40results about How to "Intuitive detection method" patented technology

The invention discloses a detection tool, which is used for detecting an extension tolerance zone of a threaded hole in a part, and comprises a detection tool body and a detection bolt, the detectiontool body comprises a base used for supporting a part; a base is used for supporting the part; wherein one end of the base extends in the first direction to form a first positioning part used for abutting against a part. The first positioning part is parallel to the extending direction of the base to form a support, the support is provided with a through hole, and the through hole is coaxial witha threaded hole in the part. The upper surface of the support is a stopping surface of the testing fixture body. The detection bolt comprises a limiting part and a detection part; the step surfaces ofthe limiting part and the detection part are limiting surfaces of the detection bolt; and the limiting surface is used for being matched with the stopping surface to detect the part. On one hand, thedetection efficiency of parts is improved; on the other hand, the detection precision is improved.

The invention discloses a method for efficiently processing song volume equalization, which comprises the following steps of: 1, obtaining a song sample library, extracting audio data of each song inthe song sample library, and then calculating to obtain an average value of the audio volume of each song; measuring the volume of each song according to the average value of the song audio volume; step 2, obtaining a volume equalization standard value M or a range of M; and step 3, carrying out volume equalization. The volume detection method is simple and visual; the detection speed is high, batch and automation of the equalization processing process are realized, simultaneous deployment and cooperative work can be performed on multiple computers, the speed is high, the equalization result is standardized, the original sound and accompaniment volumes of the same song are unified, the left and right audio track volumes of the original sound or accompaniment are unified, artificial subjective factors are eliminated, and the song music quality is not influenced.

The invention discloses a method for detecting the content of manganese in sewage by using fluorescent bacteria, relating to the field of methods for detecting the content of manganese in the sewage and aiming to solve the problems that the traditional method for detecting the content of manganese in the sewage is expensive in equipment, complex in processing, high in cost, large in workload and high in error. The method for detecting the content of manganese in the sewage by using the fluorescent bacteria comprises the steps of: 1, preparing an LB (Luria-Bertani) liquid culture medium; 2, culturing fluorescent bacteria; 3, diluting a bacterial solution; 4, preparing bacterial solutions with different manganese contents and culturing; 5, carrying out fluorescent detection; 6, establishing a rectangular coordinate system and calculating a regression equation; 7, detecting the fluorescent intensity of the bacteria solution containing the sewage to be detected; and 8, working out the manganese content of the sewage to be detected. The method disclosed by the invention is applied to the field of sewage detection.

The invention discloses a device and a method for detecting the dispersing performance of chemical synthesized short fibers. The device is characterized by being vertically provided with a cylinder; a middle filtering layer is arranged in the cylinder; a stirring shaft for forming a dispersing stirrer is axially arranged above the middle filtering layer; a water inlet pipe which is provided with a water inlet valve and a liquid discharge pipe which is provided with a liquid discharge valve are respectively arranged below the middle filtering layer; the middle filtering layer comprises a filter screen and a filter cloth which is arranged on the filter screen; and an air inlet pipe is radially arranged on the side wall of the cylinder, at the bottom of the stirring shaft and above a middle interlayer. The invention has compact device structure and simple and convenient method operation and can be used for rapidly and accurately detecting various defects of paralleled yarns, sticking yarns, doubling yarns, gommures, and the like existing in the chemical synthesized short fibers by the dispersing situation of the short fibers in water.

The invention relates to a method for realizing an intelligent vision system for synchronous detection of an elevator brake spring, which comprises the following steps: when an elevator inspector periodically detects the brake force of an elevator, an installation detection camera is installed beside an elevator brake device in an elevator machine room, and a camera video signal is transmitted toa computer through a cable; the computer is connected with an elevator brake device control panel through an I / O interface, and an elevator brake signal is obtained; the computer receives informationof an state image of the elevator brake spring, which is automatically and continuously captured by the camera; the action states of the two springs of the left and right brakes of the elevator are detected through an image processing and mode recognizing algorithm in the computer; and the synchronous situation of the elevator brake spring is automatically detected and calculated. The method in the invention realizes accurate detection on reduction of the brake force of the elevator due to incapability of synchronization of the left and right springs of the elevator brake, can find the fatal elevator safety problem of insufficient brake force of the brake in advance and finds causes of problems so as to solve the potential safety hazard of the elevator quickly and accurately.

The invention discloses a weak signal detection method based on a Lu system and relates to the technical field of signal detection methods. The method comprises the following steps that parameters of the Lu system are set to be a=36 and b=3; the value of a parameter c is determined, wherein the value of c is a critical value at which the Lu system is in a fixed point state, the value of c is determined through an equation and regulated from small to large, changes of an output y and a phase space of the Lu system are observed in the regulating process, and the value at which the fixed point state of the Lu system changes is used as the value of c; weak periodic signals are monitored through the Lu system with the determined parameters, and if a phase track is not in the fixed point state, it is judged that the weak periodic signals exist. According to the method, the Lu system is adopted, so that weak signals are recognized more easily, and the reliability is higher.

The invention discloses a waterproof fabric detection device used before cloth determination in a clothing factory, and belongs to the technical field of waterproof fabric detection. A paper pasting and extrusion type flexible detection mode is adopted for cloth waterproofness detection, the detection mode is more visual and convenient to operate, and the waterproof fabric detection device structurally comprises a frame body and a bearing seat. The frame body is a rectangular frame with four stand columns welded to the bottom face, a front hanging rod, a rear hanging rod, a left hanging rod and a right hanging rod are welded to the top sides of the four stand columns, a lifting hook is welded to the bottom end of each welding sleeve downwards, and the lifting hooks are located at the sameheight position. A hand wheel type screw rod is in running fit with the bearing seat. A front round steel bar and a rear round steel bar are welded between the inner faces of the top sides of the frame bodies, and a left smooth sliding pipe and a right smooth sliding pipe are welded to the two round steel bars in the front-back direction. When the two mechanisms are rotated by the two-way screw rod, whether water seepage occurs when the cloth is pressed by the outside after water injection is observed, the detection flexibility is improved, and the detection mode is more visual.

The invention provides a method for detecting the equivalent thickness of the oxide layer on the surface of ultrafine aluminum powder particles. By performing X-ray structure detection on ultrafine aluminum powder samples and analyzing oxide species according to the PDF atlas, it is determined that the oxide layer in the aluminum powder particles is Existence of aluminum species; particle distribution detection of aluminum powder, each sample is tested three times to determine the volume average diameter D of aluminum powder; respectively detect the heat absorption value △H of the raw material 1A99 industrial pure aluminum in the heating process 0 and the heat absorption value △H of the prepared aluminum powder in the heating process, according to the thermodynamic characteristics of the phase transition, determine the mass percentage content of alumina in the aluminum powder particles and the heat absorption value △H0, the heat absorption value △ The relationship between H; the equivalent thickness of the oxide layer is calculated according to the particle structure of the aluminum powder and the mass percentage of alumina. The detection method of the invention is simple and intuitive, conforms to the production process and has high precision.

The invention discloses a three dimensional structure detection method of a fiber welding point, based on digital holographic tomography. Based on the digital holographic tomography technology, the fiber welding point three dimensional structure detection method based on digital holographic tomography performs digital reconstruction and correction of axial error on the fiber welding point hologram which is obtained through measurement of the digital holographic technology, by taking different reproduced distances, so as to obtain the phase diagrams of the welding fiber under each angle, and then performs horizontal correction, vertical correction and image inclination correction of rotation deviation on each phase diagram to obtain the phase diagrams that the positions of the fiber welding points are consistent under each angle, and finally utilizes the tomography back projection filtering algorithm to reconstruct the three dimensional structure of the fiber welding points. The three dimensional structure detection method of a fiber welding point, based on digital holographic tomography can realize correction of the rotation deviation as the data processing process is fully digitalized, has the advantages of high precision, no damage and three dimensional quantitative determination, and can be used for detecting the quality of fiber welding, based on the digital holographic tomography technology.