Owing to the different consumption habits of people, the market has rapidly changed, and customized demands have increased in recent years. This issue has led to the need for manufacturing industry to improve their production-process automation system control to become faster and more flexible. An intelligent automated production-line control system (IAPLCS) is proposed in this study, in which a graphic control system (GCS) is designed to integrate equipment communications in automated production. This system runs complex packaged programs for function blocks, which enable users to easily build function blocks in GCS. Users can plan the control flow of the system to control the machine operation. Not only is a web interface set in the IAPLCS, which makes it easier for users to operate and monitor, but also Internet-of-Things (IoT) sensors can be added for data collection and analysis based on the characteristics of the production line and equipment. Finally, the proposed control system was implemented in an actual production line to verify its feasibility.
An enterprise would get into a disaster state if they take the liberty to develop software without a good risk measurement. Therefore, the measure is very significant no matter for theoretic or practice. However, the measurement is quite difficult because there are many risk factors in process of software development. And, how much is the holistic risk of a project? Balanced the profit gained from the project and the risk, whether is worth to develop it or not? The questions are always scabrous for the corporations and scholars researched in software engineering field. In this paper, we made creatively a definition of risk fusion, and demonstrated the rationality of risk fusion measurement by using information entropy, and developed a model of risk fusion measurement of software development based on information entropy, and answered the former problems, and also provided a model case. The model can be used to measure the risk fusion, which have been proved in practice, and can be used as basis for risk decision-making.
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