11results about How to "Improve the detection effect" patented technology

The utility model belongs to the technical field of unmanned vehicles, and discloses an unmanned vehicle detection device. The unmanned vehicle detection device comprises a cover body, a bonding assembly and a mounting assembly. Wherein a mounting space is formed in the cover body, a detection opening and a camera opening are formed in one side of the cover body, and the detection opening and the camera opening are both communicated with the mounting space; the bonding assembly is bonded to the installation space of the cover body, the radar is arranged on the support, the detection end of the radar right faces the detection opening, the support is connected with the bonding assembly, and the bottom of the support is connected to the unmanned vehicle. The installation assembly is connected to the bonding assembly and used for installing a camera, and the photographing end of the camera can directly face the camera shooting opening. The device is simple in structure and low in assembly difficulty, and can be directly and integrally mounted on the unmanned vehicle, so that a good detection effect is ensured.

The invention provides a feature extraction and detection method for cloth defects, and relates to the technical field of cloth quality detection.The feature extraction and detection method comprises the steps that a graying image of to-be-detected cloth is obtained and subjected to frequency domain analysis, so that the main frequency and the main weaving direction angle of a first cloth image are obtained; phase response of the first cloth image under the main frequency and the main weaving direction angle rhythm is determined; for each pixel point, acquiring a nearest pixel point of the pixel point in the direction of the main weaving direction angle, analyzing the forward propagation condition of the pixel point in combination with the phase response of the pixel point and the nearest pixel point of the pixel point, setting a propagation smoothness judgment condition, and screening out unsmooth propagation pixel points based on the propagation smoothness judgment condition; for each pixel point with unsmooth propagation, analyzing the reverse propagation condition of the pixel point, and combining the forward propagation condition to obtain a back-and-forth propagation deviation; and analyzing the forward propagation condition in the local area of each unsmooth-propagation pixel point, and detecting the cloth defects in combination with the back-and-forth propagation deviation.

The utility model discloses a kind of four-split high-voltage transmission line high-altitude x-ray detection devices, including walking assembly and detection component, the walking assembly includes rack and drive wheel, flexible hanging point is equipped on the rack, the drive wheel is connected in the rack, the drive wheel is driven by drive motor, the detection component includes X-ray installation box and imaging plate, there is X-ray machine in the X-ray installation box, the X-ray machine and the imaging plate are arranged in parallel, camera is equipped in the X-ray installation box, horizontal shift component is equipped on the rack, lifting assembly is equipped on the horizontal shift component, the detection component is connected in the lifting assembly, the horizontal shift component drives the detection component transverse movement detection, the lifting assembly drives the detection component longitudinal movement detection, the application is mainly convenient for flaw detection, simple and efficient, and flaw detection effect is good.

The application discloses a PICU seizure detection system and a storage medium, and a program is stored on the storage medium. When the program is executed by a processor, the following steps are implemented: real-time acquisition of electroencephalogram data, electrocardiogram data and electromyogram data of a subject with epilepsy; segmentation of the electroencephalogram data into multiple electroencephalogram data segments, and detection of each electroencephalogram data segment to obtain suspicious electroencephalogram data segments; acquisition of electrocardiogram data segments and electromyogram data segments according to the suspicious electroencephalogram data segments, and feature extraction of the suspicious electroencephalogram data segments, the electrocardiogram data segments and the electromyogram data segments to obtain electroencephalogram suspicious segment features, electrocardiogram suspicious segment features and electromyogram suspicious segment features; and detection of whether the suspicious electroencephalogram data segments are real seizure segments.

The invention relates to a nucleic acid amplification and chromatographic detection kit based on ureaplasma urealyticum in a totally-enclosed card box and application of the kit, the kit is a kit based on an RPA isothermal amplification chromatography technology, a freeze-drying ball reagent, a liquid reagent and a nucleic acid detection chromatographic test strip are arranged in the kit, the amplification mode is RPA isothermal amplification, and the detection sensitivity is high. The detection mode is a chromatographic test strip, the 5'end of a probe of the ureaplasma urealyticum RPA is marked with digoxin, and the 5 'end of a downstream primer is marked with biotin. The 5'end of the RPA probe of the internal standard substance bacillus is marked with FAM, and the 5 'end of the downstream primer is marked with biotin. Two indexes of UU and reference genes can be simultaneously amplified in the same tube through an RPA isothermal amplification method, an amplification product is double-stranded DNA with molecular markers at two ends, compared with fluorescent PCR, the kit integrates nucleic acid extraction, amplification and detection, the nucleic acid extraction, amplification and detection are all carried out in a card box in a sealed mode, a sample adding step is not needed, operation is simple, pollution can be effectively prevented, and the kit is suitable for large-scale popularization and application. And automation of the whole process is realized.

The utility model provides a kind of for hoist and draw machine's multiple degrees of freedom wire rope flaw detector supporting device.The supporting device includes support groove frame, flaw detector installation slide and wire rope guiding mechanism, and the support groove frame is including two parallelly arranged vertical boards;The flaw detector installation slide includes two groups of parallelly arranged sliding supports, and two groups of sliding supports are respectively slidably connected with the two vertical boards of support groove frame, the wire rope flaw detector is placed between the two vertical boards of support groove frame, and two groups of sliding supports are respectively fixedly connected with wire rope flaw detector by connecting bolt;The wire rope guiding mechanism includes two groups of guiding components, and two groups of guiding components are respectively located at the upper and lower orifices of wire rope flaw detector threading hole.The utility model can let flaw detector freely move with wire double rope in left and right directions, can detect wire double rope at any time, avoids fixed flaw detector to lose target easily, leads to existence flaw detection loss, affects the accuracy of flaw detection.

The utility model discloses a measurement type pyrolysis particle fire hazard detector for an electric power system. The measurement type pyrolysis particle fire hazard detector comprises a sampling pipe mechanism, a detection main body mechanism and at least one self-cleaning filtering mechanism. The measurement type pyrolysis particle fire detector for the electric power system has an excellent detection effect aiming at the situation that the electric power system is blocked or is hidden in position, and open fire or smoke is difficult to recognize or detect, the external sampling pipe mechanism is more accurate in smoke recognition, and multi-branch detection is more efficient. By means of the arrangement of the two-way fan, active air suction type extremely-early-stage accurate detection can be achieved, the filtering effect can be achieved by means of the arrangement of the self-cleaning filtering mechanism, and impurity interference is avoided. Through cooperation of the bidirectional fan and the self-cleaning filtering mechanism, the self-cleaning effect of the self-cleaning filtering mechanism can be achieved, the service life of the fire detector is prolonged, the maintenance cost is saved, and the fire detector is reasonable in structure, convenient to install and easy to use.

The application provides a self-adaptive adjustment distributed optical fiber vibration sensor method, system and device, which is applied to the field of optical fiber sensing technology and comprises the following steps: receiving parameters of a DVS, selecting a monitoring mode applied by self-adaptive adjustment according to the received parameters of the DVS, the monitoring mode comprising a full-line measurement mode and a local measurement mode, calculating average light intensity and interference coefficient of a preset reference optical fiber section, judging whether the average light intensity is within a preset range, if yes, judging whether the interference coefficient is within a preset range, if yes, demodulating and calculating a vibration signal and positioning information, matching state information and early warning information according to a preset algorithm model, and displaying the output state information and early warning information. The application adopts the DVS to adaptively adjust line parameters after the optical fiber is connected to realize the best monitoring effect, and the DVS is changed from professional and complex to simple and easy to use without complex debugging by professional technicians.

The present application relates to an underwater target intelligent electromagnetic detection method and system, belonging to the geophysical exploration and object detection technical field. The electromagnetic detection subsystem collects underwater electromagnetic signals; the electromagnetic data preprocessing unit decomposes the underwater electromagnetic data samples into time domain signal sequences, frequency domain power spectrum signal sequences and time-frequency power spectrum diagrams; the time domain signal depth learning network identifies whether there is an underwater target according to the time domain signal sequences; the frequency domain power spectrum signal depth learning network identifies whether there is an underwater target according to the frequency domain power spectrum signal sequences; the time-frequency power spectrum signal depth learning network identifies whether there is an underwater target according to the time-frequency power spectrum diagrams; according to the identification results of the underwater target by the time domain signal depth learning network, the identification results of the underwater target by the frequency domain power spectrum signal depth learning network and the identification results of the underwater target by the time-frequency power spectrum signal depth learning network, the final time-frequency power spectrum diagram labeled underwater target identification result is generated by comprehensive judgment.

The invention belongs to the technical field of medical instruments, and particularly discloses a miniature fluorescence microscopic imaging and automatic counting system for onychomycosis detection. The system comprises an integrated handheld sampling imaging terminal, a cloud intelligent analysis server and a user interaction terminal. The terminal integrates sampling, fluorescence labeling and microscopic imaging functions, automatically completes sample processing and image acquisition, and uploads the sample processing and image acquisition to the cloud. And the server performs automatic identification, segmentation and counting of fungal targets on the image through a deep learning algorithm to generate a detection report. According to the invention, mechanical sampling, microfluidic fluorescence labeling and miniature fluorescence microscopic imaging are highly integrated in the handheld terminal, a closed and automatic sample processing and imaging assembly line is constructed, and the problem of leak detection caused by insufficient sampling depth and inconsistent dyeing operation in a traditional method is solved.

This invention discloses a high signal-to-noise ratio (SNR) ultrasonic imaging method for internal defects in materials. By utilizing the spatial coherence of the received signals from each channel in the full matrix data and modifying the delay rule of the algorithm based on the surface configuration characteristics of PBX (partially filled composite material), high SNR imaging of crack defects with different orientations in PBXs with curved surface configurations is achieved. The quality of the reconstructed images is compared and evaluated. The results show that, compared with traditional linear synthetic focusing imaging, the algorithm proposed in this invention improves the SNR of ultrasonic reconstructed images of crack defects in particulate-filled composite material PBX by more than 10 dB, significantly improving the detection capability of crack defects while maintaining imaging efficiency.