Make your buildings smart through IoT and big data analytics
The roll-out of the Internet of Things (IoT) enables organizations to make existing buildings smart. Technology is no longer a barrier. Low-cost wireless sensors can measure almost anything today and new wireless technology (e.g. LoRa) facilitates the installation of these sensors without the need for power, cabling or even WIFI connectivity.
The data captured from connected buildings can be used to:
IoT big data can help you measure ongoing performance, provide real-time guidance to users and predict outcomes through pattern recognition and trends analysis. The trick is to gather the right data for what you want to optimize for.
A successful approach starts with defining key improvement areas and picking relevant scenarios. MCS brings a scenario development methodology that translates pain points into specific use cases, enabled by smart building technologies.
Integrated analysis of data from sensors, IWMS/CAFM software, and other sources allows facility services and interventions to be driven by the realities on the ground, instead of being executed according to pre-defined schedules.
Getting from big data to actionable intelligence is more than a technology project however: it requires the right analytics tools and close collaboration between data scientists and workplace design, facility services or energy management specialists.
MCS brings a combination of advanced technologies and deep domain expertise that enables you to gain insight into performance drivers and to innovate your workplace and service management.
Sensors (presence, movement, ambient conditions, etc.)
User mood feedback
Building Management Systems (BMS)
Other enterprise applications
Public benchmarking data
Data capture, cleansing, normalization, aggregation
Data integration (real-time and historical data, structured and unstructured data)
BI: converting data into actionable intelligence, multi-level performance monitoring and optimization
Spatial representation and data visualization (floor plans, flows, occupancy, heatmaps, etc.)
Visualization of data for better insights
Analytics: discovery of data correlations across data sources, pattern recognition, predictive modelling, scenario development
Trigger smart actions through IWMS/CAFM (work orders, reservations, service alerts, corrective maintenance, etc.)
Fine-tune technical equipment in real time
Bidirectional sensors for light settings, HVAC tuning, etc.
Enable new scenarios across different domains
Closing the loop: planned versus actual scenarios
Drive workplace experience, service delivery and real estate performance