48results about How to "Eliminate the impact of detection accuracy" patented technology

The invention provides an output voltage detection circuit. The output voltage detection circuit comprises a flyback transformer, a discharging detection circuit, a pulse generator, a RS trigger and an output voltage detection circuit, wherein the discharging detection circuit comprises a first comparator, the first comparator is used for sampling to acquire a voltage when a secondary winding is discharged and comparing the voltage with a first reference voltage, the pulse generator is used for generating a pulse signal according to a comparison result of the comparator and a periodic drivingsignal, the RS trigger is used for outputting a level signal of indicating whether discharging of the secondary winding is ended or not according to the pulse signal, the output voltage detection circuit comprises a second comparator, a delay circuit and a D trigger, the second comparator is used for sampling a voltage when the secondary winding is discharged and comparing the voltage with a second reference voltage, the delay circuit is used for delaying an output of the second comparator, and the D trigger is used for locking an output signal of the delay circuit according to the level signal, indicating the discharging ending of the secondary winding, output from the RS trigger and outputting a voltage, acquired by sampling, of the flyback transformer after delay time and before delay time of the delay circuit. By the output voltage detection circuit, the output voltage state can be detected after the secondary winding is approximate to complete discharging.

The invention discloses a weld appearance shape based on line laser scanning and a surface defect detection method. The method comprises the steps of acquiring the actual profile curve of any section of a welded joint by laser; carrying out high-dimensional fitting on the actual profile curve to obtain a fitting profile curve, so as to obtain a first-order derivative curve of the fitting profile curve; determining the addressing ranges of the starting point and the final point of the welded joint by the first-order derivative curve; finding a point which has maximum differential value with the fitting profile curve on the actual profile curve as the starting point and final point of the section of the welded joint to obtain an integrally three-dimensional profile image of the welded joint. The welded joint is deemed to have a defect when a differential value between any point of the profile curve of the welded joint and the fitting profile curve exceeds the preset standard value. According to the detection method provided by the invention, the starting point and the final point of the welded joint can be accurately judged, and various surface defects of the welded joint can be precisely judged.

A finger pulse oximeter includes a detecting mainframe and a soft housing (1). The detecting mainframe comprises a circuit board (24) provided with a photoelectric detection module and a detection circuit, and a display screen (23) electrically connected with the circuit board (24). The soft housing (1) comprises a soft finger stall (10) which is provided with an inserting hole (101) for being inserted by a finger of user, and a first receiving portion (11) integrally formed with the soft finger stall (10). The circuit board (24) and display screen (23) of the detecting mainframe are received and fixed in the first receiving portion (11) of the soft housing (1).

The invention provides a method for eliminating circular symmetry phase computer-generated holography substrate fringe pattern distortion. After light emitted from an expanding light source passes through two arms of a Twyman-Green interferometer, equal inclination interference occurs, equal inclination interference circular fringes which are sparse in the center and dense on edges are generated and recorded through an electric coupling device, a circular grating is generated through concentric circular fringes which are generated through the equal inclination interference, and a computer-generated holography substrate is processed through opaque liquid so that a circularly symmetric two-value amplitude type grating is generated; the concentric circular strips etched on the circularly symmetric two-value amplitude type grating and the equal inclination interference circular fringes on the circular grating are set so that a moire fringe condition is formed; and a moire fringe pattern with fringe pattern distortion information and a moire fringe pattern without the fringe pattern distortion information are recorded through a computer, the two moire fringe patterns are compared, data are processed so that a computer-generated holography substrate fringe pattern distortion value is obtained, influence on an aspheric surface detection result by the computer-generated holography substrate fringe pattern distortion is eliminated through an artificially synthesized distortion pattern, and aspheric surface high-accuracy detection is achieved.

The invention relates to a metallic nano material toxicity detection board and a detection method thereof in the nano technical field. The toxicity detection board comprises a base, a board cover and a detection cell, and is characterized in that the base is a rectangular container; a plurality of vertical positioning columns are arranged on the inside bottom of the base so that the edges of the detection cell can be located on the base; and clasping edges are arranged at the periphery of the board cover to clasp the edges of the base. The method of the invention takes the possible degradation and metabolic components inside modification molecules into full consideration, and determines the cytotoxicity grade of metallic nano particles through a double step detection method, so that the selection of proper metallic nano particles and the modification molecules in future can be standardized and unified, and easy to repeat and compare.

The invention discloses a self-adaptive detection control system and method for the narrow gap weaving arc welding width. By the adoption of the self-adaptive detection control system and method, the defects that when the existing narrow gap welding width is nonuniform, undercut, slag inclusion, nonuniform weld joints and the like are caused are overcome. According to the main points of the technical scheme, in the welding process, a weaving arc sensor controls an electric arc to swing so as to conduct scanning in the position of a slope, signals are collected by the sensor, the centering position deviation is determined by comprising the pulse number on the left side with the pulse number on the right side, the welding width change is judged by comparing the pulse sum, the swing amplitude of a welding torch is adjusted, and accordingly self-adaptive control and automatic centering of a welding gun are achieved. A detection algorithm is simple, the responds speed is high, the detection accuracy is high, the welding stability of the narrow gap weaving arc welding is improved, and welding defects are avoided.

The invention provides a machine vision-based method for processing deviation curves between finishing strip steel stands, and belongs to the technical field of steel rolling automation. This method uses the binocular line array camera installed on the top of the frame to detect the strip steel. First, extract the strip steel edge from the collected strip steel image, and obtain the edge coordinates of the left and right sides of the strip steel image; then calculate the width of the strip steel. Then calculate the difference between the actual strip width measured by the exit width measuring instrument and the strip width obtained by detection, and form a judgment model through data fitting, and carry out the deviation data corresponding to the width difference exceeding the threshold. Filter, take the previous deviation value as the deviation value of this point. The method calculates the difference between the strip width measured at the detection moment and the actual width, and filters the deviation data corresponding to the width difference data whose difference exceeds a threshold, so as to achieve the purpose of removing noise from the deviation curve.