This update brings several new features and optimizations, further enhancing NeuronEX's capabilities in industrial data collection, data processing and combining with AI.
This version significantly enhances NeuronEX's capabilities for data collection, processing, and management in industrial environments, introducing new features and optimizations across the board.
In this blog, we’ll break down the data stack for IoT applications and explore how it works across different real-world scenarios.
In this blog, we will explore the role-based access control feature in NeuronEX. This function allows users to create various roles, each with distinct operational privileges, thereby achieving privilege isolation and enhancing the security, compliance, and flexibility of user data.
This update brings a host of enhancements and improvements in data collection, analysis, and management, further bolstering NeuronEX’s capabilities in the IIoT sphere.
The rule testing feature of NeuronEX allows users to simulate data inputs in a secure environment, test and optimize data processing rules, and identify and resolve potential issues in advance.
The latest version provides users with new features and enhancements to improve data collection, analysis, and management capabilities.
This blog will delve into SECS/GEM and discuss how to leverage its power through a real-world example.
This article explores a real-world client example of the seamless integration of NeuronEX and EMQX, demonstrating their combined ability to streamline data collection, management, and processing for improved steel production.
NeuronEX adds analytical features on top of Neuron, offering not only equipment data acquisition but also edge intelligent analysis, especially in the realm of AI/ML.
EMQ provides a unified MQTT platform that addresses key issues such as data collection, transmission, secure network gateway communication, and data storage and analysis. This ensures the stable and efficient operation of wind power systems.
We will demonstrate using Neuron to collect data from the LibIEC61850 simulator, uploading the collected data to a locally-built EMQX MQTT Broker.