Built integrally on the intelligent application platform foundation powered by the "AI-Native Industrial Ontology LLM Engine", its full-stack product capabilities are highly configurable and continuously evolvable, empowering customers to build "living and autonomous" intelligent manufacturing systems.
1 Technology Platform + 3 Product Series + N Application Solutions
Based on its core intelligent manufacturing capabilities, Hengyuan Technology extends horizontally to provide comprehensive full-lifecycle equipment services. By building a product ecosystem that includes MOM platforms, supply chain collaboration platforms, and equipment overhaul and maintenance systems, we form a complete value chain spanning R&D and design, supply chain collaboration, production, and after-sales maintenance.
Intelligent Value Chain Collaboration
Built on industrial ontology, we construct an AI-recognizable standardized knowledge system that integrates production, process, quality, and logistics scenarios. This breaks down cross-system and cross-departmental data silos, achieving efficient collaboration and intelligent linkage across the entire value chain.
Full-Process Intelligent Lean Control
Relying on a unified, standardized business model, we enable intelligent parsing and precise dispatch of process instructions. This covers smart monitoring and dynamic regulation across all production execution stages, ensuring a standardized, traceable, and highly efficient manufacturing process.
Full-Lifecycle Closed-Loop Quality Control
We build an integrated smart quality control model covering the entire lifecycle—from quality planning and process monitoring to anomaly alerts and optimization. Through intelligent analysis, we achieve precise issue localization and closed-loop resolution, ensuring consistent and reliable product quality.
Industrial Knowledge-Empowered Decision Making
By accumulating production operations data and building an industrial knowledge graph, we transform data into reusable business knowledge. This shifts operations from being "experience-driven" to "knowledge-driven," enabling process automation and intelligent decision-making.
Relying on a cloud-edge collaborative architecture to connect massive devices, we provide edge computing and highly efficient time-series storage capabilities. Combining visual data insights with deep industry expertise, we build the IIoT platform and the "Production Line Brain" intelligent flexible production line solution to achieve panoramic, intelligent control of production and operations.
MDC Data Acquisition
Achieves ubiquitous connectivity for multi-source heterogeneous equipment with unified multi-protocol adaptation. It captures core data like equipment status in real-time, standardizes and cleans the data, and efficiently aggregates it to support business analytics.
DNC Program Management
Establishes a full-lifecycle management system for CNC programs, enabling version control, secure distribution, and execution traceability. It ensures precise matching of programs, processes, and equipment, enhancing management efficiency and production stability.
Intelligent Digital Workstation
Centered on the workstation, it integrates process parameter dispatch, on-site data collection, operational collaboration, and quality traceability. It bridges the last mile from process design to execution, achieving digitalized, transparent, and highly collaborative workstation operations.
Equipment Monitoring & Alarms
Based on IoT data, it intelligently identifies equipment status and detects data anomalies and potential faults in real-time. It proactively pushes alerts, providing a solid foundation for predictive maintenance and dynamic data support for digital twins.
Relying on meta-models and a robust data foundation, we deeply integrate AI foundation models. By providing precise knowledge retrieval, intelligent analysis, and multi-scenario Agent construction capabilities, we enable workflow automation and highly efficient cross-role collaboration, comprehensively driving the digital and intelligent upgrade of the entire equipment manufacturing process.
Intelligent Inventory Control
Based on full-chain manufacturing data, it enables dynamic inventory monitoring and intelligent demand forecasting. It optimizes inventory structures and replenishment strategies, reducing overstock and shortages, boosting turnover efficiency, and ensuring production continuity.
Intelligent SPC Analysis
Reconstructs the SPC system through a data-driven approach, collecting and analyzing quality data in real-time. It automatically identifies fluctuation trends and root causes of anomalies, achieving closed-loop quality management, mitigating risks at the source, and ensuring stable, traceable product quality.
Intelligent Process Tuning
Fusing machine learning with digital simulation, it enables real-time production optimization and AI-driven predictive modeling. Through continuous monitoring and analysis, it builds a process knowledge base, dynamically optimizing parameters to improve yield rates and reduce process waste.
Intelligent Advanced Scheduling
Relies on neural networks and smart algorithms for Advanced Planning and Scheduling (APS). It integrates multi-dimensional production data, intelligently matches capacity resources, and supports adaptive scheduling for anomalies, significantly improving capacity utilization and on-time delivery rates.
Based on a unified business ontology semantic framework and a multi-modal data foundation, it channels the generalized generative capabilities of AI large models into precise industrial intelligence. It provides a three-in-one smart application development capability—covering business workflows, data analytics, and IoT integration—drastically improving development efficiency and enabling digital systems to proactively adapt to continuous business evolution.
Intelligent Human-Machine Interaction
Natural language is converted into ontology language via AI and accurately rendered by the ontology runtime engine. Driven by user tasks, the system operates like a "search engine," ensuring the "system adapts to the user."
Analytics Algorithm Orchestration
Offers stream-batch integrated real-time and batch intelligent data analytics: algorithm logic and operators are fully orchestratable. Analysis results are written back in real-time to update business applications and trigger business actions.
Dynamic Knowledge Graph
Based on the relational network of data objects naturally generated during application modeling, it automatically creates a dynamic knowledge graph as business data is generated, enabling complex correlation analysis and precise AI reasoning.
Dynamic Business Model
Data fields, behavioral logic, and UI pages of business objects are modeled "visually and data-driven" based on a unified ontology modeling language. Business functions are dynamically constructed at runtime, enabling features to be mutable (dynamically configured by business experts) and evolvable (automatically generated and updated by AI).
About Hengyuan
Industrial Intelligence Service Provider for the Equipment Manufacturing Industry
Hengyuan Technology is a national-level "Little Giant" enterprise (Specialized and Sophisticated) and a National High-Tech Enterprise, providing industrial intelligence services for the equipment manufacturing industry.
With AI-driven industrial data intelligence at its core, the company builds an AI-native Ontological Industrial Foundation Model Engine (OntoPlant OS) that spans from operations and execution to control. By constructing high-quality datasets, industry ontological knowledge bases, and industrial agents, it injects industrial capabilities—including "processes, data, mechanisms, and knowledge"—into the foundation model, empowering enterprises to establish an all-domain AI capability system.
Leveraging the Industrial Foundation Model Engine, the company has developed an "AI New Paradigm" product matrix, including OntoMind (Digital Employees) for ontological meta-model driven data intelligence, OntoPlant (AI+MOM) for business execution intelligence, and OntoLink (Production Line Brain) for equipment connectivity and edge decision-making intelligence. This matrix integrates the entire chain—from data acquisition and edge computing to collaborative manufacturing and intelligent decision-making—creating a next-generation intelligent manufacturing system that is "living, autonomous, and self-evolving," thereby accelerating high-quality digital and intelligent enterprise development.
