SDM - Smart Digital Manufacturing
SDM AI Engineering Platform
SDM AI Engine Specialist

AI Automation Engineer

Describe the process, equipment, operating sequence, production target, existing controls, data needs, and safety context. The engineer gathers missing requirements and builds a preliminary automation architecture, I/O plan, control sequence, integration concept, and verification report.

Expert-system capabilities

Conversational automation requirements intake
PLC/PAC and distributed-control architecture
Sequence, state-machine, and interlock planning
I/O, sensors, actuators, drives, and instrumentation
HMI, industrial networks, data, and diagnostics
Safety review, testing, commissioning, and report

Conversational Engineering Intake

Describe the project naturally

Describe the part, process, machine, production problem, or engineering task in Arabic or English. I will extract what you provide and ask only for the missing critical information.

Engineering tools

Integrated automation-engineering workspace

Automation project inputs

Automation analysis

Control Architecture Advisor

Recommended controller class

Mid-range PLC with Ethernet networking and motion capability

System concept: Automated conveyor and packaging line
4 stations with 2 motion axis/axes require a modular, maintainable program structure.
Include HMI for mode selection, diagnostics, alarms, recipes, manual controls, and production status.
Provide an industrial data layer for historian, OEE, maintenance, or MES connectivity without exposing control logic directly.
Separate standard control, safety control, motion, device interfaces, alarms, and data handling into defined program modules.

Automation Knowledge Graph

Connected process, control, field-device, network, data, safety, and lifecycle knowledge

Processes and operating modes
PLCs, PACs and remote I/O
Sensors and instrumentation
Actuators, drives and motion
Sequences and interlocks
HMI, alarms and diagnostics
Industrial networks and data
Safety, testing and commissioning

Results are preliminary engineering support. Final PLC hardware, electrical design, safety functions, software, cybersecurity, validation, commissioning, and operation require verified manufacturer data, applicable standards, formal risk assessment, testing, and qualified engineering approval.