INDUSTRIAL OPERATIONS INTELLIGENCE
Start from line control — more than a big screen
What an industrial site truly needs is equipment, people, and production processes working together on the same data chain. We start from the current control-center project, first delivering visibility, query, and linkage, then progressively building production, warehousing, quality, equipment, and safety systems.
The project is live and running stably, with ongoing optimization based on operating feedback. The product roadmap is organized as "control center first, with capabilities reserved for phased expansion".
PHASED TRANSFORMATION
No big-bang promise — build capability through measurable loops
Each phase solves one real business problem while reserving a unified object model, interface specification, and data assets for the next phase.
Site transparency
Equipment, lines, environment, people, and alarms all enter the control-center view.
Event linkage
Connect device signals, AI recognition, and human response into a handling chain.
Business collaboration
Progressively integrate production, warehousing, quality, maintenance, and safety processes.
Intelligent assistance
Use agents to query, analyze, and generate tasks — cutting lookup and reporting time — while supporting on-site decisions.
Continuous optimization
Use historical data to find improvement points in takt, quality, energy, and maintenance.
APPLICATION LANDSCAPE
Six composable modules built around the production site
The modules are not six isolated systems but share equipment, material, people, process, event, and work-order models. Customers can adopt them in phases by maturity.
Control & situation
Equipment status, line takt, energy, alarms, and tasks presented in one view.
MES production collaboration
Production-plan release, operation reporting, WIP tracking, and exception collaboration.
WMS warehousing & logistics
Inbound/outbound, locations, inventory, material traceability, and line-side replenishment.
QMS quality closed loop
Inspection standards, machine vision, defect review, and quality traceability.
EAM equipment management
Inspection, maintenance, repair, spare parts, and predictive maintenance.
EHS safety management
Personnel behavior, risk areas, environmental indicators, and emergency linkage.
CONTROL CENTER
The control platform is the unified on-site entry point
Not a simple aggregation of a few charts, but information organized around "status — exception — responsibility — action — result". Management sees the operating situation, dispatchers see tasks, and engineers can trace back to raw signals.
PLC · CNC · Robots · Lines · Instruments · Energy meters
Industrial vision · Thermal imaging · Vibration · Acoustics · Gas · Positioning
SCADA · DCS · MES · WMS · ERP · QMS · EAM
Roles · Teams · Permissions · SOP · Work orders · Communication & alerting
DELIVERY PRINCIPLE
Get the data chain right first, then build deeper AI capabilities
The high-risk approach in industrial projects is introducing AI before equipment, process, and responsibility boundaries are clarified. We put verifiability first.
The central SOE smart-manufacturing line control has been delivered and is running (137+ function points, 10 business domains, full Xinchuang stack, Level 2 classified protection); the current large manufacturing plant control project is live and running stably, with ongoing optimization based on operating feedback.
Connectable, understandable, traceable, and executable are the four basic conditions of industrial-site intelligence. UmodAI · INDUSTRIAL DELIVERY STANDARD
Bring your production-line and equipment list, and we will check the integration conditions.
What can be connected, how long it takes, and where the boundaries are — we provide an initial assessment and implementation recommendation.