1. example of a possible navigation

2. example of a possible navigation

Precise mold prevention in rooms

Febris SCW |

IoT mold sensor

icons8-check-96-2

Data transmission with LoRaWAN®, mioty® or NB-IoT

icons8-check-96-2Three-way measuring principle consisting of temperature, relative humidity and surface temperature

icons8-check-96-2Calculation of the relative humidity on the wall surface

icons8-check-96-2Configuration via NFC

icons8-check-96-2Replaceable AA cells

icons8-check-96-2Acoustic signal via buzzer and visual feedback

icons8-check-96-2Double tap triggers immediate measurement and output

icons8-check-96-2 Configurable threshold values

Febris SCW IoT mold sensor
Why data and IoT solutions are particularly useful in mold prevention

Febris SCW IoT mold sensor

PDF Download
Buy product directly?

Visit our Sentinum Shop!

To the store
Store Icon
Directly to the documentation?

Visit our online documentary!

To the documentary page
Docu Icon

The profile of Febris SCW

Profile icon

The Febris-SCW sensor was specially developed for mold prevention in residential buildings. It regularly measures temperature, relative humidity and surface temperature with maximum accuracy. If the limit values are exceeded, the sensor warns immediately, acoustically via a buzzer and visually via bright LEDs.

The recorded data is regularly transmitted via NB-IoT, LoRaWAN® or mioty® to enable efficient monitoring of rooms and buildings. The sensor is battery powered (4x AA), with easily replaceable batteries. A manual measurement can be triggered by a simple double-tap on the sensor.

Wall mounting is recommended for optimum results. High-quality sensor modules guarantee reliable measurements and effective protection against mold growth.

Features of the Febris IoT mold sensor

Temperature icon
Temperature, relative humidity, surface temperature
Traffic light icon
Direct warning via traffic light function and acoustics
Distance icon
lxwxh 86mmx86mmx25.5mm
Febris Schimmelwarnsensor LoRaWAN® image

Febris Schimmelwarnsensor LoRaWAN®

€88.00

Sentinum Febris, wireless LoRaWAN® indoor radio sensor for mold prevention Temperature, relative humidity, surface temperature, dew point, visual output via traffic light with LEDs, acoustic signal, configurable via NFC, replaceable batteries.

To the store
Febris Schimmelwarnsensor mioty® image

Febris Schimmelwarnsensor mioty®

€88.00

Sentinum Febris, drahtloser mioty® indoor Funksensor zu Schimmelprävention Temperatur, relative Luftfeuchte, Oberflächentemperatur, Taupunkt, visuelle Ausgabe über Ampel mit LEDs, akustisches Signal, über NFC konfigurierbar, wechselbare Batterien.

To the store
Febris Indoor NB-IoT/LTE-CAT-M1 Schimmelwarnsensor image

Febris Indoor NB-IoT/LTE-CAT-M1 Schimmelwarnsensor

€96.00

Wireless NB-IoT indoor mobile sensor for mold prevention Temperature, relative humidity, surface temperature, dew point, visual output via traffic light with LEDs, acoustic signal, configurable via NFC, replaceable batteries, without SIM card.

To the store

Industries and areas of application

Schools, universities and kindergartens

Educational institutions

icons8-schule-96

Offices, conference rooms or communal areas

Offices and companies

icons8-building-96

Hospitals, doctors' surgeries and care facilities

Healthcare

icons8-krankenhaus-96

Stores, restaurants and cafés

Retail and gastronomy

icons8-kleines-unternehmen-96

Apartments, public buildings or rental properties

Real estate management & housing industry

icons8-immobilien-96
Production halls, warehouse, recreation rooms, canteen

Industry and production

icons8-manufacturing-128

Advantages of intelligent mold prevention

Precise monitoring of temperature and humidity

The Febris-SCW continuously measures the temperature and relative humidity to provide early warning of potential mold growth and to monitor the indoor climate optimally.

Temperature-compensated surface thermometer

In addition to air monitoring, the Febris-SCW measures the surface temperature in order to specifically monitor areas with a high risk of mold, such as walls or windows.

Acoustic and visual warnings

If the preset limit values are exceeded, the Febris-SCW gives an immediate acoustic warning and indicates the critical status via bright LEDs so that action can be taken quickly.

Specially developed for residential construction

The Febris-SCW has been specially developed for mold prevention in residential buildings and construction projects and is perfect for use in apartments, houses or new buildings.

Simple installation

The Febris-SCW is optimized for wall mounting, but can also be installed flexibly at different locations in the room to ensure monitoring at critical points.

Robust and reliable sensor technology

High-quality sensor modules ensure reliable and precise measurements that are specifically designed to prevent mold growth.

Get started without effort

Start directly with our Plug&Play solution including web application & dashboard.

Febris SCW (inkl. Webanwendung) - NB-IoT image

Febris SCW (inkl. Webanwendung) - NB-IoT

€98.00

Start directly with Plug&Play CO2 monitoring now - visualization of the data in the mySentinum Web Dashboard without setting up a network or interfering with the local IT infrastructure, incl. Febris CO2 wireless NB-IoT sensor with SIM card incl. data forwarding via the Datahub via API, term 18 months prepaid.

To the store

Properties

Visual feedback

The Febris sensor provides the user with direct visual feedback. The air quality is indicated and classified in the form of an LED traffic light system. This allows a direct reaction and the derivation of measures if necessary.

Replaceable batteries

The sensor has four replaceable standard AA batteries. This enables extra short measurement and transmission intervals with frequent replacement cycles. The sensor can be easily opened with a snap lock for replacement.

Provisioning over NFC

The sensor is activated via NFC and allows sensor and network-specific settings to be adapted to the respective application. The LinQs app is available in the App Store for Android and iOS.

Acoustic feedback

In addition to the LED traffic light system, the Febris sensor has acoustic feedback. A buzzer is integrated in the sensor for this purpose. This can be switched on or off via NFC. This means that users are also informed without having to constantly monitor the traffic light.

Power supply unit Supply

In addition to battery operation, the Febris can also be powered by a mains adapter. This enables greater application flexibility and even shorter measuring and transmission intervals. In this configuration, the battery holders are removed from the product.

Double Tap

A double tap on the Febris sensor triggers an immediate measurement. Whether the air quality has reached a critical level is indicated both by the LED traffic light and, in the case of critical room air, by an acoustic signal.

Preventing mold infestation with innovative IoT solutions

Mold causes considerable damage every year and poses a health risk. Tenants, landlords, homeowners, insurance companies and housing associations are all affected. Our IoT-based solution aims to proactively prevent mold growth in order to reduce costs, avoid conflicts and protect the health of residents.

How does our solution work?

Our sophisticated IoT mold sensor continuously records the temperature and relative humidity in your premises. The decisive factor here is the wall temperature:

Mold risk detection: by measuring the surface temperature of the walls in combination with humidity data, our system can calculate the dew point. This is the point at which condensation begins and there is therefore a risk of mold.

Example to illustrate: At a room temperature of 21°C and a relative humidity of 60%, the dew point is approx. 12.9°C. A wall temperature of 16°C would then lead to a relative humidity of around 82% on the wall - a clear indication of the risk of mold.

Web application

Sensor + web application solution

  • icons8-check-96-3 Early warnings: Before mold develops, the system warns and thus enables timely countermeasures.
  • icons8-check-96-3 Long-term analyses: Average values and long-term measurement data enable precise analyses and early detection of harmful conditions.
  • icons8-check-96-3 Automated ventilation protocols: Based on the data collected, ventilation times can be optimally adjusted and automated, which not only improves air quality but also saves energy costs.
Inquiries
Get more information about the

Febris SCW

IoT mold sensor

To the store to the documentation
Febris SCW IoT mold sensor
Febris SCW IoT mold sensor
Febris SCW IoT mold sensor
Febris SCW IoT mold sensor

Mounting types of the Febris IoT mold sensor

Assembly icon
Wall mounting
Magnet Icon
Magnets
Positioning icon
Place or lay

Do you have questions about the measured value curve or are you interested in an OEM version? We are at your disposal!

Contact us for an individual consultation and discover how our IoT sensor solutions can optimally support your project.

Contact us