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.
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
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
Not just only to string things together, also make devices and elevator equipment can interconnect and exchange data and perform instructions
Provides a system for remotely monitoring and tracking the performance of elevator unit
Utilizes artificial intelligence technology to elevator data analysis contributing for optimized predictive maintenance and fault diagnostic of elevator assets
Connects with the back-end cloud server for data storage and exchange through 4G Wi-Fi wireless network connection
Use cramped non-intrusive sensors to obtain the electrical signals information about different elevator objects anytime and anywhere
Address the risk of elevator operation as well as the identification of real time health status and faults signals pattern
Support different elevator’s generations ,
models, and brands
Clarify electrical frequency pattern variation which caused by the elevator starting and stopping
Measure the electrical signals with clutching on the power cables and transmit real time data to the Cloud
Acts as hub to collect sensing data and transform into informative findings via intelligent analytics model
Provide high speed, stable connection and low latency for real time monitoring
Measure the electrical signals with clutching on the power cables and transmit real time data to the Cloud
Acts as hub to collect sensing data and transform into informative findings via intelligent analytics model
Provide high speed, stable connection and low latency for real time monitoring
Pong Yuen Elevator Health Monitoring system (PYEHMS) integrated current and historical status of different elevator parts, e.g., Motor, brakes, safety circuit, doors, etc.
Collecting and analyzing historical performance data and the ability to analyze huge volume of data through machine learning approach could drive the efficiency and improve the service quality
Use of new technology for property management, such as sound sensor recognition to measure the sound of the water pump machine and the water flow through water pipes to different flats, and the heat sensor recognition temperature for continuous monitoring the water supply system
Analyze performance data and learns the normal behavior of system
Use of new technology to predict faults and performance degradations of different property facilities, such as monitor the water supply machine system in reducing the physical losses (e.g. water leaks and pipe bursts)
Improve the efficiency of property facilities and simplify the maintenance procedures
Collecting and analyzing historical performance data and the ability to analyze huge volume of data through machine learning approach could drive the efficiency and improve the service quality
Use of new technology for property management, such as sound sensor recognition to measure the sound of the water pump machine and the water flow through water pipes to different flats, and the heat sensor recognition temperature for continuous monitoring the water supply system
Analyze performance data and learns the normal behavior of system
Use of new technology to predict faults and performance degradations of different property facilities, such as monitor the water supply machine system in reducing the physical losses (e.g. water leaks and pipe bursts)
Improve the efficiency of property facilities and simplify the maintenance procedures
Working Hours
Monday – Friday
9:00a.m. – 6:00p.m.
Saturday – Sunday
-Closed-
Units 1312-1313, 13/F., Building 19W,
19 Science Park West Avenue, Hong Kong Science Park,
Pak Shek Kok, New Territories, Hong Kong