Every large civil engineering and construction project suffers from a big, black data hole. The hole where dreaded variations occur- the point at which the contractor states "that's out of scope and is subject to a new statement of work & bill of materials". The customer invariably disputes the bill later stating it never agreed to the variation. Main contractors, sub-contractors and customers are locked in dispute.
Projects can be delayed, go over budget and don't meet original specs.
IoT sensors streaming real-time data, , combined with the effective use of video and still photos will help bridge that gap.
The simple use of video and photo data ingested in, say, HPE IDOL Unstructured Data Search & Analytics can make decisions quicker and more effective. Making these part of the Variations Process by categorising and structuring the data in, say, the HPE Vertica Analytics Platform offers considerable advantage.
Combining the IoT, sensors, streaming data and embedding these in the work flows and processes of large projects would transform the construction industry
The construction industry is responsible for undertaking some of the biggest and most expensive projects on Earth. Huge amounts of resources and work go into major construction projects and of course this means that huge volumes of data are generated. Number crunching has always been a big part of construction – a commonly heard phrase is that construction companies are accounting companies which happen to erect buildings. It’s an industry where 35% of costs are accounted for by material waste and remedial work. So counting the cost of every screw could be the difference between delivering on budget and bankrupting an organization (or several organizations) financing a build.
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