In variants, a system management platform can include a set of system representations and a set of platform-standard element models. Each system representation can include a set of component representations related by a set of constraint representations 140, which can represent the sensing components of a system and the relationships therebetween, respectively, and store component-specific and constraint-specific calibration parameter values, respectively. The component representations 120 can optionally reference the element models.

In variants, a system management platform can include a set of system representations and a set of platform-standard element models. Each system representation can include a set of component representations related by a set of constraint representations 140, which can represent the sensing components of a system and the relationships therebetween, respectively, and store component-specific and constraint-specific calibration parameter values, respectively. The component representations 120 can optionally reference the element models.

Methods and apparatus for a detector system having a photodetector and an amplifier to amplify the photodetector signal. A discriminator generates an active output signal when the output from the amplifier is greater than a threshold. An injection circuit is coupled to the input of the amplifier. The injection circuit is configured to selectively inject a test pulse that mimics a pulse from the photodetector for verifying operation of the detector system.

Methods and apparatus for a detector system having a photodetector and an amplifier to amplify the photodetector signal. A discriminator generates an active output signal when the output from the amplifier is greater than a threshold. An injection circuit is coupled to the input of the amplifier. The injection circuit is configured to selectively inject a test pulse that mimics a pulse from the photodetector for verifying operation of the detector system.

A measurement operation parameter adjustment apparatus that enables efficient measurement of the placement position of an object to be measured even in the case where there are variations in the placement positions, the sizes, and the product types of objects to be measured includes a machine learning device. The machine learning device observes measurement operation parameter data representing the measurement operation parameter of the measurement operation and measurement time data representing time taken to perform the measurement operation as a state variable representing a current environmental state and performs learning or decision-making using a learning model obtained by modeling adjustment of the measurement operation parameter based on the state variable.

A measurement operation parameter adjustment apparatus that enables efficient measurement of the placement position of an object to be measured even in the case where there are variations in the placement positions, the sizes, and the product types of objects to be measured includes a machine learning device. The machine learning device observes measurement operation parameter data representing the measurement operation parameter of the measurement operation and measurement time data representing time taken to perform the measurement operation as a state variable representing a current environmental state and performs learning or decision-making using a learning model obtained by modeling adjustment of the measurement operation parameter based on the state variable.

A calibrator includes: a position calculator which calculates a relative position between a first detector and a second detector on the basis of detection signals acquired respectively from the first detector, the second detector, and a third detector positioned with respect to a scale attached to a rotating body; and an error calculator which calculates error information on rotational position information of the rotating body on the basis of the relative position calculated by the position calculator as well as the detection signals.

The present invention relates to the field of Internet of Things (IoT), and provides a gas leakage detection method based on a compound IoT and an IoT system. According to the gas leakage detection method based on the compound IoT and the IoT system provided by the present invention, whether a gas pipeline of a user has gas leakage or not is judged via a user participation manner, the judgment manner is intelligent, the judgment result is accurate and thus the gas safety of the user is guaranteed.

The present invention relates to the field of Internet of Things (IoT), and provides a gas leakage detection method based on a compound IoT and an IoT system. According to the gas leakage detection method based on the compound IoT and the IoT system provided by the present invention, whether a gas pipeline of a user has gas leakage or not is judged via a user participation manner, the judgment manner is intelligent, the judgment result is accurate and thus the gas safety of the user is guaranteed.

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.