Sunrise: Large scale demonstrator of the smart water system
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The development of new monitoring and control technologies has changed the management of water distribution systems (WDSs) from passive to more efficient by generating the notion of a Smart Water Network (SWN). These technologies provide the real-time monitoring of the urban water networks and, consequently, improve the faults diagnosis. This article presents SunRise -Smart Water: a demonstration site of a SWN. The large-scale demonstrator is well equipped by a set of sensors that measure continuously the hydraulic characteristics of the system. The flow readings collected from the sensors are statistically analysed using the k-means algorithm evaluated by the entropy scorer to regroup clusters with same behaviour in terms of water usage. In parallel, the smart monitoring of the water network in the demo site has allowed for leakage detection either by following the water consumption patterns or by computing the minimum night flow (MNF).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it