AI & FEATURE DATA ANALYTICS HEADER
part of a distributed IIoT platform . It can improve asset management decision making , operational visibility and control for plants , depots , infrastructure and equipment within asset-intensive industries .
Data types within the IIoT Crucially for a number of start-ups and small businesses , industrial applications provide the opportunity to deploy innovative sensor-based technologies and data analytics services ; offering up the potential for lucrative contracts with enterprise and government supply chains who must collect and optimise vast amounts of data . Below are examples of data types that IIoT devices might collect : here once the internet of things ( IoT ) was just a buzzword doing the rounds in technological publications , it now plays such an active role in our everyday lives , with the data it collects offering priceless insights to help individuals save time , energy , and money . But it is within the scale of entire industries and in the industrial internet of things ( IIoT ), or Industry 4.0 , that integrated software platforms are making transformative operational efficiencies .
According to Gartner , the IIoT platform software that resides on devices — such as controllers , routers , access points , gateways and edge computing systems — is considered
• Automation data ( lights , thermostats , traffic signals )
• Status data is something on or off ? If there are spaces left etc
• Location data package tracking , equipment tracking , lost mobiles )
• Processing IoT Data standardise data to a uniform format , backups , filter out , integrate structured and unstructured data from other sources to enrich data sets
• IoT Data Analytics Applying data analysis tools or procedures to the data types IoT devices generate
• Prescriptive analytics is a combination of descriptive and predictive analysis
• Spatial analytics determines spatial relationship between physical objects , including parking applications , smart cars , and crop planning
• Streaming analytics event stream processing such as traffic analysis , air trafficking , and the tracking of financial transactions
• Time series analytics reveals any anomalies , patterns , or trends , such as healthmonitoring and weather-monitoring systems
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