給水
Water Supply Monitor
Checks that the water actually arrived, not just that a pump was told to run.
課題
A pump can be switched on and still deliver nothing.
Water Supply Monitor
Misters, tanks and RO plants are automated, but automation usually trusts the command. If a supply fails, a system can log 'done' while an animal's tank quietly runs dry. The Water Supply Monitor measures flow, tank level and water quality on each line and compares what was commanded with what arrived.
水・水生環境
活用シーン
RO water plants
Flow, level and TDS on the systems that feed animal water.
Misting supplies
Proof that misters actually got water.
Header & holding tanks
Tank levels behind every automated system.
できること
Commanded vs actual
Compares each 'run' command with the water that actually flowed.
Flow on every line
Inline flow sensors on RO and tank lines.
Tank levels
Level sensing on the tanks the systems draw from.
Water quality
TDS readings on the RO supply.
Supply status
Shows whether each supply is delivering.
Monitoring only
It watches and reports; it does not switch pumps.
仕組み
Fit
Add flow and level sensors to the RO and tank lines.
Compare
The monitor checks each command against the water that arrived.
Act
Staff see which supply failed and fix it before tanks run dry.
チームに選ばれる理由
Trust your automation
Catches the silent failures timers miss.
Protects animals
A failing supply is spotted before tanks run dry.
One view
Every supply line in one place.
Faster fixes
Points to the line that failed.
主な仕様
- Watches
- RO systems, tanks and misting supply lines
- Measures
- Flow, tank level, TDS and supply status
- Sensors
- Inline flow and level sensors
- Logic
- Commanded versus actual water
- Role
- Monitoring only; switches no pumps
- Controller
- ESP32 with Wi-Fi to a web dashboard
- Power
- Mains
こんな現場に
- RO water plants
- Misting and fogging supplies
- Header and holding tanks
Planning a pilot?
Tell us how water reaches your animal systems, and we will plan where to watch it.
水・水生環境のその他のデバイス
すべてのデバイス
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ご案内をご予約ください。実際のフィールド研究、リアルタイムの音声アノテーション、そしてエッジ上でローカルに動くコンピュータービジョンモデルをご紹介します。モデルは、飼育員や生物学者が実際のカメラ映像を使い、行動ひとつひとつを教えて学習させたものです。
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