Real-Time IoT Data Processing for Energy Intelligence
Ficode engineered an event-driven AWS architecture that receives telemetry from connected commercial buildings, processes incoming readings and delivers usable data to energy-analysis services and engineer-defined anomaly rules.
The project in context
Commercial buildings produce data through meters, HVAC equipment, lighting and building management systems. Ficode engineered the AWS event-driven processing layer between those building systems and the platform’s analytical services. Incoming telemetry is routed, prepared and supplied to downstream consumers.
Different building systems. Inconsistent readings. Demanding data flows.
The client needed usable telemetry from several types of building equipment, each producing information in different forms. Collecting readings alone was not enough: the platform also needed a way to route and process events before consumption comparisons or anomaly rules could use them.
The challenge Before
Different sources
Building systems produce varied readingsProcessing requirement
Raw telemetry needs routing and preparationAnalysis demand
Consumer services need usable dataWith Ficode Connected Approach
Ingest telemetry
Receive readings from connected equipmentRoute and process
Use an AWS event-driven data pathDeliver usable data
Supply trends, comparisons and rulesBring readings in. Process events. Supply the right services.
Ingest
Connected meters, mechanical systems, lighting and building management networks supply readings to the platform’s event-driven ingestion layer.
Route
The event-driven architecture routes incoming telemetry into the processing path so that each reading can move beyond initial collection.
Process
Processing components turn incoming events into information the platform’s consuming services can use for energy analysis and comparisons.
Deliver
Processed data reaches downstream services and supports evaluation of engineer-defined rules, schedules and thresholds for configured anomalies.
From connected building readings to energy intelligence
Building systems
Meters, HVAC, lighting and BMS telemetryAWS processing
Ingests, routes and prepares eventsPlatform consumers
Energy analysis and anomaly rulesCONNECTED OUTCOME
Building readings move through an event-driven AWS processing path into the services that support consumption trends, comparisons and engineer-defined anomaly evaluation.
A usable data flow for energy analysis
Event-driven collection
Readings from different connected building systems enter a defined ingestion and routing path rather than stopping at collection.
Data prepared for analysis
The processing layer supplies usable telemetry to services behind consumption trends and performance comparisons.
Support for anomaly evaluation
Processed readings can be evaluated against engineer-defined rules, schedules and thresholds used to identify configured anomalies.
Clear system responsibilities
Telemetry processing remains distinct from the separate building integration functions used to execute commands and read back responses.
Confirmed technology and implementation scope
AWS event-driven ingestion, routing and processing; connected building telemetry from meters, HVAC, lighting and BMS; downstream energy analytics and anomaly rules.
