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.

中文翻译：

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基于多媒体技术的智能图书馆知识创新服务系统

随着信息技术的发展，多媒体技术已受到广泛关注。促进图书馆服务系统中多媒体技术的快速发展，有利于促进图书馆文化的深度延伸。首先，本文分析了现有智能图书馆的理论和要素，并基于其文化延伸机制构建了智能知识创新服务模型。在综合的内生动力机制的基础上，通过建立动态反馈机制，为知识创新服务提供人机交互的信息，材料，技术和环境支持。同时，本文假设了影响智能图书馆知识创新服务的因素，构建了智能图书馆知识服务扩展的影响因素模型。通过大数据平台，通过SPSS和结构方程模型对影响因素进行分析。其次，基于改进的遗传算法和BP神经网络，构建了GA2BP智能图书馆知识创新服务质量的多维优化仿真研究。在MATLAB平台上进行了仿真实验，结果验证了预测模型的有效性和先进性，并预测了各指标值的变化所带来的动态影响结果。最后，在上述研究的基础上，提出了智能图书馆的知识服务和文化推广策略，为我国智能图书馆的知识服务创新提出了切实可行的方法，为智能图书馆的发展提供了技术支撑，提高了图书馆的文化形象。同时，它也为该领域的其他国家提供了宝贵的建议。