
Maintenance failures and downtime of mission-critical infrastructures cause unrecoverable loss and issues and they are geographically distributed around the country. Collection of meaningful data, communication between these remote locations and datacenter, OT security, the massive size of big data and lack of critical data , near real time AI ML processing that cannot be measured directly are the real issues.
We have developed our own IoT sensor array boxes and we covert remotely big data to meaningful small data . We process the resistance of gas sensors, temperature and rate of flow to detect automatically the deviations and errors in the switching process of on board tap changer (OLTC) and to estimate not directly measurable values ( eg gas concentration in transformer oil)
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