Predictive Maintenance AI
Optimize your operations with our AI powered facility management solutions
Challenge
Improving efficiency in Facility Management
Lack of efficiency in facility management and maintenance can lead to
- Increased wait time for patients
- Overconsumption of energy
- Unexpected equipment breakdowns
Solution
Zasti’s Predictive Maintenance and Facility Management Solution
Zasti has built an intelligent predictive maintenance and facility management solution to predict time to failure of equipment. The model processes historical data from :
SLA Breaches
FRMS systems
Existing IT infrastructure
Hospital usage data
Sensor Data
Advantages
Energy Use Optimization
Reduce energy leaks due to faulty equipment and strategically reduce consumption by identifying energy-intensive regions of buildings and times of day
Compliance
Reduce penalties assessed by Govt. mandates for failure to meet SLAs
Real-time Alerts
Receive immediate notifications of unwanted shutoffs or faulty functioning by keeping tabs on equipment
Predictive Maintenance
Predict failure rates within the facility, helps managers to plan maintenance activities
Climate Tech AI Solutions
Carbon Calculators
Zasti uses AI for the Co2 emissions calculator to identify the carbon footprint of the client adhering to EPA, IPCC, GHG Protocol methodologies, and more
Predictive Maintenance of Boilers
Facility management for client’s (hospitals) which had trouble meeting the required response times and over consumption of energy, causing large penalties
Energy Management using AI
Creating a comprehensive energy portfolio, including bulk supply; renewables (on-site and off-site); environmental attributes; demand and supply management; and carbon reduction programs is complicated
Predictive Maintenance and Facility Management
Utilize AI to improve efficiency for facility management: This reduces the response time for impending breakdowns and also minimizes penalties for over consumption of energy
Smart Meters
AI for understanding water/energy consumption needs, nature (domestic, public, commercial, and industrial use) of water/energy demand and water usage patterns
AI for Energy Forecasting
Inaccurate forecasts of annual energy demand results in wastage of energy, supply and demand mismatch, downtime due to unplanned power outages, and overall disruption of a facility
