Russell Controls provides electrical-controls and data-acquisition engineering through a clear tiered service model. Clients can engage us for system studies, control-panel design, PLC/HMI programming, SCADA integration, or a complete turnkey controls package. From sensor to dashboard, Russell Controls provides the best options to fit your next project.
Request Consultation View SCADA MembershipsFive sellable offerings, one continuous methodology. Whether you need a second set of eyes on a legacy system, a single remote panel, the software to run hardware you already own, or a complete control system commissioned and signed off — there is a tier scoped exactly to that.
Know exactly what to build before you spend a dollar on hardware or software.
A clean, documented, factory-tested panel — ready for program download.
The brains of your system — logic and operator interface, bench-verified before it ships.
The complete controls scope — delivered, installed by your trades, commissioned to a signed SAT.
Turn your existing system into a live, trending, alarming data source — without touching the underlying controls.
A fully managed historian-as-a-service — database, dashboards, alarm response, retention, and license management, supported by the engineer who built the system. This is not a bare software license; it is your data, watched and maintained.
After a review confirms your controllers, network, and servers can support the stack, Russell Controls integrates a continuous time-series database (InfluxDB) monitored through Grafana and supports it as an ongoing managed service. It serves both new builds and the far larger market of existing systems that need nothing more than a modern monitoring layer.
A controls budget is easy to defend once it is compared against the right number — not the cost of the project, but the cost of the system not running. Below is what published industry research says about unplanned downtime, and how a SCADA / historian layer turns that exposure into preventative maintenance, faster troubleshooting, and data-driven control upgrades.
Reactive maintenance is widely estimated to cost several times more than the same task performed planned — once emergency labor, premium parts, collateral damage, and lost production are included.
Continuous trends on vibration, temperature, motor current, and runtime hours reveal a bearing, valve, or VFD degrading long before it fails. You convert an unplanned outage — with its emergency parts and overtime — into a scheduled task during a planned window. Across an installed base, that shift is where the 30–40% maintenance savings cited above actually come from.
When something does go wrong, a SCADA historian is the difference between a guess and an answer. Multi-year, high-resolution data lets you replay the exact sequence that led to a trip, correlate alarms with process conditions, and diagnose remotely — cutting mean time to repair from days of hunting to minutes of reading. The longer the system runs, the more valuable that record becomes.
Real operating data de-risks every upgrade. Tune PID, lead/lag, and ramp-and-soak against actual load profiles instead of nameplate assumptions; size new equipment to how the plant truly runs; and prove a new design improved throughput or energy use with a hard before / after baseline. Data turns a control upgrade from a leap of faith into a measured result.
Siemens / Senseye, The True Cost of Downtime (2022). Reports that unplanned downtime costs the Fortune Global 500 an estimated 11% of yearly turnover — on the order of $1.5 trillion annually.
U.S. Department of Energy, Operations & Maintenance Best Practices Guide. Estimates that a functional predictive-maintenance program can yield savings of roughly 30–40% over a reactive (run-to-failure) maintenance approach.
Deloitte, predictive maintenance / smart-factory analyses. Associates predictive maintenance with approximately a 10–20% increase in equipment uptime and availability and meaningful reductions in maintenance cost and planning time.
Plant Engineering, Maintenance Study. Identifies aging equipment and equipment failure as the leading cause of unplanned downtime in industrial facilities.
Figures are public industry estimates and vary widely by sector, asset, and plant. They are presented as directional context for the value of monitoring and modern controls — not as guaranteed results for any specific facility. Savings for your system are scoped during a consultation.