Chemical dynamic simulation modeling plays an important role in process system engineering and process operation analysis. The establishment of a general dynamic simulation modeling platform for chemical process can greatly shorten the research cycle of chemical process and further improve the production efficiency of chemical process. However, the development of such systems is often accompanied by complex data calculation and transmission requirements, which is greatly limited in practical application scenarios. In order to solve this problem, a chemical dynamic simulation modeling method based on edge algorithm is proposed in this paper. As a decentralized computing architecture, edge computing moves the computing of applications, data and services from the central node of the network to the edge node of the network logic for processing, that is, the large services originally handled by the central node are decomposed, cut into smaller and easier to manage parts, and distributed to the edge node for processing. This method is closer to the user terminal device, which can speed up the data processing and transmission speed, reduce the delay, and meet more the needs of chemical dynamic simulation modeling in practical application scenarios. The experimental part shows the examples of chemical dynamic simulation modeling based on edge algorithm, which verifies the effectiveness of the method proposed in this paper.
CITATION STYLE
Pengpeng, L. (2022). Research on Dynamic Simulation Modeling of Chemical Industry Based on Edge Algorithm. In Communications in Computer and Information Science (Vol. 1563 CCIS, pp. 440–451). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-0852-1_34
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