125results about How to "Improve design accuracy" patented technology

The invention provides a configuration method and system for an overall electrical scheme of a machine room, and relates to the technical field of electrical planning, and the method comprises the steps: collecting multi-source heterogeneous data, carrying out feature extraction and semantic mapping, constructing a high-dimensional semantic association network, carrying out semantic enhancement, semantic modeling and logic association, extracting an abnormal mode, and obtaining a machine room operation state portrait; determining a machine room energy consumption rule and high-energy-consumption equipment, carrying out composite characteristic analysis to obtain a machine room electrical load curve, carrying out hierarchical progressive prediction in combination with exogenous variables, constructing a target function, solving to obtain optimal configuration parameters, and generating a power distribution system design scheme; a self-learning controller is added in a power distribution unit, the electrical load of a machine room is optimized, a power distribution equipment degradation mechanism model is constructed, service life prediction is performed, a power distribution equipment service life management strategy is output, equipment running abnormally is identified, abnormal reasons are judged by referring to historical abnormal data, and an abnormal report is generated and sent to equipment maintenance personnel.

The invention relates to a dynamic analysis optimization method for a high-speed stamping hybrid mechanism with a lubricating gap and considering an impact load. The dynamic analysis optimization method comprises the following steps: S1, defining structural parameters and design parameters; s2, establishing a lubrication gap motion model, a contact force model and an oil film bearing force model; s3, introducing a flexible beam unit model; s4, the relative motion state of the bearing and the shaft at the revolute pair element is judged; s5, establishing a kinetic equation; s6, solving the kinetic equation; s7, optimizing and improving the structural parameters of the mechanism; and S8, circulating the above process, and carrying out iterative solution until the kinetic analysis and parameter optimization are completed. The established rigid-flexible coupling kinetic equation containing the lubricating gap can more accurately predict the mechanism dynamic response characteristics of the high-speed stamping hybrid mechanism when the high-speed stamping hybrid mechanism is subjected to the impact load in actual work and operation, and the modeling method is suitable for dynamic response characteristic analysis and optimization design of high-speed stamping mechanisms of other configurations. The method has the advantages of wide applicability and the like.

The invention relates to the technical field of slurry valve design, and discloses a large-diameter slurry valve sealing structure design method and device suitable for a high-wear working condition, and the method comprises the steps: firstly obtaining key geometric parameters of a sealing structure, constructing a three-dimensional topological basic model and a mechanical property simulation model, and then carrying out the fusion to form a digital twin model; then constructing a wear morphology time sequence data set; meanwhile, three-level early warning threshold values are set for the key working condition parameters, a working condition risk grade division rule is established, and a real-time working condition risk grade is obtained according to the working condition risk grade division rule; and finally, based on the wear morphology time sequence data set and the real-time working condition risk level, constructing a wear evolution prediction model, and optimizing key geometric parameters of the sealing structure in combination with a digital twin model to obtain an optimal geometric parameter combination. Accurate prediction and optimal design of the abrasion state of the sealing structure of the large-diameter slurry valve can be achieved, the service life of the sealing structure under the high-abrasion working condition is remarkably prolonged, and the reliability of the sealing structure under the high-abrasion working condition is remarkably improved.

The invention provides a PCELL layout design optimization method and device, a medium and equipment, and is applied to the technical field of chip design. Flexible layout drawing is carried out by acquiring the PCELL containing the process parameters and the graph adjustable parameters, so that the layout structure parameters of the current PCELL are obtained. A three-dimensional device simulation model is constructed by using the parameters, and a simulation compact model is created by using an artificial neural network algorithm to describe the electrical behavior of the device. And verifying the electrical performance trend of the three-dimensional device simulation model by using the PCELL and the simulation compact model. And when the verification is passed, further verifying whether the module test circuit meets a preset PPA index. And if yes, fixing the structural parameters of the current PCELL layout. According to the method, process and design requirements are integrated through a construction and parameterization method, and simulation and verification of closed-loop feedback are utilized, so that the design precision and the process maturity are improved, the development period is shortened, and the reliability and efficiency of the process are enhanced.

The invention discloses a magnetic integrated transformer design method and device for a CLLC converter, relates to the technical field of high-frequency transformer design, and aims at solving the technical problem that an existing magnetic integrated transformer design method for the CLLC converter is poor in design precision. The method comprises the following steps: based on a preset transformer magnetic circuit model, a preset area product method and preset constraint conditions, determining the total number of turns of primary and secondary winding coils, the number of turns of the primary and secondary winding coils distributed to left and right side columns and the length of left and right side magnetic powder core magnetic columns, further obtaining the magnetic resistance of a magnetic flux branch, and considering the magnetic flux effect of an air gap edge. The accurate air gap length is determined, the magnetic resistance at the corner of the magnetic core and the extra leakage inductance value in air near a winding coil are fully considered, the primary side leakage inductance in a target magnetic core magnetic circuit, the total amount of the target air extra primary side leakage inductance and the magnetic powder core material magnetic conductivity of the target left and right side magnetic powder core magnetic columns are determined, and then a preset coil winding mode is combined. A magnetic integrated transformer for a CLLC converter is designed.

The embodiment of the invention provides a simulation method and device of a network-on-chip, electronic equipment and a storage medium, and relates to the technical field of the network-on-chip. The method comprises the steps of obtaining network simulation structure parameters, task simulation distribution parameters and performance optimization conditions; acquiring a simulation task of the network-on-chip; acquiring the simulation scale of the network-on-chip; and based on a solver of the satisfiability model theoretical model, obtaining an optimal node physical topology simulation result corresponding to the simulation task in the simulation scale under the condition that the network simulation structure parameters, the task simulation distribution parameters and the performance optimization conditions are satisfied. On one hand, the design difficulty of the network-on-chip can be reduced; and on the other hand, the optimal node physical topology simulation result obtained through the solver of the satisfiability model theoretical model has relatively high accuracy, has relatively strong reference significance for the design of the network-on-chip, and is beneficial to improving the design efficiency of the network-on-chip and improving the design accuracy of the network-on-chip.

The invention relates to a blade-like curved surface global consistent geometric design method based on a PHT spline, and the method comprises the steps: carrying out the high-precision fitting of a blade-like complex curved surface and the geometric features of the blade-like complex curved surface through employing a PHT-spline curved surface. According to the main technical scheme, the method comprises the following steps: splicing and cutting a parameter domain into a globally consistent complete single parameter domain as a definition domain of a PHT spline through a boundary consistency re-parameterization process; geometric features and boundary information are comprehensively considered, a to-be-fitted data point set is obtained through reasonable sampling, and corresponding high-order geometric information is calculated; and performing high-precision fitting by controlling hierarchical subdivision of a grid to obtain a blade curved surface represented based on a PHT spline. According to the method, the problem of discontinuity caused by cutting and splicing in a traditional design method is solved, the global consistency of the overall design is ensured, and meanwhile, the design precision and efficiency are improved.

The invention discloses an urban drainage network optimization design system, and relates to the technical field of urban drainage optimization, a data collection and preprocessing module is utilized to collect basic data, a parameter determination module is utilized to determine the rainfall intensity, the ground permeability, the sewage concentration and the pipeline cleanliness, and a comprehensive evaluation optimization module is utilized to optimize the urban drainage network. The drainage efficiency and cost effectiveness of rainwater and sewage are calculated and output respectively, a comprehensive evaluation result reflecting the sustainability of the whole drainage system is calculated and output in combination with the drainage efficiency and cost effectiveness of rainwater and sewage, and a detailed drainage network optimization design scheme is analyzed and formulated in combination with the drawn line graph. According to the method, innovative means of refined parameters, comprehensive cost-benefit analysis, systematic comprehensive evaluation and an intelligent feedback mechanism are introduced, and a more scientific, comprehensive and efficient solution is provided for planning, design, operation and maintenance of the urban drainage network.

The invention discloses an intelligent design method and system for ultra-thin ceramic false teeth. The intelligent design method comprises the following steps: constructing a two-dimensional template library and a three-dimensional template library, and respectively registering two-dimensional and three-dimensional templates with a three-dimensional dental model of a patient by using a template registration algorithm; after the registration of the three-dimensional template and the three-dimensional dental model of the patient is completed, a veneering three-dimensional model is obtained through Boolean subtraction; calculating the thickness of a marked anatomical region of the veneering three-dimensional model by adopting an SDF (Software Development Function), and if the thicknesses of some regions do not meet clinical requirements, performing thickening and smoothing operation on the veneering three-dimensional model according to a thickness threshold value determined by material physical characteristics and aesthetic veneering types corresponding to the regions; a mark of an inner surface bonding force enhancing area is arranged on a veneering three-dimensional model meeting clinical requirements, and according to the precision required by the veneering three-dimensional model, a method of direct three-dimensional modeling presentation or process fine adjustment is selected, so that manufacturing of a micro-area structure of the marked area is achieved. The veneering three-dimensional model designed by the invention can improve the repair quality and the comfort of a patient.

The embodiment of the invention discloses an automatic model selection method, device and equipment for pipeline supports and hangers and a storage medium. The method comprises the steps that design parameters of a pipeline are obtained, data analysis is carried out according to the design parameters, and target design parameters influencing the layout of the support hanger are determined; according to the target design parameters, pipeline stress analysis is carried out, and stress of different positions of the pipeline is determined; determining the type of the support hanger at the corresponding position according to the stress of each position of the pipeline; according to the target design parameters and the stress of each position, the span between the supports and hangers is calculated; and according to the type and span of the support hanger, constructing a support hanger arrangement structure of the pipeline, and generating a model selection result of the pipeline support hanger. Through automatic model selection of the pipeline supports and hangers, manpower consumption can be reduced, and the design efficiency and accuracy of the supports and hangers are improved.

The invention discloses a local removable movable denture design method based on a large model, which comprises the following steps: S1, collecting diversified oral cavity scanning data, and constructing a standard model covering different tooth arrangements, occlusion relationships and jaw structures; s2, scanning oral cavity model data of a target object to generate a 3D digital model; s3, comparing the generated 3D digital model with a standard model, and identifying and marking tooth restoration elements; and S4, determining a design scheme of the locally removable removable denture according to the marked tooth restoration elements. The method provided by the invention solves the challenges faced by current grassroots physicians and medical students in denture design, and has wide application prospects and social benefits.

The invention discloses a standard component design effectiveness evaluation method. The method comprises the following steps: determining form design parameters, material characteristics and a production process flow according to a standard component design scheme; determining original morphological parameters and material attributes of the original processing material according to the production process flow, and applying the original morphological parameters and the material attributes to the finite element model; the production process flow is simulated through process simulation software, and state parameters of the standard part in the whole machining and forming period are obtained; driving the finite element model to enter processing and forming dynamic performance analysis of the standard component based on the state parameters to obtain multiple performance indexes of the standard component; and evaluating the plurality of performance indexes based on preset performance index requirements to obtain an evaluation result of the design effectiveness of the standard component. By physically simulating the production process of the standard component and performing finite element analysis on the whole cycle of the production process, the effectiveness of the design of the standard component is extracted and evaluated, and a designer can conveniently optimize the standard component in the design stage.

The invention discloses an axial passive magnetic bearing with a dual damping effect and a design method thereof, and the axial passive magnetic bearing with the dual damping effect comprises a stator, a rotor, an eddy current damping conductor arranged on the stator, an eddy current damping permanent magnet arranged on the rotor, and a magnetic fluid arranged between the stator and the rotor. The design method comprises the steps that the numerical range of eddy current damping force is determined based on the set numerical range of equivalent damping coefficients and magnetofluid dynamic vibration absorption eddy current loss damping force; determining the thickness of the eddy-current damping conductor according to the relationship between the eddy-current damping force and multiple structure sizes of the eddy-current damping permanent magnet and the thickness of the eddy-current damping conductor, the numerical range of the eddy-current damping force and the size design requirement of the eddy-current damping permanent magnet; the structure of the axial passive magnetic bearing with double damping effects is designed according to the thickness of the eddy current damping conductor. Quantitative design of the axial passive magnetic bearing with double damping effects is achieved, and design precision is improved.

The invention provides a rapid intelligent design method and system for a surface acoustic wave filter, and the method comprises the steps: building a physical model of a surface acoustic wave resonator based on electromagnetic simulation software, carrying out the calculation to obtain a corresponding admittance response, and obtaining a series of surface acoustic wave resonator admittance responses and key structure parameters for constructing a target surface acoustic wave filter; preprocessing the collected sample data set to form an input vector of a deep learning model; constructing a reversely designed neural network model, learning a mapping relation between structure parameters and admittance response, and predicting the structure parameters of the serial and parallel surface acoustic wave resonators; and in combination with a COM model, the admittance of the series resonator and the admittance of the parallel resonator are converted into an S matrix, so that a filtering passband is obtained. According to the method, the problems of high calculation cost and accuracy caused by complex acoustic characteristics and material parameters are avoided, the defects that a traditional numerical simulation method is time-consuming, tedious and complex in circuit topology process are overcome, and the rapid and intelligent design requirement of the surface acoustic wave filter is met.

The invention provides an isogeometric topology optimization method and device based on thermoelastic metamaterial design, and relates to the field of isogeometric topology optimization. The method comprises the following steps: constructing a multi-material interpolation model corresponding to a thermoelastic metamaterial, and obtaining multiple groups of density distributions corresponding to multiple solid materials and one density distribution corresponding to one solid material in a thermoelastic metamaterial design domain according to the multi-material interpolation model; obtaining a relation interpolation among the multiple groups of density distributions, and obtaining an elastic modulus and a thermal expansion coefficient according to the relation interpolation; calculating an equivalent elastic matrix corresponding to the thermoelastic metamaterial according to the elastic modulus, and calculating a thermal expansion coefficient matrix corresponding to the thermoelastic metamaterial according to the thermal expansion coefficient; performing discretization form processing on the calculation equations of the equivalent elastic matrix and the thermal expansion coefficient matrix through an isogeometric grid, constructing a constraint function according to the equivalent elastic matrix, constructing a target function according to the thermal expansion coefficient matrix, and calculating sensitivity information corresponding to the first design variable through the target function and the constraint function; updating the first design variable according to the sensitivity information until the thermal expansion coefficient meets a convergence condition, and acquiring a second design variable meeting the convergence condition through geometric topology design models such as a negative thermal expansion metamaterial; and performing optimization design on the thermoelastic metamaterial according to the second design variable. The problem that when a complex geometric structure is processed, a finite element method is difficult to guarantee efficient and high-precision design of the thermoelastic metamaterial is solved.

The invention discloses a parametric modeling system and method for ship pipe outfitting. The parametric modeling system comprises a data extraction module, a parametric modeling module, a visual display module and a data management module. The method comprises the following steps: extracting geometric shape and topological relation data information of ship pipe outfitting unit modules based on ship design software, and formulating an extraction rule according to the characteristics of ship pipe outfitting data; the parametric modeling module is connected with the visual display module to carry out model information interaction, based on the extracted geometric information parameters of the ship pipe outfitting component, a three-dimensional geometric model script of the pipe outfitting component is generated by utilizing modeling software logic and rules, a logic relationship and a constraint relationship among the geometric parameters are established, and the three-dimensional geometric model script of the pipe outfitting component is displayed. And determining the relative position and size of the pipe outfitting part in the three-dimensional space, and assembling into a parameterized model of the pipe outfitting part. By arranging the data extraction module and the parametric modeling module, efficient and accurate parametric modeling and efficient data management of ship pipe outfitting production design are achieved, and the design efficiency of ship pipe outfitting is improved.

The invention provides a tubular pile vertical dynamic stiffness determination method and system, and relates to the technical field of dynamic stiffness determination, and the method specifically comprises the following steps: collecting material characteristics, geometric characteristics and soil mass parameters of a tubular pile; performing a dynamic load test on the tubular pile to obtain dynamic response data of the tubular pile, and generating a dynamic response index; the pipe pile material characteristics and the geometric characteristics are combined to generate a first influence index; generating a second influence index based on the soil parameter; and synthesizing the first influence index, the second influence index and the dynamic response index to generate a calculation expression of the vertical dynamic stiffness of the tubular pile. According to the method, the material characteristics, geometric characteristics and soil parameters of the tubular pile are collected and analyzed in detail, so that the design precision is improved, and the bearing capacity and safety of the tubular pile are enhanced. And secondly, inherent frequency and damping ratio data provided by the dynamic load test enable the understanding of the dynamic characteristics of the tubular pile to be deeper, and the risk of structural damage is reduced.

The invention discloses a body-in-white structure process parameter optimization model training and application method and device, and relates to the field of body-in-white structure process integration design, a body-in-white simulation model is utilized to simulate a casting process under a plurality of sets of process parameters, and a simulation result corresponding to each set of process parameters is obtained; determining a potential defect area of the body-in-white according to a simulation result; determining structural parameters of the potential defect area; taking the design scheme as a state, taking the process parameter adjustment amount as an action, taking the process parameters and the structure defect probability of the body-in-white under the structure parameters as reward values, and applying a reinforcement learning technology to train the structure process parameter optimization model to obtain a trained structure process parameter optimization model; and finally, carrying out structure and process parameter integrated design by utilizing the trained structure process parameter optimization model. The design accuracy of the process parameters and the structure parameters is improved.

The invention discloses a sealing performance test device and method for a superconducting motor refrigerant transmission sealing member, the test device comprises an inner cavity assembly, an outer cavity assembly and a plugging member, one end of the inner cavity assembly is provided with a first air vent, the other end is provided with a movable interface, and an inner radial spigot is formed on the outer wall of the inner cavity assembly at one end of the movable interface; the outer cavity assembly is coaxially arranged in the inner cavity assembly, one end, close to the movable connector, of the outer cavity assembly is provided with a second air vent, an outer radial spigot corresponding to the inner radial spigot is formed in the inner wall of the outer cavity assembly, and an inner ring and an outer ring of the sealing element to be tested are connected to the inner radial spigot and the outer radial spigot in a sealed mode respectively. Pressure measuring ports are formed in the outer wall, on two sides of the sealing element, of the outer cavity assembly, and an exhaust port is formed in the outer wall close to one side of the first ventilation port; the plugging piece is detachably arranged at the movable connector. The technical problems that an existing refrigerant transmission sealing performance testing device for the superconducting motor is too long in cooling time and complex in debugging process are solved.

The invention belongs to the technical field of suspension vibration reduction, and particularly relates to a suspension system design method which comprises the following steps: determining the load gravity center of a whole vehicle according to the overall arrangement requirement, preliminarily arranging an action system, and respectively arranging a wheel train and a suspension guide mechanism. In the aspect of wheel train arrangement, according to the principle that the load gravity center and the elastic center coincide as much as possible, the wheel train position is preliminarily arranged, random road excitation is generated, an equivalent linear dynamics model of a vehicle is established, and dynamics matching calculation is carried out. In the aspect of suspension guide mechanism arrangement, a hydro-pneumatic suspension mathematical model is generated, the determined suspension damping ratio is input into the hydro-pneumatic suspension mathematical model to guide damping valve design and generate nonlinear damping characteristics, and meanwhile, the calculated axle loads are input into the hydro-pneumatic suspension mathematical model to generate nonlinear damping characteristics. The method is used for generating and calculating non-linear elastic characteristics and comprehensively evaluating whether vehicle body vibration response characteristics, suspension heat balance temperature rise characteristic curves and key and heavy part reliability analysis results meet design index requirements or not.

The invention relates to the technical field of steel design, in particular to a steel grade design method and system, electronic equipment and a storage medium, and the method comprises the steps that target values of mechanical property indexes of to-be-designed steel grades and initial values of target process parameters of the to-be-designed steel grades are obtained; inputting the initial value of the target process parameter into a pre-trained mechanical property prediction model, and performing mechanical property prediction to obtain a prediction result of a mechanical property index; and performing iterative optimization on the initial value of the target process parameter according to a preset target function, the prediction result and the target value of the mechanical property index so as to obtain a final value of the target process parameter and a final mechanical property value corresponding to the final value, the mechanical property final value refers to a prediction result obtained by inputting the final value of the target process parameter into the mechanical property prediction model; according to the method, the steel grade design efficiency is high, the steel grade design period is greatly shortened, the test cost is reduced, and the precision is high.

The invention discloses a low-noise amplifier based on an inverter and a multi-objective optimization method of the low-noise amplifier. The low-noise amplifier comprises the inverter, an input capacitor CI, a feedback capacitor CF and a single-stage operational amplifier. The phase inverter is formed by connecting a PMOS (P-channel Metal Oxide Semiconductor) tube and an NMOS (N-channel Metal Oxide Semiconductor) tube in series, the input capacitor CI and the feedback capacitor CF are respectively of a split capacitor structure, the positive input end of the single-stage operational amplifier is connected with the output end of the phase inverter, the negative input end of the single-stage operational amplifier is connected with reference voltage, the output end of the single-stage operational amplifier is connected with a grid electrode of the NMOS tube through a resistor R2, the grid electrode of the PMOS tube is connected with a resistor R1, and the resistance value of the resistor R1 is equal to that of the resistor R2; the stability and the noise performance of the amplifier circuit are improved; by using a multi-objective optimization design method, the design parameters of the low-noise amplifier are optimized so as to meet the amplification requirements of ultrasonic pulse echo signals with different frequencies, and the design efficiency is improved.

The invention relates to an elevator spandrel girder mechanical analysis method based on finite element analysis. The method comprises the following steps that an elevator spandrel girder three-dimensional model is constructed, and an optimization interference problem is checked; determining load coefficients and rated load proportions of the elevator under different working conditions according to related standards; according to the working conditions of full-load car descending braking and full-load counterweight descending braking, the steel wire rope pulling force and the main machine rack bearing pulling force are calculated; the two ends of the bearing beam are simplified into simple support structures, and loads borne by all stress points of the bearing beam are determined; theoretically calculating the strength and rigidity of the bearing beam; establishing a finite element model by utilizing finite element analysis, and performing simulation analysis on the two extreme working conditions; and comparing theoretical calculation with finite element simulation data, and evaluating whether the strength and rigidity of the spandrel girder meet requirements or not. The design accuracy and reliability of the elevator bearing beam can be effectively improved, the design cost is reduced, and the method is suitable for various well layout and steel wire rope routing modes.

The invention relates to a prosthesis material, a nose prosthesis containing the same and a preparation method. The prosthesis material comprises 20-90 parts of a degradable high polymer material and 10-80 parts of an inorganic material, the degradable high polymer material comprises any one or a combination of at least two of polycaprolactone, polylactic acid, polyurethane or polyether-ether-ketone; the inorganic material comprises tricalcium phosphate and / or hydroxyapatite. By designing and preparing the composite wire rod in a specific proportion, the flexibility and ductility of the prosthesis are improved, and enough mechanical strength and ideal osseointegration capability can be provided; and in combination with a personalized design process, precise customization and efficient manufacturing of the nose prosthesis are realized.

The invention relates to the technical field of tire simulation design, in particular to a tire pattern overall rigidity calculation method and system and a computer software product. The method comprises the following specific steps: establishing a pattern node set and an other part node set, applying a pavement load and simulating a pressed state of a pattern, calculating a relation curve of displacement and counter force, calculating the overall rigidity of the pattern through a slope, and evaluating the performance of the pattern through a pattern rigidity change ratio. Whether the patterns need to be optimized and adjusted or not is judged according to the rigidity change ratio, and therefore the control performance, safety and stability of the tire are improved. The method has high precision and operability, and provides a scientific basis for design, optimization and performance analysis of tire patterns. By means of the systematic calculation process, the tire design efficiency can be effectively improved, and reliable technical support is provided for tire performance optimization.

The invention discloses a digital-real fusion test method and system for aerospace equipment manufacturing, and belongs to the field of aerospace equipment manufacturing, and the method comprises the steps: designing an aerospace equipment digital twinborn resource library module which comprises a material library unit, a modeling simulation unit and a process evaluation unit, wherein the material unit provides a metal or non-metal material for equipment manufacturing, the modeling simulation unit is responsible for establishing a three-dimensional model of equipment and completing coupled physical field simulation, and the process evaluation unit stores process parameters and equipment energy efficiency data in the equipment manufacturing process; designing an aerospace equipment iterative optimization module, wherein the module completes equipment structure optimization and equipment manufacturing process optimization based on a multi-model collaborative optimization strategy; and an aerospace equipment data-real fusion consistency verification module is designed, and the module synchronizes resource library data and completes data-real consistency verification after data migration of the aerospace equipment based on data-real real-time interaction. The method disclosed by the invention can effectively improve the manufacturing process efficiency of aerospace equipment and shorten the production cycle.

The utility model discloses a multi-section range type constant-voltage constant-current test circuit, which mainly solves the problem of high design cost of the existing single-section full-range constant-voltage constant-current test circuit. The circuit comprises a single-chip microcomputer control module, and a power supply module, a constant-voltage constant-current module, a power amplification module and a communication and external control module which are connected with the single-chip microcomputer control module. Through the design, the full range is designed into a multi-section range (voltage: 150V gear, 50V gear and 18V gear; according to the invention, the design precision of the maximum gear is the same as the design precision of the full-scale gear, and although other gears have the same resolution with the full-scale gear, the lower the gear is, the smaller the division value corresponding to each unit resolution is, so that the design precision is improved, and the design cost is reduced. Therefore, the method is suitable for popularization.

The invention discloses a metasurface structure for reducing normal incident scattering of an antenna, and the metasurface structure employs a double-layer design, combines an absorption layer and a frequency selection surface layer, and achieves broadband absorption through a periodically two-dimensional unfolded microstrip patch unit and a three-layer resistor loading metal ring. Ansys electromagnetic field simulation software verifies that the structure effectively reduces the radar cross section of the microstrip antenna within the frequency band of 3-10 GHz, and ensures the normal work of the antenna at the same time. Through deep analysis and simulation optimization, key factors influencing the performance are determined, and the balance between the wave permeability and the wave absorbing property is realized. Besides, an adjustable resistance circuit, a reconfigurable mechanism, an intelligent algorithm and a sensor technology are integrated, the stability and the automation level of the antenna performance are further improved, and an effective solution is provided for improving the scattering reduction effect during forward incidence of radar waves.

The present invention relates to a deep-water bare rock punching and drilling rectangular groove rock-embedded double-walled steel cofferdam and a construction method, which uses a long-arm excavator to comprehensively and thoroughly excavate and clean the riverbed, especially the rectangular groove; controls the sinking and deviation correction of the double-walled steel cofferdam through compartment water injection and anchoring systems, symmetrically and evenly injects water into each compartment to allow the steel cofferdam blade to smoothly embed in the groove; finally, the foundation is cleared and the bottom is sealed with concrete. The beneficial effects of the present invention are: utilizing the operating advantages of the excavator, such as strong power, great force, fast speed, and high efficiency, not only achieves the purpose of cleaning riverbed garbage, but also reduces the steel cofferdam foundation clearing time and shortens the construction period; combined with an intelligent control system for construction control, improves the safety of construction personnel and construction efficiency, solves the problems of difficult and low efficiency construction of steel cofferdams in deep-water steep bare rock environments, and has significant economic, environmental and social benefits.

The invention provides a case reasoning-based mechanical equipment intelligent design method. The method comprises the following steps: constructing a mechanical equipment design case library; calculating subjective and objective weights of design features, optimizing subject and guest weight distribution, and calculating a mixed weight; taking the new problem as a retrieval condition, and identifying candidate cases based on weighted similarity; normalizing problem attributes of the candidate cases according to column maxima to form a similarity matrix; solving utility values of candidate case problem attributes to form utility vectors; normalizing problem parts of the candidate cases according to column maxima to form a similarity matrix; combining the similarity matrix and the grey incidence relation matrix, and obtaining a weighted average matrix after normalization; and solving the value of the solution feature of the new problem by using a weighted average method according to the elements of the weighted average matrix so as to obtain a solution. According to the invention, the efficiency and the intelligent level of mechanical equipment design can be improved.