The Internet of Things (IoT) is widely used in all walks of life. The central idea of IoT is to parameterize the real world and combine with sensing devices, network communication technique, data technologies, and other means to realize the direct usability of the IoT data for users. Based on the Shancheng intelligent gas data management system, this study proposes a hybrid scheme combining the message middleware Kafka and the NoSQL database MongoDB for performance bottleneck of the application service platform in the IoT platform architecture when encounters large scale device access scenarios. The scheme is implemented based on the application background of gas companies and equipment manufacturers, the application service platform concurrency performance and data persistence efficiency are improved.