| In the context of the rapid development of the Internet,there are many technologies that change people’s lives,among which the internet of things becomes particularly important and use scenarios become more and more abundant because of the development of 5G and mobile network technology with the goal of improving people’s living environment.The business scenarios of the IoT are very complex,and there will be massive data in the perception layer,If there is no verification of the legality of the equipment,there may be hazards such as information leakage,therefore,it poses some challenges to the real-time data processing,device identity verification and concurrent data processing capabilities to the IoT platform.Nowadays,all major IoT platforms on the market have their own solutions for processing data and device authentication information,and there is no unified standard yet.This research aims to design a system that can reasonably verify the identity of the device and efficiently process concurrent real-time data.This paper analyzes the research status at home and abroad,and analyzes the solutions of some domestic IoT platforms in detail.Combining the needs of the Industrial Internet of things and fire-fighting IoT for heterogeneous data access,it designs and implements a IoT data access and distribution system with equipment legality verification.The whole system is divided into authentication module,data access module,hot update module,data processing and distribution module and system management module.The authentication module use MQTT protocol to transfer the certification information and cerify device legitimacy.The access module integrates a variety of network protocols,and parses and adapts to a variety of IoT device protocols,and transmits them through asynchronous message queues after unified processing.The hot update module updates the version service of the access module without downtime through multiplexed ports to avoid losses caused by downtime.The processing and distribution module uses a variety of flexible distribution methods to perform different operations on the processed data.The system management module allows business personnel to use a visual interface to manage and operate the equipment through the background management system.Finally,the system is deployed in a high-availability cluster through Kubernetes container cloud technology,and a disaster recovery mechanism is added to make the system more stable and enhance the robustness of the system.In this paper,the function and performance related tests of the complete process of the system are carried out after deployment.The results show that the system has very good high concurrency and strong real-time data processing capabilities.It has good stability and scalability in the IoT environment with a large amount of real-time data. |
