4results about How to "Solving Adaptive Problems" patented technology

The utility model is suitable for the technical field of pipeline descaling, and provides large-pipe-diameter special equipment for an electronic descaling system, which comprises a large-pipe-diameter pipeline, the primary coil assembly is arranged on the outer side wall of the large-diameter pipeline in a sleeving manner; wherein the primary coil assembly comprises a first coil shell and a second coil shell, the first coil shell and the second coil shell are arranged on the outer side of the large-diameter pipeline, and the first coil shell is located on one side of the second coil shell; the first half coil is arranged in the first coil shell; the second half coil is arranged in the second coil shell; the primary coil assembly, the core element assembly and the signal generator are matched with one another, and the multiple electronic descaling devices are arranged at intervals, so that the problem that the electronic descaling devices adapt to large-diameter pipelines is solved, enough magnetic field level exists in the whole magnetic core, correct magnetic field level is established on the whole circumference of the large-diameter pipelines, and the large-diameter pipelines can be descaled. Fluid in the pipeline is effectively treated, and then the descaling effect is guaranteed.

The utility model discloses a curved surface pressure sensor based on a magnetic field, and aims to solve the problem that when an existing flexible pressure sensor based on the magnetic field is matched with a complex curved surface, wiring of a PCB is complex, or the consistency of readings of different Hall elements is low, and consequently the accuracy of a measurement result is reduced. The device comprises a flexible magnet layer, a hard shell layer and a flexible printed circuit board, the hard shell layer is a curved surface, and the inner wall of the hard shell layer is uniformly provided with mounting grooves for placing the stiffening plates; the flexible printed circuit board is provided with a plurality of reinforcing plates which are arranged at intervals, and the plurality of Hall elements are arranged on the plurality of reinforcing plates in a one-to-one correspondence manner; the flexible printed circuit board is connected with the hard printed circuit board through a connector; the problem of adaptation to a complex curved surface is solved, the consistency of the interlayer spacing of the Hall sensor and the flexible magnet is kept, the measurement result of the sensor is more accurate and stable, and the sensor has the capacity of covering the shape of a complex product in a large range.

A square battery charge and discharge test motion mechanism and application method, the motion mechanism includes: a mounting base plate; a voltage regulating drive mechanism, arranged on the mounting plane, including a driving part and a pushing part, for pressurizing or releasing the battery tray mechanism; a battery tray mechanism, arranged on the mounting plane, including a base plate, a block and a plurality of battery trays, for carrying square batteries; and a positive and negative electrode conduction mechanism, arranged on the mounting plane, including a top plate, a probe mechanism and a lifting mechanism, for contacting the positive and negative electrodes of the square battery; the application method includes the following steps: placing the battery tray on the base plate, and after it is in place, the voltage regulating drive mechanism pressurizes the square battery; a CCD camera feeds back the position data of each battery to the electric cylinder assembly to adjust the probe position, and detects the square battery. The beneficial effects of the present invention are: fully automatic, strong compatibility of the battery tray; the test probe can also self-adjust and adapt to different models of batteries.

The present application relates to the technical field of liquid crystal display backlight module detection, and discloses a backlight module light leakage determination method and system based on machine learning. The backlight module light leakage determination method based on machine learning comprises the following steps: collecting backlight module optical characteristic matrices; screening suspicious light leakage areas according to adaptive threshold segmentation of ambient light; implementing local contrast enhancement on the suspicious light leakage areas, combining multi-scale pyramid analysis to strengthen weak light leakage signals; quantifying micro-area light leakage structure complexity by means of box dimension calculation and multi-fractal spectrum analysis, and constructing a fractal feature vector; establishing a light leakage and defect mapping based on a machine learning correlation model, and outputting light leakage details and defect types after scoring. The present application combines fractal geometry theory, image enhancement technology and machine learning algorithms, realizes accurate quantification of light leakage morphology and automatic recognition of defect types, improves detection accuracy, reduces false positive rate, reduces missed detection rate, and improves detection sensitivity.