Design and Implementation of a Multi-Sensor DAQ System for Comparative Photovoltaic Performance Analysis
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arXiv
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| Autores principales: | , , , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| _version_ | 1866913015112138752 |
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| author | Fernandez-Obando, Maickol Leon-Vega, Luis G. Cardinale-Villalobos, Leonardo Vega-Sanchez, Christopher Murillo-Soto, Luis D. |
| author_facet | Fernandez-Obando, Maickol Leon-Vega, Luis G. Cardinale-Villalobos, Leonardo Vega-Sanchez, Christopher Murillo-Soto, Luis D. |
| contents | The rigorous analysis of specialized physical processes often demands custom data acquisition architectures that offer flexibility and precision beyond the capabilities of general-purpose commercial loggers. This paper presents the design and implementation of a robust data acquisition system (DAQ) for a comparative analysis of the performance of two photovoltaic panels with two different cooling systems. The system integrates a custom PCB design for 20 thermistors, dual high-precision INA228 current/voltage sensors, environmental monitoring equipment, and a Raspberry Pi 4-based acquisition platform. The software architecture implements autonomous operation with enhanced fault recovery, dual storage redundancy (local CSV and InfluxDB), cloud synchronization via Google Drive, and real-time visualization through Grafana dashboards. Field deployment demonstrated system reliability, including automatic recovery from power interruptions, a 1-minute sampling rate, remote monitoring capabilities, and continuous operation during a 5 AM to 6 PM daily window. The modular hardware and software architecture enables simultaneous monitoring of two photovoltaic panels for research on direct performance comparison under identical environmental conditions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2604_06670 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Design and Implementation of a Multi-Sensor DAQ System for Comparative Photovoltaic Performance Analysis Fernandez-Obando, Maickol Leon-Vega, Luis G. Cardinale-Villalobos, Leonardo Vega-Sanchez, Christopher Murillo-Soto, Luis D. Systems and Control Signal Processing The rigorous analysis of specialized physical processes often demands custom data acquisition architectures that offer flexibility and precision beyond the capabilities of general-purpose commercial loggers. This paper presents the design and implementation of a robust data acquisition system (DAQ) for a comparative analysis of the performance of two photovoltaic panels with two different cooling systems. The system integrates a custom PCB design for 20 thermistors, dual high-precision INA228 current/voltage sensors, environmental monitoring equipment, and a Raspberry Pi 4-based acquisition platform. The software architecture implements autonomous operation with enhanced fault recovery, dual storage redundancy (local CSV and InfluxDB), cloud synchronization via Google Drive, and real-time visualization through Grafana dashboards. Field deployment demonstrated system reliability, including automatic recovery from power interruptions, a 1-minute sampling rate, remote monitoring capabilities, and continuous operation during a 5 AM to 6 PM daily window. The modular hardware and software architecture enables simultaneous monitoring of two photovoltaic panels for research on direct performance comparison under identical environmental conditions. |
| title | Design and Implementation of a Multi-Sensor DAQ System for Comparative Photovoltaic Performance Analysis |
| topic | Systems and Control Signal Processing |
| url | https://arxiv.org/abs/2604.06670 |