Research on Remote Monitoring and Fault Diagnosis System for Turbogenerator Vibration

The design of the system software is introduced.

Research on process condition monitoring and fault diagnosis techniques.

0 Introduction With the continuous development of computer technology and the maturity of communication technology in recent years, the perfection of signal acquisition and processing equipment, and the development of fault diagnosis technology, it provides advanced technical means for experts to carry out remote condition monitoring and intelligent fault diagnosis. If these technologies are organically combined to develop a more complete system, then the desire to realize the diagnosis of different unit failures in real time by experts can become a reality.

This article will discuss some of the ideas in the development of remote monitoring and diagnostic system software for rotating machinery, first discuss the overall frame layout of the system and its functions, then introduce the basic hardware configuration, and finally discuss the specific functions and key implementation of the main software modules. technology.

1 system overall structure framework The system can be divided into three parts: data collection station, engineering station and remote diagnosis center. These sites are connected by network technology to jointly deal with problems, thus achieving data sharing and sub-1.1 field data collection station parameters.

The data processing required.

Establish a real-time database, store the data collected in real time, and send the collected data to the engineering station of the upper layer in real time.

Part of the data is stored as historical data, used to patch the database when the backup is corrupted in the upper level database.

1.2 The main functions of the engineering station include: primary analysis and diagnosis of vibration faults.

Send a control command to the field data collection station.

A workstation can use one or more data servers to provide data services, while other terminals can share this data and provide their own services.

1.3 The main functions of the remote diagnosis center include: receiving real-time data transmitted from the field engineer station.

Stores abnormal conditions and data under some normal conditions for subsequent fault analysis.

Run a variety of service software to provide technical support to field engineers, including vibration fault analysis, diagnostics and governance software.

2 main hardware industry-level high-speed data acquisition board.

It is connected via Ethernet, and the field data collection station sends the data to the engineering station in real time via the fieldbus. The engineering station can connect to the DCS and ME systems through the LAN setting gateway, so that the data of both parties can be shared to a greater extent.

The center is connected through the WAN. The field engineer station and the remote diagnosis center are equipped with mode to establish a point-to-point data link through the telephone line. On this basis, the communication software is run to transmit data in real time.

The data server runs the Windows NT operating system; the other service terminals configure the PC, run the Windows 3 main software module 3.1 communication module, and the on-site LAN connects the field data collection stations and the engineering stations with Ethernet to realize the communication task. These communication tasks include: the on-site collection station periodically sends the current operating parameters of the unit to the engineering station.

The engineering station sends control parameter setting commands such as control and acquisition to the data collection station.

When the data in the central database of the engineering station is damaged, the on-site data collection station may be requested to send its local database to the central database to repair the damaged database.

These sites are based on the Windows series operating system and use the Microsoft Network network connection. The Winsock protocol is used to develop the application layer data transmission protocol based on the TCP/IP network protocol, and the communication server and client are written by Client/Seivei. software. For time-critical data transfers, Windows NT named pipes can be used to transfer real-time data.

Server-side software can connect to multiple clients at the same time for multicast.

The gateway is used to connect the MIS, DCS system and the engineering station, and the real-time data can be transmitted by the Windows NT named pipe, so that the engineers on the MIS station can monitor the vibration state. For historical data, the MSDCS workstation can use the network access function of SQLServer and Oracle to directly access the database of the field engineering station through the ODBC database interface or the ADO interface, and can also be transmitted by Winsock. At the same time, the network connection module compatible with the DAS and DCS systems can be used to obtain important state parameters that are not introduced in the vibration state monitoring system.

The field engineer station and the remote diagnosis center establish a point-to-point connection through the modem. The Ftp or Http protocol can be used to view and download historical data. The TCP/IP and Winsock protocols can also be used to write remote communication software to transmit real-time data. Dialogue connections should be established at both ends to enable on-site interaction between field engineers and diagnostic center experts, to obtain more information in a timely manner, and to provide diagnostics by experts. 3.2 Database module The design of database modules should be based on the principle of decentralization and concentration. The database module is divided into three parts: the data collection station database, the client server database, and the diagnostic center database.

These three partial database functions are not the same.

Data collection station database design principles on-site LAN communication news JalElectrnic oil-shaped data, spectrum data, etc. Real-time database mining list data design real-time database, including various characteristic parameters of vibration, wave structure design, such as high time requirements can be designed by binary tree data structure. In order to repair the unexpected damage of the upper-level database, to save the recently collected data, establish a local history database, you can set the time range to adjust the size of the database. At the same time, the data in some special working conditions should also be kept as a historical database. Including: often store data every 20 to 100 revolutions. The frequency of acquisition can be selected according to specific requirements.

The analysis of the fault plays a very important role.

Field engineer station database design principle Meter large database management system: OracleSQLServer, etc., using ADO, ODBC and other database interfaces to provide data services to other terminal services software, its storage content includes: field engineer station database should also provide some basic operational functions: Basic reading and writing functions, in particular, should adopt different storage strategies according to different operating states. The data storage density is smaller in normal working conditions, and data storage density should be added in abnormal working conditions to more accurately perform fault analysis and diagnosis.

Establish database objects such as the necessary index view stored procedures, which can optimize the performance of the database and provide a convenient operation interface for other service software.

According to different diagnostic factories, the corresponding real-time and historical databases are established, and the historical database adopts a large-scale database management system. The real-time database receives data sent by the client in real time for remote monitoring.

The historical database mainly collects some fault-related characteristic data, including: 3.3 Service program module The service program module is an important part of the remote diagnosis center. The field engineer and the remote expert analyze and process the vibration data through it. Troubleshooting and developing a fault management strategy.

Mainly includes: real-time data display analysis can display various state parameters in a list manner, and can draw various graphics, there are a variety of graphical methods reflecting vibration signs, read data from the real-time database and then draw corresponding graphics, such as vibration Waveform, vibration spectrum, lifting speed Bode diagram, vibration pattern, axis trajectory map, etc., experts can select the graphics they want to view, so as to make empirical judgments.

The methods of fault diagnosis have their own strengths, but they all have their own drawbacks.

Fault diagnosis systems based on traditional expert systems have knowledge bottlenecks, difficult to maintain knowledge, weak reasoning ability, poor applicability, and inaccurate reasoning are not suitable for solving fuzzy problems. The neural network-based diagnostic system has many uncertain factors. Because the neural network diagnosis system has no general meaning, the diagnosis under incomplete symptom information is limited or even impossible. Therefore, the diagnostic system is best to combine the traditional expert system and the neural network, so that the neural network constructs the expert system, that is, the symbol-based reasoning of the traditional expert system becomes a numerical operation-based reasoning to improve the execution of the expert system. Efficiency and solve self-learning problems in expert systems.

Other service program experts can interact online, and experts can provide engineers with more perceptual knowledge.

Dynamic balancing services, experts can conduct online governance of vibration faults caused by rotor imbalance, remotely guide field engineers to carry out unbalanced governance.

As the system becomes more and more perfect, more services will be provided according to the requirements of users and their own experience.

4 Conclusions The research on networked fault diagnosis system is in full swing. Its application in remote monitoring and fault diagnosis of steam turbine generator sets is being widely promoted. It provides a reliable and stable operation for steam turbine generator sets. Guarantee.

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