ML-IoT/W WiFi Data Logger
The ML-IoT/W data logger turns a TB7 tipping bucket rain gauge into an IoT precipitation monitor. The low-cost and low-power device including its antenna fits easily inside the TB7 enclosure. The ML-IoT/W collects the pulses from the rain gauge, accumulates them… Read more
| Construction |
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| WiFi Range | Up to 100 m (direct line of sight) |
| Power Supply and Consumption |
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| Data Memory and Backup |
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| Time Synchronization |
Automatic time synch to NTP server |
| Inputs |
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| Protocol |
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| Configuration |
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| Operating Temperature | -20 °C to +60 °C (-4 °F to +140 °F) |
| Dimensions H x W x D |
120 mm x 80 mm x 55 mm |
The ML-IoT/W data logger turns a TB7 tipping bucket rain gauge into an IoT precipitation monitor. The low-cost and low-power device including its antenna fits easily inside the TB7 enclosure. The ML-IoT/W collects the pulses from the rain gauge, accumulates them over a user-defined interval and sends periodic rain reports via WiFi connection. With its temperature sensor the ML-IoT/W provides a fair estimate of ambient temperature useful to determine trends, diurnal cycles, etc.
The use of WiFi data transmission keeps operational costs under control: no SIM card needed, no recurrent fees, no data volume-related fees. Whenever and wherever a WiFi hotspot is available within a 100 m reach (direct line of sight), the ML-IoT/W is a cost effective option to transmit data. Data communication settings, router credentials, receiver IP/FTP address and other configuration can be entered via a browser on a mobile device (no app needs to be downloaded). In order to inform the user of its performance, the ML-IoT/W can send a summary email through an SMTP server to two recipients every day.
Deployment of a TB7 equipped with an ML-IoT/W is easy. The rain gauge is simply installed on a solid, levelled basis (e.g. a concrete pad) or mounted on a 2” thread
ed pole. Due to the black colour of the TB7 and no visible electronics or antennas, the rain gauges are unobtrusive and do not attract the attention of vandals.
Application examples for ML-IoT/W:
- Citizen Science: Volunteer precipitation observers contributing data to met offices can automate the entire data collection and reporting process, thereby providing data of higher quality, with higher consistency and continuously recorded even when the volunteer observer is not at home to do a reading. The combination of TB7 and ML-IoT/W automates all steps of reading, recording and forwarding the data.
- Smart City: With the ubiquity of free WiFi hotspots and city-operated WiFi routers, rain data can be easily collected on all public and/or city owned properties, transmitted to a central server in the city’s IT department and made available to internal experts (environment, traffic management, technical advisers, drainage engineers, ...). Citizens can be invited to participate in collecting data operating a TB7 rain gauge on their premise and using their own WiFi router for data transmission. Precipitation data can be shared with the general public.
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ML-IoT/W Brochure
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ML-IoT/W WiFi Data Logger Manual Links