Our Building Analytics Software is positioned as an overarching software analytics platform that connects to plant equipment and sensors using open and secure industry standard protocols. ICONICS Facility AnalytiX™ module features an advanced fault rules engine, fully customisable for predictive maintenance and continuous commissioning, advising personnel of preventative actions across facilities management. The software identifies additional fault and alarm intelligence that is conventionally missed within Building Management System’s (BMS), Building Automation System’s (BAS), SCADA, PLC, DAQ and other systems
When equipment failures occur, our advanced building analytics software technology analyses current and historical information along with symptom/cause relationships that the system has been taught. The software executes probability algorithms, and provides the user guidance with a list of probable causes sorted by probability or cost. This immediate guidance reduces mean time to diagnose and repair, reduces equipment downtime, and lowers overall maintenance costs and energy consumption.
See the Screenshots below
Identify issues within the control strategyEasily make changes to the control strategyPin point the exact location of faultsView and prioritise faults based on energy saving costsView historical fault logs to identify trendsGraphically represent energy usageGeospatial view of assets
Identify issues within the control strategy
Easily make changes to the control strategy
Pin point the exact location of faults
View and prioritise faults based on energy saving costs
View historical fault logs to identify trends
Graphically represent energy usage
Geospatial view of assets
Customisable Predictive Maintenance Rules
The unique predictive maintenance fault viewer quickly identifies the most costly faults to reduce downtime and costs to diagnose and repair. With over 300 preconfigured fault rules for the most popular types of Building Automation equipment. Each fault incorporates a rule, associated cost calculations, required points, description, and is completely parameterised to adapt to specific needs.
Customisable parameters and easy-to-understand formula syntax’s allow building managers and engineers to tweak system and equipment parameters to tune up your systems to unparalleled standards. Typically, a minimum of a 10% increase in energy efficiency can be achieved out of the box, with greater potential over time, as the system is further customised to your requirements.
The Value of Continuous Commissioning via Building Analytics
By connecting to existing BMS systems, users gain an advanced level of intelligence that would conventionally remain hidden, without the expensive need for rip and replacing hardware. Retro-commissioning across building assets and equipment requires extensive engineering time and system knowledge.
Continuous Commissioning on the other hand works by constantly comparing data-streams to construction phase building standards. There is no need for hundreds of manual man hours tuning equipment and searching for issues reported by dissatisfied occupants.
BMS Data and Reporting BMS Data Values
Some of the data-streams coming from the BMS includes control signals (e.g. light on/off), sensor readings (e.g. outside vs inside air temperatures), equipment status (e.g. fan speed, damper open/closed) and energy consumption (e.g. kW used). The Fault Detection and Diagnostics engine queries this base data and flags symptom cause relationships that the system has been taught and then flags and prioritises (by probability) likely causes.
Cost saving reports are available on predictive maintenance, addressing equipment inefficiencies before they impact the bottom line. The software can automatically write requests to your maintenance work order systems to ensure data-driven insight is actually acted on.
- Lights left on after normal working hours
- Light sensors staying on with no person(s) in a room
- Comms failures between lights, sensors or devices
- Power consumption varies considerably from the norm
Boiler Analytics Use Cases:
- Boiler is running when it should be shut down
- Hot Water pump not synchronised properly with boiler
- Boiler is cycling on/off too frequently
- Hot water supply temperature is too low/high
AHU + Chiller Analytics Use Cases:
- Compressor cycling on/off too frequently
- Compressor + condenser fans are not interlocked
- Too many mode switches per hour
- Outside air enthalpy too low for mechanical cooling
Get a Free BMS Analytics Demo and Drive Smart Change
Cost saving reports are available on predictive maintenance, addressing equipment inefficiencies before they impact the bottom line. The software can automatically write requests to your maintenance work order systems to ensure data-driven insight is actually acted upon.
With over 6.5 million square feet under one roof, the Pentagon is the world’s largest office building complex. Using O&M Engineering, Inc. and ICONICS HMI/SCADA software, building control management is more user-friendly and effective for Operators.
Applying an “Internet of Things meets Big Data” approach, the team created a data-driven software solution based upon ICONICS COTS software that is slashing the cost of operating the campus’ 125 buildings saving Microsoft millions of dollars.