3261results about How to "Guarantee stability" patented technology

The invention discloses a respiratory disease oxygen precise conveying system based on a sensor, and relates to the technical field of medical equipment, and the system comprises a sensing module which integrates multiple sensors to collect and process airway and physiological data of a patient; the disease matching module identifies disease types through database comparison; the dynamic adaptation module calculates exclusive oxygen concentration based on a multi-mode fusion initial algorithm; the conveying module executes adjustment; the closed-loop feedback module continuously fine-tunes the oxygen concentration through a closed-loop stepped fine-tuning algorithm to form a closed-loop link, so that accurate dynamic control of oxygen delivery is realized; according to the invention, multi-sensor collaborative acquisition and disease precise matching are combined with a dynamic algorithm and closed-loop feedback, so that individuation and dynamic oxygen delivery are realized, the system avoids misjudgment by relying on a standardized database, and the oxygen concentration, flow and pressure are ensured to be adjusted in real time along with physiological indexes of a patient through multi-parameter collaborative adjustment and stepped fine adjustment; the treatment comfort, the effectiveness and the long-term adaptability are improved.

The invention discloses a hydrological sequence missing data complementation and trend prediction system and method, and belongs to the technical field of water conservancy information. The system comprises a data acquisition and preprocessing module, a spatial-temporal feature fusion module, a physical constraint completion module, an uncertainty prediction module, a credible evidence storage and verification module and a visual tracing module which are connected in sequence. The method comprises the following steps: collecting and preprocessing multi-source hydrological data; combining the spatial-temporal features through a dual-channel network to generate joint representation; generating and checking a completion sequence based on joint representation and coupling physical constraints such as a unit line method and a Manning formula; performing uncertainty trend prediction by using an integrated predictor; the key data of the whole process are linked and stored, and are automatically verified through an intelligent contract; and full-life-cycle visual tracing is provided. According to the method, the complementation robustness and accuracy in a high-missing-rate scene are effectively improved, the physical consistency of a complementation result is ensured, and credible evidence storage and transparent decision of the whole process are realized.

The invention discloses a data processing method and system of a chromatographic instrument, and relates to the technical field of data processing, and the method comprises the following steps: collecting whole-course original detection signals and external interference signs generated in a chromatographic analysis process, carrying out time alignment under a unified time scale, generating an interference rhythm index, and calculating the interference rhythm index; the reference is used as a unified reference for subsequent signal comparison; and based on the interference rhythm index, performing phase drift comparison on the acquired signal, calculating the phase difference between the detection signal and the interference signal, drawing a beat frequency wandering graph, extracting candidate signal segments of pseudo-period interference according to beat frequency change, and generating a pseudo-period candidate segment list. According to the invention, by establishing the interference rhythm index and comparing the interference rhythm index with the phase drift, the time decoupling of the detection signal and the interference signal is realized, and the sampling anti-interference capability is improved; and through dynamic control of a false peak characteristic fingerprint draft and a misjudgment reason table, signal rhythm correction and peak identification optimization are completed, so that the detection accuracy and the data stability are improved.

The invention discloses a hyperspectral image classification method based on frequency domain denoising and element gradient correction, and the method comprises the following steps: carrying out the preprocessing of all hyperspectral image data, and dividing an overall training sample set formed by the processed hyperspectral images into a training set and a verification set; constructing a sample weighting model based on frequency domain denoising and element gradient correction; in the training process, a parameterization frequency spectrum gating sensing transformation module is utilized to map features to a frequency domain through discrete Fourier transform, a learnable frequency spectrum response function is utilized to adaptively suppress spectrum jitter noise, and finally pure features are reconstructed. And automatically constructing a high-confidence pseudo-clean verification set based on a Gaussian mixture model and time domain consistency. According to the method, a time domain momentum updating mechanism is introduced, the variance of statistical estimation is effectively smoothed, random interference caused by training fluctuation is resisted, and the accuracy of pseudo clean set construction and the convergence stability of overall model training are further improved.

The invention relates to the technical field of medical apparatuses and instruments, and provides a limb traction device which comprises a traction seat used for fixing a limb of a patient and provided with a mounting via hole and a rotating hole, and the rotating hole and the mounting via hole are arranged at an interval and communicate through a mounting window; the basic shaft is arranged in the mounting through hole in a penetrating manner and is provided with a rack extending in the axial direction of the basic shaft; the driving mechanism comprises a rotating shaft rotationally connected into the rotating hole, a driving gear fixed to the rotating shaft and a clutch locking mechanism arranged on the rotating shaft; the driving gear is positioned in the rotating hole and is meshed with the rack through the mounting window; the clutch locking mechanism is matched with the traction seat, has a locking state and an unlocking state, and is provided with a driving end for receiving driving force; in the locking state, the clutch locking mechanism is in limiting fit with the traction seat to limit rotation of the rotating shaft; when the driving end receives driving force, the clutch locking mechanism and the traction seat are separated from limiting fit to be switched to an unlocking state, so that the rotating shaft drives the driving gear to rotate, and the traction seat is driven to slide along the basic shaft.

The invention provides a rainfall monitoring method and system based on unmanned aerial vehicle multi-mode noise reduction in the technical field of environment monitoring and unmanned aerial vehicle application, and the method comprises the steps: S1, collecting a visible light image and a long-wave infrared image through a multispectral vision module after an unmanned aerial vehicle takes off, and collecting a rainfall audio from an acoustic cabin through a microphone; s2, carrying out noise reduction processing on the visible light image, the long-wave infrared image and the rainfall audio; s3, extracting a raindrop size distribution histogram and a spatial density thermodynamic diagram based on the visible light image and the long-wave infrared image, and extracting acoustic MFCC features based on rainfall audio; s4, performing feature fusion operation based on the raindrop size distribution histogram, the visual density thermodynamic diagram and the acoustic MFCC features to obtain rainfall intensity; and S5, carrying out cumulant dynamic compensation based on the rainfall intensity to obtain the cumulative rainfall. The rainfall monitoring method has the advantages that the precision, robustness and practical level of rainfall monitoring are greatly improved.

The application relates to the field of information technology, in particular to an intelligent processing method and system for new media data. The method comprises the following steps: reading historical new media material data; analyzing the historical new media material data, calculating an availability estimation value of the historical new media material, and sorting and screening the historical new media resource according to the availability estimation value; storing the analyzed historical new media material data in a classified manner, and establishing a multidimensional index of the historical new media material data; receiving a new media content generation demand, converting the new media content generation demand into a new media material matching condition; screening and sorting new media materials based on the new media material matching condition, and selecting the first N new media material data as basic new media material data; and fusing a theme content based on the basic new media material, generating multi-form new media content, and realizing intelligent processing of high-efficiency, high-quality and self-optimizable new media content.

The invention relates to the technical field of network acceleration, and discloses an edge-end large language model reasoning acceleration method and accelerator, and the method comprises the following steps: reconstructing a calculation process of a decoding stage, and carrying out the deep fusion of a multi-head attention mechanism and the calculation operation of a feedforward network; the weight and key value data are stored in HBM, and the coefficient and the accumulated attention score are stored in DDR; for linear matrix calculation, a unified matrix calculation unit is used for executing multi-precision matrix operation; for nonlinear function calculation, a mathematical transformation and linear fitting method is adopted, a Softmax function is converted into operation with 2 as the bottom through a bottom conversion formula, and truncation and third-order linear fitting are conducted on a Sigmoid function; and constructing a key value screening algorithm based on the accumulated attention score, dynamically adjusting a key value storage position, maintaining a recent key value cache region and an important key value cache region in a limited cache space, and realizing key value efficient cache in long text reasoning.

The invention belongs to the technical field of pipeline welding, and relates to a pipeline welding operation position deviation real-time monitoring and correcting system and method. The method comprises the following steps: fitting a central axis through a pipe end centering module to calculate a residual error and converting the residual error into a welding gun tool coordinate system to obtain a pose compensation amount; constructing a displacement change track, and screening a low-frequency axis offset coordinate sequence based on a pipeline mechanical motion inertia characteristic setting direction and acceleration constraint condition; and after the space offset is superposed with the compensation amount, a correction instruction is generated through a PID control algorithm. The problems of welding gun shaking caused by high-frequency noise interference in suspended pipeline welding, error accumulation and amplification caused by initial fixed deviation and dynamic deviation mixed compensation, and control overshoot or slow convergence caused by large rigid response difference of pipelines of different specifications are solved. Static residual error pre-compensation and dynamic offset decoupling are achieved, synchronous following of the real displacement trend is ensured, misjudgment interference is effectively avoided, and the stability and trajectory tracking precision of the welding process under the complex working condition are improved.

The embodiment of the invention provides a client verification method and device and electronic equipment, and relates to the technical field of clients, and the method comprises the steps: obtaining a hardware fingerprint of a user terminal in real time under the condition that a verification probe is utilized to monitor a verification trigger event in the operation process of a client; under the condition that the verification trigger event is the first verification trigger event, obtaining a client identifier of the client; sending the hardware fingerprint of the user terminal and the client identifier of the client to a server, so that the server queries a historical binding fingerprint corresponding to the client based on the client identifier of the client, and verifies the hardware fingerprint of the user terminal based on the historical binding fingerprint of the client to obtain a first verification result; and receiving a first verification result fed back by the server. Therefore, the credibility requirements of various scenes on the client can be effectively met.

The utility model relates to a cleaning head and a cleaning device. The first shifting button part is arranged on the spray head body, when the dust cover needs to be taken down, the first shifting button part is shifted, the first shifting button part abuts against the first clamping part, the first clamping part and the second matching part on the dust cover can be disconnected, and the first clamping part and the first matching part are still kept in the connection state; and the handle and the nozzle main body are still in a connection state. Therefore, the handle and the nozzle body do not need to be reconnected after the dust cover is disassembled, the dust cover is directly assembled after being cleaned, the trouble that the handle needs to be reconnected after the dust cover is disassembled from the nozzle body is avoided, the operation process is simplified, the complexity of subsequent operation is reduced, and the disassembly and assembly efficiency is improved. Meanwhile, the handle and the spray head body do not need to be frequently connected after the dust cover is detached, so that the abrasion risk between the handle and the spray head body is remarkably reduced, the service life of the handle and the service life of the spray head body are prolonged, and the use stability and use reliability of the cleaning head are guaranteed.

The invention relates to the technical field of electrical detection, in particular to a multi-stress coupling environment reliability testing method for an electricity consumption information acquisition terminal. Comprising the steps of applying a combined stress field to an electricity utilization information acquisition terminal through an environment test box; acquiring power utilization information acquisition terminal parameters; the method comprises the following steps of: capturing metering pulse response and carrier communication interaction signals of an electricity utilization information acquisition terminal under the excitation of a combined stress field by utilizing an electrical sensor, extracting carrier signal-to-noise ratio data and metering reference drift data, and generating a reference voltage compensation coefficient and an impedance matching threshold value; projecting the carrier signal-to-noise ratio data to an impedance matching threshold value, and constructing a stress failure envelope surface according to a hardware overload protection threshold value; and mapping the communication quality distortion residual vector to a stress failure envelope surface, and calculating a reliability life prediction value. According to the method, a uniform excitation environment is constructed, and performance degradation of different dimensions is uniformly quantified into accumulative stress damage integral, so that the comprehensive anti-interference capability of the terminal in a multi-stress coupling environment can be truly reflected.

The invention relates to the technical field of riverway desilting, in particular to a riverway self-adaptive desilting system and method based on intelligent water level perception, and the method is executed by a central control unit and comprises the four steps of model construction and benchmark calibration, real-time monitoring and siltation diagnosis, precise survey and operation planning and closed-loop execution and model synchronization. The system comprises a central control unit, a water level intelligent sensing array, terrain scanning equipment and dredging machinery, according to the method, the three-dimensional digital riverbed model is constructed, the sedimentation state is dynamically judged in combination with the water level sensing data, an accurate desilting operation scheme is generated, and operation closed-loop control is achieved. According to the method, navigation and ecological riverway dredging requirements are considered, the dredging precision and automation level are improved, the operation cost is reduced, intelligent transformation of riverway management is promoted, and an efficient solution is provided for long-acting treatment of the riverway.

The invention discloses an image fusion method based on a double-branch feature decoupling auto-encoder, and belongs to the field of computer vision and image processing. According to the method, for the problems of modal pollution and structural distortion in infrared and visible light image fusion, structural semantic information and high-frequency texture details of a source image are extracted respectively by constructing a content feature coding module and a detail feature coding module, and feature decoupling is achieved. And performing deep fusion on the decoupled features by using an adaptive feature weighting mechanism, and reconstructing a fused image with infrared target saliency and visible light detail definition through a shared decoder. According to the method, an end-to-end two-stage training strategy is adopted for optimization, complex prior or post-processing is not needed, the effects of improving the fused image contrast, edge preservation and target recognition performance are remarkable, and the method is suitable for the fields of weak light monitoring, intelligent perception, unmanned system navigation and the like.

The invention discloses a multi-delivery robot path collaborative optimization system and a scheduling method, and aims to solve the problems of non-uniform scheduling load, unsmooth path, weak conflict avoidance capability and poor dynamic adaptability of existing multi-robot scheduling. The system comprises a central scheduling module, a distribution robot terminal, an environment sensing module and a map management module, and realizes task analysis, state monitoring, path planning and conflict coordination. According to the method, region division and task balanced distribution are completed by improving a DARP algorithm, path coverage efficiency and smoothness are optimized by fusing a BA * algorithm, a cattle farming method and a TEB algorithm, multi-type path conflicts are solved by adopting a time window reservation and distributed negotiation strategy, and dynamic adjustment under new task access, robot faults and environment sudden change is supported. According to the method, the load balance, the path optimization effect and the conflict avoidance capability of multi-robot collaborative distribution can be remarkably improved, the efficient and stable execution of the distribution task is ensured, and the method is suitable for terminal distribution scenes such as communities and office buildings.

The utility model provides an electronic paper point screen crimping device which comprises at least one group of crimping modules and specifically comprises a driving module which comprises an X-direction driving mechanism and a Y-direction driving mechanism, and the Y-direction driving mechanism is arranged on the X-direction driving mechanism; the crimping module is installed on the Y-direction driving mechanism and comprises an opening-closing type driving mechanism, an upper crimping assembly and a lower crimping assembly, the upper crimping assembly and the lower crimping assembly are symmetrically arranged in the vertical direction, and the opening-closing type driving mechanism drives the upper crimping assembly and the lower crimping assembly to move oppositely or reversely; each of the upper crimping assembly and the lower crimping assembly comprises a fixed part, a floating part and a buffer structure connected with the fixed part, a probe is arranged in the fixed part, and the floating part is provided with a through hole for the probe to pass through; when the distance L1 between the upper crimping assembly and the lower crimping assembly is reduced to L2, the floating part pre-flattens the crimping end of the to-be-crimped product and completes correction and alignment; the buffer structure deforms, so that the floating part stops moving and the fixed part continuously moves until the upper probe and the lower probe are in contact with the surface of the product; and the visual unit is arranged above the crimping module. And the crimping precision and accuracy are improved.

The invention relates to the field of numerical control machining and computer-aided manufacturing software, and particularly discloses a honeycomb core six-axis ultrasonic cutting track digital control and interpolation optimization system which comprises a track preprocessing module, a parameterized spline interpolation module, a six-axis linkage inverse solution module, a dynamic feed-forward compensation module, an ultrasonic energy adaptive control module and a multi-source information fusion and decision module. By the adoption of the technical scheme, smooth and efficient interpolation of a track, dynamic feed-forward compensation of motion errors and self-adaptive adjustment of cutting energy can be achieved, and therefore the machining precision, the surface quality and the system stability are improved. According to the invention, ultrasonic energy control is originally incorporated into an overall trajectory control closed loop, and real-time accurate regulation and control of cutting energy are realized through the ultrasonic energy adaptive control module. The module is based on force, amplitude, temperature and other multi-sensor information, adopts fuzzy reasoning to intelligently decide output power, and ensures that cutting energy is constant and optimal under different processing conditions.

The utility model provides a crimping module, comprising an opening and closing type driving mechanism which comprises a first driving end and a second driving end, and the first driving end and the second driving end are configured to synchronously drive so as to move towards each other or in opposite directions; the upper crimping assembly and the lower crimping assembly are symmetrically arranged in the vertical direction and are respectively mounted on the first driving end and the second driving end, each of the upper crimping assembly and the lower crimping assembly comprises a fixed part, a floating part and a buffer structure connected with the fixed part and the floating part, a probe is arranged in the fixed part, and the floating part is provided with a through hole for the probe to pass through; when the upper floating part and the lower floating part are in contact with the product to be crimped, compression continues to enable the buffer structure to generate elastic deformation, the floating parts stop moving, and the fixing part continues moving until the upper probe and the lower probe penetrate through the through holes to be in contact with the surface of the product. Through the innovative design of the fixing part, the floating part and the buffer structure, the electronic paper can be pre-flattened before crimping operation, so that the problem of inaccurate crimping alignment caused by bending and warping of the electronic paper is effectively solved.

The invention provides a container capacity expansion method, system and device, belongs to the technical field of data processing, and aims to achieve container dynamic resource management.The method comprises the steps that running state data of all containers in a target container cluster are collected in real time; constructing a service calling relation graph according to the running state data; wherein the service calling relation graph is a directed acyclic graph, each node in the graph represents a micro-service, each edge in the graph represents a calling relation from the current node to the next node, and the weight of each edge represents service processing time delay; when a preset capacity expansion condition is met, executing a critical path algorithm according to the service calling relation graph, identifying to obtain a critical path, calculating the priority of each node in the critical path, and determining a to-be-expanded container according to the priority; determining an expansion strategy according to the state of the container to be expanded; and according to the capacity expansion strategy, carrying out capacity expansion on the container to be subjected to capacity expansion.

The invention relates to the technical field of waste resource recycling and automatic processing, and discloses a waste household appliance disassembling process parameter adaptive control method and system, and the method comprises the steps: carrying out the registration fusion of multi-view surface data, and obtaining a complete point cloud model; identifying a high-deformation area based on curvature features and fitting cutting reference surface parameters; performing smooth adjustment on the reference plane parameters according to the pose difference of the adjacent areas to obtain a coordinated reference plane set; generating an initial compensation vector in combination with the discrete points of the cutting path, and correcting direction mutation to obtain a preliminary compensation instruction; and real-time cutting feedback data are collected in the disassembling process, if the machining state is abnormal, the compensation vector of the follow-up path is corrected, and a target self-adaptive control instruction is obtained. According to the invention, self-adaptive precise cutting of waste household appliance parts with complex deformation and uneven material characteristics can be realized.

The invention belongs to the field of aerospace sensors, and discloses an intelligent wide-range pressure measurement system and method for an aero-engine. The system comprises a pressure acquisition module which comprises at least two pressure sensors with different measuring ranges and overlapped measuring intervals, and an electromagnetic valve group used for switching gas circuits of the pressure sensors; the intelligent control module communicates with an engine FADEC to obtain real-time working condition parameters, predicts the pressure change trend in combination with a pre-stored pneumatic model, switches gas circuits in advance before the pressure reaches a range critical point, triggers a special collection mode to lock an adaptive sensor under a transient working condition, and collects data at the highest sampling rate. The measurement method comprises the steps of working condition parameter acquisition, pressure trend prediction, advanced range switching and self-diagnosis calibration, and through multi-sensor data comparison under environment pressure or stable working conditions, temperature drift errors are dynamically compensated, and faults of the sensors and transmission pipelines are accurately diagnosed. According to the scheme, the problems of switching delay, data distortion, sensor precision drift and difficulty in fault discovery of a traditional system are effectively solved, high precision and stability of full-range pressure measurement are guaranteed, and reliable support is provided for precise regulation and control and flight safety of an aero-engine.

The invention provides a ground laser positioning mountainous area multi-machine lifting cooperative control method and system, and relates to the technical field of cooperative control, and the method comprises the steps: 1, calculating a first real-time pose of an aircraft through a laser positioning signal transmitted by a laser positioning base station; according to the image data of the three optical identification points, calculating spatial three-dimensional coordinates of the three optical identification points to define a spatial geometric curved surface patch, and decomposing the curved surface patch into a strong signal manifold and a weak signal homotopy group; 2, taking the optical identification point of the central point of the upper edge of the front end surface of the load structure as a spatial reference origin, and connecting the two optical identification points of the left vertex and the right vertex of the lower edge of the rear end surface to form a first spatial vector and a second spatial vector; through laser positioning signal partitioning, load pose multi-source fusion optimization and dynamic compensation control of the Lyapunov potential function, the method adapts to signal shielding and attenuation scenes of mountainous complex terrains, inhibits load swing, reduces the risk of obstacle scraping and collision, and improves the safety of multi-machine lifting.

The invention discloses an astragaloside synergistic type composition as well as a preparation method and application of the astragaloside synergistic type composition. Comprising the following components: 8 to 16 parts of astragaloside, 20 to 40 parts of a honeysuckle flower extract, 10 to 20 parts of L-carnitine, 0.1 to 0.5 part of selenium yeast, 3 to 8 parts of diammonium glycyrrhizinate, 5 to 15 parts of taurine, 8 to 20 parts of a fructus forsythiae extract, 2 to 7 parts of vitamin E, 12 to 32 parts of hydroxypropyl-beta-cyclodextrin, 2 to 10.5 parts of maltodextrin, 1 to 7 parts of Arabic gum, 10 to 20 parts of lactose, 1 to 3 parts of zinc gluconate and 2 to 5 parts of magnesium stearate. 1-3 parts of vitamin C, 1-5 parts of xanthan gum and 1-3 parts of lecithin. The composition has a wide application prospect in preparation of veterinary drugs or veterinary food additives.

The invention discloses a shift change information intelligent complementation and error early warning system based on a large language model, which belongs to the technical field of medical information processing and comprises a terminal acquisition module, an intelligent distribution complementation module and an early warning control module. Structure and semantic fingerprints are generated for the data table, a shift exchange asset meta model is constructed through fusion similarity clustering merging, and a semantic enhancement model is generated in combination with medical shift exchange specifications to complete information field completion; the intelligent distribution and completion module configures an optimal path with the minimum comprehensive overhead for the acquisition module by relying on a regional dynamic shift information network formed by double sub-networks; the early warning control module is combined with a large language model semantic analysis and rule engine, monitors an acquisition track and identifies information abnormity to execute error early warning, and an early warning result is fed back to the intelligent distribution complementation module, so that dynamic adjustment of an optimal path is realized, and the integrity, accuracy and acquisition efficiency of medical shift information are improved.

The application provides a focusing motor and a camera module. The focusing motor comprises a fixed part, a moving part, a focusing assembly, a magnetic attraction sensing part, a guide part and a position sensor. The fixed part comprises a first support arm and a second support arm connected with each other, and a light passage hole formed between the first support arm and the second support arm. The moving part is arranged in the light passage hole and can move in a preset direction. The magnetic attraction sensing part is arranged in the moving part. The angle between the magnetization direction of the magnetic attraction sensing part and the first direction and the second direction perpendicular to the preset direction is an acute angle. The guide part is arranged on the first support arm and corresponds to the magnetic attraction sensing part. The position sensor is arranged on the second support arm and corresponds to the magnetic attraction sensing part. The position sensor can generate an induction force with the magnetic attraction sensing part, so that the position sensor can sense the moving position of the moving part. The focusing motor can significantly reduce the size of the focusing motor, and can guarantee the guiding stability and the position detection precision required by the automatic focusing function while realizing the miniaturization of the camera module.

This utility model discloses a dough proofing and feeding device. The feeding machine includes a feeding frame, within which two parallel first chain drive mechanisms are arranged. A plurality of evenly distributed feeding bowls are rotatably arranged between the two first chain drive mechanisms along their transmission direction. A locking structure is provided between adjacent feeding bowls. On the lower straight section of the chain of the first chain drive mechanism, the feeding bowls can maintain their position from rotation through the locking structure. The feeding frame is provided with a discharge support structure that enables the entire set of feeding bowls to flip as it moves on the upper straight section of the chain. A second motor drives the first chain drive mechanism, causing the feeding bowls to move cyclically, achieving continuous and efficient material conveying and improving feeding efficiency. Utilizing the cooperation of the discharge support guide rail, discharge notch, and rollers, the feeding bowls can be precisely controlled to flip and unload at specific positions, making the unloading process accurate and controllable.

This utility model relates to the field of material pressing equipment technology and discloses a user-friendly material pressing machine, including a frame, a material barrel fixed on one side of the frame, a pressure plate inside the material barrel, and several first and second sealing rings installed on the outer side of the pressure plate through grooves. The first and second sealing rings are used to seal the gap between the material barrel and the pressure plate. A connecting plate is fixed on the top of the material barrel, and two cover plates are hinged to the top of the connecting plate. A hydraulic cylinder is provided on the top of the cover plate. The push rod of the hydraulic cylinder moves downward, thereby driving the pressure plate to move downward inside the material barrel to apply uniform pressure to the material, so that the material is effectively squeezed. Several first and second sealing rings are installed on the outer side of the pressure plate through grooves. The multiple sealing rings form a reliable high-pressure sealing barrier to ensure that the medium does not leak under high pressure, ensuring the sealing safety of the equipment in high-pressure, high-viscosity, and high-frequency operation scenarios, and enabling the equipment to operate stably under various complex and harsh working conditions.

The utility model relates to fan transmission system technical field, and disclose a kind of assembly impeller, including impeller and main shaft, the detachable connection between the impeller and main shaft, at least two symmetrical distribution's protruding tooth is processed in the main shaft end face;The recess matched with the protruding tooth is opened in the impeller body end face, and torque is transferred by the side surface contact of the protruding tooth and recess;The utility model is matched by protruding tooth and recess, and contact area is big, can effectively disperse torque, reduce local stress concentration;Symmetrical distribution's protruding tooth makes stress more balanced, avoids the local failure caused by structural deviation.

The present application relates to the technical field of conductive trolley, in particular to a lifting type graphitization inner string furnace conductive trolley, which comprises a liftable frame, and further comprises a sliding mechanism, a sliding support part and a compensation mechanism, the compensation mechanism is provided with at least two, and two are arranged oppositely, one end of the compensation mechanism is connected with the sliding mechanism, and the other end is connected with a pressure regulating part. The liftable frame is arranged, so that the conductive trolley can be flexibly adjusted according to the actual height of the furnace head electrode, precise butt joint with electrodes of different heights can be completed without the help of external lifting equipment, and the convenience and adaptability of furnace charging and furnace discharging operation are improved. Through the cooperation of the pressure regulating part and the compensation mechanism, the spring pre-tightening force can be adjusted online, the push plate is driven to move and extrude the spring, the spring increases the pre-tightening force, so that the compensation mechanism can always provide stable and reliable compensation effect for the electrode, and the stability and reliability of electrode conduction are ensured.