CN105587463A - Remote monitoring method of wind power generation - Google Patents
Remote monitoring method of wind power generation Download PDFInfo
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- CN105587463A CN105587463A CN201410559283.3A CN201410559283A CN105587463A CN 105587463 A CN105587463 A CN 105587463A CN 201410559283 A CN201410559283 A CN 201410559283A CN 105587463 A CN105587463 A CN 105587463A
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
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Abstract
The invention discloses a remote monitoring method of wind power generation. The remote monitoring method comprises following steps of: 1, establishing wireless communication between a perception layer subsystem and a transmission layer subsystem and between the transmission layer subsystem and a management level subsystem via a GPRS network; 2, sensing and collecting wind turbine generator and wind power plant environment parameters by the sensing layer subsystem; 3, remotely and wirelessly transmitting signals sensed and collected on the spot by the transmission layer subsystem; 4, integrally managing and issuing signals of the sensing layer subsystem acquired by the management level subsystem; and 5, making failure diagnoses and alarming. The remote monitoring method of wind power generation has following beneficial effects: the remote monitoring method is easy and convenient at low investment cost; by adoption of Internet of Things technology, real-time acquisition and remote monitoring of multiple parameters of the wind generating set and the wind power plant are carried out; features of rapid data transmission speed, easy function expandability and great self-organization of network and self-healing performance are obtained; and problems of an existing monitoring system such as inconvenient wiring, weak remote communication capability and high running cost are effectively overcome.
Description
Technical field
The present invention relates to a kind of method for supervising, especially relate to a kind of long-distance monitoring method of wind-power electricity generation.
Background technology
Wind energy, as the reproducible clean energy resource of one, is more and more subject to the attention of countries in the world. Cut-offIn the end of the year 2008, China's accumulative total is installed more than 11600 of wind-powered electricity generation unit, the about 12.15GW of installation scale. ManyInstitute is known, and wind energy turbine set is located in an outlying district conventionally, and running environment is poor, and maintenance difficulties is large, for ensureing windElectric field stable operation, just need to have the monitoring system of perfect performance. Each large wind field monitoring system also at presentAdopt traditional wired collection and transmission. Because the monitoring of blower fan needs both-way communication, adopt just wiredMean blower fan sensor to collection center, collection center is to altogether needing four between central control roomLine. This not only wiring workload for the more wind field of blower fan increases, and the more important thing is and is subject to environmentImpact, cable is easily out of order, and manually investigates and reparation is a large problem, and this also directly causes inputThe raising of cost and operation cost, wherein the safety and stablization of communication be all each strong wind place face straightConnect challenge.
Along with the development of technology of Internet of things, it is obtaining reality aspect industrialization, informationization and automationThe application of matter. Therefore, invent a kind of based on technology of Internet of things and can carry out on the spot the prison of processing in real timeSurvey method has important Research Significance and practical value.
Summary of the invention
Technical problem to be solved by this invention is, for above-mentioned deficiency of the prior art, to provide oneThe long-distance monitoring method of planting wind-power electricity generation, can utilize microprocessor to be just located in on-site signalReason, is then sent to remote monitoring center by wireless network by result, efficiently solves existingThe problems such as monitoring system wiring inconvenience, telecommunication capabilities is weak, operation cost is high.
For solving the problems of the technologies described above, the technical solution used in the present invention is: a kind of wind-power electricity generation long-rangeMethod for supervising, is characterized in that, comprises the following steps:
Step 1, establishes a communications link: between sensing layer subsystem and transport layer subsystem and transmissionBetween straton systems and management straton system, all carry out radio communication by GPRS network, described perceptionStraton system, transport layer subsystem and management level subsystem are provided with GPRS communication module; DescribedSensing layer subsystem comprises sensor unit, analog switching circuit, signal isolation circuit, signal conditionCircuit, gain control circuit, A/D change-over circuit and 3G video camera, described analog switching circuit, letterNumber buffer circuit, signal conditioning circuit, gain control circuit and A/D change-over circuit join successively, instituteState sensor unit comprise velocity sensor, vibrating sensor, sound transducer, temperature sensor,Wind sensor, variable-frequency power sensor and respectively with variable-frequency power sensor and analog switching circuitThe secondary meter joining, the sensor all joins with analog switching circuit; Described transport layer subsystemComprise processor, video compressing module and alarm module, described video compressing module and alarm module are equalJoin with processor; Described management level subsystem comprises the communication server, data server and monitoring masterMachine, the described communication server and data server all join with monitoring host computer;
Step 2, sensing layer subsystem to wind-powered electricity generation unit parameter and wind energy turbine set ambient parameter carry out perception andGather, comprise following mode:
Velocity sensor detects in real time to rotation speed of fan;
Variable-frequency power sensor is sampled to the voltage and current of blower fan, and secondary meter is to described voltageCalculate with the sampled value of electric current, to obtain voltage effective value, current effective value, active power etc.Parameter;
Vibration Condition when vibrating sensor is worked to blower fan detects in real time;
The noise situations that sound transducer sends when blower fan is worked detects in real time;
Wind sensor detects in real time to the wind-force of wind energy turbine set;
Temperature sensor detects in real time to the environment temperature of wind energy turbine set;
3G video camera carries out video capture to running of wind generating set situation, and will take by 3G networkTo video information radio to video compressing module;
Analog switching circuit is pressed a constant switching frequency by velocity sensor, variable-frequency power sensor, vibrationThe signal that sensor, sound transducer, wind sensor and temperature sensor detect is through signal isolation electricityRoad is transferred to signal conditioning circuit;
Signal conditioning circuit by the signal receiving once amplify, linearisation and filtering passes after processingBe defeated by gain control circuit;
Gain control circuit carries out the signal receiving to be transferred to A/D change-over circuit after secondary amplification;
A/D change-over circuit converts after data signal the analog signal receiving through GPRS communication mould toPiece and GPRS network radio to described processor;
Described velocity sensor, variable-frequency power sensor, vibrating sensor, sound transducer, wind-forceSensor and temperature sensor all join with analog switching circuit;
Step 3, transport layer subsystem carries out wireless remote biography to on-the-spot perception and the signal that collectsDefeated, specifically comprise: the video information receiving is transferred to after compression described place by video compressing moduleReason device; The signal that processor transmits A/D change-over circuit and described video compress signal be encoded,After modulation, spread processing, give the described communication server through GPRS network remote transmission;
Step 4, the signal that management level subsystem obtains sensing layer subsystem carries out integrated management and sends outCloth, specifically comprises: the communication server has route, gateway and modulation /demodulation function, is responsible for described placeThe information interaction of reason device and monitoring host computer; Monitoring host computer carries out access and demonstration to the information receiving,And according to the historical data in the data of real-time perception and data server, sensing layer subsystem is sentCorresponding control command;
Step 5, fault diagnosis and warning: described processor to the received signal with corresponding signal thresholdValue compares, if arbitrary signal exceeds threshold range, drives described alarm module to send alarm signalNumber.
The long-distance monitoring method of above-mentioned a kind of wind-power electricity generation, is characterized in that: described processor is that ARM is micro-Processor.
The long-distance monitoring method of above-mentioned a kind of wind-power electricity generation, is characterized in that: in described video compressing moduleBe equipped with 3G communication module.
The long-distance monitoring method of above-mentioned a kind of wind-power electricity generation, is characterized in that: described analog switching circuitSwitching frequency is 100HZ.
The long-distance monitoring method of above-mentioned a kind of wind-power electricity generation, is characterized in that: described GPRS communication moduleFor DATA-6121 low-consumption wireless module.
The present invention compared with prior art has the following advantages: simple and convenient, input cost is low; UtilizeTechnology of Internet of things has been realized multiple parameters of wind power generating set and wind energy turbine set environment has been carried out in real timeGather and remote monitoring, have that message transmission rate is fast, an easily expansion of function, self-organization of network, self-healingThe features such as ability is strong, efficiently solve that existing monitoring system wiring inconvenience, telecommunication capabilities are weak, fortuneBattalion's high in cost of production problem.
Below by drawings and Examples, technical scheme of the present invention is described in further detail.
Brief description of the drawings
Fig. 1 is flow chart of the present invention.
Detailed description of the invention
As shown in Figure 1, the present invention includes following steps:
Step 1, establishes a communications link: between sensing layer subsystem and transport layer subsystem and transmissionBetween straton systems and management straton system, all carry out radio communication by GPRS network, described perceptionStraton system, transport layer subsystem and management level subsystem are provided with GPRS communication module; DescribedSensing layer subsystem comprises sensor unit, analog switching circuit, signal isolation circuit, signal conditionCircuit, gain control circuit, A/D change-over circuit and 3G video camera, described analog switching circuit, letterNumber buffer circuit, signal conditioning circuit, gain control circuit and A/D change-over circuit join successively, instituteState sensor unit comprise velocity sensor, vibrating sensor, sound transducer, temperature sensor,Wind sensor, variable-frequency power sensor and respectively with variable-frequency power sensor and analog switching circuitThe secondary meter joining, the sensor all joins with analog switching circuit; Described transport layer subsystemComprise processor, video compressing module and alarm module, described video compressing module and alarm module are equalJoin with processor; Described management level subsystem comprises the communication server, data server and monitoring masterMachine, the described communication server and data server all join with monitoring host computer;
Step 2, sensing layer subsystem to wind-powered electricity generation unit parameter and wind energy turbine set ambient parameter carry out perception andGather, comprise following mode:
Velocity sensor detects in real time to rotation speed of fan;
Variable-frequency power sensor is sampled to the voltage and current of blower fan, and secondary meter is to described voltageCalculate with the sampled value of electric current, to obtain voltage effective value, current effective value, active power etc.Parameter;
Vibration Condition when vibrating sensor is worked to blower fan detects in real time;
The noise situations that sound transducer sends when blower fan is worked detects in real time;
Wind sensor detects in real time to the wind-force of wind energy turbine set;
Temperature sensor detects in real time to the environment temperature of wind energy turbine set;
3G video camera carries out video capture to running of wind generating set situation, and will take by 3G networkTo video information radio to video compressing module;
Analog switching circuit is pressed a constant switching frequency by velocity sensor, variable-frequency power sensor, vibrationThe signal that sensor, sound transducer, wind sensor and temperature sensor detect is through signal isolation electricityRoad is transferred to signal conditioning circuit;
Signal conditioning circuit by the signal receiving once amplify, linearisation and filtering passes after processingBe defeated by gain control circuit;
Gain control circuit carries out the signal receiving to be transferred to A/D change-over circuit after secondary amplification;
A/D change-over circuit converts after data signal the analog signal receiving through GPRS communication mould toPiece and GPRS network radio to described processor;
Described velocity sensor, variable-frequency power sensor, vibrating sensor, sound transducer, wind-forceSensor and temperature sensor all join with analog switching circuit;
Step 3, transport layer subsystem carries out wireless remote biography to on-the-spot perception and the signal that collectsDefeated, specifically comprise: the video information receiving is transferred to after compression described place by video compressing moduleReason device; The signal that processor transmits A/D change-over circuit and described video compress signal be encoded,After modulation, spread processing, give the described communication server through GPRS network remote transmission;
Step 4, the signal that management level subsystem obtains sensing layer subsystem carries out integrated management and sends outCloth, specifically comprises: the communication server has route, gateway and modulation /demodulation function, is responsible for described placeThe information interaction of reason device and monitoring host computer; Monitoring host computer carries out access and demonstration to the information receiving,And according to the historical data in the data of real-time perception and data server, sensing layer subsystem is sentCorresponding control command;
Step 5, fault diagnosis and warning: described processor to the received signal with corresponding signal thresholdValue compares, if arbitrary signal exceeds threshold range, drives described alarm module to send alarm signalNumber.
In the present embodiment, described processor is ARM microprocessor.
In the present embodiment, described video compressing module is built-in with 3G communication module.
In the present embodiment, the switching frequency of described analog switching circuit is 100HZ.
In the present embodiment, described GPRS communication module is DATA-6121 low-consumption wireless module.
The above, be only preferred embodiment of the present invention, not the present invention imposed any restrictions, everyAny simple modification, change and the equivalent structure above embodiment done according to the technology of the present invention essenceChange, all still belong in the protection domain of technical solution of the present invention.
Claims (5)
1. a long-distance monitoring method for wind-power electricity generation, is characterized in that, comprises the following steps:
Step 1, establishes a communications link: between sensing layer subsystem and transport layer subsystem and transmissionBetween straton systems and management straton system, all carry out radio communication by GPRS network, described perceptionStraton system, transport layer subsystem and management level subsystem are provided with GPRS communication module; DescribedSensing layer subsystem comprises sensor unit, analog switching circuit, signal isolation circuit, signal conditionCircuit, gain control circuit, A/D change-over circuit and 3G video camera, described analog switching circuit, letterNumber buffer circuit, signal conditioning circuit, gain control circuit and A/D change-over circuit join successively, instituteState sensor unit comprise velocity sensor, vibrating sensor, sound transducer, temperature sensor,Wind sensor, variable-frequency power sensor and respectively with variable-frequency power sensor and analog switching circuitThe secondary meter joining, the sensor all joins with analog switching circuit; Described transport layer subsystemComprise processor, video compressing module and alarm module, described video compressing module and alarm module are equalJoin with processor; Described management level subsystem comprises the communication server, data server and monitoring masterMachine, the described communication server and data server all join with monitoring host computer;
Step 2, sensing layer subsystem to wind-powered electricity generation unit parameter and wind energy turbine set ambient parameter carry out perception andGather, comprise following mode:
Velocity sensor detects in real time to rotation speed of fan;
Variable-frequency power sensor is sampled to the voltage and current of blower fan, and secondary meter is to described voltageCalculate with the sampled value of electric current, to obtain voltage effective value, current effective value, active power etc.Parameter;
Vibration Condition when vibrating sensor is worked to blower fan detects in real time;
The noise situations that sound transducer sends when blower fan is worked detects in real time;
Wind sensor detects in real time to the wind-force of wind energy turbine set;
Temperature sensor detects in real time to the environment temperature of wind energy turbine set;
3G video camera carries out video capture to running of wind generating set situation, and will take by 3G networkTo video information radio to video compressing module;
Analog switching circuit is pressed a constant switching frequency by velocity sensor, variable-frequency power sensor, vibrationThe signal that sensor, sound transducer, wind sensor and temperature sensor detect is through signal isolation electricityRoad is transferred to signal conditioning circuit;
Signal conditioning circuit by the signal receiving once amplify, linearisation and filtering passes after processingBe defeated by gain control circuit;
Gain control circuit carries out the signal receiving to be transferred to A/D change-over circuit after secondary amplification;
A/D change-over circuit converts after data signal the analog signal receiving through GPRS communication mould toPiece and GPRS network radio to described processor;
Described velocity sensor, variable-frequency power sensor, vibrating sensor, sound transducer, wind-forceSensor and temperature sensor all join with analog switching circuit;
Step 3, transport layer subsystem carries out wireless remote biography to on-the-spot perception and the signal that collectsDefeated, specifically comprise: the video information receiving is transferred to after compression described place by video compressing moduleReason device; The signal that processor transmits A/D change-over circuit and described video compress signal be encoded,After modulation, spread processing, give the described communication server through GPRS network remote transmission;
Step 4, the signal that management level subsystem obtains sensing layer subsystem carries out integrated management and sends outCloth, specifically comprises: the communication server has route, gateway and modulation /demodulation function, is responsible for described placeThe information interaction of reason device and monitoring host computer; Monitoring host computer carries out access and demonstration to the information receiving,And according to the historical data in the data of real-time perception and data server, sensing layer subsystem is sentCorresponding control command;
Step 5, fault diagnosis and warning: described processor to the received signal with corresponding signal thresholdValue compares, if arbitrary signal exceeds threshold range, drives described alarm module to send alarm signalNumber.
2. according to the long-distance monitoring method of a kind of wind-power electricity generation claimed in claim 1, it is characterized in that:Described processor is ARM microprocessor.
3. according to the long-distance monitoring method of a kind of wind-power electricity generation described in claim 1 or 2, its featureBe: described video compressing module is built-in with 3G communication module.
4. according to the long-distance monitoring method of a kind of wind-power electricity generation described in claim 1 or 2, its featureBe: the switching frequency of described analog switching circuit is 100HZ.
5. according to the long-distance monitoring method of a kind of wind-power electricity generation described in claim 1 or 2, its featureBe: described GPRS communication module is DATA-6121 low-consumption wireless module.
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| CN201410559283.3A CN105587463A (en) | 2014-10-18 | 2014-10-18 | Remote monitoring method of wind power generation |
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| CN201410559283.3A CN105587463A (en) | 2014-10-18 | 2014-10-18 | Remote monitoring method of wind power generation |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106324324A (en) * | 2016-08-12 | 2017-01-11 | 株洲中车时代电气股份有限公司 | Method and device for calculating effective value of terminal voltage of generator |
| CN106762406A (en) * | 2017-01-24 | 2017-05-31 | 深圳企管加企业服务有限公司 | A kind of Wind turbines monitoring method and system based on Internet of Things |
| CN107613013A (en) * | 2017-09-27 | 2018-01-19 | 广州威能机电有限公司 | Intelligent power cloud system based on Internet of Things |
| CN107701371A (en) * | 2017-09-06 | 2018-02-16 | 合肥凌山新能源科技有限公司 | A kind of power-generating control system of multi fan wind power generating set |
| CN108848168A (en) * | 2018-06-21 | 2018-11-20 | 山东固源信息科技有限公司 | A kind of fan monitoring alarm system |
| CN109779845A (en) * | 2017-11-15 | 2019-05-21 | 观为监测技术无锡股份有限公司 | Wind power generating set signal acquisition circuit |
| CN111075662A (en) * | 2019-12-31 | 2020-04-28 | 国网山东省电力公司临沂供电公司 | Online monitoring system of offshore wind power generation system |
| CN111145501A (en) * | 2018-11-02 | 2020-05-12 | 上海逗闷网络科技有限公司 | Internet of things routing sharing system based on industrial equipment |
| CN111766557A (en) * | 2020-05-31 | 2020-10-13 | 宁夏隆基宁光仪表股份有限公司 | Method for analyzing influence on detection precision of electric energy meter based on K-Means algorithm |
| CN113503229A (en) * | 2021-08-02 | 2021-10-15 | 北京京能清洁能源电力股份有限公司北京分公司 | Wind power monitoring system and method |
| CN113654587A (en) * | 2021-07-02 | 2021-11-16 | 上海电机学院 | Wind-powered electricity generation field environmental data monitoring devices |
| CN118733975A (en) * | 2024-09-04 | 2024-10-01 | 山东特检科技有限公司 | Port equipment vibration signal filtering method and system |
-
2014
- 2014-10-18 CN CN201410559283.3A patent/CN105587463A/en active Pending
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106324324A (en) * | 2016-08-12 | 2017-01-11 | 株洲中车时代电气股份有限公司 | Method and device for calculating effective value of terminal voltage of generator |
| CN106762406A (en) * | 2017-01-24 | 2017-05-31 | 深圳企管加企业服务有限公司 | A kind of Wind turbines monitoring method and system based on Internet of Things |
| CN107701371A (en) * | 2017-09-06 | 2018-02-16 | 合肥凌山新能源科技有限公司 | A kind of power-generating control system of multi fan wind power generating set |
| CN107613013A (en) * | 2017-09-27 | 2018-01-19 | 广州威能机电有限公司 | Intelligent power cloud system based on Internet of Things |
| CN109779845A (en) * | 2017-11-15 | 2019-05-21 | 观为监测技术无锡股份有限公司 | Wind power generating set signal acquisition circuit |
| CN108848168A (en) * | 2018-06-21 | 2018-11-20 | 山东固源信息科技有限公司 | A kind of fan monitoring alarm system |
| CN111145501A (en) * | 2018-11-02 | 2020-05-12 | 上海逗闷网络科技有限公司 | Internet of things routing sharing system based on industrial equipment |
| CN111075662A (en) * | 2019-12-31 | 2020-04-28 | 国网山东省电力公司临沂供电公司 | Online monitoring system of offshore wind power generation system |
| CN111766557A (en) * | 2020-05-31 | 2020-10-13 | 宁夏隆基宁光仪表股份有限公司 | Method for analyzing influence on detection precision of electric energy meter based on K-Means algorithm |
| CN113654587A (en) * | 2021-07-02 | 2021-11-16 | 上海电机学院 | Wind-powered electricity generation field environmental data monitoring devices |
| CN113503229A (en) * | 2021-08-02 | 2021-10-15 | 北京京能清洁能源电力股份有限公司北京分公司 | Wind power monitoring system and method |
| CN118733975A (en) * | 2024-09-04 | 2024-10-01 | 山东特检科技有限公司 | Port equipment vibration signal filtering method and system |
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Application publication date: 20160518 |