Test Smart Meters at Scale

Comprehensively validate smart metering platforms across devices, configurations, networks, and real-world field conditions.

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Smart Metering Testing is Hard

Smart metering platforms fail in the field due to device diversity, legacy protocols, extreme network conditions, and limited lab setups.

Diverse Device Types

Different meter models behave differently and require extensive scenario coverage.

Smart meters vary by configuration, firmware, communication method and payload structures. Labs cannot host all variants, leading to inconsistent tests and missed defects across customer environments.

Legacy Protocol Constraints

Older protocols behave unpredictably under load.

Legacy protocols complicate testing due to inconsistent message rates, device limits, and gateway constraints. Reproducing protocol edge cases is difficult with manual or basic simulators.

Field Network Realities

Remote deployments face unstable connectivity.

Field installations experience latency, drops, jitter, and packet loss. Replicating these in a physical lab is nearly impossible, resulting in surprises during customer rollouts.

Limited Load & Scale Testing

You cannot simulate real-world device counts.

Testing for thousands of meters pushing telemetry together is not feasible with physical devices, leading to unknown performance ceilings and unvalidated platform bottlenecks.

High Dependence on Field Teams

Teams rely on partners for device access.

Lab testers often depend on channel/field teams to supply devices or logs, resulting in delays, partial coverage, and inconsistent validation cycles.

Virtualize Meters. Simulate Reality. Validate Everything.

Doppelio eliminates device dependence and lets teams model any meter, simulate any data pattern, and run unlimited tests under any network and scale conditions.

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Virtual Meter Models

Create Doppels of any meter type.

Model diverse meter types—gas, water, electric—and their stateful behavior, payload formats, and communication styles. Thoroughly test without physical hardware.

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Scenario Simulation Engine

Test infinite happy & unhappy paths indefinetely for faster testing.

Simulate telemetry bursts, command failures, packet corruption, resets, provisioning flows, and field-stress conditions to validate every possible customer scenario.

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Network Condition Simulation

Replicate field connectivity exactly.

Inject latency, jitter, drops, reorder, and bandwidth shifts to mimic remote deployments, ensuring the platform is resilient under all real-world network behaviors.

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Scale & Performance Testing

Simulate thousands of meters.

Run large-scale and soak tests to identify capacity limits, validate performance of cloud pipelines, gateways, and legacy protocols under real operational loads.

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Low-Code Automation

Accelerate validation - no scripting.

Quickly build, modify, and automate test scenarios using Doppelio’s low-code UI, integrating directly with your CI/CD workflow for continuous assurance. Testing is now a breeze.

Higher Confidence. Faster Releases. Lower Cost.

Doppelio improves reliability while cutting validation effort, infrastructure needs, and field-testing cycles.

Faster Releases

Cut test cycles dramatically.
Parallel testing with virtual devices reduces long lab cycles, enabling faster product iterations and quicker customer rollouts.

Higher Test Coverage

Test everything without constraints.
Move from limited physical tests to 360° validation across device variants, environments, and network scenarios—achieving up to 90%+ test coverage.

Lower Cost of Quality

Reduce lab effort and field issues.
Minimize dependence on physical devices, avoid field defects, and reduce test infrastructure and manpower costs.

Confident Field Deployments

Ship with zero surprises.
Spot defects early through controlled, repeatable testing with production-like data and stateful device behavior.

Smart Metering Validated at Scale

A Fortune 100 engineering company used Doppelio to virtualize diverse meter types, simulate unlimited scenarios, and test for scale and network conditions — achieving faster cycles, higher quality releases, and reduced dependence on channel partners.

View the Success Story