Abstract: A high-frequency composite impactor including a high-frequency axial and a torsional impact assembly is disclosed. The high-frequency axial impact assembly includes an upper self-excited oscillation cavity, a lower self-excited oscillation cavity, an adjustment block and a lock nut. The torsional impact assembly includes an upper end cover, a reversing switch, a pendulum, a lower shell, a lower end cover, a nozzle, a connecting block and a retaining ring. The high-frequency axial impact assembly converts the flowing drilling fluid into a pulsed jet to achieve a high-frequency axial impact. The torsional impact assembly enables a torsional impact through a shunt, and finally enables a high-frequency composite impact, which can effectively reduce the stick-slip of the drill string, jump drilling and other downhole accidents. By reducing the friction between the drill string and the borehole wall, the impactor can reduce WOB loss, increase the ROP, and improve the drilling efficiency.

Abstract: An infrared thermal imager and an OpenMV machine vision module provided in a data acquisition device are used to collect crop surface temperature data and image data, respectively, and transmit the data to a computer for processing by a Raspberry Pi module via a wireless transmission module. After reading the image data, the computer obtains color components and growth parameters of the crop, and merges the color components and temperature data to assist in building an early warning model. The system and method enable real-time, continuous and nondestructive monitoring of crop growth information to provide references for adjustment and control of greenhouse environmental parameters.

Abstract: An infrared thermal imager and an OpenMV machine vision module provided in a data acquisition device are used to collect crop surface temperature data and image data, respectively, and transmit the data to a computer for processing by a Raspberry Pi module via a wireless transmission module. After reading the image data, the computer obtains color components and growth parameters of the crop, and merges the color components and temperature data to assist in building an early warning model. The system and method enable real-time, continuous and nondestructive monitoring of crop growth information to provide references for adjustment and control of greenhouse environmental parameters.