CN110908306A - Hydroelectric generating set reliability monitoring system based on Internet of things - Google Patents
Hydroelectric generating set reliability monitoring system based on Internet of things Download PDFInfo
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- CN110908306A CN110908306A CN201911022630.8A CN201911022630A CN110908306A CN 110908306 A CN110908306 A CN 110908306A CN 201911022630 A CN201911022630 A CN 201911022630A CN 110908306 A CN110908306 A CN 110908306A
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- 238000013528 artificial neural network Methods 0.000 claims description 15
- 238000007726 management method Methods 0.000 claims description 13
- 238000003745 diagnosis Methods 0.000 claims description 9
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
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Abstract
The invention discloses a reliability monitoring system of a hydroelectric generating set based on the Internet of things, which belongs to the technical field of hydroelectric generating sets, wherein an acquisition layer subsystem comprises a sensor, an RS 485-RS 232 bus controller and ZigBee communication equipment, the sensor acquires relevant information of the hydroelectric generating set, acquires the information in real time, converts the information into TTL signals through the RS 485-RS 232 bus controller, sends the TTL signals into the ZigBee communication equipment with CC2530 as a core through a serial port, and transmits data to a transmission layer subsystem through a ZigBee wireless network; the transmission layer subsystem comprises an ARM controller, GPRS communication equipment and ZigBee communication equipment, and is communicated with the acquisition layer subsystem through a ZigBee wireless network and communicated with the application layer subsystem through the GPRS communication equipment; the application layer subsystem comprises a communication server, a real-time database and a power plant management information system, realizes man-machine interaction, monitors parameters of a hydroelectric generating set transmitted from the transmission layer subsystem, and analyzes, displays and feeds back the parameters.
Description
Technical Field
The invention relates to the technical field of hydroelectric generating sets, in particular to a reliability monitoring system of a hydroelectric generating set based on the Internet of things.
Background
Hydroelectric generating sets are also known as "hydro-turbo sets". The power generation unit formed by combining each water turbine and a matched generator in the hydropower station is main power equipment for generating electric energy in the hydropower station. When water flow introduced by a hydropower station passes through a water turbine, the water energy is converted into mechanical energy for driving a machine to rotate; the generator converts the mechanical energy into electric energy and outputs the electric energy.
The existing small hydropower station has the problems of less on-line monitoring data, low informatization degree, difficult accident handling and the like, and the running condition of the hydroelectric generating set is mostly supervised by depending on a manual inspection mode. When equipment fails, a monitoring part and an operation unit cannot grasp timely and cannot make correct response decisions timely.
Disclosure of Invention
The invention aims to provide a hydroelectric generating set reliability monitoring system based on the Internet of things, and aims to solve the problems in the background technology.
In order to achieve the purpose, the invention provides a hydroelectric generating set reliability monitoring system based on the internet of things, which comprises an acquisition layer subsystem, a transmission layer subsystem and an application layer subsystem;
the collecting layer subsystem comprises a sensor, an RS 485-RS 232 bus controller and ZigBee communication equipment, wherein the sensor is used for obtaining relevant information of the hydroelectric generating set and collecting the relevant information in real time, the relevant information is converted into TTL signals through the RS 485-RS 232 bus controller, the TTL signals are sent into the ZigBee communication equipment with CC2530 as a core through a serial port, and data are transmitted to the transmission layer subsystem through a ZigBee wireless network;
the transmission layer subsystem comprises an ARM controller, GPRS communication equipment and ZigBee communication equipment, and is communicated with the acquisition layer subsystem through a ZigBee wireless network and communicated with the application layer subsystem through the GPRS communication equipment;
the application layer subsystem comprises a communication server, a real-time database and a power plant management information system, realizes man-machine interaction, monitors parameters of a hydroelectric generating set transmitted from the transmission layer subsystem, and analyzes, displays and feeds back the parameters.
Preferably, the sensor includes pressure pulsation sensor, throw sensor, vibration sensor, level sensor and active power changer, pressure pulsation in the pressure pulsation sensor monitoring draft tube, the big axle swing of throw sensor monitoring top guide bearing, lower guide bearing and water guide bearing, the vibration condition of vibration sensor monitoring generating set frame and hydraulic turbine top cap, level sensor monitoring upper reaches water level and low reaches water level, the active power of active power changer monitoring unit.
Preferably, the communication server monitors hydroelectric generating set parameter data from a transmission layer subsystem, the real-time database is managed by a data storage box based on an MSSQLSever database, distributed query of different data formats is supported, and the power plant management information system displays the data from the real-time database in a B/S mode and makes decisions according to an expert database.
Preferably, the communication server adopts HTML and XML to issue information to a remote diagnosis center database, and a remote user grasps real-time state information of the unit in a browser/server mode.
Preferably, the power plant management information system acquires field real-time process data through the real-time database, so that a user can know and master the running performance and state of the hydroelectric generating set, and an optimization model and a fault diagnosis model are established on the extrusion of historical data.
Preferably, the power plant management information system is based on the Web, provides a wide area network interface, and is connected with an external information system.
Preferably, the expert database further accurately analyzes and diagnoses the state of the unit according to the fault symptom, the knowledge base diagnosis knowledge and the factual knowledge on the initial result of the real-time database recognition.
Preferably, the expert database is established by the following two ways:
firstly, organizing the experience of field experts in a formalized mode, and establishing an expert database;
and secondly, connecting the expert database with a neural network through a serial connection method, training the neural network by using related data in the database through the neural network, expressing expert knowledge by using implicit behaviors of the neural network, and converting diagnostic conclusions of the neural network into a knowledge expression form of the expert data.
Compared with the prior art, the invention has the beneficial effects that: the system comprises a collecting layer subsystem, a transmission layer subsystem, an application layer subsystem, a communication server, a remote user, a browser/server (B/S) system, a WebPage (Web page) and XML (extended markup language) for information distribution, wherein the collecting layer subsystem is used for comprehensively monitoring the running state of a unit, the transmission layer subsystem is used for communicating with the collecting layer subsystem through a ZigBee wireless network, the GPRS communication device is used for communicating with the application layer subsystem through GPRS communication equipment, man-machine interaction is realized through the application layer subsystem, parameters of a hydroelectric generating unit transmitted from the transmission layer subsystem are intercepted, the parameters are analyzed, displayed and fed back, the communication server adopts HTML and XML for information distribution to a remote diagnosis center database, the remote user can master the real-time state information of the unit through the browser/server mode, the communication server adopts the HTML (Page) and the XML (extended markup language), the remote user can master the, The accident handling steps are simplified.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of the system of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: a hydroelectric generating set reliability monitoring system based on the Internet of things comprises an acquisition layer subsystem, a transmission layer subsystem and an application layer subsystem;
the acquisition layer subsystem comprises a sensor, an RS 485-RS 232 bus controller and ZigBee communication equipment, wherein the sensor acquires relevant information of the hydroelectric generating set, acquires the relevant information in real time, converts the information into TTL signals through the RS 485-RS 232 bus controller, sends the TTL signals into the ZigBee communication equipment with CC2530 as a core through a serial port, and transmits data to the transmission layer subsystem through a ZigBee wireless network;
the transmission layer subsystem comprises an ARM controller, GPRS communication equipment and ZigBee communication equipment, and is communicated with the acquisition layer subsystem through a ZigBee wireless network and communicated with the application layer subsystem through the GPRS communication equipment;
the application layer subsystem comprises a communication server, a real-time database and a power plant management information system, realizes man-machine interaction, monitors parameters of a hydroelectric generating set transmitted from the transmission layer subsystem, and analyzes, displays and feeds back the parameters.
The sensor comprises a pressure pulsation sensor, a swing sensor, a vibration sensor, a water level sensor and an active power transmitter, wherein the pressure pulsation sensor monitors pressure pulsation in a draft tube, the swing sensor monitors large shaft swing of an upper guide bearing, a lower guide bearing and a water guide bearing, the vibration sensor monitors vibration conditions of a generator set frame and a water turbine top cover, the water level sensor monitors upstream water level and downstream water level, and the active power transmitter monitors active power of the generator set.
The system comprises a communication server, a real-time database, a power plant management information system and an expert database, wherein the communication server monitors parameter data of the hydroelectric generating set from a transmission layer subsystem, the real-time database is managed by a data storage box based on an MSSQLSever database, distributed query of different data formats is supported, and the power plant management information system displays the data from the real-time database in a B/S mode and makes decisions according to the expert database.
The communication server adopts HTML and XML to issue information to a remote diagnosis center database, and a remote user grasps real-time state information of the unit in a browser/server mode.
The power plant management information system acquires field real-time process data through the real-time database, so that a user can know and master the running performance and state of the hydroelectric generating set, and an optimization model and a fault diagnosis model are established on the extrusion of historical data.
The power plant management information system is based on Web, provides a wide area network interface and is connected with an external information system.
The expert database carries out further accurate analysis and diagnosis on the state of the unit according to the fault symptom, knowledge base diagnosis knowledge and factual knowledge on the initial result of the real-time database identification; firstly, extracting a fault symptom by a fault characteristic identification network and inputting the fault symptom into a fault classification network by utilizing real-time data or trend data stored in a database; and the fault classification network carries out fault mode identification, preliminarily determines the rough category of the fault, then the expert system calls deep-layer domain knowledge to carry out subdivision diagnosis, and delivers the result to the user.
The expert database is established in the following two ways:
firstly, organizing the experience of field experts in a formalized mode, and establishing an expert database;
secondly, connecting an expert database with a neural network through a serial connection method, training the neural network by using related data in the database through the neural network, expressing expert knowledge by implicit behaviors of the neural network, converting diagnosis conclusions of the neural network into a knowledge expression form of the expert data, and adopting an inference rule of a production system by an inference mechanism of the system to consider a frame structure in a specific inference and matching process; in addition, the knowledge base is added with meta-knowledge of procedural and control properties, and the whole reasoning process is carried out under the control of the meta-knowledge; due to the uncertainty of the diagnostic system, an inverse uncertainty inference strategy is employed.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (8)
1. A hydroelectric generating set reliability monitoring system based on the Internet of things is characterized by comprising an acquisition layer subsystem, a transmission layer subsystem and an application layer subsystem;
the collecting layer subsystem comprises a sensor, an RS 485-RS 232 bus controller and ZigBee communication equipment, wherein the sensor is used for obtaining relevant information of the hydroelectric generating set and collecting the relevant information in real time, the relevant information is converted into TTL signals through the RS 485-RS 232 bus controller, the TTL signals are sent into the ZigBee communication equipment with CC2530 as a core through a serial port, and data are transmitted to the transmission layer subsystem through a ZigBee wireless network;
the transmission layer subsystem comprises an ARM controller, GPRS communication equipment and ZigBee communication equipment, and is communicated with the acquisition layer subsystem through a ZigBee wireless network and communicated with the application layer subsystem through the GPRS communication equipment;
the application layer subsystem comprises a communication server, a real-time database and a power plant management information system, realizes man-machine interaction, monitors parameters of a hydroelectric generating set transmitted from the transmission layer subsystem, and analyzes, displays and feeds back the parameters.
2. The system according to claim 1, wherein the sensors include a pressure pulsation sensor, a swing sensor, a vibration sensor, a water level sensor and an active power transmitter, the pressure pulsation sensor monitors pressure pulsation in a draft tube, the swing sensor monitors large shaft swing of an upper guide bearing, a lower guide bearing and a water guide bearing, the vibration sensor monitors vibration conditions of a generator set frame and a water turbine top cover, the water level sensor monitors an upstream water level and a downstream water level, and the active power transmitter monitors active power of the generator set.
3. The internet of things-based hydroelectric generating set reliability monitoring system according to claim 1, wherein the communication server monitors hydroelectric generating set parameter data from a transmission layer subsystem, the real-time database is managed by a data storage box based on an MSSQL server database, distributed queries in different data formats are supported, and the power plant management information system displays the data from the real-time database in a B/S mode and makes decisions according to an expert database.
4. The system for monitoring the reliability of the hydroelectric generating set based on the internet of things as claimed in claim 1, wherein the communication server issues information to a remote diagnosis center database by using HTML and XML, and a remote user grasps real-time state information of the hydroelectric generating set in a browser/server manner.
5. The system for monitoring the reliability of the hydroelectric generating set based on the internet of things as claimed in claim 1, wherein the power plant management information system acquires field real-time process data through a real-time database, so that a user can know and master the operation performance and state of the hydroelectric generating set, and an optimization model and a fault diagnosis model are established on the extrusion of historical data.
6. The system for monitoring the reliability of the hydroelectric generating set based on the internet of things as claimed in claim 1, wherein the power plant management information system is based on the Web, provides a wide area network interface, and is connected with an external information system.
7. The system for monitoring the reliability of the hydroelectric generating set based on the internet of things as claimed in claim 3, wherein the expert database is used for further accurately analyzing and diagnosing the state of the hydroelectric generating set according to the fault sign, knowledge base diagnosis knowledge and factual knowledge based on the initial result of the real-time database identification.
8. The system for monitoring the reliability of the hydroelectric generating set based on the internet of things according to claim 3, wherein the expert database is established in two ways:
firstly, organizing the experience of field experts in a formalized mode, and establishing an expert database;
and secondly, connecting the expert database with a neural network through a serial connection method, training the neural network by using related data in the database through the neural network, expressing expert knowledge by using implicit behaviors of the neural network, and converting diagnostic conclusions of the neural network into a knowledge expression form of the expert data.
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| CN201911022630.8A CN110908306A (en) | 2019-10-25 | 2019-10-25 | Hydroelectric generating set reliability monitoring system based on Internet of things |
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| CN201911022630.8A CN110908306A (en) | 2019-10-25 | 2019-10-25 | Hydroelectric generating set reliability monitoring system based on Internet of things |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111579978A (en) * | 2020-05-18 | 2020-08-25 | 刘柱华 | System and method for realizing relay fault identification based on artificial intelligence technology |
| CN112350442A (en) * | 2020-11-13 | 2021-02-09 | 国网江西省电力有限公司柘林水电厂 | Hydropower house electrical equipment insulation state monitoring system based on multiple sensing terminals |
| CN113587969A (en) * | 2021-06-18 | 2021-11-02 | 大唐水电科学技术研究院有限公司 | Integrated sensor mounting and wiring method for hydroelectric generating set stability test |
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