68results about How to "Efficient culling" patented technology

According to the precise elimination method for the laser point cloud noise and the redundant data provided by the invention, for an error existing in a laser scanning process, the laser point cloud data contains the noise, a point cloud denoising method based on geometrical characteristic estimation is adopted to carry out noise elimination on the laser point cloud data obtained by scanning; forthe characteristic that the laser point cloud data has a large data volume, redundant data in the laser point cloud data is eliminated by adopting a boundary-reserved adaptive point cloud simplification method; according to the invention, a k neighborhood denoising and bilateral filtering method is improved and fused, and small noise information in the model is smoothed while large outliers in thepoint cloud model are efficiently removed; boundary information of a point cloud model is comprehensively considered while point cloud simplification is carried out, boundary information loss is reduced while feature information of a physical model is reserved, and the precision and reliability of laser point cloud data after preprocessing are guaranteed.

The invention belongs to the technical field of tobaccos, and particularly relates to a device for improving the purity of discard tobacco and a multi-stage impurity-removal method for the discard tobacco. The device comprises an inlet tobacco conveying belt (2), an outlet tobacco conveying belt (23), a tobacco spreading device (3), an uphill variable-frequency vibrating conveying device (4), a first electrostatic roller (7), a second electrostatic roller (17), a first negative-pressure shredded paper device (8), a second negative-pressure shredded paper device (18), a first scraper (9), a second scraper (19), a positive-pressure adjustable air-blow device (14), a negative-pressure dust removal device (11) and a downhill vibrating conveying device (21). By means of the device, three-stageimpurity-removal treatment of the discard tobacco is achieved; shredded paper scraps, tows and other impurities in the discard tobacco can be efficiently removed on the premise that the quality indexes, such as the water content of the tobacco and the tobacco structure, are basically unchanged; and the problems are solved that when the impurities are removed in the ways of hand picking, photoelectric dust removal and the like, the requirements for the quality of recycled tobacco are difficult to meet.

The invention relates to an LED chip maintenance method. The LED chip maintenance method comprises steps that S1, a chip substrate having a failed LED chip is provided; S2, the position of the failedLED chip on the chip substrate is determined; S3, a first nozzle is heated to a preset temperature, and the first solder for fixing the failed LED chip is melted; S4, the failed LED chip is sucked; S5, the first solder is sucked; and S6, die bonding is performed. The method is advantaged in that when the LED chip fails, the first nozzle is heated to fuse the first solder connecting the failed LEDchip with the chip substrate, after the first solder is melted, the failed chip is sucked, the first solder is removed by suction, so elimination of a failure point of the chip substrate is simple, fast, and efficient, professional equipment is not needed, cost is low, moreover, the failed chip and the first solder can be removed, the quality of subsequent die bonding is guaranteed, and the methodis especially suitable for maintenance of small-pitch LED products such as COB flip chips.

The invention discloses a self-measurement-control mosquito expelling and killing device which comprises a mosquito sound positioning assembly, an ultrasonic expelling assembly, a mosquito sucking and killing assembly and an assembly control module. The assembly control module is connected with the mosquito sound positioning assembly, the ultrasonic expelling assembly and the mosquito sucking and killing assembly. The mosquito sound positioning assembly comprises audio sensors, an operational amplifier module and an AD module which are sequentially connected. The assembly control module calculates the sound source position and the frequency and phase of a sound source through the different linear distances between at least two audio sensors in the mosquito sound positioning assembly and the sound source and drives the ultrasonic expelling assembly or the mosquito sucking and killing assembly to work according to the distance, frequency and phase information. When the ultrasonic expelling assembly works, the ultrasonic expelling assembly gives out same-phase or reverse-phase low-frequency modulation ultrasound wave signals or low-frequency signals with the same frequency as that of the sound source of mosquitoes. The self-measurement-control mosquito expelling and killing device can react on mosquitoes of different types and genders in different regions and reach the mosquitoes intelligently to achieve the optimal culling effect; the mosquitoes can be expelled or killed intelligently, efficiently and quickly through sound-light alarm.

The invention discloses a stereo-mapping satellite-image-matching suspicious-region automatic detection method. The method comprises the following steps of step1, generating an epipolar-line stereo image pair of a stereo image, wherein the epipolar-line stereo image pair includes a left epipolar-line image and a right epipolar-line image; step2, reading the epipolar-line stereo image pair, and carrying out wavelet transform on the left epipolar-line image and the right epipolar-line image of the epipolar-line stereo image pair respectively so as to establish image pyramids of the left epipolar-line image and the right epipolar-line image; and step3, determining suspicious regions in the left epipolar-line image and the right epipolar-line image of each layer of the image pyramids below a top layer in a layer-by-layer mode. In the invention, high-efficient thick-cloud automatic detection and rejecting can be realized; high-efficient shielding area detection, large-area water area detection and non-texture shadow area detection can be realized; and a good actual application value is possessed.

The invention relates to a rapid propagation method of cassava virus-free seedlings. The method comprises the following steps: step one, collecting explants and carrying out a detoxification pretreatment; step two, disinfecting the surfaces of explants and taking off the stem tips; step three, inducing the stem tips to obtain seedlings; step four, subjecting the seedlings to subculture multiplication culture; step five, carrying out virus detection through a semi-quantitative RT-PCR method; step six, domesticating and transplanting the virus-free tube seedlings. The provided method can effectively remove various viruses and bacteria taking cassava stems as the nutrient source, and obtains virus-free cassava seedlings. The healthy planting, purification and rejuvenation of cassava seedling can be achieved. The occupied space for propagation is small, the propagation speed is quick, and the survival rate of transplanting is high. The provided method can be applied to safe species exchange among different countries and areas, can provide healthy cassava seedlings, reduces the happening and spreading of diseases, and provides technical guarantees for sustainable development of cassava.

The invention discloses a cleaning device for an accurate thread pipe component. The cleaning device comprises a rack, a gear frame, a driving disc, an adjusting seat and an operation frame, wherein adriving disc is installed at the position of the left upper corner of the rack; the adjusting seat is installed on the outer disc surface of the driving disc; a driving motor and an adjusting motor are installed on the rear side of the gear frame respectively; a driven gear is installed on the rear wall of the driving disc; the front end of the driving motor is installed on a transmission gear through a driving rotating shaft; the transmission gear and the driven gear are engaged; a first adjusting bevel gear is installed at the front end of the adjusting motor through an adjusting rotating shaft; a thread rod is vertically installed inside the adjusting seat; a second adjusting bevel gear is installed at the bottom of the thread rod; the first adjusting bevel gear and the second adjusting bevel gear are engaged; and a thread bushing is installed on the thread rod. According to the cleaning device, dirt on the surface can be removed more effectively, the direct is avoided from movingtowards a single direction during cleaning, and a dirt accumulation area during cleaning in the single direction cannot be formed.

The invention relates to a non-contact insect charge-measuring system which comprises an electric field sensor unit, a control and signal-processing unit, a data storage display and power supply unit and can measure an insect charge signal in a non-contact electric field induction mode. The system can measure the electric field signal of an insect in a natural motion state in normal motion environment without changing the charge distribution of the insect, can truly reflect the charge characteristic of the insect in the natural condition, acquire the low-frequency electromagnetic characteristic data of the insect by analyzing collected data, extract the charge characteristic of the insect, and accurately and effectively trap the insect. The non-contact insect charge-measuring system has long service life and wide application prospects in insect basic theoretical research and the field of pest prevention and control.

The invention discloses a vision test device comprising a machine frame, a conveyor belt, mobile phone positioning clamps, a vision test mechanism and a removal device. The horizontal conveyor belt isinstalled on the machine frame. The multiple positioning clamps used for positioning mobile phones are installed on the conveyor belt. The vision test mechanism is installed at the position, corresponding to one side of the conveyor belt, of the machine frame. The removal device used for removing defective products is further installed on the machine frame. The removal device comprises a horizontal slide rod, a vertical slide rod, a telescopic cylinder and a motor. A fixed block is installed at the output end of the motor, is arranged on the outer portion of a rotation rod in a sleeving manner and is in sliding fit with the rotation rod. One end of the rotation rod is hinged to a vertical slide sleeve through a hinge shaft. The vision test device has the beneficial effects that while a vision test is conducted, the defective products can be automatically and efficiently removed according to the generated judgment result, the manual removal work does not need to be conducted by people,and the detection efficiency is greatly improved.

The invention discloses a road optimization method based on traffic video structured data quality control. The road optimization method includes the steps that error data are removed according to license plate information, redundant data are removed with the help of the vehicle passing time and lane numbers, traffic abnormal data are repaired, and road optimization is performed combining the roaddesign traffic capacity. The correction of the traffic abnormal data includes the three steps that first, based on a secondary screening data set, the traffic is controlled combining the traffic capacity, second, a reasonable dynamic traffic threshold value is constructed with the help of a Tukey smoothing method to identify the traffic abnormal data, and third, based on historical data or adjacent detector data, the traffic abnormal data are corrected with the help of multiple linear regression to obtain an effective data set. According to the road optimization method based on traffic video structured data quality control, quality control on traffic video structured data can be simply and efficiently performed, interference of noise data is avoided, and the accuracy of a road optimizationdesign scheme can be ensured.

The invention discloses a double-load remote sensing image fusion method. The method includes: 1, collecting an infrared image and a visible light image of a same scene at the same time; 2, acquiringbackground mean value parameter value of the visible light image; 3, performing target detection on the visible light image to acquire a target slice; 4, acquiring physical position of a target according to image coordinates of the target slice; 5, acquiring image coordinates of the target on the infrared image according to the physical position of the target, and cutting out an image block F containing the target by taking the coordinates as a center; 6, setting a threshold value P according to the parameter value, and counting the number N of pixel points with pixel point grayscale value greater than P in the image block F; when the number N is within a set numeric value interval and the pixel points greater than P are in centralized distribution, judging the target slice as a real target, and when the number N is greater than a right-end value of the set numerical value interval, judging the target slice as a real target. By the method, false alarm rate in optical image target detection can be lowered, and target detection rate can be increased.

The invention provides a 2G neighboring cell set adaptation method based on scenarized eSRVCC service. The method comprises the following steps: collecting configuration data and performance indicatordata of an eSRVCC existing network within a preset range; obtaining a 4G cell information table and a 4G and 2G station distance table from the configuration data; determining a plurality of neighboring cell scenes of a 4G macro station cell according to the 4G cell information table and the 4G and 2G station distance table by adopting a neighboring cell configuration rule; for each neighboring cell scene, obtaining a neighboring cell set corresponding to the neighboring cell scene according to a neighboring cell selection strategy in the neighboring cell scene, as well as the 4G cell information table and the 4G and 2G station distance table; and adjusting the neighboring cell set, and obtaining a 2G neighboring cell set table to be added to each 4G macro station cell. By adoption of themethod provided by the invention, fast and effective check can be made on the cells in the whole network.

The invention discloses an ARP bidirectional defense system and method, and relates to the technical field of ARP defense. The system comprises a gateway server comprising a gateway ARP packet filtering module and a plurality of hosts provided with host ARP packet filtering modules, the plurality of hosts are connected with the gateway server and are used for actively acquiring the gateway MAC ofthe gateway server; a gateway ARP cache mapping table is also arranged in the gateway server; wherein an ARP request packet and an ARP response packet which are sent to the host through the gateway server within a preset time threshold value are stored in the gateway ARP cache mapping table. A gateway ARP packet filtering module is arranged in a gateway server, and whether an IP address and an MACaddress in an ARP message exist in a cheating record table or not is retrieved through the gateway ARP packet filtering module and used for surface monitoring of a malicious attack source host; then,the abnormal ARP message in the ARP message is identified through the gateway ARP packet filtering module and is marked as abnormity, the source host for deceptive attack is efficiently removed, andthe security is improved.

The invention relates to the technical field of new energy batteries, and discloses a feeding device for code spraying of new energy batteries. The feeding device comprises a conveying device. A flatplate is arranged at the lower portion of the conveying device. A fixed frame is fixedly installed on the upper side of the flat plate. A top plate is arranged at the upper end of the fixed frame. A cleaning nozzle is arranged on the left side of the lower portion of the top plate. An arc-shaped plate is fixedly installed on the right side of the top plate. Protruding columns are arranged on the front side and the rear side of the right side of the arc-shaped plate correspondingly. Rotating heads rotationally sleeve the protruding columns. Fixed blocks are arranged on the front side and the rear side of the right side of the arc-shaped plate correspondingly. According to the feeding device for code spraying of the new energy batteries, by arranging limiting rods capable of being freely adjusted, the cleaning nozzle for cleaning the surfaces of the batteries in cooperation, slide wheels for sensing inferior-quality batteries, and a high-pressure spraying nozzle for removing the inferior-quality batteries in cooperation, the effects of limiting the different types of batteries, pre-cleaning the batteries before code spraying and efficiently removing the inferior-quality batteries arerealized.

Provided is an intelligent tobacco leaf stem removing device. The device can realize modes of stem removing, stacking, tobacco stem smashing, flexibly controlling and the like. Each cloth belt is formed into a closed driving belt by winding a large roller and each small roller, and the contact surface formed by the large roller and the driving belTS can complete the conveying, spreading and stacking of tobacco leaf pieces. A circular double-edged hob is arranged in the middle of the large roller, each hob blade and the corresponding rotary butcher's knife and chopping block form two pairs of rotary rolling cutters, and the rolling cutters complete the cutting of leaf stems. Wall plates at the two sides provide support, fixation and connection for the large roller, small rollers and other functional parTS. A set of manual connecting rod mechanisms is arranged on an operation table, the opening and closing of a machine head are completed, and at the same time, the relaxation and tensionof the cloth belt are completed. A separate tension spring mechanism is arranged on each driving cloth belt, the cloth belt tension is kept when the machine head is closed, and the tension spring is unloaded to keep the cloth belt loose when the machine head is opened.

The invention discloses a face detection method and a face detection device. The face detection method comprises the steps of: acquiring image information to obtain a first image; performing face outer frame identification on the first image to obtain a face frame numerical value of the first image; acquiring image information again to obtain a comparison image; performing face outer frame identification on the comparison image to obtain a face frame numerical value of the comparison image; comparing the face frame numerical value of the first image with the face frame numerical value of the comparison image; performing rapid face scanning on the comparison image when the numerical values are equal; and performing overall face scanning on the comparison image when the numerical values aredifferent. According to the face detection method and the face detection device, rapid face scanning is performed on the comparison image with the same face frame number as the first image, whether toprocess the current image information is decided according to whether a processor is in a busy state at present, large amounts of repeated and unnecessary image information are effectively eliminated, and the computing efficiency of a subsequent face identification module is improved.

The invention discloses a wind power plant short-term power prediction method based on feature selection and multi-level deep transfer learning, and the method comprises the steps: dividing collected data into two data sets which are respectively used as a target wind power plant and a source wind power plant for transfer learning; firstly, subjecting data samples of a source wind power plant to multi-level division according to the degree of correlation with a target wind power plant, then creating a multi-level deep migration learning model of the target wind power plant based on the multi-level data samples of the source wind power plant, and finally, optimizing the multi-level deep migration learning model by adopting a feature selection method. Through prediction of the method, the data training scale can be reduced, data overfitting is avoided, and the method has popularization value.

According to the sparse accelerator applied to on-chip training provided by the embodiment of the invention, a plurality of input numerical values in the input numerical value buffer module, a plurality of reference numerical values in the reference numerical value buffer module and a mask in the mask buffer module are dynamically adjusted in different acceleration stages; the method comprises the following steps of: performing primary screening on invalid operations by a coarse-grained unit in a coarse-grained manner, and further screening the invalid operations by a fine-grained unit included in each processing unit in a processing module in a fine-grained manner, thereby eliminating all invalid operations in three training stages of on-chip training; in addition, the plurality of computing cores can perform parallel acceleration processing, and the plurality of processing units included in the processing modules in the plurality of computing cores can also perform parallel acceleration processing, so that the hardware utilization rate of the sparse accelerator is further improved. Therefore, the sparse accelerator applied to on-chip training can efficiently and accurately eliminate all invalid operations in three stages of on-chip training.