Data Centre

Detailed Monitoring

  • Putting temperature sensor to all racks are costly
  • Some racks which emit more heat than others might be un-discover due to missing sensor in placed

Energy Hungry Server

  • Some high-performance server might consume higher energy and generate high heat but using smaller rack space
  • Existing energy monitoring system might only able to monitor up to rack level but not into individual server

DCIM Limitation

  • Existing DCIM solution is designed for internal monitoring purpose
  • Rack owner do not have physical view on rack condition due to DCIM data not able to share to external parties

  • With temperature and humidity sensors in place, data centre operator and rack owner able to monitor environmental factor for individual rack level
  • With wireless door sensors for server rack, it will trigger alert notification (SMS / In-App) when server rack is open

  • With Smart Energy Analyser, each rack energy usage and power quality can be tracked

  • Identify if there are hot spot hidden within server farm
  • To optimize HVAC performance based on newly collected data from our sensors
  • Energy billing on individual rack
  • Instant alert notification of any abnormal behaviour
  • Improve customer satisfaction & unique user experience by offering real time rack monitoring tools (mobile apps)

Commercial Building

FCU Control

  • Faulty Thermostat resulted in FCU running at overly chill temperature
  • Wastage of chilled water supply on areas which are not fully occupied e.g. lobby, meeting rooms
  •  Regular hang on FCU valve due to constant valve opening, this resulted in FCU not able to supply chilled air

Delayed Notification & Distant Monitoring

  • No real time alert notification on faulty FCU. Usually facility team will only notice there is faulty on the equipment upon receiving complaint from the user.
  • No centralize monitoring and control system for building facility. Many energy resource being wasted due to insufficient monitoring

High Energy Bill

  • Energy usage not properly keep track and lots of wastages

  • Automate valve control based on the right human comfort algorithm

  • Regulate FCU On/Off based on smart scheduler that tracks energy usage patterns, AC running hours and notifications for predictive maintenance

  • Regulate FCU if there are no human activity

  • Cut down chilled water demand via smart thermostat and human comfort algorithm
  • Optimize pump via smart inverter with scheduler

  • Energy usage is recorded and calculated real time and wastage is identified.
  • Equipment downtime/running hours and maintenance could be predicted
  • Energy consumption of pump and chilled water demand are reduced during non-peak hours

Hotel

High Energy Bill

  • Energy usage not properly keep track and lots of wastages
  • Wastage of chilled water supply on areas which are not fully occupied e.g. lobby, common areas

Delayed Notification

  • Energy usage not properly keep track and lots of wastages
  • Wastage of chilled water supply on areas which are not fully occupied e.g. lobby, common areas

Customer’s Experience

  • Multichannel customer experience strategy that is incomplete/inconsistent
  • Inability to deliver personalized guest experiences

  • Real time energy and environment monitoring, e.g. temperature, humidity, CO2, VOC
  • Light control with motion detection, e.g. control light brightness level or cut off lighting when no activity detected at that area

  • Automate valve control based on the right human comfort algorithm
  • Regulate FCU On/Off based on smart scheduler that tracks energy usage patterns, AC running hours and notifications for predictive maintenance
  • Cut down chilled water demand via smart thermostat and human comfort algorithm
  • Optimize pump via smart inverter with scheduler

  • Remote room registration and check-in
  • Personalized hospitality anytime, anywhere
  • Wireless entertainment & room service

  • Energy usage is recorded and calculated real time and wastage is identified.
  • Manage common building facilities through smart phones and receive real-time alert notification for abnormal behaviour (e.g. security access tempering, high indoor temperature, smoke detection etc)
  • 1 app that serve mobile check-in, wireless appliances control, in-room profile management
  • 1 web that provide a single view of the customer data across multiple integrated systems, e.g. no. of indoor guests, location of guests, guests preferences.

Grain Industry

Conventional Drying Formula

  • No improvement in drying formula and had not been optimized
  • Grain moisture varies from batch to batch, operator need to check grain moisture hourly by manual to avoid over drying
  • Operators might overlook the drying hours due to many dryers and batches running simultaneously
  • Inconsistent drying hours resulted in poor grain quality

Broken Grain

  • Caused by moisture migrating too quickly within the kernel
  • Drying too fast and moisture being added back to dry kernels

Delayed Notification

  • Drying machine performance are not monitored and measured and hence caused unpredicted downtime and loss of revenue

  • Automate the monitoring & control of conventional drying system
  • Provide real time dryers data
  • Provide optimal air flow and temperature to remotely change the set value
  • Constantly change ambient air humidity and grain moisture content

  • Build with cutting edge IoT sensors and in-house machine learning algorithm
  • To process and analyse the input data and transmit the control signal in real-time
  • Instant notification through smart phones on running batch’s expected drying end time or in the event of drying machine failure

  • Improve overall drying capacity by shorten drying time for each batch
  • Improve quality and recovery rate of grain
  • Electricity saving without sacrificing drying performance or head grain yield