Artificial Intelligence | News | Insights | AiThority
[bsfp-cryptocurrency style=”widget-18″ align=”marquee” columns=”6″ coins=”selected” coins-count=”6″ coins-selected=”BTC,ETH,XRP,LTC,EOS,ADA,XLM,NEO,LTC,EOS,XEM,DASH,USDT,BNB,QTUM,XVG,ONT,ZEC,STEEM” currency=”USD” title=”Cryptocurrency Widget” show_title=”0″ icon=”” scheme=”light” bs-show-desktop=”1″ bs-show-tablet=”1″ bs-show-phone=”1″ custom-css-class=”” custom-id=”” css=”.vc_custom_1523079266073{margin-bottom: 0px !important;padding-top: 0px !important;padding-bottom: 0px !important;}”]

ei3 Launches PERSEUS – A Connected AI-Solution for Pneumatic Air Optimization

ei3 announced the launch of PERSEUS, a powerful optimization solution for compressed air, at the 2022 International Manufacturing Technology Show (IMTS) in Chicago. PERSEUS consists of an advanced edge device  and an accompanying Industrial IoT application. The edge device puts ei3’s ConnectedAI to work to help industrial manufacturers save compressed air by developing a consumption baseline that is subsequently used to detect part failures and leaks, and their cause, thereby providing an AI solution for manufacturers to ensure the efficient use of pneumatic air.

Latest Aithority Insights: Detecting, Addressing and Debunking the Hidden AI Biases

PERSEUS has been designed to work perfectly together with the industry-leading innovative Air Management System (AMS) that was recently launched by SMC. The SMC Air Management System easily adds pressure and flow measurement abilities, and a modern data communications tool to a machine’s air preparation assembly. In addition, wireless connectivity permits networking of multiple remote machines to a single base. Using the data stream from SMC devices, PERSEUS is able to analyze the flow and pressure demand of the machines to characterize machine operation, indicate condition-based maintenance needs, and enhance digitalization company-wide.

“Plant operators are already familiar with the high cost of pneumatic air leaks but struggle to find them,” said Spencer Cramer, Founder & CEO of ei3. “With the release of PERSEUS, ei3 is bringing the power of AI to the shop floor and delivering a tool that finds the leaks so they can be fixed. I’m excited about the potential energy savings that PERSEUS will bring to manufacturing.”

Using ei3’s ConnectedAI, PERSEUS monitors airflow in real-time, creating baseline measurements for its usage, and immediately detects changes in machine behavior, lapses, or leaks which lead to over-usage. The PERSEUS AI uses variables such as leak rate, power changes, and machine cycles to identify leaks and monitor machine state and behavior. When optimization opportunities are discovered, PERSEUS immediately notifies an operator. Insights delivered by PERSEUS can also be used to track machine failures, or the effect of wear-and-tear, through identifying changing air usage patterns.

Related Posts
1 of 33,804

AI and ML News: AI: Continuing the Chase for Brain-Level Efficiency

Users who take actions based on the recommendations of PERSEUS can expect reductions in compressed air requirements by 10-15% – a significant energy saving for manufacturers because compressed air consumption generally accounts for 10% of the total energy usage in a plant. Saving a significant amount of energy by reducing air consumption contributes to the overall efficiency of the plant’s operations

Leak detection alone is a cumbersome process today, which is effectively eliminated and automated by PERSEUS. Traditionally, operators apply detection strategies, such as manual scans and older brush and soap techniques. However, these strategies are expensive, wasteful, and ineffective because they rely on available personnel and lack sustained precision due to time pressures.

PERSEUS offers accurate, scalable, and low-cost operation without any additional maintenance. PERSEUS is the latest solution from ei3, aiming toward a more efficient and sustainable future for manufacturing.

AI ML in Marketing: AI and Big Data Analysis Used to Find Brands’ Emotional Connection

[To share your insights with us, please write to sghosh@martechseries.com]

Comments are closed.