TK Engineering Oy
Hovioikeudenpuistikko 13 as 3
65100 Vaasa, Finland
Phone: +358 6 357 6300
Data exists everywhere and generated continually by people and things continually. Data applications receive information from a wide array of data sources in industrial operations such as design data, product data (e.g. drawings, manuals, schematics, configuration/SW packages), field data from systems (engine hours, cumulative loads, carried tons, alarms) and field data from people (e.g. exception reports, spare part logistics, maintenance tasks). Data must be intelligently open and managed, meaning that it should be discoverable, accessible, intelligible, assessable and re-usable.
Data delivers valuable and actionable information to people and machines, when it’s combined with analytics. It is important for organisations to determine ways to format data so it can be managed and analysed. Data must transform into usable information in order to create value for organisations. Data applications and the data transfer requirements must be able to gather and structure the data in a way that it will generate the insights and empower the decision makers. Benefits of data depends on how much data is generated and how this data is managed as an asset to the organisation. Well defined data requirements better decisions are made and better results are achieved.
There is incredible potential for intelligent solutions to collect, manage, and evaluate data at the speed of human communications. Data cannot be transferred. Benefits of data depends on how much data is generated, how this data is identified and managed as an asset to the organisation, how this data is turned into usable information, how organisations use this data to make decisions.
Whether it’s more automation, predictive maintenance, increased efficiency, or enhanced product quality – it almost always trace back to sensors. These sensors continuously collect and transmit data, which ultimately sheds light on the functionality of the larger system and allows for decision makers to identify opportunities for improvement. Whether it’s detecting machine idling or issues like air leaks, sensors enable manufacturers to catch problems early on and correct them through maintenance, repairs or upgrades – before they impact productivity.