Summary: | 碩士 === 國立高雄應用科技大學 === 電機工程系 === 100 === Coal and ores are indispensable raw material in steelmaking process. However, there raw materials are unshipped from unloading machines of the pier to the storage yards or blast furnaces. The conveying process will make large amounts of dust pollution so it needs good the equipments of dust-removing and dust-collecting to ensure the surrounding environment not polluted. Therefore how to prevent and control dust pollution producing from process of shipping, unloading, and conveying raw materials to the production line is important issue in steel manufacturing processes. Due to most steel manufacturing processes established in more than decades, the steel manufacturing processes and environment conditions were adequate to the environment regulations at that time. But, the social awareness of environmental protection rises quickly so the old designs of dust-removing of steel manufacturing processes and regulations of dust-collecting law can’t adapt to prevent terms of environmental protection, especially adjusting their parameters. The characteristics of raw materials from different origin cause dust to have different emissions so the parameters of dust-collecting controller vary with the characteristics of raw materials, and correct adaptively by themselves. In order to control the pollutions and collect emitting dusts in operation, industries already have put a lot of dust-collecting equipments to avoid to be punished and affect their corporate image. But most of dust-collecting equipments have been tuned with experience of traditional rules in the design and manufacturing process, and they don’t improve with effective experiments in different environments. Therefore, the tune often doesn’t correspond to requirements of work field.
The purpose of this study is to improve old shortcomings thought in dust-collecting and to expect to improve efficiency in steel manufacturing process. For it, we have installed a sophisticated analog pressure sensor that marks the point of failure in cleaning process and detects compressed air at any time, dirty degrees. And according to the points of failure in cleaning process, the man-machine interface of monitoring system displays its relating facilities to shorten the time of maintenance, clean, and trouble shooting. We also have installed three accurate analog differential pressure gauges that compare the value of the import and export of various chambers and automatically record various chambers which eighteen group of experimental pressure values before and after cleaning. And we use an experiment of application of “Taguchi quality design method” to get a combinatorial parameter of optimal level and regard it as the input parameter of the controller to verify that differential pressure of dust bag clean obviously substantially improvements in auto correcting, cleaning, and controlling system.
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