[心理學(xué)]置換蒸煮論文：置換蒸煮dds過程蒸煮終點軟測量的研究(編輯修改稿)
2025-02-14 12:46 本頁面
【文章內(nèi)容簡介】 king endpoint is to rely on kappa number and other influencing factors. However, online direct detection of kappa number is very difficult as the plexity of the cooking process, a soft measurement scheme of kappa number was proposed based on artificial neural network to indirectly measure kappa number and determine the endpoint of cooking process. Kappa number was selected as the output variable of model and H factor, sulfidity and the effective concentration of alkali were selected as input variables of the , two approaches were used for soft measurement model by RBF neural network and BP neural network in this article. On the basis of the model, its application in the DCS control system was introduced. SIEMENS S7400 PLC was chosen as hardware development platform and WinCC and Step7 software were selected as software development platform in DCS. In order to monitor and operate the entire pr
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