CN109581109A - A kind of state of elevator multi-information fusion diagnostic method - Google Patents
A kind of state of elevator multi-information fusion diagnostic method Download PDFInfo
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- CN109581109A CN109581109A CN201811481703.5A CN201811481703A CN109581109A CN 109581109 A CN109581109 A CN 109581109A CN 201811481703 A CN201811481703 A CN 201811481703A CN 109581109 A CN109581109 A CN 109581109A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M99/00—Subject matter not provided for in other groups of this subclass
- G01M99/005—Testing of complete machines, e.g. washing-machines or mobile phones
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Abstract
The invention discloses a kind of state of elevator multi-information fusion diagnostic method, steps are as follows: by accompanying, detection device detects elevator, obtains the current each state parameter of elevator as testing result；The testing result obtained is input in integrated diagnostic system, parameters when integrated diagnostic system operates normally elevator current each state parameter with the elevator in detection module are compared, and generate comparison result by judgement；Comparison result is input to diagnostic result integration system；Diagnostic result integration system integrates comparison result, final output diagnostic result.Entire detection process of the invention is not necessarily to human intervention, effectively avoid influence of the subjective factor as caused by human intervention for result, and reduce the workload of people, substantially increase the efficiency of detection, at low cost, high reliablity solves present elevator detection and needs the problems such as low efficiency, large labor intensity, poor reliability by the way of artificially comparing.
Description
Technical field
The invention belongs to the technical field of elevator detection more particularly to a kind of state of elevator multi-information fusion diagnostic methods.
Background technique
Currently, there is many situations and many data to need if necessary to artificial treatment in the work of elevator detection
A large amount of manpower and time are consumed, the processing practical operation of multi information is got up also relatively difficult, and there is very in practical applications
More problems, do not have an operability, and are carried out judgement due to artificial and can be led to the generation of many problems due to the fault of people,
This is relatively low using man efficiency to will bring very big hidden danger to the safe operation of elevator, and largely, extends inspection
The period is surveyed, the cost of detection is increased.
Therefore, it is necessary to a kind of better detection technique be designed, to solve the above problems.
Summary of the invention
Based on the above the deficiencies in the prior art, technical problem solved by the invention is to provide a kind of state of elevator and believes more
Fusion diagnosis method is ceased, manually-operated workload is reduced, improves the efficiency of detection.
In order to solve the above-mentioned technical problem, the present invention is achieved through the following technical solutions:
The present invention provides a kind of state of elevator multi-information fusion diagnostic method, comprising the following steps:
Step 1: by accompanying, detection device detects elevator, obtains the current each state parameter of elevator as inspection
Survey result；
Step 2: the testing result that detection device obtains that will accompany is input in integrated diagnostic system, and integrated diagnostic system will
Parameters when the current each state parameter of elevator is operated normally with the elevator in detection module are compared, by sentencing
Medium well is at comparison result；
Step 3: comparison result is input to diagnostic result integration system；
Step 4: diagnostic result integration system integrates comparison result, final output diagnostic result.
Preferably, the integrated diagnostic system include the A standard being made of the parameter stored by A standard detection module and by
The B standard that parameter stored by B standard detection module is constituted；
When accompany detection device feedback testing result and A standard be not inconsistent when, data can automatically with the data of B standard
It is compared, if testing result is not inconsistent with B standard also, exports that " elevator goes out outward by the integration of diagnostic result integration system
It is now abnormal "；
The data not being inconsistent with A standard still if testing result is consistent with B standard pass through feedback channel feedback and examine to retinue
Device is surveyed to be rechecked.
Further, the testing result after the reinspection of retinue detection device meets A standard, and result integration system is integrated after diagnosing
Afterwards, " elevator is normal " is exported；
If the testing result after reinspection does not meet A standard, after result integration system integration after diagnosing, " elevator occurs for output
It is abnormal ".
Optionally, the diagnostic result integration system can recognize the data that integrated diagnostic system is exported, after integration
Automatic output diagnostic result.
By upper, state of elevator multi-information fusion diagnostic method of the invention detects elevator trailing using integrated diagnostic system
Device testing result is handled, and is reduced the artificial work for participating in detection, is used state of elevator multi-information fusion diagnostic method
Testing result is directly exported it is simpler effectively, it is artificial to compare consumption since retinue detection device testing result data are various
Time it is long and be likely to occur due to the subjective reason of comparison person in comparison process influence the final detection of elevator as a result,
The agility and reliability of detection are not can guarantee, detection can be directly generated by detecting using integrated diagnostic system to elevator
Parameters in examining report are compared existing for this mode with acceptance condition as a result, effective solution is artificial
Drawback, and the artificial mode low efficiency that examining report parameters are compared, period length, high labor cost, reliably
Property it is poor, there is also the possibility that testing result is influenced due to subjective reason, are diagnosed using state of elevator multi-information fusion of the invention
Method can significantly shorten the period, reduce cost, improve efficiency and reliability, and not need manually to participate in detecting
Journey will not influence testing result due to the subjective factor of people.
The above description is only an overview of the technical scheme of the present invention, in order to better understand the technical means of the present invention,
And it can be implemented in accordance with the contents of the specification, and in order to allow above and other objects, features and advantages of the invention can
It is clearer and more comprehensible, below in conjunction with preferred embodiment, and cooperates attached drawing, detailed description are as follows.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, the attached drawing to embodiment is simply situated between below
It continues.
Fig. 1 is the flow chart of state of elevator multi-information fusion diagnostic method of the invention；
Fig. 2 is the detection program chart of state of elevator multi-information fusion diagnostic method of the invention.
In figure, A standard is the standard that elevator testing result is " normal ", and B standard is that elevator testing result is " reinspection "
Standard.
Specific embodiment
The embodiment of the invention will now be described in detail with reference to the accompanying drawings, and as part of this specification passes through
Embodiment illustrates the principle of the present invention, and other aspects of the present invention, feature and its advantage will become by the detailed description
It is very clear.In the attached drawing of institute's reference, the same or similar component is indicated using identical drawing reference numeral in different figures.
State of elevator multi-information fusion diagnostic method of the invention is mainly used in the detection work in city for elevator,
Manually-operated workload is reduced, the efficiency of detection is improved, as shown in Figure 1 to Figure 2, state of elevator multi-information fusion of the invention
Diagnostic method includes retinue detection device, integrated diagnostic system, diagnostic result integration system, and retinue detection device carries out elevator
The testing result of detection is input to integrated diagnostic system, the detection knot that integrated diagnostic system is fed back by reading retinue detection device
Parameters when fruit operates normally with pre-set elevator are compared, and comparison result is input to diagnostic result integration system
System, the diagnostic result integration system can recognize the data that integrated diagnostic system is exported, the output diagnosis automatically after integration
As a result, diagnostic result integration system integrates comparison result, and final output diagnostic result, integrated diagnostic system of the invention
High modularization, motion state, power supply state, load condition and internal state, external shape in system comprising elevator
The information of several states such as the state and information of different conditions is divided in disparate modules, the parameter stored by module all with elevator
Some state it is related, and module all has two sets of standards, when the testing result of retinue detection device feedback meets A standard
When, result integration system output " elevator is normal " after diagnosing；When the testing result of retinue detection device feedback is not inconsistent with A standard
When, the data of these modules can be compared with the data of B module automatically, if data there is also not being inconsistent with B standard, by examining
The integration of disconnected result integration system exports " elevator occurs abnormal " outward, while the number not being inconsistent with A standard still that is consistent with B standard
According to the corresponding state of elevator of place module, can be fed back by feedback channel into retinue detection device, detection device of accompanying is to electricity
These states of ladder are rechecked, and the data after reinspection are again inputted into integrated diagnostic system and are compared with A, if
It still remains and is not inconsistent with A standard, output " elevator occurs abnormal " after the integration of diagnostic result integration system, if accompanying detection after reinspection
The testing result of device feedback meets A standard, exports " elevator is normal ".
Wherein the detection module of integrated diagnostic system pre-sets the standard A and detection that elevator testing result is " normal "
It as a result is the standard B of " reinspection ", therefore during system is detected, the inspection that retinue detection device detects elevator
The data for surveying result will first be compared with standard A, be compared again with B standard if not meeting A standard, final by judging
Export judging result, state of elevator multi-information fusion diagnostic method through the invention can quick output test result, be not necessarily to
It is artificial to participate in detection process, improve the efficiency of detection and the reliability of testing result.
Standard is prior-entered in integrated diagnostic system by the present invention, and the feedback result of elevator is input in control system,
By the judgement of standard A, judge whether corresponding state of elevator is normal, to be " normal " go back to the elevator state-detection result
It is to continue with the program judgement for carrying out next step, the artificial degree for participating in detection is relatively low, and the labour for reducing cost of labor and people is strong
Degree saves the time, solve the problems, such as it is artificial this method be compared with data to testing result exist, can to avoid by
In the human factors such as the carelessness of staff cause the problem of.
As shown in Figure 1, state of elevator multi-information fusion diagnostic method of the invention first passes through retinue detection device to elevator
Detected, obtain the current each state parameter of elevator as testing result, the testing result that retinue detection device is obtained
It is input in integrated diagnostic system, first will test result and judgement inspection result is compared with A standard, then A mark will not met
Quasi- testing result is compared with B standard, judges whether to meet Criteria of reexamination, the elevator for meeting Criteria of reexamination is answered
Inspection, does not meet the module of Criteria of reexamination, the diagnostic result of output " elevator occurs abnormal " after result integration system integration after diagnosing；
Elevator for meeting Criteria of reexamination carries out reinspection and regenerates testing result, and integrated diagnostic system is to newly-generated testing result
It is compared with A standard, if reinspection result meets A standard, result integration system is integrated after diagnosing, and output result is " elevator
Normally "；If not meeting A standard, after result integration system integration after diagnosing, the diagnostic result of output " elevator occurs abnormal ".This
The mode of sample solves, elevator all kinds of state complexs various in elevator number, and elevator is examined in the case that detection work is huge
The efficiency of survey improves a lot, and this mode participates in during detection without artificial, reduces the work of operator
It measures, while effectively avoiding because artificially supervising safety problem caused by unfavorable and testing staff carelessness, for electricity
A kind of new approaches have been started in the detection of ladder.
The present invention detects elevator by the retinue detection device on elevator, obtains the current each state ginseng of elevator
Number is used as testing result, and is entered into integrated diagnostic system, and integrated diagnostic system joins the current each state of elevator
Parameters when number is operated normally with the elevator in the pre-set programs of detection module are compared, and judge to generate by program
As a result.Integrated diagnostic system have by testing result judge elevator whether be in normal condition, whether should carry out recheck and
There is abnormal function in elevator, and comprehensive diagnos can read the testing result that retinue detection device is transmitted and can feed back to
Whether retinue detection device, the elevator are rechecked, and integrated diagnostic system can export normal and abnormal signal, pass through
Diagnostic result integration system outwardly output test result, entire detection process are not necessarily to human intervention, effectively avoid due to
Influence of the subjective factor caused by human intervention for result, and the workload of people is reduced, the process control speed of service
It is far longer than the speed artificially compared, substantially increases the efficiency of detection, speed is fast, at low cost, labor intensity is low, reliability
Height solves present elevator detection and needs low efficiency, large labor intensity, poor reliability etc. are many by the way of artificially comparing to ask
Topic.
The above is a preferred embodiment of the present invention, cannot limit the right model of the present invention with this certainly
It encloses, it is noted that for those skilled in the art, without departing from the principle of the present invention, may be used also
To make several improvement and variation, these, which improve and change, is also considered as protection scope of the present invention.
Claims (4)
1. a kind of state of elevator multi-information fusion diagnostic method, which comprises the following steps:
Step 1: by accompanying, detection device detects elevator, obtains the current each state parameter of elevator as detection knot
Fruit；
Step 2: the testing result that obtains of detection device that will accompany is input in integrated diagnostic system, and integrated diagnostic system is by elevator
Parameters when current each state parameter is operated normally with the elevator in detection module are compared, and are given birth to by judgement
At comparison result；
Step 3: comparison result is input to diagnostic result integration system；
Step 4: diagnostic result integration system integrates comparison result, final output diagnostic result.
2. state of elevator multi-information fusion diagnostic method as described in claim 1, which is characterized in that the integrated diagnostic system
It is constituted including the A standard being made of the parameter stored by A standard detection module and by the parameter stored by B standard detection module
B standard；
When the testing result for detection device feedback of accompanying and A standard are not inconsistent, data can be carried out with the data of B standard automatically
Compare, if testing result is not inconsistent with B standard also, exports that " elevator occurs different by the integration of diagnostic result integration system outward
Often "；
The data not being inconsistent with A standard still if testing result is consistent with B standard pass through feedback channel feedback to retinue detection dress
It sets and is rechecked.
3. state of elevator multi-information fusion diagnostic method as claimed in claim 2, which is characterized in that retinue detection device reinspection
Testing result afterwards meets A standard, after result integration system integration after diagnosing, exports " elevator is normal "；
If the testing result after reinspection does not meet A standard, after result integration system integration after diagnosing, " elevator occurs different for output
Often ".
4. state of elevator multi-information fusion diagnostic method as described in claim 1, which is characterized in that the diagnostic result integration
System can recognize the data that integrated diagnostic system is exported, and export diagnostic result automatically after integration.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811481703.5A CN109581109A (en) | 2018-12-05 | 2018-12-05 | A kind of state of elevator multi-information fusion diagnostic method |
| PCT/CN2019/121687 WO2020114315A1 (en) | 2018-12-05 | 2019-11-28 | Elevator status multi-information fusion diagnosis method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811481703.5A CN109581109A (en) | 2018-12-05 | 2018-12-05 | A kind of state of elevator multi-information fusion diagnostic method |
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| Publication Number | Publication Date |
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| CN109581109A true CN109581109A (en) | 2019-04-05 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201811481703.5A Pending CN109581109A (en) | 2018-12-05 | 2018-12-05 | A kind of state of elevator multi-information fusion diagnostic method |
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| WO (1) | WO2020114315A1 (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020114315A1 (en) * | 2018-12-05 | 2020-06-11 | 山东科技大学 | Elevator status multi-information fusion diagnosis method |
| CN114803743A (en) * | 2022-05-05 | 2022-07-29 | 桂林电子科技大学 | Group control method and system based on elevator comprehensive performance perception recognition |
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| CN101852798A (en) * | 2009-03-30 | 2010-10-06 | 希森美康株式会社 | Sample testing apparatus and sample testing method |
| CN104044969A (en) * | 2014-06-20 | 2014-09-17 | 广州日滨科技发展有限公司 | Elevator fault early warning method and system |
| CN108238538A (en) * | 2017-12-28 | 2018-07-03 | 北京市地铁运营有限公司地铁运营技术研发中心 | The fault monitoring method and fault monitoring system of a kind of escalator |
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| JPH0539179A (en) * | 1991-07-31 | 1993-02-19 | Toshiba Corp | Elevator control unit |
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| CN102849552A (en) * | 2012-08-31 | 2013-01-02 | 吴江市华茂机械制造有限公司 | Safety warning device for elevator dragger |
| CN103754718B (en) * | 2014-02-12 | 2016-03-09 | 大连奥远电子股份有限公司 | Lift running safety monitoring system and method thereof |
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| CN106219342B (en) * | 2016-08-19 | 2019-02-01 | 广州广日电梯工业有限公司 | Elevator self diagnosis and pre- diagnostic system and method based on time-frequency convert algorithm |
| CN108562806B (en) * | 2018-01-05 | 2021-02-26 | 日立楼宇技术（广州）有限公司 | Method, device, equipment and storage medium for overall detection of performance of elevator traction machine |
| CN109581109A (en) * | 2018-12-05 | 2019-04-05 | 辽宁工程技术大学 | A kind of state of elevator multi-information fusion diagnostic method |
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2018
- 2018-12-05 CN CN201811481703.5A patent/CN109581109A/en active Pending
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2019
- 2019-11-28 WO PCT/CN2019/121687 patent/WO2020114315A1/en active Application Filing
Patent Citations (3)
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| CN101852798A (en) * | 2009-03-30 | 2010-10-06 | 希森美康株式会社 | Sample testing apparatus and sample testing method |
| CN104044969A (en) * | 2014-06-20 | 2014-09-17 | 广州日滨科技发展有限公司 | Elevator fault early warning method and system |
| CN108238538A (en) * | 2017-12-28 | 2018-07-03 | 北京市地铁运营有限公司地铁运营技术研发中心 | The fault monitoring method and fault monitoring system of a kind of escalator |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2020114315A1 (en) * | 2018-12-05 | 2020-06-11 | 山东科技大学 | Elevator status multi-information fusion diagnosis method |
| CN114803743A (en) * | 2022-05-05 | 2022-07-29 | 桂林电子科技大学 | Group control method and system based on elevator comprehensive performance perception recognition |
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| Publication number | Publication date |
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| WO2020114315A1 (en) | 2020-06-11 |
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Effective date of registration: 20200107 Address after: 266590 No. 579, Bay Road, Qingdao economic and Technological Development Zone, Qingdao, Shandong Applicant after: Shandong University of Science and Technology Address before: Fuxin City, Liaoning Province, China Road 123000 Xihe District No. 47 Applicant before: Liaoning University of Engineering and Technology |