CN205540141U - Wind -powered electricity generation field intelligent management system based on internet of things - Google Patents

Wind -powered electricity generation field intelligent management system based on internet of things Download PDF

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Publication number
CN205540141U
CN205540141U CN201620318350.7U CN201620318350U CN205540141U CN 205540141 U CN205540141 U CN 205540141U CN 201620318350 U CN201620318350 U CN 201620318350U CN 205540141 U CN205540141 U CN 205540141U
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China
Prior art keywords
module
data
internet
things
management system
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Expired - Fee Related
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CN201620318350.7U
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Chinese (zh)
Inventor
张宇豪
周松
杨民杰
唐权
刘名乐
邓月明
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Hunan Normal University
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Hunan Normal University
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Abstract

The utility model relates to a wind -powered electricity generation field intelligent management system based on internet of things, including data acquisition part, data processing part branch, detection portion, theftproof early warning part, I2C bus transfer unit branch, the next machine part, bluetooth module, data center and host computer part. The data acquisition part is including interconnect's environment data acquisition module, generating set operating condition monitoring module and unit theftproof early warning module, generating set operating condition monitoring module divides with data processing part and is connected. Data processing part divides micro -processing system, data center treater, data service ware and WEB server including connecting gradually, micro -processing system is connected with data acquisition subtotal detection portion respectively, the WEB server is connected with detection portion. Detection portion includes the PC end, removes end APP and LCD display screen. The utility model discloses, radio communication, stability is good, the accuracy is high.

Description

A kind of wind energy turbine set intelligent management system based on technology of Internet of things
Technical field
This utility model belongs to Wind turbines device management techniques field, relates to a kind of wind energy turbine set intelligent management system based on technology of Internet of things.
Background technology
Wind energy is the reproducible energy of a kind of cleaning, wind generating technology the most comparative maturity.A wind energy turbine set has tens to hundreds of wind power generating set, the most numerous Wind turbines are managed collectively, wind power plant environment parameter is monitored in real time so that the safe, reliable, efficient operation of wind energy turbine set becomes most important.
Owing to the geographical expanses of wind energy turbine set is wide, environmental condition is complicated, and equipment is huge and is distributed scattered, and long-range unified monitoring is caused adverse effect, therefore, how to utilize effective means to coordinate the unified management of wind energy turbine set backstage and on-the-spot Precision management becomes for stubborn problem.
Existing wind-powered electricity generation course management system, including following several:
Semi-automatic wind-powered electricity generation course management system: having a small amount of sensing equipment, need the mode of manual work to read, difficulty is big, efficiency is low;
The wind-powered electricity generation course management system of automatization: be mounted with multiple sensors, has ratio more comprehensively monitoring to equipment situation, and every machine is assembled with display floater, but lacks anti-theft module, also lacks the function that short-range wireless receives the unified monitoring of data and far-end.
Traditional Semi-automatic wind electric field way to manage, no better than labor management, maintenance difficulty is big, management cycle length, consume more manpower and materials.
Existing automatic monitoring mode, such as patent No. CN204612765U, the most substantially possessed the feature of parameter acquisition and monitoring, but it remains in the management to single Wind turbines, need to rely on manpower to collect data, can not accomplish remotely to manage, it is also difficult to set up long-term data base to reach the effect of statistic op-timization.
Utility model content
The purpose of this utility model is to provide a kind of wind energy turbine set intelligent management system based on technology of Internet of things, solves wind-powered electricity generation course management system present in prior art and cannot set up long term data storehouse and the problem remotely managed.
This utility model be employed technical scheme comprise that, a kind of wind energy turbine set intelligent management system based on technology of Internet of things, including part of data acquisition, data processing section, monitoring part, anti-theft early-warning part, I2C bus transfer part, slave computer part, bluetooth module, data center and epigynous computer section, described part of data acquisition is connected with data processing section, described data processing section is connected with monitoring part with data center, described slave computer part is connected with part of data acquisition by I2C bus transfer part, described slave computer part is by bluetooth module with test section split-phase even, described slave computer part is also connected with anti-theft early-warning part, described epigynous computer section is with test section split-phase even.
Of the present utility model it is further characterized in that,
Described part of data acquisition includes that interconnective environmental data collecting module, generating set working state monitoring module and unit anti-theft early-warning module, described generating set working state monitoring module are connected with data processing section.
Environmental data collecting module includes Temperature Humidity Sensor, baroceptor, air velocity transducer, wind transducer and three-axis gyroscope.
Generating set working state monitoring module includes low-speed sensor, height sensors, bearing temperature sensor, generator coil temperature sensor, driftage enumerator, hydraulic system sensor, vibrating sensor and temperature sensor.
Unit anti-theft early-warning module includes infrared sensor, light sensor and audible-visual annunciator.
Data processing section includes microprocessing systems, DCP date central processor, data server and the WEB server being sequentially connected with, and described microprocessing systems is connected with part of data acquisition and monitoring part respectively, and described WEB server is connected with monitoring part.
Microprocessor system includes that optional STM32 microprocessor, power module, LCD liquid crystal display screen, key-press module, level switch module, RS232 turn serial port module and BLE4.0 module.
Monitoring part includes PC end, mobile terminal APP and LCD display, and described PC end is connected with WEB server, and described mobile terminal APP and LCD display are connected with data processing section.
The beneficial effects of the utility model are, radio communication, good stability, accuracy are high, can monitor duty and the environmental data of Wind turbines at any time, can carry out alarming for help under emergency case;Monitor portion combines local side, mobile terminal and remote port, it is achieved multiple spot is monitored;This utility model key point and protection point are as follows: the intelligent alarm of part of data acquisition and multiple sensors realize data communication with microprocessor system, it is achieved long-range, local, mobile terminal multi-point monitoring, set up data base such that it is able to carry out status predication function.
Accompanying drawing explanation
Fig. 1 is the structure chart of a kind of wind energy turbine set intelligent management system based on technology of Internet of things of this utility model;
Fig. 2 is the function structure chart of a kind of wind energy turbine set intelligent management system based on technology of Internet of things of this utility model;
Fig. 3 is the environmental data collecting function structure chart of a kind of wind energy turbine set intelligent management system based on technology of Internet of things of this utility model;
Fig. 4 is the generating set working state monitoring function structure chart of a kind of wind energy turbine set intelligent management system based on technology of Internet of things of this utility model;
Fig. 5 is the unit anti-theft early-warning function structure chart of a kind of wind energy turbine set intelligent management system based on technology of Internet of things of this utility model.
In figure, 1. part of data acquisition,
11. environmental data collecting modules,
1101. Temperature Humidity Sensors, 1102. baroceptors, 1103. air velocity transducers, 1104. wind transducers, 1105, three-axis gyroscope,
12. generating set working state monitoring modules,
1201. low-speed sensors, 1202. height sensors, 1203. bearing temperature sensors, 1204. generator coil temperature sensors, 1205. driftage enumerators, 1206. hydraulic system sensors, 1207. vibrating sensors, 1208. temperature sensors,
13. unit anti-theft early-warning modules,
1301. infrared sensors, 1302. light sensors, 1303. audible-visual annunciators
2. data processing section,
21. microprocessing systems, 22. DCP date central processors, 23. data servers, 24.WEB server,
3. monitoring part,
31.PC end, 32. mobile terminal APP, 33.LCD display screen,
4. anti-theft early-warning part, 5.I2C bus transfer part, 6. slave computer part, 7. bluetooth module, 8. data center, 9. epigynous computer section.
Detailed description of the invention
With detailed description of the invention, this utility model is described in detail below in conjunction with the accompanying drawings.
A kind of wind energy turbine set intelligent management system based on technology of Internet of things of this utility model, structure such as Fig. 1, Fig. 2, shown in Fig. 3 and Fig. 4, including part of data acquisition 1, data processing section 2, monitoring part 3, anti-theft early-warning part 4, I2C bus transfer part 5, slave computer part 6, bluetooth module 7, data center 8 and epigynous computer section 9, described part of data acquisition 1 is connected with data processing section 2, described data processing section 2 is connected with monitoring part 3 with data center 8, described slave computer part 6 is connected with part of data acquisition 1 by I2C bus transfer part 5, described slave computer part 6 is connected with detection part 3 by bluetooth module 7, described slave computer part 6 is also connected with anti-theft early-warning part 4, described epigynous computer section 9 is connected with detection part 3.
Part of data acquisition 1 includes that interconnective environmental data collecting module 11, generating set working state monitoring module 12 and unit anti-theft early-warning module 13, described generating set working state monitoring module 12 are connected with data processing section 2.
Environmental data collecting module 11 includes Temperature Humidity Sensor 1101, baroceptor 1102, air velocity transducer 1103, wind transducer 1104 and three-axis gyroscope 1105.
Generating set working state monitoring module 12 includes low-speed sensor 1201, height sensors 1202, bearing temperature sensor 1203, generator coil temperature sensor 1204, driftage enumerator 1205, hydraulic system sensor 1206, vibrating sensor 1207 and temperature sensor 1208.
Unit anti-theft early-warning module 13 includes infrared sensor 1301, light sensor 1302 and audible-visual annunciator 1303.
Data processing section 2 includes microprocessing systems 21, DCP date central processor 22, data server 23 and the WEB server 24 being sequentially connected with, described microprocessing systems 21 is connected with part of data acquisition 1 and monitoring part 3 respectively, and described WEB server 24 is connected with monitoring part 3.
Microprocessor system 21 includes that optional STM32 microprocessor, power module, LCD liquid crystal display screen, key-press module, level switch module, RS232 turn serial port module and BLE4.0 module.
Monitoring part 3 includes that PC end 31, mobile terminal APP32 and LCD display 33, described PC end 31 are connected with WEB server 24, and described mobile terminal APP32 and LCD display 33 are connected with data processing section 2.
A kind of wind energy turbine set intelligent management system based on technology of Internet of things of this utility model, the environmental data collecting module 11 in part of data acquisition 1 measures collection to data such as the humiture of surrounding enviroment, air pressure, wind speed and directions in Wind turbines;Generating set working state monitoring module 12 to Wind turbines inside various piece, including and be not limited to the data such as bearing temperature, yaw angle, shockproofness, generating speed and be acquired and measure;Bright-dark degree within Wind turbines, infrared intensity are acquired, measure by unit anti-theft early-warning module 13, can send alarm at once when the situations such as shell breakage occur.
A kind of wind energy turbine set intelligent management system based on technology of Internet of things of this utility model, part of data acquisition is transmitted all data come and carries out pretreatment by the microprocessing systems 21 in data processing section 2, by ambient parameter, the conclusion that the data such as duty or branch office's data draw shows on LCD liquid crystal display screen, microprocessing systems 21 will be sent to data server 23 with the data processed, all data are received and stored by data center server, related data in DCP date central processor 22 called data server 23, carry out advanced treating, can also be by methods such as modeling analysis, each Parameter Variation is summed up according to after the data stream of certain time span is analyzed;WEB server 24 transfers each item data after advanced treating, forms document and chart, and the epigynous computer section 9 for PC end 31 accesses, and calls.Microprocessing systems 21 is mainly turned serial port module etc. by microprocessor (such as STM32, ARM CORTEX-M3), LCD LCD MODULE, Bluetooth communication modules (based on BLE4.0), Keysheet module, power module, RS232.By IIC agreement, form master slave system and carry out data transmission.STM32 is main frame, and each sensor is from machine, makes the signal of each sensor unit of reception.By controlling LCD Liquid Crystal Module and Keysheet module, each item data is shown on liquid crystal by microprocessor, it is possible to switched over interface by button, with serial ports as data transfer mode;By utilizing RS232 to turn serial port module, microprocessor by wind speed wind direction sensor and other need the data using the sensor unit of RS232 interface to receive with the form of serial ports;Connect bluetooth module by serial ports, utilize DMA transfer mode, the data pretreated through microprocessor and content are sent to Bluetooth transmission end, utilize BLE4.0 technology to make the mobile terminal APP31 near Wind turbines receive and show.
Native system have employed three kinds of servers, respectively data center server, data server, WEB server.The data center server data by mode collects each Wind turbines microprocessor system such as CAN or Internet be direct-connected, collect.Data server is analyzed for the data of data center server and screens, and is committed to WEB server.WEB server accesses for PC end, uses B/S framework to realize the general control function of host computer.
A kind of wind energy turbine set intelligent management system based on technology of Internet of things of this utility model, monitoring part 3 includes:
Remotely monitoring: utilize server zone, PC end 31 epigynous computer section 9 to be positioned over the long-range Master Control Room of principle Wind turbines.All of Wind turbines state can be monitored by epigynous computer section 9 by accessing data base, can be to the microprocessor system transmitting control commands of a certain single Wind turbines, it is also possible to issuable situation is judged by the forecast function of called data server.
Short range monitors: utilize microprocessor system and bluetooth module 7, and patrol officer can utilize Bluetooth function to pass through mobile terminal APP31 in the case of not against browser and obtain each item data of periphery Wind turbines.
On-site supervision: utilize microprocessor system, LCD display 33 to be placed in the lower end of Wind turbines, facilitate personnel maintenance time directly scene check each item data.

Claims (8)

  1. null1. a wind energy turbine set intelligent management system based on technology of Internet of things,It is characterized in that,Including part of data acquisition (1)、Data processing section (2)、Monitoring part (3)、Anti-theft early-warning part (4)、I2C bus transfer part (5)、Slave computer part (6)、Bluetooth module (7)、Data center (8) and epigynous computer section (9),Described part of data acquisition (1) is connected with data processing section (2),Described data processing section (2) is connected with monitoring part (3) with data center (8),Described slave computer part (6) is connected with part of data acquisition (1) by I2C bus transfer part (5),Described slave computer part (6) is connected with detection part (3) by bluetooth module (7),Described slave computer part (6) is also connected with anti-theft early-warning part (4),Described epigynous computer section (9) is connected with detection part (3).
  2. A kind of wind energy turbine set intelligent management system based on technology of Internet of things the most according to claim 1, it is characterized in that, described part of data acquisition (1) includes that interconnective environmental data collecting module (11), generating set working state monitoring module (12) and unit anti-theft early-warning module (13), described generating set working state monitoring module (12) are connected with data processing section (2).
  3. A kind of wind energy turbine set intelligent management system based on technology of Internet of things the most according to claim 2, it is characterized in that, described environmental data collecting module (11) includes Temperature Humidity Sensor (1101), baroceptor (1102), air velocity transducer (1103), wind transducer (1104) and three-axis gyroscope (1105).
  4. A kind of wind energy turbine set intelligent management system based on technology of Internet of things the most according to claim 2, it is characterized in that, described generating set working state monitoring module (12) includes low-speed sensor (1201), height sensors (1202), bearing temperature sensor (1203), generator coil temperature sensor (1204), driftage enumerator (1205), hydraulic system sensor (1206), vibrating sensor (1207) and temperature sensor (1208).
  5. A kind of wind energy turbine set intelligent management system based on technology of Internet of things the most according to claim 2, it is characterized in that, described unit anti-theft early-warning module (13) includes infrared sensor (1301), light sensor (1302) and audible-visual annunciator (1303).
  6. A kind of wind energy turbine set intelligent management system based on technology of Internet of things the most according to claim 1, it is characterized in that, described data processing section (2) includes microprocessor system (21), DCP date central processor (22), data server (23) and the WEB server (24) being sequentially connected with, described microprocessor system (21) is connected with part of data acquisition (1) and monitoring part (3) respectively, and described WEB server (24) is connected with monitoring part (3).
  7. A kind of wind energy turbine set intelligent management system based on technology of Internet of things the most according to claim 6, it is characterized in that, described microprocessor system (21) includes that optional STM32 microprocessor, power module, LCD liquid crystal display screen, key-press module, level switch module, RS232 turn serial port module and BLE4.0 module.
  8. A kind of wind energy turbine set intelligent management system based on technology of Internet of things the most according to claim 1, it is characterized in that, described monitoring part (3) includes PC end (31), mobile terminal APP (32) and LCD display (33), described PC end (31) is connected with WEB server (24), and described mobile terminal APP (32) and LCD display (33) are connected with data processing section (2).
CN201620318350.7U 2016-04-15 2016-04-15 Wind -powered electricity generation field intelligent management system based on internet of things Expired - Fee Related CN205540141U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201620318350.7U CN205540141U (en) 2016-04-15 2016-04-15 Wind -powered electricity generation field intelligent management system based on internet of things

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201620318350.7U CN205540141U (en) 2016-04-15 2016-04-15 Wind -powered electricity generation field intelligent management system based on internet of things

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109947810A (en) * 2017-11-16 2019-06-28 上海明匠智能系统有限公司 Industrial equipment data real-time collecting system
CN112682268A (en) * 2020-12-07 2021-04-20 国投云南风电有限公司 Safety monitoring system for wind power plant management

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109947810A (en) * 2017-11-16 2019-06-28 上海明匠智能系统有限公司 Industrial equipment data real-time collecting system
CN112682268A (en) * 2020-12-07 2021-04-20 国投云南风电有限公司 Safety monitoring system for wind power plant management

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CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20160831

Termination date: 20170415

CF01 Termination of patent right due to non-payment of annual fee