lorenzo/monster
1
0
Fork 0
forked from RnD/monster
Code Pull Requests Activity
4 Commits 2 Branches 0 Tags
main
Go to file
Clone
Open with VS Code Open with VSCodium Open with Intellij IDEA
Download ZIP Download TAR.GZ Download BUNDLE
This branch is 3 commits behind RnD/monster:main
znetsixe a061873537 sjoerds chages
2025-08-08 09:51:57 +02:00
config
first commit
2025-05-14 10:08:34 +02:00
dependencies/monster
sjoerds chages
2025-08-08 09:51:57 +02:00
LICENSE
license update
2025-08-07 14:00:17 +02:00
monster.html
first commit
2025-05-14 10:08:34 +02:00
monster.js
first commit
2025-05-14 10:08:34 +02:00
monsterFlow.json
first commit
2025-05-14 10:08:34 +02:00
package.json
first commit
2025-05-14 10:08:34 +02:00
README.md
Initial commit
2025-05-13 09:58:36 +00:00

README.md

convert

Makes unit conversions

Description
Monster – AI-Powered Wastewater Sampling Automation Features: • Predictive Sampling: LSTM-based flow prediction with 24h precipitation forecasts • Calendar Integration: AQUON lab scheduling for automated sampling • Volume Optimization: dynamic pulse calculation for representative samples • Weather Correlation: multi-location precipitation aggregation & probability weighting • Safety Systems: bucket overflow, min/max volume, weight monitoring • Real-time Processing: continuous flow calculation with configurable sampling windows • Event-Driven Architecture: Node-RED EventEmitter integration Integration: Uses weather APIs, lab schedules, and TensorFlow.js ML models for autonomous wastewater sampling with predictive flow optimization.
Readme 92 KiB
Languages
JavaScript 85.7%
HTML 14.3%