Without IoT technology support, automotive manufacturers may struggle to optimize their production processes, leading to inefficiencies, wasted resources, and increased costs.
Without real-time data collection and analysis, it can be difficult to identify and address quality issues in a timely manner, leading to product defects and recalls.
Consumer demand for cars is also constantly changing, and they are paying more attention to aspects such as safety, convenience, comfort, and environmental performance of cars, which also prompts automakers to continuously improve product design and production processes.
Without real-time data on production equipments, automotive manufacturers may need to perform more frequent and costly maintenance to ensure equipment reliability, leading to increased costs.
EMQX IIoT solutions can help meet the digital transformation needs of the automotive manufacturing industry by providing efficient and flexible access to data from heterogeneous industrial equipment.
Neuron, the edge industrial protocol gateway software, supports various industrial protocols such as Modbus, OPC-UA and most mainstream PLC protocols enabling efficient data access from various equipment. The real-time data collected is processed at the edge using eKuiper, a lightweight edge streaming processing engine, which provides high-quality data source for edge AI inference services. The lightweight deployment and SQL-based edge streaming data processing effectively reduce cloud-side transmission costs, enabling real-time data response at the edge.
EMQX provides large scale data access and provides various data interfaces, data persistence, and message queue integration capabilities, along with standard RESTful APIs for external application integration. This enables integration with other business systems such as ERP and CRM, allowing for more valuable analysis results. With EMQX ECP (Edge to Cloud Platform)，EMQX IIoT solution can easily manage multi-location, multi-Cluster distributed deployment, providing flexible and diverse edge cloud data channels.