A: Based on the beamforming method, the equipment calculates the position where the sound is emitted. It filters and weights the signals collected by the sensors in the equipment and then superimposes them to form a beam. The beam is then guided through searching for the possible position of the sound source in the space to accurately locate the position and sound intensity of the gas leakage in real time.

A: The spectral acoustic signature of gas leakage sound waves is obvious, but it is not 100% unique. Many environmental noises may also have similar characteristics, which can lead to false alarms. This equipment uses deep learning neural networks to identify gas leakage sound waves. Through the training of tens of millions of sound waves under various conditions, a robust model is formed, which can eliminate the interference of most noises and achieve accurate positioning and capture. Moreover, through simple training of operators, the imaging results can also be quickly identified as gas leakage.

A: When a leakage point is detected, you can operate the keyboard on the device interface to take photos or record videos. The saved data can be directly imported into a USB flash drive through a data cable.

A: ① Fast detection speed, real-time display of detection results, converting sound into images for intuitive display;
② Wide detection range, non-contact detection, with a detection distance of up to 100 meters or more;
③ Compact equipment with reasonable design, allowing single-handed operation, and long-lasting battery life for continuous work for 5.5 hours;
④ Accurate detection, low false alarm rate, and no restriction on gas types.

A: This equipment is easy to operate, ready to use after turning on, and requires no maintenance later.