CN106672722B - Machinery diagnosis device, machinery diagnosis method and machinery diagnosis system - Google Patents
Machinery diagnosis device, machinery diagnosis method and machinery diagnosis system Download PDFInfo
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- CN106672722B CN106672722B CN201610890230.9A CN201610890230A CN106672722B CN 106672722 B CN106672722 B CN 106672722B CN 201610890230 A CN201610890230 A CN 201610890230A CN 106672722 B CN106672722 B CN 106672722B
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Classifications
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- 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
- B66B5/0037—Performance analysers
-
- 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
- B66B5/0031—Devices monitoring the operating condition of the elevator system for safety reasons
-
- 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
- B66B5/0087—Devices facilitating maintenance, repair or inspection tasks
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- Maintenance And Inspection Apparatuses For Elevators (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
Abstract
A kind of machinery diagnosis device of present invention offer, machinery diagnosis method and machinery diagnosis system in the diagnosis of the action state of machine, can consider the influence of operating status to improve the accuracy of detection of exception or failure.The machinery diagnosis device for diagnosing the action state of multiple machines has：Similar machine selecting unit (6), based on the relevant information of operation frequency with multiple machines, the selection machine similar with the diagnosis subject machine in multiple machines from machine outside the diagnosis object in multiple machines；Reference data computing unit (7), the action state of the outer machine of diagnosis object based on similar machine selecting unit (6) selection, generates the reference data for being diagnosed to the action state for diagnosing subject machine；Judging unit (12) compares the action state of the reference data and diagnosis subject machine that are calculated by reference data computing unit (7), and it is without exception to judge that the action state of diagnosis subject machine has.
Description
Technical field
The present invention relates to a kind of machinery diagnosis device of the action state of the diagnosis machines such as elevator, machinery diagnosis method and
Machinery diagnosis system.
Background technology
Elevator is the device for conveying people in above-below direction in mansion, is the necessary device in Urban Space, therefore want
Elevator is asked to keep normal action state.For this reason, it may be necessary to the action state of elevator is diagnosed, and effectively detection exception or failure are come
It is handled rapidly.In this regard, known patent document 1 and the prior art described in patent document 2.
In the technology described in patent document 1, the electric current moved according to the coil midstream of the electromagnetic brake in elevator
To diagnose electromagnetic brake, whether there is or not remarkable actions for disorder.At this point, by being diagnosed after a certain period of time after elevator stopping.By
This, eliminates the influence of the temperature rise of coil for the disorderly detected value of electric current.
In the technology described in patent document 2, even if the elevator in fault diagnosis object is normal, the survey of runnability
When magnitude deviates standard determination value, the measured values of other elevators based on same specification sets decision content by oneself.
In the technology described in patent document 1, occurred according to the operation frequency of elevator due to the temperature rise of coil
Coil when changing, or the reduction of coil temperature as time goes by is influenced by outside atmosphere temperature, therefore diagnosing
Temperature is different.
In addition, in the technology described in patent document 2, even if the specification of elevator is identical, the measured value of runnability
It is also related to the operation frequency of elevator.
In this way, in the diagnosis by the elevator action state of the above-mentioned prior art, due to measured value or decision content by
The influence of the operating status or use environment of elevator, therefore consider that these are influenced to set the threshold for judgement in many cases
Value, so as to safely be diagnosed.In this case, even if actually measured value deviation in normal range, have
When can also be checked there are problems that the inspection causes the convenience of elevator customer to reduce to confirm.
Patent document 1：Japanese Unexamined Patent Publication 2000-351550 bulletins
Patent document 2：Japanese Unexamined Patent Publication 2005-170661 bulletins
Invention content
Therefore, the present invention is provided in a kind of diagnosis of the action state in machines such as elevators, it can be considered that operating status
Influence machinery diagnosis device, machinery diagnosis method and the machinery diagnosis system of the accuracy of detection to improve exception or failure.
In order to solve the above problems, machinery diagnosis device of the invention diagnoses the action state of multiple machines, has：Class
Like machine choice unit, based on the relevant information of operation frequency with multiple machines, outside the diagnosis object out of multiple machines
The machine similar with the diagnosis subject machine in multiple machines is selected in machine；Reference data computing unit, based on by similar
The action state of the outer machine of diagnosis object of machine choice Unit selection, to generate for the action state to diagnosing subject machine
The reference data diagnosed；Judging unit, the reference data that reference data computing unit is calculated and diagnosis subject machine
Action state be compared, judgement diagnosis subject machine action state have it is without exception.
In addition, in order to solve the above problems, machinery diagnosis method of the invention is to diagnose the action state of multiple machines
Method, based on the relevant information of operation frequency with multiple machines, from being selected in machine outside the diagnosis object in multiple machines
The machine similar with the diagnosis subject machine in multiple machines, the action state for diagnosing machine outside object based on selection, next life
At the reference data for being diagnosed to the action state for diagnosing subject machine, by the reference data of generation and diagnosis object machine
The action state of device is compared, and it is without exception to judge that the action state of diagnosis subject machine has.
Also, the present invention the multiple machines of machinery diagnosis system diagnostics action state, have for obtain with it is multiple
Multiple monitoring terminal devices of the operation relevant information of frequency of machine, and have center fixture, which has：Class
Like machine choice unit, based on the relevant information of operation frequency with multiple machines that monitoring terminal device obtains, from multiple
The machine similar with the diagnosis subject machine in multiple machines is selected in the outer machine of diagnosis object in machine；Reference data calculates
Unit, based on the action state of machine outside the diagnosis object selected by similar machine selecting unit, to generate for diagnosis
The reference data that the action state of subject machine is diagnosed；Judging unit, the benchmark that reference data computing unit is calculated
The action state of data and diagnosis subject machine is compared, and it is without exception to judge that the action state of diagnosis subject machine has.
By means of the invention it is possible to the diagnosis of the operating status of machine accounted for, so diagnostic accuracy improves.Therefore,
Abnormal omen can be detected, and maintenance is executed in timing appropriate, when thus, it is possible to reduce due to not run caused by safeguarding
Between, improve the convenience of user.
By being illustrated to following implementation, project, structure and effect other than the above can be specified.
Description of the drawings
Fig. 1 is the functional block diagram of the structure for the elevator diagnosis device for indicating embodiment 1.
Fig. 2 is by the operation frequency data of mobile frequency estimator presumption.
Fig. 3 is the table data used in the selection of similar elevator.
Fig. 4 is the sensing data of similar elevator and the reference data that reference data calculator calculates.
Fig. 5 is the sensor output value in reference data and an example of the relationship between temperature.
Fig. 6 is the functional block diagram of the structure for the elevator diagnosis device for indicating embodiment 2.
Fig. 7 is the structure chart of the diagnostic device of the elevator of embodiment 3.
The explanation of symbol
1a,1z：The number of starts obtains device
2a,2z：Run time obtains device
3a,3z：Elevator specification conservator
4a,4b,4z：Sensor
5a,5b,5z：Run frequency estimator
6：Similar elevator selector
7：Reference data calculator
8：Temperature variation arrester
9：Temperature control estimator
10：Temperature record
11：Temperature variation arrester
12：Judging device
13：Follower
14a,14b,14z：Mansion purposes conservator
21a,21b：Mansion
22：Central monitoring position
30：Communication line road network
31a,31b：Elevator
32a,32b：Monitoring terminal device
33：Center fixture
Specific implementation mode
Hereinafter, being explained with reference to the embodiment of the present invention.In the various figures, the identical part of reference number indicates identical
Structure important document or have the structure important documents of similar functions.
(embodiment 1)
The present invention considers the inclined of measured value caused by the influence due to the action state or use environment that diagnose subject machine
Difference changes, to carry out machinery diagnosis.
Fig. 1 is the functional block diagram of the structure of the diagnostic device for the elevator for indicating embodiment 1.
The number of starts of diagnosis object elevator is obtained device 1z, run time obtains device 2z, elevator specification conservator 3z, big
The data of tall building purposes conservator 14z are input to operation frequency estimator 5z, the operation frequency of presumptive diagnosis object elevator.
Although in addition, for being identical machine, a part of specification (number of floor levels, manned number, sedan-chair with diagnosis object elevator
Compartment speed etc.) different other elevators A, the number of starts is obtained into device 1a, run time obtains device 2a, elevator specification conservator
3a, mansion purposes conservator 14a each data input to operation frequency estimator 5a, estimate the operation frequency of other elevators A.Together
Sample is directed to elevator B, the number of starts (not shown) is also obtained device, run time obtains each number of device and elevator specification conservator
According to this and the data of mansion purposes conservator 14a shown in FIG. 1 input to operation frequency estimator 5b, estimate other elevators B's
Run frequency.In addition, also identical as elevator A, B for elevator (illustration omitted) outside the diagnosis object other than elevator A, B.
The operation frequency of elevator A, B etc. outside the diagnosis object by running the presumptions such as frequency estimator 5a, 5b, pass through fortune
The operation frequency of the diagnosis object elevator of line frequency degree estimator 5z presumptions inputs to similar elevator selector 6, selection operation frequency
Close to a multiple or outer elevator of diagnosis object (being denoted as below " similar elevator ") for diagnosis object elevator.
The input of reference data calculator 7 indicates the action state of outer elevator A, B of diagnosis object etc. (for example, electromagnetic brake
Coil current) the sensing data measured by sensor 4a, 4b etc., similar elevator selector 6 export with it is similar electric
The relevant data of ladder.Then, reference data calculator 7 selects similar from the sensing data of elevator outside the diagnosis object of input
The sensing data of elevator, and based on the sensing data selected come calculate as to diagnose object elevator action state into
The reference data for judging benchmark when row diagnosis.
7 calculated reference data of reference data calculator is inputed to temperature control estimator 9.In addition, also by gas
Warm data 10 input to temperature control estimator 9.Based on these data, temperature control estimator 9 estimates similar elevator
The temperature control of reference data.
The data of the sensor 4z of diagnosis object elevator, temperature record 10, the temperature estimated by temperature control estimator 9
Degree sensitivity data inputs to temperature variation arrester 11, is based on these data, and temperature variation arrester 11 is eliminated to diagnosis pair
As the temperature of elevator influences.In addition, 7 calculated reference data of reference data calculator, temperature record 10, by temperature sensitive
The temperature control that degree estimator 9 deduces is input to temperature variation arrester 8, is based on these data, temperature variation arrester 8
Eliminate the temperature variation of reference data.
Temperature variation arrester 8 is eliminated the reference data after temperature variation, is eliminated by temperature variation arrester 11
The sensing data of diagnosis object elevator after temperature variation inputs to judging device 12.Based on these data, judging device 12 is sentenced
Surely whether the sensing data of diagnosis object elevator is accommodated in relative to reference data in predetermined range, and its result is exported
To follower 13.Follower 13 in the form of scheduled (image, word, sound etc.) come show judging device 12 export judgement knot
Fruit.
In Fig. 1, elevator specification conservator (3z, 3a etc.), mansion purposes conservator (14z, 14a, 14b etc.) are by semiconductor
The storage devices such as memory are constituted.In addition, for each functional block other than sensor or temperature record, pass through personal computer etc.
The computer system for having arithmetic processing apparatus executes scheduled program, is acted as each functional block.
Then, illustrate the process content for running frequency estimator (5z, 5a, 5b etc.) using Fig. 2.
Fig. 2 is to indicate the startup time of elevator by the operation frequency data of the mobile frequency estimator presumption in the present embodiment 1
The relationship of number and run time.In addition, in fig. 2, concentrating and illustrating by the operation frequency of multiple operation frequency estimator presumptions
Data.
The operation frequency of elevator and startup time, the number of starts, the specification of elevator, mansion purposes are (corresponding with mansion electric
Terraced application method) etc. indexs it is related.First, the number of starts and run time are indicated according to mansion purposes, the specification of elevator
Relationship.Mansion purposes, the specification of elevator, each data of the number of starts and run time are respectively from mansion purposes conservator
(14z, 14a, 14b etc.), elevator specification conservator (3z, 3a etc.), the number of starts obtain device (1z, 1a etc.) and run time takes
Obtain device (2z, 2a etc.) input.
In fig. 2, multiple marks are divided into the mark group in same line, i.e., between the number of starts and run time
Relationship identical group of a, b, c.Here, group a, b, c indicate the difference of elevator specification.Even if being directed to identical run time, often
The group number of starts is also different.For example, for identical run time, shuttle the opening of the elevator of operation to the top layer of skyscraper
Dynamic number is fewer than the elevator of 2 floors.Although in addition, be not expressly recited in fig. 2, even if in identical group, due to big
The mobility scale of the difference of tall building purposes, mark is also different.In addition, when being the number of starts and the operation based on elevator in fig. 2
Between come the example that is grouped, only an index only can also be passed through by the number of starts of elevator or like that by run time
To be grouped.Index for carrying out operation frequency grouping is more, more can carry out finer grouping.
Such grouping is carried out, that is, it is the sensor number since it is considered that the sensor 4z of diagnosis object elevator to carry out classification
It is specifically influenced by the number of starts per unit time according to by operation frequency.For example, due to opening per unit time
Dynamic number and so that the temperature of coil is changed, therefore when the sensing data of the coil current of electromagnetic brake is by per unit
Between the maximum number of starts influence.In view of this point, by similar elevator selector 6, selection operation frequency, application method with
The outer elevator of the identical diagnosis object of diagnosis object elevator is used as the ratio for being suitable for effectively being diagnosed to diagnosis object elevator
Compared with object.
Then, the process content of similar elevator selector 6 is illustrated using Fig. 3.
Fig. 3 indicates the table data used in the selection of similar elevator.About the table data, it is based on from operation frequency presumption
The operation frequency data (include information related with elevator specification (group a, b, c in Fig. 2)) of device (5z, 5a, 5b etc.) input, with
And the mansion purposes data inputted from mansion purposes conservator (14z, 14a, 14b etc.), it is generated by similar elevator selector 6
And it is updated.
In table data shown in Fig. 3, by group a, b, a c, that is, elevator specification, indicate operation frequency index α, β, γ and
Mansion purposes 1,2,3 (being recorded as Roman number in figure 3) is used as parameter, will become multiple elevators classification of diagnosis object
For any one group in group (1)~(9).In addition, in this Fig. 3, three combinations of group (specification) and index are illustrated, but
Including the different situation of identical group of index or the identical situation of different group indexs.For example, in figure 3, as group (specification)
With the combination of index, (a, α) is illustrated, also may include (a, β).
Here, by the formula or transformation rule that are set in similar elevator selector 6 in advance, from operation frequency estimator
The operation frequency data reduction index of input.For example, for brake, the maximum number of starts per unit time becomes main
Index.In addition, by specific numerical value or numberical range come performance indicators.
Similar elevator selector 6 changes the operation frequency data inputted from the operation frequency estimator 5z of diagnosis object elevator
Calculate be index, and from the table data of Fig. 3 extraction with conversion after index and from mansion purposes conservator 14z input mansion
The corresponding elevator of purposes data, and the elevator of extraction is exported as similar elevator.In figure 3, selection belongs to group (4)
The outer elevator of diagnosis object is used as similar elevator, the index and mansion purposes of the group (4) and the operation from diagnosis object elevator
The mansion purposes 1 of index β (corresponding group (specification) is b), diagnosis object elevator that frequency converses are unanimously.
In addition, using mansion purposes in mobile frequency presumption, and mansion is reused in order to select similar elevator
Purposes, this is because in view of the variation of property during the elevator operation associated with mansion purposes is (for example, seasonal change
It is dynamic).For example, when the user of the medium elevator of long holiday is reduced, the operating status of elevator changes.Therefore, as quilt
It is set as the similar elevator of comparison other, the preferably identical elevator of mansion purposes.
Then, the process content of reference data calculator 7 is illustrated using Fig. 4.
The reference data that Fig. 4 indicates the sensing data of similar elevator and calculated by reference data calculator 7.
Reference data calculator 7 arranges each sensing for the elevator (A, B, C etc.) for being judged as similar elevator with time series
Device data.As a result, as shown in figure 4, for each similar elevator, the data for indicating to change at the time of sensing data are obtained.Base
In these data, reference data calculator 7 calculates benchmark (value) and deviation in identical timing i.e. phase in the same time range, and will
It is as reference data.At this point, as a reference value, the average value of the sensing data of similar elevator (A, B, C etc.), centre are used
Value, maximum value, minimum value etc., corresponding to being determined whether the action state of abnormal elevator (for example, electromagnetism according to sensing data
Coil current, elevator door switch signal of brake etc.) type, using being suitable for obtaining the index of certain judgement result.
In addition, as deviation, the index of the size of data deviation is indicated using standard deviation, its integer multiple etc..
The data of phase in each sensing data of the reference data calculator 7 based on time series range in the same time calculate
Reference data, even this is because the identical similar elevator of operation frequency, causes to sense because of the difference in installation period etc.
The acquirement moment range of device data is different, or if moment range difference elevator by temperature change influenced difference.
In addition, time interval when about with time series arrangement sensing data, presets, can suitably set in the sensor
It is set to 1 day, 1 week, 1 month etc..
Then, the process content of temperature control estimator 9 is illustrated using Fig. 5.
An example of relationship between sensor output value and temperature in Fig. 5 expression reference datas.
Temperature control estimator 9 finds out sensor output for example shown in fig. 5 according to reference data and temperature record 10
Relationship between temperature.The temperature sensor that temperature record 10 can be had by mansion or elevator measures, and can also make
The meteorological data of region where mansion or elevator.As shown in figure 5, if temperature has related close between being exported to sensor
System, then temperature control estimator 9 is based on the correlativity presumption transducer sensitivity opposite with temperature.In Figure 5, to mark
The inclination of straight line of each point when having carried out straight line approximation be equivalent to the transducer sensitivity opposite with temperature (temperature control).
Temperature control estimator 9 uses the corresponding calculating side of the correlativity imagined in advance between sensor output and temperature
Method, for example, the correlativity of (linear function) if it is the such straight lines of Fig. 5, then pushed away using well known least squares method etc.
Determine temperature control.
Then, illustrate the process content of temperature variation arrester 8,11.
Temperature control of the temperature variation arrester 8 based on the sensing data deduced by temperature control estimator 9
And temperature record 10 (being obtained from temperature control estimator 9 with together with reference data), presumption is counted by reference data calculator 7
The temperature variation ingredient for including in the reference data of calculating, and the variance components deduced are eliminated from reference data.In addition, warm
Degree changes arrester 11 and similarly eliminates temperature variation ingredient from the sensing data of diagnosis object elevator.For example, for Fig. 5
When the correlativity of such linear function, if temperature control (inclination of near linear) is set as α, by fiducial temperature
(temperature) is set as T0, then in the sensing data S (T) of temperature T α (T- are shown as relative to the temperature variation of fiducial temperature
T0).Therefore, if subtracting α (T-T from S (T)0), then from sensing data (reference data, the sensor number for diagnosing object elevator
According to) eliminate temperature variation ingredient.
Such temperature in use changes arrester 8,11 and disappears from the sensing data of reference data and diagnosis object elevator
Except temperature component, thus in the judgement of aftermentioned judging device 12, the difference that the temperature between two data influences can be excluded.Cause
This, can improve judgement precision.
In addition, the temperature dependency hour of the physical quantity represented by sensing data, it is convenient to omit temperature control pushes away
Determine device 9 and temperature variation arrester 8,11.
Then, illustrate the process content of judging device 17.
The judgement of judging device 12 eliminates the sensing of the diagnosis object elevator after temperature variation by temperature variation arrester 11
Device data eliminate the reference data after temperature variation with respect to temperature variation arrester 8, if are accommodated in and scheduled sentence
In the range of determining benchmark.For example, judging device 17 is directed to the sensing data as diagnosis object elevator, there is measurement time letter
The time series data of the time series data of breath and reference data with time information calculates square mistake at each moment
Difference, and calculate the average value of calculated each square error, i.e. mean square error.If calculated mean square error is scheduled
Determinating reference value is hereinafter, then judging device 12 is determined as just about the relevant diagnosis content of sensing data with diagnosis object elevator
Often, if calculated mean square error is more than scheduled determinating reference value, it is determined as exception.Then, it is determined that device 12 will judge
As a result it is output to follower 13.
Output section 13 by image, word, sound etc. come show judging device 12 export judgement as a result, i.e. with have it is without exception
Relevant information.At this point, can also with have together with relevant information without exception, display diagnosis object elevator sensing data
And reference data.At this point, judging device 12 will judge that result is exported to follower 13, and transmitted to follower 13 for judging
Sensing data and reference data.Thereby, it is possible to certainly study abnormal cause.
As described above, according to the present embodiment 1, elevator outside the diagnosis object similar with object elevator is diagnosed by frequency is run
As benchmark, the action state to diagnosing object elevator diagnoses action state, therefore the diagnostic accuracy of action state and can
It is improved by property.Also, similar elevator is selected with purposes also according to the specification of elevator, thus setting is suitable for diagnosing object elevator
Reference data, so diagnostic accuracy and reliability improve.Even if especially in the normal model according to application method action state
Enclose the case where being changed or lack as newly-installed elevator or practical using in the case of achievement, without into
Row confirms operation for setting the action state of determinating reference, can set and positively determine that determinating reference without exception.
In addition, through this embodiment 1, because from the sensing data and base of the action state for indicating diagnosis object elevator
Temperature variation ingredient is eliminated in quasi- data, so even if being become due to the temperature of temperature or use environment in action state
When dynamic, precision and the high diagnosis of reliability can be also carried out.
In addition, the machinery diagnosis method of the present embodiment 1 can be suitable for brake gear, the door switch unit etc. elevator
Various elevator machines.Also, the machinery diagnosis method of the present embodiment 1 is not limited to elevator machine, additionally it is possible to be suitable for air conditioner or
Refrigerator, home appliance, construction machine, millwork etc. carry out the various machines of action state diagnosis.
(embodiment 2)
Fig. 6 is the functional block diagram of the structure for the elevator diagnosis device for indicating the embodiment of the present invention 2.Hereinafter, main pair and reality
The different point of example 1 is applied to illustrate.
In the present embodiment 2, with embodiment 1 the difference lies in that about to operation frequency estimator (5z, 5a, 5b etc.)
Input data, input the number of starts, run time, the elevator specification of elevator specification and mansion on the way in embodiment 1
With mansion purposes, the number of starts and run time are not as input data.This is because usual mansion purposes and elevator specification
The application method of identical elevator is also identical, therefore, it is considered that the number of starts and run time are also same degree.
In the present embodiment 2, operation frequency estimator (5z, 5a, 5b etc.) from elevator specification conservator (3z, 3a etc.) and
Mansion purposes conservator (14z, 14a, 14b etc.) obtains elevator specification data and mansion purposes data respectively, arranges these numbers
Similar elevator selector 6 is inputed to according to as operation frequency data.Similar elevator selector 6 is by elevator specification data and mansion
Purposes data are as parameter, using the table data for being classified elevator, to select and diagnose the elevator specification of object elevator
Data and the outer elevator of the consistent diagnosis object of mansion purposes data.
Through this embodiment 2, by by elevator outside specification and mansion purposes the diagnosis object similar with diagnosis object elevator
Action state as benchmark, thus can will substantially run frequency and elevator outside the similar diagnosis object of diagnosis object elevator
Action state as benchmark.Therefore, same as Example 1, the diagnostic accuracy and reliability of action state improve.Also, because
To have simplified the processing run in frequency estimator and similar elevator selection, so the speed of diagnosis improves.
In addition, the machinery diagnosis method of the present embodiment 2 is same as Example 1, various elevator machines can be suitable for, and
It is not limited to elevator machine, can be suitable for carrying out the various machines of action state diagnosis.
In embodiment 1 as described above and embodiment 2, the number of starts per unit time can be actually being measured
In the case of, the actual measured value of the number of starts per unit time can be selected similar elevator as operation frequency.In addition,
In the case where the various data for selecting similar elevator can be measured, the data measured can also be used.
In addition, in Fig. 1, Fig. 6, for each elevator, it is illustrated that sensor be 1, however, it is not limited to this or
It is multiple.At this point, after can also formerly determining similar elevator, selection class corresponding with the diagnosis sensing data of object elevator
Like the sensing data of elevator.In addition, when physical phenomenon difference as each sensing data the main reason for, it is not used only
Judgement can include with the parameter in scheduled allowable range similar to the consistent sensing data of the parameter of elevator
Sensing data selects similar elevator.
(embodiment 3)
Fig. 7 indicates the structure chart of the elevator diagnostic system of the embodiment of the present invention 3.
In mansion 21a, 21b, it is respectively provided with elevator 31a, 31b.In the elevator controlling of elevator 31a, 31b (not shown)
In device, it is separately connected monitoring terminal device 32a, 32b.Monitoring terminal device based on the signal from elevator control gear,
It obtains and stores the relevant information of operation frequency with elevator, for example, the number of starts and run time.In addition, monitoring terminal
Device obtains and stores the sensor number of the action state of the expression elevator for the sensor output (not shown) having from each elevator
According to.Also, monitoring terminal device stores elevator specification data and the mansion purposes data of elevator.
In addition, in the central monitoring position 22 of the position setting of the position of geographically-distant mansion 21a, 21b, it is provided with
Center fixture 33 for the operating status for monitoring multiple elevators (being in the figure 7 31a, 31b).
Monitoring terminal device 32a, 32b is periodically or according to the instruction sent from center fixture 33 via communication line road network 30
Signal, what will be stored runs the relevant information of frequency, elevator specification data, the mansion purposes data of elevator and biography with elevator
Sensor data are sent to center fixture 33 via communication line road network 30.
Center fixture 33 is based on receiving and the relevant information of operation frequency of elevator, elevator specification data, elevator
Mansion purposes data and sensing data, generate and update the table data shown in Fig. 3 for selecting similar elevator, and with
Embodiment 1 and embodiment 2 in the same manner, select the outer elevator of the diagnosis object similar with the elevator of diagnostic action state to calculate base
Reference data is compared to judgement diagnosis pair by quasi- data with the sensing data of the action state of diagnosis object elevator is indicated
As the action state of elevator have it is without exception.
As more specific apparatus structure, monitoring terminal device has Fig. 1, the operation frequency phase shown in Fig. 2 with elevator
Pass information acquisition unit (number of starts obtain device (Fig. 1), run time obtain device (Fig. 1), elevator specification conservator (Fig. 1,
Fig. 2), mansion purposes conservator (Fig. 1, Fig. 2)) and operation frequency estimator, and have the biography (not shown) in Fig. 1, Fig. 2
Sensor data obtain device and sensing data conservator.In addition, center fixture 33 has Fig. 1, similar elevator choosing shown in Fig. 2
Select device, reference data calculator, temperature control estimator, temperature variation arrester, judging device and follower.In addition, moving
Dynamic estimator can also centrally disposed device.
Through this embodiment, identical as embodiment 1,2, the diagnostic accuracy and reliability of action state improve.In addition, can
The action state of the multiple elevators for the position setting being geographically located remotely from each other uniformly is diagnosed by center fixture.
In addition, the machinery diagnosis system of the present embodiment 3 is not limited to elevator, can be suitable for carrying out each of action state diagnosis
Kind machine.
Also include various version in addition, the present invention is not limited to the above embodiments.For example, above-mentioned
Embodiment is the detailed description in order to understandable illustrating the present invention and carrying out, but is not limited to the whole knots that must have explanation
Structure.It/is eliminated/in addition, can be added for a part for each example structure and replaces with other structures.
Claims (11)
1. a kind of machinery diagnosis device, diagnoses the action state of multiple machines, which is characterized in that have：
Run frequency scavenging valve, run time, the number of starts, the specification of machine based on machine, at least appointing on the way
Meaning one, to estimate operation frequency；
Similar machine selecting unit, based on the relevant information of operation frequency with the multiple machine, from the multiple
The machine similar with the diagnosis subject machine in the multiple machine is selected in the outer machine of diagnosis object in machine；
Reference data computing unit, based on outside the diagnosis object selected by the similar machine selecting unit machine it is dynamic
Make state, to generate the reference data diagnosed for the action state to the diagnosis subject machine；And
Judging unit, the reference data that the reference data computing unit is calculated and the diagnosis subject machine are moved
It is compared as state, to judge that it is without exception that the action state of the diagnosis subject machine has,
The purposes of the similar machine selecting unit based on machine, to select the similar machine.
2. machinery diagnosis device according to claim 1, which is characterized in that
Sensor with the action state that can measure the diagnosis subject machine,
The reference data computing unit generates the reference data based on the sensing data of the information with measurement time.
3. machinery diagnosis device according to claim 1, which is characterized in that
The reference data computing unit based on it is multiple it is described diagnosis objects outside machine phases in the same time range action state come
Generate the reference data.
4. machinery diagnosis device according to claim 1, which is characterized in that
Have temperature variation and eliminate unit, it is related to action state based on temperature data, temperature which eliminates unit
Relationship eliminates temperature variation ingredient from the reference data and the action state for diagnosing subject machine,
The judging unit compares eliminates the base value after unit eliminates temperature variation ingredient by the temperature variation
According to this and it is described diagnosis subject machine action state, come judge it is described diagnosis subject machine the action state be no different
Often.
5. machinery diagnosis device according to claim 4, which is characterized in that
The temperature data is obtained from weather information.
6. machinery diagnosis device according to claim 4, which is characterized in that
The temperature data is obtained by temperature sensor.
7. machinery diagnosis device according to claim 4, which is characterized in that
Has temperature control scavenging valve, which is based on the reference data and the temperature number
According to estimate the correlativity.
8. machinery diagnosis device according to claim 1, which is characterized in that
Have multiple sensors, multiple sensor detects the action state of the diagnosis subject machine and the diagnosis
The action state of the outer machine of object.
9. machinery diagnosis device according to claim 1, which is characterized in that
The multiple machine is multiple elevators.
10. a kind of machinery diagnosis method, diagnoses the action state of multiple machines, which is characterized in that
Run time, the number of starts, the specification of machine based on machine, on the way at least any one, to estimate operation frequency
Degree,
Based on the relevant information of operation frequency with the multiple machine, machine outside the diagnosis object out of the multiple machine
The machine similar with the diagnosis subject machine in the multiple machine is selected in device,
Based on the action state of machine outside the diagnosis object selected, to generate for being moved to the diagnosis subject machine
The reference data diagnosed as state,
The action state of the reference data of generation and the diagnosis subject machine is compared, to judge described examine
The action state of disconnected subject machine have it is without exception,
Purposes based on machine, to select the similar machine.
11. a kind of machinery diagnosis system, diagnoses the action state of multiple machines, which is characterized in that have：
Multiple monitoring terminal devices obtain the relevant information of operation frequency with the multiple machine；And
Center fixture,
The center fixture has：
Run frequency scavenging valve, run time, the number of starts, the specification of machine based on machine, at least appointing on the way
Meaning one, to estimate operation frequency；
Similar machine selecting unit, the operation frequency with the multiple machine obtained based on the monitoring terminal device
Relevant information, selection and the diagnosis object in the multiple machine from machine outside the diagnosis object in the multiple machine
Machine as machine type；
Reference data computing unit, based on outside the diagnosis object selected by the similar machine selecting unit machine it is dynamic
Make state, to generate the reference data diagnosed for the action state to the diagnosis subject machine；And
Judging unit, the reference data that the reference data computing unit is calculated and the diagnosis subject machine are moved
It is compared as state, to judge that it is without exception that the action state of the diagnosis subject machine has,
The purposes of the similar machine selecting unit based on machine, to select the similar machine.
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| JP2015220172A JP2017088314A (en) | 2015-11-10 | 2015-11-10 | Equipment diagnostic apparatus, equipment diagnostic method, and equipment diagnostic system |
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| JP6790006B2 (en) * | 2018-02-27 | 2020-11-25 | 三菱重工マリンマシナリ株式会社 | Condition diagnosis device, condition diagnosis method, and condition diagnosis program |
| JP6806287B2 (en) * | 2018-06-19 | 2021-01-06 | 三菱電機ビルテクノサービス株式会社 | Temperature transition identification device, maintenance planning system and elevator system |
| WO2021098634A1 (en) * | 2019-11-19 | 2021-05-27 | Electrical And Mechanical Services Department, The Government Of Hong Kong Special Administrative Region | Non-intrusive data analytics system for adaptive intelligent condition monitoring of lifts |
| CN112390102B (en) * | 2020-11-02 | 2022-06-21 | 上海三菱电梯有限公司 | Elevator monitoring system and elevator monitoring method |
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