Bring supported electricity-meter readings into FoundryX with meter identity, timestamps, units, quality flags and process context—without manual logs or unexplained dashboard totals.
The exact connection depends on manufacturer, model, software or firmware, documented interface and plant network. Compatibility is proven with representative source data before scope acceptance.
Assess documented Modbus TCP or serial registers when the meter vendor provides an approved register map, scaling and communication settings.
Receive approved values from an edge gateway, PLC, SCADA or historian through a documented API, database or export boundary.
Store cumulative and interval energy with timestamp, unit, multiplier, meter quality and reset or rollover context.
Capture supported demand, power factor, voltage, current or phase values only when the meter and accepted register map provide them.
Associate meters with furnaces, compressors, utilities, departments or logical boundaries using effective-dated mappings.
Expose stale values, communication gaps, counter resets, negative deltas, impossible spikes and mapping changes for review.
The value comes from controlled operating records, explicit exceptions and accepted ownership—not from connecting a device alone.
Interval readings can be aligned with accepted heat and process windows to support analysis, while allocation rules and shared loads remain explicit assumptions.
Stale readings, phase imbalance indicators or communication gaps can generate review tasks without pretending the integration diagnoses electrical faults.
Plant meter totals can be compared with bill-period boundaries using documented multipliers and exclusions; the utility bill remains the commercial source unless agreed otherwise.
FoundryX can present approved energy baselines and EnPIs when formulas, boundaries, normalization factors and data-quality rules are governed.
A spike can be traced to meter, interval, source quality and mapped process context before anyone labels it as waste or equipment failure.
Each meter, gateway and poller has an owner, address, register map, sampling rule, credential boundary, health status and recovery procedure.
Every transition has a named source, validation rule, audit event and recoverable exception path.
Approve meter identity, location, multiplier, units, register map and process ownership.
A supported meter, gateway or historian provides cumulative or interval values with timestamps.
The connector checks communication, sequence, units, scaling, rollover, quality and duplicate conditions.
FoundryX records accepted values with source, meter, interval and quality context.
Approved formulas produce trends or EnPIs; gaps and anomalies remain visible for investigation.
What changes when supported source data enters a controlled FoundryX workflow instead of being retyped or reconciled later.
These are design controls to verify for the specific equipment and operating context, not blanket promises.
Begin with a representative source sample and an agreed mapping workbook. Record every field, identifier, timestamp, unit, status, owner and transformation. Test normal operation alongside duplicate, missing, delayed, malformed, unauthorized and offline scenarios. Reconcile source counts and values to FoundryX after initial load, retry and recovery. Classify each capability as standard, configured, vendor middleware, custom, manual fallback or unavailable. Production release should require signed user acceptance, role review, support ownership, monitoring, backup, rollback and a controlled change procedure for device firmware, source format, network, rule or FoundryX version changes. Dashboards and automated decisions remain provisional until their source boundary, formula, exclusions and exception treatment are approved by the responsible operational owner.
A supported meter, gateway, PLC, SCADA or historian provides readings through a documented interface. The connector applies the accepted register map, unit and multiplier, preserves source and receive timestamps, identifies duplicates or gaps, and stores the reading against a governed meter boundary. FoundryX can then present trends or approved energy performance indicators without hiding data-quality status.
It can support an allocation when meter boundaries and time windows are suitable and the foundry approves the formula. Directly metered furnace consumption is stronger evidence than allocation from a shared feeder. Heat start and end times, standby load, overlapping processes, missing intervals and shared utilities must be addressed before the value is treated as operational evidence.
Share meter manufacturers, models, register maps, gateways, sampling needs and process boundaries. Quantbit will document the interface, data-quality rules, security boundary and acceptance scenarios.
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