Abstract: To ensure the safe and reliable operation of tobacco processing machines and achieve scientific maintenance, a large-scale tobacco processing machine monitoring and diagnostic system based on KingSCADA was studied. The system's composition, functions, and the human-machine interface (HMI) visualization developed using KingSCADA are described. The system can realize functions such as sampling parameter setting, real-time monitoring, real-time curve display, over-limit alarm, report query, historical curve display, time-frequency domain analysis, and trend prediction. The system designed based on KingSCADA features a user-friendly interface, ease of operation, reliable operation, and convenient upgrades. Configurable design provides a new method for the development of monitoring and diagnostic systems. Keywords: large stack gas turbine; Kingview; monitoring; diagnosis Abstract: This paper studies the monitoring and diagnosis system of a large stack gas turbine based on Kingview to ensure the safety and reliability of equipment operation and achieve scientific maintenance. The system structure, functions achieved by the monitoring and diagnosis system and human-machine interface (HMI) are described. The system can achieve sampling parameter setting, real-time monitoring, real-time curve display, over-limit alarming, report query, historical curve display, time-frequency field diagnosis, trend prediction, etc. The system designed based on Kingview has a user-friendly interface, is easy to operate, runs reliably, and updates conveniently. Configuration design provides a new way for the research on the monitoring and diagnosis system. Key words: large stack gas turbine; Kingview; monitoring; diagnosis 1. Introduction Large stack gas turbine units use high-pressure waste gas generated during petroleum catalytic cracking as a medium to expand and output shaft power, driving a generator to generate electricity. These large units have significant energy-saving and environmental benefits and are key equipment. Ensuring the safe operation and achieving scientific maintenance of the unit has great economic benefits. KingSCADA software from Asia Control Technology Co., Ltd. is a Chinese-language human-machine interface software that runs on the Microsoft Windows 98/2000/NT/XP Chinese platform. It adopts new technologies such as multithreading and COM+ components, achieving real-time multitasking and stable and reliable software operation. It features excellent performance, a pure Chinese interface, simple programming style, good real-time performance, convenient exchange with other applications, easy debugging, and support for hundreds of popular domestic devices. This paper takes the large-scale flue gas turbine unit of Yanshan Petrochemical as an example to study the monitoring and diagnostic system based on KingSCADA software. 2. Structure of Flue Gas Turbine Generator Unit The flue gas turbine unit mainly consists of a gas turbine, coupling, reducer, generator, exciter, etc. The gas turbine is YLTV18000GA, the reducer is PHILADELPHIA, the gas turbine generator is Shanghai Electric Machinery Factory QF-20-2, and the brushless exciter is Shanghai Electric Machinery Factory ZLWS6-450*180. The structure is shown in Figure 1. [align=center] Figure 1 Structure of the flue gas turbine unit[/align] Among them, the inlet and outlet temperatures of the flue gas turbine, the cooling water pressure, the inlet and outlet pressure of the flue gas, the vibration of the flue gas turbine and generator, the temperature and axial displacement of the connecting shaft are all important parameters characterizing whether the unit is operating normally. In order to grasp the operating status of the unit, especially the vibration and shaft displacement of the unit, vibration and displacement sensors (mainly non-contact eddy current sensors) are installed on the unit to monitor parameter changes and provide data for monitoring and diagnosis. 3. Design of monitoring and diagnosis system The flue gas turbine operating condition monitoring and diagnosis technology is a comprehensive and highly applicable technology, including three parts: signal detection, feature extraction and fault diagnosis decision. The successful application of KingSCADA software in the field of industrial control provides a good idea for software development. The industrial control software developed using this "flexible" method has good development efficiency and can adapt well to changes in external needs. The main functions of the flue gas turbine monitoring and diagnosis system based on KingSCADA should include: (1) monitoring and data acquisition function. The system communicates directly with peripherals through high-performance, high-speed I/O drivers to achieve data acquisition. Once the data is acquired, the application processes and manipulates the data, and achieves monitoring through animation and data reports. (2) Human-machine interface operation environment. The development system adopts a visual interface and utilizes powerful digital, text, and image processing to provide operators with the most complete human-machine interface. In the operating system, it provides operators with a friendly and intuitive interface to change set values ​​and other key values, and combines them with monitoring data display graphics. It has multiple intuitive discrete value alarms and analog value alarms, and can notify operators of the alarms in multiple ways. (3) Analysis and diagnosis function. This is one of the features of the monitoring, diagnosis, and analysis configuration software. (4) Report function. The system collects data at the rate specified by the user and stores the data in the data file. Users can check the data from the data file and create historical data displays at any time. Figure 2 shows the overall structure of the monitoring, diagnosis, and analysis system. [align=center]Figure 2 Overall Structure of Monitoring and Diagnostic Analysis System[/align] To achieve the functions required by the monitoring and diagnostic system, a new project, "Configuration-Based Smokestack Machine Research," was created in KingSCADA. Three screens—main test, monitoring test, and diagnosis test—were established in the project browser. External devices and important parameter variables were defined, and the database was constructed. Switching to the "Development System," the interface and functional designs were performed using KingSCADA's tools and editing functions. The functions implemented by the system were verified in the "Running System." 3.1 Monitoring System Design The KingSCADA-based monitoring system's running interface is shown in Figure 3. This system can achieve data acquisition, analysis, and display functions. Users can set sampling parameters such as the sampling length of the monitored unit, sampling channels, data retention time interval, and number of groups. The system displays real-time data based on the set parameters, including the inlet and outlet temperatures of the flue gas turbine, cooling water pressure, flue gas inlet and outlet pressure, vibration of the flue gas turbine and generator, temperature and axial displacement of the connecting shaft, etc. Users can intuitively observe changes in important unit data on the interface through waveform graphs drawn from real-time data such as generator vibration and axial displacement of the connecting shaft. [align=center]Figure 3 Monitoring System Interface[/align] Data acquisition, analysis, and display are performed by calling driver programs to operate the hardware. Data acquisition does not directly interact with the hardware but uses driver programs to control it, completing hardware initialization, data acquisition, and transmission tasks related to hardware control. KingSCADA provides pre-packaged device driver modules to handle communication and control processes with the hardware, providing users with a simple interface for easy data acquisition. When monitoring requirements change and new instrument hardware needs to be replaced, only the corresponding driver program needs to be modified, and the new instrument can then operate normally in the original system. A large amount of unit start-up and shutdown data, daily data, and fault data are stored in the database. Database technology embodies the most essential ideas of data processing and is an advanced tool for managing information, serving as the center for data exchange and processing. The database in the configuration software is divided into two types: real-time database and historical database. The acquired data is stored in the real-time database and can be accessed by other external programs through DDE. 3.2 Diagnostic System Design The diagnostic system is built upon the monitoring system. Data is retrieved from a historical database (containing alarms, short-term, medium-term, and long-term data to form a historical archive of equipment operation, which users can access for monitoring) based on user selection. The interface of the diagnostic system, designed based on KingSCADA, is shown in Figure 4. It can realize functions such as alarms, reports, historical curves, and diagnostic analysis. The alarm window records the alarm status of important parameters and the occurrence of important events, allowing users to understand the equipment's operating status. Users can select the reports they want to query on the report query panel for convenient data retrieval. The historical curves allow users to view the changes of multiple variables, dynamically add and delete curves, and the curve variable display list provides statistical information and descriptions of parameter variables. Dynamic curve comparison and curve printing are also possible. To improve the accuracy of equipment fault diagnosis, the system provides analysis modules such as preprocessing, time-domain analysis, frequency-domain analysis, and wavelet analysis, which can be accessed by clicking. To further understand the development of equipment operation, the system provides a trend prediction module, thus making the fault diagnosis system more flexible. [align=center]Figure 4 Diagnostic System Interface[/align] The program code for different functions in the diagnostic system is encapsulated into functions. In KingSCADA, simple "glue code" is written to encapsulate these codes into modules according to the diagnostic system requirements, completing the development of diagnostic analysis functions. The diagnostic function adopts an extensible interface, allowing users to freely expand module functions and facilitating upgrades. The monitoring system and the diagnostic system are both independent and closely connected. This independence allows each part to be reused, improving reusability, and also allows for individual upgrades of a part without affecting the operation of the entire system. 4. Conclusion The author's innovation lies in using the configuration software KingSCADA to study a large-scale tobacco machine monitoring and diagnostic system. This system effectively meets the monitoring and diagnostic analysis requirements of large-scale tobacco machines, significantly improving system development efficiency, allowing for easy expansion of monitoring and diagnostic system functions, and facilitating upgrades. The large-scale tobacco machine monitoring and diagnostic system based on KingSCADA features a user-friendly interface, convenient operation, and stable performance. It can promptly detect early signs of equipment malfunctions, providing a basis for production and maintenance decisions. It is an effective means to ensure the reliable operation of tobacco machine units and prevent serious accidents. The configurable design based on KingSCADA provides a new direction for the development of monitoring and diagnostic systems. 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