| Name: | Tarun Bangia |
| Affiliation: | ARIES, Nainital |
| Conference ID : | ASI2024_750 |
| Title : | Development of monitoring platform for equipment of 3.6 m DOT |
| Authors : | Tarun Bangia |
| Authors Affiliation: | ARIES, Manora Peak, Nainital, Uttarakhand. |
| Mode of Presentation: | Poster |
| Abstract Category : | Facilities, Technologies and Data science |
| Abstract : | Operation of 3.6m DOT at ARIES is supported by various mechanical equipment that need planned maintenance to facilitate smooth operations. Scheduled upkeep of equipment reduces failures but increases maintenance time and costs. The identification of probable issues before they cause breakdowns in operations is critical for saving time and costs. Predictive maintenance facilitates anticipation of potential failures in equipment for taking appropriate corrective actions. The advent of smart systems is now paving the way for predictive maintenance schemes to decrease downtime and associated costs. A dynamic and user-friendly platform is being developed to monitor the performance of 3.6m DOT mechanical equipment for their increased availability in supporting telescope operations. The platform serves to track the upgrades and maintenance tasks. It is provided with specific equipment-related features to create alerts and provide useful information for the safety of equipment. The platform will facilitate managing scheduled works and assigning relevant tasks to respective individuals for suitable engagements. Users can maintain data and a comprehensive history of all past activities. It will serve to considerably improve the performance of different equipment for consistent astronomical observations. The monitoring of equipment will provide real-time data to monitor and enhance operational efficiency thereby reducing breakdown costs. A preliminary testing phase of the system was carried out for predictive analysis and it will be integrated with machine learning in the near future. The platform has the potential for further optimization. The platform is structured to allow future expansions for enabling equipment monitoring and safe operations |
