IoT use cases implemented quicker with multi-sensors – Part 3

Multi-sensors are an extension of the sensory organs of employees in the factory of the future. The new SCD Sensor from Bosch Rexroth concentrates several sensors at once on the smallest space possible. The technicians of tomorrow therefore already have diverse options to collect data more cost-effectively and implement IoT use cases quicker and easier.

Digital multimeter: Acquire important information on the go

The SCD (Sense Connect Detect) product name illustrates the user’s ability to acquire important information for IoT projects in next to no time or to reveal acute improvements in production. For the first calculations the sensor is simply attached temporarily with adhesive or cable ties on the object to be monitored, to record the temperature of a motor housing or the vibrations of a tool holder for an hour, for example. The information can be visualized immediately via the app and exported to Excel as required. Production planning or maintenance then evaluates the situation. If the values are outside of the normal range, countermeasures can be introduced in good time before a failure occurs. If the result is not clear, further sensors can be added or repositioned at any time.


The SCD sensor in use on a machine

Continuous data collection with IoT Gateway

In upcoming versionsthe SCD can also be connected wirelessly with an IoT gateway to record data over longer periods, to be evaluated as part of continuous improvements via an on-premises or cloud-based analysis solution. Typical use cases for this scenario will be for example status-based maintenance to predictive maintenance, or a cross-plant and site performance comparison. The availability of the SCD also enables Bosch Rexroth to offer further complete end-to-end solutions from one single source – from durable multi-sensors to wireless data collection and transmission via the IoT Gateway, to local or cloud-based data analysis and evaluation.

Joint use case development with customers

Together with its customers, Bosch Rexroth is currently developing specific practice-related use cases with the sensor. Machine manufacturers, for example, can then benefit from insights into the commissioning of new systems, in order to accelerate them. Users in turn are enabled to identify quality-critical anomalies in production ad-hoc or long term. In the future, however, an SCD could also make non-smart products clearly identifiable and save selected life cycle data.

Fast entry to the Industrial Internet of Things

With this sensor Bosch Rexroth has built another bridge to the efficient IT connection of existing plant and machinery. Customers benefit from an effective product that optimally meets market requirements, because the expertise and experience from both fields – automation and IoT – were integrated into the development here. With just a click all measured data can be visualized and recorded ad-hoc via the app. The innovative new sensor solution creates the long yearned for conditions to identify process-critical points in just a few minutes, continuously improve production and critically shorten entry to the Industrial Internet of Things.

You want to develop with us applications for the SCD sensor. Please contact us:

Further information about sensors can be found in these blog posts:

„IoT sensors: The senses of the Factory of the Future“

„Digital multimeter as an icebreaker for IoT projects“

About the Author:

is product manager for Data Analytics in the area of PLC and IoT Systems at Bosch Rexroth. After his apprenticeship as an electrician for devices and systems in the field of pressure and temperature measurement technology, he completed his studies of industrial engineering with the specialization electrical engineering at the Technical University of Darmstadt as Master of Science. Before joining Robert Bosch GmbH in 2015, he worked in automotive engineering in China. He held various positions at Bosch, including in the United States, before taking up his current position at the end of 2017.

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