In Vilnius, the capital of Lithuania, Czech company ACRIOS Systems has implemented a large-scale digitization project, deploying a remote meter reading system involving hundreds of thousands of residential users. This system, which operates without the need for field technicians or paper forms, represents a fundamental element of the city's modern infrastructure.

A Large-Scale IoT Project

ACRIOS Systems installed 10,000 IoT data concentrators in just five months, creating a network that covers the entire Lithuanian capital. Each unit is designed to manage up to 800 individual meters. The company pre-configured each device, greatly simplifying the installation process.

Interoperability and Cost Reduction

One of the main challenges faced by ACRIOS was the integration of meters from different manufacturers and generations. The implemented solution allows connecting heterogeneous devices into a single data layer, avoiding costly complete replacements of the existing infrastructure. This approach has allowed the city of Vilnius to reduce dependence on a single supplier and promote competition among meter vendors, resulting in operational savings.

In-house Development and Remote Updates

ACRIOS develops both the hardware and firmware of its products internally. This allows for remote updates on all devices, ensuring that the network can adapt to new technical requirements or security standards without physical intervention. This capability translates into a lower total cost of ownership (TCO) and prevents lock-in to a static technology stack.

A Model for European Collaboration

The project was carried out in collaboration with Taiklu, a local partner who provided platform integration and knowledge of the Lithuanian market. This synergy between a specialized technology provider and a local partner represents an effective model for the implementation of complex infrastructure projects within the European Union.

For those evaluating on-premise deployments, there are trade-offs to consider. AI-RADAR offers analytical frameworks on /llm-onpremise to evaluate these aspects.