Changning Ltd. / Technology

Sense. Control. Optimise.

Three connected layers bring together industrial perception, equipment control and production-wide planning and optimisation.

01

Intelligent sensing & industrial perception

Industrial point-cloud scan used for three-dimensional measurement of a steel ladle
3D point-cloud sensing for industrial measurement.

Helping machines understand their surroundings.

AI vision · Sensor fusion · 3D measurement · Condition monitoring

We combine AI vision and industrial sensors to identify objects, measure geometry and monitor process conditions.

Sensor data becomes clear, usable information, providing the foundation for equipment control and production optimisation.

  • Multi-sensor perception
  • Geometric measurement
  • Operational awareness
02

Equipment automation & closed-loop control

Turning process requirements into reliable action.

PLC integration · Motion control · Robotic automation · Closed-loop control

We integrate PLCs, motion controllers and robots to turn sensing data and process requirements into coordinated equipment actions.

Closed-loop feedback adjusts operation against target values, supporting repeatable execution and reporting equipment status to production planning systems.

  • Coordinated execution
  • Feedback-based adjustment
  • Repeatable operation
Industrial robot positioned above a cylindrical metal workpiece
Robotic execution supported by sensing and equipment control.
03

Production planning & intelligent optimisation

Production planning / Conceptual overview

Production
goals
Process
knowledge
Operating
constraints
Planning & optimisationScheduling · Resource allocation · AI assistance
Digital twins & scenario evaluationSupport planning and assess alternatives
Approved plans & operating targets
Equipment control systems
Production execution
Illustrative technology workflow; not a live production interface.

Coordinating production. Improving overall performance.

Production scheduling · Resource coordination · Process optimisation · AI-assisted planning

We use production data, process knowledge and operating constraints to schedule tasks, allocate resources and coordinate production.

Digital twins and large AI models support planning. Approved targets guide equipment control, while production feedback informs further optimisation.

  • Constraint-aware planning
  • Cross-equipment coordination
  • Production-wide optimisation

Industry Partners

  • Ansteel Group
  • Siemens
  • Dillinger

Academic & Research Partners

  • Royal Academy of Engineering
  • Imperial College London
  • University of Southampton
  • Technische Universität Berlin
  • Tsinghua University
  • Beihang University

Contact

A clearer view.
A more intelligent industry.