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

 

  • Energy Optimization Analytics
  • Predictive Maintenance Analytics
  • Non-intrusive Data Analytics

 

 

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

IMG_9184

PY Konnex

Acts as hub to collect sensing data and transform into informative findings via intelligent analytics model

wireless-signal-1119306_640

Connectivity

Provide high speed, stable connection and low latency for real time monitoring

IMG_9184
wireless-signal-1119306_640

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

Non-stop remotely monitors elevator health condition, applying deep learning AI algorithm with fault detection and predictive analytics
kelly-sikkema-v9FQR4tbIq8-unsplash

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.