PLC DCS industrial automatic control
Digitalization of Industrial Enterprise - PLC DCS industrial automatic control
PLC:swift logic executor
As the core center of production line operation, they are responsible for rapid and
deterministic sequence control. precisely driving various actuators and ensuring
that every step in the discrete manufacturing process is stable and reliable.
DCS:steady process commander
Focusing on continuous and complex closed-loop control, it can adjust key
parameters such as temperature and pressure of industry’s process in real-time.
such as chemical and power. ensuring the stability and safety of production process.
SCADA:overall monitoring observer
Extensively collect full-process data and display it together for monitoring. providing
management with visible production situation picture that supports remote scheduling,
abnormal warning and unified decision-making intervention.
Overall energy optimizing:
Based on real-time energy consumption data across the entire plant. dynamically
adjust process parameters. break information barrier. maximize energy utilization
efficiency. create direct and significant operational cost saving for the enterprise.
Millisecond-level collaborative response:
In the event of equipment malfunction, immediate interlock protection and
multi-level alarms are triggered to facilitate rapid fault localization and automatic
handling, thereby strengthening the production safety and preventing accident escalation.
As the core center of production line operation, they are responsible for rapid and
deterministic sequence control. precisely driving various actuators and ensuring
that every step in the discrete manufacturing process is stable and reliable.
DCS:steady process commander
Focusing on continuous and complex closed-loop control, it can adjust key
parameters such as temperature and pressure of industry’s process in real-time.
such as chemical and power. ensuring the stability and safety of production process.
SCADA:overall monitoring observer
Extensively collect full-process data and display it together for monitoring. providing
management with visible production situation picture that supports remote scheduling,
abnormal warning and unified decision-making intervention.
Overall energy optimizing:
Based on real-time energy consumption data across the entire plant. dynamically
adjust process parameters. break information barrier. maximize energy utilization
efficiency. create direct and significant operational cost saving for the enterprise.
Millisecond-level collaborative response:
In the event of equipment malfunction, immediate interlock protection and
multi-level alarms are triggered to facilitate rapid fault localization and automatic
handling, thereby strengthening the production safety and preventing accident escalation.
Quantity