With the development of information technology, multimedia technology has been widely concerned. Promoting the rapid development of multimedia technology in library service system is conducive to promoting the deep extension of library culture. Firstly, this paper analyzes the theories and elements of the existing intelligent library, and constructs the intelligent knowledge innovation service model based on its cultural extension mechanism. On the basis of the comprehensive endogenous dynamic mechanism, through the establishment of the dynamic feedback mechanism, the information, material, technology and environmental support of the human-platform-human interaction are provided for the knowledge innovation service. At the same time, this paper assumes the factors influencing the knowledge innovation service of intelligent library, and constructs the influencing factor model of knowledge service extension of intelligent library. Through the big data platform, the influencing factors are analyzed by SPSS and structural equation model. Secondly, based on the improved genetic algorithm and BP neural network, the multidimensional optimization simulation research of knowledge innovation service quality of GA2BP intelligent library is constructed. The simulation experiment is carried out with MATLAB platform, and the results verify the effectiveness and advancement of the prediction model, and predict the dynamic influence result brought by the change of each index value. Finally, based on the above research, the paper puts forward the knowledge service and cultural extension strategy of intelligent library, and puts forward practical and feasible methods for the knowledge service innovation of intelligent library in China, which provides technical support for the development of intelligent library and improves the cultural image of library; at the same time, it also provides valuable advice for other countries in this field.
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