Innovation and Digitization of Solar Cookers Towards Sustainable Energy Management
Bibliographic record
Abstract
This chapter presents the digitization and supervision of a photovoltaic solar cooker using a Raspberry Pi Pico W microcontroller. The system collects meteorological and electrical parameters (voltage, current, power, efficiency, temperatures) in real time and automatically regulates the cooker's operation. Data, transmitted via the MQTT protocol, are instantly displayed on a Tkinter interface and archived in MySQL databases to ensure full traceability. The results show that the developed architecture enables: Real-time reception and display of data, Timestamped storage for individualized monitoring, Deferred visualization through an interactive web application based on Dash. This centralized and scalable solution provides a reliable tool for supervision, performance analysis, and adaptation of solar cookers to various contexts. This chapter presents the digitization and supervision of a photovoltaic solar cooker using a Raspberry Pi Pico W microcontroller. The system collects meteorological and electrical parameters (voltage, current, power, efficiency, temperatures) in real time and automatically regulates the cooker's operation. Data, transmitted via the MQTT protocol, are instantly displayed on a Tkinter interface and archived in MySQL databases to ensure full traceability. The results show that the developed architecture enables: Real-time reception and display of data, Timestamped storage for individualized monitoring, Deferred visualization through an interactive web application based on Dash. This centralized and scalable solution provides a reliable tool for supervision, performance analysis, and adaptation of solar cookers to various contexts.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".