Interlocking switch quantity acquisition requires high real-time performance. Therefore, a single-chip microcomputer-based intelligent switch quantity acquisition memory card is designed separately, which collects and stores the state of each switch quantity in real time, and reduces the burden of the industrial computer CPU. It can be transmitted to the industrial computer through the PC bus for monitoring and display.

The process signal is a slow-changing signal, and there is no special requirement for sampling. Therefore, an independent process signal acquisition unit is designed. The single-chip template controls the polling sampling and continuously covers the refresh. When the industrial computer needs the process signal data, the single-chip interrupt is triggered, and the PC bus will be used. The newly collected data is uploaded to the industrial computer.

Taking into account the key phase and accuracy requirements, the speed signal is obtained by the addition of an eddy current sensor and a separately designed circuit. The speed measurement sub-module controls the simultaneous sampling, providing it with a pulse signal and a phase reference.

When the equipment is working normally, the speed is relatively stable, usually using a fixed sampling frequency. In the case of unstable starting and stopping speeds, the sampling frequency is determined according to the rotation speed to achieve full cycle sampling. The monitoring mode monitoring system is triggered by the clock timing, collects the working condition signal, refreshes the screen display with the latest data, and preliminarily judges the unit status according to the current information. The vibration peak-to-peak value or the frequency-divided amplitude of each measuring point is represented by different colors according to its state, so that the abnormal vibration point can be seen at a glance. The working condition report list box shows the details of the unit alarm. If the current measuring point is abnormal, its peak-to-peak value is in the warning or alarm state, so that the operator can know the current working condition. Each sampled data is recorded as a file and a certain number of raw data files are always saved by the system. Once a crew alarm occurs, these data become valuable information for analyzing the cause of the fault and are permanently stored. Usually, the system automatically retains 10 minutes of data before and after the alarm, and then the data is scrolled and refreshed within 10 minutes. Monitor the interface and system main flow.

During normal operation, the system automatically saves all raw data (process signals such as vibration signals, temperature and pressure, and interlock alarm signals) for one hour according to the set time interval, in case of report printing, and as the operation of the unit, Refer to the maintenance unit for maintenance adjustment.

At the same time, feature data is extracted from the original data to achieve effective management of historical data.

When the unit is in emergency shutdown due to a fault, the monitoring system automatically switches to the emergency shutdown monitoring state, recording the original vibration data during the entire shutdown process, so that a complete data on the emergency shutdown can be obtained for analyzing the cause of the accident.

The central control computer is connected by the peer-to-peer network to the computer in the field control room. In order to realize the quasi-synchronous display of the on-site information of the central control computer, the working mode of direct access by the terminal is adopted. In this way, the current screen display, and directly copy the data files and management files of the lower computer, that is, the maintenance and management of the data depends on the on-site control computer system.

In this way, it is avoided to repeat the calculations, working condition discrimination, file sorting, etc. that the lower machine has already done, which saves the system running time overhead. Moreover, since the central control computer relies on the lower computer for the management of the data, even if the central control machine stops working for a certain period of time for some reason, it will not lose data and affect the integrity of the data backup. System operation parameters, such as sensor sensitivity coefficient, peak alarm threshold of each channel, sampling speed interval, sampling time interval, etc., can be modified or reset to suit different applications.

State analysis signal analysis is the core function of condition monitoring software. It plays an important role in processing, transforming and extracting sensitive fault signs. Different types of data are full Page4 manufacturing automation.

The analysis module of the monitoring system provides time series parameter calculation, FFT transformation and various windowing algorithms, detailed spectrum analysis FFT algorithm, demodulation spectrum analysis algorithm, and prediction diagnosis algorithm, such as various time domains, frequency domains, trends and other The vibration analysis function can comprehensively analyze the machine state data collected in the field and master the key factors affecting the operation stability of the unit. These algorithms are common and relatively independent in each monitoring system, so they are compiled into DLL dynamic link libraries, which have standard data input and output interfaces, which can be easily embedded into monitoring systems or signal analysis systems written in any language. .

The remote monitoring and diagnosis utilizes the network and telephone cables. The system can dynamically monitor and diagnose the operating conditions of the unit away from the industrial site, and the system can provide services for multiple authorized users at the same time, thereby achieving multi-user remote collaborative diagnosis. The user terminal is simple to operate. After each user registers in the diagnostic center, he only needs to install a client communication interface module and do simple settings <2, 3>.

The key to remote monitoring and diagnostics is data communication. Using the FTP protocol support and response operation functions provided by JA2VA's Sun.net.ftp software package, the system can download the user data files required for diagnosis. This remote data transmission request can be realized by automatically updating the current data. It can also be controlled by researchers at the Diagnostic Center. With JAVA's multi-threading mechanism, multiple users can simultaneously send diagnostic requests to the diagnostic center and get a response from the diagnostic center.

Conclusion Through the actual operation on site, the system is proved to be reasonable, efficient, flexible, and adaptable. It provides an effective means to ensure the safe operation and scientific maintenance of the turbine compressor unit, and the system operates on similar rotating machinery. Monitoring is also of universal application value.

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