Scenario-specific Data Structure Optimization Study of Big Data Processing Algorithm Based on IoT Technology

With the popularization and deep development of the application of IoT technology in China, the degree of integration of various industries has taken a leading position globally. Among them, the efficiency of information processing of big data models has become a core challenge. In specific scenarios, such as smart city, smart home, industrial IoT, etc., the efficient processing of big data plays a larger supporting role in improving system performance and user experience, and how to optimize the data structure is crucial for improving the performance of IoT big data processing. In this study, the data structure optimization research is carried out for the information processing logic algorithm in the IoT big data model in specific scenarios. Based on the research of the IoT information processor heat dissipation performance project, this study deeply analyses the characteristics and requirements of IoT big data processing, and determines the key points and objectives of optimization, aiming to improve the efficiency and response speed of data processing. In addition, a typical IoT application scenario is selected in accordance with the actual requirements, which involves a large amount of real-time data streams and requires an efficient data structure to support fast data insertion, querying and analysis.