CN106861915A - Electric cleaner intelligent monitoring diagnostic control system based on GA technologies - Google Patents

Electric cleaner intelligent monitoring diagnostic control system based on GA technologies Download PDF

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Publication number
CN106861915A
CN106861915A CN201710077193.4A CN201710077193A CN106861915A CN 106861915 A CN106861915 A CN 106861915A CN 201710077193 A CN201710077193 A CN 201710077193A CN 106861915 A CN106861915 A CN 106861915A
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China
Prior art keywords
electric cleaner
intelligent monitoring
circuit
electric
control system
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CN201710077193.4A
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Chinese (zh)
Inventor
吴卫萍
曹智梅
姜海燕
刘旭
董海红
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GUANGDONG SONGSHAN POLYTECHNIC COLLEGE
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GUANGDONG SONGSHAN POLYTECHNIC COLLEGE
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Priority to CN201710077193.4A priority Critical patent/CN106861915A/en
Publication of CN106861915A publication Critical patent/CN106861915A/en
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B03SEPARATION OF SOLID MATERIALS USING LIQUIDS OR USING PNEUMATIC TABLES OR JIGS; MAGNETIC OR ELECTROSTATIC SEPARATION OF SOLID MATERIALS FROM SOLID MATERIALS OR FLUIDS; SEPARATION BY HIGH-VOLTAGE ELECTRIC FIELDS
    • B03CMAGNETIC OR ELECTROSTATIC SEPARATION OF SOLID MATERIALS FROM SOLID MATERIALS OR FLUIDS; SEPARATION BY HIGH-VOLTAGE ELECTRIC FIELDS
    • B03C3/00Separating dispersed particles from gases or vapour, e.g. air, by electrostatic effect
    • B03C3/34Constructional details or accessories or operation thereof
    • B03C3/66Applications of electricity supply techniques
    • B03C3/68Control systems therefor

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  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Electrostatic Separation (AREA)

Abstract

The invention discloses a kind of electric cleaner intelligent monitoring diagnostic control system based on GA technologies, it is related to intellectual monitoring diagnostic field, the electric cleaner intelligent monitoring diagnostic control system for being based on GA technologies carries out dynamic optimization to BP neural network system, adjustment network architecture parameters, convergence rate and precision are improved, improves on-line prediction effect.Improving electric cleaner equipment to greatest extent can start rate, utilization rate and efficiency, with good practical value.

Description

Electric cleaner intelligent monitoring diagnostic control system based on GA technologies
Technical field
The present invention relates to intellectual monitoring diagnostic field, more particularly to a kind of electric cleaner intelligent monitoring based on GA technologies Diagnostic control system.
Background technology
Electric cleaner is that environmental administration is recommended energetically, the Environmental-protecting dust-removing equipment that factory and enterprise is routinely configured.Relative to machinery The simple structures such as deduster, except dust quantity is big, for the preposition cleaner of dedusting particle headlight, due to electric cleaner have it is recyclable The advantage of fine fraction dust, generally as rearmounted cleaner in environmental protection of enterprise dust pelletizing system.
Used as the board-like electric field electric cleaner of dual chamber three of the large-size horizontal of standard configuration, the quality of its technology status is directly influenced Enterprise business is normally carried out, and the discussion to efficiency of dust collection restraining factors and corrective measure is just particularly important. The electric-field dust collector complex structure of existing large-size horizontal dual chamber three, work under hard conditions, trouble point is more, equipment can start rate, utilize Rate and relatively inefficient.
The content of the invention
The technical problems to be solved by the invention are to provide a kind of electric cleaner intelligent monitoring diagnosis based on GA technologies Control system, can to greatest extent improve electric cleaner equipment can start rate, utilization rate and efficiency, with good practical valency Value.
To achieve the above object, the present invention provides following technical scheme:A kind of electric cleaner intelligence based on GA technologies Change monitoring, diagnosing control system, it is characterised in that:The electric cleaner intelligent monitoring diagnostic control system based on GA technologies Including electric cleaner high pressure silicon rectifier intelligent monitoring control device and electric dust-collector anode rapping intelligent monitoring control device Two parts, are respectively acting on the corona machine and anode of electric cleaner, electric cleaner high pressure silicon rectifier intelligent monitoring control dress Put and be sequentially connected the board-like electric field electric cleaner of dual chamber three of large-size horizontal and electric dust-collector anode rapping intelligent monitoring control device.
Preferably, the electric cleaner high-voltage rectifying intelligent monitoring control device includes high-voltage rectifying main circuit and intelligence High-tension circuit, high pressure silicon rectifier main circuit includes reactor circuit, ghyristor circuit, Transformer Rectifier circuit and time delay relay electricity Road, reactor circuit input is connected with external power grid, and the output end of Transformer Rectifier circuit is connected with the corona discharge electrode of electric cleaner, prolongs When relay circuit be relay protection bypass, be connected with reactor circuit input and ghyristor circuit output end respectively, repoussage high Stream intelligent pressure regulating circuit includes current transducer, electronic computer, server and electronic controller.Electronic computer is core Part, its basic configuration should be not less than Duo two generations double-core CPU, 4G internal memory, 500G hard drive spaces, machine embedded digital monitoring, diagnosing System.
Preferably, the electric dust-collector anode rapping intelligent monitoring control device includes dust concentration transmitter, torsion Transmitter, electronic computer, server, electronic controller, frequency conversion velocity modulation motor frequency modulation loop.
Beneficial effect using above technical scheme is:This is based on the electric cleaner intelligent monitoring diagnosis control of GA technologies System carries out dynamic optimization to BP neural network system, adjusts network architecture parameters, improves convergence rate and precision, improves online Prediction effect.Improving electric cleaner equipment to greatest extent can start rate, utilization rate and efficiency, with good practical value.
Brief description of the drawings
Specific embodiment of the invention is described in further detail below in conjunction with the accompanying drawings.
Fig. 1 is the present invention in the electric cleaner intelligent monitoring diagnostic control system schematic diagram of GA technologies;
Fig. 2 is electric cleaner high pressure silicon rectifier intelligent monitoring control device schematic diagram;
Fig. 3 is electric dust-collector anode rapping intelligent monitoring control device schematic diagram.
Specific embodiment
A kind of electric cleaner intelligent monitoring diagnosis control based on GA technologies that the invention will now be described in detail with reference to the accompanying drawings The preferred embodiment of system.
Fig. 1, Fig. 2 and Fig. 3 show a kind of electric cleaner intelligent monitoring diagnostic control system based on GA technologies of the present invention Specific embodiment:
The electric dust-collector anode rapping intelligent monitoring control device includes electric cleaner high-voltage rectifying intelligent monitoring control Two parts of device processed and electric dust-collector anode rapping intelligent monitoring control device, are respectively acting on the corona machine of electric cleaner And anode, as shown in Figure 1.
After the second generation spark tracking automatic high pressure silicon rectifier device based on computer technology occurs, electric cleaner equipment Accident is greatly lowered with rate of breakdown.But it is leading with foreign countries due to that cannot exclude an example that sparks of accidentalia Technology is than still having certain gap, the space also further developed.
To overcome disadvantages mentioned above, the present apparatus to provide a kind of computer information processing system based on Hybrid GA-BP algorithm, control The control machines loop processed angle of flow, being optimal control electric cleaner rectification exports the purpose of high pressure.
A wave filter-AR model is set up with time series method, for discrete type change at random amount xt, its corresponding probability Density function is
U is the average of stochastic variable in formula:δ2It is variance of a random variable, its relational expression is,By public affairs Formula calculates reference residual sequence { at}RProbability density function PR(at), residual sequence { a to be checkedt}TProbability density function PT (at) and by sequential { x to be checkedt}TBy wave filter ARRLater residual sequence { at}RTProbability density function PRT(at).Than Compared with PR、RT、PRTBetween difference, reach the purpose of identification state.
For the board-like electric field electric cleaner of dual chamber three of large-size horizontal, can be divided into non-fault mode, operating voltage abnormal patterns, A rooms (one, two, three electric fields) anode rapping frequency anomalies pattern, B rooms (one, two, three electric fields) anode rapping frequency anomaly pattern. Signal is gathered by testing the efficiency of dust collection under corresponding states, corresponding state model is set up, the specific number of information distance is obtained Value, is stored in the expert systems such as graphical fuzzy neural network expert knowledge library, as reference sample.In actual behaviour In work, after processing collection information, the information distance with reference sample is compared, and determines failure whether there is and failure classes Not.
Electric cleaner high-voltage rectifying intelligent monitoring control device technical scheme is as shown in Fig. 2 the device includes repoussage high Stream main circuit and intelligent high-pressure circuit.
Reactor circuit input is connected with external power grid in high-voltage rectifying main circuit, output end and the electricity of Transformer Rectifier circuit The corona discharge electrode of deduster is connected, and time delay relay circuit is bypassed for relay protection, respectively with reactor circuit input and controllable silicon Circuit output end is connected.
High-voltage rectifying intelligent pressure regulating circuit includes current transducer, electronic computer, server and electronic controller.Electronics Computer is core component, and its basic configuration should be not less than Duo two generations double-core CPU, 4G internal memory, 500G hard drive spaces, and machine is built-in Digital monitoring diagnostic system, whole system is divided into hardware and software two large divisions, and hardware components are mainly to be adopted based on DSP data The embedded device state monitoring module of collection technology, software section provides fault inquiry and Diagnostics Interfaces, and input becomes with electric current Device and server is sent to be connected, input is connected with electronic controller and server;Current transducer input and change repoussage circuit Output end, electric precipitator corona pole enter that end is connected output end and electronic computer is connected, and current transducer includes that current signal is passed The parts such as sensor, time-delay relay, electron-amplifier, A/D converter;Server uses Access database technologys, and it is right to realize The management of mass data files, and it is configured with graphical fuzzy neural network expert knowledge library;
Electronic controller is the electron servo executing agency based on electromechanical integration technology, and input, output end are connected respectively Electronic computer and ghyristor circuit trigger circuit.Using the neural network technology based on GA-BP algorithms and computer technology Information system is processed the data signal after rectification, the control control machines loop angle of flow, adjustment rectification output high pressure. The graphical fuzzy neural network expert knowledge library differentiation of server, the moment that accidentalia is caused are built in due to make use of Electric discharge forecloses, and that improves equipment starts rate.
The board-like electric field electric cleaner of dual chamber three of large-size horizontal, is metallurgy, smelting, chemical industry, building material large and medium-sized enterprise routine Large-scale, the high-effective dust-removing cleaner of configuration, bulky, complex structure, the big position that shakes are more, in addition to anode rapping, also wrap Include the parts such as cathode rapping, preceding distribution grid rapping, rear distribution grid rapping, dust hopper rapping, but in view of cathode rapping except dust quantity Account for total except more than the 98% of dust quantity, therefore device intelligence monitor control system only considers to shake cathode rapping device at rapping position Play the control of effect.
Electric dust-collector anode rapping intelligent monitoring control device technical scheme is that the device includes dust concentration pick-up Device, torsion transmitter, electronic computer, server, electronic controller, frequency conversion velocity modulation motor frequency modulation loop, as shown in Figure 3.
Electronic computer is core component, built-in multivariate regression analysis software in machine, input and dust concentration transmitter, Torsion transmitter, server are connected, and its output end is connected with electronic controller, server;Server is configured with graphical fuzzy Neutral net expert knowledge library;Electronic controller belongs to the electron servo executing agency based on electromechanical integration technology, input It is connected with electronic computer, input is connected with anode rapping frequency control motor frequency modulation loop;Dust concentration transmitter, including Sensor of dust concentration, electron-amplifier and A/D converter;Torsion transmitter, including torsion torque sensor electron-amplifier and A/D Converter.Both transmitters are respectively mounted by electromechanical integration mode and just pass in and out side port and three electric fields in electric cleaner On anode rapping shaft.
The device using dust concentration transmitter and torsion transmitter both non-electricity measure elements, by electric cleaner Three electric field anode rapping driving torque situations of change of import and export side dust concentration change situation and electric cleaner switch to numeral Signal, by the built-in graphical fuzzy neural network expertise of the multivariate regression analysis software and server of built-in computer After storehouse analysis judges, carried out at data using nerual network technique and the information system of computer technology based on GA-BP algorithms Instruction is sent after reason, the frequency modulation loop of anode rapping frequency control motor is acted on by execution unit electronic controller, to change Become electric dust-collector anode rapping frequency, for anode rapping system of electric precipitator provides a kind of effective intelligent apparatusization prison Survey, the device is applied to the board-like power plant's electric cleaner of dual chamber three of large-size horizontal.
Being actually needed for slave unit management is set out in industrial enterprise production scene, often dense to the dust of electric cleaner The parameter state assessment parameters such as degree, measuring point temperature, measuring point humidity and electric-field intensity, electric potential gradient, current density are predicted, Certainly it is most direct index parameter, operating voltage, electric cleaner equipment operator as working state of electrical dust remover is weighed Should more pay close attention to constantly.Therefore, electric cleaner equipment management personnel should be chosen according to specific prediction data source, prediction requirement Corresponding network structure.Field experience teaches that, even same type prediction data source, due to the shadow by random factor Ring, in different time sections, the requirement to network is also different.In operation, must concrete condition tool Body is analyzed, and makes sure to keep in mind not see practical object and use single fixed mode.Existed using the electric cleaner intellectuality based on GA technologies Line monitoring diagnosis system, network can be according to historical data and prediction data source, Automatic-searching optimum network, above-mentioned forecasting problem Just it is readily solved.
It is with the board-like electric field ESP Efficiency time series of dual chamber three of certain enterprise's large-size horizontal in actual applications Example.The GA models choose 20 input nodes, to utilize more data messages as far as possible in prediction, are saved using an input Point is to make full use of existing sample value.
After optimizing through GA the network architecture parameters that obtain with network architecture parameters determined by artificial experience to such as table 1 It is shown.
The network architecture parameters contrast that the different time section of table 1 determines with artificial experience
Neural network model input time sequence data is:
{Xt-1, Xt-2..., Xt-20}={ X1, X2..., X20}
It is tackled in actual prediction to be normalized.
The board-like power plant's electric cleaner intelligence of dual chamber three of large-size horizontal of the intelligent monitoring diagnosis control technology based on GA technologies Main technical performance index and domestic industry average level and use BP nerves that monitoring, diagnosing control system is actually reached can be changed Network contrast is as shown in table 2.
The key technical indexes of electric cleaner under the different technologies level of table 2
The above is only the preferred embodiment of the present invention, it is noted that for the person of ordinary skill of the art, Without departing from the concept of the premise of the invention, various modifications and improvements can be made, these belong to guarantor of the invention Shield scope.

Claims (3)

1. a kind of electric cleaner intelligent monitoring diagnostic control system based on GA technologies, it is characterised in that:It is described based on GA skills The electric cleaner intelligent monitoring diagnostic control system of art includes electric cleaner high-voltage rectifying intelligent monitoring control device and electricity Two parts of deduster anode rapping intelligent monitoring control device, are respectively acting on the corona machine and anode of electric cleaner, electricity Deduster high-voltage rectifying intelligent monitoring control device is sequentially connected the board-like electric field electric cleaner of dual chamber three of large-size horizontal and electricity is removed Dirt device anode rapping intelligent monitoring control device.
2. the electric cleaner intelligent monitoring diagnostic control system based on GA technologies according to claim 1, its feature exists In:The electric cleaner high-voltage rectifying intelligent monitoring control device includes high-voltage rectifying main circuit and intelligent high-pressure circuit, high Pressure rectification main circuit is by ghyristor circuit, reactor circuit, Transformer Rectifier circuit and time delay relay circuit, and reactor circuit is defeated Enter end be connected with external power grid, the output end of Transformer Rectifier circuit is connected with the corona discharge electrode of electric cleaner, time delay relay circuit be after Electric protection is bypassed, and is connected with reactor circuit input and ghyristor circuit output end respectively, high-voltage rectifying intelligent pressure regulating circuit Including current transducer, electronic computer, server and electronic controller.Electronic computer is core component, its basic configuration Duo two generations double-core CPU, 4G internal memory, 500G hard drive spaces, machine embedded digital monitoring diagnosis system should be not less than.
3. the electric cleaner intelligent monitoring diagnostic control system based on GA technologies according to claim 1, its feature exists In:The electric dust-collector anode rapping intelligent monitoring control device includes dust concentration transmitter, torsion transmitter, electrometer Calculation machine, server, electronic controller, frequency conversion velocity modulation motor frequency modulation loop.
CN201710077193.4A 2017-02-09 2017-02-09 Electric cleaner intelligent monitoring diagnostic control system based on GA technologies Pending CN106861915A (en)

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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108372026A (en) * 2018-01-18 2018-08-07 上海电力学院 Magnetic field effect prediction technique in electrostatic precipitator based on BP neural network
CN109343342A (en) * 2018-11-23 2019-02-15 江苏方天电力技术有限公司 Electric precipitator energy conservation optimizing method and system based on genetic algorithm
CN111624887A (en) * 2020-06-08 2020-09-04 福建龙净环保股份有限公司 Electric dust removal control method and related device
CN116651617A (en) * 2023-05-06 2023-08-29 浙江佳环电子有限公司 Electric dust removal variable frequency amplitude modulation high-voltage power supply and high-voltage output control method thereof

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108372026A (en) * 2018-01-18 2018-08-07 上海电力学院 Magnetic field effect prediction technique in electrostatic precipitator based on BP neural network
CN109343342A (en) * 2018-11-23 2019-02-15 江苏方天电力技术有限公司 Electric precipitator energy conservation optimizing method and system based on genetic algorithm
CN111624887A (en) * 2020-06-08 2020-09-04 福建龙净环保股份有限公司 Electric dust removal control method and related device
CN116651617A (en) * 2023-05-06 2023-08-29 浙江佳环电子有限公司 Electric dust removal variable frequency amplitude modulation high-voltage power supply and high-voltage output control method thereof
CN116651617B (en) * 2023-05-06 2023-11-14 浙江佳环电子有限公司 Electric dust removal variable frequency amplitude modulation high-voltage power supply and high-voltage output control method thereof

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Application publication date: 20170620