"AIoT" means "AI + IoT", which is the integration of artificial intelligence technology and the Internet of Things in practical applications. The real-time business perception and control capabilities provided by the Internet of Things combined with the intelligent service capabilities provided by artificial intelligence can provide new business scenarios for many industries. These industries take the combination of AI and IoT technology as a channel for industry upgrades.
In the market based on IoT technology, there are more and more diverse scenarios for device-to-device and device-to-human interaction. The new scenarios of smart interconnection cover various industries such as smart home, smart office and smart medical. The addition of artificial intelligence technology can be used for the intelligent processing of various types of information such as user behavior analysis, user portraits, environmental analysis. It has self-learning, self-adaptation, and self-improvement capabilities. It actively provides services suitable for users without waiting for users to provide demands. It makes the interaction mode of Internet of things application scenarios more intelligent.
Artificial intelligence technology builds models through a large amount of data. Internet of Things technology can provide richer real-time data for artificial intelligence algorithms so that artificial intelligence model algorithm training can obtain more high-quality data sources. Continuous training and improvement of artificial intelligence model algorithms will also better serve business application scenarios.
EMQ's massive device real-time access capability can simultaneously support the aggregation of real-time data from millions to tens of millions of devices to the system platform, and dock with the AI training system through a high-throughput data bridging solution. It provides real-time and scenario-based data sources for AI model algorithm training and makes the algorithm model more robust.
EMQ provides a low-latency messaging and control channel between smart devices running on the edge and cloud services. It establishes a real-time and stable data channel between devices and cloud services, and between devices and devices. Based on artificial intelligence algorithms running on the edge and the cloud, the intelligent interaction between devices and services is realized, which provides a guarantee for high-frequency interaction scenarios such as smart homes and smart service robots.
The edge streaming data processing engine provided by EMQ combines cloud data access and cloud-edge collaborative management services to provide AIoT scenarios with flexible push of cloud-trained artificial intelligence algorithms to the edge. In a scenario where the cloud AI model is constantly iteratively updated, it provides basic software support for edge device streaming data processing and algorithm docking and remote algorithm rapid update.
It provides massive device access capabilities of million-level concurrency with a single machine or ten-million-level concurrency with a single cluster.
It supports high-throughput data access and forwarding capabilities
It provides cloud-to-edge algorithm push capabilities for edge stream data processing and cloud-edge collaboration
An IoT data access platform based on EMQ X provides a stable and efficient data access service for an intelligent service robot company, helping it to reach more than 5000 end customers.Learn More →