Contributing to the efficiency of business hours and cost reduction through the digitalization of the manufacturing process. A diverse lineup of solutions.
Our company offers 'gOES (gPROMS Operational Excellence Solutions)', which digitalizes processes such as chemical manufacturing, pharmaceutical manufacturing, and food production, allowing for simulations. Based on data measured by sensors connected to products and factory equipment, we construct a "digital twin" that enables customers to monitor the health and performance of their production processes in real-time. This contributes to efforts aimed at optimizing operating conditions and more. It is suitable for companies considering the digitalization of manufacturing processes and those looking to understand and improve the state of their production processes. 【Product Lineup】 ■gOLEFINS: Software for accurate measurement prediction and monitoring of ethylene cracking furnaces ■gUTILITIES: Software for utility optimization ■gOILFIELD: Operational optimization of crude oil production systems ■gREFINERY: Operational monitoring of oil refining plants ■gREACTOR: Catalyst reactor model *For more details, please refer to the materials or feel free to contact us.
Inquire About This Product
basic information
By integrating data measured by sensors connected to products and factory equipment into a highly accurate virtual model known as a "digital twin," it becomes possible to monitor the health and performance of physical objects in the real world in real-time. The benefits brought about by the "digital twin" also include the development of new products and the enhancement of services utilizing remote monitoring data. From the insights gained, it is possible to identify potential issues with products and facilities, as well as to conduct remote troubleshooting. In the process industry, improving revenue and production through digital transformation has become a trend. We support our customers' digitalization through advanced process modeling and simulation by PSE. You can watch the video on YouTube: https://youtu.be/UFV6ZnW7Jtk
Price information
Please consult us about the projects you are considering. We will provide a quotation.
Delivery Time
Applications/Examples of results
Companies planning digital transformation/digitalization in the process industry 【gOLEFINS】【gREACTOR】 * Visual multi-sensor for accurate KPI monitoring * Optimization of acetylene converter operations * Prediction of thermal cracking furnace operating time * Optimization of cracking furnace reverse operation 【gUTILITY】 * Optimization of utility allocation such as electricity, cooling water, steam, and fuel * Operational support to minimize energy consumption and CO2 emissions 【gREFINERY】 * Operation monitoring of oil refining plants * Preventive maintenance and operational optimization 【gOILFIELD】 * Optimization of crude oil and gas production facilities Implementation record: A major oil company
catalog（7）
Download All Catalogs
Company information
Founded in 1997 by the gPROMS development team at Imperial College London, PSE became part of the Siemens Group in 2019 and has been providing products and services in Japan as Siemens Corporation since 2023. gPROMS features a powerful equation-based computation engine that differs from traditional simulators, allowing for seamless handling of both steady-state and dynamic simulations. This enables the effective scaling up of models adjusted with experimental data from batch processing for the design and operational optimization of continuous processing plants. With gPROMS's excellent capabilities in custom modeling, parameter estimation, and optimization, it is possible to quickly build optimal manufacturing processes, resolve issues, and achieve optimization.
![[Analysis Case] Calculation of Electromagnetic Force in the Plunger Model](https://image.mono.ipros.com/public/product/image/149/2000060395/IPROS43160246470680152775.gif?w=280&h=280)
![[Analysis Case] Induction Heating Analysis of IH Heaters](https://image.mono.ipros.com/public/product/image/35a/2000766443/IPROS84567671360776414629.png?w=280&h=280)
