CN204856610U - Wind -powered electricity generation field trouble monitored control system based on PI database - Google Patents
Wind -powered electricity generation field trouble monitored control system based on PI database Download PDFInfo
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- CN204856610U CN204856610U CN201520620217.2U CN201520620217U CN204856610U CN 204856610 U CN204856610 U CN 204856610U CN 201520620217 U CN201520620217 U CN 201520620217U CN 204856610 U CN204856610 U CN 204856610U
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Abstract
The utility model provides a wind -powered electricity generation field trouble monitored control system based on PI database, including the signal acquisition module that is used for gathering the original information of equipment such as wind -powered electricity generation field gear box, generator, the signal acquisition module is connected with being used for the data transmission module with transmitting the control station behind its original signal processing who gathers to, data transmission module and control station wireless connection, be provided with the PI database server who is used for storage, analysis, management data and whether breaks down according to data diagnosis fan equipment in the control station, PI database server and the display device who shows various information in real time are connected. The utility model discloses a come storage data based on the PI database server of CS structure, one increases data space, and two improve data acquisition efficiency and reading speed, satisfies that wind -powered electricity generation field monitored control system is real -time, the requirement of high frequency, mass memory, has avoided relational database's drawback.
Description
Technical field
The utility model relates to a kind of wind energy turbine set failure monitoring system based on PI database.
Background technology
For big-and-middle-sized wind energy turbine set, blower fan quantity can reach up to a hundred, and the quantity of information that the information point of every Fans is preserved is very large, comprises various types of information such as IO, warning, event, parameter.According to statistics, the information point number of current main flow blower fan can reach up to a hundred.
Traditional wind farm monitoring system generally adopts relational database, sampling period due to wind farm monitoring system is level or Millisecond second, fault data at least requires to retain storage more than 6 months, long mass data record requires constantly to add disk array, brings the continuous increase of carrying cost.In addition, wind farm monitoring system needs for fault signature extraction, fault threshold provide data supporting than equity, the analysis of data, statistics, the efficient data access performance of management expectancy, and relational database cannot be competent at.
PI database is a set of original signal storehouse based on C/S structure and historical data base, and adopt data compression and filtering technique, greatly can save storage space, compare relational database, storing same data volume only need less than centesimal storage space.In addition, the performance of PI database in data acquisition efficiency and reading speed is very outstanding, considerably beyond relational database.According to official's data, the unit scale of counting reaches 4,000,000 points, data throughout is 400 ten thousand/second, storage capacity is ten thousand event/seconds of 10-15, data access capabilities is 1,000,000 event/seconds, the historical data of 1000 2 years to 3 years can be got in second level time, can meet completely wind farm monitoring system in real time, the requirement of high frequency, mass memory.
Summary of the invention
The utility model provides the wind energy turbine set failure monitoring system based on PI database that a kind of storage space is large, data transmission quality is high, rate of correct diagnosis is high.
The technical solution adopted in the utility model is:
A kind of wind energy turbine set failure monitoring system based on PI database, comprise the signal acquisition module of the original signal for gathering the equipment such as wind energy turbine set gear case, generator, described signal acquisition module is connected with the data transmission module being transferred to control station after the original signal process for being collected, described data transmission module is connected with control station wireless telecommunications, it is characterized in that: be provided with for storing, analyzing in described control station, management data the PI database server whether broken down according to data diagnosis Fan Equipment; Described PI database server is connected with the display device showing various information in real time.The utility model adopts the PI database server based on C/S structure to store data, one strengthens data space, two improve data acquisition efficiency and reading speed, meet wind farm monitoring system in real time, the requirement of high frequency, mass memory, avoid the drawback of relational database.
Further, described PI database server comprise store the various types of signal data that receive of control station and the data memory module of record trouble information and diagnostic message, extract from original signal signal characteristic data processing module, by export after signal characteristic and the comparison of fault signature threshold values corresponding failure signal Data Comparison module, judge that blower fan equipment is about to send when breaking down or break down early warning and the alarm module of early warning or warning message when described Data Comparison module.Described data memory module adopts C/S model; Described data processing module adopts the means such as the transform domain analysis method such as time-frequency domain conversation, wavelet analysis and digital filtering, identification, synthesis, extracts signal characteristic from original signal; Described Data Comparison module, by signal characteristic and the comparison of fault signature threshold values, if close to threshold values, then illustrates that this equipment of blower fan is about to break down or occur minor failure; If exceed threshold values, then illustrate that this equipment of blower fan breaks down; Described early warning and alarm module, when described Data Comparison module judges that blower fan equipment is about to break down or break down, send early warning or warning message, reminds staff to carry out corresponding inspection operation.
Further, described early warning and alarm module be adopt buzzing prompt tone, the mode that yellow and red led glimmers, display device bullet window or warning icon glimmer carries out early warning or warning.
Further, described PI database server also comprises the Interactive control module of the equipment control ability providing certain and provides several data transmission interface to carry out the data transmission interface of communication.Described Interactive control module can be shut down or test by opertaing device under the instruction of staff, in case of emergency also independently can control equipment according to program; The monitoring data transmission of control station is given other control stations or remote monitoring center by the mode of diskcopy, Ethernet or wireless transmission by described data transmission interface.
Further, described display device adopts the touch-screen with interactive function.
Further, described signal acquisition module comprises the multiple sensor by directly measuring or obtain after indirect inspection process original signal, and described sensor is arranged on blower fan visual plant; Described sensor comprises: for measuring the speed probe of the rotating speeds such as impeller, gear case, generator, for the vibration transducer of the radial direction and axial vibration signal of measuring blower fan tower barrel, gear case axis, bearing, gear and alternator shaft, for the temperature sensor of prototype gear case oil temperature, high-speed bearing temperature, generator-temperature detection and unit environment temperature, for the noise transducer of acoustic emission signal produced when detection of gear case axis, bearing, pinion rotation, for measuring the power sensor of the electrical quantity such as dynamo current, voltage.Original signal described in the utility model comprises tach signal, vibration signal, oil temperature, vibration noise and the electrical quantity such as electric current, voltage, is measured or is obtained after indirect inspection process respectively by the various kinds of sensors of described sensor by direct.Because the form of expression of fault signature under different rotating speeds, amplitude are variant, the tach signal obtained can be used as the important referential data of fault diagnosis; Vibration signal is the analytic signal that current fault diagnosis uses at most, technology is more ripe; Vibration noise
A kind of emerging fault detect means; The electrical quantity such as electric current, voltage is also the important means of tracing trouble.
Adopt multiple sensors to measure dissimilar data, comprehensive diagnos fault, verifies mutually, and diagnosis has higher success rate.
Further, described vibration transducer selects speed pickup and acceleration transducer.
Further, the DSP that the total tune that described data transmission module comprises responsible blower fan signals collecting controls, the input end of described DSP is connected with in turn the original signal collected is converted into digital signal A/D converter, be used for adapter circuit that the described original signal collected is processed; Output terminal on described DSP is connected with in turn and sends to the wireless sending module of control station, control station to be received the wireless receiving module of various types of signal from blower fan by wireless transmission protocol from blower fan various types of signal by wireless transmission protocol, and described wireless receiving module is arranged in control station.The data acquisition of every Fans is managed by a DSP, is sent to control station by the mode of wireless transmission, solve unit more time adopt wire communication cannot ensure the problem of data transmission quality.
Further, described wireless sending module and described wireless receiving module all adopt IEEE802.16d wireless transmission protocol.
The beneficial effect that the utility model reaches is: (1) adopts multiple sensors to measure dissimilar data, and comprehensive diagnos fault, verifies mutually, and diagnosis has higher success rate; (2) data acquisition of every Fans manage by a DSP, is sent to control station by the mode of wireless transmission, solve unit more time employing wire communication cannot ensure the problem of data transmission quality; (3) adopt PI data base administration, storage, analysis data, meet wind farm monitoring system in real time, the requirement of high frequency, mass memory, avoid the drawback of relational database.
Accompanying drawing explanation
Fig. 1 is structural representation of the present utility model.
Embodiment
Below in conjunction with specific embodiment, the utility model is further described, but the utility model is not confined to these embodiments.One skilled in the art would recognize that the utility model covers all alternativess, improvement project and the equivalents that may comprise in Claims scope.
With reference to Fig. 1, a kind of wind energy turbine set failure monitoring system based on PI database, comprise the signal acquisition module 1 of the original signal for gathering the equipment such as wind energy turbine set gear case, generator, described signal acquisition module 1 is connected with the data transmission module 2 being transferred to control station after the original signal process for being collected, described data transmission module 2 is connected with control station wireless telecommunications, is provided with for storing, analyzing, management data the PI database server 3 whether broken down according to data diagnosis Fan Equipment in described control station; Described PI database server 3 is connected with the display device 4 showing various information in real time.The utility model adopts the PI database server 3 based on C/S structure to store data, one strengthens data space, two improve data acquisition efficiency and reading speed, meet wind farm monitoring system in real time, the requirement of high frequency, mass memory, avoid the drawback of relational database.
PI database server 3 described in the present embodiment comprises and stores the various types of signal data that receive of control station and the data memory module 3-1 of record trouble information and diagnostic message, the data processing module 3-2 of signal characteristic is extracted from original signal, the Data Comparison module 3-3 of corresponding failure signal will be exported after signal characteristic and the comparison of fault signature threshold values, when described Data Comparison module 3-3 judges that blower fan equipment is about to send when breaking down or break down early warning and the alarm module 3-4 of early warning or warning message.Described data memory module 3-1 adopts C/S model; Described data processing module 3-2 adopts the means such as the transform domain analysis method such as time-frequency domain conversation, wavelet analysis and digital filtering, identification, synthesis, extracts signal characteristic from original signal; Described Data Comparison module 3-3, by signal characteristic and the comparison of fault signature threshold values, if close to threshold values, then illustrates that this equipment of blower fan is about to break down or occur minor failure; If exceed threshold values, then illustrate that this equipment of blower fan breaks down; Described early warning and alarm module 3-4, when described Data Comparison module judges that blower fan equipment is about to break down or break down, send early warning or warning message, reminds staff to carry out corresponding inspection operation.
Early warning described in the present embodiment and alarm module 3-4 be adopt buzzing prompt tone, the mode that yellow and red led glimmers, display device bullet window or warning icon glimmer carries out early warning or warning.
The Interactive control module 3-5 that PI database server 3 described in the present embodiment also comprises the equipment control ability the providing certain and data transmission interface 3-6 providing several data transmission interface to carry out communication.Described Interactive control module 3-5 can shut down or test by opertaing device under the instruction of staff, in case of emergency also independently can control equipment according to program; The monitoring data transmission of control station is given other control stations or remote monitoring center by the mode of diskcopy, Ethernet or wireless transmission by described data transmission interface 3-6.
Display device 4 described in the present embodiment adopts the touch-screen with interactive function.
Signal acquisition module 1 described in the present embodiment comprises the multiple sensor 1-1 by directly measuring or obtain after indirect inspection process original signal 1-2, and described sensor 1-1 is arranged on blower fan visual plant, described sensor 1-1 comprises: for measuring impeller, gear case, the speed probe 1-1-1 of the rotating speeds such as generator, for measuring blower fan tower barrel, gear case axis, bearing, the radial direction of gear and alternator shaft and the vibration transducer 1-1-2 of axial vibration signal, for prototype gear case oil temperature, high-speed bearing temperature, the temperature sensor 1-1-3 of generator-temperature detection and unit environment temperature, for detection of gear case axis, bearing, the noise transducer 1-1-4 of the acoustic emission signal produced during pinion rotation, for measuring dynamo current, the power sensor 1-1-5 of the electrical quantitys such as voltage.Original signal 1-2 described in the utility model comprises tach signal 1-2-1, vibration signal 1-2-2, oil temperature 1-2-3, vibration noise 1-2-4 and the electrical quantity such as electric current, voltage 1-2-5, is measured or is obtained after indirect inspection process respectively by the various kinds of sensors of described sensor 1-1 by direct.Because the form of expression of fault signature under different rotating speeds, amplitude are variant, the tach signal 1-2-1 obtained can be used as the important referential data of fault diagnosis; Vibration signal 1-2-2 is the analytic signal that current fault diagnosis uses at most, technology is more ripe; Vibration noise 1-2-4 is a kind of emerging fault detect means; The electrical quantity such as electric current, voltage is also the important means of tracing trouble.Adopt multiple sensors 1-1 to measure dissimilar data, comprehensive diagnos fault, verifies mutually, and diagnosis has higher success rate.
Described in the present embodiment, vibration transducer 1-1-2 selects speed pickup and acceleration transducer.
The DSP2-3 that the total tune that data transmission module 2 described in the present embodiment comprises responsible blower fan signals collecting controls, the input end of described DSP2-3 is connected with the A/D converter 2-2 original signal 1-2 collected being converted into digital signal, the adapter circuit 2-1 being used for the described original signal 1-2 process collected in turn; Output terminal on described DSP2-3 is connected with in turn and sends to the wireless sending module 2-4 of control station, control station to be received the wireless receiving module 2-5 of various types of signal from blower fan by wireless transmission protocol from blower fan various types of signal by wireless transmission protocol, and described wireless receiving module 2-5 is arranged in control station.The data acquisition of every Fans is managed by a DSP2-3, is sent to control station by the mode of wireless transmission, solve unit more time adopt wire communication cannot ensure the problem of data transmission quality.
Wireless sending module 2-4 described in the present embodiment and described wireless receiving module 2-5 all adopts IEEE802.16d wireless transmission protocol.
Signal acquisition module 1 of the present utility model, for gathering the real time data of the equipment such as wind energy turbine set gear case, generator, is the raw data of fault diagnosis; Data transmission module 2, for the raw data that signal acquisition module collected after the process such as amplification, filtering, is converted into digital quantity by analog quantity, through wireless network protocol from fan delivery to control station; PI database server 3, for storage, analysis, management data, extract the fault signature of Fan Equipment, with fault threshold comparison, judge whether Fan Equipment is about to break down or break down, send early warning or warning after finding fault omen or fault, and cooperating personnel carry out the Interactive control such as maintenance shut-downs to blower fan, with data transmission interface, give other control stations or remote monitoring center by wired or wireless mode by data sharing; Display device 4, adopt touch-screen, there is interactive function, for the display of real-time monitoring data, failure message, early warning or warning message, there is provided the function such as the inquiry of historical data, equipment state display, display mode comprises curve map, form, pie chart, post figure etc.
Claims (9)
1. the wind energy turbine set failure monitoring system based on PI database, comprise the signal acquisition module of the original signal for gathering the equipment such as wind energy turbine set gear case, generator, described signal acquisition module is connected with the data transmission module being transferred to control station after the original signal process for being collected, described data transmission module is connected with control station wireless telecommunications, it is characterized in that: be provided with for storing, analyzing in described control station, management data the PI database server whether broken down according to data diagnosis Fan Equipment; Described PI database server is connected with the display device showing various information in real time.
2. a kind of wind energy turbine set failure monitoring system based on PI database as claimed in claim 1, it is characterized in that: described PI database server comprises and stores the various types of signal data that receive of control station and the data memory module of record trouble information and diagnostic message, the data processing module of signal characteristic is extracted from original signal, the Data Comparison module of corresponding failure signal will be exported after signal characteristic and the comparison of fault signature threshold values, when described Data Comparison module judges that blower fan equipment is about to send when breaking down or break down early warning and the alarm module of early warning or warning message.
3. a kind of wind energy turbine set failure monitoring system based on PI database as claimed in claim 2, is characterized in that: described early warning and alarm module be adopt buzzing prompt tone, the mode that yellow and red led glimmers, display device bullet window or warning icon glimmer carries out early warning or warning.
4. a kind of wind energy turbine set failure monitoring system based on PI database as claimed in claim 2, is characterized in that: described PI database server also comprises the Interactive control module of the equipment control ability providing certain and provides several data transmission interface to carry out the data transmission interface of communication.
5. a kind of wind energy turbine set failure monitoring system based on PI database as claimed in claim 1, is characterized in that: described display device adopts the touch-screen with interactive function.
6. a kind of wind energy turbine set failure monitoring system based on PI database as claimed in claim 1, it is characterized in that: described signal acquisition module comprises the multiple sensor by directly measuring or obtain after indirect inspection process original signal, and described sensor is arranged on blower fan visual plant; Described sensor comprises: for measuring the speed probe of the rotating speeds such as impeller, gear case, generator, for the vibration transducer of the radial direction and axial vibration signal of measuring blower fan tower barrel, gear case axis, bearing, gear and alternator shaft, for the temperature sensor of prototype gear case oil temperature, high-speed bearing temperature, generator-temperature detection and unit environment temperature, for the noise transducer of acoustic emission signal produced when detection of gear case axis, bearing, pinion rotation, for measuring the power sensor of the electrical quantity such as dynamo current, voltage.
7. a kind of wind energy turbine set failure monitoring system based on PI database as claimed in claim 6, is characterized in that: described vibration transducer selects speed pickup and acceleration transducer.
8. a kind of wind energy turbine set failure monitoring system based on PI database as claimed in claim 1, it is characterized in that: the DSP that the total tune that described data transmission module comprises responsible blower fan signals collecting controls, the input end of described DSP is connected with in turn the original signal collected is converted into digital signal A/D converter, be used for adapter circuit that the described original signal collected is processed; Output terminal on described DSP is connected with in turn and sends to the wireless sending module of control station, control station to be received the wireless receiving module of various types of signal from blower fan by wireless transmission protocol from blower fan various types of signal by wireless transmission protocol, and described wireless receiving module is arranged in control station.
9. a kind of wind energy turbine set failure monitoring system based on PI database as claimed in claim 8, is characterized in that: described wireless sending module and described wireless receiving module all adopt IEEE802.16d wireless transmission protocol.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN105573230A (en) * | 2016-01-05 | 2016-05-11 | 杭州恒朴电子科技有限公司 | IT monitoring system |
| CN107884713A (en) * | 2017-10-21 | 2018-04-06 | 湖南福湘发电设备有限公司 | A kind of generator failure detector |
| CN108020785A (en) * | 2017-12-14 | 2018-05-11 | 海安常州大学高新技术研发中心 | A kind of electrical fault forecasting system and data managing method based on micromainframe |
| CN108196188A (en) * | 2018-01-31 | 2018-06-22 | 南京拓控信息科技股份有限公司 | A kind of motor shaft breaks automatic alarming protection system and detection method |
| CN108953073A (en) * | 2018-08-07 | 2018-12-07 | 绵阳鼎飞益电子科技有限公司 | Running status of wind generator monitoring method |
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| CN105573230A (en) * | 2016-01-05 | 2016-05-11 | 杭州恒朴电子科技有限公司 | IT monitoring system |
| CN105573230B (en) * | 2016-01-05 | 2018-07-20 | 杭州恒朴电子科技有限公司 | A kind of IT monitoring systems |
| CN107884713A (en) * | 2017-10-21 | 2018-04-06 | 湖南福湘发电设备有限公司 | A kind of generator failure detector |
| CN108020785A (en) * | 2017-12-14 | 2018-05-11 | 海安常州大学高新技术研发中心 | A kind of electrical fault forecasting system and data managing method based on micromainframe |
| CN108196188A (en) * | 2018-01-31 | 2018-06-22 | 南京拓控信息科技股份有限公司 | A kind of motor shaft breaks automatic alarming protection system and detection method |
| CN108953073A (en) * | 2018-08-07 | 2018-12-07 | 绵阳鼎飞益电子科技有限公司 | Running status of wind generator monitoring method |
| CN109630449A (en) * | 2018-11-30 | 2019-04-16 | 冶金自动化研究设计院 | A kind of three proofings ventilation equipment failure prediction system based on RBF algorithm |
| CN109630449B (en) * | 2018-11-30 | 2020-10-27 | 冶金自动化研究设计院 | Three-proofing ventilation equipment fault prediction system based on RBF algorithm |
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