CN214698150U - Hydroelectric set state monitoring and fault diagnosis system - Google Patents

Hydroelectric set state monitoring and fault diagnosis system Download PDF

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Publication number
CN214698150U
CN214698150U CN202120799801.4U CN202120799801U CN214698150U CN 214698150 U CN214698150 U CN 214698150U CN 202120799801 U CN202120799801 U CN 202120799801U CN 214698150 U CN214698150 U CN 214698150U
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China
Prior art keywords
monitoring
guide bearing
cloud service
service platform
fault diagnosis
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Expired - Fee Related
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CN202120799801.4U
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Chinese (zh)
Inventor
艾莉
叶帆
熊伟
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Honghe University
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Honghe University
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E10/00Energy generation through renewable energy sources
    • Y02E10/20Hydro energy

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Abstract

The utility model discloses a state monitoring and fault diagnosis system of a hydroelectric generating set, which comprises a monitoring device, a signal acquisition device and a cloud service platform, the monitoring device is used for detecting the operation condition of each component of the water-turbine generator set, the signal acquisition device is electrically connected with the monitoring device, the signal acquisition device is used for converting the analog quantity signals acquired by the monitoring device into digital quantity signals and storing the digital quantity signals in the cloud service platform, the analog quantity signals acquired by the temperature sensor and the swing sensor are converted into digital quantity signals and stored in the cloud service platform, the cloud service platform is used for storing and managing the real-time state data, the historical state data and the characteristic data of the unit transmitted from the monitoring device, therefore, faults can be found in time, potential fault sources can be found in time, timely maintenance is facilitated, and loss is reduced.

Description

Hydroelectric set state monitoring and fault diagnosis system
Technical Field
The utility model relates to a hydraulic generator technical field, specific field is a hydroelectric set state monitoring and fault diagnosis system.
Background
The state monitoring system is basically installed in the power station unit, but the traditional state monitoring system can only give an alarm when the unit fails, cannot find a potential fault source in advance, cannot analyze the reason of the failure, and cannot provide a maintenance strategy. With the continuous improvement of the safe and stable operation, standardization and fine management levels of power grids and power stations, the service requirements of the power stations on the intelligent remote operation and maintenance system of the power generation equipment are more urgent.
Therefore, a state monitoring and fault diagnosis system of the water turbine generator set is provided.
SUMMERY OF THE UTILITY MODEL
An object of the utility model is to provide a hydroelectric set state monitoring and fault diagnosis system to solve the problem that proposes among the above-mentioned background art.
In order to achieve the above object, the utility model provides a following technical scheme: a state monitoring and fault diagnosis system of a water-turbine generator set comprises a monitoring device, a signal acquisition device and a cloud service platform, wherein the monitoring device is used for detecting the operation condition of each component of the water-turbine generator set, the signal acquisition device is electrically connected with the monitoring device, the signal acquisition device is used for converting an analog quantity signal acquired by the monitoring device into a digital quantity signal and storing the digital quantity signal in the cloud service platform, an analog quantity signal acquired by a temperature sensor and a swing sensor is converted into a digital quantity signal and storing the digital quantity signal in the cloud service platform, the cloud service platform is used for storing and managing real-time state data, historical state data and each characteristic data of the generator set transmitted by the monitoring device, a user can generate and modify online pictures and reports, modify database parameters online, define, calibrate and add and delete online measuring points, and a state data server for clock management of all devices.
Preferably, the monitoring device comprises a temperature sensor and a swing sensor, wherein the temperature sensor is used for detecting the temperature conditions of all parts of the guide bearing in real time;
and the throw sensor is used for acquiring relevant data of the throw of the large shaft of the guide bearing.
Preferably, the acquiring of the relevant data of the large shaft throw of the guide bearing by the throw sensor comprises: the hydro-generator comprises an upper guide bearing swing peak value, a lower guide bearing swing peak value and a water guide bearing swing peak value.
Preferably, the cloud service platform is used for synchronously acquiring and processing vibration, swing degree, pressure pulsation and related process quantity parameters of the hydroelectric generating set in real time, and carrying out unit stability monitoring analysis such as real-time display, alarm early warning, data management and data analysis on the running stability of the hydroelectric generating set;
the method comprises the following steps of monitoring and analyzing the air gap change between a stator and a rotor of the hydraulic generator, and monitoring and analyzing the dynamic characteristics of the rotor and the stator of the hydraulic generator;
monitoring the magnetic field intensity of the hydraulic generator in real time, and detecting the magnetic field intensity monitoring analysis of the hydraulic generator with unbalanced generator electromagnetism;
monitoring partial discharge of the hydraulic generator;
monitoring and analyzing main transformer oil chromatography;
the energy and the efficiency of the unit are monitored in real time, and the energy characteristic monitoring analysis of the hydraulic generator reflecting the state and the performance of the hydraulic generator unit is carried out.
Preferably, the monitoring device is in signal connection with the cloud service platform.
Preferably, the temperature conditions of the components of the guide bearing comprise the tile temperature of the upper guide bearing, the lower guide bearing and the water guide bearing.
Preferably, the throw sensor is an eddy current type vibration detector.
Compared with the prior art, the beneficial effects of the utility model are that: a state monitoring and fault diagnosis system of a water turbine generator set is provided with a monitoring device, a signal acquisition device and a cloud service platform, wherein the signal acquisition device is used for converting an analog quantity signal acquired by the monitoring device into a digital quantity signal and storing the digital quantity signal in the cloud service platform, the cloud service platform is used for storing and managing real-time state data, historical state data and characteristic data of the water turbine generator set transmitted from the monitoring device, a user can generate and modify an online picture and a report, modify database parameters online, define, calibrate and add and delete online measuring points, and a state data server is used for carrying out clock management on all equipment, so that faults can be discovered in time, potential fault sources can be discovered in time, timely overhaul is facilitated, and loss is reduced.
Drawings
Fig. 1 is a schematic view of the working principle of the present invention.
In the figure: the system comprises a monitoring device, a temperature sensor 101, a swing sensor 102, a signal acquisition device 2 and a cloud service platform 3.
Detailed Description
The technical solutions in the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. Based on the embodiments in the present invention, all other embodiments obtained by a person skilled in the art without creative work belong to the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: a state monitoring and fault diagnosis system of a water turbine generator set comprises a monitoring device 1, a signal acquisition device 2 and a cloud service platform 3, wherein the monitoring device 1 is used for detecting the operation condition of each component of the water turbine generator set, the signal acquisition device 2 is electrically connected with the monitoring device 1, the monitoring device 1 is used for acquiring the state parameters of each component when the water turbine generator is operated, the signal acquisition device 2 is used for converting an analog quantity signal acquired by the monitoring device 1 into a digital quantity signal and storing the digital quantity signal in the cloud service platform 3, the cloud service platform is used for storing and managing real-time state data, historical state data and each characteristic data of the water turbine generator set transmitted from the monitoring device 1, a user can generate and modify online pictures and reports, modify database parameters online, define, calibrate and add and delete online measuring points, and a state data server for clock management of all devices.
Specifically, the monitoring device 1 comprises a temperature sensor 101 and a swing sensor 102, wherein the temperature sensor 101 is used for detecting the temperature condition of each part of a guide bearing in real time;
the throw sensor 102 is used for collecting relevant data of the throw of the large shaft of the guide bearing.
Specifically, the acquiring of the data related to the lead bearing large shaft throw by the throw sensor 102 includes: the hydro-generator comprises an upper guide bearing swing peak value, a lower guide bearing swing peak value and a water guide bearing swing peak value.
Specifically, the cloud service platform 3 is used for synchronously acquiring and processing vibration, swing, pressure pulsation and related process quantity parameters of the hydroelectric generating set in real time, and performing unit stability monitoring analysis such as real-time display, alarm early warning, data management and data analysis on the running stability of the hydroelectric generating set;
the method comprises the following steps of monitoring and analyzing the air gap change between a stator and a rotor of the hydraulic generator, and monitoring and analyzing the dynamic characteristics of the rotor and the stator of the hydraulic generator;
monitoring the magnetic field intensity of the hydraulic generator in real time, and detecting the magnetic field intensity monitoring analysis of the hydraulic generator with unbalanced generator electromagnetism;
monitoring partial discharge of the hydraulic generator;
monitoring and analyzing main transformer oil chromatography;
the energy and the efficiency of the unit are monitored in real time, and the energy characteristic monitoring analysis of the hydraulic generator reflecting the state and the performance of the hydraulic generator unit is carried out, so that the running state of the hydraulic generator is monitored in real time in all directions.
Specifically, the monitoring device 1 is in signal connection with the cloud service platform, and can remotely access the cloud service platform 3 through a mobile terminal.
Specifically, the temperature conditions of all parts of the guide bearing comprise the tile temperatures of the upper guide bearing, the lower guide bearing and the water guide bearing, and the accuracy of monitoring data is ensured.
Specifically, the swing sensor 102 is an eddy current type vibration detector.
The working principle is as follows: the utility model discloses during the use, monitoring devices is used for detecting each part operational aspect of hydroelectric set, signal acquisition device is connected with the monitoring devices electricity, signal acquisition device is used for converting the analog signal that monitoring devices gathered into the digital signal and stores inside cloud service platform, the analog signal conversion that temperature sensor and throw sensor gathered is the digital signal storage in cloud service platform, thereby real-time supervision hydroelectric set running state, in time discover the fault source, the production of prediction trouble and in time implementation measure, thereby guarantee the normal operating of device.
In the description of the present invention, unless expressly stated or limited otherwise, the terms "mounted," "connected," and "fixed" are to be construed broadly, e.g., as meaning either a fixed connection, a removable connection, or an integral part; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meaning of the above terms in the present invention can be understood in specific cases to those skilled in the art.
The utility model discloses the standard part that uses all can purchase from the market, and dysmorphism piece all can be customized according to the description with the record of drawing of description, and the concrete connection mode of each part all adopts conventional means such as ripe bolt, rivet, welding among the prior art, and machinery, part and equipment all adopt prior art, and conventional model, including circuit connection adopts conventional connection mode among the prior art, does not detailed here again.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.

Claims (7)

1. The utility model provides a hydroelectric set condition monitoring and fault diagnosis system, includes monitoring devices (1), signal acquisition device (2) and cloud service platform (3), its characterized in that: the monitoring device (1) is used for detecting the operation conditions of all parts of the water turbine generator set, the signal acquisition device (2) is electrically connected with the monitoring device (1), the signal acquisition device (2) is used for converting analog quantity signals acquired by the monitoring device (1) into digital quantity signals and storing the digital quantity signals in the cloud service platform (3), the cloud service platform is used for storing and managing real-time state data, historical state data and all characteristic data of the generator set transmitted from the monitoring device (1), a user can generate and modify online pictures and reports, modify database parameters online, define, calibrate and add and delete online measuring points, and a state data server is used for carrying out clock management on all equipment.
2. The hydroelectric generating set condition monitoring and fault diagnosis system of claim 1, wherein: the monitoring device (1) comprises a temperature sensor (101) and a throw sensor (102), wherein the temperature sensor (101) is used for detecting the temperature condition of each part of the guide bearing in real time;
the throw sensor (102) is used for collecting relevant data of the throw of the large shaft of the guide bearing.
3. The hydroelectric generating set condition monitoring and fault diagnosis system of claim 2, wherein: the method for acquiring the relevant data of the large shaft throw of the guide bearing by the throw sensor (102) comprises the following steps: the hydro-generator comprises an upper guide bearing swing peak value, a lower guide bearing swing peak value and a water guide bearing swing peak value.
4. The hydroelectric generating set condition monitoring and fault diagnosis system of claim 1, wherein: the cloud service platform (3) is used for synchronously acquiring and processing vibration, swing degree, pressure pulsation and related process quantity parameters of the hydroelectric generating set in real time, and carrying out unit stability monitoring analysis such as real-time display, alarm early warning, data management and data analysis on the running stability of the hydroelectric generating set;
the method comprises the following steps of monitoring and analyzing the air gap change between a stator and a rotor of the hydraulic generator, and monitoring and analyzing the dynamic characteristics of the rotor and the stator of the hydraulic generator;
monitoring the magnetic field intensity of the hydraulic generator in real time, and detecting the magnetic field intensity monitoring analysis of the hydraulic generator with unbalanced generator electromagnetism;
monitoring partial discharge of the hydraulic generator;
monitoring and analyzing main transformer oil chromatography;
the energy and the efficiency of the unit are monitored in real time, and the energy characteristic monitoring analysis of the hydraulic generator reflecting the state and the performance of the hydraulic generator unit is carried out.
5. The hydroelectric generating set condition monitoring and fault diagnosis system of claim 1, wherein: the monitoring device (1) is in signal connection with the cloud service platform.
6. The hydroelectric generating set condition monitoring and fault diagnosis system of claim 2, wherein: the temperature conditions of all parts of the guide bearing comprise the bush temperature of the upper guide bearing, the lower guide bearing and the water guide bearing.
7. The hydroelectric generating set condition monitoring and fault diagnosis system of claim 2, wherein: the throw sensor (102) is an eddy current type vibration detector.
CN202120799801.4U 2021-04-19 2021-04-19 Hydroelectric set state monitoring and fault diagnosis system Expired - Fee Related CN214698150U (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202120799801.4U CN214698150U (en) 2021-04-19 2021-04-19 Hydroelectric set state monitoring and fault diagnosis system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202120799801.4U CN214698150U (en) 2021-04-19 2021-04-19 Hydroelectric set state monitoring and fault diagnosis system

Publications (1)

Publication Number Publication Date
CN214698150U true CN214698150U (en) 2021-11-12

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114876718A (en) * 2022-06-23 2022-08-09 西安热工研究院有限公司 Water turbine upper guide swing degree standard exceeding handling system and method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114876718A (en) * 2022-06-23 2022-08-09 西安热工研究院有限公司 Water turbine upper guide swing degree standard exceeding handling system and method
CN114876718B (en) * 2022-06-23 2024-03-26 西安热工研究院有限公司 Water turbine upper guide swing degree out-of-standard treatment system and method

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Granted publication date: 20211112