Smart sensors

Fit for the future

What today sounds like science fiction will be reality tomorrow, based on new technologies such as machine learning or artificial intelligence (AI). Smart sensors from ASC play a central part in digitization and networking: They enable the basis for numerous AI applications and help to automate work processes and make them more efficient.

Sensor data: The basis for new technologies

From sensor reading to feature vector: Machine Learning
The smart sensor processes measurement data by extracting features from the measurements and relaying them as feature vectors. This is possible because the smart sensor combines computational power with algorithms and is in bidirectional communication with the other components of the system. This allows adaptation of the analysis algorithms for extracting features during operation.

Smart sensors from ASC have computational power that can be used freely to adapt the algorithms for extracting features to individual requirements!

Artificial Intelligence (AI)

Artificial intelligence helps to understand complex contexts and to describe them in mathematical equations. AI makes it possible to analyze large data volumes and, for example, to automatically create rules for optimal control processes. Smart sensors have the capability to analyze feature vectors and to make decisions independently. This results in decentralized systems in which single sensor nodes operate independently of each other, yet are linked together to optimize processes. Smart sensors from ASC are optimally adapted to the requirements of artificial intelligence. They combine intelligent analysis with communication!

Digital Twin

A digital twin is the virtual model of a real physical object. It connects the real and virtual world. Digital twins are brought alive by real sensor data, which exactly determine working conditions or machine positions, for example. Interconnection of the two worlds and analysis of the data collected by the sensors enables early detection and elimination of problems in product development and utilization. This makes it possible to prevent machine and system failures and to develop new products without expensive physical prototypes.

Smart sensors from ASC are prepared for every challenge of the digital twin!
In simulation mode they can reproduce predefined pseudo measurement data, and also provide high-precision measurements in real-time operation.

A digital twin can be used in
all phases of the product life cycle:

Design

During creation of a prototype it is possible to implement and test different design alternatives. This significantly decreases the development cycle and ensures fulfillment of all requirements.

Manufacturing

The digital twin helps to boost efficiency and improve quality in production.

Operation

Predictive maintenance increases availability

Networking

Above all, the networking of sensors provides substantial added value within the framework of digitization. Networking facilitates integration of sensors in additional systems, as well as the exchange of information between sensors. The communication can use a wireless or cable connection. Mesh networks achieve long ranges and high redundancy.
Smart sensors from ASC speak many languages – such as EtherCAT, CAN, Bluetooth or LTE!

Predictive Maintenance

The basic concept of predictive maintenance is quite simple: Early detection of critical changes can prevent dangerous situations before damage occurs. This requires knowledge of the relevant parameters, as well as continuous monitoring and comparison with target values. ASC sensors provide the high-precision and reliable measurements needed to achieve this.

The better the data quality, the more reliable the prediction!
Machine learning and artificial intelligence reveal the features that are necessary for early detection of damage. During normal operation the digital twin then provides the information needed to determine whether processes are within the optimal range and when maintenance has to be planned.

Benefits

  • Better planning of servicing and maintenance concepts
  • Sustainable optimization of spare parts management
  • Substantially higher system availability
  • Significant reduction of life cycle costs
  • Distinctly higher productivity and efficiency

Flexible programming and high data quality make smart sensors from ASC ideal for use in predictive maintenance.

Smart Factory

A smart factory uses numerous new technologies. However, this is relevant not only for the production process within a factory, but for the entire company. In addition to using a digital twin with predictive maintenance to boost system availability, there are many other applications, such as virtual initial operation: Virtual initial operation makes it possible to install and test a factory or system in a simulated environment. The system’s digital twin makes all the information available as if the system were operating in reality. All processes can therefore be designed and tested prior to actual initial operation. In addition, employees can be trained in advance and acquainted with operation of the system. This enables a seamless switch to operation of the actual system, without the need for a transition period. Smart sensors provide fundamental data for this process: In simulation mode the sensors can deliver predefined measurements with appropriate analyses in order to simulate diverse situations for operation of the system. Afterwards, the smart sensors measure real values again, without having to replace or modify the sensors.

Smart sensors from ASC provide system parameters in real time! The current condition of systems and of the entire factory is therefore transparent at all times.

Another example relates to automated guided vehicles.
Smart factories are increasingly using automated guided vehicles, which are responsible for ensuring smooth production processes through the on-time supply of components. Automated guided vehicles perform this task as if by magic.

Smart sensors from ASC are used here as well. They ensure safe and accident-free delivery!

Smart Shipping

Predictive maintenance also represents a technological step in shipping. Especially container ships are powered by giant engines, which – once they are started – cannot be shut down again. Very early damage detection is extremely important for the planning of repairs. Since smart sensors enable precise identification of damage, this facilitates organization of the necessary replacement parts.

But the sensors also measure and process operating parameters and ambient conditions such as temperature, wind and sea state with the help of artificial intelligence. The result is optimal long-term adaptation of operating parameters, which also significantly reduces fuel consumption.

Smart sensors from ASC, with their robust design, high measuring accuracy and flexibility, offer the ideal basis for increased efficiency and availability!

Are you interested in a smart sensor solution?

We will develop it together with you.

E-Mail: service[at]asc-sensors.de
Phone: +49 8441 786547-0

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Anzahl Achsen
Sensortechnologie
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Sensorart

ASC 4221MF

Uniaxial, capacitive
Measurement range: ±2 to ±200 g
Noise density: 10 to 680 µg/√Hz
Frequency range (±5 %): DC to 1800 Hz

ASC OS-115LN

Uniaxial, capacitive
Measurement range: ±2 to ±400 g
Noise density: 7 to 400 µg/√Hz
Frequency range (±5 %): DC to 1000 Hz