In the design phase, the solution builds process models to support flare system design optimization, equipment selection and verification, control strategy validation, compressor dynamic analysis, and process safety (HAZOP) assessment, helping identify potential issues in a virtual environment, optimize process flows, reduce investment costs, and improve engineering design quality and intrinsic safety levels.
In the startup and commissioning phase, the Operator Training System (OTS) built on dynamic models can simulate and verify startup plans, and functionally test control logic and safety interlock systems, effectively reducing on-site commissioning risks, shortening startup periods, and facilitating smooth unit commissioning.
In the phase of production and operation, the solution continuously calculates optimal operating conditions through the online real-time optimization (RTO) system, achieving energy conservation, consumption reduction, and efficiency improvement while ensuring stable unit operation. Based on real-time data and process models, the system can complete production calibration, abnormal condition analysis, performance prediction, and material balance checking, and provide quantitative basis for technical upgrades and planning optimization. Base on this , the solution further integrates the SimTech Intelligence agent, deeply combining process simulation technology, large language models, and rich process experience, capable of understanding user task requirements and autonomously executing complex process analysis workflows. Once the agent is integrated with production systems, clients can drive it through natural language commands to complete analysis tasks using real-time operating data, outputting structured reports, thereby providing efficient and continuous intelligent support for process tuning, anomaly diagnosis, and production decisions on top of RTO real-time optimization.
This solution takes process models as its core and data as its driver, achieving knowledge accumulation, process optimization, and safety enhancement through deep application of digital twin technology at each project stage, providing sustainable digital value support for engineering design and production operations.