633results about How to "Reduce the difficulty of detection" patented technology

The invention belongs to the technical field of non-destructive testing and measuring, and discloses a focusing rotary scanning photoacoustic ultrasonic blood vessel endoscope imaging device and a focusing rotary scanning photoacoustic ultrasonic blood vessel endoscope imaging method. The device comprises a photoacoustic ultrasonic endoscope imaging probe, a rotating connecting part and a peripheral circuit part, wherein pulse laser generates 90-degree reflection at the light outlet end and is irradiated on the blood vessel wall after being gathered by a cylindrical surface light gathering lens, photoacoustic signals are generated, a sound-sensitive element receives the photoacoustic signals, the photoacoustic signals are collected and recorded after being converted, the synchronous working of a data collector and a pulse laser is realized, triggering signals generated by the pulse laser trigger an ultrasonic pulse emitting and receiving device to emit electric signals, the electric signals trigger the sound-sensitive element to emit ultrasonic signals, the ultrasonic signals are reflected after reaching the blood vessels, are received by sound-sensitive elements and are collected and recorded after being converted, a step motor drives the device for carrying out scanning to obtain the whole blood vessel fault data, and photoacoustic and ultrasonic images are obtained after the processing. The sound-sensitive elements are shared by ultrasonic and photoacoustic images, and the high-resolution and high-sensitivity blood vessel internal ultrasonic photoacoustic imaging can be realized.

The invention relates to an infrared photoacoustic spectroscopy detection device and method for decomposed components of sulfur hexafluoride under partial discharge, belonging to the technical field of partial discharge on-line monitoring of SF6 gas insulating electrical equipment. The device of the invention mainly comprises an induction voltage regulator, a corona free experimental transformer, a partial discharge free protective resistor, a standard capacitive voltage divider, a non-inductive resistor, a GIS analog element, a wide-frequency high-speed ultrahigh-capacity digital storage oscillograph and an infrared photoacoustic spectroscopy system. In the method of the invention, infrared photoacoustic spectroscopy detection is carried out on the decomposed gas of SF6 under partial discharge in the GIS analog element by the device of the invention. The invention has high sensitivity, little gas consumption, multiple detection components and strong anti-jamming capability, can effectively detect SF6, CF4, SO2F2, SOF2, SO2, HF and the like as low as 0.01 muL/L, and is suitable for on-line detection. The invention can be widely used for detection of partial discharge decomposed gas of SF6 in the SF6 gas insulating electrical equipment, especially the GIS equipment.

The invention relates to a 3D (three-dimensional) printing system structure. The 3D (three-dimensional) printing system structure comprises a lifting printing platform, a dual-screw dual-optical-axis Z-shaft driving mechanism, an X-shaft drive mechanism, a Y-shaft drive mechanism as well as a stationary object carrying platform, wherein the printing platform is provided with an X-shaft drive motor and a Y-shaft drive motor; the two motors are respectively connected to a pair of driven bearings by synchronous belts at two ends of the driving shaft; double slide shafts in the X direction and the Y direction are both provided with slide seats; two pairs of slide seats are respectively connected by an X cross beam and a Y cross beam, and the two cross beams respectively penetrate through a 3D printer head; a driving motor of the dual-screw dual-optical-axis driving mechanism and the driving shaft are connected by the synchronous belt; the position of the driving motor can be adjusted randomly. The X-shaft drive mechanism, the Y-shaft drive mechanism and the driving shaft operate individually, so that the motion modulation is reduced; the dual-screw dual-optical-axis driving mechanism has favorable stability, so that the printing platform is stressed in a balance manner; the driving in each direction is stable; the 3D printing precision is improved.

The invention belongs to the field of detection and control technologies of washing machines and provides a roller washing machine and an unbalance detection method and device of the roller washing machine. The method comprises the steps that when a roller operates at a low uniform velocity, the torque of the roller is detected, and the average value of torque ripple is acquired; afterwards, when the roller operates in a constant-acceleration mode, the torque ripple values of the roller are acquired in real time, and whether dynamic unbalance happens on the roller or not is judged according to the average value of torque ripple and the torque ripple values; if yes, the roller is controlled to stop accelerated operation, and whether the frequency of shake scattering operations executed by the roller is larger than a preset frequency value or not is judged; if yes, the roller is controlled to stop operation; if not, the roller is controlled to execute shake scattering operations and then operates at a low velocity, and static unbalance detection is performed on the roller during low-velocity operation of the roller; accordingly, there is no need to adopt sensors for unbalance detection, so that the cost and detection difficulty are lowered; besides, the problem that dynamic unbalance detection is performed during high-velocity operation of the roller, so that mechanical parts are collided and damaged is avoided.

The present invention provides an automatic cloud detection method and system for a multi-spectral remote sensing satellite image. The method comprises: preparing data; roughly extracting clouds; extracting texture information on an image intensity information channel by combining histogram equalization and bilateral filtering; segmenting a texture information map by using a two-dimensional Otsu threshold; removing an error from a rough detection result by using a binary detail map after segmentation; using intensity information of a raw image as a guide map; and based on the rough detection result with the error being removed, performing accurate extraction on the clouds through edge seed expansion. The technical scheme actually realizes automatic, fast, and accurate detection of cloud.

The invention discloses a gallium nitride sensor, a preparation method and a multi-sensor system. The sensor comprises a heterostructure semiconductor substrate and a transistor which is located on the heterostructure semiconductor substrate, based on III-group nitrides and of an HEMT structure. Metal of the source electrode and metal of the drain electrode are both arranged on the portion, on the top layer of the transistor, of the semiconductor. A functionalized membrane obtained through functionalized processing is arranged on the surface of the grid electrode, and an induction area is formed in the exposed grid electrode area between the source electrode and the drain electrode. By detecting the current changes of the induction area, the concentration of to-be-detected substances making contact with the induction area is detected. By means of the scheme, the defects that in the prior art, sensitivity is low, the detection range is small and portability is poor can be overcome, and the advantages of being high in sensitivity, large in detection range and good in portability are achieved.

The invention discloses a face feature point detection method. According to the face feature point detection method, a novel three-channel GEH (Gray-Edge-Hog) mode image with the attitude detection task acting as the constraint and multiclass feature graphs acting for fusion acts as input. Considering that face three-dimensional attitude information has considerable influence on detection of face global feature points under the condition of large attitude deflection especially and the detection complexity of the contour feature points can be effectively reduced by adding Hog feature information reflecting face image local feature presentation and edge image information used for edge detection and extracted by the Sobel operator, the novel GEH three-channel image is generated by extracting the image grayscale value, the edge information and the Hog features to act as the input, and the auxiliary task of three-dimensional attitude estimation acts as the constraint information to perform face feature point detection.

The present invention is the measurement method of unbalance amount of tyre in dynamic balancing machine. During the measurement of static and dynamic unbalance amount of tyre with sensors, the linear mold of the corresponding relation between the unbalance amount in the calibrating plane and the sensor signals is established, so as to measuring static and dynamic unbalance amount of tyre accurately.

The invention discloses a silicon micro resonant type pressure sensor and a manufacturing method of the silicon micro resonant type pressure sensor, relates to a pressure sensor and provides a silicon micro resonant type pressure sensor which is based on synovial membrane damping and a double pressure membrane structure, and a manufacturing method of the pressure sensor. The pressure sensor comprises a pressure sensitive layer, a resonant structure layer, a vacuum encapsulation blocking layer and lead electrodes, wherein the upper part of the border frame of the pressure sensitive layer is connected with the lower part of the border frame of a resonant structure layer; the upper border frame of the pressure sensitive layer is internally provided with two pressure membranes and is provided with two cavities for holding parallel silicon islands; the top ends of the silicon islands are connected with a first transmission beam and a second transmission beam on the resonant structure layer; channels are formed between the two cavities, so that the first resonant beam, the second resonant beam, a first mass block and a second mass block on the resonant structure layer have space for free vibration; the upper part of the border frame of the resonant structure layer is connected with a lower border frame of the vacuum encapsulating blocking layer; a cavity is formed inside a lower border frame of the blocking layer; lead holes are formed on the vacuum encapsulating blocking layer; and the lead electrodes are connected with the resonant structure layer through the lead holes.

An embodiment of the invention discloses a method and a device for detecting micro short circuit of a battery. The method comprises the steps of: acquiring a target initial battery parameter value ofa target battery at an initial moment, and determining a reference initial battery parameter value of a virtual reference battery at the initial moment, wherein a response of the virtual reference battery is the same as a response of the target battery under the same excitation condition; acquiring a target battery parameter value of the target battery at a specified moment; determining a reference battery parameter value of the virtual reference battery at the specified moment according to the target battery parameter value and the reference initial battery parameters value; and calculating adifference value between the target battery parameter value and the reference battery parameter value, and determining whether short circuit occurs in the target battery according to the difference value. The method and the device disclosed by the invention have the advantages of improving precision of battery micro short circuit detection, enhancing the applicability of battery micro short circuit detection, and reducing the misjudgment rate of battery failures.

The invention provides a silicon micro-resonant mode pressure sensor based on a differential motion structure with a coupling beam, relating to a sensor. The silicon micro-resonant mode pressure sensor is provided with a harmonic oscillator, a rectangular silicon island, a rectangular pressure sensitive diaphragm, a silicon frame and a lower layer of glass, wherein the harmonic oscillator is provided with supporting beams, the coupling beam, a movable comb exciting electrode, a movable comb detection electrode, a fixed comb exciting electrode, a fixed comb detection electrode and a vibration mass block; the rectangular pressure sensitive diaphragm is fixed in the silicon frame; the rectangular silicon island is arranged at the position where the stress deflection angle of the rectangular pressure sensitive diaphragm is maximum; the harmonic oscillator is suspended on the surface of the rectangular pressure sensitive diaphragm by the rectangular silicon island through the supporting beams and the supporting beams are connected with the rectangular silicon island; a lead wire electrode is connected with the harmonic oscillator through a flexible beam; the supporting beams are arranged at four corners of the harmonic oscillator; the vibration mass block is connected with the rectangular silicon island and a mechanical coupling beam arranged at the middle part of the harmonic oscillator is used for connecting the vibration mass block; the vibration mass block and the coupling beam are both in suspended states and the vibration mass block is provided with a hole; and the lower layer of glass is arranged at the bottom of the silicon frame.

The invention provides a video-based safety cap wearing condition detection method comprising the following steps: obtaining video images, and calculating two-frame gray scale difference values so asto find out a motion area; using an agglomerate detection method to find out a candidate area; carrying out deformable assembly model system detection for the candidate area, and finding a clear target head shoulder area; carrying out cascade system detection for the head shoulder area so as to find out the target head area; carrying out HSV color space conversion for the video image head area; using a nerve network to classify and determine the head area image under the HSV color space, and determining whether the target has worn a safety cap or not; using the HSV color space to determine thesafety cap color; finally outputting the head area and safety cap wearing detection result. The video-based safety cap wearing condition detection method is accurate in detection result, can reduce the detection difficulty, and can improve the detection efficiency.

The invention discloses an aviation electric connector pin position deviation detection method and belongs to the field of machine vision high-precision detection, for solving the problems of low efficiency and proneness to missed detection existing in manual detection of an electric connector. According to the aviation electric connector pin position deviation detection method, pin template images with different specifications are made; electric connector pin images are obtained; an area of interest with the pin images is reserved, and background interference is filtered; coordinates of optimal matching points are obtained as approximate positions of pins by performing template matching on the electric connector pin images by use of the pin template images; search is carried out by taking the approximate positions of the pins as centers, pin bright spots are sought, calculated mass center positions are taken as position information of the pin centers under an image coordinate system, then after the position information is converted into position information under an actual physical coordinate system, the position information under the actual physical coordinate system is compared to an electric connector contact hole position arrangement standard in a national standard, and whether pin position deviations are within an allowed scope is determined. The method has the advantages of high precision, high automation efficiency and low miss rate.

The invention relates to an integrated opto-acoustic, ultrasonic and opto-acoustic elastic endoscopic imaging device which is characterized in that the imaging device comprises a pulse laser, an optical filter, a diaphragm, an objective and an optical fiber coupler sequentially arranged along the transmission path of pulse laser and also comprises a multimode optical fiber, an optical fiber slip ring, a rotation component, a rotary step motor, an electric slip ring, an integrated probe, a translation platform, a translation step motor, an ultrasonic pulse transceiver, a time delay unit and a computer, wherein the computer is in signal connection with the pulse laser; the pulse laser is in signal connection with the time delay unit; the time delay unit is in signal connection with the ultrasonic pulse transceiver; and the ultrasonic pulse transceiver is in signal connection with the electric slip ring. The invention also relates to a method for imaging by using the imaging device. In the invention, three kinds of imaging can be obtained, the detection precision can be improved while multi-parameter and multi-scale information in blood vessels can be obtained, and the invention belongs to the technical field of blood vessel endoscopy.

The invention discloses a washing machine and imbalance testing method and device thereof, the operation of the washing machine comprises the steps of controlling a washing barrel to operate at an accelerated speed according to a preset acceleration speed; in the process of accelerated operation of the washing barrel, detecting on a real time basis the electric current of the working of an electric engine, and calculating the capacity rate of the electric engine according to the electric current of the working of the electric engine; obtaining the capacity rates of more than one electric engine within the time per rotation circle of the washing barrel, and calculating the average value of the capacity rate of the electric engine according to the capacity rates of more than one electric engine, as well as the average value of the capacity rates of stored electric power; obtaining the lowest value of the average of the capacity rates of the stored electric power, and comparing the current average value of the capacity rates of the electric engine obtained from the calculation with the obtained lowest value to judge whether the washing barrel is in a dynamically imbalanced state. The method can achieve the detection of the dynamically imbalanced state of the washing barrel with no necessity of adopting a sensor, effectively brings down the cost of the detection and the degree of difficulty for detection, and avoids the problems brought by collisions and damages of machinery parts when carrying out the detection of the dynamically imbalanced state in the process of accelerated operation of the washing barrel.

The invention provides a target detection method, device and a storage medium. The method comprises steps: a to-be-detected target in a current frame image in video data is obtained through initial detection; the to-be-detected target and at least one target in a former frame image of the current frame image are matched; and if a target matched with the to-be-detected target exists in the former frame image, the category and the position information of the to-be-detected target are determined according to a feature layer of the to-be-detected target in the current frame image and the feature layer in former m frame images of the current frame image, wherein m is a positive integer. According to the target detection method, the device and the storage medium provided in the invention, the detection difficulty can be reduced, and the detection accuracy can also be improved.

The invention discloses a microscopic image cell identification method based on multi-task learning. The method comprises the following steps: firstly, labeling an acquired microscopic image by adopting a multi-labeling mode; then segmenting the microscopic image containing the multiple labels to form a training set; training a pre-constructed cell identification model by utilizing the training set containing the multiple labels; and finally, carrying out cell identification on the microscopic image to be identified by utilizing the trained cell identification model to obtain the category andthe characteristic attribute of each cell in the microscopic image to be identified. Compared with the prior art, the method provided by the invention adopts a multi-labeling mode to label the microscopic image, so that the model obtained by training can realize multi-detection, and the multi-detection can ensure the accuracy of a final detection result.

The invention discloses a mixed compensating type sub-aperture spliced surface shape detection method. During the sub-aperture spliced surface shape detection process, the area of the single sub-aperture measurement is enlarged on the premise that a small CGH compensator is adopted. Therefore, the number of required sub-apertures is effectively reduced. The error transmission is reduced, and the number of the required compensators is reduced at the same time. The sub-aperture splicing detection means is combined with the mixed compensation means of a lens and a CGH compensator, so that the usage constraint of the adopted CGH compensator within a single compensation detection region, namely a sub-aperture range, can be avoided. The number of sub-apertures required by the convex aspheric surface of the same specification is reduced. As a result, the time cost needed by optical element adjustment and subsequent splicing calculation is reduced. Meanwhile, the number of required CGH compensators is reduced. The detection economic cost is reduced. The transmission and the accumulation of splicing errors are reduced, and the detection precision is improved.

The present invention provides a moving object detection method and system. The method comprises: performing denoising processing of video images; setting a background frame image; calculating difference image between a current image and the background frame image; performing binary processing of the difference image, extracting the foreground object of a target moving object, and calculating the proportion of the foreground pixel points of the foreground object; and confirming if the proportion of the foreground pixel points exceed a preset threshold, prompting that the moving object is detected. The moving object detection method improves the detection effect, simplifies the operation process and reduces the detection difficulty through a real-time background updating mode.

The invention discloses a method for machining a cylindrical mirror. The method for machining the cylindrical mirror comprise the steps that a blank is obtained, and the reference surface of the blank is milled; the blank adheres to a tool with wax; the tool with the blank is arranged on a workpiece shaft of a milling device, and the reference surface of the blank is measured with a dial indicator and is clamped; programmed milling is conducted on the cylindrical surface to be machined; the surface type data of the machined cylindrical surface are measured; the surface type data are compared, if the Rt value is larger than 1 micron, correction milling is conducted, and if the Rt value is smaller than 1 micron, polishing is conducted; if the Rt value and the Ra value of the machined cylindrical surface of the polished workpiece meet expected requirements, the workpiece is detached from the tool, cleaning is conducted, and then the cylindrical mirror is obtained. By the adoption of the method for machining the cylindrical mirror, the machining efficiency and the machining precision of the cylindrical mirror are improved, the high-precision cylindrical mirror can be machined, the machining difficulty and the detection difficulty are effectively lowered, generation of waste is avoided, the machining rejection rate is reduced, the technologies are simple, operation is convenient, and good application prospect is achieved.

The invention discloses a method for discovering Web intranet agent bugs. Capture of intranet network pages is achieved and uniformed resource locators (URLs) of all pages are obtained through a network crawler technology; then filtering is performed twice to screen URLs possibly existing intranet agent bugs out based on UPL specifications and characteristics of parameter values; feature pages containing a section of message algorithm digest 5 (MD5) strings are constructed in a Web intranet; and for each filtered URL, original parameter content containing the URL is replaced with the URLs of the feature pages, the URLs after the replacement are requested, if request responses contain the MD5 strings in the feature pages, the intranet agent bugs exist in the page URLs, and otherwise, the intranet agent bugs do not exist in the page URLs. The defects in the artificial method are overcome by using the programmed intranet agent detection method, the intranet agent bugs in Web service can be discovered effectively and comprehensively, and the safety of the Web can be improved.

The invention provides a kit for detecting the total polyphenol content in beverage, a preparation method of the kit and a method for detecting the total polyphenol content in beverage using the kit, and belongs to the field of food nutrition detection. The kit includes a coloring agent, a color stabilizer and a standard substance. According to the invention, an optimized Folio-Ciocalteu method is adopted; a beverage sample develops color after being subjected to a water bath reaction with a combined reagent at 45 DEG C for 0.5 h, and the color reaction time is reduced; the application of the kit to ultraviolet spectrophotometers and semi-automatic biochemical analyzers is simple, easy to operate and high in sensitivity, and a standard curve is not required, so that the detection time is greatly reduced, especially the application to the semi-automatic biochemical analyzers, the detection result can be read visually, and the detection difficulty is reduced; a plurality of beverage samples can be subjected to coloration and detection at the same time, so that the detection is efficient, accurate and fast, and batch detection is facilitated; therefore, the kit and detection method, provided by the invention, have great application prospects in detecting the total polyphenol content in liquid or solid beverage.

The invention provides a vernier effect based dual-micro-ring resonator optical biochemical sensing chip. The chip comprises an SOI (silicon on insulator) substrate consisting of a silicon base layer, a silicon dioxide layer and a mono-crystal layer which are overlapped and bonded from the bottom to the top sequentially; the mono-crystal silicon layer of the SOI substrate comprises two micro-ring resonators which are in optical coupling connection; and the micro-ring resonators are in overlapped shape in the space structure. Because the slit optical waveguide structure is introduced into the scheme and the slit waveguide can be used for limiting light as much as possible in a slit area to intensify the interaction between the light and a substance; the advantages that the light energy density in the slit space is far higher than that in an evanescent field, the interaction between the light and the substance can be stronger, and the detection sensitivity can be higher are achieved. The optical biochemical sensing chip is advantageous to implementation of miniaturization and SOI sensing system of the optical biochemical sensor under the condition of the same sensing performance.

The invention discloses an electric-power line detection method and system based on millimeter wave radar decision tree classification. The electric-power line detection method based on millimeter wave radar decision tree classification includes the steps: utilizing a millimeter wave radar carried on an unmanned plane to acquire a radar image of an electric-power line; transformation of coordinates: utilizing a method of transformation of coordinates to transform the radar image of the electric-power line to a rectangular plane coordinate system from a polar coordinate system; image processing by block: taking the distance in the image as the standard, setting a threshold, and blocking the image according to the set threshold; utilizing Hough transformation to detect the linear segments existing in the image blocks; obtaining a candidate linear segment set; and utilizing a decision tree classification model to classify the linear segments in the candidate linear segment set so as to detect the position of the electric-power line. The electric-power line detection method and system based on millimeter wave radar decision tree classification have the advantages of being able to effectively detect the electric-power line target in real time and being relatively low in the false alarm probability.