A safety system for residential and commercial use includes a plurality of sensor modules that may be distributed about the environment, and that are in communication with a remote server environment and with other devices over a wireless communication network (e.g., cellular, Wi-Fi). Each sensor module includes a plurality of sensors that are capable of measuring or detecting characteristics of the environment such as smoke, small particulate, large particulate, chemicals, gasses, temperature, humidity, pressure, geolocation, and other characteristics. Analysis of sensor data is performed locally on the sensor module, as well as remotely on a server, in order to fuse and consider multiple sensor data points to identify emergency and non-emergency scenarios. By fusing and analyzing sensor data emergencies can be detected more quickly, and false alarms can be filtered out and avoided.

A system for estimating the angular position of a rotating shaft in an aircraft, the system including at least three electromagnetic effect sensors. The system including a flight controller that runs a voting algorithm, wherein the voting algorithm computes an output datum based on shaft position datum that qualify as both active and admissible. Furthermore, system may include, as a component of the voting algorithm, a banning process where sensors that repeatedly return datum that are either not active or not admissible can be banned.

A system for dynamically adjusting an operation of a magnetostrictive position sensor is provided. The system includes a controller configured to receive an electrical signal from the magnetostrictive position sensor that includes a response pulse, identify factory calibration data that correlates initial recorded values of amplitudes of response pulses received from the magnetostrictive position sensor at different locations of a position magnet along a length of the magnetostrictive position sensor, identify an initial amplitude of the response pulse based on the factory calibration data, calculate a difference between the initial amplitude and an amplitude of the response pulse, determine if the difference is greater than a threshold value, and generate an alert in response to determining that the difference is greater than the threshold value.

Methods and system for detecting tampering of a meter. A continuous stream of raw sensor values can be received from one or more meters among a group of meters. In response to receiving the continuous stream of raw sensor values from the meter(s), a model of normal sensor values can be automatically constructed for each meter among the group of meters based on the raw sensor values obtained from the meter(s) and based on data obtained through an ongoing development of the meter(s) or through automated machine learning by the meter(s). The model of normal sensor values can be used to detect abnormal conditions with respect to the meter(s). The abnormal conditions detected with respect to the meter(s) are potentially indicative of a removal of the meter(s) or of an attempt to physically tamper with the meter(s).

Methods and system for detecting tampering of a meter. A continuous stream of raw sensor values can be received from one or more meters among a group of meters. In response to receiving the continuous stream of raw sensor values from the meter(s), a model of normal sensor values can be automatically constructed for each meter among the group of meters based on the raw sensor values obtained from the meter(s) and based on data obtained through an ongoing development of the meter(s) or through automated machine learning by the meter(s). The model of normal sensor values can be used to detect abnormal conditions with respect to the meter(s). The abnormal conditions detected with respect to the meter(s) are potentially indicative of a removal of the meter(s) or of an attempt to physically tamper with the meter(s).

A detection device includes: a plurality of sensors configured to detect a value to be detected; and a processing section configured to process a detection signal output from each of the plurality of sensors. A periodicity with which one or some of the plurality of sensors output detection signals is shorter than a periodicity with which others of the plurality of sensors output detection signals.

Various embodiments of the teachings herein include methods, apparatuses, and computer-readable storage media for sensor measurements processing. An example method 100 includes: getting (S101) measurements by a group of sensors; estimating (S102) initial true states of the physical processes; and repeating the following until convergence: calculating (S103) reliability scores of the group of sensors such that a more reliable sensor should be more likely to provide measurements which are closer to real state of the physical process monitored by the sensor; and estimating (S104), based on the calculated reliability scores, true states of the physical processes, such that the real state of a physical process should be closer to measurements by a more reliable sensor.

A sensor system and method use channel information to generate redundant angle measurements for sensing rotation of magnets about a given axis of rotation. It was observed that magnetic field strength on a circle, centered on the axis of rotation but in a plane perpendicular to it, have a component parallel to the axis that varies sinusoidally as a function of the angle around the circle. By placing magnetic field sensors equiangularly around such a circle, and summing their field strengths with appropriate weights, the angle of magnet rotation may be computed in a manner that is immune to the presence of stray fields. Moreover, fewer than all channels of sense data may be combined to form redundant estimates of the angle of rotation, to permit continued operation when one of the sensors has failed.

A sensor assembly for a vehicle includes a sensor element and at least two control devices, each having an evaluation and control unit and a power source. A first evaluation and control unit is connected to a first power source in a first control device, and a second evaluation and control unit is connected to a second power source in a second control device. The first control device comprises a switching device which connects a first connection of the sensor element to the first power source and/or to the second power source. A second connection of the sensor element is connected to the second control device. A sensor current flowing through the sensor element is modulated with information relating to a detected measurement variable. The first evaluation and control unit evaluates the sensor current detected between the connected power source and the sensor element.

A sensor assembly for a vehicle includes a sensor element and at least two control devices, each having an evaluation and control unit and a power source. A first evaluation and control unit is connected to a first power source in a first control device, and a second evaluation and control unit is connected to a second power source in a second control device. The first control device comprises a switching device which connects a first connection of the sensor element to the first power source and/or to the second power source. A second connection of the sensor element is connected to the second control device. A sensor current flowing through the sensor element is modulated with information relating to a detected measurement variable. The first evaluation and control unit evaluates the sensor current detected between the connected power source and the sensor element.