Elevator Functional Performance Monitoring

I&T Solution Elevator Functional Performance Monitoring
(REF : S-0701)
Trial Project
Solution Feature
  • 24x7 Remote monitoring of lift conditions
  • Cloud real time monitoring and reporting portal
  • Multiple sensor technology on cloud platform
  • AI algorithm for defect detection and predictive analytics
Trial Application and Expected Outcome
  • Development & Installation: Onsite Installation of the main components including clamp current sensor and lift motor encoder. Post installation, sensors are monitored to ensure the data is clearly captured. Sensor output is connected to the network system and a real-time alert message system is developed. Benchmarking of abnormalities is defined
  • Data visualisation and reporting - All data charts sorted into folders by regions and timeframe. All recorded data are visualized in PDF catalogue reference documents in the cloud-based platform. Periodic reports are auto generated on the cloud platform, summarising inspection findings and performing predictive analysis
  • Real time elevator monitoring is enhanced with AI-analytics and deep learning, allowing the system to rapidly detect abnormalities and continuously improve itself as it gathers more data. Detection of abnormalities prompts an alert, allowing for a quick and remote response. This function will prevent further damage or catastrophic accidents.
  • A continuous assessment to test and optimise the lift monitoring system will run for 1 month. And technical issues will be resolved by modifying and improving the system accordingly. In addition to resolving technical issues the system will be continuously reviewed and any potential for optimisation will be implemented.
  • Acceptance test: By the end of the PoC period, an on-site assessment test shall be carried out. The acceptance criteria would be proposed 1 week in advance for approval and will align with the expected outcome of a non-intrusive system for real time monitoring of lift operation.
Info on I&T Solution Provider
Solution Provider:RaSpect Intelligence Inspection Limited
Address:Unit 308, InnoCentre, 72 Tat Chee Avenue, Kowloon Tong, HK
Contact Person:Harris Sun
Position:Founder and CEO
Tel: 9288 0454
Email: harris.sun@raspect.ai
Webpage: https://raspect.ai/en/

For details of the above I&T solution, please contact the I&T solution provider.