32results about How to "Reduce fit error" patented technology

The invention provides a tunnel section identification and deformation detection method based on laser scanning point cloud data, and the method comprises the steps: directly processing the point cloud data in a three-dimensional space through polar coordinate conversion and local calculation weighted average modes to extract a central axis, so as to completely reserve the three-dimensional information of the point cloud data, and more accurately reflect the real spatial form of a tunnel. The problem that geometric feature information of the top and the bottom of the tunnel is lost due to projection is avoided. Tunnel section interception and section point cloud data determination are carried out on the basis, global and local deformation discrimination is carried out in combination with adaptive shape fitting, tunnel section deformation is accurately monitored and discriminated, possible tiny deformation of a tunnel in a local area can be sensitively captured, and even under the condition that overall deformation is not obvious, the tunnel section deformation can be accurately monitored and discriminated. Potential safety hazards can be found in advance, all-around and precise monitoring and judgment of tunnel section deformation are achieved, and powerful technical support is provided for long-term safe operation of a tunnel.

The invention provides a weighing method of an electric loader, a vehicle control unit and the electric loader, and relates to the technical field of electric loaders. The method comprises the steps that in response to a movable arm lifting signal, weighing parameters in a preset sampling range when an object to be weighed is lifted are obtained, and the weighing parameters comprise the average main valve pressure, the handle opening degree, the hydraulic oil temperature and the gradient; whether the electric loader starts automatic weighing or not is determined; if automatic weighing is not started, the initial mass of the object to be weighed is obtained according to the average main valve pressure, the handle opening degree and a preset first weighing fitting relational expression; if automatic weighing is started, the initial mass of the object to be weighed is obtained according to the average main valve pressure and a preset second weighing fitting relational expression; and compensating the initial mass of the to-be-weighed object according to the hydraulic oil temperature and the gradient, and obtaining and outputting the target mass of the to-be-weighed object. According to the method, the dynamic weighing precision of the electric loader can be improved on the basis that the equipment cost is not increased.

The present application relates to the field of data compression technology, and in particular to a method and system for optimizing storage of control terminal data, the method comprising: performing polynomial fitting on the data to be stored to obtain a fitting error; in response to the fitting error being less than an error threshold, storing the fitting polynomial and completing the storage of the data to be stored, otherwise, calculating the concentration of abnormal residual values; in response to the concentration being less than the concentration threshold, storing the fitting polynomial, abnormal residual values ​​and their timestamps, and completing the storage of the data to be stored; in response to the concentration being not less than the concentration threshold, storing the fitting polynomial and the residual value sequence within the abnormal time period. Through the technical solution of the present application, according to the distribution of the fitting error and abnormal residual values ​​in the polynomial fitting process, the storage strategy can be flexibly selected to effectively optimize the use of storage space, thereby improving storage efficiency.

The present application relates to an image detection method, a computer device and a machine-readable storage medium. The image detection method first performs edge detection on a target image to obtain an initial edge signal region composed of multiple connected gradient change extreme value regions, then selects a target edge signal region from the initial edge signal region based on a predetermined rule, and fits the target edge signal region to obtain a target arc in the target image. The present application selects a target edge signal in the initial edge signal region, and the target edge signal region has a certain width. In the arc fitting process, the gradient change extreme value regions within a certain range can be regarded as the arc of the same circle. In this way, not only the amount of calculation is reduced, but also the arc fitting error can be reduced, thereby improving the accuracy of arc detection.

The utility model provides a smoke exhaust pipe plug assembling device which comprises a first conveying mechanism used for conveying smoke exhaust pipe ends to be assembled, the conveyed smoke exhaust pipe ends are in a vertical state, and the ends, used for assembling, of the smoke exhaust pipe ends face upwards; the arc-shaped clamping plates are arranged at the tail end of the conveying direction of the first conveying mechanism, are movably arranged in the direction perpendicular to the conveying direction of the first conveying mechanism and are used for clamping the conveyed smoke exhaust pipe end from the two sides; the second conveying mechanism is arranged above the first conveying mechanism and used for conveying the plugs to be assembled; the guide cylinder is connected to the tail end of the second conveying mechanism, located above the arc-shaped clamping plate and used for bearing the conveyed plugs and guiding the plugs to the upper end of the end, clamped by the arc-shaped clamping plate, of the smoke exhaust pipe. And the lower pressing block is arranged above the guide cylinder and is movably arranged in the vertical direction. According to the device, the plugs conveyed in sequence can be automatically assembled to the ends of the smoke exhaust pipes conveyed in sequence, the matching efficiency is improved, the matching error is reduced, and the manual participation degree is reduced.

The invention discloses a method for measuring a magnetic field of an inertial measurement system, which realizes accurate reconstruction of a global magnetic field vector field by planning a discrete point test layout, synchronously acquiring multi-dimensional data and constructing a magnetic field vector fitting model. The method comprises the steps of test area division and discrete point layout, multi-source data synchronous acquisition, data preprocessing and abnormal value elimination, global magnetic field vector field fitting modeling, and fitting result verification and optimization. According to the method, a discrete point layering layout strategy is adopted, a multivariable fitting algorithm is combined, magnetic field space change characteristics can be effectively captured, global magnetic field vector field fitting errors are controlled, and the method is suitable for inertial measurement system magnetic field performance detection and optimization design and has the advantages of being high in measurement speed, high in representation precision and high in practicability.

The application discloses a photovoltaic power medium and long-term prediction method and system based on frequency domain driving, and belongs to the technical field of photovoltaic power prediction. The technical problem to be solved is that the existing method has poor modeling ability for multi-scale seasonality of photovoltaic power sequence, poor adaptability to complex climate, and large calculation overhead of high-precision model, which is difficult to be actually deployed. The technical solution points are as follows: obtaining historical power time series data of a photovoltaic power station; performing fast Fourier transform on the historical power time series data to obtain a seasonal sequence and a trend sequence; sequentially performing embedding processing, downsampling, fast Fourier transform, learnable frequency weight adjustment, inverse Fourier transform and linear mapping on the seasonal sequence to obtain a seasonal prediction result; inputting the trend sequence into a linear prediction model to obtain a trend prediction result; and summing the two to obtain a photovoltaic power medium and long-term prediction value.

The utility model provides a sand mold for a vacuum pump shell casting. The sand mold for the vacuum pump shell casting comprises a sand core integrally formed through 3D printing, the interior of the sand core is hollow, the positions, close to the two ends, of the sand core are sealed, through holes are formed in the sealing positions of the sand core, and the through holes in the two ends of the sand core are located on the same line in a one-to-one correspondence mode; the two ends of the core bar are located outside the sealing position of the sand core and connected with limiting workpieces. According to the utility model, the original split type sand core combination mode is changed into the 3D printing integral sand core, so that the combination is not needed, and the matching error is reduced; the surface precision of the 3D printing sand core is higher than that of a resin sand molding sand core, and the smoothness of the inner surface of the shell can be greatly guaranteed; the interior of the sand core is of a hollow structure, use of sand is reduced, cost is reduced, and meanwhile the core bars are added in the sand core for supporting, so that the sand core is not prone to damage.

The utility model relates to a projector which comprises a shell, an optical machine assembly and an external lens. The shell is provided with a containing cavity and an opening, and the opening is used for communicating the containing cavity with the external space of the shell. And the ray machine assembly is arranged in the accommodating cavity and comprises a ray machine lens. One end of the external lens penetrates through the opening, is matched with the ray machine lens shaft hole and is used for being matched with the ray machine lens to carry out image projection; the external lens is detachably installed on the ray machine assembly.

The utility model relates to the technical field of game rockers, and discloses a Hall electromagnetic rocker, which comprises a shell provided with a rotating hole; the shaking assembly comprises a shaking unit and a linkage unit, one end of the shaking unit protrudes out of the shell, the other end of the shaking unit penetrates through the rotating hole to be arranged in the shell, the other end of the shaking unit is connected with the linkage unit, a containing structure is arranged on the linkage unit, a magnetic part is installed in the containing structure, and the magnetic part and the linkage unit are relatively fixed; and the circuit board is connected with the shell and is provided with a Hall angle sensor opposite to the magnetic part, so that when the shaking unit drives the linkage unit to swing, the Hall angle sensor and the magnetic part generate induction, and a signal is transmitted to the circuit board. The magnetic parts are integrated on the linkage units, interference between linkage mechanisms is weakened, signal transmission is more accurate and reliable, the linkage mechanisms are effectively simplified by deleting a slider structure, the overall structure is simpler, and practicability is improved.

This invention relates to the field of spring clip molding technology, and particularly to a spring clip molding mold and process based on long carbon fiber reinforcement. The mold includes an upper pressure plate, a lower pressure plate, and an upper pressure head. An upper mold cavity seat, a middle transition body, and a bottom support leg are vertically arranged between the upper and lower pressure plates. A push rod is provided on the inner side of the bottom support leg. A cylindrical mold cavity hole is provided inside the upper mold cavity seat, and two L-shaped side sliders and a central core assembly are arranged inside the cylindrical mold cavity hole. The process steps include: mixing long carbon fibers with a thermoplastic matrix, heating to obtain a melt, transferring the melt into a mold, closing the mold and applying pressure, and obtaining a hollow cylindrical blank after holding pressure and cooling. The hollow cylindrical blank is then cut and machined. This invention eliminates the prepreg preparation process, resulting in a shorter process flow, higher production efficiency, better uniformity of spring clip dimensions, continuous and intact fibers in the groove area, and significantly improved mechanical properties.

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 LED long afterglow composite light-emitting lens comprises a lens body structure (1) and a long afterglow light-emitting molding (2). The lens body structure (1) comprises at least a light distribution optical main body part (11). The lens body structure (1) is provided with a receiving groove (1B) or a fitting structure (1D). The bottom center part of the lens body structure (1) is recessed inward to form a central receiving cavity (1A). The long afterglow light-emitting molding (2) is combined with the lens body structure (1) through the receiving groove (1B) or the fitting structure (1D). The combination surface is provided with a transparent light-guiding medium (3) to form a light-guiding coupling surface (1e). The universal light-emitting lens structure can be applied to LED long afterglow light-emitting moldings of various types and specifications, and can be combined with LEDs to form various light-emitting devices. The structure can adjust the light energy distribution ratio, distribute the light of the emitted light field, and play a light coupling role with the long afterglow light-emitting molding (2). While retaining the advantages of afterglow light, at least part of the emitted light of the LED light-emitting molding can be emitted according to the light path design.

The invention discloses a method for coding a laser radar point cloud in unmanned driving, which comprises the following steps of: firstly, dividing the point cloud into an intra-frame point cloud and an inter-frame point cloud, removing point cloud data space redundancy by adopting a clustering-based intra-frame prediction technology aiming at the intra-frame point cloud, and predicting the inter-frame point cloud based on the point cloud prediction technology aiming at the inter-frame point cloud; and the point cloud data time redundancy is removed. And the residual data is coded, so that the point cloud compression rate is improved.

The invention relates to the technical field of silicon wafer detection, and discloses a silicon wafer multi-defect decoupling weighted fitting method and device and a storage medium, and the method comprises the steps: S1, obtaining original point cloud data, S2, calculating a gradient G and a local variance Var (z), recognizing a defect dominant type, S3, stripping defects and noise through a multi-defect coupling model, and obtaining a real surface type point cloud; according to the method, the problems of defect confusion and non-uniform global precision of a traditional technology are solved, self-adaptive adaptation of different defect scenes is realized, manual intervention is not needed, the fitting precision of r, k and Sq is greatly improved, the detection error of a multi-defect superposition scene is controlled, and the detection accuracy of the multi-defect superposition scene is improved. The detection efficiency is guaranteed, and the industrial mass production requirement is met.

The invention relates to a data-driven load frequency control method for a power system containing a network-forming converter. The method comprises the following steps: firstly, according to a power system topology, constructing a time-delay nonlinear load frequency control model containing a network construction type converter; taking the model as an environment, simulating operation acquisition data by using a PID controller, and constructing a pre-training data set; then, an agent of an actor-commentator framework is constructed, and offline pre-training is completed through a data set; and finally, accessing the intelligent agent into a system for online interaction, outputting a frequency modulation instruction by an action network, and iteratively updating parameters by combining an award and a loss function to realize self-adaptive control. Compared with the prior art, the method has the advantages of being adaptive to the dynamic characteristics of the GFM, efficient, high in robustness and the like.

According to the building energy consumption prediction method and system based on multi-frequency characteristic decomposition and double-branch modeling provided by the invention, a complete ensemble empirical mode decomposition (CEEMDAN) adaptive noise algorithm is introduced to perform multi-scale decomposition on a building energy consumption signal, so that the decomposability and the signal stability of an original energy consumption sequence are greatly improved. The CEEMDAN decomposition mechanism ensures that different frequency components are effectively distinguished before modeling, and the problems of mode aliasing and feature distortion caused by direct modeling of non-stationary signals are avoided. And through an adaptive grouping strategy based on variance entropy, the decomposed signals are automatically classified and reconstructed, so that high-frequency disturbance and low-frequency trend can be modeled in a targeted manner, and the feature expression ability and generalization performance of the model are further improved.

The invention relates to the technical field of optical fiber ultrasonic sensing, and discloses an optical fiber ultrasonic sensor demodulation system based on LMM-EF. The demodulation system jointly uses a broadband light source and a dense wavelength division multiplexer to realize wavelength division multiplexing of two paths of narrowband optical signals, optimizes an ellipse fitting process through a Levenberg-Marquardt method, introduces an N-order unit matrix I and a damping coefficient alpha, updates the value of alpha according to the approximation degree of a Jacobian matrix and an elliptic equation, and finally achieves the purpose of narrowband optical signal demodulation. And the stability of the second derivative is improved to greatly reduce the occurrence of ill-conditioned problems in the fitting process, so that the fitting iteration mode is between the Newton method and the gradient descent method. Ellipse fitting of Lissajous figures of two interference signals is realized by minimizing the sum of squares of errors between data points and functions, the fitting precision of an ellipse fitting algorithm to short arc signals is improved, and the problem that a traditional dual-wavelength demodulation system based on the ellipse fitting algorithm is not suitable for weak sound signal solution is solved. And the detection range of the optical fiber F-P ultrasonic sensing technology is expanded.

This application provides a weighing method, a vehicle controller, and an electric loader, relating to the field of electric loader technology. The method responds to a boom lifting signal, acquires weighing parameters within a preset sampling range when lifting the object to be weighed, including average main valve pressure, handle opening, hydraulic oil temperature, and slope; determines whether the electric loader has automatic weighing enabled; if automatic weighing is not enabled, the initial mass of the object to be weighed is obtained based on the average main valve pressure, handle opening, and a preset first weighing fitting formula; if automatic weighing is enabled, the initial mass of the object to be weighed is obtained based on the average main valve pressure and a preset second weighing fitting formula; and compensates for the initial mass of the object to be weighed based on the hydraulic oil temperature and slope to obtain and output the target mass of the object. This method can improve the accuracy of dynamic weighing of the electric loader without increasing equipment costs.

This invention discloses a large-format split-type laser cutting machine bed connection structure and assembly method, including a movable crossbeam, with a laser cutting machine bed located below both ends of the movable crossbeam. The laser cutting machine bed includes a first bed, a second bed at one end of the first bed, and connecting plates on both sides of the adjacent ends of the first and second beds. First pin grooves are provided on both sides of the joint of the connecting plates, and first pin keys are provided within the first pin grooves. Second pin grooves are provided on the adjacent upper surfaces of the first and second beds. This invention moves the bed through the cooperation of nuts and screws, which is safer and more stable, saving manpower. The cooperation of guide columns and guide holes can accurately position the connection between the two beds, reducing cooperation errors and improving cooperation accuracy. The first and second pin keys are adjusted in size through grinding, so that the pin keys and pin grooves fit tightly, which can limit the position of the two beds, preventing processing vibration from affecting the bed and improving processing accuracy.

The application discloses a parameterized human body model reconstruction method based on a Chinese database, three-dimensional human body grid data of multiple female naked bodies of different ages, body types and heights are collected to establish a database; point clouds are learned based on BPS, SMPL model grid points are respectively roughly registered to the vicinity of each three-dimensional human body grid point to generate corresponding rough registration models; then, a non-rigid grid registration algorithm based on an ICP algorithm is used to finely register each rough registration model to generate corresponding SMPLD models; each SMPLD model is corrected in a standard standing posture, and then PCA principal component analysis is performed on each SMPLD model after the standing posture correction, a plurality of principal component proportions obtained are used as body parameters of a parameterized human body model adapted to Chinese body shapes, original posture parameters of the SMPL model are used as posture parameters of the parameterized human body model adapted to Chinese body shapes, and a final parameterized human body model is constructed.

The application discloses a radar single-pulse angle discrimination curve fitting method based on cost sensitivity weighting, which comprises the following steps: 1, measuring sum-difference beam patterns of multiple wave positions in a microwave darkroom or an ideal field environment, and extracting original measurement values of angle discrimination curves in an angle range of interest; 2, constructing a measurement value combination for joint fitting of the angle discrimination function of multiple wave positions; 3, constructing a polynomial fitting optimization problem based on a least square criterion; 4, designing a cost sensitivity function and related parameters according to actual application requirements, and further correcting the cost function; 5, calculating intermediate variables and solving fitting coefficients; and 6, in a radar actual working project, on-line single-pulse angle measurement is completed based on the angle discrimination function obtained through fitting. Through simple parameter setting, the fitting accuracy of targets near the beam pointing direction and targets far away from the beam pointing direction can be flexibly adjusted according to actual application requirements.

The application discloses a method and device for calculating nominal electric field of direct current transmission based on a firefly algorithm, and relates to the technical field of high-voltage engineering and computational electromagnetics. The method comprises the following steps: obtaining transmission line parameters, setting the number of simulation electric charges, the number and coordinates of matching points and verification points for each conductor, and calling a preset simulation electric charge method calculation framework to solve simulation electric charge quantity vectors and target functions; encoding all simulation electric charge coordinates into optimization variables, randomly generating an initial population and calculating brightness through the firefly algorithm, iteratively optimizing simulation electric charge positions, and finally obtaining a terminal generation optimal simulation electric charge position vector, which is substituted into the calculation framework to calculate a terminal generation optimal simulation electric charge quantity vector, and then the ground nominal electric field is solved. The optimal position of the simulation electric charge is searched through the firefly algorithm, the calculation precision of the ground electric field of the direct current transmission line is improved, and reliable technical support is provided for the ground nominal electric field evaluation under the static electric field condition of the direct current transmission line.

The application relates to the technical field of water level prediction, and particularly discloses a basin water level prediction system and method for complex terrains, wherein the method is characterized in that: a feature screening algorithm is used to screen a preliminary model feature set, and effective features which have a significant influence on the transit of a flood peak and the risk of backflow are reserved; the effective features are scientifically divided into a training set and a test set; the training set is used to enable the model to fully learn the mapping relationship between the buffer state of a buffer confluence unit, the flood discharge, the movement of the flood peak and the change of the confluence water level under complex terrains; and the fusion of hydrological data and topographic image data covers key influence factors in the time and space dimensions on the data level; the water flow lagging effect is captured through an upstream water level lagging feature set on the feature level; the discharge position is accurately positioned in combination with the discharge channel and the buffer state of the buffer confluence unit; and the transit path of the flood peak and the peak water level are simulated, so that the accurate simulation of the transit of the flood peak in the complex terrain and the reliable prediction of the backflow risk can be realized.

According to the method for measuring the scale coefficient and the electronic relaxation rate of the atomic spin inertial measurement device, the scale coefficient refers to an angular velocity scale coefficient, first-order approximation and second-order approximation of an output signal relative to a Z-direction magnetic field are measured, and the electronic relaxation rate of the atomic spin inertial measurement device is measured according to linear relations between the first-order approximation and the second-order approximation and between a Y-direction magnetic field and an X-direction magnetic field. The slopes of the two have a relationship with the scale coefficient and the electronic relaxation rate, and the scale coefficient and the electronic relaxation rate are calculated. The method is reasonable, the experimental operation is simple, the method is suitable for an atomic spin inertial measurement device based on an alkali metal electron spin and inert gas nuclear spin coupling ensemble, the scale coefficient and the electron relaxation rate can be accurately measured in real time, and a basis is provided for development of a high-precision atomic spin inertial measurement device.

The present invention relates to the field of data processing technology, and in particular to a data analysis method for monitoring hidden dangers of distribution network cables. The method constructs a scatter plot according to cable sheath circulation values ​​in a historical period; constructs a sliding window in the scatter plot, obtains the complexity according to the density of data points in the sliding window, adjusts the length of the sliding window according to the complexity and the difference between every two data points in the sliding window, and obtains a final fitting window; repeats the step of obtaining the final fitting window according to the sliding step length until the final fitting window contains data at the last sampling moment in the scatter plot; fits the data points in each final fitting window to obtain a final fitting value, obtains the abnormality of the real-time cable sheath circulation value according to the real-time cable sheath circulation value and the final fitting value, and gives an early warning to the cable according to the abnormality, thereby improving the accuracy of hidden danger monitoring of the cable.

The application discloses a kind of power transmission methods and mechanism of boxing machine, it is related to the technical field of boxing machine, by the design of independent main shaft centralized for each system energy supply, replace the independent power source and the diversified power transmission mode of each system in the prior art, realize the power synchronous transmission of boxing machine feeding, pushing material, opening box, instruction manual folding and throwing, sealing box output whole process, cancel each system independent power source, greatly reduce the use of motor, speed reducer and other power components, simplify the overall transmission structure of boxing machine, reduce the early manufacturing cost and processing technology requirement of equipment, and also reduce the matching error and fault point between components, ensure the stability and reliability of power transmission, equipment can long time continuous stable operation, reduce the maintenance cost and downtime loss of later period.

The invention relates to the technical field of three-dimensional geomagnetic field real-time simulation, in particular to a high-precision calibration method for three-dimensional geomagnetic field real-time simulation. Comprising the following steps: S1, collecting input direct current, obtaining corresponding uniaxial magnetic field intensity under each current value, and forming a uniaxial fitting function of the current and the magnetic field under a uniaxial condition; s2, performing data error verification, and determining a current division section of a uniaxial fitting relational expression based on a data error verification result; s3, a fitting function of each current division section is determined, connection of the fitting function of each current division section is determined through iteration, and a single-axis optimization function of the current and the magnetic field is generated; s4, for a single dimension, acquiring magnetic field intensities of other two corresponding axes under each current value, and forming a single-axis influence fitting function under a single axis; s5, generating a uniaxial current fitting function; according to the calibration method, the influence of a hysteresis phenomenon and a coupling phenomenon on the generated magnetic field can be eliminated, and high-precision calibration of the simulated geomagnetic field is realized.

This utility model discloses a simple tube locking structure and a photographic bracket. The tube locking structure includes a first leg tube assembly, a second leg tube assembly, a third leg tube assembly, a first base, a second base, and a third base. It also includes a latch, a pressure plate, a first drive block, a second drive block, a pull rod, and a locking component. The latch and pressure plate work together to lock or release the first leg tube assembly from the second leg tube assembly, and the latch, the first drive block, the second drive block, the pull rod, and the locking component work together to lock or release the second leg tube assembly from the third leg tube assembly. The structure has few parts and a compact layout, which not only reduces assembly difficulty and production costs, but also reduces the fit error between parts, improves the overall reliability of the structure, and facilitates disassembly and replacement of parts during later maintenance.

This invention discloses a multi-piston rod cylinder and its working method, belonging to the field of pneumatic components. The multi-piston rod cylinder includes: a cylinder body, at least two piston rods, and a piston element connected to the piston rods. The cylinder body has at least two piston chambers and several air ports. Each piston chamber contains at least one piston rod and a piston element. The piston element divides the piston chamber into a rod-side chamber and a rodless chamber. Each air port communicates with at least one rod-side chamber and / or a rodless chamber. Each piston chamber includes: at least one first piston chamber and at least one second piston chamber. The central axes of the first and second piston chambers are set at a predetermined angle. The central axis of the piston rod is parallel or collinear with the central axis of the corresponding piston chamber. This invention solves the problems of large assembly errors between the cylinder and connecting parts in existing technologies, and the excessive size making it unsuitable for use in space-constrained precision equipment.