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  Corporate Profile > News & Events >

Introducing new Tool Monitoring System...

 
 
 
DataRealm to Introduce new Tool Monitoring System at Industrial Process Improvement Technologies Conference.


(Windsor, ON October 9, 2009) DataRealm Inc. will introduce advanced web-based tool life monitoring software at the unique two day "Automation Rendez-vous 2009 conference that is part of this year's Canadian Manufacturing Technology Show. The conference will run October 20-21, 2009 in the Direct Energy Centre, Toronto, ON.

As part of its implementation of Manufacturing Business Intelligence solutions, DataRealm has developed a tool life monitoring system, known as ToolMon, that is able to:

Predict upcoming tool changes by hourly increments.
Provide immediate tool breakage analysis
Connects directly to cutting machines.
Compare tool life across machines, departments, plants.


"We believe that our product will be very attractive to the market because it is web-based and thus assessable by any type of intranet-connected computer, from laptops to mobile devices. The value of this software is that it can increase productivity and end unplanned downtime. It does this by collecting detailed operational data as tools operate including such critical measurements as time remaining for each tool. This eliminates the guesswork and uncertainty of planning tool productivity," explains DataRealm President Dave Fortin.

He adds, "Data collected from each machine forms a formidable base of historical reports which provide the reliable and comprehensive statistics on tool changes, tool life and tool breakages needed for problem analysis and machine productivity comparisons. It is information of this type that helps operators and engineers understand and reduce tool breakage.



About Datarealm
DataRealm has developed engineering and application development skills in data-centric systems integration and controls engineering for some of the world's largest manufacturers. Its capabilities have facilitated development of considerable expertise in Manufacturing Business Intelligence particularly in the use of technology to improve overall equipment effectiveness (OOE).