CN107193275A - A kind of equipment operation intelligent diagnosis system and diagnostic method - Google Patents
A kind of equipment operation intelligent diagnosis system and diagnostic method Download PDFInfo
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- CN107193275A CN107193275A CN201710548753.XA CN201710548753A CN107193275A CN 107193275 A CN107193275 A CN 107193275A CN 201710548753 A CN201710548753 A CN 201710548753A CN 107193275 A CN107193275 A CN 107193275A
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- 238000003745 diagnosis Methods 0.000 title claims abstract description 23
- 238000002405 diagnostic procedure Methods 0.000 title abstract description 11
- 238000000034 method Methods 0.000 claims abstract description 20
- 238000004458 analytical method Methods 0.000 claims abstract description 19
- 238000012545 processing Methods 0.000 claims abstract description 19
- 238000012544 monitoring process Methods 0.000 claims abstract description 17
- 238000007726 management method Methods 0.000 claims abstract description 11
- 238000005265 energy consumption Methods 0.000 claims abstract description 9
- 238000007405 data analysis Methods 0.000 claims abstract description 4
- ORILYTVJVMAKLC-UHFFFAOYSA-N Adamantane Natural products C1C(C2)CC3CC1CC2C3 ORILYTVJVMAKLC-UHFFFAOYSA-N 0.000 claims description 12
- 238000013507 mapping Methods 0.000 claims description 9
- 238000003062 neural network model Methods 0.000 claims description 9
- 230000004044 response Effects 0.000 claims description 9
- 238000001228 spectrum Methods 0.000 claims description 9
- 238000013523 data management Methods 0.000 claims description 8
- 238000013499 data model Methods 0.000 claims description 6
- 230000002463 transducing effect Effects 0.000 claims description 4
- 230000003044 adaptive effect Effects 0.000 claims description 3
- 230000002547 anomalous effect Effects 0.000 claims description 3
- 230000006870 function Effects 0.000 claims description 3
- 230000001537 neural effect Effects 0.000 claims description 3
- 238000012795 verification Methods 0.000 claims description 3
- 230000005611 electricity Effects 0.000 claims 1
- 238000004519 manufacturing process Methods 0.000 abstract description 12
- 230000002159 abnormal effect Effects 0.000 abstract description 5
- 238000010835 comparative analysis Methods 0.000 abstract description 2
- 239000003344 environmental pollutant Substances 0.000 description 5
- 231100000719 pollutant Toxicity 0.000 description 5
- 230000007613 environmental effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
- G05B23/0227—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions
- G05B23/0229—Qualitative history assessment, whereby the type of data acted upon, e.g. waveforms, images or patterns, is not relevant, e.g. rule based assessment; if-then decisions knowledge based, e.g. expert systems; genetic algorithms
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- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Testing And Monitoring For Control Systems (AREA)
Abstract
The invention discloses a kind of equipment operation intelligent diagnosis system and diagnostic method, equipment operation intelligent diagnosis system includes intelligent diagnostics device and intelligent monitor and control center, using intelligent diagnostics device, the overall process of each equipment in production process can be perceived, simultaneously can quickly by collection in worksite to the data such as energy consumption, audio, figure sent after processing to intelligent monitor and control center, each data are parsed by data acquisition device by intelligent monitor and control center, intelligent diagnostics then are carried out to the data after parsing by the center monitoring management platform software in server；Propose corresponding diagnostic method simultaneously, comprehensive data analysis, model foundation, spectrogram drafting, comparative analysis, error analysis and correcting process are carried out to operation information of each equipment in production overall process, safeguard and handle in time so as to be realized to the abnormal equipment of operation, with the characteristics of cost is low, versatility is good, time saving and energy saving, diagnosis efficiency is high, diagnosis is comprehensive strong.
Description
Technical field
The present invention relates to a kind of intelligent diagnosis system and diagnostic method, more particularly to a kind of equipment operation intelligent diagnosis system
And diagnostic method.
Background technology
Current enterprise can all be related to the application of items of equipment facility during production process and disposal of pollutants, and each
Equipment all has optimum operation interval in the process of running, also only works as each equipment and is run in optimum operation is interval,
It can ensure that production overall process all the time in continuous, operating state stably, good.But legacy equipment operational diagnostics be mainly it is logical
Cross manual site to check in real time or by scrap build come the single device analysis of being customized, so as to judge singlepoint devices
Running situation.The former wastes time and energy, and due to there is man's activity, it may appear that leak is checked, the latter exists costly, general
Property difference shortcoming.Simultaneously for pollution control, pollution monitoring equipment operational diagnostics, due to some blowdown enterprises and environmental protection operation
Unit is often in the consideration of number one, and normal prison of the country to its pollution control and disposal of pollutants is escaped by various means
Pipe, therefore often occur that treatment facility is stopped transport, equipment fault such as does not recover at the phenomenon, is that enhancement of environment brings with environmental management and chosen
War.
The content of the invention
In view of the above-mentioned problems, the problem of present invention is intended to solve is to provide, a kind of cost is low, versatility is good, time saving and energy saving, examine
Disconnected efficiency high, the comprehensive strong equipment operation intelligent diagnosis system of diagnosis, while a kind of corresponding diagnostic method is provided, so that real
The overall process of each equipment is perceived and judged in existing production process, not only ensure production overall process all the time in it is continuous, stably, it is good
Good operating state, and the supervision without leak in all directions can be realized to pollution control and disposal of pollutants.
To reach above-mentioned purpose, the present invention uses following technical scheme：A kind of equipment runs intelligent diagnosis system, including intelligence
Energy diagnostic device and intelligent monitor and control center, the intelligent diagnostics device include intelligence sensor, ADAM equipment, ARM equipment, bus
Interface, network interface card one, radio station one and touch-screen, the intelligence sensor are used for energy consumption, video in sensing apparatus running
And the signal such as audio, ADAM equipment is connected with the intelligence sensor, the transducing signal that intelligence sensor is exported is converted to
0~5V/4 of standard~20mA analog signalses or RS485/RS232 data signals, ARM equipment are connected with the ADAM equipment,
The master die analog quantity signal or standardized digital signal that ADAM equipment is exported such as are packed, compressed, being adjusted at the Data Management Analysis,
EBI, network interface card one, radio station one and touch-screen are connected with the ARM equipment, and the data after the processing of ARM equipment are entered
Row output and scene display in real time, while the data after the processing of ARM equipment are transferred into intelligent monitor and control center, the intelligent monitoring
Center includes network interface card two, radio station two, data acquisition device, server, memory, interchanger and giant-screen, the network interface card
Two and the radio station two receive the data transmitted in intelligent diagnostics device, data acquisition device and the network interface card
Two are connected with the radio station two, and the data in intelligent diagnostics device are carried out to be provided with data parsing, server
Center monitoring management platform software, and server is connected with the data acquisition device, the number after data acquisition device is parsed
According to data model foundation, analysis and intelligent diagnostics are carried out, memory, interchanger and giant-screen are connected with the server, will
Data model, data analysis process and the diagnostic result that server is set up are stored and shown.
Preferably, the intelligence sensor includes current sensor, camera and audio sensor.
Put down preferably, the center monitoring management platform software includes database, diagnostic model, Response project and supervision
Platform business software, the database includes real-time data base and relational database, and the diagnostic model uses neural network model,
The Response project uses risk prediction scheme storehouse, and the supervising platform business software includes monitoring in real time, frequency spectrum displaying, alarm pipe
Reason, data query, the playback of Response project function and statistical report form.
A kind of equipment runs intelligent diagnosing method, specifically includes following steps：
1) each equipment is sensed by intelligent diagnostics device and runs the signal such as energy consumption, video, audio in overall process, and sensing is believed
0~5V/4~20mA the analog signalses or RS485/RS232 data signals of standard number are converted to, then master die analog quantity are believed
Number or standardized digital signal the Data Management Analysis such as packed, compressed, being shown, finally the data after processing are exported and
Live display in real time, while sending the data after processing to intelligent monitor and control center；
2) intelligent monitor and control center receives the data sent by intelligent diagnostics device, and its data is parsed, and will
It is stored in real-time data base；
3) data after being parsed in step 2 are based on neural network model and relational database progress event mapping, simultaneously
Data after parsing are based on Establishment of Neural Model data algorithm model, and output model diagnostic data；
4) drawing data state spectrogram, and being docked with real-time data base；
5) relative error analysis is carried out to Real-time Monitoring Data and Model Diagnosis data, judges whether field apparatus operates in
In normal frequency spectrum；
6) when real time data is in normal frequency spectrum, system carries out scanning of reruning；When there is exceeding error range, enter
The abnormal alarm of tracing to the source of row；
7) traced to the source alarm according to the exception of step 6, carry out anomalous event processing, mapped by risk prediction scheme storehouse, and
Mapping verification is carried out with reference to practical operation situation；
8) the mapping check results obtained according to step 7 carry out risk prediction scheme storehouse amendment and relational database in thing
Part amendment, reaches the adaptive of neural network model and data algorithm model, then repeats and run by step 3~8
Scanning.
Beneficial effects of the present invention：The present invention uses intelligent diagnostics device, operation that can be to each equipment in production process
Status information is perceived, at the same can quickly by collection in worksite to the data such as energy consumption, audio, figure sent after processing to
Each data are parsed, then in server by intelligent monitor and control center by intelligent monitor and control center by data acquisition device
Center monitoring management platform software carries out intelligent diagnostics to the data after parsing, while proposing corresponding diagnostic method, comprehensively
To each equipment production overall process in operation information carry out Data Management Analysis, model set up, spectrogram draw, to score
Analysis, error analysis and correcting process, so as to safeguard and handle in time to running abnormal equipment realization, not only ensure production entirely
Process can be realized in all directions without leak all the time in continuous, operating state stably, good to pollution control and disposal of pollutants
Supervision.The present invention has the characteristics of cost is low, versatility is good, time saving and energy saving, diagnosis efficiency is high, diagnosis is comprehensive strong.
Brief description of the drawings
Fig. 1 is the system architecture diagram in the present invention.
Fig. 2 is the structured flowchart of center monitoring management platform software in the present invention.
Fig. 3 is the flow chart of diagnostic method in the present invention.
Embodiment
In order that those skilled in the art are better understood from the present invention program, below in conjunction with attached in the present embodiment
Figure, clear, complete description is carried out to the technical scheme in the embodiment of the present invention.
As shown in Figure 1 and Figure 2, the present invention uses following technical scheme：A kind of equipment runs intelligent diagnosis system, including intelligence
Energy diagnostic device and intelligent monitor and control center, intelligent diagnostics device include intelligence sensor, ADAM equipment, ARM equipment, bus and connect
Mouth, network interface card one, radio station one and touch-screen, intelligence sensor are used for energy consumption, video and sound in sensing apparatus running
The signals such as frequency, ADAM equipment is connected with intelligence sensor, by the transducing signal that intelligence sensor is exported be converted to standard 0~
5V/4~20mA analog signalses or RS485/RS232 data signals, ARM equipment are connected with ADAM equipment, and ADAM equipment is defeated
The master die analog quantity signal or standardized digital signal gone out such as is packed, compressed, being adjusted at the Data Management Analysis, EBI, net
Card one, radio station one and touch-screen are connected with ARM equipment, and the data after the processing of ARM equipment are exported and scene is real
When show, while the data after the processing of ARM equipment are transferred into intelligent monitor and control center, intelligent monitor and control center includes network interface card two, nothing
Line radio station two, data acquisition device, server, memory, interchanger and giant-screen, network interface card two and radio station two receive and come from
The data transmitted in intelligent diagnostics device, data acquisition device is connected with network interface card two and radio station two, will be from intelligence
Data in diagnostic device carry out being provided with center monitoring management platform software, and server and number in data parsing, server
It is connected according to harvester, the data after data acquisition device is parsed carry out data model foundation, analysis and intelligent diagnostics, storage
Device, interchanger and giant-screen are connected with server, data model, data analysis process and the diagnostic result that server is set up
Stored and shown.Center monitoring management platform software includes database, diagnostic model, Response project and supervising platform business
Software, database includes real-time data base and relational database, and diagnostic model uses neural network model, and Response project uses wind
Dangerous prediction scheme storehouse, supervising platform business software includes real-time monitoring, frequency spectrum displaying, alarming and managing, data query, Response project function
Playback and statistical report form.
As shown in Figure 3：The present invention runs intelligent diagnosis system by using equipment, and a kind of equipment operation intelligence is proposed accordingly
Energy diagnostic method, specifically includes following steps：
1) each equipment is sensed by intelligent diagnostics device and runs the signal such as energy consumption, video, audio in overall process, and sensing is believed
0~5V/4~20mA the analog signalses or RS485/RS232 data signals of standard number are converted to, then master die analog quantity are believed
Number or standardized digital signal the Data Management Analysis such as packed, compressed, being shown, finally the data after processing are exported and
Live display in real time, while sending the data after processing to intelligent monitor and control center；
2) intelligent monitor and control center receives the data sent by intelligent diagnostics device, and its data is parsed, and will
It is stored in real-time data base；
3) data after being parsed in step 2 are based on neural network model and relational database progress event mapping, simultaneously
Data after parsing are based on Establishment of Neural Model data algorithm model, and output model diagnostic data；
4) drawing data state spectrogram, and being docked with real-time data base；
5) relative error analysis is carried out to Real-time Monitoring Data and Model Diagnosis data, judges whether field apparatus operates in
In normal frequency spectrum；
6) when real time data is in normal frequency spectrum, system carries out scanning of reruning；When there is exceeding error range, enter
The abnormal alarm of tracing to the source of row；
7) traced to the source alarm according to the exception of step 6, carry out anomalous event processing, mapped by risk prediction scheme storehouse, and
Mapping verification is carried out with reference to practical operation situation；
8) the mapping check results obtained according to step 7 carry out risk prediction scheme storehouse amendment and relational database in thing
Part amendment, reaches the adaptive of neural network model and data algorithm model, then repeats and run by step 3~8
Scanning.
The present invention uses intelligent diagnostics device, and the running state information of each equipment in production process can be perceived,
Simultaneously can quickly by collection in worksite to the data such as energy consumption, audio, figure sent after processing to intelligent monitor and control center, by intelligence
Energy Surveillance center is parsed by data acquisition device to each data, then soft by the center monitoring management platform in server
Part carries out intelligent diagnostics to the data after parsing, while corresponding diagnostic method is proposed, comprehensively to each equipment in production
Operation information in overall process carries out Data Management Analysis, model foundation, spectrogram drafting, comparative analysis, error analysis and amendment
Processing, safeguards and handles so as to realize to running abnormal equipment in time, not only ensure production overall process all the time in it is continuous,
Stable, good operating state, and the supervision without leak in all directions can be realized to pollution control and disposal of pollutants.The present invention has
The characteristics of cost is low, versatility is good, time saving and energy saving, diagnosis efficiency is high, diagnosis is comprehensive strong.
Obviously, described embodiment is only a part of embodiment of the present invention, rather than whole embodiments.It is based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under the premise of creative work is not made
Embodiment, should all belong to the scope of protection of the invention.
Claims (4)
1. a kind of equipment runs intelligent diagnosis system, including intelligent diagnostics device and intelligent monitor and control center, it is characterised in that：It is described
Intelligent diagnostics device includes intelligence sensor, ADAM equipment, ARM equipment, EBI, network interface card one, radio station one and touched
Screen, the intelligence sensor is used for the signal such as energy consumption, video and audio in sensing apparatus running, ADAM equipment with it is described
Intelligence sensor is connected, and the transducing signal that intelligence sensor is exported is converted to 0~5V/4~20mA analog signalses of standard
Or RS485/RS232 data signals, ARM equipment is connected with the ADAM equipment, and the master die analog quantity that ADAM equipment is exported is believed
Number or standardized digital signal the Data Management Analysis, EBI, network interface card one, the and of radio station one such as packed, compressed, being adjusted
Touch-screen is connected with the ARM equipment, and the data after the processing of ARM equipment are exported and scene display in real time, simultaneously will
Data after the processing of ARM equipment are transferred to intelligent monitor and control center, the intelligent monitor and control center include network interface card two, radio station two,
Data acquisition device, server, memory, interchanger and giant-screen, the network interface card two and the radio station two receive and come from
The data transmitted in intelligent diagnostics device, data acquisition device is connected with the network interface card two and the radio station two, will
Data in intelligent diagnostics device carry out being provided with center monitoring management platform software in data parsing, server, and clothes
Business device is connected with the data acquisition device, the foundation of data after data acquisition device is parsed progress data model, analyze and
Intelligent diagnostics, memory, interchanger and giant-screen are connected with the server, data model that server is set up, data
Analysis process and diagnostic result are stored and shown.
2. equipment according to claim 1 runs intelligent diagnosis system, it is characterised in that：The intelligence sensor includes electricity
Flow sensor, camera and audio sensor.
3. equipment according to claim 1 runs intelligent diagnosis system, it is characterised in that：The center monitoring management platform
Software include database, diagnostic model, Response project and supervising platform business software, the database include real-time data base and
Relational database, the diagnostic model uses neural network model, and the Response project uses risk prediction scheme storehouse, and the supervision is put down
Platform business software includes real-time monitoring, frequency spectrum displaying, alarming and managing, data query, the playback of Response project function and statistical report form.
4. a kind of equipment runs intelligent diagnosing method, it is characterised in that：Specifically include following steps：
1) each equipment is sensed by intelligent diagnostics device and runs the signal such as energy consumption, video, audio in overall process, and transducing signal is turned
Be changed to the 0~5V/4~20mA analog signalses or RS485/RS232 data signals of standard, then by master die analog quantity signal or
Standardized digital signal such as is packed, compressed, being shown at the Data Management Analysis, is finally exported the data after processing and scene
Display in real time, while sending the data after processing to intelligent monitor and control center；
2) intelligent monitor and control center receives the data sent by intelligent diagnostics device, and its data is parsed, and is stored up
Exist in real-time data base；
3) data after being parsed in step 2 are based on neural network model and relational database progress event mapping, while will solution
Data after analysis are based on Establishment of Neural Model data algorithm model, and output model diagnostic data；
4) drawing data state spectrogram, and being docked with real-time data base；
5) relative error analysis is carried out to Real-time Monitoring Data and Model Diagnosis data, judges whether field apparatus operates in normally
In frequency spectrum；
6) when real time data is in normal frequency spectrum, system carries out scanning of reruning；When there is exceeding error range, carry out different
Normal alarm of tracing to the source；
7) traced to the source alarm according to the exception of step 6, carry out anomalous event processing, mapped by risk prediction scheme storehouse, and combine
Practical operation situation carries out mapping verification；
8) event in the amendment of the mapping check results progress risk prediction scheme storehouse obtained according to step 7 and relational database is repaiied
Just, the adaptive of neural network model and data algorithm model is reached, then repeats and carries out operation scanning by step 3~8.
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| CN201710548753.XA CN107193275A (en) | 2017-07-01 | 2017-07-01 | A kind of equipment operation intelligent diagnosis system and diagnostic method |
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| CN201710548753.XA CN107193275A (en) | 2017-07-01 | 2017-07-01 | A kind of equipment operation intelligent diagnosis system and diagnostic method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110177017A (en) * | 2019-06-04 | 2019-08-27 | 沃德(天津)智能技术有限公司 | A kind of speed reducer intelligent Fault Diagnose Systems and its diagnostic method |
| CN115755850A (en) * | 2022-11-22 | 2023-03-07 | 宝武集团环境资源科技有限公司 | Intelligent auscultation expert system for key equipment and diagnosis method thereof |
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| US20080059839A1 (en) * | 2003-10-31 | 2008-03-06 | Imclone Systems Incorporation | Intelligent Integrated Diagnostics |
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Application publication date: 20170922 |