Development path of digital cultural industry by integrating proportional integral and differential algorithm from the perspective of cultural innovation

Issue title: High-Performance Computing

Guest editors: Achyut Shankar

Article type: Research Article

Authors: Zhou, Lingling^a | Li, Wanchun^a | Qiao, Yu^{a; *} | Zhang, Miaomiao^b | Qiu, Xiaoli^a

Affiliations: [a] Information Technology and Cultural Management Institute, Hebei Institute of Communications, Shijiazhuang, China | [b] Journalism and Communication Institute, Hebei Institute of Communications, Shijiazhuang, China

Correspondence: [*] Corresponding author: Yu Qiao, Information technology and Cultural Management Institute, Hebei Institute of Communications, Shijiazhuang 051430, China. E-mail: qiaoyu8702@outlook.com.

Abstract: The digital culture business benefits from quick technical updates, digital manufacturing, communication networks, and customized consumption, which promotes new supply and consumption. The innovation and development of the digital cultural industry cannot be separated from the physical industry. The efficient production of the physical industry can ensure the innovative development of digital cultural industry. Therefore, to improve the production efficiency of physical industry, this research proposes a temperature control model combining whale optimization algorithm and fuzzy proportional integral differential algorithm based on the traditional temperature control in ceramic firing and wine making process. Firstly, fuzzy control theory is used to improve the proportional integral differential algorithm, and a fuzzy proportional integral differential model with adaptive adjustment function is established. On this basis, to quickly confirm the optimal parameters of the proportional integral differential model, the whale optimization algorithm is introduced to further optimize its weight factors. It was verified that the temperature control adjustment model combining whale optimization algorithm and fuzzy proportional integral differential model was 2.77 s, which was shortened by 1.11 s, 2.37 s and 3.13 s, respectively than the other three models. Therefore, the constructed temperature control model can effectively realize high-precision intelligent temperature control in industrial production, laying the cornerstone for promoting the innovative development of digital culture industry. The proposed model can improve the production efficiency of physical industries, promote digital transformation, and optimize the innovative development of digital cultural industries.

Keywords: Cultural innovation, PID, fuzzy control, whale optimization, digital culture industry

DOI: 10.3233/IDT-240028

Journal: Intelligent Decision Technologies, vol. 18, no. 4, pp. 3075-3089, 2024