NOLISIS allows the detection of PLC channel attenuation.

Power Line Communications (PLC) enable data transmission using the existing electrical infrastructure, which represents a major advantage in terms of deployment and cost. However, this technology faces significant challenges related to signal quality, mainly due to noise and attenuation present in the communication channel. These factors directly affect the signal-to-noise ratio and the overall system performance, especially in dynamic and heterogeneous network environments.
 

The physical medium used by PLC was not originally designed for data transmission. As a result, the electrical network topology, the distance between devices, connected loads, and electromagnetic noise generated by various equipment can all cause signal attenuation. In dual-technology deployment scenarios, where PLC coexists with other communication technologies, network configuration becomes even more complex. In such cases, certain smart meters may lose or deactivate their repeater functionality, disrupting the natural reconfiguration of the PLC network and increasing the effective channel attenuation.
 

This loss of repeater capability can lead to sudden changes in the logical network topology, longer communication paths, and reduced robustness of the PLC channel. Consequently, the signal-to-noise ratio deteriorates and the connection success rate decreases, particularly at distant points or in areas with unfavorable electrical conditions. Rapid and reliable identification of these effects is essential to ensure service continuity.
 

In this context, the tool developed by Energy in the Cloud, S.L., NOLISIS, provides a clear differentiating value. The solution enables the identification of network attenuation through the analysis of the PLC channel connection success rate, using real operational data and its orthogonal topology. This approach is especially useful in dual-technology environments, as it allows the detection of degradations associated with network configuration changes without the need for additional instrumentation or manual interventions.
 

Thanks to this capability, the tool facilitates the identification of network areas where the loss of repeater functionality in smart meters is negatively impacting PLC performance. This makes it possible to adopt mitigation strategies such as dynamic route reconfiguration, adjustment of communication parameters, redistribution of network roles, or the optimal combination of available technologies in dual environments.
 

In addition, the tool contributes to more efficient planning of hybrid technology deployments by providing key insights into the real limits of the PLC channel and its evolution as a function of network architecture. This visibility allows potential issues to be anticipated before large-scale failures occur, improves system resilience, and optimizes the combined use of PLC and other communication technologies.
 

In summary, the incorporation of this analysis tool represents essential support for the deployment of PLC networks in dual-technology environments, among others. Its ability to identify attenuation resulting from the loss of repeater functionality in smart meters helps maintain an optimal signal-to-noise ratio, ensure communication reliability, and move toward more adaptive, robust networks prepared for future challenges.