Data-based Validation and Accountability
Human expertise. Transparency. No more guessing.
Outcome-based Fault Detection (OFD) addresses the shortcomings of today's common fault detection and diagnostic (FDD) services. Built on our Epiphany inference engine, OFD not only remedies the inherent shortcomings of today's FDD solutions, but completely redefines the space.
OFD is offered as a managed service and delivered in cooperation with your onsite facilities team, incorporating prioritization of faults and issues, ticketing work for prioritized faults with full client override capabilities, and data-based validation of the effectiveness of work performed into one comprehensive service.
Epiphany Inference Engine
OFD is built on the Epiphany inference engine. Epiphany allows OFD to focus on relationships amongst data instead of a library of known fault conditions. Because of this, OFD does a few things that are inherently different and complementary to a typical FDD solution.
- Focuses on the relationships amongst data and assets - to each other and to the building
- Ignores what should be to uncover the actual relationships
- Stores and leverages system histories over days, weeks, months, and years
- Learns as it goes with algorithms that are trained by actual findings
Streamline and Act
Outcome-based Fault Detection (OFD) is flexible enough to support all of your buildings —whether they have poor quality data or have unique system requirements— to get to the heart of why today’s fault detection solutions don’t deliver what your facilities team really needs to excel.
- Offered as a managed service to complement your team’s expertise and capabilities
- Focused on outcomes and relationships to see what is driving energy consumption, regardless of its source instead of a library of inflexible rules
- Flexible enough to support clients with poor quality data and unique systems
- Eliminates the deluge of daily faults that are largely ignored by building operators due to lack of resources
- Cuts out the high cost of defining and writing rules that identify faults
- Enhanced by BuildingIQ’s network operations center operators and building experts who triage and diagnose faults, track anomalies, and record findings for posterity
- Translates faults and anomalies into diagnoses, and diagnoses into concrete actions and manageable planning
- Transforms facilities teams into proactive problem solvers that keep operating and energy costs down and tenants comfortable
- Empowers facilities teams to better operate buildings in the face of poor data and the inevitable undocumented tweaks, retrofits and overrides intrinsic in a living building system
Magic Happens In The Cloud
Fault detection systems of yesterday inundate facilities teams with data and guesswork. That’s why they’re mostly ignored. But they’re not entirely useless. BuildingIQ’s OFD service springboards off basic fault detection and diagnostic (FDD) solutions by layering on intelligence —in the cloud— based on cutting edge data science. And because it’s science, the tools we use are always evolving and improving.
Influence
Our operators use a tunable map to identify which pieces of equipment have the most impact on your building’s energy consumption. To dive into root causes we can account for changing weather patterns and focus on how each point is influenced by operational and occupant changes. Influence changes over time and we capture that too. Not just for today or the last week like a typical BMS, but for any date range comparison from days to weeks to periods from different years.
Why it mattersMost existing FDD solutions can only deliver a rough guess of the associated costs of ignoring a fault, but can’t begin to know why you should care. Influence mapping uncovers the data points and assets that impact the energy consumption of a building. This lets us move beyond a reactive alarm to symptoms of the problem, and instead begin to identify the deeper root cause driving complex system responses and prioritize acting on them based on their impact.
Delta-T
Comfort is a key component of the Epiphany engine. Delta-T creates a heatmap of zone target temperatures and zone temperatures. We correlate this map with anomalies and faults to weight the priority of taking corrective action. Delta-T is also used in conjunction with the Comfort Module of our mobile app to understand how effective optimization strategies are with tenant satisfaction.
Correlation
Correlation mapping uncovers how data and assets really interact —revealing the full impact of a fault to help prioritize corrective action. Using our correlation map our engineers can visualize the relationships between every point and system. This allows them to deep dive into the root cause, and stop chasing symptoms.
Features & Benefits
Features
- A managed service offering - providing the heavy lifting of analytics, prioritization, root cause, ticketing, and validation
- A multi-layered approach to fault and anomaly detection using industry-standard rules, innovative machine learning, and flexible manual review.
- End-to-end process spanning from data ingestion to issue resolution and M&V reduces handover issues and ensures that identified issues are not only actioned but also produce results.
- Flexible prioritization informed by both quantitative and qualitative impacts, tailored to the site’s needs.
- Implementation support to plan and schedule projects using “triggers” or opportunities to bundle projects with existing retrofits, monthly control sub- service visits or plan in upcoming budget cycles.
- Convenient communication through mobile ticket tracking, monthly reports, and regular meetings with the support team.
- Tracking issue-level savings to confirm resolution and persistence.
- Captures and stores information around finding, analyzing, diagnosing, and validating of faults and anomalies for future reference.
- Tracking issue-level savings to confirm resolution and persistence.
Benefits
- Enables under-resourced Facilities Management teams to have BuildingIQ engineers as an extension of their own team and target resources where they can make the most impact.
- Provides a proactive approach to planning predictive maintenance and fully utilizing triggers such as change of use, retrofits or equipment replacement (capital project opportunities).
- Finds deeper, multi-system issues that affect building energy or performance. Works with limited data and helps clients build enhanced data pipelines to better inform and control.
- Uncovers the relationships among assets and data to provide more complete impact analysis for taking actions.
- Builds a foundation for enhanced control strategies.
- Captures institutional knowledge about your system for leverage in the future and de-risks personnel and vendor transitions.
The OFD Pipeline - Actionable Intelligence
BuildingIQ’s OFD service works on the cadence of detecting, prioritizing, and validating system faults, most of which would go undetected without the deep analytical insights the platform affords.
Multi-layered Fault Detection
Manual oversight with three layers of automated fault detection:
- Human monitoring
- Industry-standard rules
- Advanced machine learning analytics
Intelligent Prioritization
- Influence algorithms augment human expertise for prioritization with
- Qualitative analysis determines occupant sensitivity or reputational impact for actions
- Quantify energy, comfort, and equipment impact
- Leverage client knowledge
- Output actionable work tickets (using BuildingIQ’s ticketing solution or yours)
Implementation Support
- Building engineers work closely with the team to troubleshoot issues
- Account for budget cycles, upcoming retrofits, space use change or equipment upgrades to prioritize and plan work to capitalize on these opportunities
Expert
Validation
- Completed tickets are reviewed by our operators to validate resolution
- Years of data retention enable historical comparisons —especially useful for long-cycle-time issues
BuildingIQ Subscriptions
Ready to Get Started?
BuildingIQ's services are sold as a monthly subscription. It is generally cash flow positive within the first year of implementation and requires minimum upfront capital to get started.
