CN110275481B

CN110275481B - Stage self-adaptive maintenance correction method and system

Info

Publication number: CN110275481B
Application number: CN201910594706.8A
Authority: CN
Inventors: 周姣; 车行; 侯森
Original assignee: Beijing Bette Shengdi Technology Development Co ltd
Current assignee: Beijing Bette Shengdi Technology Development Co ltd
Priority date: 2019-07-03
Filing date: 2019-07-03
Publication date: 2020-10-30
Anticipated expiration: 2039-07-03
Also published as: CN110275481A

Abstract

The invention provides a stage self-adaptive maintenance correction method and a stage self-adaptive maintenance correction system, wherein the correction system comprises a monitoring computer and storage equipment arranged on the monitoring computer; the correction method comprises the following steps: detecting frequently-occurring fault problems of the stage, and summarizing and sorting the frequently-occurring fault problems to generate a fault problem sample library; aiming at the fault problems which often occur on the stage, the solution corresponding to each fault problem is summarized and sorted to generate a problem solution sample library; when a problem occurs in the operation process of the stage, inquiring a fault problem corresponding to the problem in the fault sample library, and inquiring a solution corresponding to the fault problem in the problem solution sample library according to the inquired fault problem; the problems occurring in the stage operation process are solved according to the corresponding solving method. The advantages are that: the problems of solving the fault problem, such as time and the like are solved, the intellectualization and the automation of the stage are greatly promoted, and the economic cost and the time cost are saved.

Description

Stage self-adaptive maintenance correction method and system

Technical Field

The invention relates to the technical field of stage maintenance and correction, in particular to a stage self-adaptive maintenance and correction method and system.

Background

In the current stage remote diagnosis system, relevant operators do not need to go to the field by acquiring the monitoring data of the PLC field, so that great cost saving and assistance are greatly made for relevant processing such as debugging and the like. In the existing stage remote detection and diagnosis system, a computer capable of being monitored is placed on site and is linked with a controlled PLC, running data of the PLC is collected and transmitted to a remote monitoring client center through a network, so that an operator does not need to go to site monitoring, can make manual judgment through the monitored data, and then make corresponding operation through the manual judgment.

When the monitoring computer of the client monitoring and the monitoring computer arranged on the site are interfered by the network in the prior art, the diagnosis operation is greatly hindered, and for the frequently-occurring fault problem, technical debugging personnel need to perform corresponding judgment and processing through monitoring, so that a large amount of tedious and repetitive actions are added for related debugging personnel. Whether the traditional relevant technicians debug and diagnose the PLC on site or the remote diagnosis system of the existing technical scheme needs the relevant technicians to manually carry out fault retrieval and scheme solution, the latter can save the economic cost and improve the traditional barriers of the former, but has huge cost on time consumption, and greatly limits the network monitoring and diagnosis under the interference of the network primary conditions. It should be further noted that the conventional or remote monitoring failure problem is generally a common failure problem, and is always tedious and continuous for the simple problem that appears repeatedly and is easy to solve.

Disclosure of Invention

The present invention aims to provide a stage adaptive maintenance and correction system, so as to solve the aforementioned problems in the prior art.

In order to achieve the purpose, the technical scheme adopted by the invention is as follows:

the stage self-adaptive maintenance and correction method comprises the following steps

S1, detecting frequently-occurring fault problems of the stage, and carrying out induction and arrangement on the frequently-occurring fault problems to generate a fault problem sample library;

s2, aiming at the fault problems frequently occurring on the stage, carrying out induction and arrangement on the solution corresponding to each fault problem to generate a problem solution sample library;

s3, when a problem occurs in the operation process of the stage, inquiring a fault problem corresponding to the problem in the fault sample library, and inquiring a solution corresponding to the fault problem in the solution problem sample library according to the inquired fault problem;

and S4, solving the problems in the stage operation process according to the corresponding solving method.

Preferably, the fault problem is summarized and collated as follows,

a1, expressing the state and phenomenon of the frequently occurring fault problem;

b1, naming and classifying the expressed states and phenomena according to the related rules;

c1, numbering the named and classified fault problems so that each fault problem has different numbers;

d1, operating the stage, detecting fault problems occurring in the stage operation process, judging whether the operation state and the phenomenon expressed by each fault problem are the same as the frequently occurring fault problems after numbering when each fault problem occurs in the stage operation process, if so, numbering the fault problems according to the frequently occurring fault problems which are the same as the fault problems, and executing E1; if not, returning to the step A1, and representing the states and phenomena of the frequently-occurring fault problems again;

e1, summarizing the fault problems numbered in the step D1 to form a fault problem sample library.

Preferably, the summary arrangement of the solutions corresponding to the respective failure problems is as follows,

a2, describing and characterizing the method of the solution corresponding to each frequently occurring fault problem;

b2, carrying out proper naming and classification on each solution according to the description and characterization in the step A2;

c2, numbering the named and classified solutions so that each solution has a different number;

d2, operating the stage, detecting fault problems occurring in the stage operation process, judging whether each solution can solve the corresponding fault problems, if so, numbering the solutions according to the solution corresponding to the same frequently-occurring fault problems, and executing E2; if not, returning to the step A2, and re-describing and characterizing the solution corresponding to the frequently-occurring fault problem;

e2, summarizing the solutions numbered in the step D2 to form a solution problem sample library.

Preferably, the number of the solution corresponds to the number of the failure problem one by one.

Preferably, the specific process of step S3 is that, when a fault problem occurring in the stage during operation is detected, first, a number of the fault problem in the fault problem sample library is found through a corresponding retrieval algorithm, and a number of a solution corresponding to the obtained fault problem number is queried in the solution sample library, and a corresponding solution is found through a mapping algorithm.

The invention also aims to provide a stage self-adaptive maintenance correction system, which is used for realizing any one of the correction methods, and comprises a monitoring computer, wherein the monitoring computer is used for monitoring the fault problem occurring in the stage operation process and inquiring the corresponding solution according to the detected fault problem.

Preferably, a storage device is arranged at the port of the monitoring computer, and the storage device is used for storing the fault problem sample library and the solution method sample library.

The invention has the beneficial effects that: 1. the invention can greatly shorten the solving time of the fault problem and the like by using a proper searching algorithm and a proper matching algorithm, and greatly promotes the intellectualization and the automation of the stage. 2. The invention sets the sample library of the fault problem and the sample library of the solution method in the storage device, and installs the storage device at the port of the monitoring computer, so that the invention greatly saves the economic cost and the time cost of people under the network condition without remote network diagnosis.

Drawings

FIG. 1 is a schematic flow chart of a correction method in an embodiment of the present invention;

fig. 2 is a schematic structural diagram of a correction system in an embodiment of the present invention.

Detailed Description

In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.

Example one

As shown in fig. 1, the present embodiment provides a stage adaptive maintenance correction method, which includes the following steps

In the embodiment, the fault problem is summarized and collated specifically as follows,

In this embodiment, the generation of the failure problem sample library is specifically as follows: the method comprises the following steps that a PLC (programmable logic controller) technician summarizes and arranges frequently-occurring fault problems detected by a monitoring computer on a debugging site, repeatedly-occurring common fault problems are subjected to state description and phenomenon expression, related rules are named and classified for the summarized and arranged phenomena and states, code numbering is carried out on the named and classified fault problems, field verification is carried out, namely the fault problems occurring in field debugging are judged, the expression form of each frequently-occurring fault problem is judged to be consistent with the state and phenomenon of frequently-occurring fault problem representation, if the expression form is consistent with the state and phenomenon, the occurring fault problems are numbered according to the same number as the frequently-occurring fault problems, the fault problems occurring in the stage operation process are ensured to be consistent with the corresponding frequently-occurring fault problems, and corresponding labels are obtained; after the verification is passed, the induction summarized code number is indicated to be accurate, and then a special fault problem sample library is generated through a large amount of test verification and data accumulation.

In this embodiment, naming and classification of the relevant rules are performed, where the relevant rules are named in a manner. And frequently occurring fault problems include: 1. circuit fault expression, wherein the states and phenomena expressed by the circuit fault include device immobility, device alarm, sudden power off, communication interruption, device emergency stop … … and the like (the fault phenomenon item is updated and added along with the increase of the fault states and phenomena later); the method comprises the following steps of naming and classifying by adopting a correlation rule, specifically, if the problems are met, the problems are classified into line faults, namely LF, and the phenomena are named as LF 1-equipment immobility and LF 2-equipment alarm; LF 3-sudden power off, LF 4-equipment crash stop … …, etc. (with the addition of updates to the cause items of the fault later on). 2. The communication fault is expressed, and the states and phenomena expressed by the communication fault are as follows: no signal input, error in transmitted data, error in recorded data, data loss, failure of the equipment to work normally … …, etc. (the failure phenomenon item is updated and added as the failure state and phenomenon increase later); the related rules are adopted for naming and classifying, specifically, if the problems are met, the problems are classified as communication faults and named as CF, and the phenomena are named as CF 1-no signal input, CF 2-transmission data error, CF 3-recorded data error, CF 4-data loss, CF 5-equipment incapable of working normally … … and the like (with the increase of fault phenomena later, the reason items of the fault phenomena are updated and added). 3. The equipment fault is expressed, and the states and phenomena expressed by the equipment fault are as follows: equipment abnormal sound, equipment noise, equipment overheating, low equipment operation precision, equipment shaking … … and the like (the fault phenomenon item is updated and added along with the increase of fault states and phenomena later); and (3) naming and classifying by adopting a correlation rule, specifically, if the problems are met, the problems are classified as equipment faults, namely EF, and the phenomena are named as EF 1-equipment abnormal sound, EF 2-equipment noise, EF 3-equipment overheating, EF 4-equipment low operation precision, EF 5-equipment shaking … … and the like (with the increase of the fault phenomenon later, the reason items of the fault phenomenon are updated and added). 4. The artificial fault is represented, and the states and phenomena represented by the artificial faults are as follows: reverse operation of the equipment, no backup function, full-speed motion alarm, rope disorder of the equipment, shaking … … of a base connected with the equipment and the like (the fault phenomenon item is updated and added along with the increase of fault states and phenomena later); the related rules are adopted for naming and classifying, and specifically, if the problems are met, the problems are classified as artificial faults, named as HF, and the phenomena are named as HF 1-equipment reverse operation, HF 2-no backup function, HF 3-full-speed motion alarm, HF 4-equipment rope disorder, HF 5-equipment connection base shaking … … and the like (with the increase of fault phenomena later, the reason items of the fault phenomena are updated and added). 5. Other faults are represented, and states and phenomena represented by other faults are as follows: equipment delay stops, oil leaks, function cannot be started … …, etc. (the fault phenomenon item is updated and added as the fault state and phenomenon increase later); and (3) naming and classifying by adopting a relevant rule, specifically, if the problems are met, the problems are classified into other faults, named as OF, and the phenomena are named as OF1, namely equipment delay stop, OF2 oil leakage, OF3 function cannot be started and the like (with the increase OF the fault phenomenon later, the reason items OF the fault phenomenon are updated and added).

In this embodiment, the naming and classification of the above rules related to the frequently occurring fault problem states and phenomena is summarized as follows:

the line fault problem is named as LF 1; LF 2; LF 3; LF 4; LF5 … … LFN (N is a positive integer);

the communication fault problem is named as CF 1; CF 2; CF 3; CF 4; CF5 … … CFN (N is a positive integer);

the equipment failure problem is named as EF 1; EF 2; EF 3; EF 4; EF5 … … EFN (N is a positive integer);

the human failure problem is named as HF 1; HF 2; HF 3; HF 4; HF5 … … HFN (N is a positive integer);

other failure problems are named OF 1; OF 2; OF 3; OF 4; OF5 … … OFN (N is a positive integer).

In this embodiment, more and more faults will be added to the fault number, and because the fault problem occurs, we will set a free category MF in the sample library, which represents the situation where there is a new fault and does not belong to the fault category. Correspondingly, the failure problem is increased, and the generation reason and the solution thereof are correspondingly generated. Therefore, we will generate a failure problem sample library FS (fault system), such as the following sample library FS.

In the embodiment, the specific steps for summarizing and organizing the solutions corresponding to the fault problems are as follows,

In this embodiment, a corresponding solution will exist for a common fault problem, and the generation of the solution sample library is specifically as follows: PLC technicians generalize and arrange solutions of common fault problems, describe and characterize the solutions, name and classify the solutions appropriately, code numbers are carried out on the classified and named solutions, field test verification is carried out for multiple times, namely the corresponding solutions can correctly solve the fault problems, and after a large number of tests are carried out, verified data are accumulated to generate a specific solution sample database.

In this embodiment, appropriate naming and classification, that is, a naming method, are performed. The corresponding solution method for the frequently occurring fault problem comprises the following steps: 1. the line fault problem solving method, the line fault is generally checked, the obtained reason is the following method for solving the fault according to the reason: SLF 1-line bad contact, replace new line or eliminate interference to this section of line; SLF 2-line is connected reversely, and the line is connected after the line is changed; SLF 3-line aging, new line and accessory replacement for the line; SLF 4-line slack, pull-in operation … … on line, etc. (as the fault increases later, update additions are made to the cause and solution project for the fault). 2. The communication fault problem solving method, the communication fault is generally checked to obtain the reason and the method for solving the fault according to the reason is as follows: SCF 1-network not accessed, then network can be accessed; SCF 2-network signal is poor, equipped with signal booster, or network signal is boosted; SCF 3-the communication cable is disturbed, finding interferers, such as disturbances of other machines or site disturbances; SCF 4-loss of signal, which may be caused by a sudden network interruption during transmission, etc., in general; SCF 5-network data blockage, network data volume blowout type transmission, morning blockage or memory overflow … … and the like (along with the increase of fault phenomena in the future, the reasons of the fault phenomena and solution projects are updated and added). 3. The method for solving the problem of equipment failure generally comprises the following steps of checking equipment failure to obtain a reason, and solving the failure according to the reason: SEF 1-equipment rusts, and rusts affecting the equipment are removed; SEF 2-accessory aging, replacement and stocking of the accessory; SEF 3-screw loosening, screw reinforcement and checking for other related screw loosening problems; SEF 4-part damage, replacement of damaged part; SEF 5-design deficiency, design of this type of problem with emphasis on … … and so on (as the number of failure phenomena increases later, the cause of the failure phenomena and the solution project are updated and added). 4. The artificial fault solving method, the artificial fault is generally checked to obtain the reason and the method for solving the fault according to the reason is as follows: SHF 1-wrongly writing the driving parameters, and modifying the driving parameters; SHF 2-design considering auxiliary functions such as backup in design; SHF3 — security threshold setting error, resetting threshold range; SHF 4-installation errors cause theoretical data to be inconsistent with actual data, or operational errors; SHF 5-implement defects during installation, re-check and correct … …, etc. (as the number of failures increases later, update additions are made to the causes and solution projects for the failures). 5. Other failure solving methods, other failures are generally checked, and the obtained reason is that the failure solving method according to the reason is as follows: SOF1 — interference between controller and device occurs; SOF 2-oil seal at the oil leakage part needs to be replaced; SOF 3-accumulation of problems causes functional failures, etc. (as the number of failures increases later, the causes and solution items for the failures are updated and added).

In this embodiment, the naming and classification of the relevant rules of the above frequently occurring failure problem solution method is summarized as follows:

the line fault problem solving method is named as SLF 1; SLF 2; SLF 3; SLF 4; SLF5 … … SLFN (N is a positive integer);

the communication fault problem solving method is named as SCF 1; SCF 2; SCF 3; SCF 4; SCF5 … … SCFN (N is a positive integer);

the equipment failure problem solving method is named as SEF 1; SEF 2; SEF 3; SEF 4; SEF5 … … SEFN (N is a positive integer);

the human fault problem solving method is named as SHF 1; SHF 2; SHF 3; SHF 4; SHF5 … … SHFN (N is a positive integer);

other fault problem solving methods are named SOF 1; SOF 2; SOF 3; SOF 4; SOF5 … … SOFN (N is a positive integer).

In this embodiment, a solution sample library SFS (slot fault system) is generated, for example, the following sample library SFS is generated.

In this embodiment, the number of the solution corresponds to the number of the failure problem one by one.

In this embodiment, the specific process of step S3 is that, when a fault problem occurring in the stage during operation is detected, first, a number of the fault problem in the fault problem sample library is found through a corresponding retrieval algorithm, a number of a solution corresponding to the obtained fault problem number is queried in the solution sample library, and a corresponding solution is found through a mapping algorithm.

In this embodiment, how to find the solution sample library corresponding to the fault sample library by using the maintenance and correction system itself needs to set a set of mapping algorithm for the maintenance and correction system, so as to make the maintenance and correction system self-adaptively find the index of the solution sample library. From the above nomenclature, there are two letters that overlap, i.e., the overlapping letter is LF. Then, according to the principle of similarity of keywords, i.e. the principle of similarity of cosines (there are many mature algorithms as to the principle of similarity, and here, only one is simply exemplified), the above two searches are named as emerging word frequency vectors by using the Term Frequency (TF), and then by using the following formula:

where x and y respectively denote two search names, namely, the fault number LF and the corresponding solution SLF.

The similarity of two search names can be obtained through the formula, and the higher the similarity is, the more matched the similarity is. In other words, the pair with high matching degree is the solution pair corresponding to the fault, and is the self-adaptive mapping algorithm, and through the steps, the maintenance and correction system can acquire the mapped solution retrieval number through the fault number, so that the labor cost and the time cost are greatly saved.

Example two

As shown in fig. 2, the present embodiment provides a stage adaptive maintenance correction system, where the correction system is configured to implement the correction method, and the correction system includes a monitoring computer, where the monitoring computer is configured to monitor a fault problem occurring in a stage operation process, and query a corresponding solution according to the detected fault problem.

In this embodiment, a storage device is disposed at a port of the monitoring computer, and the storage device is configured to store the failure problem sample library and the solution method sample library.

In this embodiment, the failure problem sample library and the failure problem solution sample library occupy a memory of a computer when the data amount is increased, and therefore the sample library can be placed in the storage device.

By adopting the technical scheme disclosed by the invention, the following beneficial effects are obtained:

the invention provides a stage self-adaptive maintenance correction method, which greatly shortens the problem of solving time of fault problem and the like by applying proper search algorithm and matching algorithm, and greatly promotes the intellectualization and automation of the stage; meanwhile, the invention arranges the failure problem sample library and the solution sample library in the storage device, and installs the storage device at the port of the monitoring computer, so that the invention greatly saves the economic cost and the time cost of people under the network condition without remote network diagnosis.

The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and improvements can be made without departing from the principle of the present invention, and such modifications and improvements should also be considered within the scope of the present invention.

Claims

1. A stage self-adaptive maintenance correction method is characterized by comprising the following steps: comprises the following steps

s4, solving the problems in the stage operation process according to the corresponding solving method;

the fault problem is summarized and collated specifically as follows,

e1, summarizing all the fault problems numbered in the step D1 to form a fault problem sample library;

the specific steps for summarizing and organizing the solutions corresponding to the fault problems are as follows,

e2, summarizing the solutions numbered in the step D2 to form a problem solution sample library;

the serial numbers of the solving method correspond to the serial numbers of the fault problems one by one;

by a set of mapping algorithm, the purpose that the number of the solution method corresponding to the fault problem number is inquired according to the fault problem number, and then the solution method corresponding to the fault problem is inquired is achieved; the mapping algorithm is that according to the keyword similarity principle, the term frequency is firstly utilized to convert the fault problem number and the solution number into the appeared word frequency vector, then the similarity of the two numbers is obtained by utilizing the following formula, the higher the similarity is, the more the similarity is, the matching is, the pair with the highest similarity is selected, namely, the solution corresponding to the fault problem is obtained

Wherein, x and y respectively represent two numbers, namely a fault problem number and a solution method number.

2. Stage adaptive maintenance correction method according to claim 1, characterized in that: the specific process of step S3 is that, when a fault problem occurring in the stage during operation is detected, the serial number of the fault problem in the fault problem sample library is first found through a corresponding search algorithm, the serial number of the solution corresponding to the obtained fault problem serial number is queried in the solution problem sample library, and a corresponding solution is found through a mapping algorithm.

3. The utility model provides a stage self-adaptation is maintained and is revised system which characterized in that: the correction system is used for realizing the correction method of any one of the above claims 1 or 2, and comprises a monitoring computer, wherein the monitoring computer is used for monitoring fault problems occurring in the stage operation process and inquiring a corresponding solution method according to the detected fault problems.

4. A stage adaptive maintenance modification system according to claim 3, wherein: and a storage device is arranged at the port of the monitoring computer and is used for storing the fault problem sample library and the solution method sample library.