Industrial Automation × Industrial Software × Applied AI
Zhengcong Tian
I design and build practical software systems for industrial testing, production traceability, equipment integration and AI-assisted workflows.
Public project interfaces03 / CASES
Selected projects
Three representative systems are shown with public interface captures. Identifiers and local paths are redacted where required.
Explore all projects→Industrial Automation
A production-oriented system centered on firmware programming operations and traceable process records.
Industrial Software
A newly developed Windows FCT station application for outdoor HVAC units, covering model identification, step-based inspection, multi-device communication, real-time judgement, and local result traceability.
Applied AI
An AI-assisted workbench for developing and reviewing menu design outputs within a controlled creative workflow.
Engineering focus
Desktop software and connected workflows for product checks, review, and traceable records.
Programming-station software that connects device operations with identifiable production records.
Practical interfaces between shop-floor equipment, workstation software, and production information systems.
Reviewable AI assistance for defined engineering or content-production tasks.
Technology & interfaces
Specific project stacks remain unpublished until their public scope is confirmed.
Working process
Understand the operation, users, equipment, constraints, and definition of done.
Define boundaries, interfaces, data movement, review points, and failure handling.
Implement the smallest end-to-end engineering flow that can be validated.
Connect field, embedded, desktop, MES/OPC UA, or AI components as required.
Check the system against the actual workflow and known operating constraints.
Prepare a clear handoff with system notes, limitations, and next actions.
About the engineer
My primary experience is in industrial automation software, testing systems, equipment communication, and practical AI tools. I work from operational requirements through implementation, integration, validation, and handoff.
Latest insights
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View insight topics→A future engineering note on records, process boundaries, and reviewability.
A future overview focused on integration responsibilities rather than protocol marketing.
A future note on reviewable assistance, human decisions, and controlled outputs.
Technical collaboration
A useful first message can include the operating context, existing systems, known constraints, and the kind of engineering support you need.
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