TMS/TMM22 Inclination Sensor

The TMS22 (single-axis) and TMM22 (dual-axis) inclination sensors provide cost-effective, high-precision inclination measurements. The foundation for this is powerful MEMS technology, which scores points with a error tolerance of ± 0.25° and excellent repeatability.

The measured values are output via a linearized analog signal. In order to meet the highest requirements in terms of resistance for outdoor applications such as PV systems, the sensor electronics are embedded directly into the housing during injection molding.

Therefore, TMS/TMM22 devices comply with the regulations according to enclosure rating IP66, IP68 or IP69K. The compact design with a height of just 10,4 mm also makes nearly unlimited integration options possible.

Features

Precise one- or two-dimensional inclination measurement for cost-sensitive applications
Maximum reliability thanks to rugged sensor design with dust- and waterproof enclosed electronics
High measuring certainty throughout the entire measuring range even under demanding ambient conditions thanks to optimized interference suppression
Can be easily integrated into a wide range of applications thanks to the compact dimensions
Analog output signal ensures maximum compatibility in industrial environments
Constant status information of the sensor thanks to visual LED feedback

Specifications

Brand

Sick AG

Certifications & Approvals

CE
cULus Listed

Enclosure Rating

IP66
IP69K
IP68

Number of Axis

1 / 2

Communication Interface

Analog, 0-10 V
Analog, 4-20 mA
Analog, 0-5 V

Measurement Range

2-Dimensional ± 10° to ± 90°
1-Dimensional 80° to 360°

Housing Material

Plastic (PA12), Glass-fiber Reinforced

Connection Type

Cable, 5-Wire, 1.5 m
Cable, 5-Wire, 0.3 m
Cable, 5-Wire, 10 m
Cable, 5-Wire, 3 m
Cable, 5-Wire, with Male Connector, M12, 5-Pin, 1 m / 0.3 m / 5 m
Cable, 5-Wire, 5 m

Accuracy

± 0.25°

Photovoltaics And Solar Thermal Energy
Mobile Agricultural And Forestry Machinery
Vertical Storage Systems
Crane And Lifting Technology
Automated Guided Vehicle Systems
Construction Machinery And Special-purpose Vehicles
Wind Power Plants