Power transmission & distribution professionals have some of the most widely distributed and remote assets to build, maintain and repair. Utilising current practices - maintaining accurate and up-to-date information on every asset they manage is time consuming, labour intensive and costly.
Partner TodayCurrent assessment techniques are both expensive and slow to execute due to the need to the time required to to do physical inspections. SiteSee's web accessible software applies Artificial Intelligence processing to drone captured data, enabling infrastructure owners to make informed decisions, reduce operational costs and improve safety. Our end-to-end solution covers everything from flight planning, drone pilot scheduling, and the application of analytics for accurate and timely decision making
Committing humans to inspect sites scattered over thousands of kilometres is a major undertaking. SiteSee utilises reality modelling techniques to construct 3D digital twins of each structure - including insulators, cross arms and spacers. By identifying as-built conditions and comparing against OEM specifications, SiteSee quickly and accurately identifies damaged equipment. Through machine learning, this information provides valuable predictive maintenance data for informed decision making.
Utilising 3D reality modeling techniques, SiteSee's captures and automatically identifies insulators using Artificial Intelligence. Any deviation from the “As-designed” records will be detected and reported. The dimensionally accurate position in the 3d model will allow for further longitudinal analysis. Once a base line has been determined, predictive failure analysis will be used to forecast failure rates.
Understanding pole top assets and condition is vital for effective management of power distribution. The latest “PoleSee” technology from SiteSee, is a Artificial Intelligence driven tool to perform equipment audit and condition assessment for pole top assets. Automated equipment counting and condition assessment of cross-arms, insulators and pole are now possible. Entire power portfolios can be automatically categorised and counted accurately and reliably. Stay tuned for release date.
