The increasing complexity of plant and factory operations, coupled with growing demands for energy and carbon management, has created an urgent need for integrated solutions. These solutions must not only manage assets and optimize production processes but also measure and reduce carbon emissions, driven by mounting government pressure to achieve smart and green manufacturing with low carbon output.
This technology is tailored for manufacturing plants and energy-intensive industries such as oil and gas, petrochemicals, chemicals, and pharmaceuticals - sectors facing significant challenges to lower operational costs, boost production efficiency, and meet carbon neutrality goals. By leveraging 3D visualization, operational simulation, real-time data collection, and big data analytics, this technology reconstructs the entire production and operational processes through a digital twin. It integrates and replicates data from system upgrades, engineering construction, production activities, and process principles.
The implementation includes the digital delivery of engineering assets, the creation of a digital twin model based on operational mechanics and historical data, and the seamless integration of operational management with energy and carbon management systems through real-time data access. This technology ultimately establishes a cloud-based digital twin platform that enables comprehensive asset management, production workflow optimization, and precise monitoring of energy consumption and carbon emissions, paving the way for developing low-carbon, smart plants.
The technology owner is seeking collaboration with industrial manufacturers, plant operators, energy management companies, engineering design firms, IoT sensor and software providers to co-develop and implement this technology in practical applications, delivering tailored solutions to meet the unique needs of diverse clients.
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This technology offers significant advancements over existing solutions through its BS architecture, which eliminates the need for software installation, enhancing both accessibility and user-friendliness. The platform supports multiple business models and software formats, enabling real-time data integration and carbon accounting in compliance with international standards.