An acoustic sensor assembly includes a non-directional acoustic sensor having a first directional pattern, a plurality of directional acoustic sensors surrounding the non-directional acoustic sensor and including a plurality of resonators having different resonance frequencies from each other, each of the plurality of directional acoustic sensors having a second directional pattern, and a processor configured to obtain output signals from the non-directional acoustic sensor and the plurality of directional acoustic sensors. The processor is further configured to calculate an acoustic signal having directivity by selecting any one or any combination of the obtained output signals or selectively combining the obtained output signals, and obtain sound around the acoustic sensor assembly, using the calculated acoustic signal.

A sensor device may transform sensor data into spectrum data to be processed by a computer device. In an example, the sensor device may detect acceleration forces caused by a vibration. The sensor device may transform the acceleration forces into sensor data. The sensor device may transform the sensor data into spectrum data. The sensor device may execute a spectrum analysis on the spectrum data. The sensor device may generate a packet that includes a result of the spectrum analysis as a payload of the packet. A format of the packet may be based on a protocol of a communication link between the sensor device and the computer device. The sensor device may send the packet to the computer device through the communication link.

One aspect of the present technology relates to a safety cable vibration monitoring system. The system includes a vibration sensor configured to be coupled to a safety cable. A vibration monitoring computing device is coupled to the vibration sensor. The vibration monitoring computing device includes a processor and a memory coupled to the processor which is configured to execute one or more programmed instructions comprising and stored in the memory to receive data from the vibration sensor. An occurrence of a fall event related to use of the safety cable is determined based on the received data from the vibration sensor. A method of monitoring a safety cable and a safety cable monitoring network are also disclosed.

One aspect of the present technology relates to a safety cable vibration monitoring system. The system includes a vibration sensor configured to be coupled to a safety cable. A vibration monitoring computing device is coupled to the vibration sensor. The vibration monitoring computing device includes a processor and a memory coupled to the processor which is configured to execute one or more programmed instructions comprising and stored in the memory to receive data from the vibration sensor. An occurrence of a fall event related to use of the safety cable is determined based on the received data from the vibration sensor. A method of monitoring a safety cable and a safety cable monitoring network are also disclosed.

An analyzer includes: a reference map receiver configured to receive information regarding a reference map in which reference data are plotted in advance on the basis of similarity index between the reference data; and a new data plotting unit configured to plot new data different from the reference data on the reference map on the basis of the similarity index between the new data and a part or all of the reference data on the reference map.

Disclosed are an object damage inspection system and an object damage inspection method using the same. The system includes a vibration exciter for setting a vibration exciting pattern and applying a physical force to one face of the fixed test object based on the set vibration exciting pattern; a sensor contacting a portion of the test object, wherein the sensor collects a vibration signal generated from the test object when the physical force is applied thereto; and a damage determiner configured to determine whether the test object has physical damage, based on a test object measurement frequency signal and a reference object measurement frequency signal, wherein the test object measurement frequency signal includes a frequency domain signal into which the vibration signal collected by the sensor is converted.

Disclosed are an object damage inspection system and an object damage inspection method using the same. The system includes a vibration exciter for setting a vibration exciting pattern and applying a physical force to one face of the fixed test object based on the set vibration exciting pattern; a sensor contacting a portion of the test object, wherein the sensor collects a vibration signal generated from the test object when the physical force is applied thereto; and a damage determiner configured to determine whether the test object has physical damage, based on a test object measurement frequency signal and a reference object measurement frequency signal, wherein the test object measurement frequency signal includes a frequency domain signal into which the vibration signal collected by the sensor is converted.

Disclosed are an object damage inspection system and an object damage inspection method using the same. The system includes a vibration exciter for setting a vibration exciting pattern and applying a physical force to one face of the fixed test object based on the set vibration exciting pattern; a sensor contacting a portion of the test object, wherein the sensor collects a vibration signal generated from the test object when the physical force is applied thereto; and a damage determiner configured to determine whether the test object has physical damage, based on a test object measurement frequency signal and a reference object measurement frequency signal, wherein the test object measurement frequency signal includes a frequency domain signal into which the vibration signal collected by the sensor is converted.

A positioning method for a specific sound source is provided. An acoustic signal in each of multiple positions of on a preset path is respectively collected through a sensor. A pre-processing is performed on the acoustic signal to obtain multiple signal features. The signal features are used as an input of a deep learning model. The deep learning model is used for a signal recognition to obtain multiple specific sound signals of each position. An autocorrelation function operation is performed on the specific sound signals obtained at a same position to obtain multiple autocorrelation coefficients. A representative value among the autocorrelation coefficients is selected as a representative coefficient corresponding to each position. A specific sound source position is found according to the representative coefficient of each position.

A positioning method for a specific sound source is provided. An acoustic signal in each of multiple positions of on a preset path is respectively collected through a sensor. A pre-processing is performed on the acoustic signal to obtain multiple signal features. The signal features are used as an input of a deep learning model. The deep learning model is used for a signal recognition to obtain multiple specific sound signals of each position. An autocorrelation function operation is performed on the specific sound signals obtained at a same position to obtain multiple autocorrelation coefficients. A representative value among the autocorrelation coefficients is selected as a representative coefficient corresponding to each position. A specific sound source position is found according to the representative coefficient of each position.