Standard streaming SQL; 60+ built-in functions including maths, character processing and encoding support; 4 types of time window and count window support; multi-stream JOIN operations support.
Support for x86, ARM and MIPS architectures; Raspberry Pi 3B+ up to 11k/s TPS; support for running thousands of rules simultaneously.
Support for consuming data from data sources such as MQTT broker, EdgeX message buses and HTTP services, sending analysis results via MQTT messages, calling them via HTTP service calls and storing them in time series databases.
Golang plugin mechanism, support for custom functions (UDF) etc.; support for extended access to various data sources and targets.
Edge manager provides a web-based console for online visual editing and management of streaming, rules and plugins.
Based on the Apache 2.0 open source protocol; deep integration with open source edge computing frameworks such as EdgeX Foundry, KubeEdge & Baetyl.
The EdgeX implementation refers to a rules engine that accesses the data produced by the Application service for streaming analysis and invokes the control service for device control based on the resultsRead more
Instances of Neuron, Edge and Kuiper at the edge are centrally managed by Edge Manager deployed in the cloud; the raw or streamed data is then stored in a time series database for further processing of the collected data. This enables online management and updating of data collection, aggregation and analysis logic at the edge from the cloud.Solution Details Start Trial
Huawei Intelligent EdgeFabric (IEF) provides the ability to extend applications on the cloud to the edge through accepting edge nodes, linking data from the edge and the cloud to meet customers' remote control of edge computing resources, data processing, and unified device/application monitoring, log collection and other O&M capabilities in the cloud, providing enterprises with a complete edge computing solution that collaborates with the cloud.Solution Details Start Trial
By monitoring and analysing data from production lines, ERP and MES systems in real time, process and equipment problems can be identified and dealt with in a timely manner, effectively improving the current situation of delayed fault detection, unstable product quality, material waste and high inspection and repair costs. At the same time, the procurement process can be optimised and the inventory controlled, thus reducing the cost of inventory risk and maximising the customer's profitability.
Real-time analysis of the vehicle bus data and related sensor data, immediate processing of the data can be implemented in the vehicle and machine via dynamic rules sent from the cloud. The Kuiper rule engine pushes valuable data to the cloud or local storage, thus the in-car system or the user's mobile app can view the car's status in real-time.
Real-time analysis of data collected from cameras, temperature and humidity sensors and light sensors in the home, implementing automatic linkage and alarms between different devices in the home through the rules engine, sending important results to the user's mobile app via the cloud, enabling instant status management and control of home devices to improve home safety and quality of life.