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AI Inside

The Industry's First AI-Driven SCADA Application Generation and Data Analysis Platform

The Smart HMI integrates AI SCADA applications—AI-generated pages, AI-generated scripts, and conversational data insight—to build a smart manufacturing innovation base. It realizes a "natural language is the interface" development and operation mode, significantly lowering the technical threshold, improving the efficiency of page design, script development, and data insight processes by more than 80%, helping enterprises focus on business innovation and promoting the evolution of production systems towards intelligence, agility, and standardization.

Zero Threshold

Without any programming experience or technical background, users only need to describe business requirements in natural language, and the system can automatically understand the intent and intelligently generate corresponding visual interfaces or business logic scripts. Whether it is a production line operator, equipment engineer, or production manager, they can easily get started, truly realizing "everyone is a designer".

Rapid Development

Leveraging AI capabilities, the system can quickly generate complete SCADA Human-Machine Interfaces (HMI) and underlying control logic, significantly compressing the tedious manual configuration steps in traditional configuration development. Compared with traditional methods, development costs are reduced by more than 50%, and project delivery cycles are shortened by up to 90%, allowing intelligent monitoring and data acquisition systems to go from "months of deployment" to "hours to launch", quickly responding to production line changes and business needs.

Open Compatibility

The platform natively supports 200+ mainstream industrial communication protocols and equipment interfaces, including major PLC brands such as Siemens, Mitsubishi, Omron, and Rockwell, as well as IoT and industrial bus protocols such as Modbus, OPC UA, and MQTT. It seamlessly connects to the existing industrial ecosystem, avoiding "tear down and rebuild" style system reconstruction.

Intelligent Storage

CMS has a built-in high-performance time-series database engine, optimized for industrial high-frequency data writing and query, capable of efficiently handling real-time acquisition of millions of points. While storing original data, the system automatically associates production context such as equipment status, work order information, shift schedules, and material batches, building structured data assets, laying a solid foundation for subsequent applications using AI for fault diagnosis, energy efficiency analysis, and quality traceability.

Inclusive Analysis

Thoroughly breaking down the technical barriers to data analysis. Users do not need to master SQL, Python, or statistical models. They only need to ask questions in everyday language, and the AI will automatically parse the semantics, retrieve relevant data, select appropriate algorithms, complete modeling analysis, and present the results intuitively in the form of charts, reports, warning messages, etc., making data insights accessible and empowering frontline decision-making.

Application Scenarios

AI-Generated Monitoring Pages

Realizes intelligent generation of monitoring pages, directly addressing the pain points of high communication costs and long manual construction times in traditional development. Users input requirements through natural language, and the system automatically generates static pages with professional layouts and complete elements, supporting quick fine-tuning. Page design is compressed from hours to minutes, significantly improving delivery efficiency. Built-in design specifications ensure a unified style, allowing engineers to focus on core business development, achieving a leap in efficiency, unified standards, and a focus on innovation.

AI-Generated Scripts

Realizes intelligent generation of C# scripts, solving the pain points of high professional requirements, complex integration, and time-consuming debugging in industrial script development. Engineers only need to describe business logic in natural language to automatically generate C# scripts that comply with CMS standards, and provide syntax checking, logic debugging, and repair suggestions. This function increases script generation efficiency by more than 80%, significantly reducing the requirement for programming skills, allowing non-professional engineers to quickly complete system integration. At the same time, automatic comment generation improves code maintainability, greatly shortening the delivery cycle and ensuring production stability.

Conversational Data Insight

Solves the pain points of delayed data acquisition and low analysis efficiency in manufacturing. Users only need to ask questions in natural language to automatically associate multi-source data tables, intelligently diagnose root causes, and synchronously generate visualization charts and diagnostic reports. This function simplifies complex analysis processes into minute-level conversations, realizing data-driven decision-making, helping enterprises improve production efficiency, and allowing frontline personnel to easily complete expert-level analysis.