Industry 4.0 can learn from old-style computing
longer maintenance cycles means fewer journeys for maintenance personnel , which cuts down on carbon emissions .
Sustainability a key goal of predictive maintenance With sustainability now an issue of utmost importance for businesses , the green gains of predictive maintenance solutions are also very appealing . One company helping on this front is UK-based Freeway Fleet Systems , which provides enterprise-level vehicle assets maintenance and management software .
“ We offer an end-to-end digital solution for vehicle maintenance and compliance , using mobile devices that are synchronised
Industry 4.0 can learn from old-style computing
SAP ’ s Andy Hancock says that when it comes to handling data today ’ s Industry 4.0 world has much to learn from old-school computing .
“ With the huge data capabilities of 5G I think people can get lazy , and end up throwing tons of information around just because they can ,” says Hancock . “ The trouble is , this is how you end up with 50 million data points that flood the network , making it inefficient .”
Like old-school disciplines from 20 years ago , he says : “ Think back to the days of dial-up modems , where everyone minimised the amount of data transmitted , because if you didn ’ t then the whole thing just hung .”
He adds : “ Although computing has changed a lot since the 1980s , the core thing is still data flow . Where was the data created ? Where is it stored ? Who needs to use it ? What ' s it for ?”
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