54results about How to "Eliminate human interference" patented technology

The invention relates to a metal bridge electric explosion device, and provides a metal bridge energy conversion component and a manufacturing method of the metal bridge energy conversion component. The metal bridge energy conversion component comprises a substrate, a metal bridge layer, a fly die layer and an accelerating chamber layer. The metal bridge layer is formed on the surface of the substrate and made of metal materials in an additive mode through an additive manufacturing technology. The fly die layer is formed on the partial region of the metal bridge layer and the partial region of the substrate and made of non-metal materials in an additive mode through the additive manufacturing technology. The accelerating chamber layer is formed on the fly die layer and made of non-metal materials in an additive mode through the additive manufacturing technology, and a small hole is formed in the center area of the accelerating chamber layer. The region, without being covered with non-metal materials, of the metal bridge layer serves as an electrode of the metal bridge energy conversion component. According to the technical scheme, the structures of various layers of the metal bridge energy conversion component are formed through the additive technology, layered structures of core components of the metal bridge electric explosion device are formed in a sequential forming mode, and therefore man-made interference in the manufacturing process is eliminated, and accurate alignment of various components and close attachment of various layers are guaranteed.

The invention provides a vehicle seat hardness-in-the-loop testing equipment and method, comprising a mobile main support, a hardness testing module and a mobile sub-support; the mobile main support comprises a column, a wheel set at the bottom of the column, one end of which is connected with The beam connected with the column; the hardness test module is connected with the beam and can move along the length of the beam, and the hardness test module includes a sliding table assembly, a force sensor connected with the lifting end of the sliding table assembly, and a pressure plate connected with the force sensor; The mobile sub-support includes a sub-column, a sub-wheel set at the bottom of the sub-column, and a beam limiter located on the sub-column. The vehicle seat hardness in-ring test device of the present invention can perform hardness test under real vehicle conditions, does not damage the entire seat surface, is simple to operate, can test the seat hardness objectively and accurately, and the test results are consistent with subjective evaluation.

The invention provides a biochemical immune analyzer and a working method thereof. The biochemical immune analyzer comprises a disc, a rotating shaft, a tray, an elastic member and movable members, wherein the rotating shaft is a pattern shaft, and the inner wall of a through hole of the disc is in match with the outer edge of the rotating shaft and is suitable for the rotating shaft to pass through the through hole; the tray is arranged on the rotating shaft in a sleeving mode, and a through hole matched with the outer edge of the rotating shaft is formed in the tray; the elastic member is arranged inside the rotating shaft; and parts of the movable members connected with the elastic member are positioned outside the outer edges of the rotating shaft, and the exposed part of the movable members have arc-shaped surfaces. The biochemical immune analyzer and the working method thereof have the advantages of simple structure, complete functions, convenient operation and the like.

The invention discloses a human anti-thrombin III heparin combination ratio detection method. The detection method comprises the steps of using an efficient size exclusion chromatography column and a sodium salt buffer solution with mobile phases comprising isopropanol and phosphoric acid at pH of 6.0-7.5 to calculate a combination ratio between the human anti-thrombin III and the heparin through a ratio of an area of characteristic peak and a corresponding standard curve; adding inactivated human anti-thrombin III into a standard product of the human anti-thrombin III according to a ratio, and manufacturing a standard curve according to change of the ratio of the area of characteristic peak. According to the method, the human factors are excluded; the accuracy and the precision of results are high, the experiment operation steps are simple, the detection time can be shortened, the experiment cost is reduced and the working efficiency of detectors is greatly improved.

A method for signal pattern recognition of cold-rolled strips, the method comprising the following steps: collecting the flatness measurement values ​​of each measurement section in the width direction of the cold-rolled strip measured online by a shapemeter, and obtaining the flatness value of each measurement section; The original data output by the shape meter is input to an n-layer neural network as the feature extraction layer, mainly through training to let the network automatically extract features to eliminate artificial traces; use the improved quantum neural network based on genetic algorithm for plate shape recognition. The invention applies the improved quantum neural network of the multi-layer excitation function optimized by the genetic algorithm to the shape pattern recognition technology, which significantly improves the training efficiency of the network and effectively solves the problems of accuracy and real-time performance encountered in the traditional shape recognition method It is not ideal enough, the network structure is complex, the training time is long, and the stability and robustness are poor.

The invention relates to a method for evaluating the homogeneity of molten glass, which comprises the following steps: S1. Simulating the homogenization process of molten glass with a liquid medium homogenization process in a glass liquid homogenization simulation device (1), and photographing the liquid medium From the photo of the medium flow during the homogenization process, extract the R value, G value and B value corresponding to the color of each pixel in the photo; S2. Perform weighted calculations on the R value, G value and B value of each pixel to obtain each pixel The Q value of the color; S3. Carry out mathematical statistics on the difference between the Q values ​​of different pixel colors, obtain the statistical parameter value representing the homogenization degree of the liquid medium, and then evaluate the uniformity of the glass liquid. The method for evaluating the homogeneity of molten glass accurately evaluates the degree of homogenization of molten glass through computer vision technology, color model conversion, mathematical statistics, and scientific and reasonable calculation of specific values.