CN204204181U - A kind of remote data acquisition system for the monitoring of Wind turbines driftage sliding bearing - Google Patents
A kind of remote data acquisition system for the monitoring of Wind turbines driftage sliding bearing Download PDFInfo
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- CN204204181U CN204204181U CN201420590787.7U CN201420590787U CN204204181U CN 204204181 U CN204204181 U CN 204204181U CN 201420590787 U CN201420590787 U CN 201420590787U CN 204204181 U CN204204181 U CN 204204181U
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Abstract
The utility model relates to a kind of remote data acquisition system for the monitoring of Wind turbines driftage sliding bearing, the Wind turbines yaw system running state data signal collected is converted to 4 ~ 20mA standard current signal by signal transmitting device by sensor, standard current signal to transfer in Multichannel data acquisition module and delivers to host computer by Modbus agreement, host computer shows at display after carrying out physical quantity conversion to the signal collected, and connect remote data transmission cells D TU by RS-232 interface, after data transmission unit DTU encapsulates the data that host computer is sent here by 3G/4G network by the real-time data transmission that collects to master-control room server, running of wind generating set slip condition database is one to one provided with in master-control room monitoring server system, complete record and the Real-Time Monitoring of data.All a set of data collector can be installed for the every typhoon group of motors in wind energy turbine set, and adopt distributed data acquisition system to carry out Real-Time Monitoring to multiple stage Wind turbines driftage sliding bearing running status.The utility model by Wind turbines yaw system running status remote data acquisition system, for implement the working state monitoring of running of wind generating set, fault analysis, Wind turbines maintenance etc. provide support.
Description
Technical field
The utility model relates to a kind of remote data acquisition system for the monitoring of Wind turbines driftage sliding bearing.
Background technology
In known technical field, the slidingtype yaw system of Wind turbines is the core component of Wind turbines, and failure rate is high.The current monitoring system of Wind turbines just achieves the monitoring of key position and signal, what require operational reliability along with the development of wind generating technology and wind energy turbine set improves constantly, wind energy turbine set is in the urgent need to increasing the monitoring to wind energy conversion system driftage plain bearing unit, because Wind turbines driftage bearing is arranged in cabin, if adopt wired mode to carry out data transmission, need to transform existing Wind turbines cable, both uneconomically also affect unit safety operation.
Utility model content
The technical problems to be solved in the utility model is: overcome the problems referred to above, there is provided a kind of remote data acquisition system for the monitoring of Wind turbines driftage sliding bearing, for wind-power electricity generation runs the wireless remote Real-Time Monitoring based on 3G/4G network that staff provides Wind turbines driftage sliding bearing real-time running state.
The utility model solves the technical scheme that its technical matters adopts: a kind of remote data acquisition system for the monitoring of Wind turbines driftage sliding bearing, comprises driftage sliding bearing service data and detects pick-up transducers, data transmitter, host computer, wireless data transmission unit and master-control room server.It is characterized in that: be arranged on each Wind turbines driftage sliding bearing service data detection pick-up transducers and the data collected are converted to 4 ~ 20mA standard current signal by signal transmitting device, standard current signal to transfer in Multichannel data acquisition module and delivers to host computer by Modbus agreement, host computer shows at display after carrying out physical quantity conversion to the current signal collected, data transmission unit DTU is connected to by RS-232 interface, described host computer is industrial control all-in-one machine, there is display device and storage hard disk, and described data transmission unit DTU the data that host computer is sent here are encapsulated after by 3G/4G network by the real-time data transmission that collects to master-control room server, running of wind generating set slip condition database is one to one provided with in described master-control room monitoring server system, realize record and the Real-Time Monitoring of data.
Further, described driftage sliding bearing service data detection pick-up transducers can be chosen according to scene needs and industry requirement.
Further, described data collector can the every typhoon group of motors in wind energy turbine set all carry out installing and carrying out data acquisition to sliding bearing running status, and described acquisition system adopts distributed data acquisition system to carry out Real-Time Monitoring to multiple stage Wind turbines driftage sliding bearing running status.
Further, described wireless data transmission unit adopts 3G data transmission terminal, adopt 3G network to be telecommunications CDMA2000 or mobile TD-SCDMA3G network and the wireless device of TCP/UDP transparent data transfer can be realized.
Further, described master-control room server sets up Wind turbines detection platform and database.
The beneficial effects of the utility model are: the utility model is by carrying out remote data acquisition to Wind turbines driftage sliding bearing running status, can the change of correlation parameter in master-control room real-time remote monitoring Wind turbines yaw system operational process, the each Wind turbines yaw system running state parameter collected is saved to database and shows by master-control room server, make master-control room staff can Real-time Obtaining each Wind turbines yaw system operation conditions, the data that database is preserved can be that failure reason analysis provides support when yaw system breaks down.Host computer in data collector is field monitoring Wind turbines yaw system running status debugging every typhoon group of motors yaw system, when safeguarding, the working state monitoring, fault analysis, maintenance etc. run for implementing Wind turbines yaw system provide support.
Accompanying drawing explanation
Below in conjunction with drawings and Examples, the utility model is further illustrated.
Fig. 1 is data acquisition system (DAS) schematic diagram of the present utility model;
Fig. 2 is distributed data acquisition system schematic diagram of the present utility model.
Embodiment
By reference to the accompanying drawings the utility model is described in further detail now.These accompanying drawings are the schematic diagram of simplification, only basic structure of the present utility model are described in a schematic way, and therefore it only shows the formation relevant with the utility model.
The preferred embodiment of a kind of remote data acquisition system for the monitoring of Wind turbines driftage sliding bearing of the utility model as shown in Figure 1, comprises driftage sliding bearing service data and detects pick-up transducers, data transmitter, host computer, wireless data transmission unit and master-control room server.Described Data Detection pick-up transducers is arranged on Real-time Collection driftage sliding bearing running state data in Wind turbines, each Wind turbines driftage sliding bearing running state data that described sensor collects is converted to 4 ~ 20mA standard current signal by transmitter, described signal transmitting device is connected with data acquisition module, described standard current signal transfers to Multichannel data acquisition module, described Multichannel data acquisition module is connected with host computer by Modbus agreement, described host computer shows at display after carrying out physical quantity conversion to the current signal collected, described host computer adopts industrial control all-in-one machine, there is display device and storage hard disk.The major function of described host computer comprises the function such as reception, realtime curve, real-time data curve display, historical data report, historical data curve display, storage of history data P of each Wind turbines yaw system service data.Described host computer is connected to wireless data transmission unit by RS-232 interface, described wireless data transmission unit adopts 3G data transmission terminal, 3G network is telecommunications CDMA2000 or mobile TD-SCDMA3G network, TCP/UDP transparent data transfer can be realized, after described wireless data transmission unit encapsulates the data that host computer sends by 3G/4G network by Wind turbines sliding bearing yaw system running state data real-time Transmission to master-control room server, Wind turbines sliding bearing yaw system operation conditions monitoring platform and database is set up at described master-control room server, be provided with in monitoring platform and every typhoon group of motors yaw system running state data storehouse one to one, realize Real-Time Monitoring and the record of yaw system running state data.
The preferred embodiment of a kind of remote data acquisition system for the monitoring of Wind turbines driftage sliding bearing of the utility model as shown in Figure 2.All a set of data collector can be installed for the every typhoon group of motors in wind energy turbine set, and adopt distributed data acquisition system to carry out Real-Time Monitoring to multiple stage Wind turbines driftage sliding bearing running status.
With above-mentioned according to desirable embodiment of the present utility model for enlightenment, by above-mentioned description, relevant staff in the scope not departing from this utility model technological thought, can carry out various change and amendment completely.The technical scope of this utility model is not limited to the content on instructions, must determine its technical scope according to right.
Claims (3)
1. the remote data acquisition system for the monitoring of Wind turbines driftage sliding bearing, comprise driftage sliding bearing operational parameter detection equipment, data processing and transmitting apparatus and master-control room server, it is characterized in that: the service data collected is delivered to Multichannel data acquisition module and delivers to host computer by Modbus agreement by the data acquisition equipment be arranged in multiple Wind turbines, host computer shows after processing the data collected on the spot, and connect wireless data transmission unit DTU by RS-232 interface, after data transmission unit DTU encapsulates data by 3G/4G network by real-time data transmission to master-control room server, running of wind generating set slip condition database is one to one provided with in described master-control room monitoring server system, realize record and the Real-Time Monitoring of data, described data transmission unit DTU adopts telecommunications CDMA2000 or mobile TD-SCDMA3G network, the wireless device of TCP/UDP transparent data transfer can be realized.
2. require described a kind of remote data acquisition system for the monitoring of Wind turbines driftage sliding bearing according to right 1, it is characterized in that: host computer master control system is the industrial control all-in-one machine with touch-screen, there is display device and storage hard disk.
3. require described a kind of remote data acquisition system for the monitoring of Wind turbines driftage sliding bearing according to right 1, it is characterized in that: data acquisition adopts distributed data acquisition system, the all independent installation data harvester of each typhoon group of motors in wind energy turbine set, every platform data collector is connected with server respectively by wireless data transmission unit DTU and is realized wireless remote data and transmits.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201420590787.7U CN204204181U (en) | 2014-10-14 | 2014-10-14 | A kind of remote data acquisition system for the monitoring of Wind turbines driftage sliding bearing |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201420590787.7U CN204204181U (en) | 2014-10-14 | 2014-10-14 | A kind of remote data acquisition system for the monitoring of Wind turbines driftage sliding bearing |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN204204181U true CN204204181U (en) | 2015-03-11 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201420590787.7U Expired - Fee Related CN204204181U (en) | 2014-10-14 | 2014-10-14 | A kind of remote data acquisition system for the monitoring of Wind turbines driftage sliding bearing |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN204204181U (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106052894A (en) * | 2016-08-15 | 2016-10-26 | 浙江江山变压器股份有限公司 | Transformer oil temperature remote monitoring device based on IOT (Internet of Things) |
| CN106706028A (en) * | 2015-11-13 | 2017-05-24 | Abb技术有限公司 | Method and system used for detecting state of motor |
| US11539317B2 (en) | 2021-04-05 | 2022-12-27 | General Electric Renovables Espana, S.L. | System and method for detecting degradation in wind turbine generator bearings |
-
2014
- 2014-10-14 CN CN201420590787.7U patent/CN204204181U/en not_active Expired - Fee Related
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106706028A (en) * | 2015-11-13 | 2017-05-24 | Abb技术有限公司 | Method and system used for detecting state of motor |
| CN106052894A (en) * | 2016-08-15 | 2016-10-26 | 浙江江山变压器股份有限公司 | Transformer oil temperature remote monitoring device based on IOT (Internet of Things) |
| US11539317B2 (en) | 2021-04-05 | 2022-12-27 | General Electric Renovables Espana, S.L. | System and method for detecting degradation in wind turbine generator bearings |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant | ||
| CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20150311 Termination date: 20151014 |
|
| EXPY | Termination of patent right or utility model |