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Explore ACRIOS Systems from every angle, from company news and product updates to technology insights and the future of smart metering.

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LoRaWAN airtime: why radio conditions matter
Two LoRaWAN meters on the same network can communicate very differently. Spreading factor, airtime, payload limits and duty cycle decide how often each meter may transmit, how much data fits into one message and what it costs in battery and network capacity.
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Converter, bus, bridge, gateway: what's the difference?
Converter, bridge, gateway, repeater, concentrator, data logger: metering and IoT datasheets rarely agree on these terms in practice. Following the data path instead of the product label shows exactly where the real functional boundaries between devices sit.
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What actually drains an IoT device battery
Long battery life is achievable, but only with the right configuration. Reading and transmission frequency, sleep design, NB-IoT and LoRaWAN settings, and error handling all shape real-world results. This guide walks through the full power profile, with a deployment checklist.
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M-Bus parsing strategies for LoRaWAN and NB-IoT
M-Bus telegrams often exceed a single LoRaWAN or NB-IoT uplink. VIF/DIF filtering and three ACRIOS fragmentation strategies, Truncate, Split, and Multiframe, plus an MQTT-over-JSON option on NB-IoT, cover the practical choices for matching data transport to the network in use.
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How to best replace walk-by meter reading
Walk-by meter reading no longer keeps up, the EED is pushing for frequent consumption data. This article compares three ways to automate readings, cabling, switching to LoRaWAN meters, and a wM-Bus concentrator, and explains when keeping existing meters makes the most sense.
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Can your existing meters be retrofitted?
Many remote reading projects start with existing metering infrastructure rather than new meters. This practical checklist explains what to assess before choosing a converter, communication network or platform for a successful retrofit project.
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Battery life in IoT: beyond the datasheet number
Battery life in an IoT device depends on more than capacity. Temperature, communication method, signal quality and the cell's own properties all play a part. A datasheet figure is only a reference value, and real-world performance can look very different depending on the application.
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Agile, Waterfall, or NRE? Choosing a development methodology
Choosing the right collaboration model can determine whether a development project stays on budget, adapts to change, or delivers on time. When Agile, Waterfall, or NRE is the right fit? Why the best approach depends on project's goals, readiness, and technical complexity?
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Developing adaptive IoT communication under the CRA
ACRIOS is developing a communication module that switches between LoRaWAN and NB-IoT on its own. Backed by the Technology Agency of the Czech Republic, the project aims for more reliable data transmission, lower costs, and security beyond the Cyber Resilience Act.
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Focused supplier or large vendor? Depends on the project
In retrofit connectivity, the biggest vendors win the largest rollouts. But for working meters that only need connecting, not replacing, a focused converter to NB-IoT or LoRaWAN often fits better. A look at where specialists and giants each have the edge.
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Edge computing in IoT metering
M-Bus payloads often exceed LoRaWAN and NB-IoT single-message limits. Edge computing solves this at the source through VIF/DIF filtering, adaptive sampling, local validation, and source encryption. When does it make sense, and when not? A practical decision guide for IoT metering deployments.
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Manufacturer as a technology partner
The role of IoT device manufacturers is shifting from hardware supplier to technology partner. Parsers, open APIs, containerised backend, remote firmware management and CRA-ready security shorten implementation, reduce internal development load and lower TCO across AMR and AMI projects.
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