CN105967063A - Failure analyzing and handling system and method of maintenance platform - Google Patents
Failure analyzing and handling system and method of maintenance platform Download PDFInfo
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- CN105967063A CN105967063A CN201610323520.5A CN201610323520A CN105967063A CN 105967063 A CN105967063 A CN 105967063A CN 201610323520 A CN201610323520 A CN 201610323520A CN 105967063 A CN105967063 A CN 105967063A
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- fault
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66C—CRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
- B66C13/00—Other constructional features or details
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66C—CRANES; LOAD-ENGAGING ELEMENTS OR DEVICES FOR CRANES, CAPSTANS, WINCHES, OR TACKLES
- B66C15/00—Safety gear
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- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a failure analyzing and handling system and method of a maintenance platform. The system comprises a failure distribution module, a failure analyzing module, a failure handling module and a field data interface. The field data interface receives a failure signal, recognizes the type of the failure signal according to the signal features of the failure signal and writes the type into the failure signal. The failure distribution module is connected with the field data interface, receives the failure signal with the type written, adds distribution fields to the failure signal, and then sends the processed failure signal to the failure analyzing module or the failure handling module according to the distribution fields and the failure type. The failure analyzing and handling system and method of the maintenance platform can conduct diagnosis and maintenance effectively and accurately in time within a short period of time, equipment failures are handled for users, and the shutdown duration of a crane is shortened.
Description
Technical field
The present invention relates to crane gear repair and maintenance platform fault solve system and method, more specifically,
Relate to a kind of repair and maintenance platform fault analysis process system and method.
Background technology
At present, domestic and international science and technology new technique (such as artificial intelligence, cybernetics and theory of information etc.) and existing
For the fast development of network technology, the fault diagnosis of remote equipment, maintenance technology and function obtain constantly
Ground enriches and perfect.Its application develops into aviation, sea from single Mechanical device diagnosis
The ocean complication system such as boats and ships and hydraulic and electric engineering.The most remotely diagnosis maintenance platform is of a great variety,
Various Functions, but currently available technology does not also have the fault diagnosis for harbour lifting equipment with long-range
Maintenance platform.
Constantly expand along with whole world crane facility spreads all over scope, and the complexity of each region port environment
Property and multiformity, will realize carrying out each wharf crane parts remote supervisory and have the biggest technology and choose
War, but also there is the strongest realistic meaning.For manufacturer, will be big by remote supervisory
Big reduce service engineer to time at scene and expense, becoming of manpower and material resources can not only be saved in a large number
This, the most also can provide long-distance Maintenance Service in the shortest time to on-the-spot wharf crane fault, reduce
Harbour user loses.
Summary of the invention
For the above-mentioned problems in the prior art, it is an object of the invention to provide a kind of repair and maintenance platform
Fault analysis processing system and method.
For achieving the above object, the present invention adopts the following technical scheme that
A kind of repair and maintenance platform fault analysis process system, including fault distribution module, failure analysis module,
Fault processing module, field data interface.Field data interface fault-signal, and according to fault
The signal characteristic of signal distinguishes the type of fault-signal, and by type Write fault signal.Fault is divided
Join module and connect field data interface, receive the fault-signal after writing type and fault-signal is added
Adding allocation field, further according to allocation field and fault type, the fault-signal after processing sends to event
Barrier analyzes module or fault processing module.
According to one embodiment of the invention, fault-signal includes data field, reserved field and check word
Section, data field is the content of fault-signal, and reserved field is writeable clear data section.
According to one embodiment of the invention, in the reserved field of the type Write fault signal of fault-signal.
According to one embodiment of the invention, allocation field was added before data field, allocation field bag
Include the identification code that instruction current failure signal should transmit to failure analysis module or fault processing module.
For achieving the above object, the present invention adopts the following technical scheme that
A kind of repair and maintenance platform fault analysis and processing method, including: receive fault-signal, and according to fault
The signal characteristic of signal distinguishes the type of fault-signal, and by type Write fault signal.Reception is write
Enter the fault-signal after type and fault-signal is added allocation field, further according to allocation field and event
Barrier type, the fault-signal after processing sends to failure analysis module or fault processing module.
According to one embodiment of the invention, fault-signal includes data field, reserved field and check word
Section, data field is the content of fault-signal, and reserved field is writeable clear data section.
According to one embodiment of the invention, by the reserved field of the type Write fault signal of fault-signal
In.
According to one embodiment of the invention, allocation field was added before data field, allocation field
The mark should transmitted to failure analysis module or fault processing module including instruction current failure signal
Code.
In technique scheme, the repair and maintenance platform fault analysis process system of the present invention and method can
Diagnose at short notice, effectively, accurately, timely and safeguard, solving subscriber equipment event
Barrier, shorten crane downtime.
Accompanying drawing explanation
Fig. 1 is the structural representation of repair and maintenance platform fault analysis process system of the present invention;
Fig. 2 is the structural representation of fault-signal;
Fig. 3 is the flow chart of repair and maintenance platform fault analysis and processing method of the present invention.
Detailed description of the invention
Technical scheme is further illustrated below in conjunction with the accompanying drawings with embodiment.
With reference to Fig. 1, the first open a kind of repair and maintenance platform fault analysis process system of the present invention, it is main
Framework includes that fault distribution module 2, failure analysis module 3, fault processing module 4, field data connect
Mouth 1 etc..The system of the present invention using fault-signal (real time fail data and historical data) as system
The input of system, by failure analysis result (the such as information such as rate of breakdown and the fault generation degree of association)
And for the suggested solution of dependent failure as the output of system, and present in webpage and fixed
Phase submits to user.Simultaneously at server end by setting up a database relation mould reasonable, efficient
Type, makes the management information system of the data after collection and company combine, so that the utilization of Various types of data reaches
To optimum state, reach the Deep integrating of industrial equipment and information system, and thus bring more preferably
Consumer's Experience.
As depicted in figs. 1 and 2, field data interface 1 receives fault-signal, and according to fault-signal
Signal characteristic distinguish the type of fault-signal, and by type Write fault signal.Fault-signal bag
Including data field 102, reserved field 103 and check field 104, data field 102 is believed for fault
Number content, reserved field 103 is writeable clear data section.The type write event of fault-signal
In the reserved field 103 of barrier signal.
With continued reference to Fig. 1, fault distribution module 2 connects field data interface 1, receive write type it
After fault-signal and to fault-signal add allocation field 101, further according to allocation field 101 and therefore
Barrier type, the fault-signal after processing sends to failure analysis module 3 or fault processing module 4.
Preferably, allocation field 101 was added before data field 102, and allocation field 101 includes instruction
Current failure signal should transmit to failure analysis module 3 or the identification code of fault processing module 4.
The position that allocation field 101 is added, before data field 102, is namely believed in whole fault
Number beginning data segment, such benefit is when system is at read failure signal and when process, can
With several bytes at first by only read data packet, current fault-signal just can be known at first
Should transmit to failure analysis module 3 or fault processing module 4, thus shorten what data processed
Time.
The above-mentioned reprocessing for fault-signal can be referred to as again information fusion.The letter of multiple data sources
Breath is blended in the data base being pre-designed, and sets up include fault, bypasses, controls including conjunction etc.
Crane fault model, controls dividing of conjunction including accident analysis, bypass analysis, crane working condition
The models such as analysis.
Based on fault, bypass, control conjunction etc. and analyze model, normalized fault after utilizing data cleansing
And status information, carry out statistical analysis by means of big data analysis tool simultaneously, can be with analytic statistics
Correlation degree between fault and the frequency of fault generation, the probability of fault generation in future.According to
Big data results and FTA, can the fault of generation real-time to harbour, just make
True decision-making, it is recommended that reasonably solution.Utilize the correlation degree between the fault analyzed, and
It not by equipment fault isolation, it appeared that the potential problems that fault occurs, finds out the root of problem,
And solve rapidly the chain problem of fault, reduce rate of breakdown further.Added up by big data tool
The fault occurrence frequency analyzed will quickly position high frequency fault and is efficiently treated through it.It is simultaneous for
Fault can be predicted by the probability of equipment fault generation in future, and its accuracy rate is largely
Relying on capacity and the accuracy of initial data, failure predication model based on machine learning is carried out point
Analysis processes, and utilizes analysis result to form preventive maintenance decision-making, and then is committed to preventive maintenance row
Dynamic, find the device element need to safeguarded or change in time, it is provided that maintenance decision support and spare parts purchasing meter
Draw the service of grade.
The above-mentioned fault correlation that focuses on analyzes and processes, according to user scene feedback information and history
Breakdown Maintenance information upload onto the server according to unified standard, server end is according to big data analysis
The model that instrument is set up in advance carries out continuous machine learning, and constantly iteration, forms optimum fault solution
Certainly scheme, the judgement of the fastest time causes the most possible association reason of field device failure.Use simultaneously
Family can be according to the fault correlation of the solution offer that big data analysis draws to carry out failure cause
Location, can investigate failure cause in conjunction with on-the-spot complicated actual environment simultaneously flexibly.User can be by
The fault solution updated uploads onto the server end, for the optimization of fault solution model library,
Be conducive to improving the accuracy of fault solution.
Use Construction of Fault Tree phenomenon of the failure-failure cause relational model and combine big data analysis
Expert's fault diagnosis realizes fault correlation and processes.Fault correlation diagnosis point is carried out as a example by motor
Analysis illustrates.Fault diagnosis tree describes the inherence between phenomenon of the failure and failure cause with tree structure figure
Contact;Following table is the basic data of fault tree.
According to the phenomenon of the failure that motor is different, set up corresponding failure tree-model, carry out qualitative point of fault tree
Analysis (fault tree simplifies or modularity), it is judged that electrical fault comes from mechanical breakdown or electrically event
Barrier, after determining fault type, (calculation of relationship degree and probability divide then to carry out quantitative analysis
Analysis etc.), it is judged that determine most possible failure cause, it is possible to be preliminary failure cause with this conclusion
Qualitative.
Under the failure cause premise that above-mentioned fault tree models is derived, utilize big data analysis and based on
The model construction of the complicated algorithms such as neutral net, for fault existing in diagnosis rule storehouse, Ke Yigeng
Add and accurately judge its failure cause.And for the new fault not having in diagnosis rule storehouse, fault tree due to
Lack corresponding diagnostic knowledge, and it is qualitative to cannot be carried out preliminary fault, can be by means of neutral net
On the model of complicated algorithm, new fault sample is learnt automatically, train, update fault knowledge, shape
The Failure Diagnostic Code storehouse of Cheng Xin, it is simple to exact failure diagnoses.
Neural network algorithm has the strongest robustness, has the strongest self-learning capability, by training
Unceasing study, is continuously replenished and improves the knowledge of self.Neutral net through suitably training has solution
Certainly simple mathematical model and the difficult tractable control Process Problems of description rule.Support to adapt to simultaneously
Line runs, and can the most qualitatively and quantitatively operate, the strong adaptability of neutral net and information fusion energy
Power allows to be simultaneously entered the most different fault messages, and carries out parallel processing, it is achieved fault is believed
Cease integrated and fusion treatment.The neutral net trained can store the knowledge about fault treating procedure,
Can be directly from historical failure information learning.Its failure diagnostic process is as follows: 1) calls in fault diagnosis and knows
Know storehouse, including weights and threshold values.2) the every phenomenon of the failure being known to occur is inputted.3) base is utilized
Big data analysis tool in neural network failure model carries out mass data analysis thus carries out fault and examine
Disconnected.The output layer neuron that output result probability is forward the most at last is found out, and obtains it most possible
Failure cause, obtain out of order final solution.
On the other hand, as it is shown on figure 3, for above-mentioned processing system, invention additionally discloses a kind of repair and maintenance
Platform fault analysis and processing method, comprises the following steps:
S1: receive fault-signal, and the type of the signal characteristic differentiation fault-signal according to fault-signal,
And by type Write fault signal.
S2: by the reserved field of the type Write fault signal of fault-signal.Fault-signal includes number
According to field, reserved field and check field, data field is the content of fault-signal, and reserved field is
Writeable clear data section.
S3: receive the fault-signal after write type and to fault-signal interpolation allocation field, will divide
Join field to add before data field.Allocation field includes indicating current failure signal should transmit to event
Barrier analyzes module or the identification code of fault processing module.
S4: further according to allocation field and fault type, the fault-signal transmission after processing divides to fault
Analysis module or fault processing module.
Unlike the most traditional fault handling method.The present invention is by fault unified, that concentrate
Information management, is presented on distributed, scattered fault message in Central Control Room, and its fault message includes
In stockyard, all of bridge crane, tyre crane, the mechanical breakdown of AGV, electric fault, automatization's task are held
Row procedure fault, and present in Central Control Room gui interface in a unified format, its format content is main
Lasting including source of failure fault rank, fault type, failure-description, time of failure, fault
The information such as time.Operator must check in time and select affect the fault of situ machine work and submit to
To project manager, if submitting to fault message will affect its work efficiency, and then impact operation the most in time
Member's job rating, actively monitors fault, and positive feedback by urging operator further.Project manager
The fault submitted to by centralized distribution operator, and distributing by type to each chief technology officer, can very fast,
More precisely find fault to be correlated with director and corresponding service engineer, as early as possible operator is fed back
Failure problems solve, improve further fault and solve efficiency, reduce machine stopping time, improve machine
Device work efficiency, is greatly lowered the economic loss that machine down is caused.
Project management system is used to carry out crane facility troubleshooting, can be from macroscopic view and microcosmic point
Hold the progress of overall crane facility troubleshooting and the occurrence cause of concrete crane fault and
Result, accomplishes fault precise positioning, and fault person liable precisely process, and can effectively carry out project
General safety management and control.And the priority that crane breaks down can be considered simultaneously, totally manage from project
Reason aspect carries out the resource optimization such as technical staff, equipment and balance, effectively arranges the use of resource,
Critical breakdowns can be solved as early as possible, recover the safety in production of crane facility as early as possible.
Repair and maintenance platform fault analysis process system of the present invention and method can reach following economy, safety
Property, the beneficial effect such as technical.
Economy aspect
For manufacturer, reach remote supervisory and maintenance by repair and maintenance platform, it is possible to reduce safeguard
Engineer, to on-the-spot time and expense, has not only saved the cost of substantial amounts of man power and material, also can
Maintenance service is provided to equipment fault within the shortest time.For the customer, fault can be passed through
Analysis processing computer aid system, understands the ruuning situation of equipment and various abundant statistical report form,
And quickly understood the solution of dependent failure by Web, simultaneously by means of project group manage-ment system
Carry out classification troubleshooting, it will help the quick solution of on-the-spot crane fault, further reduce
Owing to shutting down the loss that operation brings, it is achieved provide the clipper service of doulbe-sides' victory for client and enterprise.
Safety aspect
Native system safety mainly uses procotol to limit, the many pregnancies of simultaneity factor reinforced by safety equipment
The means such as part checking ensure.General headquarters and harbour is carried out in virtual VPN mode by Internet network
On-the-spot network connects, it is ensured that the safety of network connection and stability, can effectively prevent weight
Data are wanted to leak and network attack.Safety equipment reinforcing aspect, make use of fort machine, carries out whole dimension
Platform core system O&M of keeping tie examines management and control with safety, it is possible to each in real-time collecting and monitoring network environment
The system mode of individual ingredient, security incident, network activity, it is possible to effective guarantee network and number
According to not being damaged, the most all operations in system carry out videograph, in order to late problems is reviewed.
Technical aspect
The big data resource of fault is the core realizing remote online fault diagnosis omnibearing to crane fault
Heart resource.Big data analysis technique can be by the different pieces of information such as structuring and unstructured data source
Fault message standardizes, and is gathered in consistent system.The process processed at big data fault with
In place of simple structural data processing mode is very different.One of such as ETL instrument
The big data analysis tool of Power Center of Informatica company, is pointed to the lifting of each harbour
The fusion of machine fault message etc. is the important ring building data warehouse with convergence, by from dissimilar
Data source extraction needed for data (fault message, control conjunction etc.), through data cleansing, finally
According to the data warehouse model pre-defined, load data in data warehouse.Extract (carries
Take) by interface extraction source data, such as ODBC, specific database connection, Transform (turns
Change) data that will extract, be converted to target data structure through service logic analysis, and realize collecting,
Load (loading) is loaded in server target warehouse through conversion and the data collected, it is achieved fault
The batch such as information loads, it is possible to by the data of the fault message unification of different systems to same data structure
In storehouse, in order in the displaying on foreground.
Phenomenon of the failure based on fault tree-failure cause model carries out initial characterization as described above
And quantitative failure reason analysis, then by based on the big number of ETL instrument combining neural network algorithm
According to analysis, jointly build the fault model of equipment, more Accurate Analysis failure cause, and constantly will
What the physical fault reason input of user scene feedback carried out fault model storehouse does not stops iteration and engineering
Practise, derive failure reason analysis the most accurately, will be able to science, effectively analysis fault occur
Relatedness, can provide the user with fault solution and later maintenance suggestion the most accurately simultaneously.
Being incorporated into by project management system in fault analysis and handling computer aided system, the division of labor is clear and definite,
Responsibility is clear, can be effectively improved the efficiency of troubleshooting.
The present invention has expanded the fault analysis processing system application in crane field the most further, fills up
The market vacancy that crane field is long-term, the present invention and the information system of company is integrated simultaneously,
Further increase the whole-process management level of company's crane facility.
Those of ordinary skill in the art is it should be appreciated that above embodiment is intended merely to
The bright present invention, and it is not used as limitation of the invention, as long as at the spirit of the present invention
In, change, the modification of embodiment described above all will be fallen in the range of claims of the present invention.
Claims (8)
1. a repair and maintenance platform fault analysis process system, it is characterised in that including:
Fault distribution module, failure analysis module, fault processing module, field data interface;
Described field data interface fault-signal, and distinguish event according to the signal characteristic of fault-signal
The type of barrier signal, and by type Write fault signal;
Described fault distribution module connects described field data interface, receives the fault after write type
Fault-signal is also added allocation field by signal, further according to described allocation field and fault type, at general
Fault-signal after reason sends to failure analysis module or fault processing module.
2. repair and maintenance platform fault analysis process system as claimed in claim 1, it is characterised in that:
Described fault-signal includes that data field, reserved field and check field, described data field are
The content of fault-signal, described reserved field is writeable clear data section.
3. repair and maintenance platform fault analysis process system as claimed in claim 2, it is characterised in that:
In the reserved field of the type Write fault signal of described fault-signal.
4. repair and maintenance platform fault analysis process system as claimed in claim 2, it is characterised in that:
Described allocation field was added before data field, and described allocation field includes indicating current failure
Signal should transmit the identification code to failure analysis module or fault processing module.
5. a repair and maintenance platform fault analysis and processing method, it is characterised in that including:
Receive fault-signal, and the type of the signal characteristic differentiation fault-signal according to fault-signal, and
By in type Write fault signal;
Receive the fault-signal after write type and to fault-signal interpolation allocation field, further according to institute
Stating allocation field and fault type, the fault-signal after processing sends to failure analysis module or fault
Processing module.
6. repair and maintenance platform fault analysis and processing method as claimed in claim 5, it is characterised in that:
Described fault-signal includes that data field, reserved field and check field, described data field are
The content of fault-signal, described reserved field is writeable clear data section.
7. repair and maintenance platform fault analysis and processing method as claimed in claim 6, it is characterised in that:
By in the reserved field of the type Write fault signal of fault-signal.
8. repair and maintenance platform fault analysis and processing method as claimed in claim 6, it is characterised in that:
Allocation field being added before data field, described allocation field includes indicating current failure letter
Number identification code that should transmit to failure analysis module or fault processing module.
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CN106698197A (en) * | 2016-12-01 | 2017-05-24 | 上海振华重工电气有限公司 | System for online diagnosis and preventive maintenance of container crane based on big data |
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CN111930081A (en) * | 2020-07-15 | 2020-11-13 | 西门子工厂自动化工程有限公司 | Method and device for monitoring AGV state, edge device and storage medium |
CN112249910A (en) * | 2020-10-20 | 2021-01-22 | 上海振华重工(集团)股份有限公司 | Processing method and system for shore bridge abnormity, computing equipment and storage medium |
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CN114604768A (en) * | 2022-01-24 | 2022-06-10 | 杭州大杰智能传动科技有限公司 | Intelligent tower crane maintenance management method and system based on fault identification model |
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