<p>Energy-saving network security algorithms can effectively reduce energy consumption by optimizing the use of network resources, and also improve the operational efficiency of the network while ensuring network security. In the design of science popularization exhibition halls, the traditional static display method has been unable to meet the audience's demands for interactivity and immersion. The research has adopted the dynamic Time warping (DTW) algorithm and the support vector machine (SVM) algorithm optimized by polynomial kernel function to process and recognize voice signals, in order to optimize the data processing mechanism of sensor networks. Through reasonable sensor layout and optimization of data processing algorithms, the overall performance of the system has been significantly improved. The experimental part verified the accuracy of the system's speech recognition and its anti-interference ability through multiple tests, and at the same time evaluated the effect of the energy-saving network security algorithm in practical applications. The experimental results show that the speech recognition system adopting energy-saving network security algorithms exhibits high accuracy in different noise environments. By optimizing the layout and operation strategy of the sensor network, the overall energy consumption of the exhibition hall is significantly reduced, while maintaining the display quality, enhancing the intelligence and interactivity of the exhibition hall, effectively reducing operating costs, and minimizing the impact on the environment. Therefore, the application of energy-saving network security algorithms in the design of science popularization exhibition halls has significantly enhanced the intelligence level and energy efficiency of the exhibition halls, providing an effective solution for establishing a sustainable science education environment.</p>