Industries

Niagara 4 engineering across industries

Every sector has its own equipment, protocols and pressures. The underlying need is the same: systems that talk to each other, and data people can act on.

Discuss your site

Commercial buildings

Mixed-vendor systems, tenant expectations and portfolio reporting — often across buildings of very different ages.

Typical challenges

Several generations of controllers from different vendors in the same building
Tenant utility costs recovered by estimate or spreadsheet
Portfolio energy and carbon figures assembled by hand for every report

How we help

Integration that brings older equipment into the same station as new
Sub-metering and tenant billing generated from station data
Energy analytics and ESG reporting built on tagged, auditable data

Industrial plants

Process equipment, PLCs and utilities that were never designed to share data with the building system.

Typical challenges

PLCs and machine controllers speaking industrial protocols such as EtherNet/IP, Siemens S7 or OPC UA
Legacy serial equipment with little or no documentation
Compressed air, chilled water and steam energy that is not metered by line or process

How we help

Drivers that bring PLC data into Niagara as native points — read-only first, writes only where they are safe
Protocol analysis for undocumented equipment
Utility metering and load profiling by line or process

Data centers

Availability comes first, and efficiency is measured in every kilowatt of cooling.

Typical challenges

Power, cooling and environmental monitoring split across separate systems
SNMP, Modbus and BACnet devices from many vendors
Cooling efficiency that drifts unnoticed between audits

How we help

One station monitoring UPS, PDUs, cooling units and chillers together
Efficiency metrics such as PUE calculated continuously from tagged points
Fault detection rules for cooling equipment, ranked by energy impact

Healthcare

Critical environments where temperature, humidity, pressure and air changes are requirements, not comfort settings.

Typical challenges

Pressure relationships and air-change rates that must be demonstrated, not assumed
Operations that cannot tolerate disruption during upgrades
Ageing infrastructure running alongside new wings

How we help

Trend and alarm reporting for critical spaces, evidenced from station histories
Passive, staged integration: captures do not touch the equipment and cut-over happens in maintenance windows
Fault detection that flags drifting equipment before it affects a critical room

Campuses

Universities, schools and institutional estates: dozens of buildings, decades of equipment, one operations team.

Typical challenges

Buildings added over decades, each with its own system and naming
Central plant data and building data that never meet
Estate-wide energy targets with no consistent way to measure progress

How we help

Supervisor-level integration and consistent tagging across every building
Central plant analytics connected to the buildings it serves
Campus dashboards and measurement and verification for capital projects

Energy & utilities

Metering, distributed generation and demand management — where the data itself is the product.

Typical challenges

M-Bus, DLMS/COSEM and Modbus meters deployed at scale
Solar, storage and generation assets monitored separately from the loads they serve
Demand charges and peak events that are only visible on the bill

How we help

Bulk meter integration with automated read validation
Load profiling and peak-demand visibility from interval data
Streaming meter data to enterprise platforms over MQTT or Kafka

Don’t see your sector?

If it has equipment that needs to talk, we can probably help. Tell us what you’re working with.

Get in touch