Zhejiang Lanzhuo Industrial Internet Information Technology

Zhejiang Lanzhuo Industrial Internet Information Technology provides supOS, an open-source Industrial Internet of Things (IIoT) platform designed for digital transformation in the manufacturing sector. The platform enables the integration of multi-source industrial data from various systems and devices, supporting over 300 protocols like MQTT, OPC UA, and Modbus. supOS is built around the Unified Namespace (UNS) concept, which creates a single, centralized source of truth for all factory data, connecting disparate systems such as PLCs, SCADA, MES, and ERP.

The company's business model includes both a free, fully open-source version and a commercial offering with private, on-premise deployment and support services. The platform provides a suite of tools for data collection, storage, analysis, and application development. Key features include a no-code, drag-and-drop canvas for creating data flows and building industrial applications, an AI toolkit with machine learning operators, and a generative UI that can be controlled with natural language. supOS aims to democratize industrial automation by providing enterprise-level functionality without the high licensing fees typical of proprietary systems. While the open-source model provides flexibility and cost savings, it presents a steep learning curve for users without a background in industrial systems and ISA-95 standards.

The platform serves industrial enterprises, software service providers, and other stakeholders within the industrial ecosystem. It is designed to be deployed both on-premise and as a SaaS solution, offering unified login authentication, resource management, and a workbench to integrate various applications like AWS, SAP, and MS365. By providing a standardized, event-driven architecture, supOS helps companies develop applications for predictive maintenance, process control, and resource optimization more efficiently. The system is engineered to be scalable, with a single node capable of handling up to one million tags and 200,000 real-time data points.

Keywords: Industrial IoT, IIoT platform, open source, Unified Namespace, digital transformation, manufacturing technology, data integration, SCADA, MES, MQTT, industrial automation, predictive maintenance, machine learning, no-code development, data contextualization, ISA-95, asset performance management, smart factory, edge computing, time-series database