Intelligent decision-making cloud service method and system for numerical control grinding processing of camshaft
A technology of intelligent decision-making and grinding processing, which is applied to the parts of grinding machine tools, metal processing equipment, grinding/polishing equipment, etc., can solve the problems of low efficiency of knowledge reuse, instability, and difficult process decision-making, and achieve high efficiency and intelligence The effect of grinding, improving efficiency and accuracy, and solving difficult process decisions
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Embodiment 1
[0029] Embodiment one: if figure 1 As shown, the present invention provides an intelligent decision-making cloud service method and system for camshaft numerical control grinding, including steps:
[0030] Step 1: Analyze and obtain information on intelligent decision-making requirements of camshaft grinding process for cloud manufacturing, and establish an intelligent decision-making demand model, including data management, data security, process decision-making and other requirements;
[0031] Step 2 According to the intelligent decision-making demand model, the user defines and inputs demand information at the user layer such as PC terminal, processing equipment terminal, mobile device terminal, etc.; the basic data and empirical knowledge can also be browsed or downloaded through active query;
[0032] Step 3: By parsing and matching the task requirement information, assign corresponding service authority to the user, and call the corresponding module in the camshaft grindin...
Embodiment 2
[0040] Embodiment two: if figure 2 As shown, there is a nonlinear relationship between the description of the camshaft grinding process problem and each attribute parameter of the process solution, and the neural network model has nonlinear mapping capabilities, so the parameters that affect the grinding process can be reasonably selected, and the grinding process can be established. The neural network model between the description of the grinding process problem and the process solution is used to solve the grinding parameters of the optimal process plan through the network model. Use the empirical data in the case library as the training samples of the network model to automatically learn and obtain a reasonable weight threshold.
[0041] In the neural network model of camshaft grinding process, the grinding environment is determined, and the nonlinear modeling is only carried out for the processing results produced by the same type of different processing schemes in the sa...
Embodiment 3
[0045] Embodiment three: as image 3 As shown, the overall framework and functional modules of the camshaft NC grinding process intelligent decision-making software are designed. The camshaft grinding process intelligent decision-making software starts from the definition of process problems and is completed in an interactive way. Combined with the basic database and process knowledge base, based on examples The hybrid reasoning mechanism of artificial intelligence algorithm and artificial intelligence algorithm solves the process problem and obtains a new process instance. And the automatic programming of the new process example is carried out to guide the actual processing. (1) After the user is authorized, enter the main interface of the software through the login interface; (2) Define the processing requirements; (3) Enter the example optimization module to obtain the old examples similar to the new process problem; (4) If not satisfied The similar old examples of process...
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