CN202710100U - Wind generating set remote on-line health state monitoring and fault diagnosing system - Google Patents

Wind generating set remote on-line health state monitoring and fault diagnosing system Download PDF

Info

Publication number
CN202710100U
CN202710100U CN 201220162243 CN201220162243U CN202710100U CN 202710100 U CN202710100 U CN 202710100U CN 201220162243 CN201220162243 CN 201220162243 CN 201220162243 U CN201220162243 U CN 201220162243U CN 202710100 U CN202710100 U CN 202710100U
Authority
CN
China
Prior art keywords
wind generating
computer
remote
wind
signal
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN 201220162243
Other languages
Chinese (zh)
Inventor
安源胜
万辉
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
SHANGHAI TANNENG INDUSTRIAL Co Ltd
Original Assignee
SHANGHAI TANNENG INDUSTRIAL Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by SHANGHAI TANNENG INDUSTRIAL Co Ltd filed Critical SHANGHAI TANNENG INDUSTRIAL Co Ltd
Priority to CN 201220162243 priority Critical patent/CN202710100U/en
Application granted granted Critical
Publication of CN202710100U publication Critical patent/CN202710100U/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Abstract

The utility model relates to the field of wind power generation, and provides a wind generating set remote on-line health state monitoring and fault diagnosing system, characterized in that the system employs upper and lower computers and a master-slave type structure, wherein the lower computer is mainly used for performing original signal sampling on various main components of a wind generating set, transmitting signals obtained by various sensors to the upper computer after data conversion and initial processing, performing rule analysis on the generating set operation health state according to a threshold, and giving an acousto-optic alarm if discovering abnormity, and the upper computer monitors various wind generating sets in a wind field, receiving data transmitted from the lower computer and storing the data according to time in a scanning mode, fault analysis is performed in an event triggering and artificial intelligent mode, precise fault diagnosis can be performed on various wind generating sets, and the acousto-optic and character alarm operation is performed if discovering abnormity. The wind generating set remote on-line health state monitoring and fault diagnosing system can remotely monitor the work state of wind generating sets in real time, is simple in operation, and is rapid and reliable.

Description

The online health status monitoring of wind generating set remote and fault diagnosis system
Technical field
The utility model relates to wind power generation field.
Background technology
As a kind of renewable new energy technology, wind-power electricity generation obtained fast development in China in recent years, and installed capacity will reach 65GW the end of the year 2011, be in rank first.Wind power generating set is the key equipment of wind-power electricity generation; mostly be arranged on remoter open-air or marine tens meters high stands; the condition of work very severe; maintenance maintenance is very difficult; in case break down; as can not in time being processed, usually can cause very large accident, lose very huge.Therefore, in order to improve safe reliability and the utilization factor of wind power generating set operation, reduce maintenance cost, in the urgent need to developing supervisory system and the fault diagnosis system that can realize remote on-line monitoring wind power generating set running status.
Driving chain of wind generating set mainly is comprised of blade, wheel hub, main shaft, gear case, coupling mechanism and generator etc., control gear mainly is comprised of pitch-controlled system and yaw system etc., can the key that run well unit depend on whether the said equipment parts are intact, and the health status of its operation can be reflected by duty parameters such as the Vibration Condition of rotor and bearing and temperature.
The research of the running status by the vibration monitoring slewing starts from the sixties of eighties of last century, maturation also has application of result in Diagnosing System for Oil Pumps such as steam turbine, compressors relatively, and monitoring system and the fault diagnosis of wind power generating set operating condition also do not had ripe system at present.Although the wind power generating set on-line monitoring system is existing the application abroad, domestic also have several families studying, but all be that monitoring is main, less or fail to carry out the remote online fault diagnosis, and monitoring parameter is on the low side, fail wind power generating set integral body is monitored, lack the resultant fault diagnostic analysis.The Main Basis Shock Pulse Method is gone back in fault analysis judgement to bearing and gear.
The utility model content
Technical problem to be solved in the utility model is to overcome the deficiencies in the prior art, the online health status monitoring of wind generating set remote and fault diagnosis system are provided, rotating speed, temperature and Vibration Condition that can each critical piece of overall monitor wind power generating set, the deterioration degree of generation, development and the health status of timely early warning unit fault, realize unmanned, the purpose of Predictive Maintenance.
For solving the problems of the technologies described above, technical solution of the present utility model is:
The online health status monitoring of wind generating set remote and fault diagnosis system is characterized in that: various kinds of sensors is carried out the collection of following original signal to the main bearing in the wind power generating set, gear case, coupling mechanism, generator, Yawing mechanism, cabin and pylon:
(a) temperature of all bearings;
(b) cabin temperature, gear case oil temperature, generator coil and air gap temperature;
(c) speed of mainshaft and generator speed;
(d) main shaft bearing, gear case front and back end bearing and generator front and back end bearing three-way vibration;
(e) vertical vibration of gear box casing, base, Yawing mechanism, cabin and pylon;
The signal of sensor collection is nursed one's health through signal conditioner; Temperature signal after conditioning is by the collection of low-frequency data capture card and be converted to digital signal, and vibration signal and rotating speed are by the high-speed data acquisition card synchronous acquisition and be converted to digital signal, send into slave computer;
Described slave computer adopts single-chip microcomputer or industrial computer; Described host computer adopts industrial computer or server.
Described system slave computer and host computer are equipped with warning device, and as finding that Monitoring Data exceeds standard, slave computer sends warning by warning device in the mode of acousto-optic to slave computer when the data based setting threshold that gathers is carried out rule analysis; Host computer sends acousto-optic and sends warning at display simultaneously with the literal flashing mode by warning device when confirming the deterioration of unit operation health status or breaking down.
Preferably, host computer is the webserver of built-in diagnostic center, and the unit operation monitor state can carry out long-range unit fault diagnosis, but user's real time remote is checked by network configuration by described system.
The utility model can bring following beneficial effect:
The utility model passes through collection and the analyzing and processing to the critical piece signals such as main bearing, gear case, coupling mechanism, generator, Yawing mechanism, cabin and pylon of wind power generating set, adopt ANN Reasoning and Vague Diagnosis Technique, realization is to the intelligent monitoring of wind power generating set monitor state, in time find position and the development trend that unit has problems, and report to the police by acousto-optic and literal flashing mode.Thereby catastrophic failure appears in the prevention wind power generating set, ensures the unit safety even running, improves the unit operation quality.Can realize remote fault diagnosis by network configuration, and client terminal network real time inspection unit operation monitor state be can pass through, thereby the duty of remote real time monitoring wind power generating set, simple to operate, fast and reliable realized.
Description of drawings
Fig. 1: system principle schematic diagram of the present utility model;
Fig. 2: driving-chain measuring point arrangenent diagram of the present utility model;
Fig. 3: a kind of Typical Disposition figure of the present utility model.
Embodiment
Below in conjunction with drawings and Examples the utility model is described in further detail.
Referring to Fig. 1, the system of the present embodiment adopts upper and lower computer, primary and secondary structure, slave computer mainly is responsible for each critical piece of wind power generating set is carried out the original signal sampling, the signal that various kinds of sensors is obtained sends host computer to through data-switching and rough handling, health status to unit operation is carried out rule analysis according to threshold value, namely carries out sound and light alarm as finding to exceed standard; Host computer mainly is responsible for each wind power generating set in the wind field is monitored, and adopts scan mode to receive data that slave computer sends up and is stored according to the period.Event triggered and artificial intelligence pattern are adopted in fault analysis, and each wind power generating set is carried out accurate fault diagnosis, as note abnormalities and namely carry out acousto-optic and literal and report to the police.System adopts Open architecture, and the unit quantity of ipc monitor can be detected the data txt text and be deposited by user's additions and deletions, can share for the obstructed user of network.Host computer is the webserver of built-in diagnostic center, can carry out remote fault diagnosis, and client terminal can pass through network real time inspection unit operation monitor state.
In conjunction with referring to Fig. 2, the system of the present embodiment arranges sensor and image data according to mode shown in Figure 2, wherein temperature signal adopts such as PT100 and the collection of other temperature sensor, rotating speed employing photoelectric sensor SZGB-20 or Hall revolution speed transducer Ha1-12 and the collection of other sensor, and acceleration vibration transducer or the collection of other sensor are adopted in vibration.Each vibration measuring point can be 1,2 or 3 sensors.
Sensor signal is at first sent into signal conditioner and is processed, and signal conditioner can be selected PXI series or other signal conditioner of America NI.Temperature signal after conditioning is by the collection of low-frequency data capture card and be converted to digital signal, and vibration signal and rotating speed are by the high-speed data acquisition card synchronous acquisition and be converted to digital signal, send into slave computer.
Slave computer adopts industrial computer in the present embodiment, pre-installs condition detecting system software, can realize the Real-time Collection of various data, and the data based setting threshold that gathers is carried out rule analysis, the health status of monitoring wind power generating set operation.The data communication device of slave computer collection crosses optical fiber or network is uploaded to host computer.Host computer prepackage condition detecting system software and various diagnostic expert system software, can be according to the unit operation vibration parameters, in conjunction with rotating speed and temperature parameter, by expert knowledge library ANN Reasoning and fuzzy diagnosis, realize health status, trouble location and order of severity ground accurate analysis and assessment to wind power generating set.System's slave computer and host computer all have monitoring and warning function, and as finding that Monitoring Data exceeds standard, system triggers software analysis automatically, as confirming the deterioration of unit operation health status or breaking down, namely carry out the flicker of sound and light alarm and literal and report to the police.Slave computer sends warning in the mode of acousto-optic, and host computer sends warning at display simultaneously with acousto-optic and three kinds of modes of literal flicker.The in-built expert knowledge library of host computer adopts Representative Faults Diagnosis rule criterion and a large amount of fault signature frequency spectrums to make up, and in use has self-learning function, can enrich constantly, expand.Host computer triggers when data surpass setting threshold when detecting automatically by expert knowledge library ANN Reasoning and fuzzy diagnosis, also can manually diagnose.Host computer is in analyzing bearing and gear vibration process, and temperature raise significantly increases the main criterion that breaks down as bearing and gear with Oscillation Amplitude, is analyzed in conjunction with frequency spectrum and wavelet transformation, determines trouble location and the order of severity.
Referring to Fig. 3, be a kind of Typical Disposition of the present utility model, structure configuration native system Network Based, but the operation health status of remote monitoring wind power generating set, the long-range unit fault diagnosis of carrying out.System adopts exploitation formula structure, has the function of free additions and deletions monitoring unit quantity.

Claims (3)

1. the online health status monitoring of wind generating set remote and fault diagnosis system, it is characterized in that: various kinds of sensors is carried out the collection of following original signal to the main bearing in the wind power generating set, gear case, coupling mechanism, generator, Yawing mechanism, cabin and pylon:
(a) temperature of all bearings;
(b) cabin temperature, gear case oil temperature, generator coil and air gap temperature;
(c) speed of mainshaft and generator speed;
(d) main shaft bearing, gear case front and back end bearing and generator front and back end bearing three-way vibration;
(e) vertical vibration of gear box casing, base, Yawing mechanism, cabin and pylon;
The signal of described sensor collection is nursed one's health through signal conditioner; Temperature signal after conditioning is by the collection of low-frequency data capture card and be converted to digital signal, and vibration signal and rotating speed are by the high-speed data acquisition card synchronous acquisition and be converted to digital signal, send into slave computer;
Described slave computer adopts single-chip microcomputer or industrial computer; Described host computer adopts industrial computer or server.
2. according to the online health status monitoring of wind generating set remote claimed in claim 1 and fault diagnosis system, it is characterized in that: described system slave computer and host computer are equipped with warning device, as finding that Monitoring Data exceeds standard, slave computer sends warning by warning device in the mode of acousto-optic to slave computer when the data based setting threshold that gathers is carried out rule analysis; Host computer sends acousto-optic and sends warning at display simultaneously with the literal flashing mode by warning device when confirming the deterioration of unit operation health status or breaking down.
3. according to claim 1 or the online health status monitoring of 2 described wind generating set remotes and fault diagnosis system, it is characterized in that: host computer is the webserver of built-in diagnostic center, described system passes through network configuration, can carry out long-range unit fault diagnosis, but user's real time remote is checked the unit operation monitor state.
CN 201220162243 2012-04-17 2012-04-17 Wind generating set remote on-line health state monitoring and fault diagnosing system Active CN202710100U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN 201220162243 CN202710100U (en) 2012-04-17 2012-04-17 Wind generating set remote on-line health state monitoring and fault diagnosing system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN 201220162243 CN202710100U (en) 2012-04-17 2012-04-17 Wind generating set remote on-line health state monitoring and fault diagnosing system

Publications (1)

Publication Number Publication Date
CN202710100U true CN202710100U (en) 2013-01-30

Family

ID=47590391

Family Applications (1)

Application Number Title Priority Date Filing Date
CN 201220162243 Active CN202710100U (en) 2012-04-17 2012-04-17 Wind generating set remote on-line health state monitoring and fault diagnosing system

Country Status (1)

Country Link
CN (1) CN202710100U (en)

Cited By (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103200232A (en) * 2013-03-04 2013-07-10 南京三埃工控股份有限公司 Remote support system and remote support method of belt weigher
CN103234585A (en) * 2013-04-16 2013-08-07 内蒙古航天亿久科技发展有限责任公司 Online monitoring and fault diagnosis system of large wind turbine units
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
CN104792526A (en) * 2015-04-29 2015-07-22 湖南科技大学 Wind power gearbox dynamic response multi-parameter detection device
CN105787584A (en) * 2016-01-28 2016-07-20 华北电力大学(保定) Wind turbine malfunction early warning method based on cloud platform
CN106249678A (en) * 2016-08-26 2016-12-21 辽宁大唐国际新能源有限公司 A kind of wind generating set remote monitoring system acoustic-optic alarm and operational approach
CN106441966A (en) * 2016-10-11 2017-02-22 常州市华立液压润滑设备有限公司 Remote problem diagnosis system of lubricating oil station and working method
CN107345857A (en) * 2017-06-09 2017-11-14 昆明理工大学 A kind of electro spindle condition monitoring and failure diagnosis system and its monitoring, diagnosing method
CN107786033A (en) * 2016-08-25 2018-03-09 中国航空工业集团公司西安飞行自动控制研究所 A kind of electromechanical actuator of health management function
CN109163919A (en) * 2018-09-05 2019-01-08 中国科学院上海高等研究院 A kind of mechanical movement fault monitoring system, method, readable storage medium storing program for executing and terminal
WO2020134890A1 (en) * 2018-07-30 2020-07-02 杭州哲达科技股份有限公司 Vibration and temperature sensor for monitoring data of safe and healthy operation of operating and rotating device

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103200232A (en) * 2013-03-04 2013-07-10 南京三埃工控股份有限公司 Remote support system and remote support method of belt weigher
CN103200232B (en) * 2013-03-04 2015-10-28 南京三埃工控股份有限公司 Belt conveyer scale remote support system and remote supporting method
CN103234585A (en) * 2013-04-16 2013-08-07 内蒙古航天亿久科技发展有限责任公司 Online monitoring and fault diagnosis system of large wind turbine units
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
CN104792526B (en) * 2015-04-29 2018-03-20 湖南科技大学 Wind turbine gearbox dynamic response Multi-parameter detection device
CN104792526A (en) * 2015-04-29 2015-07-22 湖南科技大学 Wind power gearbox dynamic response multi-parameter detection device
CN105787584A (en) * 2016-01-28 2016-07-20 华北电力大学(保定) Wind turbine malfunction early warning method based on cloud platform
CN105787584B (en) * 2016-01-28 2020-03-10 华北电力大学(保定) Wind turbine group fault early warning method based on cloud platform
CN107786033A (en) * 2016-08-25 2018-03-09 中国航空工业集团公司西安飞行自动控制研究所 A kind of electromechanical actuator of health management function
CN106249678A (en) * 2016-08-26 2016-12-21 辽宁大唐国际新能源有限公司 A kind of wind generating set remote monitoring system acoustic-optic alarm and operational approach
CN106441966A (en) * 2016-10-11 2017-02-22 常州市华立液压润滑设备有限公司 Remote problem diagnosis system of lubricating oil station and working method
CN106441966B (en) * 2016-10-11 2018-07-17 常州市华立液压润滑设备有限公司 A kind of long-range problem diagnosis system of lubricating oil station and working method
CN107345857A (en) * 2017-06-09 2017-11-14 昆明理工大学 A kind of electro spindle condition monitoring and failure diagnosis system and its monitoring, diagnosing method
WO2020134890A1 (en) * 2018-07-30 2020-07-02 杭州哲达科技股份有限公司 Vibration and temperature sensor for monitoring data of safe and healthy operation of operating and rotating device
CN109163919A (en) * 2018-09-05 2019-01-08 中国科学院上海高等研究院 A kind of mechanical movement fault monitoring system, method, readable storage medium storing program for executing and terminal

Similar Documents

Publication Publication Date Title
CN202710100U (en) Wind generating set remote on-line health state monitoring and fault diagnosing system
CN103343728A (en) Wind generating set remote on-line multi-mode health state monitoring and fault diagnosis system
KR100954090B1 (en) Health and usage monitoring system for wind turbine
CN102620807A (en) System and method for monitoring state of wind generator
CN101825893A (en) Centralized and remote control monitoring, and fault diagnosis system of wind turbine
CN202326011U (en) State-monitoring and fault-diagnosis system of wind-power set
CN107061183A (en) A kind of automation method for diagnosing faults of offshore wind farm unit
CN201820121U (en) Centralized and remote monitoring and fault diagnosis system of wind turbine generator set
CN206056648U (en) A kind of Wind turbines dynamo bearing condition monitoring system
CN110469462B (en) Wind turbine generator system intelligent state monitoring system based on multiple templates
CN201835985U (en) Embedded monitoring instrument and wind generating set thereof
CN103512651B (en) The Wind turbines state monitoring method reported to the police based on vibration mutation and device
CN103809556A (en) Fan state monitoring system and method
CN205899369U (en) Long -range monitoring and diagnosis system of coal -fired power unit equipment
CN108331718A (en) Wind turbines yaw system monitors mechanism and fault diagnosis system and method on-line
CN202453182U (en) Fault diagnosis device of gearbox of wind generation set
CN109655106A (en) One kind being used for running device Ankang real-time monitoring system
CN110905736A (en) Fan operation monitoring system
TW201120310A (en) The state telemetry technology and fault diagnosing system in large-scale wind power farms
CN203117391U (en) Wind driven generator condition monitoring and intelligent analysis system
CN202994473U (en) Wind power generation unit vibration on-line monitoring and fault diagnosis system
CN106302567A (en) A kind of blower fan pylon remote real time monitoring system and method
CN204719531U (en) A kind of failure monitoring early warning system of Wind turbines equipment
CN111174963A (en) Device and method for monitoring stress of connecting bolt of variable-pitch bearing
CN203673317U (en) Fan condition monitoring system

Legal Events

Date Code Title Description
C14 Grant of patent or utility model
GR01 Patent grant