79results about How to "Integrity" patented technology

The invention relates to a red-black image recognition and extraction method and system based on a power distribution network line, and belongs to the technical field of data processing. The method comprises the following steps: acquiring a red image and a black image of a power distribution network line from a GIS system; traversing the red image and the black image based on a set traversal algorithm, identifying switch equipment nodes in the power distribution network, and constructing a topological structure of the power distribution network; wherein a traversal algorithm is set to express the power distribution network as a graph, then node traversal is carried out, and verification is carried out through a preset rule; and based on the power distribution network topological structure, automatically constructing a power distribution network sketch. According to the embodiment of the invention, a complex and disordered power distribution network red-black diagram is converted into a power distribution network sketch which is matched with the switch equipment nodes more conveniently and visually, a solid foundation can be laid for subsequent intelligent monitoring of the power distribution network, and the data processing precision is improved.

The invention discloses a photovoltaic project natural disaster risk knowledge graph construction method, and relates to the field of key infrastructure risk assessment, and the method comprises the steps: S1, constructing a photovoltaic project natural disaster geographic information database based on text big data; s2, extracting a natural disaster risk causal relationship of the photovoltaic project based on machine learning; and S3, drawing a photovoltaic project natural disaster risk knowledge graph based on the photovoltaic project natural disaster geographic information base and the photovoltaic project natural disaster risk causal relationship. According to the method, the limitation that an existing method depends on traditional statistical data and is based on single disaster case analysis is solved, the data bottleneck is broken through from the source, the advantages of disaster text big data are fully played, and a big sample database for photovoltaic project natural disasters is built through natural language processing and a geographic information system platform; therefore, the natural disaster knowledge graph constructed by the method has higher universality and integrity.

The invention discloses a concrete member crack measurement method based on a convolutional neural network, and relates to the field of concrete crack detection, and the method comprises the steps: carrying out the marking, size clustering, image enhancement, coordinate transformation and other preprocessing operations of a concrete member image, and constructing a detection model architecture; wherein the backbone network adopts a pre-trained ResNet-50 network to extract multi-scale features of the image; the box neck and the box head are used for generating local crack box output; the grid neck and the grid head are used to generate a global fracture grid output. In a model training process, local box output and global grid output are optimized by adopting a joint loss function, and prior category information of crack size clustering is introduced to guide learning of a detection model. In the reasoning stage, an image to be detected is input into the trained detection model, box output and grid output are obtained, and a final crack detection result is obtained through post-processing such as non-maximum suppression. And aiming at low crack detection precision under a complex background, the detection precision is improved.

The application provides a consumer rights protection intelligent review method and system based on a large language model, and relates to the technical field of artificial intelligence and natural language processing. The method comprises: preprocessing a text to be reviewed to obtain structured text feature data; using a pre-trained large language model to perform semantic understanding on the structured text feature data to obtain a text semantic vector containing domain semantic information; performing joint retrieval and matching on the text semantic vector in combination with a knowledge graph and a rule base to identify and output a risk element set; and performing compliance determination based on the risk element set to obtain a preliminary review conclusion containing a risk level, evidence sufficiency, rule matching degree and benchmark confidence. The application automatically converts an original text into a high-confidence review conclusion with explainability through intelligent processing of the whole process.

The present application relates to the technical field of in-vehicle network communication, and discloses a lightweight and secure communication method and system between ECUs in an in-vehicle network. The communication method comprises an ECU identity authentication phase: each ECU interacts with a CAN gateway, and the CAN gateway performs batch identity authentication to verify the legality of all ECUs; a data classification phase: according to the data sensitivity, the data to be transmitted is classified as confidential data or non-confidential data; a data transmission phase: if the data to be transmitted is confidential data, the sender ECU uses a session key and an ASCON encryption algorithm to encrypt and authenticate the plaintext of the confidential data, generates ciphertext and authentication parameters, and sends a data packet containing the ciphertext and authentication parameters to the receiver ECU; if it is non-confidential data, the sender ECU uses a session key and an ASCON encryption algorithm to only sign but not encrypt the plaintext, generates an authentication tag, and sends a data packet containing the plaintext and the authentication tag to the receiver ECU. The present application takes into account the security and computational overhead of in-vehicle ECU communication.

The application discloses a grey cloth placing tool and method for floor mat production, and relates to the technical field of industrial automation production. The machine frame is provided with an X-axis driving module, a Y-axis driving module and a Z-axis driving module matched with the cloth lifting module and used for driving the cloth lifting module to move on the machine frame. The application has the advantages that the grey cloth lifting, conveying and flattening are integrated through the cooperation of negative pressure adsorption and tension control structure, and wrinkles are effectively inhibited; the double-mode adsorption of negative pressure and high-frequency vibration is adopted, high-permeability and conventional grey cloth are compatible, and the adsorption failure problem is solved; the vibration structure is self-driven by airflow, and no additional power is needed, so that the structure is simple and reliable; the multi-point flexible adsorption is matched with the rotatable mechanism, so that the grey cloth is protected from damage; the three-axis linkage and modular design improve the automation and universality, adapt to efficient continuous production, and improve the production quality, efficiency and equipment applicability of the floor mat.

The invention provides a self-corrosion permeable pollutant blocking material for underground water treatment and a preparation method of the self-corrosion permeable pollutant blocking material, and belongs to the technical field of underground water remediation. The self-corrosion permeable pollutant blocking material for underground water treatment is prepared from the following components in percentage by mass: 25 to 35 percent of cement, 12 to 18 percent of 2CaSO4. H2O, 8 to 15 percent of fly ash, 25 to 30 percent of grading pore-forming aggregate, 14 to 18 percent of nano pore-forming aggregate, 1 to 1.5 percent of viscosity modifier, 0.5 to 1 percent of early strength agent and 3 to 4.5 percent of modified biomass fiber, a pore matrix is jointly built through grading pore-forming aggregate, nano pore-forming aggregate and modified biomass fibers, the grading pore-forming aggregate and the nano pore-forming aggregate have self-corrosion shells, the pore-forming aggregate is an inactive substance and does not participate in the reaction of silicate cement from the stage before grouting to the hardening stage, and after the material is completely hardened, the pore-forming aggregate is a self-corrosion shell. And the graded aggregate and the nano pore-forming aggregate are converted into permeable pores containing active substances. The material has the advantages of being good in connectivity, high in supporting performance, wide in pollutant treatment capacity, high in pollutant treatment efficiency, long in continuous treatment time and the like, has anti-blocking capacity and can be pumped.

The invention provides a circuit board structure. The circuit board structure comprises a substrate, a first coaxial via hole, a second coaxial via hole and a plurality of grounding via holes, the substrate has a first surface and a second surface opposite to the first surface. The first coaxial via hole and the second coaxial via hole are arranged in the substrate, and the impedance of the first coaxial via hole and the impedance of the second coaxial via hole are respectively smaller than 50 ohms. The plurality of grounding through holes are arranged around the first coaxial via hole and the second coaxial via hole. The first coaxial via and the second coaxial via are configured to transmit a signal having a frequency in a range of 50 GHz to 68 GHz.

The utility model provides a kind of adjustable stroke air damper, the air damper includes: lower mounting seat, the lower mounting seat is fixedly connected with fixed cylinder, the fixed cylinder bottom end surface is fixedly sleeved with base;Shock column, the shock column is slidably connected in fixed cylinder side surface, the shock column top end is equipped with upper mounting seat;Shock absorbing spring, the shock absorbing spring is sleeved in fixed cylinder surface;Protective assembly, the protective assembly is sleeved in shock absorbing spring surface;Stroke control mechanism, the stroke control mechanism is installed in fixed cylinder bottom end.Protective cylinder moves with upper mounting seat, insulates outside hard thing and collides with shock absorbing spring, guarantees the integrity of shock absorbing spring surface, avoids coating drop, reduces the erosion of moisture dust, adjusts the damping of compression stage by gas flow control assembly, so that damper is more stable when bearing impact, controls the damping of rebound stage by adjusting assembly, avoids secondary vibration caused by spring rebound too fast.

The utility model relates to the field of bundling devices, and discloses an alfalfa harvesting and bundling device which comprises a cart and a transverse frame, the transverse frame is horizontally arranged at the bottom of the front end of the cart, a motor is fixed to the left side of the outer portion of the transverse frame, and a moving cavity is movably connected between the two sides of the interior of the transverse frame. A lead screw is assembled between the two sides of the interior of the moving cavity, and the two sides of the exterior of the lead screw are sleeved with shaft sleeves. According to the alfalfa harvesting and bundling device, the side plates are longitudinally fixed to the front ends of the shaft sleeves, when a handrail is held and a cart with tires is pushed to move, a motor is started firstly, then a lead screw in a moving cavity is rotated, the shaft sleeves on the two sides can be forced to slide horizontally and oppositely under the limitation of the moving cavity, and therefore the alfalfa harvesting and bundling device is formed. The distance between the two side plates is adjusted according to the area of an alfalfa cluster to be harvested, the feeding structure on the upper portion and the blade on the lower portion are forced to cut the alfalfa while gathering the alfalfa, then the alfalfa is bundled up, and the problem that the cutting distance is fixed is solved.

The application relates to the technical field of medical image analysis, in particular to a classification method and system based on thyroid or breast nodules, which comprises the following steps: acquiring a continuous image frame sequence to locate a calcification region mapping space coordinate, associating adjacent frame homologous segments, extracting a nodule outer edge feature corresponding to a final frame calcification position, analyzing a gray peak value direction connectivity, extracting a texture aggregation boundary feature and overlapping volume curvature and echo distribution analysis to obtain a classification result. In the application, the spatial position and time variation of the calcification region in the continuous image frame are jointly analyzed to obtain a dynamic migration track corresponding to the nodule outer edge feature, a propagation path is constructed in combination with the direction distribution of the internal gray peak value, the boundary contact feature and the texture aggregation form are matched in a unified space, a multi-dimensional feature set with spatial continuity and direction integrity is formed, the analysis ability of the nodule volume, curvature and internal structure difference is improved, and the stability and distinguishability of the classification result are enhanced.

The application discloses a preparation method of high-purity carbon powder prepared by step-by-step pyrolysis of waste tires, comprising the following steps: S1, removing steel wires and fiber accessories from waste tires, crushing and screening to obtain 80-120 mesh tire rubber powder, placing the rubber powder in a vacuum drying box, drying for 2-4 hours to remove the surface adsorbed water and light volatile impurities of the rubber powder, and obtaining dry tire rubber powder, thus, the closed pressure control vacuum drying pretreatment process can isolate external water vapor and dust, eliminate secondary pollution of the material, efficiently remove the surface adsorbed water, residual oil and light volatile components of the rubber powder under constant temperature conditions, adopt a three-stage gradient series condensation process, separate heavy, medium and light oil gas components according to the boiling point difference of the oil gas components, effectively avoid the problems of incomplete oil gas condensation and component adhesion and mixing, and adopt a dilute hydrochloric acid pickling-weak alkali desulfurization-multiple pure water rinsing grading purification system, low-speed stirring in the desulfurization stage, and consideration of the desulfurization effect and the structural integrity of the carbon powder.

The application discloses a malignant load identification method based on load event detection, relates to the technical field of malicious load detection, and comprises the following steps: capturing the resource consumption behavior of a computing entity to form an original runtime load sequence containing multiple indexes, separating load event fragments conforming to a preset trigger mode through event mode matching to obtain a preliminary load event set, extracting feature vectors of the event fragments, reconstructing the feature vectors into a standardized load behavior time sequence graph according to an event evolution rule through a behavior sequence reconstruction model, comparing patterns with samples in a malicious behavior knowledge base and calculating a matching degree score, and generating a malignant load identification conclusion through threshold judgment and aggregation analysis. The method realizes accurate identification of a malignant load through event fragment separation and time sequence graph reconstruction, and is suitable for a runtime malicious load detection scene of a computing entity.

The application discloses a kind of gene variation evidence mining method and system based on multi-stage trusted inference, the method includes: obtaining academic literature to be parsed, literature is structured and semantically blocked;Respectively extract gene variation experimental evidence in table data and text text, construct dual-source evidence set;Based on gene variation identification, complete heterogeneous evidence fusion, and evidence is standardized processing;Combined with original text accurate matching and semantic checking mechanism, evidence is carried out traceability checking, abnormal identification and no illusion accurate correction;Further, cross-fragment evidence is globally aligned, deduplicated and fused, to generate standardized, high-precision, traceable gene variation functional evidence dataset;The application can effectively solve the problems of unstable long text analysis, evidence missed detection, data distortion and model illusion in the prior art, and improve the accuracy and engineering application capability of gene variation evidence mining.

The utility model relates to the technical field of down feather processing, and discloses a down feather cleaning device for down feather composite fiber processing, which comprises a cleaning cylinder and a circular groove, the circular groove is arranged above the inside of the cleaning cylinder, an isolation cylinder is longitudinally inserted in the circular groove, and a cover plate is inserted at the top of the isolation cylinder. And rotating blocks are movably connected to the lower portions of the two sides of the cover plate, and an air blower is installed on the right side of the top of the cover plate. According to the down feather cleaning device for down feather composite fiber processing, an electric heating resistance wire is transversely assembled between a protective shell and a cover plate, down feather is poured into an isolation barrel by uncovering the top cover plate, an electric rotating rod is started to generate vortex in a cleaning barrel to clean down feather after the cover plate is closed, and after the down feather cleaning is finished, the cover plate is opened, and a baffle in a bottom limiting groove is pulled out; after the cover plate is reset, the air blower is started to blow airflow into the electric heating resistance wire through the pipeline, so that the drained down feather in the isolation cylinder is dried, and the problem that the down feather is easy to break is solved.

The embodiment of the invention provides an electric energy meter interface detection device and method, and the device comprises a control module; the strong current interface detection module is electrically connected with the control module and comprises a strong current detection branch circuit, and the strong current detection branch circuit is used for detecting a state signal of a strong current interface of the electric energy meter; the weak current interface detection module is electrically connected with the control module, the weak current interface detection module comprises a plurality of weak current detection branches, and each weak current detection branch is used for being connected with a weak current interface of the electric energy meter so as to detect a state signal at the corresponding weak current interface; and the plurality of indicating lamps are electrically connected with the control module and are used for displaying state signals of the strong current interface and / or the weak current interface. According to the technical scheme, the control module is connected with the strong current interface detection module and the weak current interface detection module, so that the real-time state signal detection of the strong current interface and the plurality of weak current interfaces of the electric energy meter is realized.

The invention discloses a direct current charging gun cable fixing structure and method and a charging gun, and relates to the technical field of electric automobile direct current charging guns, the direct current charging gun cable fixing structure comprises a semicircular first cable clamp and a semicircular second cable clamp, the first cable clamp is provided with a positioning hole, and the second cable clamp is provided with a positioning hole; a positioning column matched with the positioning hole is arranged on the second wire clamp; the first wire clamp is further provided with a locking hole, the second wire clamp is provided with a first threaded hole matched with the locking hole, and the locking hole and the first threaded hole are fixedly connected through a first locking assembly. The first wire clamp is provided with a second threaded hole, and the second threaded hole is used for passing through a screw column on a shell at the tail part of the charging gun and is fixed with the screw column through a second locking assembly. The second wire clamp is further provided with a protruding column used for being connected with a decorative cover of the charging gun in a clamped mode and a protruding check block used for being matched with a notch in the wall of a shell at the tail of the charging gun. According to the charging gun, the firm and reliable fixing requirement is met, the first wire clamp and the second wire clamp are both arranged in the charging gun tail shell, electroplating is not needed, and the cost is saved.

The invention provides a multi-magnetic-source initial positioning method, device and system based on NSS-VMGT fusion, and solves the problems of misjudgment of the number of magnetic sources, missing detection of edge magnets and low actuarial efficiency in the prior art. The method comprises the following steps of: acquiring 7 * 7 three-component sensor array data by an information processing module, and preprocessing by moving average filtering; deriving a magnetic field space change rate through an MGT module, and solving a related angle and an X / Y direction gradient in combination with a VMGT module; the NSS module detects a magnetic gradient tensor feature value and eliminates a coupling pseudo peak, the candidate point recognition module extracts internal candidate points and delimits an initial search area, and the candidate point fusion module detects edge candidate points and performs merging and duplicate removal. The device is based on an STM32H743 hardware platform and comprises a 7 * 7 array positioning plate, a double-MCU regional acquisition framework, a serial port data interaction link and a hardware signal filtering and voltage stabilizing circuit. According to the design, the recognition accuracy of the number of the magnetic sources is improved to 94%, and the scene requirements of multi-magnetic capsule targeted therapy and the like are met.

The invention relates to a complex surface structured light contour extraction method, electronic equipment and a storage medium, and the method comprises the steps: obtaining a line structured light original image of a complex surface, and extracting pixel points higher than a preset threshold value in each column or each row as contour points in a column or row scanning mode; for a column or row with only one contour point, adding the contour points of the column or row into a reference pool; for the column or row without the contour point, gradually reducing the threshold value for scanning until at least one contour point exists in the current column or row, or the threshold value is lower than a preset minimum threshold value; calculating the distance between adjacent contour points in the reference pool to obtain a structured light contour basic form entropy value; for a column or row with a plurality of contour points, the contour point with the minimum entropy increment of the morphological entropy in the column or row is reserved; and for the columns or rows without the contour points, ensuring that each column or each row has at least one contour point through interpolation, and obtaining the complex surface structured light contour.

The invention provides a two-wheeled electric vehicle. The two-wheeled electric vehicle comprises: a frame; the wheel at least comprises a front wheel assembly; the steering assembly is located on the front portion of the frame and used for changing the driving direction of the front wheel assembly; the vehicle body covering part comprises an outer covering part located in front of the steering assembly and an inner covering part located behind the steering assembly, and the outer covering part is connected with the inner covering part; the vehicle body covering part further comprises an inner mounting plate located between the outer covering part and the inner covering part, at least part of the inner mounting plate is located in front of the steering assembly, and the inner mounting plate is fixedly connected with the inner covering part. And the electric appliance assembly comprises a controller and a converter, and the controller and the converter are both arranged on the surface of the side, away from the steering assembly, of the inner mounting plate. The problems that in the prior art, electric appliance assemblies at the front end of a two-wheeled electric vehicle are distributed dispersedly, wiring is disordered, and the space utilization rate is low are solved.

The application discloses a kind of unmanned aerial vehicle inspection path dynamic programming method and system, applied to unmanned aerial vehicle path planning field, including according to the point cloud data of to be inspected area Construction three-dimensional geographic simulation model, and before inspection task starts, based on preselected inspection priority parameter, the historical data of each to be inspected equipment and the environmental influence data of each to be inspected equipment Determine the risk assessment index of each to be inspected equipment;At least based on the performance constraint condition of unmanned aerial vehicle and the risk assessment index from all to be inspected equipment Determine the first to be inspected equipment set, the inspection point corresponding to the first to be inspected equipment set is included in initial flight path to generate single inspection path covering the set.The unmanned aerial vehicle inspection path dynamic programming method provided by the application realizes the dynamic identification of to be inspected equipment and path priority embedding.

This utility model discloses a thin-walled, thickened wireline coring drill rod for complex strata, relating to the field of drill rod technology. It includes a drill rod body comprising an outer tube, with an inner tube slidably connected within the cavity of the outer tube. A first groove is formed on the top of the inner wall of the outer tube, engaging with a borehole elastic retaining ring. A first limiting groove is formed on the top of the inner tube, engaging with the bottom of the borehole elastic retaining ring. An upper connector is threaded to the top of the outer tube, and a lower connector is threaded to the bottom of the outer tube. The drill rod body provided by this utility model reduces wear on the inner and outer tube walls while preventing pressure loss leading to reverse circulation failure. This solves the problems of high-pressure gas escape during drilling causing reverse circulation failure and borehole wall collapse, as well as severe friction and short lifespan of existing wireline coring drill rods.

The invention discloses a high-robustness lossless high-capacity audio watermark embedding method based on deep learning, and relates to the technical field of digital watermarking. The method comprises the following steps of audio-watermark information preprocessing, watermark information embedding and watermark embedding detection and judgment. According to the method, the original audio and the watermark information to be embedded are correspondingly preprocessed, so that the quality of the original audio and the watermark information is effectively improved, the subsequent embedding process is more efficient and accurate, then the preprocessed audio and watermark information are input into the audio embedding network to output the watermark audio, and the watermark embedding efficiency is improved. According to the method, high-capacity watermark information is embedded, audio distortion in the embedding process is effectively avoided, the quality of the embedded audio is guaranteed, finally, the stability and the anti-jamming capability of the embedded watermark can be effectively detected by introducing adversarial training attack simulation, the audio distortion is reduced to the maximum extent while the watermark capacity is guaranteed, and the watermark quality is improved. And the anti-interference capability of the watermark is improved.

The invention belongs to the technical field of image detection, and discloses a packaging box printing quality detection method and system based on image analysis, and the method comprises the steps: obtaining an initial suspected defect region based on the alignment and comparison of a real shot image and a standard template image, and extracting the position and direction information of a physical crease in combination with cutting die file data to define a folding region; local feature displacement parameters are calculated for the suspected defect area which is spatially overlapped with the folding area, and the area with spatial displacement is identified; performing orthogonal decomposition on displacement parameters by utilizing the crease direction, extracting parallel and vertical displacement components, and judging that the difference attribute is printing defect or deformation deviation according to the numerical constraint relation of the two displacement components; and when the deformation deviation exists, executing one-way flattening recheck to generate a detection result. According to the method, classification judgment of physical deformation and printing defects is achieved through orthogonal decomposition, the defects covered by deformation can be detected through flattening and rechecking, false detection is restrained, and meanwhile missing detection is avoided.

The present application relates to the technical field of computer network, and especially relates to a fast forwarding method and system of network data packet of zero-patch kernel integration. The method comprises the following steps: registering a hook function at a key node of data packet processing, obtaining a registration custom processing function, expanding a connection tracking structure in a Linux kernel connection tracking system, and adding a custom field to store a fast forwarding state; constructing a fast NAT connection table; when the data packet reaches the registration custom processing function, calculating a hash value of the data packet, searching for a corresponding connection node in the fast NAT connection table through the hash value; if the valid connection node is found, updating header information of the data packet and sending the data packet to a target interface; otherwise, marking connection tracking information and making the data packet go through a regular Netfilter processing flow. The present application can solve the performance bottleneck problem caused by the dependence of the Netfilter complete flow in the traditional Linux kernel network forwarding scheme.

The application discloses a photovoltaic energy storage integrated collaborative scheduling management system and method, and relates to the technical field of data processing.The system comprises a data acquisition unit, a reserve pool reinforcement learning engine, a causal diagram safety verification engine, a digital twin evaluation engine, an energy storage health management unit, a multi-time scale coordinated control unit and a safe execution unit, and constitutes a closed loop architecture.The reserve pool reinforcement learning generates a candidate strategy;the causal diagram safety verification engine performs forward reasoning checking through a hierarchical causal diagram and a formal specification, and feeds back a structured violation report to modify a value network;the digital twin evaluation engine performs super-real-time deduction and generates a risk evaluation vector;the energy storage health management unit dynamically injects a health weight factor to adaptively adjust a reward function and a safety boundary;and the multi-time scale coordinated control unit realizes day-ahead, intra-day and real-time progressive nested operation.The application realizes safety hard constraints, device health adaptation, multi-time scale collaboration and full-link closed loop control.

The utility model relates to the field of pipeline repair, specifically relates to a plugging air bag for sewer pipeline diving plugging, include: air bag subassembly and respectively connect in two ends not less than one's pull ring, one end of air bag subassembly is detachably connected with radial adjustment type fixing mechanism, radial adjustment type fixing mechanism includes mounting ring and adjusting frame, be connected with a plurality of telescopic locking lever subassembly between mounting ring and adjusting frame, the surface of the outer circumferential surface of mounting ring is provided with a plurality of mounting port, the swing arm subassembly is rotatably connected in mounting port respectively, the utility model discloses through anti -skid strengthening portion and pipeline inner wall form mechanical occlusion and strengthen the friction, at the same time, after radial adjustment type fixing mechanism's swing arm subassembly swings, the arc rubber pad on adjusting gasket piece is from the circumferential direction multiple point and touches pipeline inner wall, further increase friction, the synergies of both, effectively resist the hydrostatic pressure and water flow impact force, prevent air bag sliding.

The invention belongs to the technical field of cleaning, and particularly discloses a turbomachinery cleaning system which comprises an air supply device, a flushing device and a discharging device, the air supply device is used for supplying air to the flushing device, the flushing device is used for flushing a volute and an air inlet, and a gap is reserved between the flushing device and an impeller; the discharging device is used for discharging flushing gas in the volute and the gas inlet box; the flushing device comprises an air inlet flushing unit and a volute flushing unit, the air inlet flushing unit is used for flushing from the inlet direction of the impeller, and the volute flushing unit is used for flushing from the outlet direction of the impeller. According to the impeller cleaning device, it can be guaranteed that when equipment operates normally, adherends on the impeller can be removed, normal work of a system is not affected, maintenance time and cost are saved, and reliability and stability of equipment operation are improved.

The present invention relates to the field of data acquisition and processing, and specifically to a precision data acquisition system based on a multi-parameter sensor, comprising a sensor module, a data acquisition module, a data processing module, a data storage module, a data analysis module, a user interface module and a central control module; the present invention adopts an intelligent perception method based on continuous multi-parameter data to clean the data, performs object detection on the multi-parameter data through an intelligent super-perception model, removes redundant low-precision data, and simultaneously determines the optimal model parameters by fusing multiple parameters, improves the accuracy of redundant data recognition, and improves the data acquisition rate of the multi-parameter sensor by removing low-precision fragment frames, thereby reducing the system calculation cost; the present invention adopts an automatically generated context model to supplement the information of high-precision data and make up for the problem of missing fragment frames, so that the high-precision data set has more integrity, improves the data quality, and retains more effective precision data.

The utility model discloses a kind of Chinese cabbage cleaning machines, it is related to food processing technical field, the utility model includes bubble cleaning machine main part, bubble cleaning machine main part backside side is equipped with speed reducer, bubble cleaning machine main part top side is connected with two symmetrical distribution's bearing seat, speed reducer output end is connected with two bearing seats between framework, framework top is fixed with locating seat, locating seat inside is connected with pressing plate by support shaft.The utility model is equipped with the setting of speed reducer, framework and pressing plate, speed reducer can drive and the framework of bearing seat connection autorotation, and then drive pressing plate tail cover framework center of mass revolution;When pressing plate revolution is in water before, it can be correspondingly rotated clockwise downward with the framework axial center under the action of gravity, the buoyancy of cabbage leaf and bubble rising force are overcome by pressing plate weight, cabbage leaf is pressed into water, so that cabbage leaf upper and lower surface can be fully contacted with bubble and water flow, effectively improve cleaning uniformity;Give consideration to cleaning effect and leaf appearance integrity.