PREDICTIVE MAINTENANCE
Smartrise's Predictive Maintenance web app optimizes elevator maintenance operations, reducing downtime, extending equipment life, and improving service reliability through predictive analytics. The web app's functionality includes notifying users, through alerts, in the event of a faulty part on a job. Alerts are sent either via email or SMS, according to the user's preference. With Predictive Maintenance, users have the ability to create and view maintenance logs to monitor resolved alerts. The web app also showcases the list of faults and alarms along with their corresponding solutions.
Core Features
|
USER ACCESS CONTROL |
Secure access for authorized personnel |
|
PROFILE MANAGEMENT |
Customizable alert preferences |
|
MAINTENANCE DASHBOARD |
Overview of active jobs and alerts |
|
JOBS PANEL |
Manage and track maintenance jobs |
|
FAULTS AND ALARMS PANELS |
Detailed fault and alarm information |
|
ALERT RULES AND NOTIFICATIONS |
Define and customize alert rules and notifications |
|
MAINTENANCE LOGS |
Record maintenance activities for transparency and analysis |
Benefits
|
CONSISTENT PERFORMANCE |
Regular updates ensure reliable and safe elevator operations |
|
CENTRALIZED DASHBOARD |
View all jobs, alerts, and maintenance activities for efficient management |
|
DETAILED LOGS |
Maintain records of addressed issues for continuous improvement |
|
INSIGHTFUL ANALYTICS |
Track faults and alarms to identify recurring issues and optimize maintenance |
|
STRATEGIC ADVANTAGE |
Positions businesses as industry leaders with superior service reliability |
|
REDUCED DOWNTIME |
Early fault detection prevents malfunctions, minimizing elevator downtime |
|
COST SAVINGS |
Preventive maintenance reduces expensive repairs and extends component lifespan |
|
TIMELY ALERTS |
Alerts via email/SMS ensure quick response to issues, maintaining elevator performance and safety |
Smartrise’s Predictive Maintenance web app is vital for elevator maintenance, enhancing operations, reducing costs, and improving reliability through advanced predictive analytics and real-time alerts.
