NEWS A Green Transition in industry: Virtual flow measuring with neural networks With the growing interest to reduce the consumption of resources, measurements must first be taken. Measuring devices such as flow meters are costly to install and require high maintenance which is why there is often only a main meter available. However, this means that the partial uses per installation are unknown, thus, cannot be optimized. To solve this problem, Actemium in Belgium developed a technique that can divide the main consumption into accurate partial consumptions. This technique is based on neural network technology that works as a ‘conventional’ meter. Based on historical data from the main meter, virtual meters are created to map out the partial usages. These virtual sensors are a primary indicator for anomalies in consumption by comparing the predicted sub consumptions and the measured total consumption. During the pilot project, the team has calculated the water usage that could already be reduced by approximately 10%. Apart from energy flows like water, steam (gas), and electricity, this technique can also be deployed for product flows and cleaning solutions flow of raw materials in all kinds of industries. For more information, please contact Greet Lefebvre. CONTACT Latest news Actemium Oil & Gas Australia accomplishes the world’s first Frame 7 gas turbine changeover READ MORE How digital technologies can boost the development of the EV powertrain technology facility READ MORE A Green Transition in industry: Actemium OPS technology to eliminate CO2 emissions READ MORE MENU MARKET SEGMENTS SPECIFIC OFFERS Privacy Policy Legal Notices ©Actemium - All rights reserved 2021 Cookies preference Our website uses technical cookies, analytics cookies and social media & third party related cookies, some of which require your prior consent. See our Cookies Policy Customize Reject all Accept all