Design of Control System for Household Disinfection Cabinet
Bibliographic record
Abstract
With improved living standards, people pay more attention to health and safety, and household disinfection cabinets have become increasingly important in modern families. In the past, the disinfection cabinet mainly relied on simple mechanical switches; the operation was not flexible enough, and the disinfection effect was difficult to guarantee. Therefore, the traditional disinfection cabinet could not meet the needs of modern families. The system comprises a temperature and humidity monitoring module, LCD interface, physical key input, stepper motor driver, sound and light alarm system, relay, and Bluetooth wireless communication module. An intelligent disinfection cabinet with comprehensive functions and convenient operation was completed. By accurately controlling the temperature and humidity of the disinfection cabinet, the system can ensure the effectiveness of the disinfection process. The system can give the user feedback on the working state of the disinfection cabinet in real time with the LCD. Users can remotely control the disinfection mode, disinfection time, and system switch of the disinfection cabinet by independent buttons or a Bluetooth mobile phone app paired with the system, which significantly improves its convenience. In addition, the system is equipped with a temperature monitoring and protection mechanism. When the detected temperature exceeds the set threshold, the system will immediately trigger the sound and light alarm and send reminders to the user through the mobile phone app to ensure the safety of the use process.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.013 | 0.004 |
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 source (direct Gemma or distilled Codex), 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".