Multisensor (Outdoor)

All in one: the sensor detects motion, brightness, temperature, noise and tilt - designed for Zhaga-D4i lights

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The multisensor is a true all-rounder: it combines various functionalities in a single sensor. The installation is uncomplicated within 15 seconds via the Zhaga-D4i plug connection directly on the street lights.

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Once installed, the multisensor records various data, including detecting movement on the road thanks to an integrated radar sensor. This automatically dims the light of the corresponding luminaires up and down for needs-based lighting.

This not only increases safety on roads, cycle paths and footpaths, but also significantly reduces energy consumption at the same time. This lowers the cost of public lighting and reduces unwanted light emissions.

But in the future, the multisensor will be more than just a light and radar sensor: other valuable data can be measured, such as ambient temperature, inclination of the luminaire and detection of ambient noise. This data offers cities and municipalities added value far beyond lighting control. For example, map-based temperature overviews of urban areas can be created to identify urban planning measures that lead to an improvement in the quality of life of residents.

Technical Data

Sensor type Dual Radar Sensor (24.15GHz) 
Coverage one-sided asymmetric 
Motion detection up to 145 km/h 
Sensor communication Bluetooth Mesh 2.4Ghz 8dBm 
Color Transparent smoke grey 
Measurements (W x H x D) ⊘ 79.7, H 59.3 mm
Supply voltage 24 V ± 10% 
Rotation -82.5° to 82.5 °
Mounting height 3 till 12m 
Weight 0.120 kg
Schutzart/-klasse IP66 / IK08 
Steuerprotokoll DALI (Zhaga-D4i) 

Why do our customers rely on the multisensor?

What functionalities does the multisensor offer?

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Radar sensor

The radar sensor enables lighting to be adjusted as required. The dual radar has a one-sided, asymmetrical detection range and precisely detects movements up to 145 km/h. The multisensor functions autonomously as a "standalone" solution or networked with each other.

So entire areas can be illuminated as needed and a so-called "leading light" is created: when a sensor in the group detects movement, it automatically dims up and informs the other luminaires in the expected direction of the detected movement. These also increase the light intensity. As soon as no more movement is detected on the street, all luminaires dim back to the basic level. The parameters can be freely selected and easily adjusted at any time via app.

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Brightness sensor

In addition to the radar sensor, which regulates the intensity of the lighting, the integrated brightness sensor ensures that the lights are switched on and off. The light of the luminaires switches on automatically as soon as the stored threshold value of the ambient brightness is undercut, for example at dusk. As soon as the threshold value is exceeded and it is sufficiently bright (for example, at dawn), the lighting switches off again automatically.

What other functionalities are planned for the future?

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Inclination sensor

The tilt sensor provides data on the tilt angle of the luminaire. It detects an inclined position of the pole and luminaire, e.g. when the candelabra has been approached. The sensor detects the deviation and is able to forward an automatic fault message.

The sensor thus indicates damage that affects the tilt angle of the luminaire (e.g. due to an accident or severe weather). Thus, the necessary repairs can arrange without delay.

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Temperature sensor

The temperature sensor continuously measures the ambient temperature. This data can be helpful for different areas in a city or community. In particular, city planners can make more targeted decisions based on the systematic temperature measurements and, if necessary, initiate measures to improve the quality of life of the inhabitants:

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The environmental data collected can be made available to other systems via an open API interface.

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Noise sensor

Environmental noise is an indicator that can point to the need for action in an area. Based on the data obtained by measuring noise levels, noise pollution in an area can be identified and evaluated at an early stage. In this way, possible complaints from the population can be counteracted in advance. At the same time, the effectiveness of traffic calming measures can be checked and documented.

This data can also be made available to other systems via an open API interface.

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