WO2020114315A1

WO2020114315A1 - Elevator status multi-information fusion diagnosis method

Info

Publication number: WO2020114315A1
Application number: PCT/CN2019/121687
Authority: WO
Inventors: 张强; 刘思远; 田莹
Original assignee: 山东科技大学
Priority date: 2018-12-05
Filing date: 2019-11-28
Publication date: 2020-06-11
Also published as: CN109581109A

Abstract

An elevator status multi-information fusion diagnosis method, the steps comprising: detecting an elevator by means of an accompanying detection device to obtain current status parameters of the elevator as a detection result; inputting the obtained detection result into a comprehensive diagnostic system, and the comprehensive diagnostic system comparing the current status parameters of the elevator with parameters in a detection module when the elevator is operating normally, and generating a comparison result by means of a determination; inputting the comparison result into a diagnostic result integration system; and the diagnostic result integration system integrating the comparison result, and finally outputting a diagnostic result. The entire detection process does not require human intervention, effectively avoids the impact that subjective factors generated by human intervention have on the results, reduces human workload, improves detection efficiency, is low cost and highly reliable, and solves problems such as low efficiency, high labor intensity, and poor reliability in current elevator inspections that need to use a manner of human comparison.

Description

Elevator state multi-information fusion diagnosis method

Technical field

The invention belongs to the technical field of elevator detection, and particularly relates to an elevator state multi-information fusion diagnosis method.

Background technique

At present, there are many situations and a lot of data in the work of elevator detection. If manual processing is required, a lot of manpower and time are consumed. The processing of multiple information is actually more difficult to operate. There are many problems in practical applications. It is operable, and due to human judgment, many problems will occur due to human errors, which will bring great hidden dangers to the safe operation of the elevator, and the large use of manual labor is relatively inefficient, prolonging the detection Cycle time increases the cost of detection.

Therefore, it is necessary to design a better detection technology to solve the above problems.

Summary of the invention

Based on the above deficiencies of the prior art, the technical problem solved by the present invention is to provide an elevator state multi-information fusion diagnosis method, which reduces the workload of manual operations and improves the detection efficiency.

In order to solve the above technical problems, the present invention is implemented by the following technical solutions:

The invention provides an elevator state multi-information fusion diagnosis method, including the following steps:

Step 1: Test the elevator through the accompanying detection device, and obtain the current state parameters of the elevator as the detection result;

Step 2: Input the detection results from the accompanying detection device into the comprehensive diagnosis system. The comprehensive diagnosis system compares the current state parameters of the elevator with the parameters of the elevator in the normal operation of the detection module, and generates the ratio by judging To the result

Step 3: Enter the comparison result into the diagnosis result integration system;

Step 4: The diagnosis result integration system integrates the comparison results and finally outputs the diagnosis results.

Preferably, the comprehensive diagnosis system includes an A standard composed of parameters stored by the A standard detection module and a B standard composed of parameters stored by the B standard detection module;

When the test result returned by the accompanying testing device does not match the A standard, the data will be automatically compared with the B standard data. If the test result does not match the B standard, the diagnosis result integration system will output "an elevator abnormality". ;

If the test result conforms to the B standard but does not conform to the A standard data, it is fed back to the accompanying testing device for re-inspection through the feedback channel.

Further, the test result after the re-inspection of the accompanying test device meets the A standard, and after the integration of the diagnosis result integration system, it outputs "elevator normal"

If the test result after the re-examination does not meet the A standard, after the diagnosis result integration system is integrated, the output "elevator abnormality" is output.

Optionally, the diagnostic result integration system can identify the data output by the comprehensive diagnosis system and automatically output the diagnosis result after integration.

From the above, the elevator state multi-information fusion diagnosis method of the present invention uses the comprehensive diagnosis system to process the detection results of the elevator accompanying detection device, reducing the manual participation in the detection work, and adopts the elevator state multi-information fusion diagnosis method to directly output the detection results. Effective, due to the large amount of test result data of the accompanying testing device, the manual comparison takes a long time, and the subject’s subjective reasons in the comparison process may affect the final test result of the elevator, and the speed and reliability of the test cannot be guaranteed Utilizing the comprehensive diagnostic system to detect elevators can directly generate test results, effectively solving the drawbacks of this method of manually comparing the parameters in the test report with the qualified conditions, and manually testing the reports The comparison method of item parameters has low efficiency, long period, high labor cost, and poor reliability. There is also the possibility of affecting the test results due to subjective reasons. The elevator state multi-information fusion diagnosis method of the present invention can greatly shorten the cycle and reduce Cost, improve efficiency and reliability, and do not require manual participation in the detection process, will not affect the test results due to human subjective factors.

The above description is only an overview of the technical solutions of the present invention. In order to understand the technical means of the present invention more clearly, it can be implemented according to the content of the specification, and in order to make the above and other objects, features and advantages of the present invention more obvious and understandable In the following, in conjunction with the preferred embodiments and the accompanying drawings, the detailed description is as follows.

BRIEF DESCRIPTION

In order to more clearly explain the technical solutions of the embodiments of the present invention, the drawings of the embodiments will be briefly described below.

1 is a flow chart of the elevator state multi-information fusion diagnosis method of the present invention;

Fig. 2 is a detection program block diagram of the elevator state multi-information fusion diagnosis method of the present invention.

In the figure, the standard A is the standard that the elevator test result is "normal", and the standard B is the standard that the elevator test result is "retest".

detailed description

The specific embodiments of the present invention will be described in detail below with reference to the accompanying drawings. As a part of this specification, the principles of the present invention will be explained by examples, and other aspects, features, and advantages of the present invention will become clear from this detailed description. In the drawings referred to, the same or similar components in different drawings are denoted by the same reference numerals.

The elevator state multi-information fusion diagnosis method of the present invention is mainly applied to the detection work of elevators in cities, reducing the workload of manual operations and improving the detection efficiency. As shown in FIGS. 1 to 2, the elevator state multi-information fusion of the present invention The diagnosis method includes a traveling detection device, a comprehensive diagnosis system, and a diagnosis result integration system. The detection result of the traveling detection device detecting the elevator is input to the comprehensive diagnosis system. The comprehensive diagnosis system reads the detection result fed back by the traveling detection device and the preset elevator The various parameters during normal operation are compared, and the comparison result is input to the diagnosis result integration system, which can identify the data output by the comprehensive diagnosis system, and automatically outputs the diagnosis result after integration, and the diagnosis result integration system Integrate the comparison results and finally output the diagnosis results. The comprehensive diagnosis system of the present invention has been highly modularized. The system contains information on several states such as the elevator's motion status, power supply status, load status, internal status, and external status, and is different The information of the status is divided into different modules. The parameters stored in the module are all related to a certain state of the elevator, and the modules have two sets of standards. When the test result returned by the accompanying detection device meets the A standard, the integrated system outputs "elevator" through the diagnosis result. "Normal"; when the test result returned by the accompanying testing device does not conform to the A standard, the data of these modules will be automatically compared with the data of the B module. If the data still does not conform to the B standard, the output will be output after the integration of the diagnosis result integration system "The elevator is abnormal", and the elevator status corresponding to the module where the data that meets the B standard but does not conform to the A standard will be fed back to the accompanying detection device through the feedback channel. The accompanying detection device rechecks these states of the elevator. After the data is input into the comprehensive diagnosis system again and compared with A, if there is still inconsistency with the A standard, the diagnosis result integration system will output "elevator abnormality" after the integration. If the test result returned by the accompanying detection device after re-inspection meets A Standard, output "Elevator normal".

Among them, the detection module of the comprehensive diagnosis system pre-sets the standard A of the elevator test result as "normal" and the standard B of the test result as "re-inspection". Therefore, during the detection process of the system, the accompanying detection device detects the elevator The result data should be compared with the standard A first. If it does not meet the A standard, then compare with the B standard. After the judgment, the final judgment result is output. The elevator state multi-information fusion diagnosis method of the present invention can quickly output the detection result without the need Manually participate in the testing process to improve the efficiency of testing and the reliability of testing results.

The present invention inputs the standard in the comprehensive diagnosis system in advance, and the feedback result of the elevator is input into the control system. Through the judgment of the standard A, it is judged whether the corresponding elevator state is normal, so whether the result of the elevator state detection is "normal" or continue The next procedure judges that the degree of manual participation in the test is relatively low, reducing labor costs and human labor intensity, saving time, and solving the problems of this method of artificially comparing the test results with the data, which can be avoided due to staff Problems caused by human factors such as negligence.

As shown in FIG. 1, the elevator state multi-information fusion diagnosis method of the present invention first detects the elevator through the accompanying detection device, obtains the current state parameters of the elevator as the detection result, and inputs the detection result obtained by the accompanying detection device to the comprehensive In the diagnosis system, the test results are compared with the A standard to judge the test results, and then the test results that do not meet the A standard are compared with the B standard to determine whether they meet the re-inspection standards. For elevators that meet the re-inspection standards Re-inspection, the module that does not meet the re-inspection standard, after the integration of the diagnosis result integration system, outputs the diagnosis result of "elevator abnormality"; re-inspection is performed on the elevators that meet the reinspection standard to regenerate the test results, and the comprehensive diagnosis system The test result is compared with the A standard. If the re-examination result meets the A standard, the integrated result of the diagnosis result integration system will output "Elevator normal"; if it does not meet the A standard, the integrated result of the diagnosis result integration system will output "the elevator appears "Abnormal" diagnosis result. This method solves the problem of a large number of elevators, complex elevator status, and huge detection work, which greatly improves the efficiency of elevator detection, and this method does not require manual participation in the detection process, reducing the operator At the same time, it effectively avoids the safety problems caused by unfavorable human supervision and negligence of the inspection personnel, and creates a new idea for elevator detection.

The invention detects the elevator through the accompanying detection device on the elevator, obtains the current state parameters of the elevator as the detection result, and inputs it into the comprehensive diagnosis system. The comprehensive diagnosis system combines the current state parameters of the elevator with the detection module Various parameters of the elevator in normal operation in the preset program are compared, and the generated result is judged by the program. The comprehensive diagnosis system has the function of judging whether the elevator is in a normal state, whether it should be re-examined and the elevator is abnormal by the detection result. The comprehensive diagnosis can read the detection result transmitted by the accompanying detection device and can feed back to the accompanying detection device. Re-inspection is required, and the comprehensive diagnosis system can output normal and abnormal signals. Through the integration of the diagnosis results, the system can output the detection results to the outside world. The entire detection process does not require human intervention, effectively avoiding the influence of subjective factors caused by human intervention on the results. , And reduces the workload of people, the program control operation speed is much faster than the speed of human comparison, greatly improving the detection efficiency, fast speed, low cost, low labor intensity, high reliability, which solves the need for elevator detection There are many problems such as low efficiency, high labor intensity, and poor reliability.

The above is the preferred embodiment of the present invention. Of course, it cannot be used to limit the scope of the present invention. It should be pointed out that for those of ordinary skill in the art, without departing from the principles of the present invention, Several improvements and changes are made, and these improvements and changes are also regarded as the scope of protection of the present invention.

Claims

An elevator state multi-information fusion diagnosis method, characterized in that it includes the following steps:

Step 1: Test the elevator through the accompanying detection device, and obtain the current state parameters of the elevator as the detection result;

Step 2: Input the detection results from the accompanying detection device into the comprehensive diagnosis system. The comprehensive diagnosis system compares the current state parameters of the elevator with the parameters of the elevator in the normal operation of the detection module, and generates the ratio by judging To the result

Step 3: Enter the comparison result into the diagnosis result integration system;

Step 4: The diagnosis result integration system integrates the comparison results and finally outputs the diagnosis results.
The elevator state multi-information fusion diagnosis method according to claim 1, wherein the comprehensive diagnosis system includes an A standard composed of parameters stored by the A standard detection module and a parameter composed of parameters stored by the B standard detection module B standard;

When the test result returned by the accompanying testing device does not match the A standard, the data will be automatically compared with the B standard data. If the test result does not match the B standard, the diagnosis result integration system will output "an elevator abnormality". ;

If the test result conforms to the B standard but does not conform to the A standard data, it is fed back to the accompanying testing device for re-inspection through the feedback channel.
The elevator state multi-information fusion diagnosis method according to claim 2, characterized in that the test result after the re-inspection of the accompanying detection device complies with the A standard, and after the diagnosis result integration system is integrated, the output "elevator is normal";

If the test result after the re-examination does not meet the A standard, after the diagnosis result integration system is integrated, the output "elevator abnormality" is output.
The elevator state multi-information fusion diagnosis method according to claim 1, wherein the diagnosis result integration system can identify the data output by the integrated diagnosis system, and automatically outputs the diagnosis result after integration.