The Platform Of Intelligent Connector Based On IoT

With the improvement of relevant national policies and more companies joining the new energy vehicle market,new energy vehicles will show explosive growth.As a safety guarantee for new energy vehicles,the high-voltage and powerful electric current connectors lack the support of professional manufacturers in China.Most manufacturers still rely on customized research and development as the leading direction,which is difficult to meet the demand of the domestic market.Currently,although the high-voltage and powerful electric current connectors of new energy electric vehicles which are widely used are protected by electrical components such as fuses and relays,but there is a lack of warning of fault connectors.Exceeding the rated parameters will cause components to burn out or even igniting vehicles.In order to meet the rapid development of new energy vehicles,it is urgent to establish a real-time state monitoring and fault warning service platform for high-voltage and powerful electric current connectors.Starting from the IoT application scenario of the connector,this paper designed and implemented a set of complete service platform architecture system from the underlying hardware to the user,which is mainly composed of the data service layer,the basic service layer,the application service layer and the user presentation layer.Firstly,through the EMQ-based data transmission technology,the problem of the reliable connection of the resource-constrained IoT scenario and the high concurrency problem of hundreds of thousands of devices are solved.The data acquisition of EMQ cluster for the connector is built on the basis of the MQTT real-time control protocol of the Internet of Things.The feasibility of the architecture has been verified by stress test.Then,through the ElasticSearch-based time series data storage technology,the storage and query problem of massive data is solved.According to the characteristics of the Internet state data,the time series model characteristics of the connector state data are analyzed.Using ElasticSearch to replace the traditional relational database to build a time series database,and multi-type index is designed to improve the efficiency of cross-latitude query.Finally,through the micro-service-based system architecture technology,the problem of poor scalability of the traditional IoT service platform is solved.According to the micro-service design principle and the layered architecture idea,the Spring Cloud framework is used to implement an easy-to-expand and scalable service platform system architecture.Provides an extended interface for future new components such as deep learning training models and big data storage.At present,the platform is already in the stage of deployment and testing,which greatly facilitates the real-time monitoring of the state of the vehicle connector by manufacturers and users,and ensures the safe operation of the high-voltage and high-current connectors.