit 11 will output to the error state part judging unit 15 of trouble-shooting unit 9 as mentioned above according to the information about the error state partial database of storing from the essential information about elevator of essential information input block 10 outputs.
Characteristic quantity judging unit 14 at first detects the amplitude of representing from the wavelet spectrum data of wavelet transform unit 8 outputs.Amplitude in these amplitude indication wavelet spectrum data at each time on the time coordinate and each frequency place on the frequency coordinate.
Next, characteristic quantity judging unit 14 extracts about time and the information of combination (coordinate figure) of frequency with the amplitude of allowing reference value that is higher than above explanation in institute's detected amplitude as the characteristic quantity data, to judge the error state generation part of elevator.Characteristic quantity judging unit 14 exports the information of being extracted to error state part judging unit 15.For example, allow reference value if the amplitude relevant with coordinate figure " time t1-frequency f 1 " in the wavelet spectrum data is higher than, then coordinate figure " time t1-frequency f 1 " is considered to the characteristic quantity data.
Error state part judging unit 15 will about the information of the combination of time from the characteristic quantity data of characteristic quantity judging unit 14 input and frequency with about comparing in information about the combination of each time from the information of the error state partial database of diagnostic data library unit 11 inputs and each frequency.Result as a comparison, error state part judging unit 15 extract about in the information of the combination of time in the information of error state partial database and frequency about the information of such combination, this combinations matches is considered to from the time of the coordinate figure of the characteristic quantity data of characteristic quantity judging unit 14 inputs and the combination of frequency.
Then, error state part judging unit 15 extracts about the information of part takes place corresponding to the error state of being extracted about the information of the combination of time and frequency from the error state partial database.Error state part judging unit 15 shows the control signal about error state generation information partly that is extracted to display unit 12 output commands.
Like this, display unit 12 shows the information that part takes place about error state with the form of for example message etc.This message is for example " ABNORMALITY IS SUSPECTED IN ACCELERATING ROTATION OF TRACTIONMACHINE (in the acceleration of traction machine rotation under a cloud have error state) ".The lift inspector can be accurately and is easily grasped the information that is in the part under the error state under a cloud about the various piece of elevator.
Comprise situation about being higher than than the amplitude of allowing the standard value that reference value is little of above explanation for the amplitude of preparing to represent in the wavelet spectrum data, as the result that the amplitude of being undertaken by characteristic quantity judging unit 14 detects, whether the combination that trouble-shooting unit 9 can have the time judged when this amplitude takes place and a frequency mates the function of the combination of time in the error state partial database (Fig. 3) and frequency.
If this condition is satisfied, then trouble-shooting unit 9 extracts about the information corresponding to the error state part of the combination of time of being mated and frequency from the error state partial database by error state part judging unit 15.Trouble-shooting unit 9 impels display unit 12 to show as the information of being extracted about the error state part of information that about out-of-adjustment partly is the part of display abnormality status indication.
Out-of-adjustment partly indicates the vibration that causes the mark that is considered to abnormal vibrations, just makes the passenger feel the part of the vibration of anxiety and discomfort.The vibration that is considered to the mark of abnormal vibrations be enough to fearful to making the passenger feel anxiety or uncomfortable vibration.
If thereby the lift inspector can easily grasp being left on unadjusted state then may causing the part of abnormal vibrations etc. in the elevator each several part.Like this, if lift inspector's this moment carries out just making the passenger feel that anxiety or uncomfortable vibration prevent this vibration generation before taking place such as the adjustment of repairing etc.
In addition, as the result by characteristic quantity judging unit 14 detected amplitude, trouble-shooting unit 9 can have judges whether the amplitude of allowing the little standard value of reference value (second allows reference value) that is higher than than above explanation is included in the function in the amplitude of representing in the wavelet spectrum data.
If this condition is satisfied, be included in the amplitude of representing in the wavelet spectrum data if promptly be higher than the amplitude of standard value, then trouble-shooting unit 9 impels display unit 12 to show and the message different message of notice about the information of error state part or imbalance part.This message indicates for example instructs vibration acceleration sensor 1 to detect vibration amplitude once more and instructs trouble-shooting unit 9 to judge the message of error state part once more according to the detection of vibration amplitude.
If the result of the judgement that characteristic quantity judging unit 14 carries out once more is identical with initial judged result, then the reliability of this judged result is enhanced.Thereby elevator troubleshooting apparatus can impel lift inspector's diagnosing abnormal state part more accurately.
Has such situation, be higher than the amplitude of allowing reference value (or standard value) as in the wavelet spectrum data, existing, and in the error state partial database, do not exist and the time of the amplitude of allowing reference value (or standard value) corresponding to being higher than in the wavelet spectrum data and the identical combination of combination of frequency as the result who compares by error state part judging unit 15 by the result of characteristic quantity judging unit 14 detected amplitude.The situation that to specify the error state part though described combination is not present in that situation in the error state partial database has indicated that abnormal vibrations takes place.
In this case, the wavelet spectrum data that 9 supposition of trouble-shooting unit generate as mentioned above may not be normal data, and impel display unit 12 to show and suspect detecting sensor fault or the message of sensor measurement error and the message that should measure once more.Like this, if suspect the diagnostic accuracy of elevator troubleshooting apparatus, then the lift inspector can easily grasp this situation.
In addition, can replace judging whether in the various devices of elevator, error state to take place according to the error state part of judging elevator based on the fluctuation of the secular variation of amplitude according to the troubleshooting apparatus of present embodiment according to the wavelet spectrum data and the error state partial database that generate as mentioned above.Specifically, when generating the time characteristic data of vibration and noise, troubleshooting apparatus is associated the data of described time characteristic data and expression measurement date and time, and basis is judged the error state part based on the fluctuation of the secular variation of the amplitude of the wavelet spectrum data representation of being measured date and time by each then.
On the basis of the wavelet spectrum data of having classified, the schedule time on the time coordinate that trouble-shooting unit 9 utilizes in the wavelet spectrum data of classification and the preset frequency on the frequency coordinate are calculated the fluctuation based on the secular variation of amplitude.Trouble-shooting unit 9 judges whether the fluctuation that obtains by this calculating is higher than predetermined positive threshold value.If vibration amplitude increases according to this secular variation, then undulating quantity is for just.If vibration amplitude reduces according to secular variation, then undulating quantity is for negative.
If the characteristic quantity judging unit of trouble-shooting unit 9 14 judges that the fluctuation of the vibration amplitude that calculates as mentioned above is higher than threshold value, then characteristic quantity judging unit 14 extracts the error state part of characteristic quantity data with assigned elevator, and no matter vibration amplitude is higher than the reference value or the standard value whether problem of above explanation.The characteristic quantity data indicate in the wavelet spectrum data corresponding to based on the time of the vibration amplitude of the fluctuation that is higher than threshold value and the coordinate figure information of frequency.
For example, the fluctuation based on the secular variation of amplitude that the coordinate figure in the wavelet spectrum data " time t1-frequency f 1 " is located is higher than the threshold value of above explanation, and the information of coordinate figure " time t1-frequency f 1 " is the characteristic quantity data.Error state part judging unit 15 is by comparing the information of acquisition about the error state part with these characteristic quantity data and aforesaid error state partial database.
Trouble-shooting unit 9 error state that is obtained is regarded partly as needs are safeguarded or the part of transposing assembly and impel display unit 12 display notifications with corresponding to the maintenance of the relevant assembly of the device of described part or the message of replacing.This message is for example " AGED DETERIORATION IS SUSPECTED ON ROPE.MAINTENANCE IS REQUIRED (under a cloud on the cable wire aged deterioration arranged, need repairing ".Thereby the lift inspector can be fast and is easily grasped the error state that cause the service life by aged deterioration and device in the device.
In elevator troubleshooting apparatus according to the first embodiment of the present invention, as mentioned above, part takes place for the generation of abnormal elevator state and error state can feel the data vibrated by measuring elevator, carry out the wavelet conversion and calculate the wavelet spectrum data recording data, and computational data and the information that is stored in the diagnostic data library unit 11 are compared and accurately and easily grasped.So the few technician of experience also can be with the accuracy checking elevator identical with experienced technician.
(second embodiment)
Next the second embodiment of the present invention is described.Be similar to the element of Fig. 1 substantially according to the element of the elevator troubleshooting apparatus of second embodiment and following embodiment.So similar ultimate composition is no longer described.
Fig. 4 is the block scheme of detailed structure of representing the part of elevator troubleshooting apparatus according to a second embodiment of the present invention.
The structure of troubleshooting apparatus shown in Figure 4 is similar to first embodiment substantially.Yet trouble-shooting unit 9 comprises the error state part judging unit 21 of the error state part judging unit 15 that replaces above explanation.Error state part judging unit 15 is judged the error state part based on the wavelet spectrum data corresponding to time coordinate and frequency coordinate, and error state part judging unit 21 is judged the error state part based on the wavelet spectrum data corresponding to position coordinate and frequency coordinate.
8 pairs of inputs of wavelet converting unit data are carried out the wavelet conversion, thereby generate the wavelet spectrum data of being made up of the function of frequency and position.Here wavelet converting unit 8 generates the wavelet spectrum data that comprise frequency coordinate and position coordinate, and this position coordinate is that elevator is corresponding to the position in ground floor hall and the coordinate of the distance between the compartment current location.
Fig. 5 is the form that expression is stored in the error state partial database content in the diagnostic data library unit of elevator troubleshooting apparatus according to a second embodiment of the present invention.
11 inputs of diagnostic data library unit are from the information of essential information input block 10.Diagnostic data library unit 11 is based on the kind storage error state partial database (Fig. 5) of input information.On the error state partial database, make the 3rd information corresponding to the 4th information.The 3rd information indicates the information about the combination of the position of allowing reference value of the amplitude that has vibration and noise in the combination of position on the position coordinate in the wavelet spectrum data and the frequency on the frequency coordinate and frequency.The 4th information indicates the information that surpasses the part (for example, traction machine) that is assumed that error state generation part under the situation of allowing reference value about the amplitude at described position and frequency place.
Next the operation of explanation troubleshooting apparatus according to a second embodiment of the present invention.
In described troubleshooting apparatus, identical to step from data to data storage cell 6 that import with first embodiment from the detection of adopting vibration acceleration sensor 1 and noise transducer 2.Yet the following formula of wavelet converting unit 8 usefulness (2) carry out the wavelet conversion from the vibration of data storage cell 6 outputs and noise data, thus the wavelet spectrum data wt that generation is made up of frequency coordinate and position coordinate (a, b).
Characteristic quantity judging unit 14 at first detects each frequency on the frequency coordinate from the wavelet spectrum data of wavelet transform unit 8 output and the amplitude of each position on the position coordinate.Next, characteristic quantity judging unit 14 is as the information of the combination of the frequency that is higher than the amplitude of allowing reference value of characteristic quantity data extract detected amplitude about having and position, judging the error state generation part of elevator, and the information of being extracted to 21 outputs of error state part judging unit.For example, allow reference value if the amplitude relevant with coordinate figure " frequency f 1-position p1 " in the wavelet spectrum data is higher than, then coordinate figure " frequency f 1-position p1 " is considered to the characteristic quantity data.
Error state part judging unit 21 will compare about the information of the combination of frequency from the characteristic quantity data of characteristic quantity judging unit 14 input and position and information about the combination of frequency from the error state partial database of diagnostic data library unit 11 inputs and position.Result as a comparison, error state part judging unit 21 extracts the information about such combination, and this combinations matches is considered to from the frequency of the coordinate figure of the characteristic quantity data of characteristic quantity judging unit 14 inputs and the combination of position in the frequency in the error state partial database and the combination of position.
Then, error state part judging unit 21 extracts the information that part takes place about error state from the error state partial database, and this error state part takes place corresponding to the information about the combination of the frequency as mentioned above the error state partial database extracted and position.Error state part judging unit 21 shows the control signal about error state generation information partly that is extracted to display unit 12 output commands.
In elevator troubleshooting apparatus according to a second embodiment of the present invention, as mentioned above, by calculating the error state generation part of the wavelet spectrum data judgement elevator of forming by the function of the position of frequency and elevator.So, if in elevator guide rail for example, the particular location of wirerope etc. is suspected error state, then the lift inspector can be accurately and is easily grasped this error state under a cloud.
(the 3rd embodiment)
Next the third embodiment of the present invention is described.
Fig. 6 is the block scheme of detailed structure of a part of the elevator troubleshooting apparatus of expression a third embodiment in accordance with the invention.
The structure of troubleshooting apparatus shown in Figure 6 is similar to first embodiment substantially.Yet trouble-shooting unit 9 comprises the error state part judging unit 31 of the error state part judging unit 15 that replaces above explanation.Error state part judging unit 31 is judged the error state part based on the wavelet spectrum data corresponding to speed coordinate and frequency coordinate.
The 8 pairs of inputs in wavelet transform unit data are carried out son and are divided wave conversion, thereby generate the wavelet spectrum data of being made up of the function of speed and position.Here wavelet transform unit 8 generates and comprises frequency coordinate and as the wavelet spectrum data of the speed coordinate of the coordinate of the rising/fall off rate of elevator cage.
Fig. 7 is the form that expression is stored in the error state partial database content in the diagnostic data library unit of elevator troubleshooting apparatus of a third embodiment in accordance with the invention.
11 inputs of diagnostic data library unit are stored error state partial database (Fig. 7) from the information of essential information input block 10 and based on the kind of input information.On the error state partial database, make the 5th information corresponding to the 6th information.The 5th information indicates the information about the combination of the speed of allowing reference value of the amplitude that has vibration and noise in the combination of each speed on the speed coordinate in the wavelet spectrum data and each frequency on the frequency coordinate and frequency.The 6th information indicates the information that surpasses the part (for example, traction machine) that is assumed that error state generation part under the situation of allowing reference value about the amplitude at described speed and frequency place.
Next the operation of the troubleshooting apparatus of a third embodiment in accordance with the invention is described.
In described troubleshooting apparatus, identical to step from data to data storage cell 6 that import with first embodiment from the detection of adopting vibration acceleration sensor 1 and noise transducer 2.Yet the formula (2) of the above explanation of wavelet transform unit 8 usefulness of this troubleshooting apparatus carries out from the vibration of data storage cell 6 outputs and the wavelet transform of noise data, thus the wavelet spectrum data wt of generated frequency and speed (a, b).
Characteristic quantity judging unit 14 at first detects each frequency on the frequency coordinate from the wavelet spectrum data of wavelet transform unit 8 output and the amplitude of each speed on the speed coordinate.Next, characteristic quantity judging unit 14 is higher than the information of the combination of the frequency of the amplitude of allowing reference value and speed as the characteristic quantity data extract in the detected amplitude about having, to judge the error state generation part of elevator.Characteristic quantity judging unit 14 exports the information of being extracted to error state part judging unit 31.For example, allow reference value if the amplitude relevant with coordinate figure " frequency f 1-speed v1 " in the wavelet spectrum data is higher than, then coordinate figure " frequency f 1-speed v1 " is considered to the characteristic quantity data.
Abnormal rate part judging unit 31 at first will compare about the information of the combination of frequency from the characteristic quantity data of characteristic quantity judging unit 14 input and speed and information about the combination of frequency from the error state partial database of diagnostic data library unit 11 inputs and speed.Result as a comparison, error state part judging unit 31 extracts the information about such combination, and this combinations matches is considered to from the frequency of the coordinate figure of the characteristic quantity data of characteristic quantity judging unit 14 inputs and the combination of speed in the frequency in the error state partial database and the combination of speed.
Then, error state part judging unit 31 extracts from the error state partial database that about error state part to take place be information, and this error state part takes place corresponding to the information about the combination of the frequency as mentioned above the error state partial database extracted and speed.Error state part judging unit 31 shows the control signal about error state generation information partly that is extracted to display unit 12 output commands.
In the elevator troubleshooting apparatus of a third embodiment in accordance with the invention, as mentioned above, by calculating the error state generation part of the wavelet spectrum data judgement elevator of forming by the function of the speed of elevator and frequency.So the lift inspector can be accurately and is easily grasped because error state that the torque ripple of elevator power unit causes and the error state that generates at each speed place.
The those of skill in the art in present technique field will easily realize other advantage and improvement.Therefore, the present invention its widely various aspects be not limited to that this paper shows and the detail and the representative embodiment of explanation.In view of the above, can carry out various improvement and do not deviate from the spirit or scope of attached claim and the defined overall inventive concept of content of equal value thereof.
Claims (7)
1. an elevator troubleshooting apparatus is characterized in that, this elevator troubleshooting apparatus comprises:
Be used for detecting the vibration acceleration relevant and the detecting unit (1,2) of any one amplitude in the noise with any one device of the various devices of elevator;
Be used for thereby the wavelet transform unit (8) that wavelet transform generates the wavelet spectrum data is carried out in the detection output of described detecting unit; With
Be used for the trouble-shooting unit (9) of basis by the generation of the size diagnosis abnormal elevator state of the amplitude of the wavelet spectrum data representation that generates by the wavelet transform unit.
2. equipment as claimed in claim 1, it is characterized in that, described wavelet transform unit (8) generates and to comprise frequency and time, the wavelet spectrum data of any one coordinate in position and the speed, these coordinates as with the relevant coordinate of coordinate by the amplitude of wavelet spectrum data representation.
3. equipment as claimed in claim 1 is characterized in that, this equipment also comprises:
Be used to import information input unit (10) various and the elevator and the relevant information of moving thereof;
Be used for analyzing the wavelet spectrum data that generate by the wavelet transform unit and extract the extraction unit (14) that is higher than the relevant coordinate figure of the coordinate of amplitude of predetermined reference value with amplitude by described wavelet spectrum data representation; With
Be used for being illustrated in and memory cell (11) by the error state information partly of the elevator of each relevant coordinate figure of the coordinate of the amplitude of wavelet spectrum data representation according to various information storage from the input of described message input device, and
Wherein said trouble-shooting unit (9) compares the error state part of judging elevator by the information that will be stored in the described memory cell with the information of being extracted by described extraction unit.
4. an elevator troubleshooting apparatus is characterized in that, this elevator troubleshooting apparatus comprises:
Be used for repeatedly detecting the detecting unit (1,2) of any one amplitude in vibration acceleration relevant and the noise with any one device of the various devices of elevator;
Thereby be used for when described detecting unit detects, the detection output of described detecting unit being carried out the wavelet transform unit (8) of wavelet transform generation wavelet spectrum data;
Be used for genesis sequence, calculate for the unit (14) of secular variation by the fluctuation of the amplitude of the wavelet spectrum data representation that is generated based on the wavelet spectrum data; With
Be used for trouble-shooting unit (15) according to the size diagnosis abnormal elevator state generation of the fluctuation of being calculated.
5. equipment as claimed in claim 1 is characterized in that, this equipment also comprises:
Be used to import information input unit (10) various and the elevator and the relevant information of moving thereof;
Be used for analyzing the wavelet spectrum data that generate by the wavelet transform device and extract the extraction unit (14) that is higher than the relevant coordinate figure of the coordinate of amplitude of second reference value lower with amplitude than described predetermined reference value by the wavelet spectrum data representation; With
Be used for being illustrated in and memory cell (11) by the information of the part of the display abnormality status indication of the elevator of each relevant coordinate figure of the coordinate of the amplitude of wavelet spectrum data representation according to various information storage from the input of described information input unit, and
Wherein, described trouble-shooting unit (9) compares the part of the display abnormality status indication of judging elevator by information and the information of being extracted by described extraction unit in the described memory cell of will being stored in.
6. equipment as claimed in claim 1 is characterized in that, this equipment also comprises:
Be used to import information input unit (10) various and the elevator and the relevant information of moving thereof;
Be used for analyzing the wavelet spectrum data that generate by described wavelet transform device and extract the extraction unit (14) that is higher than the relevant coordinate figure of the coordinate of amplitude of second reference value lower with amplitude than described predetermined reference value by the wavelet spectrum data representation; With
Extract the relevant coordinate figure of coordinate that is higher than the amplitude of described second reference value with amplitude, the unit (12) that then carries out confirmation of the reservation if be used for described extraction element by the wavelet spectrum data representation.
7. equipment as claimed in claim 3, it is characterized in that, if this equipment comprises that also being used for described trouble-shooting unit fails to compare the error state part of judging elevator by information that will be stored in described memory cell and the information of being extracted by described extraction unit, then carries out the unit (12) of confirmation of the reservation.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP238486/2004 | 2004-08-18 | ||
| JP2004238486A JP4744826B2 (en) | 2004-08-18 | 2004-08-18 | Elevator abnormality diagnosis device |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN1993285A true CN1993285A (en) | 2007-07-04 |
Family
ID=35907550
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CNA2005800264884A Pending CN1993285A (en) | 2004-08-18 | 2005-08-15 | Elevator troubleshooting apparatus |
Country Status (4)
| Country | Link |
|---|---|
| JP (1) | JP4744826B2 (en) |
| CN (1) | CN1993285A (en) |
| MY (1) | MY149247A (en) |
| WO (1) | WO2006019167A1 (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102491140A (en) * | 2011-12-27 | 2012-06-13 | 阳西县电梯配件有限公司 | Characteristic-signal-based elevator safety checking device and elevator safety checking method |
| CN101804932B (en) * | 2009-02-17 | 2013-04-24 | 株式会社日立制作所 | Abnormity diagnostic device and abnormity diagnostic method |
| CN103347807A (en) * | 2010-12-07 | 2013-10-09 | 因温特奥股份公司 | Elevator system having a sound receiver for capturing solid-borne sound |
| CN103998362A (en) * | 2011-12-14 | 2014-08-20 | 因温特奥股份公司 | Fault diagnosis of a lift system and the components thereof by means of a sensor |
| CN105164039A (en) * | 2013-02-26 | 2015-12-16 | 通力股份公司 | Elevator structure test |
| CN108630226A (en) * | 2018-05-08 | 2018-10-09 | 上海极歌企业管理咨询中心（有限合伙） | The artificial intelligence detection method and device of unmanned garage parking O＆M safety |
| CN109179120A (en) * | 2018-09-28 | 2019-01-11 | 广东马上到网络科技有限公司 | A kind of elevator or Escalator method for detecting abnormality and system |
| CN109855826A (en) * | 2019-03-05 | 2019-06-07 | 苏州德姆斯信息技术有限公司 | Lifting means vibration analysis system and vibration analysis method |
| CN110817628A (en) * | 2018-08-08 | 2020-02-21 | 北京感瞰科技有限公司 | Intelligent fault diagnosis method, device and system for elevator |
| CN112444314A (en) * | 2020-11-02 | 2021-03-05 | 中国电力科学研究院有限公司 | Reactor abnormity alarm system and method based on vibration noise |
Families Citing this family (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009126140A1 (en) * | 2008-04-08 | 2009-10-15 | Otis Elevator Company | Remotely observable analysis for an elevator system |
| FI122598B (en) * | 2011-04-01 | 2012-04-13 | Kone Corp | METHOD FOR MONITORING THE OPERATION OF THE LIFT SYSTEM |
| JP5783808B2 (en) * | 2011-06-02 | 2015-09-24 | 三菱電機株式会社 | Abnormal sound diagnosis device |
| JP6103899B2 (en) * | 2012-11-28 | 2017-03-29 | 三菱電機株式会社 | Failure location estimation device |
| JP6026251B2 (en) * | 2012-11-30 | 2016-11-16 | 三菱電機ビルテクノサービス株式会社 | Elevator rope strand break detection device and rope strand break detection method |
| CN103359572A (en) * | 2013-05-23 | 2013-10-23 | 中国矿业大学 | Elevator fault diagnosis method and device |
| CN103588059B (en) * | 2013-11-13 | 2016-06-22 | 潍坊菱业电梯空调有限公司 | Elevator emergency based on call center and positioning service repaiies method and system |
| WO2016193079A1 (en) * | 2015-06-02 | 2016-12-08 | Inventio Ag | Monitoring of an elevator system |
| CN105572493B (en) * | 2015-10-22 | 2018-05-04 | 北京建筑大学 | A kind of vehicle-mounted-ground subordinate inverter remote failure diagnosis system |
| CN105572492B (en) * | 2015-10-22 | 2018-05-04 | 北京建筑大学 | A kind of municipal rail train subordinate inverter trouble-shooter |
| US10547917B2 (en) | 2017-05-12 | 2020-01-28 | Otis Elevator Company | Ride quality mobile terminal device application |
| US10669121B2 (en) | 2017-06-30 | 2020-06-02 | Otis Elevator Company | Elevator accelerometer sensor data usage |
| EP3453667B1 (en) | 2017-09-07 | 2022-05-11 | Otis Elevator Company | Elevator sound systems |
| JP7056465B2 (en) * | 2018-08-23 | 2022-04-19 | 株式会社明電舎 | Abnormality sign detection system |
| CN110472563B (en) * | 2019-08-13 | 2022-04-26 | 浙江大学 | Vertical ladder vibration over-large fault diagnosis method based on wavelet packet decomposition and neural network |
| CN113213298B (en) * | 2021-05-18 | 2022-01-07 | 江苏荣泽信息科技股份有限公司 | Elevator running state intelligent detection system based on block chain |
| WO2023174501A1 (en) * | 2022-03-18 | 2023-09-21 | Kone Corporation | Solution for detecting an entity of an elevator system |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH092752A (en) * | 1995-06-20 | 1997-01-07 | Hitachi Building Syst Eng & Service Co Ltd | Elevator diagnosis device |
| JP4592123B2 (en) * | 1996-09-13 | 2010-12-01 | 東芝エレベータ株式会社 | Unsteady signal analyzer and medium on which unsteady signal analysis program is recorded |
| JP2001341956A (en) * | 2000-06-05 | 2001-12-11 | Toshiba Corp | Remote maintenance method and remote maintenance system for elevator |
-
2004
- 2004-08-18 JP JP2004238486A patent/JP4744826B2/en not_active Expired - Fee Related
-
2005
- 2005-08-11 MY MYPI20053774 patent/MY149247A/en unknown
- 2005-08-15 CN CNA2005800264884A patent/CN1993285A/en active Pending
- 2005-08-15 WO PCT/JP2005/015174 patent/WO2006019167A1/en active Application Filing
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101804932B (en) * | 2009-02-17 | 2013-04-24 | 株式会社日立制作所 | Abnormity diagnostic device and abnormity diagnostic method |
| CN103347807A (en) * | 2010-12-07 | 2013-10-09 | 因温特奥股份公司 | Elevator system having a sound receiver for capturing solid-borne sound |
| CN103347807B (en) * | 2010-12-07 | 2016-04-06 | 因温特奥股份公司 | There is the lift facility of the sound receiver for detecting solid borne noise |
| CN103998362A (en) * | 2011-12-14 | 2014-08-20 | 因温特奥股份公司 | Fault diagnosis of a lift system and the components thereof by means of a sensor |
| CN103998362B (en) * | 2011-12-14 | 2016-06-22 | 因温特奥股份公司 | Lift facility and parts thereof are by the fault diagnosis of sensor |
| CN102491140A (en) * | 2011-12-27 | 2012-06-13 | 阳西县电梯配件有限公司 | Characteristic-signal-based elevator safety checking device and elevator safety checking method |
| CN105164039A (en) * | 2013-02-26 | 2015-12-16 | 通力股份公司 | Elevator structure test |
| CN108630226A (en) * | 2018-05-08 | 2018-10-09 | 上海极歌企业管理咨询中心（有限合伙） | The artificial intelligence detection method and device of unmanned garage parking O＆M safety |
| CN110817628A (en) * | 2018-08-08 | 2020-02-21 | 北京感瞰科技有限公司 | Intelligent fault diagnosis method, device and system for elevator |
| CN109179120A (en) * | 2018-09-28 | 2019-01-11 | 广东马上到网络科技有限公司 | A kind of elevator or Escalator method for detecting abnormality and system |
| CN109855826A (en) * | 2019-03-05 | 2019-06-07 | 苏州德姆斯信息技术有限公司 | Lifting means vibration analysis system and vibration analysis method |
| CN112444314A (en) * | 2020-11-02 | 2021-03-05 | 中国电力科学研究院有限公司 | Reactor abnormity alarm system and method based on vibration noise |
Also Published As
| Publication number | Publication date |
|---|---|
| JP4744826B2 (en) | 2011-08-10 |
| JP2006056635A (en) | 2006-03-02 |
| MY149247A (en) | 2013-07-31 |
| WO2006019167A1 (en) | 2006-02-23 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN1993285A (en) | Elevator troubleshooting apparatus | |
| CN100349791C (en) | Method and arrangement for telemonitoring an elevator | |
| JP5897165B2 (en) | Elevator abnormality diagnosis device | |
| CN1825082A (en) | Automatic diagnosing system for rolling bearing fault | |
| JP5146008B2 (en) | Abnormality diagnosis apparatus and abnormality diagnosis method | |
| CN1260474C (en) | Monitoring the load of a wind energy plant | |
| CN1235105C (en) | System for diagnosing facility apparatus, managing apparatus and diagnostic apparatus | |
| JP5832258B2 (en) | Elevator abnormality diagnosis device | |
| EP4101802A1 (en) | Weighting sensor data with environmental data in a system for transportation of passengers | |
| CN1659427A (en) | Method and apparatus for diagnosing residual life of rolling element bearing | |
| CN1246921A (en) | Device for inspecting bearings of main motors of rolling stock | |
| CN1934433A (en) | Method and device for assessing remaining life of rolling bearing | |
| CN108375413B (en) | Fault collection for detecting vibration data | |
| JP2006234785A (en) | Abnormality diagnosis device and abnormality diagnosis method for mechanical equipment | |
| CN1696040A (en) | Method for measuring balance coefficient of elevator | |
| CN105372515A (en) | On-line status diagnosis device and on-line status diagnosis method for electric power utilities | |
| JP2017032520A (en) | State monitoring device and state monitoring method | |
| JP2006234786A (en) | Abnormality diagnostic device and abnormality diagnostic method for mechanical facility | |
| JP2013095554A (en) | Cage vibration monitoring device for elevator | |
| WO2014123443A1 (en) | Method and device for vibration diagnosis and forecasting sudden engine failure | |
| CN2876749Y (en) | Multifunctional bearing vibration tester | |
| CN112686279B (en) | Gear box fault diagnosis method based on K-means clustering and evidence fusion | |
| JP5476413B2 (en) | Diagnostic method for soundness of rotating machinery | |
| JP6733838B1 (en) | Rolling bearing abnormality diagnosis method and abnormality diagnosis device | |
| CN1548976A (en) | On-line monitoring system for turn-to-turn short circuit of generator rotor |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Open date: 20070704 |