Automated control and centralized supervision of critical kitchen equipment in multi-site restaurant operations
Food & RestaurantsHVACEnergyFire ProtectionWater

Automated control and centralized supervision of critical kitchen equipment in multi-site restaurant operations

How a fast-food restaurant operation went from manual, decentralized, and reactive control to automated, proactive management with centralized visibility over kitchen equipment, exhaust fans, and electrical consumption across multiple locations.

Location
Bogota, Colombia
Scale
5 locations
Assets
7 component types
Gateway
Phantom Shield L3
Summary

A fast-food restaurant operation with multiple locations relied on manual controls and on-site inspections to supervise critical kitchen equipment, ventilation exhaust fans, and electrical consumption. Reveal centralized the supervision of these assets, automated scheduled start-ups and shutdowns, and enabled proactive alerts that allow intervention before a failure escalates.

01 — The problem

The operation of multiple restaurant locations relied on manual controls to supervise the status of critical kitchen equipment, manage the start-up and shutdown cycles of exhaust fans, and verify electrical consumption at each site.

This dynamic created several concrete operational frictions:

Bain-maries operated without continuous temperature or water level monitoring, exposing the equipment to overheating or dry running, with direct impact on corrective maintenance costs.

Exhaust fan start-up and shutdown depended on on-site staff, without an automated mechanism or thermal overload detection, generating operational inconsistencies between shifts and locations.

There was no centralized visibility into the electrical behavior of each location, preventing identification of inefficiencies, consumption spikes, or pattern deviations.

Management had no ability to supervise or intervene remotely, forcing reliance on on-site travel and manual reports.

02 — The operational signal
Temperature out of range in bain-maries

deviations above or below expected operational thresholds, indicating possible malfunction or lack of maintenance.

Low water level in bain-maries

a condition that precedes dry running and equipment damage, detectable before the operator notices it visually.

Thermal overload in exhaust fans

thermal relay activation indicating excessive motor stress, anticipating a mechanical or electrical failure.

Non-compliance with start-up/shutdown schedules

discrepancy between the defined operational schedule and the actual equipment state, indicating dependence on unexecuted manual action.

Spikes or deviations in electrical variables

atypical behavior in voltage, current, or accumulated consumption that may signal inefficiency or grid risk.

03 — How Reveal detects and analyzes it

Reveal centralizes information from each connected asset at the locations, monitors critical variables continuously, detects relevant events, and records historical traceability to identify conditions requiring intervention.

In this case, the platform:

Receives continuous temperature and water level data from each bain-marie through the Phantom Shield gateway, comparing them against defined operational ranges.

Monitors the contactor and thermal relay status of each exhaust fan, identifying out-of-pattern activations or overload conditions.

Executes schedule-based automation from the Phantom Shield, controlling equipment start-up and shutdown according to the operational program defined in the platform.

Records electrical variables at the boundary of each location — voltage, current, accumulated consumption — as a basis for energy efficiency analysis.

Generates automatic alerts when it detects deviations exceeding configured thresholds, channeling operator attention toward exceptions.

04 — What decision it enables
  • Reveal's value is not in visualizing data, but in enabling specific operational decisions. In this operation, the team can:
  • Prioritize inspection of bain-maries showing temperature deviation or low level, instead of reviewing all equipment by routine.
  • Escalate to preventive maintenance upon thermal overload signals in exhaust fans, before greater damage occurs.
  • Verify compliance with operational schedules without depending on manual reports from on-site staff.
  • Focus exclusively on locations with active exceptions, instead of supervising all sites with the same level of effort.
  • Identify energy efficiency opportunities from actual consumption data per location, instead of estimates or averages.
  • Coordinate operational response across locations from a centralized point, without the need for on-site travel.
05 — What it improves

Operational result

Reduced manual burden

start-ups, shutdowns, and routine verifications are automated or concentrated on exceptions, freeing on-site staff time.

Greater visibility

management and the operations team have continuous access to the status of each piece of equipment and each location, without depending on on-site reports.

Faster response

automatic alerts allow intervention upon deviations before they escalate to failure or operational loss.

Better prioritization

the operator focuses on assets with exceptions, instead of distributing attention uniformly across all locations.

Centralized management

supervision and control of multiple locations is consolidated into a single platform, reducing dependence on travel.

Business result

Lower exposure to critical failures

early detection of risk conditions in bain-maries and exhaust fans reduces the probability of costly damage.

Greater operational continuity

cycle automation and continuous supervision reduce unplanned interruptions in kitchen operations.

Better team scalability

the centralized model allows supervising more locations without proportionally increasing the operations team.

Foundation for energy efficiency

electrical data collected per location enables informed consumption optimization decisions.

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