CN202614273U - Thermal power plant sensor fault diagnosis device - Google Patents
Thermal power plant sensor fault diagnosis device Download PDFInfo
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- CN202614273U CN202614273U CN 201220248198 CN201220248198U CN202614273U CN 202614273 U CN202614273 U CN 202614273U CN 201220248198 CN201220248198 CN 201220248198 CN 201220248198 U CN201220248198 U CN 201220248198U CN 202614273 U CN202614273 U CN 202614273U
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Abstract
The utility model discloses a thermal power plant sensor fault diagnosis device comprising a voltage sensor, a current sensor, a temperature sensor, a flow sensor, a liquid level sensor, a valve level sensor, a gateway, a FPGA, a server provided with a data acquisition software, a fault detection module, and a fault identification module. The thermal power plant sensor fault diagnosis device has advantages of simple structure, low costs, wide application range, strong pertinency, and abilities of diagnosing and analyzing the pressure, the temperature, the flow, the liquid level, the valve level data, and diagnosing faults of various sensors of the thermal power plant accurately based on the simple calculation.
Description
Technical field
The utility model relates to a kind of diagnostic device, relates in particular to a kind of thermal power plant sensor malfunction diagnostic device.
Background technology
Along with the development of thermal power plant's supervisory information system, the accuracy, the reliability requirement that bottom are carried out the sensor of surveying work also progressively improve.In thermal power plant's production run, a plurality of physical quantitys such as pressure, temperature, flow, liquid level, valve position etc. all need rely on sensor to come image data, because the measurement instrument of power plant often is operated under the rugged environments such as high temperature, vibrations, corrosion, break down easily.Thermal power plant's supervisory systems at different levels are core with data; The calculating of all modules all is around the collection of data, transmission, Treatment Analysis, storage, shares issue etc. and carry out, and the correctness of the collection of data directly influences the accuracy of each performance computation of power plant and analysis and the directive significance of Premium Features.In addition, measurement data also possibly be interfered, the influence of drift and measurement environment and produce stochastic error, and this deviation often is difficult to detected intuitively.The sensor signal of mistake can cause system to do the decision-making that makes mistake, thus cause calculating inaccurate, cause energy dissipation, when serious even cause systemic breakdown.
Current sensor fault detection method mainly contains hardware redundancy, expert system approach, parsing redundancy method, neural net method etc.Mainly there are two shortcomings in these methods: the first is because complex equipments takes up room greatly, and cost is higher, and mainly is used in the measuring system of having known concrete mathematical model.It two is the accurate Analysis mathematical models that depend on object; On actual the realization suitable difficulty is arranged, can not diagnose, therefore work out a kind of feasible novel difficulty; Practical device to sensor acquisition to data carry out fault diagnosis; Design a kind of sensor malfunction diagnostic device and be necessary, and thermal power plant's production is had very great directive significance, also do not have this feasible sensor malfunction diagnostic device at present to thermal power plant.
Summary of the invention
The utility model technical matters to be solved is, and is not enough to prior art, and a kind of thermal power plant sensor malfunction diagnostic device is provided, and exactly sensor carried out fault diagnosis.
For solving the problems of the technologies described above; The technical scheme that the utility model adopted is: a kind of thermal power plant sensor malfunction diagnostic device; Comprise voltage sensor, current sensor, temperature sensor, flow sensor, liquid level sensor, valve position sensor, gateway, FPGA, server (real time data server), fault detection module, the Fault Identification module of data acquisition software are installed; Voltage sensor, current sensor, temperature sensor, flow sensor, liquid level sensor, valve position sensor are connected with gateway through voltage transmitter, current transducer, temperature transmitter, flow transmitter, fluid level transmitter, valve position transmitter respectively; Gateway is connected with FPGA through analog to digital converter; FPGA is connected with the server that data acquisition software is installed; The server that data acquisition software is installed is connected with fault detection module, and fault detection module is connected with the Fault Identification module; Said fault detection module comprises server (detection server) and the alarm that is used to detect data fault, and the server that is used to detect data fault is connected with alarm; Said Fault Identification module comprises server (diagnosis server) and the monitor that is used for the tracing trouble data type, and the server that is used for the tracing trouble data type is connected with monitor.
The utility model is simple in structure, cost is low, applied widely, with strong points, can carry out diagnostic analysis to data such as pressure, temperature, flow, liquid level, valve position, through simply calculating, diagnose the fault of the various sensors of thermal power plant exactly.
Description of drawings
Fig. 1 is the utility model one example structure block diagram.
Embodiment
As shown in Figure 1; The utility model one embodiment comprises voltage sensor, current sensor, temperature sensor, flow sensor, liquid level sensor, valve position sensor, gateway, FPGA, real time data server, fault detection module, Fault Identification module; Voltage sensor, current sensor, temperature sensor, flow sensor, liquid level sensor, valve position sensor are connected with gateway through voltage transmitter, current transducer, temperature transmitter, flow transmitter, fluid level transmitter, valve position transmitter respectively; Gateway is connected with FPGA through analog to digital converter; FPGA is connected with real time data server; Real time data server is connected with fault detection module, and fault detection module is connected with the Fault Identification module; Said fault detection module comprises detection server and alarm, detects server and is connected with alarm; Said Fault Identification module comprises diagnosis server and monitor, and diagnosis server is connected with monitor.
The voltage sensor model is BD-AV, and the current sensor model is BD-AI, and the temperature sensor model is TS410, and the flow sensor model is LDE250, and the liquid level sensor model is HD312, and the valve position sensor model is AVP100; The voltage transmitter model is MA1A_V485V_STMA44, and the current transducer model is TU3D_C420V4, and the temperature transmitter model is TM6922, and the flow transmitter model is P7BN443X, and the fluid level transmitter model is GLP2881, and valve position transmitter model is BFA-G; The analog to digital converter model is DF1760P; Alarm adopts speech recording and reproducing integrated circuit ISD33240 intelligent sound warning device; The monitor model is Samsung S27B750V.
Real time data server has following two big functions:
(1) query analysis of historical data.
The user can inquire about the historical data of specifying measuring point; And can analyze and specify mean value, maximal value, minimum value, maximum, the minimum value of measuring point to go out now etc. in a period of time; The correlation curve etc. of real-time curve, history curve and the multiple spot of single-point is provided, and is the important evidence of analyzing the unit operation conditions;
(2) real-time of data and accuracy are high.
Can accomplish being lower than in cycle of 30 seconds for the collection of magnanimity real time data, processing, analytical calculation, storage, demonstration.All data of system acquisition all are from the database of subordinate enterprise, directly to extract, and the centre has no artificial intervention, guarantees the accuracy of the data that the user obtains.
Be equipped with in the real time data server and be prone to the scientific and technological data acquisition software that traces back.
Detect server and mainly realize following function: detect data and whether have fault, rationally distinguish normal data, fault data, normal data is directly returned real time data server, fault data is sent to alarm; Wave test software, PDES-E software etc. are installed in this server.
Diagnosis server is mainly realized following function: diagnosis comes from the fault data type that detects server; And fault type transferred back to real time data server in real time; Simultaneously, in monitor, show this fault, this server is mainly accomplished diagnosis based on VC++ and oracle.
The configuration of each server is following: more than (1) CPU:P4 2.4G; (2) more than the RAM:521MB; (3) hard disk: more than the 50GB; (4) CRT:XVGA15 " (differentiate >=1024*768) more than; (5) CD-ROM drive: four times more than the speed; (6) more than operating system: windows2003 reaches; (7) network: Ethemet network interface card, MODEM etc.; (8) other: other multimedia accessories such as mouse, keyboard.
Obtain the 4-20mA electric signal through each sensor acquisition physical quantity, pass to analog to digital converter, convert digital signal corresponding to through each transmitter; Give real time data server by FPGA with a large amount of digital signal transfers; Through real time data server data qualification is stored again, adopt suitable method to analyze and handle with the actual measurement parameter, detect through fault detection module whether fault is arranged historical; Then get into the Fault Identification module if having; Obtain fault category through diagnosis server, fault diagnosis result is shown through monitor in real time, and fault type is in time fed back to real time data server.
Claims (6)
1. thermal power plant's sensor malfunction diagnostic device; It is characterized in that; Comprise voltage sensor, current sensor, temperature sensor, flow sensor, liquid level sensor, valve position sensor, gateway, FPGA, the server that data acquisition software is installed, fault detection module, Fault Identification module; Voltage sensor, current sensor, temperature sensor, flow sensor, liquid level sensor, valve position sensor are connected with gateway through voltage transmitter, current transducer, temperature transmitter, flow transmitter, fluid level transmitter, valve position transmitter respectively; Gateway is connected with FPGA through analog to digital converter; FPGA is connected with the server that data acquisition software is installed, and the server that data acquisition software is installed is connected with fault detection module, and fault detection module is connected with the Fault Identification module; Said fault detection module comprises server and the alarm that is used to detect data fault, and the server that is used to detect data fault is connected with alarm; Said Fault Identification module comprises server and the monitor that is used for the tracing trouble data type, and the server that is used for the tracing trouble data type is connected with monitor.
2. thermal power plant according to claim 1 sensor malfunction diagnostic device; It is characterized in that said voltage sensor model is BD-AV, the current sensor model is BD-AI; The temperature sensor model is TS410; The flow sensor model is LDE250, and the liquid level sensor model is HD312, and the valve position sensor model is AVP100.
3. thermal power plant according to claim 1 sensor malfunction diagnostic device; It is characterized in that said voltage transmitter model is MA1A_V485V_STMA44, the current transducer model is TU3D_C420V4; The temperature transmitter model is TM6922; The flow transmitter model is P7BN443X, and the fluid level transmitter model is GLP2881, and valve position transmitter model is BFA-G.
4. thermal power plant according to claim 1 sensor malfunction diagnostic device is characterized in that, said analog to digital converter model is DF1760P.
5. thermal power plant according to claim 1 sensor malfunction diagnostic device is characterized in that, said alarm adopts speech recording and reproducing integrated circuit ISD33240 intelligent sound warning device.
6. thermal power plant according to claim 1 sensor malfunction diagnostic device is characterized in that, said monitor model is Samsung S27B750V.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220248198 CN202614273U (en) | 2012-05-30 | 2012-05-30 | Thermal power plant sensor fault diagnosis device |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN 201220248198 CN202614273U (en) | 2012-05-30 | 2012-05-30 | Thermal power plant sensor fault diagnosis device |
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| CN202614273U true CN202614273U (en) | 2012-12-19 |
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| CN 201220248198 Expired - Lifetime CN202614273U (en) | 2012-05-30 | 2012-05-30 | Thermal power plant sensor fault diagnosis device |
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Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103017305A (en) * | 2012-12-29 | 2013-04-03 | 苏州市职业大学 | Condensed water drainage controller of air conditioning system |
| CN107025162A (en) * | 2016-02-01 | 2017-08-08 | 财团法人资讯工业策进会 | Adjust the system and method for data collection frequencies |
| CN109520548A (en) * | 2018-11-28 | 2019-03-26 | 徐州江煤科技有限公司 | A kind of Multifunction Sensor trouble-shooter |
| CN109683538A (en) * | 2019-02-22 | 2019-04-26 | 无锡昆仑富士仪表有限公司 | A kind of functional safety pressure transmitter |
| WO2020000362A1 (en) * | 2018-06-29 | 2020-01-02 | 罗伯特·博世有限公司 | Method for monitoring and identifying sensor failure in electric drive system |
| CN113804231A (en) * | 2021-08-03 | 2021-12-17 | 大唐三门峡电力有限责任公司 | Thermal power plant sensor fault diagnosis device and diagnosis method |
| CN114047730A (en) * | 2021-10-27 | 2022-02-15 | 华电西港发电有限公司 | Power generation production optimizing control device of efficient energy-saving thermal power plant |
-
2012
- 2012-05-30 CN CN 201220248198 patent/CN202614273U/en not_active Expired - Lifetime
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103017305A (en) * | 2012-12-29 | 2013-04-03 | 苏州市职业大学 | Condensed water drainage controller of air conditioning system |
| CN107025162A (en) * | 2016-02-01 | 2017-08-08 | 财团法人资讯工业策进会 | Adjust the system and method for data collection frequencies |
| WO2020000362A1 (en) * | 2018-06-29 | 2020-01-02 | 罗伯特·博世有限公司 | Method for monitoring and identifying sensor failure in electric drive system |
| CN112041819A (en) * | 2018-06-29 | 2020-12-04 | 罗伯特·博世有限公司 | Method for monitoring and identifying sensor faults in an electric drive system |
| JP2021529395A (en) * | 2018-06-29 | 2021-10-28 | ローベルト ボツシユ ゲゼルシヤフト ミツト ベシユレンクテル ハフツングＲｏｂｅｒｔ Ｂｏｓｃｈ Ｇｍｂｈ | Methods for monitoring and identifying sensor failures in electrically driven systems |
| CN112041819B (en) * | 2018-06-29 | 2022-08-05 | 罗伯特·博世有限公司 | Method for monitoring and identifying sensor faults in an electric drive system |
| CN109520548A (en) * | 2018-11-28 | 2019-03-26 | 徐州江煤科技有限公司 | A kind of Multifunction Sensor trouble-shooter |
| CN109683538A (en) * | 2019-02-22 | 2019-04-26 | 无锡昆仑富士仪表有限公司 | A kind of functional safety pressure transmitter |
| CN109683538B (en) * | 2019-02-22 | 2023-09-15 | 无锡昆仑富士仪表有限公司 | Functional safety pressure transmitter |
| CN113804231A (en) * | 2021-08-03 | 2021-12-17 | 大唐三门峡电力有限责任公司 | Thermal power plant sensor fault diagnosis device and diagnosis method |
| CN114047730A (en) * | 2021-10-27 | 2022-02-15 | 华电西港发电有限公司 | Power generation production optimizing control device of efficient energy-saving thermal power plant |
| CN114047730B (en) * | 2021-10-27 | 2023-10-27 | 华电西港发电有限公司 | Efficient energy-saving optimal control device for power generation production of thermal power plant |
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