19results about How to "Improve extraction quality" patented technology

The invention discloses a biased binocular visual odometer method and device based on strawberry cuttlefish bionics. The biased binocular visual odometer method comprises the following steps: synchronously acquiring a bright field image and a dark field image collected by a biased binocular camera and inertial data of an inertial measurement unit; constructing a perceptual attention weight grid according to the bright field image and the dark field image, and performing brightness normalization processing on the bright field image and the dark field image; extracting lateral visual features based on the normalized image and the perceptual attention weight grid; and fusing the biased visual features with the inertial data, and solving through nonlinear optimization to obtain a carrier pose estimation result. According to the invention, the dynamic range of the binocular vision system is expanded, and the imaging and sensing capabilities of the system in an HDR scene are improved. And meanwhile, the positioning precision and robustness of the binocular visual odometer in an HDR scene are improved.

The present application belongs to the technical field of industrial internet security, and relates to an industrial internet vulnerability library establishment method, which solves the problems of low construction quality, weak traceability, insufficient continuous evolution ability and difficulty in supporting deep security application of the existing vulnerability library. The present application obtains industrial internet multi-source vulnerability data and external feedback data, obtains extraction results and initial confidence based on multi-source vulnerability data by adopting rule extraction and remote supervision deep learning joint extraction, divides the certainty knowledge base and the to-be-reviewed queue according to the double threshold after the confidence is optimized by the graph convolution network, analyzes the external feedback data of the samples in the to-be-reviewed queue as the instant reward signal, optimizes the sampling strategy and updates the model through deep reinforcement learning, extracts triples from the certainty knowledge base to build a knowledge graph and generate a version hash chain regularly, and obtains a structured vulnerability knowledge base containing a hash chain and confidence evaluation. The present application realizes high-precision construction and dynamic optimization of the vulnerability library.

The application discloses a handwriting standard monitoring method and system based on image enhancement, relates to the technical field of image processing and intelligent evaluation, and comprises the following steps: obtaining a handwriting character image through adaptive light compensation of multiple light sources; after image preprocessing such as geometric correction and adaptive binarization, a convolutional neural network is used to extract character skeleton topological structure features for structural standard analysis; meanwhile, a pen tip motion trajectory is extracted based on an optical flow method and time sequence standard analysis is performed; after the structural and time sequence bimodal features are fused, a scoring model constructed based on a style transfer network is input to calculate a standard score; and a hierarchical error correction report is automatically generated according to the score grade and deviation type. The technical problems of incomplete stroke extraction, insufficient structural analysis precision, lack of dynamic writing feature modeling and lack of hierarchical error correction feedback under the complex illumination and shielding conditions in the prior art are solved.

The application discloses a kind of low-illumination condition fast moving target multi-view cooperative tracking method and device, the method includes low-illumination condition fast moving target multi-view tracking algorithm and unmanned aerial vehicle cluster cooperative tracking algorithm;Multi-source environment perception is carried out using millimeter wave radar sensor, RGB vision sensor and infrared vision sensor carried by unmanned aerial vehicle;Multi-source perception data is normalized in time and space dimensions by three space-time heterogeneous alignment algorithm;Multi-source fusion perception data after space-time normalization is input into multi-source fusion perception feature calculation network to calculate the world coordinates of the tracked target under the current frame;The calculation result is compared with the calculation result of last frame, to judge the change of the position and moving direction of the tracked target in world coordinate system;The world coordinate information of the tracked target is shared through cluster communication, and the trajectory of unmanned aerial vehicle cluster is formulated and updated using multi-agent reinforcement learning, to realize unmanned aerial vehicle cluster cooperative tracking.

The utility model discloses a low temperature boiling pot for honeysuckle chlorogenic acid extraction, including the body of pot, the pot cover, heating device, stirring device, filter device and control device. The bottom of body of pot is equipped with the heating cavity of adaptive cone and the heating tube of helical distribution in the heating cavity, is equipped with the openable flap, the observation window and the exhaust hole on the pot cover, and the stirring device adopts the scraper type stirring structure, and the stirring structure is composed of the stirring main shaft, the supporting arm and the elastic scraper, is provided with multiple groups of radial extension supporting arms on the stirring main shaft, and the end of each supporting arm is equipped with the elastic scraper of the adhesion body of pot inner wall surface, the bottom of body of pot is equipped with the discharge gate and double -deck filter device, and control device can accurate control heating temperature, boiling time, stirring speed parameter etc. This boiling pot can even heating, promote the even heating of medicinal liquid, filter impurity and accurate temperature control, effectively avoid honeysuckle pasting and chlorogenic acid high temperature degradation, improve chlorogenic acid extraction efficiency and quality.

The utility model discloses a distillation and extraction device for preparing wormwood essential oil, relates to the technical field of distillation and extraction, and aims to solve the problems that in the prior art, raw materials are suspended through a material containing barrel, so that the raw materials are in full contact with steam, but the raw materials are still accumulated in the material containing barrel, so that the middle parts of the accumulated raw materials are in limited contact with the steam; and the distillation effect is influenced. A separation plate is fixedly connected to the lower end in the distillation device, a material containing barrel is arranged at the position, at the upper end of the separation plate, in the distillation device, a stirring shaft is rotationally connected to the middle in the material containing barrel, a plurality of stirring rods are fixedly connected to the two sides of the stirring shaft, and a steam generator is connected to one side of the distillation device; the other side of the distillation device is provided with a condensing device, and the lower end of the condensing device is connected with an oil-water separator, so that automatic stirring of a wormwood raw material in the material containing barrel is realized, accumulation of the raw material is effectively prevented, and full contact between steam and the wormwood raw material is ensured.

The invention relates to a road alignment safety evaluation method based on three-dimensional point cloud spatial modeling, and aims to overcome the defects of poor adaptability of a road surface point cloud segmentation algorithm and strong dependency of vertical line fitting on a road marking in a complex scene by utilizing characteristics of obtained high-density point cloud data. The road key information collaborative extraction method comprises the following steps: firstly, reducing the influence of environmental noise on road surface features through a normalized gradient filtering algorithm and a statistical outlier filtering algorithm; secondly, constructing a joint clustering model and an interactive region growing algorithm considering elevation, normal vector and pavement material reflection heterogeneity, and realizing precise segmentation of pavement point cloud in a complex scene; and then extracting a road surface edge line, obtaining road center line data, and generating a safety evaluation result list based on road center line parameters of a road plane, a longitudinal section and a cross section line shape. The research results provide technical support for application scenes such as road maintenance detection and automatic driving high-precision map construction.

The invention relates to the technical field of coffee production, in particular to a spiral powder distributor and a powder uniform distribution method thereof. The powder distribution device comprises a top suspension support, a transverse linear driving mechanism is installed on the lower side of the top suspension support, a vertical longitudinal support is arranged below a driving sliding block of the transverse linear driving mechanism, a longitudinal linear driving mechanism is arranged on the longitudinal support, and a sliding block of the longitudinal linear driving mechanism is connected with a powder distribution support. A powder distribution head for uniformly distributing coffee powder and a powder distribution motor for driving the powder distribution head to rotate are mounted on the powder distribution bracket; the coffee powder distributing device is simple in structure, the powder distributing head is driven to move into the lower brewing device through double-shaft action, coffee powder can be evenly distributed through rotation of the powder distributing head, the coffee powder is evenly distributed, the surface of the coffee powder is flat, and therefore the extraction quality is improved; and the device can be additionally arranged on the existing equipment without the equipartition function, so that the production effect is improved.

The utility model relates to the technical field of traditional Chinese medicine extraction and filtration, and discloses a traditional Chinese medicine decoction piece multi-layer extraction and filtration device which comprises a processing table, an extraction barrel is fixedly connected to the left side of the top of the processing table, a rotating motor is fixedly installed at the bottom of the extraction barrel, and the output end of the rotating motor is fixedly connected with a T-shaped installation frame. A fine filter cylinder is arranged at the top of the T-shaped mounting frame, a coarse filter cylinder is arranged at the bottom of the inner side of the fine filter cylinder, a fixing bolt penetrates through the bottom of the inner side of the coarse filter cylinder, and the tail end of the fixing bolt sequentially penetrates through the bottom of the inner side of the coarse filter cylinder and the bottom of the inner side of the fine filter cylinder and is in threaded connection to the center of the top of the T-shaped mounting frame. According to the utility model, the coarse filter cylinder and the fine filter cylinder are driven by the rotating motor to rotate, so that the extracting solution is mixed with the traditional Chinese medicine, and the effects of increasing the contact area of the traditional Chinese medicine and the extracting solution, filtering the extracting solution in multiple layers, improving the extracting efficiency and quality of the traditional Chinese medicine and obtaining purer extracting solution are realized.

The invention relates to a rapid sign language translation method based on dialogue key frame selection, which comprises the following steps of: mapping a previous text in a dialogue to a word feature space by using a word embedding model to obtain statement-level text feature representation; inputting the sign language video frame image into a lightweight CNN, and extracting lightweight visual space feature representation; calculating a correlation score between the text feature representation and the lightweight visual space feature representation, and selecting a key frame by adopting a Top-K method; inputting the key frame sequence into a fine CNN (Convolutional Neural Network), and further extracting fine visual space feature representation; inputting the obtained fine visual spatial feature representation into a Transform model, extracting a time sequence feature of the key frame, and decoding the time sequence feature of the key frame to obtain a sign language translation result; and training model parameters.

The utility model relates to a low-grade heat source heat extraction device which comprises an outer heat preservation cylinder, an inner heat preservation cylinder is coaxially arranged in the outer heat preservation cylinder, a heat conduction cylinder is coaxially arranged in the inner heat preservation cylinder, and a heat conduction pipe is coaxially arranged in the heat conduction cylinder. A gap is reserved between the inner heat preservation barrel and the heat conduction barrel to form a first cold water flow channel, a gap is reserved between the heat conduction barrel and the heat conduction pipe to form a waste residue flow channel, a second cold water flow channel is formed in the heat conduction pipe, and a plurality of first heat conduction rings and second heat conduction rings are arranged in the waste residue flow channel and distributed in an up-down spaced and staggered mode. The outer ring surface of the first heat-conducting ring is fixedly sleeved with the inner side wall of the heat-conducting cylinder, the inner ring surface of the first heat-conducting ring is inverted conical, and a gap is reserved between the bottom end of the first heat-conducting ring and the heat-conducting pipe; the inner ring surface of the second heat-conducting ring is fixedly sleeved with the outer side wall of the heat-conducting pipe, and the outer ring surface of the second heat-conducting ring is right conical, and a gap is reserved between the bottom end of the second heat-conducting ring and the heat-conducting cylinder. According to the utility model, waste residues can be crushed firstly and then subjected to multiple diversion heat exchange, so that the heat transfer is more sufficient, and the extraction quality is higher.

The application discloses a kind of medicine mixed processing device, including purification tank, the outer wall lower end of purification tank is connected with electric hinge by bolt fixation, the bottom of electric hinge is hinged and is blocked bottom plate, the upper surface of blocked bottom plate is fixedly connected with the first sealing ring for sealing extrusion, the outer wall of purification tank is opened and is fed into mouth, the top of purification tank is fixedly connected with fixed frame, and the middle part of fixed frame is fixedly connected with motor;In the application, sealing plate is in the state of downward motion and rotation, sealing plate drives stirring rod to move downward in the process and also in the state of rotation, thereby realizing the mixing effect of traditional Chinese medicinal materials in the inside of purification tank, improving the mixing efficiency of traditional Chinese medicinal materials, and also avoiding the problem that traditional Chinese medicinal materials mixing is not ideal, resulting in the problem that medicine extraction effect is not ideal, thereby improving the extraction quality of traditional Chinese medicinal materials.

This utility model discloses a herbal stirrer, relating to the field of smart home appliance technology. It includes: a main body of the herbal stirrer, with a heating chamber inside; a storage cup disposed within the heating chamber, into which the material to be processed is placed; a magnetic stirrer disposed within the storage cup; and a stirring drive assembly disposed below the heating chamber. The power output end of the stirring drive assembly is connected to a magnetic drive unit, which is magnetically connected to the magnetic stirrer. When the stirring drive assembly drives the magnetic drive unit to rotate, the magnetic stirrer rotates within the storage cup. The stirring drive assembly outside the heating chamber uses magnetic force to drive the magnetic stirrer, thus achieving the technical effect of stirring the material while the heating chamber is heating.

The invention relates to the technical field of image recognition, and discloses a coal conveying belt foreign matter detection method and system based on a visible light image, and the method comprises the steps: carrying out the smooth denoising of the visible light image of a coal conveying belt operation region, obtaining a standard image, carrying out the multi-stage enhancement, obtaining a contour enhancement and texture suppression image, and carrying out the fusion of a fusion feature; semantic segmentation is carried out on the standard image to obtain a segmentation mask, a three-dimensional point cloud is obtained through binocular vision, and statistical projection is carried out to obtain a region surface normal distribution diagram; coupling and evaluating the fusion features, the mask shape features and the geometric features of the normal distribution map, and generating a comprehensive foreign matter detection report of the coal conveying belt operation area; the efficiency of detecting the foreign matters on the coal conveying belt based on the visible light image can be improved.

This utility model relates to the field of food processing technology, and in particular to a pulp separation device. It solves the problem that existing equipment, which relies on sweeping to extract residual juice from fruit pulp, has low efficiency and poor extraction quality, failing to completely remove all residual juice. The pulp separation device includes an outer chamber, a discharge cylinder, and a separation chamber. The discharge cylinder is installed on top of the outer chamber, with its discharge end penetrating through the top of the outer chamber. The separation chamber is detachably connected to the inside of the outer chamber via a support assembly, and its top corresponds to the discharge section of the discharge cylinder. A collection box is located at the center of the bottom of the outer chamber's inner cavity. The separation chamber has an opening at its top and a filter plate is detachably connected inside. This utility model applies uniform pressure to the fruit pulp using a pressing plate and a horizontal pushing structure, effectively improving the juice extraction efficiency and quality, ensuring that residual juice in the fruit pulp is fully squeezed out and flows through the filter plate into the collection box.

The utility model relates to the technical field of natural product extraction, and discloses a low-temperature atomization and condensation combined natural product extraction device which comprises a mounting table, an extraction tank fixedly mounted at the upper part of the mounting table, a box cover mounted at the upper part of the extraction tank, and a first discharge pipe communicated with the bottom of the extraction tank, the connecting assembly comprises a stirring mechanism arranged on the upper portion of the mounting table, an auxiliary mechanism is arranged on the upper portion of the mounting table, a feeding pipe is arranged on the upper portion of the box cover in a communicating mode, valves are arranged at the end of the feeding pipe and the end of a first discharging pipe, and a rotating shaft is rotationally connected with the box cover through a bearing. One end of the first spring is fixedly connected with the sliding block, and the outer side of the sliding block is fixedly connected with the mounting sleeve. The utility model solves the problems that when the existing extraction device is used, materials and solvents cannot be effectively mixed, so that the extraction effect of the materials is influenced, and the applicability of the device is influenced.

This utility model relates to the technical field of spice extraction devices, and discloses a spice extraction device with a grinding structure, including a barrel body. A support is fixedly connected to the side wall of the barrel body, a feed pipe is fixedly connected to the upper surface of the barrel body, and a discharge pipe is fixedly connected to the bottom of the barrel body. A grinding assembly is disposed inside the barrel body, a filter assembly is disposed on the side wall of the discharge pipe, and a valve is disposed on the side wall of the discharge pipe. The grinding assembly includes a grinding column and a grinding seat. The side wall of the grinding seat is fixedly connected to the inside of the barrel body, a motor is fixedly connected to the upper surface of the barrel body, and a connecting plate is fixedly connected inside the barrel body. In this utility model, the motor drives gear one to rotate, which in turn drives a rotating shaft to rotate through meshing with gear two, thereby driving the grinding column to rotate, thus achieving the crushing and grinding of spices. This structure improves the extraction quality of spices.

The application discloses a power distribution network operation state monitoring method and system based on multi-source data analysis, and relates to the technical field of power distribution network operation state monitoring.The power distribution network operation state monitoring method based on multi-source data analysis comprises the following steps: time-frequency analysis effectiveness evaluation; blind source separation effectiveness evaluation; and power distribution network operation fault category identification.The application obtains a reflected wave signal through wavelet transform processing, evaluates the time-frequency analysis effectiveness according to a wavelet transform evaluation parameter, judges whether to perform wavelet transform optimization, then performs blind source separation processing to obtain a main reflected wave signal, evaluates the blind source separation effectiveness according to a blind source separation evaluation parameter, judges whether to perform blind source separation optimization, and finally identifies the power distribution network operation fault category according to the obtained time-frequency characteristics, thereby improving the time-frequency characteristic extraction efficiency in power distribution network operation state monitoring and solving the problem of low signal characteristic extraction efficiency in power distribution network operation state monitoring due to multi-source signal interference in the prior art.

The application relates to the technical field of image recognition, and discloses a visible light image-based coal conveying belt foreign matter detection method and system, the method comprising the following steps: smoothing and denoising a visible light image of a coal conveying belt operation area to obtain a standard image, obtaining a contour enhancement and texture suppression image through multi-stage enhancement, fusing the contour enhancement and texture suppression image to obtain a fused feature, performing semantic segmentation on the standard image to obtain a segmentation mask, obtaining a three-dimensional point cloud through binocular vision and counting projection to obtain a region surface normal distribution image, coupling and evaluating the fused feature, the mask shape feature and the normal distribution image geometric feature, and generating a comprehensive foreign matter detection report of the coal conveying belt operation area; and the application can improve the efficiency of the visible light image-based coal conveying belt foreign matter detection.