Methods and systems for airport noise management, which are based on integrating virtual noise monitoring with actual noise recordings via mobile application system, are disclosed. An example method of improving airport noise management includes receiving information associated with a flight segment, generating a virtual noise map for the flight segment that includes a virtual noise metric generated for each of a multiple user-defined locations that span a projection of the flight path on the Earth. The method includes receiving, from a mobile application at a user location, an audio recording that was recorded in a recording interval, generating, based on the virtual noise map for the flight segment, a virtual noise metric associated with the user location, and determining a validity of the audio recording by comparing the virtual noise metric associated with the user location to a recorded noise metric that is calculated based on the audio recording.

Methods and systems for airport noise management, which are based on integrating virtual noise monitoring with actual noise recordings via mobile application system, are disclosed. An example method of improving airport noise management includes receiving information associated with a flight segment, generating a virtual noise map for the flight segment that includes a virtual noise metric generated for each of a multiple user-defined locations that span a projection of the flight path on the Earth. The method includes receiving, from a mobile application at a user location, an audio recording that was recorded in a recording interval, generating, based on the virtual noise map for the flight segment, a virtual noise metric associated with the user location, and determining a validity of the audio recording by comparing the virtual noise metric associated with the user location to a recorded noise metric that is calculated based on the audio recording.

Systems and methods for operating a distributed fiber optic sensing (DFOS)/distributed acoustic sensing (DAS) system include a length of optical sensing fiber suspended aerially by a plurality of utility poles and in optical communication with a DFOS interrogator/analyzer. The method includes operating the DFOS/DAS system while manually exciting more than one of the poles to obtain frequency response(s) of the excited poles; contrastively training a convolutional neural network (CNN) with the frequency responses obtained; classifying the utility poles using the contrastively trained CNN; and generating a profile map of the excited poles indicative of the classified utility poles.

A method for adjusting sleep time based on sensing data and an electronic device are provided. In the method, a sensor is disabled in a sleep duration of the i.sup.th operation cycle, and the sensor is enabled in a detection duration of the i.sup.th operation cycle. Multiple sensing data corresponding to the i.sup.th operation cycle are obtained from the sensor. A detection duration and a sleep duration of the i+1.sup.th operation cycle are determined based on the sensing data obtained in the detection duration of the i.sup.th operation cycle.

A method for adjusting sleep time based on sensing data and an electronic device are provided. In the method, a sensor is disabled in a sleep duration of the i.sup.th operation cycle, and the sensor is enabled in a detection duration of the i.sup.th operation cycle. Multiple sensing data corresponding to the i.sup.th operation cycle are obtained from the sensor. A detection duration and a sleep duration of the i+1.sup.th operation cycle are determined based on the sensing data obtained in the detection duration of the i.sup.th operation cycle.

Some embodiments of the present disclosure provide a method for locating a vibration signal source. The method may include obtaining sensing signals of at least two vibration sensing devices located at different locations, each of the sensing signals being generated by one of the at least two vibration sensing devices by sensing a vibration signal generated by a vibration, which is from the same vibration signal source; determining, based on the sensing signals, a time difference between time points when the at least two vibration sensing devices located at different locations receive the vibration signal; and determining, based on the time difference, a location of the vibration signal source.

A measurement method includes: generating second measurement data by performing filter processing on first measurement data; calculating a first deflection amount based on an approximate equation of deflection of a structure; calculating a second deflection amount by performing filter processing on the first deflection amount; calculating a third deflection amount based on the second deflection amount and a first-order coefficient and a zero-order coefficient which are calculated based on the second measurement data and the second deflection amount; calculating an offset based on the zero-order coefficient, the second deflection amount, and the third deflection amount; calculating a static response by adding the offset and a product of the first-order coefficient and the first deflection amount; calculating a first dynamic response by subtracting the static response from the first measurement data; calculating a second dynamic response by attenuating an unnecessary signal from the first dynamic response; and calculating an attenuation rate of the second dynamic response based on an envelope amplitude of the second dynamic response.

A measurement method includes: generating second measurement data by performing filter processing on first measurement data; calculating a first deflection amount based on an approximate equation of deflection of a structure; calculating a second deflection amount by performing filter processing on the first deflection amount; calculating a third deflection amount based on the second deflection amount and a first-order coefficient and a zero-order coefficient which are calculated based on the second measurement data and the second deflection amount; calculating an offset based on the zero-order coefficient, the second deflection amount, and the third deflection amount; calculating a static response by adding the offset and a product of the first-order coefficient and the first deflection amount; calculating a first dynamic response by subtracting the static response from the first measurement data; calculating a second dynamic response by attenuating an unnecessary signal from the first dynamic response; and calculating an attenuation rate of the second dynamic response based on an envelope amplitude of the second dynamic response.

A measurement method includes: generating second measurement data by performing filter processing on observation data-based first measurement data; calculating a first deflection amount of a structure based on an approximate equation of deflection of the structure, observation information, and environment information; calculating a second deflection amount by performing filter processing on the first deflection amount; calculating a third deflection amount based on the second deflection amount and a first-order coefficient and a zero-order coefficient which are calculated based on the second measurement data and the second deflection amount, and the second deflection amount; calculating an offset based on the zero-order coefficient, the second deflection amount, and the third deflection amount; calculating a first static response by adding the offset and a product of the first-order coefficient and the first deflection amount; and calculating a first dynamic response by subtracting the first static response from the first measurement data.

A measurement method includes: generating second measurement data by performing filter processing on observation data-based first measurement data; calculating a first deflection amount of a structure based on an approximate equation of deflection of the structure, observation information, and environment information; calculating a second deflection amount by performing filter processing on the first deflection amount; calculating a third deflection amount based on the second deflection amount and a first-order coefficient and a zero-order coefficient which are calculated based on the second measurement data and the second deflection amount, and the second deflection amount; calculating an offset based on the zero-order coefficient, the second deflection amount, and the third deflection amount; calculating a first static response by adding the offset and a product of the first-order coefficient and the first deflection amount; and calculating a first dynamic response by subtracting the first static response from the first measurement data.