Patent classifications
G01D21/00
Univariate anomaly detection in a sensor network
Embodiments determine anomalies in sensor data generated by a sensor by receiving an evaluation time window of clean sensor data generated by the sensor. Embodiments receive a threshold value for determining anomalies. When the clean sensor data has a cyclic pattern, embodiments divide the evaluation time window into a plurality of segments of equal length, wherein each equal length comprises the cyclic pattern. When the clean sensor data does not have the cyclic pattern, embodiments divide the evaluation time window into a pre-defined number of plurality of segments of equal length. Embodiments convert the evaluation time window and each of the plurality of segments into corresponding curves using Kernel Density Estimation (“KDE”). For each of the plurality of segments, embodiments determine a Kullback-Leibler (“KL”) divergence value between corresponding curves of the segment and the evaluation time window to generate a plurality of KL divergence values.
Univariate anomaly detection in a sensor network
Embodiments determine anomalies in sensor data generated by a sensor by receiving an evaluation time window of clean sensor data generated by the sensor. Embodiments receive a threshold value for determining anomalies. When the clean sensor data has a cyclic pattern, embodiments divide the evaluation time window into a plurality of segments of equal length, wherein each equal length comprises the cyclic pattern. When the clean sensor data does not have the cyclic pattern, embodiments divide the evaluation time window into a pre-defined number of plurality of segments of equal length. Embodiments convert the evaluation time window and each of the plurality of segments into corresponding curves using Kernel Density Estimation (“KDE”). For each of the plurality of segments, embodiments determine a Kullback-Leibler (“KL”) divergence value between corresponding curves of the segment and the evaluation time window to generate a plurality of KL divergence values.
Control device, communication system, and control method
When the measurement values measured by a first sensor among a plurality of sensors installed in a dispersed manner at a specific location, in first cycles are determined to be abnormal values, a control device activates the first sensor in second cycles that are shorter than the first cycles. Moreover, when the abnormal values are included in the trend of temporal variation, the control device activates a plurality of second sensors, which is installed around the first sensor, in the second cycles. Moreover, when the measurement values measured by the first sensor and the plurality of second sensors in the second cycles are included in the trend of surface-direction distribution, the control device outputs the measurement values measured by the first sensor and the plurality of second sensors.
Control device, communication system, and control method
When the measurement values measured by a first sensor among a plurality of sensors installed in a dispersed manner at a specific location, in first cycles are determined to be abnormal values, a control device activates the first sensor in second cycles that are shorter than the first cycles. Moreover, when the abnormal values are included in the trend of temporal variation, the control device activates a plurality of second sensors, which is installed around the first sensor, in the second cycles. Moreover, when the measurement values measured by the first sensor and the plurality of second sensors in the second cycles are included in the trend of surface-direction distribution, the control device outputs the measurement values measured by the first sensor and the plurality of second sensors.
COMPUTER-ASSISTED METHOD AND SYSTEM FOR DETERMINING AND VISUALISING FORCE FLOWS IN A SCAFFOLD
The invention relates to a system and method for determining and visualizing force flows in a bar supporting structure (1), which is preferably in the form of scaffolding, comprising a plurality of ladder or strut elements (5a-5c) which extend vertically and are set up in a disputed manner relative to one another and which are detachably connected via scaffolding couplings (7) to strut elements (6a-6d) extending diagonally and/or horizontally transversely thereto, wherein at least a load-critical part of the support elements (5a-5c) and/or strut elements (6a-6d) and/or scaffold couplings (7) of the bar structure (1) are provided with load sensors (8a-8c) for detecting static operating load values, the measured values of which are analysed in real time by a downstream analysis unit (9) for evaluating current load situations.
MEASURING SYSTEM FOR DETECTING A PHYSICAL PARAMETER AND METHOD FOR OPERATING A MEASURING SYSTEM
A measuring system for detecting a physical parameter, includes a measuring sensor for detecting the physical parameter, which sensor has a first, second and at least one third terminal. The measuring system also includes a first power supply unit for outputting electrical energy to the measuring sensor with a first voltage with respect to a first ground potential via the first and the second terminal, and a second power supply unit for outputting electrical energy to the measuring sensor with a second voltage with respect to a second ground potential via the third and the second terminal or a fourth terminal. The first ground potential can differ from the second ground potential at least temporarily. The first power supply unit includes an additional voltage source via which the second terminal is electrically connected to the first ground potential.
EXTENSIBLE ENVIRONMENTAL DATA COLLECTION PACK
An environmental data collection system includes one or more smart sensors, a controller coupled to the one or more smart sensors, the controller including one or more modular decoders having a processor and a memory storing computer readable program code, that when executed by the processor, causes the modular decoder to configure communication and data retrieval between the one or more smart sensors and the controller, perform signal processing on data retrieved from the one or more smart sensors specific to the sensing capabilities of the one or more smart sensors, convert the signal processed data to a fixed bit format, and convey the fixed bit data to the controller.
Method and device for the cyclic digital transmission of a position value of a moving object with inertial mass
In a method and device for the cyclic digital transmission of a position value of a moving object with inertial mass, the value range of the transmitted position value is restricted such that no complete rotation or, in the case of a linear motion, other complete period caused by mechanical conditions may be mapped, and the actual position is formed by detecting value-range exceedances in an evaluation unit.
Method and device for the cyclic digital transmission of a position value of a moving object with inertial mass
In a method and device for the cyclic digital transmission of a position value of a moving object with inertial mass, the value range of the transmitted position value is restricted such that no complete rotation or, in the case of a linear motion, other complete period caused by mechanical conditions may be mapped, and the actual position is formed by detecting value-range exceedances in an evaluation unit.
Hybrid modular wireless sensor
A wireless sensor assembly includes a housing defining a first aperture for receiving an external sensor, and a second aperture defining a communication port, a wireless power source mounted within the housing, and electronics mounted to the housing and configured to receive power from the wireless power source and to be in electrical communication with the external sensor. The electronics include a wireless communications component, and firmware configured to manage a rate of data transmittal from the wireless communications component to an external device. The communication port is configured to receive a wire harness connected to the external sensor.