Abstract: The present invention is a method for quickly determining the position of a signal mouthpiece of spraying equipment. The spraying equipment includes a bolt, a water intake signal mouthpiece, an outlet cover plate, a sprayer body, a water storage vessel, a scale line, a conduit and a water inlet connecting mouthpiece. The water intake signal mouthpiece is adjusted to a critical point, and a reference position of the water intake signal mouthpiece is marked. The water intake signal mouthpiece is adjusted to obtain a water intake area S1. The conduit is disconnected with a water intake port. The time t1 is recorded, and the flow coefficient ? of the signal water of the spraying equipment is calculated. M scale lines are drawn equidistantly on the outlet cover plate, and are marked with scales in turn. The optimization of the position of the signal mouthpiece of the spraying equipment is realized.

Abstract: The present disclosure provides a photoacoustic image reconstruction method for suppressing artifacts, including: acquiring relevant parameters of the system; selecting a suitable pixel size and dividing the imaging area into multiple pixels; traversing each pixel, calculating multiple delay and summations according to the time sequence, and restoring the signal waveform; calculating the signal envelope of the signal recovered from each pixel, performing signal suppression, suppressing artifacts in the signal, and retaining real signal; the real signal value in the suppressed signal is taken as the gray value of the pixel in the image, and is saved in the picture to complete the reconstruction of the image.

Abstract: The present disclosure provides a photoacoustic image reconstruction method for suppressing artifacts, including: acquiring relevant parameters of the system; selecting a suitable pixel size and dividing the imaging area into multiple pixels; traversing each pixel, calculating multiple delay and summations according to the time sequence, and restoring the signal waveform; calculating the signal envelope of the signal recovered from each pixel, performing signal suppression, suppressing artifacts in the signal, and retaining real signal; the real signal value in the suppressed signal is taken as the gray value of the pixel in the image, and is saved in the picture to complete the reconstruction of the image.

Abstract: A hollow-core antiresonant fiber (HC-ARF) with nested supporting rings (NSRs) has a fiber structure that includes from the inside out a fiber core, a first silica antiresonant ring (SARR), a first air antiresonant ring (AARR), a second SARR, a second AARR and an external silica wall. The fiber structure further includes a first NSR within the first AARR and a second NSR within the second AARR. The HC-ARF with NSRs has advantages and benefits of low confined loss (CL), large bandwidth, simple structure and very good bending characteristics. Therefore, the application fields of HC-ARF are greatly expanded.

Abstract: A hollow-core antiresonant fiber (HC-ARF) with nested supporting rings (NSRs) has a fiber structure that includes from the inside out a fiber core, a first silica antiresonant ring (SARR), a first air antiresonant ring (AARR), a second SARR, a second AARR and an external silica wall. The fiber structure further includes a first NSR within the first AARR and a second NSR within the second AARR. The HC-ARF with NSRs has advantages and benefits of low confined loss (CL), large bandwidth, simple structure and very good bending characteristics. Therefore, the application fields of HC-ARF are greatly expanded.