CN106014876A - Fan monitoring device based on expert system - Google Patents
Fan monitoring device based on expert system Download PDFInfo
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- CN106014876A CN106014876A CN201610323976.1A CN201610323976A CN106014876A CN 106014876 A CN106014876 A CN 106014876A CN 201610323976 A CN201610323976 A CN 201610323976A CN 106014876 A CN106014876 A CN 106014876A
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- module
- specialist system
- fan
- monitoring module
- expert system
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Classifications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F05—INDEXING SCHEMES RELATING TO ENGINES OR PUMPS IN VARIOUS SUBCLASSES OF CLASSES F01-F04
- F05B—INDEXING SCHEME RELATING TO WIND, SPRING, WEIGHT, INERTIA OR LIKE MOTORS, TO MACHINES OR ENGINES FOR LIQUIDS COVERED BY SUBCLASSES F03B, F03D AND F03G
- F05B2260/00—Function
- F05B2260/80—Diagnostics
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- Wind Motors (AREA)
- Control Of Positive-Displacement Air Blowers (AREA)
Abstract
The invention discloses a fan monitoring device based on an expert system. The fan monitoring device is characterized by comprising the expert system, a power source module, a control panel, a display module, a speed monitoring module, a current monitoring module, a voltage monitoring module, a switching value monitoring module, a temperature and humidity monitoring module, an image collection module and a positioning module. After various parameters and real-time images of a fan are collected through the monitoring modules, data are transmitted to the expert system through the control panel. Problems are diagnosed and processed through the expert system of the fan monitoring device, various alarm values and limit values are calculated through recognition and reasoning of the expert system, and operations such as timing set and parameter collection are conducted on the fan according to set documents. The knowledge representation and knowledge reasoning technology of artificial intelligence is adopted by the expert system for simulating complex problems which can only be solved by domain experts usually.
Description
Technical field
The invention belongs to wind power generation field, particularly to a kind of Microprocessor-based Fan Monitor based on specialist system.
Background technology
Along with becoming increasingly conspicuous of environmental problem and energy problem, wind energy, as a kind of green energy resource renewable, free of contamination, is increasingly paid close attention to by people.Wind-power electricity generation is one of principal mode utilizing wind energy.The position of blower fan, local environment, generated energy, fan operation is played vital effect by the parameters such as blade velocity of rotation, running environment humiture, these information are gathered and collect and through processing by this device respectively, specialist system will be passed to through the information of screening, reasoning through specialist system internal database Yu calculation procedure, and pass on instruction by panel, effectively substitute manual operation, identify the most rapidly and solve the bursting problem in wind-driven generator running.
The present invention by after the various parameters of blower fan and real time image collection, transfers data to specialist system by panel by each monitoring modular.Problem is diagnosed by specialist system and processes by described Microprocessor-based Fan Monitor, through identification and the reasoning of specialist system, calculates various warning and limit value, and is timed the operations such as setting, parameter acquisition according to enactment document logarithm blower fan.Described specialist system uses the representation of knowledge in artificial intelligence and knowledge reasoning technology to simulate the challenge that generally could be solved by domain expert.
Summary of the invention
The invention discloses a kind of Microprocessor-based Fan Monitor based on specialist system, it is characterized in that: include specialist system (2), power module (1), panel (10), display module (9), speed monitoring module (6), current monitoring module (5), voltage monitoring module (7), switching value monitoring modular (4), image capture module (3), locating module (8).The present invention by after the various parameters of blower fan and real time image collection, transfers data to specialist system by panel by each monitoring modular.Problem is diagnosed by specialist system and processes by described Microprocessor-based Fan Monitor, through identification and the reasoning of specialist system, calculates various warning and limit value, and is timed the operations such as setting, parameter acquisition according to enactment document logarithm blower fan.Described specialist system uses the representation of knowledge in artificial intelligence and knowledge reasoning technology to simulate the challenge that generally could be solved by domain expert.
Described power module is specialist system, image capture module, switching value module, current monitoring module, speed monitoring module, voltage monitoring module, locating module, display module, panel provide electric energy.
Described specialist system is connected with panel, is quickly identified by the information bank of internal system and calculation procedure and is solved bursting problem.
Described image capture module is sent to panel by camera collection view data.
Described switching value module switch amount is monitored and data for presentation panel.
Detected current related data is passed to panel by described current monitoring module.
The velocity correlation data of gained are passed to panel by described speed monitoring module.
The voltage data monitored is sent to panel and processes by described voltage monitoring module.
Described locating module is then responsible for processing blower fan position data to panel.
Described display module receives information that panel processed and reflects on display.
Described panel is then the data receiving other modules, passes to display module after treatment, and is connected with specialist system, identifies and solve bursting problem.
Described specialist system uses the representation of knowledge in artificial intelligence and knowledge reasoning technology to simulate the challenge that generally could be solved by domain expert.
Described image capture module uses USB2.0 technology to carry out image transmitting.
Described locating module uses GPS or Big Dipper location technology, it is also possible to be radio sector zone location.
Corresponding device by after the various parameters of blower fan and real time image collection, transfers data to specialist system by panel by each monitoring modular.Problem is diagnosed by specialist system and processes by described Microprocessor-based Fan Monitor, through identification and the reasoning of specialist system, calculates various warning and limit value, and is timed the operations such as setting, parameter acquisition according to enactment document logarithm blower fan.Described specialist system uses the representation of knowledge in artificial intelligence and knowledge reasoning technology to simulate the challenge that generally could be solved by domain expert.
Beneficial effects of the present invention include following some:
1., under wind-driven generator is operated in complex environment, each side data can be observed in time, fan operation situation is efficiently controlled.
2. simple in construction, easy to operate, control precisely.
3. low cost, cost performance is high.
Below by drawings and Examples, technical scheme is described in further detail.
Accompanying drawing explanation
Fig. 1 is a kind of Microprocessor-based Fan Monitor workflow schematic diagram based on specialist system provided by the present invention.
Detailed description of the invention
As shown in Figure 1, the present invention provides a kind of Microprocessor-based Fan Monitor based on specialist system, is made up of power module (1), specialist system (2), image capture module (3), switching value module (4), current monitoring module (5), speed monitoring module (6), voltage monitoring module (7), locating module (8), display module (9), panel (10).The present invention can real-time monitored blower fan operational data, and use the representation of knowledge in artificial intelligence and knowledge reasoning technology to simulate the challenge that generally could be solved by domain expert by specialist system.
Panel (10) is connected with specialist system (2), is quickly identified by the information bank of internal system and calculation procedure and is solved bursting problem.
Panel (10) is connected with image capture module (3), completes the real-time data acquisition of image, it is achieved the monitoring of ingredient each to blower interior.
Panel (10) is connected with locating module (8), it is achieved the location of blower fan physical location, and station-keeping mode is GPS or Big Dipper location.
Panel (10) is connected with switching value monitoring modular (4), current monitoring module (5), speed monitoring module (6), voltage monitoring module (7) simultaneously, the data such as the electric current of Real-time Collection blower fan, voltage, speed and control signal, the parameter that panel (10) is uploaded according to distance host, calculate in real time and Monitoring Data change, and by specialist system, problem is analyzed, related data is calculated, realize the Autonomous control of wind-driven generator, substitute manual operation, solve bursting problem the most timely.
In sum, a kind of Microprocessor-based Fan Monitor based on specialist system provided by the present invention is simple and feasible.
It is last it is noted that above example is only limited in order to technical scheme to be described, although the present invention being described in detail with reference to preferred embodiment, it will be understood by those within the art that: technical scheme still can be modified or equivalent by it, and these amendments or equivalent also can not make amended technical scheme depart from the spirit and scope of technical solution of the present invention.
Claims (5)
1. a Microprocessor-based Fan Monitor based on specialist system is characterized in that described a kind of based on specialist system Microprocessor-based Fan Monitor is made up of power module (1), specialist system (2), image capture module (3), switching value module (4), current monitoring module (5), speed monitoring module (6), voltage monitoring module (7), locating module (8), display module (9), panel (10).
2. the power module described in is specialist system, image capture module, switching value module, current monitoring module, speed monitoring module, voltage monitoring module, locating module, display module, panel provide electric energy.
A kind of Microprocessor-based Fan Monitor based on specialist system the most according to claim 1, it is characterised in that described specialist system uses the representation of knowledge in artificial intelligence and knowledge reasoning technology to simulate the challenge that generally could be solved by domain expert.
A kind of Microprocessor-based Fan Monitor based on specialist system the most according to claim 1, it is characterised in that corresponding device by after the various parameters of blower fan and real time image collection, transfers data to specialist system by panel by each monitoring modular.
5. problem is diagnosed by specialist system and processes by Microprocessor-based Fan Monitor described in, through identification and the reasoning of specialist system, calculates various warning and limit value, and is timed the operations such as setting, parameter acquisition according to enactment document logarithm blower fan.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610323976.1A CN106014876A (en) | 2016-05-17 | 2016-05-17 | Fan monitoring device based on expert system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201610323976.1A CN106014876A (en) | 2016-05-17 | 2016-05-17 | Fan monitoring device based on expert system |
Publications (1)
| Publication Number | Publication Date |
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| CN106014876A true CN106014876A (en) | 2016-10-12 |
Family
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201610323976.1A Pending CN106014876A (en) | 2016-05-17 | 2016-05-17 | Fan monitoring device based on expert system |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006059966A (en) * | 2004-08-19 | 2006-03-02 | Kaneka Corp | Magnet roller |
| JP2011038499A (en) * | 2009-08-18 | 2011-02-24 | Hitachi Ltd | Natural energy power generation control system, control device, and control method |
| CN102434388A (en) * | 2011-11-17 | 2012-05-02 | 高丙团 | Health status online monitoring device of wind generating set and monitoring method of monitoring device |
| CN102622458A (en) * | 2011-01-30 | 2012-08-01 | 华锐风电科技(集团)股份有限公司 | Wind generating set vibration and load integration evaluating system and evaluation method |
| CN103343728A (en) * | 2013-06-09 | 2013-10-09 | 上海乾祺电子科技有限公司 | Wind generating set remote on-line multi-mode health state monitoring and fault diagnosis system |
-
2016
- 2016-05-17 CN CN201610323976.1A patent/CN106014876A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2006059966A (en) * | 2004-08-19 | 2006-03-02 | Kaneka Corp | Magnet roller |
| JP2011038499A (en) * | 2009-08-18 | 2011-02-24 | Hitachi Ltd | Natural energy power generation control system, control device, and control method |
| CN102622458A (en) * | 2011-01-30 | 2012-08-01 | 华锐风电科技(集团)股份有限公司 | Wind generating set vibration and load integration evaluating system and evaluation method |
| CN102434388A (en) * | 2011-11-17 | 2012-05-02 | 高丙团 | Health status online monitoring device of wind generating set and monitoring method of monitoring device |
| CN103343728A (en) * | 2013-06-09 | 2013-10-09 | 上海乾祺电子科技有限公司 | Wind generating set remote on-line multi-mode health state monitoring and fault diagnosis system |
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Application publication date: 20161012 |
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| RJ01 | Rejection of invention patent application after publication |