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 Smart 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.