Automatic Identification of Sound Source Position Coordinates Using a Sound Metric System of Sensors Linked with an Internet Connection

In this article, we deal with the problem of increasing the accuracy of the automatic determination of the coordinates of the sound source location. We propose a new algorithm for the identification of the sound source’s position coordinates based on a system of three equations of the second order describing the dynamics of acoustic wavefront propagation. The implementation of the algorithm is carried out by a distributed automated system, which includes autonomous sensor-receivers located in the field and connected to the server of this system via wireless communication channels. Sensor-receivers are placed at the vertices of a flat, symmetrical figure with 4 axes of symmetry of the second order (square). The proposed algorithm takes into account the change in the phase speed of the sound wave when the temperature, air humidity, wind direction and speed change and allows for the determination of the coordinates of the position of the sound source with an error of no more than 1%. The experiment with real input data was carried out in a simulated environment, which was created on the Node.js platform

Automatic Identification of Sound Source Position Coordinates Using a Sound Metric System of Sensors Linked with an Internet Connection

In this article, we deal with the problem of increasing the accuracy of the automatic determination of the coordinates of the sound source location. We propose a new algorithm for the identification of the sound source’s position coordinates based on a system of three equations of the second order describing the dynamics of acoustic wavefront propagation. The implementation of the algorithm is carried out by a distributed automated system, which includes autonomous sensor-receivers located in the field and connected to the server of this system via wireless communication channels. Sensor-receivers are placed at the vertices of a flat, symmetrical figure with 4 axes of symmetry of the second order (square). The proposed algorithm takes into account the change in the phase speed of the sound wave when the temperature, air humidity, wind direction and speed change and allows for the determination of the coordinates of the position of the sound source with an error of no more than 1%. The experiment with real input data was carried out in a simulated environment, which was created on the Node.js platform