How to Streamline Facilities Management in Banks
In August 2020, Toronto-based TD Bank Group announced its intention to become a leader in...
With the ever-growing amount of information produced by increasingly sophisticated building systems, big data can seem like a major headache. So how can facilities management be improved by big data? With intelligent analytics. By combining big data with analytics, data becomes manageable and can yield new insights to enhance and streamline facility systems.
Big data is an essential part of managing commercial facilities’ energy consumption and building conditions. However, unorganized and unprioritized data generated by a complex network of components can be difficult to decipher. The sheer volume of data can compromise visibility into systems and obscure critical information. An intelligent analytics platform allows that data to become actionable and opens up opportunities for transforming facilities management by:
Making it easier to track efficiency, maintenance and operational business goals.
By using an intelligent analytics system created specifically for facilities managers, real-time, actionable insights can be used to optimize operations in prioritized performance areas.
Ensuring optimal equipment operation, effective sensor monitoring, and useful fault detection.
With data that points to system vulnerabilities, maintenance efforts can be efficiently directed to focus on only the devices that are reporting faults at any given time. You can also:
Creating a unified data model that is visible to building operators without having to go through proprietary system contractors.
By using a standardized naming and tagging ontology for normalizing data for the specific aspects of the system where data gathering is important, a clear view of the system's operation can be constructed. With a structured approach, an unorganized and overwhelming volume of data can be leveraged to create a centralized dashboard that provides important insights.
Optimizing and automating analytics.
Valuable capabilities can be gained by going beyond the display of centralized data. Using real-time equipment-specific rules based on pre-defined logic, systems can gain intelligent automation functions in addition to reporting valuable stakeholder information in a user-friendly way.
Providing mobile access and real-time, remote central dashboard insight.
This optimizes visibility of high-priority data and reduces the need for time-consuming site visits.
Leveraging a combination of big data and smart analytics, facilities managers can achieve energy and conservation goals, initiate preventative maintenance assurance, and provide greater assurance on future issues that may need to be addressed. Additionally, creating strategies for and tracking progress toward specific goals such as carbon neutrality, occupant comfort, and air quality becomes easier.
The University of Melbourne in Australia serves as a striking example of how big data and intelligent analytics can improve facilities management. The university—with 200+ buildings across 5 campuses and 8 million+ square feet of space—identified several areas for facilities improvement, including major data integration, energy efficiency, cost savings, and occupant comfort. onPoint Analytics was selected as a custom analytics provider for integrating nine different proprietary systems across the campus.
Through a partnership with a leading systems integrator Controltech, onPoint provides an analytics suite for monitoring and reducing carbon dioxide use, lowering preventative maintenance costs, improving stakeholder comfort, and assisting in the evaluation of mechanical contractors against their performance contracts. While Controltech worked closely with the University’s IT department to prepare for data transfer, onPoint was integrated using secure cloud-based connectivity.
Controltech worked with UM to improve data integration, analytics, and streamline overall building operations. Initial steps involved reviewing on-premise systems that could be upgraded or consolidated. onPoint’s team of experts identified the tags and naming conventions using Haystack standards and onPoint’s reports have become an integral part of the University’s operations and evaluations protocols.
The initial work involved two pilot deployments of onPoint to address issues with specific buildings’ BMS that would not have been uncovered without the use of comprehensive analytics. Controltech used onPoint during these pilots to determine where to direct maintenance efforts, inspecting specific devices exhibiting faults. Historical data was evaluated in order to streamline data flow for future university projects. With the success of the two pilots, University of Melbourne continued its engagement with Controltech and still relies on the analytics provided by onPoint for a growing number of buildings in the university portfolio.
If you’re asking how can facilities management be improved? big data and intelligent analytics are the answer. Facilities management based on simple BMS big data reports without intelligent analytics may lead to inefficiencies and ill-equipped systems. But when operations are seamlessly integrated with the intelligent reporting of onPoint analytics, an increased understanding of system metrics and performance is established, modernizing buildings with a total facilities management platform.
To learn more about how onPoint can help you create a smarter and more efficient building, register for our monthly webinars. Or contact our analytics team to get more information about onPoint and building analytics.
Jon Schoenfeld, PE is Buildings IOT's Director of Energy & Analytics. He's been developing advanced algorithms for building automation applications for more than a decade and he applies his tremendous building expertise as he oversees the team of building scientists creating the onPoint platform.