Radmiser retro-fit wireless IoT cloud based water temperature monitoring system
for facilities managers typically in Healthcare, Care Homes, Hospitality, Manufacturing and Industry and Property.
Regular temperature testing for hot, cold and blended water at delivery and storage points is an essential but time-consuming part of any compliant building management regime. (HSG274 Part 2) and (L8 ACOP).
Until now, the solution was to visit each and every water delivery point to measure and log running water temperatures as part of a legionella control risk assessment. This method is both time consuming and involves often unnecessary running of water to gather evidence of legionella safety compliance.
Radmiser have now released a real time remote temperature monitoring system to alleviate the burden of such testing methods.
How does it work?
The retro-fit system senses water temperatures and sends real time data through a wireless network to a cloud based IoT database.
What data does it send?
It will monitor hot, cold and blended (TMV) water temperatures at both delivery and storage points.
What use is the data?
The data is collected and will generate alerts for any water delivery points that could represent increased risk of legionella or scalding and over time will highlight higher risk areas to be identified for periodic legionella water sampling in laboratory testing. Temperature set points would typically be 20°C for cold, 50°C for hot and 43°C for blended water. Water storage points can also be monitored.
Water delivery points that are intermittently used will alert risk and prompt a purging of water until safe temperature levels are achieved. Conversely water delivery points that are used regularly and monitored will not trigger alerts and will not need to be run for temperature checks thus saving significant quantities of water, both hot and cold. In environments where scalding is of concern, the system will measure blended water temperatures at the tap side of a TMV as part of this type of risk assessment management.
The data can also identify reduced stored water temperature enabling advanced warning in the event of boiler failure to give facilities managers time to implement response and reduce or eliminate downtime.