39results about How to "Guaranteed speed requirements" patented technology

A real-time visual detection and identification method for high speed rail surface defects comprises the following steps of: (1) image acquisition; (2) image preprocessing; (3) defect preliminary detection, that is, performing logic or operation combination of detection results based on gray scale compensation with detection results based on top-hat operation, and detecting whether an abnormal area exists in an image, if not, finishing the detection, or else continuing the processing; (4) defect accurate positioning, that is, accurately positioning the defect by an algorithm of bonding single defect, an algorithm of filling holes in the defect area, and an algorithm of selecting the main defect, and extracting the defect area through marks; (5) defect classification, that is, extracting and selecting characteristics of the defect area, designing and training a BP neural network, and classifying the defects by the BP neural network. The invention has the advantages of simple principle, high automation degree, high detection speed, and high detection precision.

A cotton defect detection and recognition method based on multi-spectral technology, the steps of which are: (1) image acquisition; (2) image preprocessing; (3) preliminary detection of defects: using the improved morphology gradient algorithm for edge detection to obtain each defect Integrate the strength of edge detection to obtain the contrast-enhanced image of each defect; (4) Accurate defect positioning: convert the image into a connected domain image by improving the iterative threshold method and morphological processing, and accurately locate the defect by selecting the main defect algorithm, and extract it by marking Defect area; (5) Ginning quality judgment: Count the number of each defect, calculate the total number of cotton defects, and obtain the ginning quality grade. The invention has the advantages of simple principle, fast detection speed and high detection precision.

Disclosed is an automatic sorting system for household refuse. The system comprises a refuse target identification unit, a refuse sorting control unit, a mechanical arm and a sampling camera which is mounted at the fixed position of a conveying belt for conveying household refuse; the sampling camera shoots the household refuse on the conveying belt in real time and transmits obtained optical images to the refuse target identification unit; the refuse target identification unit receives the optical images in real time and displays the images, according to the characteristics of presorted target refuse, the optical images are treated, targets in the images are identified, and target posture information frames are obtained, and are input into the refuse sorting control unit; and the refuse sorting control unit judges whether a target enters the working section of the leisure mechanical arm or not according to the input target posture information frames and the opposite position of the mechanical arm and the conveying belt, the posture information of the target entering the working section of the mechanical arm is converted into a mechanical arm coordinate system and sent to the corresponding mechanical arm, and the corresponding mechanical arm is controlled to grab the corresponding target.

Based on the artificial error correction mechanism and the deep learning network collaborative machine vision recognition system, the deep learning network receives the captured visual feedback images in real time, performs deep learning processing on each frame of the received image, and converts the processed image and the coordinates of the detection target on the image, The angle and time information is sent to the intermediate result comprehensive processing unit; the processed image is sent to the man-machine error correction interface; the man-machine error correction interface continuously displays the processed image of each frame received, and the visual feedback image is manually captured According to the specific situation, remove the emphatic display of the obvious wrong target on the displayed image, and send the relevant information to the intermediate result comprehensive processing unit; the intermediate result comprehensive processing unit detects the target from the received frame of image The information of the wrong target is eliminated from the coordinates, angle and time information of the image coordinate system, and the coordinates, angle and time information of the recognized target are obtained. At the same time, the emphasis display of the wrong target is removed from the received visual feedback image, and the completion Visual Identity.

The invention relates to an energy efficiency-based NOMA cellular vehicle networking dynamic resource scheduling method, which belongs to the field of mobile communication. The method is: in the NOMA cellular network scenario supporting V2V communication, according to the constraints of V2V user reliability, V2V user delay, NOMA user rate requirement and user power limit, the long-term average energy efficiency of the system energy efficiency is maximized In order to optimize the target, a stochastic optimization model of joint NOMA user's sub-channel allocation, V2V user's spectrum allocation and congestion control requirements is established, and power allocation and sub-channel scheduling strategies are formulated for NOMA users and V2V users. The present invention can maximize the energy efficiency of the system under the premise of ensuring the stability of the system, and simultaneously satisfy the time delay and reliability of the V2V user and the rate requirement of the NOMA user.

The invention relates to a hydraulic system with fast injection loops of a die casting machine. The hydraulic system comprises an injection oil cylinder, a first stage of fast injection loop and a second stage of fast injection loop, wherein the first stage of fast injection loop and the second stage of fast injection loop are mutually independent and connected with each other in parallel, and the connected two ends of the first stage of fast injection loop and the second stage of fast injection loop are respectively connected with the rear chambers of the injection oil cylinder. Each of the first stage of fast injection loop and the second stage of fast injection loop uses an independent accumulator, and the first stage of fast injection loop and the second stage of fast injection loop are not interfere with each other in the working process. The pressure loss of the first stage of fast injection is reduced, and energy is saved. The first stage of fast injection does not consume the pressure oil of the second stage of fast injection accumulator, so that the pressure of the second stage of fast injection accumulator is not reduced, and therefore the speed demand of the second stage of fast injection can be beneficially ensured. The hydraulic system has the characteristics of being simple and reasonable in structure and energy-saving and being beneficial to ensuring the speed demand of the second stage of fast injection.

The invention discloses a visual detection method for the quality of liquid medicine on a high-speed pharmaceutical production line. The visual detection method is characterized by comprising the following steps of: firstly, acquiring images, i.e., acquiring five continuous sequence images of liquid medicine under a halted state of a bottle after revolution at a high speed, wherein the shot images are the gray-level images; secondly, initially denoising the images, i.e., removing the dynamic interference of the bottle wall by an offset background reduction method based on a characteristic point; thirdly, detecting a target, i.e., removing the static interference by a difference method and a threshold-based division method; fourthly, recognizing the target, i.e., judging whether the targetis a foreign body or not according to the continuation of the motion trail of the target, and recording the foreign body; and fifthly, judging the target, i.e., judging whether the foreign body is the visible foreign body or not according to whether the size of the recorded foreign body exceeds the specified range or not. The method has the advantages of high detection precision and high detection speed.

The invention discloses a synchronized phasor measurement method for multi-level real-time verification. Firstly, the target signal in the power grid is obtained, and then the target signal is verified in real time to distinguish the transient mode, steady-state mode and dynamic mode of the power grid. Transient mode, steady state mode and dynamic mode use adaptive transient algorithm, steady state algorithm and dynamic algorithm to measure the synchronized phasor of the power grid, and can adopt adaptive algorithm for three different modes in the power grid, because Each mode uses an appropriate algorithm, so it can meet the requirements of response speed and measurement accuracy when measuring the synchronized phasor of the power grid. Compared with using one measurement algorithm in three different modes in the prior art, when measuring synchronized phasors in three different modes of the power grid, both the measurement accuracy requirements and the response speed requirements can be guaranteed. The invention also provides a synchronized phasor measurement device, equipment and storage medium for multi-level real-time calibration, with the above effect.

A multi-stage ladder-tooth type mixer for an integrated afterburner relates to an aeroengine afterburner. There are two-stage blending sections, each of which is composed of ladder-tooth crown mixers of different sizes, and the blending section is a ring structure. and a second-stage blending section, the first-stage blending section is set inside the second-stage blending section; each stage blending section is composed of an inner wall and a ladder-tooth crown mixer, and the ladder-tooth crown mixer is inwardly inclined with ladder teeth and outwardly inclined. The ladder teeth are alternately and evenly arranged on the outlet end face of the mixing section of each stage. When the gas flows through the inclining ladder teeth and the outward inclination ladder teeth, the staggered distribution of the ladder teeth induces a flow vortex, which forms a stable vortex at the rear end of the ladder-tooth crown mixer. And uniform mixing zone, strengthen the mixing of internal and external bypass airflow. It can effectively suppress the generation of noise, effectively enhance the mixing of the internal and external bypass airflow of the aero-engine, improve the mixing efficiency, reduce the total pressure loss, and thus improve the combustion efficiency of the afterburner.