To utilize new AI high-tech technologies into property buildings and facilities to enhance the productivity with customized integrated solutions, resources manipulation and other IoT (internet of Things) technologies to operate the resources more effectively.
Energy Optimization Analytics
Improve energy optimization in property buildings and utilities through big data capabilities
Improve energy optimization in property buildings and utilities through big data capabilities
Leverage IoT and prediction analytics to monitor the resources productivity
Reduce maintenance expenses through advanced condition based monitoring and fault prediction
Customized technical system for monitoring large variety of devices with collection of large volume of big data
Perform data exchange, and data analytics processing with AI technologies
Inno-Tech Elevator
Technology
Machine learning
Utilizes artificial intelligence technology to learn the normal and abnormal findings of elevator which optimizes the monitoring system continuously in order to enhance competency of detection and predictive analytics
Internet of things (IoT)
Not just only to string things together, also make devices and elevator equipment can interconnect and exchange data and perform instructions
Real Time monitoring
Provides a system for remotely monitoring and tracking the performance of elevator unit
AI Analytics
Utilizes artificial intelligence technology to elevator data analysis contributing for optimized predictive maintenance and fault diagnostic of elevator assets
Cloud Application
Connects with the back-end cloud server for data storage and exchange through 4G Wi-Fi wireless network connection
Non-intrusive sensor technology
Use cramped non-intrusive sensors to obtain the electrical signals information about different elevator objects anytime and anywhere
Inno-Tech Elevator
Application
Health and safety risk identification
Address the risk of elevator operation as well as the identification of real time health status and faults signals pattern
Multi brand compatibility
Support different elevator’s generations ,
models, and brands
Findings interpretation
Clarify electrical frequency pattern variation which caused by the elevator starting and stopping
Hardware
Non-intrusive Sensor
Measure the electrical signals with clutching on the power cables and transmit real time data to the Cloud
PY Konnex
Acts as hub to collect sensing data and transform into informative findings via intelligent analytics model
Connectivity
Provide high speed, stable connection and low latency for real time monitoring
Non-intrusive Sensor
Measure the electrical signals with clutching on the power cables and transmit real time data to the Cloud
PY Konnex
Acts as hub to collect sensing data and transform into informative findings via intelligent analytics model
Connectivity
Provide high speed, stable connection and low latency for real time monitoring
Software
Deep Learning Elevator Health monitoring and fault identification system
Graphical user interface visualization
Pong Yuen Elevator Health Monitoring system (PYEHMS) integrated current and historical status of different elevator parts, e.g., Motor, brakes, safety circuit, doors, etc.
© 2021 PONG YUEN HOLDINGS LIMITED.
Working Hours
Monday – Friday
9:00a.m. – 6:00p.m.
Saturday – Sunday
-Closed-
Visit Us
Units 1312-1313, 13/F., Building 19W,
19 Science Park West Avenue, Hong Kong Science Park,
Pak Shek Kok, New Territories, Hong Kong