A detection device includes an electrostatic capacitance sensor including an electrode pair and being configured to detect electrostatic capacitance of a medium brought into contact with the electrode pair, and a first ultrasonic wave sensor including a first transmission unit configured to transmit an ultrasonic wave and a first reception unit configured to receive an ultrasonic wave transmitted from the first transmission unit. The transmission unit and the reception unit are positioned to sandwich the medium.

A sensor device for detecting moisture on a roadway of a vehicle includes a housing having at least one flat housing area. The housing is constructed as a resonant body and is provided for mounting in a wheel arch of the vehicle. At least one structure-borne sound sensor is arranged in the housing area of the housing and at least one connecting means is assigned to the housing for producing a connection between the housing and the wheel arch. The at least one connecting means is constructed to be vibration damping and constructed for receiving a decoupling of the sensor device and the wheel arch. The at least one connecting means is constructed for producing a connection between the housing and the wheel arch and the structure-borne sound sensor is configured to detect only structure-borne sound signals caused by impacting moisture droplets on the housing.

The invention relates generally to an Internet of Things (IoT) enabled wireless sensor system using attached and/or embedded passive electromagnetic sensors (PES) with distribution hardware. One embodiment of this invention includes a wireless sensor system, which permits process control and predictive maintenance on a utility's electrical transmission and distribution grid. Another embodiment includes a wireless sensor system, which permits process control and predictive maintenance of liquid or gas through a pipeline. Another embodiment includes a wireless sensor system, which permits measurement of breathable air pollutants. Furthermore, a method of manufacturing a protective passive electromagnetic sensor pod and passive electromagnetic sensor equipped distribution hardware components is provided.

The invention relates generally to an Internet of Things (IoT) enabled wireless sensor system using attached and/or embedded passive electromagnetic sensors (PES) with distribution hardware. One embodiment of this invention includes a wireless sensor system, which permits process control and predictive maintenance on a utility's electrical transmission and distribution grid. Another embodiment includes a wireless sensor system, which permits process control and predictive maintenance of liquid or gas through a pipeline. Another embodiment includes a wireless sensor system, which permits measurement of breathable air pollutants. Furthermore, a method of manufacturing a protective passive electromagnetic sensor pod and passive electromagnetic sensor equipped distribution hardware components is provided.

A micromechanical device that includes a carrier substrate; a sensor device that is situated on the carrier substrate and spaced apart from a surface section of the carrier substrate with the aid of spring elements in such a way that the sensor device is oscillatable relative to the surface section; and at least one stopper element, situated on the sensor device and/or on the surface section of the carrier substrate, which limits a deflection of the sensor device in the direction of the surface section.

A photo acoustic non-destructive measurement apparatus and method for quantitatively measuring texture of a food snack is disclosed. The apparatus includes a laser generating tool, an acoustic capturing device, and a data processing unit. The laser generating tool directs a laser towards a food snack placed on a surface and creates pressure waves that propagate through the air and produce an acoustic signal. The acoustic capturing device records and forwards the signal to a data processing unit. The data processing unit further comprises a digital signal processing module that processes the received acoustic signal. A statistical processing module further filters the acoustic signal from the data processing unit and generates a quantitative acoustic model for texture attributes such as hardness and fracturability. The quantitative model is correlated with a qualitative texture measurement from a descriptive expert panel. Texture of food snacks are quantitatively measured with the quantitative acoustic model.

In a sensor device for detecting moisture on a roadway of a vehicle, particularly a motor vehicle, with at least one structure-borne sound sensor, with at least one circuit carrier, wherein the structure-borne sound sensor is connected in a signal-conducting manner to the circuit carrier, it is provided in a manner important for the invention that at least one structure-borne sound sensor is arranged in a housing, that the housing has at least one flat constructed housing area, that the structure-borne sound sensor is connected to the flat constructed housing area, so as to conduct structure-borne sound signals, and in that the housing is constructed as a resonant body, that the at least one circuit carrier is arranged in the housing, that the housing is provided for mounting in a wheel arch of a vehicle, that at least one connecting means for producing a connection between the housing and the wheel arch is assigned to the housing, and that the connecting means is constructed to be vibration damping, at least in certain sections.circuit carrier.

Non-limiting examples of the present disclosure describe a non-destructive evaluation (NDE) application/service that is configured for NDE of a wooden specimen. The NDE application/service provides a user-friendly graphical user interface that enables inspectors to manage each phase of NDE of a wooden specimen through one or more computing devices. An exemplary NDE application/service is configured to analyze captured acoustic signal data (e.g., ultrasonic signal data) and transform that captured signal data into feature information that is used to more accurately assess the structural integrity of a wooden specimen. For instance, execution of a programmed NDE application/service employs a trained artificial intelligence (AI) classifier that evaluates waveform propagation (e.g., TOF and energy attenuation) through a wooden specimen to classify a condition and a quality the wooden specimen. An NDE report may be generated that provides an inspector with an assessment of the wooden specimen and/or a network of wooden specimen.

A method for measuring precipitation. The method includes a read-in step, a detection step and a determination step. In the read-in step, data packets of at least one ultrasonic sensor are read in. Excitations detected by the ultrasonic sensor within a measuring time window are mapped in a data packet. The excitations are mapped as time values and intensity values. The time value represents a detection point in time of an excitation. The intensity value represents an amplitude of the excitation. In the detection step, excitations are detected as drop events. An excitation is detected as a drop event induced by a pulse of an impacting drop if the time value and/or the intensity value of the excitation satisfies at least one characteristic of a drop event. In the determination step, a precipitation intensity is determined, using a number of drop events detected per time unit.

A gas detection element includes a crystal oscillator and a gas adsorption film formed on the crystal oscillator. The gas adsorption film has a thickness that causes the detection element to have a crystal impedance of no more than 10 times the crystal impedance of the crystal oscillator on which the gas adsorption film is not formed. A resonance frequency variation of the gas detection element due to humidity variation can be kept within a certain range.