{"id":8241,"date":"2026-09-11T03:44:46","date_gmt":"2026-09-11T01:44:46","guid":{"rendered":"https:\/\/www.scs.ch\/uncategorized-en-us\/smart-meter-toolkit\/"},"modified":"2026-09-20T07:38:44","modified_gmt":"2026-09-20T05:38:44","slug":"smart-meter-toolkit","status":"publish","type":"post","link":"https:\/\/www.scs.ch\/en\/case-studies\/smart-meter-toolkit\/","title":{"rendered":"Smart Meter Toolkit"},"content":{"rendered":"

Initial Situation<\/h2><\/div>

By the end of 2027, at least 80 percent of all metering devices in a grid area must be intelligent metering systems. Smart meters typically transmit their readings to the grid operator once a day. This is not sufficient for home automation or a detailed analysis of power consumption. At the same time, grid operators must enable their end customers to read real-time measurement data locally. However, the customer interface provided for this purpose delivers the data in technically demanding, partially encrypted, and fragmented formats.<\/p>\n<\/div>

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Project Overview<\/h3><\/div>

Customer<\/strong>
EKZ (Elektrizit\u00e4tswerke des Kantons Z\u00fcrich)<\/p>\n<\/div>

<\/div><\/div>

Area<\/strong>
Industrial & Finance<\/p>\n<\/div>

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Solution<\/strong>
Open-source reading of smart meter data.<\/p>\n<\/div>

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System Environment <\/strong>
\nRaspberry Pi, Consumer Information Interface (CII) on the meter, DLMS\/COSEM via HDLC, M-Bus or DSMR-P1, forwarding via MQTT<\/p>\n<\/div>

<\/div><\/div>

Technologies<\/strong>
\nPython, MQTT, Grafana, InfluxDB, published on GitHub<\/p>\n<\/div>

<\/div><\/div>

Data Privacy<\/strong>
\nLocal processing without transmission of consumption data to the cloud<\/p>\n<\/div><\/div><\/div><\/div><\/div>

The Contribution of SCS<\/h2><\/div>

SCS developed a lean open-source solution in Python for EKZ that runs on a Raspberry Pi, reads, decrypts, and processes the data from the customer interface, and makes it available via MQTT for further use.<\/p>\n<\/div><\/div><\/div>

<\/i><\/div>

Complex Meter Data Made Accessible<\/h4><\/div>
<\/div>
\n

SCS processes the partially encrypted and fragmented data from the customer interface and assembles it into understandable measured values. Established smart meter standards such as DLMS\/COSEM, M-Bus, and DSMR-P1 are supported.<\/p>\n<\/div><\/div><\/div>

<\/i><\/div>

Operated on Compact Hardware<\/h4><\/div>
<\/div>
\n

The data collector runs on a Raspberry Pi and provides the processed meter data via MQTT. The data can be used locally on the device or within the user’s own network.<\/p>\n<\/div><\/div><\/div>

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Flexibly Expandable<\/h4><\/div>
<\/div>
\n

The data collector connects multiple data sources with different data sinks. The modular and asynchronous architecture keeps the components independent of each other and enables resource-efficient expansion.<\/p>\n<\/div><\/div><\/div>

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Data Remains Local<\/h4><\/div>
<\/div>
\n

Visualization with Grafana and storage with InfluxDB can run entirely on the Raspberry Pi. Consumption data does not need to be transferred to a cloud for this purpose.<\/p>\n<\/div><\/div><\/div>

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Result<\/h2><\/div>

With the Smart Meter Toolkit, measured values can be recorded locally at a resolution of 5 to 30 seconds and displayed clearly. End customers can thus analyze their power consumption in near real-time and integrate the data into their home automation via MQTT. Since the software was developed in Python, it can be operated on other Linux platforms in addition to the Raspberry Pi. The software is available as open source on GitHub, as a Python package, and as a ready-to-use Raspberry Pi demo image. SCS manages the project and coordinates the exchange with interested parties and contributors.<\/p>\n<\/div><\/div><\/div>

5 to 30 seconds<\/h3><\/div>

Resolution of the locally read measured values.<\/p>\n<\/div><\/div><\/div>

80 percent<\/h3><\/div>

of metering devices must be intelligent metering systems by the end of 2027 (regulatory context, not a project result).<\/p>\n<\/div><\/div><\/div>

0 consumption data in the cloud<\/h3><\/div>

with completely local processing.<\/p>\n<\/div><\/div><\/div><\/div><\/div>

Services Provided<\/h2><\/div><\/div><\/div>

Embedded Systems<\/h3><\/div><\/div><\/div><\/div><\/div><\/div>

Industrial Interfaces (MQTT \/ DLMS)<\/h3><\/div><\/div><\/div><\/div><\/div><\/div>

Industrial & Finance<\/h3><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>
\"A<\/div><\/div>

Your Contact Person<\/h2><\/div>
Stephan Moser<\/div><\/div>

Energy Systems & Public Safety
\n+41 43 456 16 00<\/a><\/p>\n<\/div>

Speak with the responsible specialist<\/span>Speak with the responsible specialist<\/span><\/div><\/a><\/div>

For questions regarding smart metering, measurement data interfaces, and open-source solutions in the energy sector.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div><\/div>

Further Case Studies<\/h2><\/div>