73results about How to "Efficient design" patented technology

The invention discloses a low-repetition-frequency spiral microcavity structure and a design method, and belongs to the field of silicon-based integrated photon chips. The low-repetition-frequency spiral microcavity structure comprises a first spiral bent waveguide, a second spiral bent waveguide, an internal connection bent waveguide, an external connection bent waveguide and a bus waveguide. The curvature radius of each point of the internal connection bending waveguide changes along with the length and meets the Euler spiral equation, and the internal connection bending waveguide is used for connecting the starting points of the first spiral bending waveguide and the second spiral bending waveguide. The external connection bending waveguide is used for connecting the end points of the first spiral bending waveguide and the second spiral bending waveguide. The first spiral bent waveguide, the second spiral bent waveguide, the internal connection bent waveguide and the external connection bent waveguide form a closed spiral annular waveguide. A light beam transmitted in the bus waveguide is coupled into the spiral annular waveguide. The invention further discloses a design method of the low-repetition-frequency spiral microcavity structure. According to the invention, loss caused by high-order mode crosstalk and mode mismatch can be reduced, and the area utilization rate of a chip is improved.

The invention discloses a lithium niobate film rapid heat insulation 3dB power beam splitter, and relates to the technical field of integrated photons. Comprising an upper cladding layer, an x-cut lithium niobate film layer, a buried oxide layer and a silicon substrate layer which are sequentially stacked from top to bottom, the x-cut lithium niobate layer contains a lithium niobate film ridge waveguide formed by an etching technology; the lithium niobate film waveguide comprises an input end conical waveguide, an input end S-bent waveguide, a rapid adiabatic mode evolution waveguide and an output end S-bent waveguide which are connected in sequence; on the basis of a traditional linear adiabatic cone, nonlinear change is achieved in combination with adiabatic parameters so as to accelerate the adiabatic process, and the excellent characteristics of broadband and robustness of the adiabatic power beam splitter are reserved while the length of the adiabatic power beam splitter is reduced.

The present invention belongs to the field of construction site safety technology, specifically a construction site construction safety assessment system, the system includes: a scene reconstruction design module, a data perception module, a data communication module and a data processing module. The present invention has the beneficial effects of being able to realize real-time, accurate and comprehensive data collection and transmission of construction sites, improving the data quality and timeliness of construction safety assessments; being able to realize clear, intuitive and dynamic scene reconstruction and display of construction sites, improving the visualization and interactivity of construction safety assessments; being able to realize scientific, objective and consistent risk analysis and assessment of construction sites, improving the systematicness and reliability of construction safety assessments; being able to realize efficient, accurate and intelligent design and construction optimization and adjustment of construction sites, improving the optimization and automation of construction safety assessments.

A wind turbine blade generative optimization design method based on a generative adversarial network comprises the steps that detailed data of existing wind turbine blades are obtained through a simulation algorithm, and a training data set is formed; and generating a new fan blade three-dimensional structure through the encoder and the generative adversarial network. And evaluating the power generation efficiency of the newly designed fan blade by using the generative adversarial network. And optimizing the fan blade design through adversarial training of the generative neural network and the predictive neural network, and finally outputting the optimized fan blade design. According to the method, the problems that multiple design targets such as aerodynamic performance, structural strength and cost are difficult to consider at the same time during fan blade optimization, and local optimal solutions are likely to be caught in are solved; through multi-target training, optimization design meeting multiple targets at the same time is generated, through feedback of a discriminator, the generated design is improved step by step, and the blade shape with the optimal comprehensive performance is found.

The invention discloses a low-voltage transformer area branch relation checking method, which comprises the following steps of: acquiring current and voltage data of each user in the same transformer area, and recording a matching number between current and voltage effective value cross phases; according to the recorded matching number and the normalized association strength, constructing a voltage and current change association matrix between the users; according to the incidence matrix, constructing a distance matrix based on a Pearson correlation coefficient; using a DBSCAN clustering method to carry out clustering analysis on the user to obtain a preliminary user branch; the DBSCAN clustering result is fused with the minimum spanning tree, and user branch division is optimized; branch relation checking is conducted, a final branch division result is output, and the branch division result comprises normal branches and abnormal users. The invention further discloses a corresponding system. According to the method, the existing voltage and current data are utilized, and the DBSCAN clustering and the minimum spanning tree algorithm are combined, so that accurate identification and optimization of the branch relation are realized.

The invention relates to an ultra-wideband high-performance radio frequency power amplifier based on gate source nonlinearity. One end of an SMA input connecting line is connected with a radio frequency signal source; the other end of the SMA input connecting line is connected with the input end of the input matching circuit; the output end of the input matching circuit is connected with the input end of the gate-source nonlinear control circuit; the output end of the gate-source nonlinear control circuit is connected with the gate of the power amplifier tube; the gate bias circuit is connected in parallel between the output end of the input matching circuit and the input end of the gate-source nonlinear control circuit; the drain electrode of the power amplifier tube is connected with the input end of the tuning circuit; the output end of the tuning circuit is connected with the input end of the output fundamental wave and harmonic wave matching circuit; the drain biasing circuit is connected in parallel between the output end of the tuning circuit and the input end of the output fundamental wave and harmonic wave matching circuit; the output end of the output fundamental wave and harmonic wave matching circuit is connected with one end of the SMA output connecting line; and the other end of the SMA output connecting line is a radio frequency signal output end. According to the invention, the ultra-wideband / multi-octave high-performance power amplifier is designed.

The invention provides a design method and device for a buckling-restrained brace for reinforcing a concrete frame structure, and relates to the technical field of building design. The design method for the buckling-restrained brace for reinforcing the concrete frame structure comprises the steps that a concrete frame structure design drawing of a target building is obtained; according to the concrete frame structure design drawing, the position information of the first buckling-restrained brace capable of being arranged of the target building is obtained through the buckling-restrained brace position prediction model; wherein the anti-buckling support position prediction model is a machine learning model obtained by training a training data set; and according to the position information of the first buckling-restrained brace capable of being arranged, the buckling-restrained brace design of the target building is determined. According to the method, the buckling-restrained brace design for reinforcing the concrete frame structure can be efficiently and reliably completed.

The invention belongs to the technical field of engines, and discloses a rotary detonation combustion chamber which comprises a combustion chamber body, the combustion chamber body comprises a combustion chamber shell composed of an inner sleeve structure and an outer sleeve structure, a fluid channel is formed in the combustion chamber shell, and the inlet end of the fluid channel is a combustion chamber air inlet; the fluid channel comprises a combustion chamber throat section, a first expansion section, a U-shaped groove section, a second expansion section and a combustion chamber downstream straight section which are sequentially arranged. One end of the combustion chamber throat section communicates with the combustion chamber air inlet. And the U-shaped groove section comprises a U-shaped groove fillet section and a U-shaped groove straightway section which are arranged in sequence. The whole U-shaped groove fillet section is of a topological fluid diode structure, and one end, close to the first expansion section, of the topological fluid diode structure is of an arc-shaped structure. The topological fluid diode structure provides a new view angle and a new solution for optimization of the combustion chamber, and design and development of the more efficient and more stable combustion chamber are promoted.

The invention belongs to the field of semiconductor chip design, and discloses a chip design rule violation prediction method based on deep learning, and the method comprises the steps: 1, data preparation: constructing a feature map and a target map, and enabling the feature map and the target map to jointly form data needed by a CNN linear regression training model; and 2, model training: carrying out linear regression by using a convolutional neural network (CNN) to train and evaluate a DRV prediction model. According to the method, the CNN linear regression model is adopted, factors such as multi-scale feature fusion and boundary effect are considered, the feature map is supplemented, and design rule violation can be predicted more quickly and accurately after the global wiring stage. By analyzing Gcell information and device placement data, the potential DRV number of each Gcell in the chip is predicted. According to the method, a prediction mechanism is introduced in the early stage of the design process, the design efficiency is remarkably improved, and the requirement for later modification is reduced.

The invention relates to an expressway interleaving area optimization method, terminal equipment and a storage medium. The method comprises the following steps: collecting traffic demand data and vehicle track data of an expressway interleaving area to be optimized; calculating lane changing rates corresponding to different interweaving area types; performing lane change rate scoring on each interweaving area type; according to the traffic flow in different flow directions, the proportions of straight movement, confluence and diversion in the three flow directions are set; calculating a conflict probability, a serious conflict probability and corresponding proportions; setting scores corresponding to the conflict probability and the serious conflict probability; calculating the safety performance of each interleaving area type in the lane changing event; setting a lane changing rate target proportion and a lane changing safety target proportion corresponding to each interweaving area type; calculating a comprehensive score of each interweaving area type; and selecting the interweaving area type with the highest comprehensive score. According to the method, traffic organization design in the aspect of safety can be effectively carried out on the expressway interweaving area.

The present invention provides a method for erosion gully control, which relates to the technical field of erosion gully control, including using a drone to collect images of a to-be-controlled area, generating a three-dimensional scene image of the to-be-controlled area; determining various types of construction control areas based on the gully head, gully tail and gully; performing corresponding control construction on various types of construction control areas; setting a number of monitoring cycles, performing data collection in each monitoring cycle, and evaluating the erosion gully control effect based on the data collection results. The present invention solves the technical problem that the existing erosion gully control engineering measures require manual field investigation to obtain a two-dimensional image of the to-be-controlled area before engineering planning, which is time-consuming and labor-intensive, and the image finally obtained usually has a large error, which directly affects the final control effect. At the same time, after the construction of the control project is completed, there is a lack of monitoring of the control project, and timely feedback and timely adjustment of the control effect cannot be made. It is only static control, and the control effect cannot be scientifically evaluated.

The application discloses a protein-small molecule binding structure prediction method and device, equipment and medium, relates to the technical field of protein-small molecule binding prediction, and includes: obtaining the first modeling graph structure and the second modeling graph structure of the protein block and the small molecule compound to be tested after modeling respectively; inputting the first modeling graph structure and the second modeling graph structure into a TANKBind model to output a predicted protein-small molecule complex through the TANKBind model; generating a first topology file and a second topology file corresponding to a protein structure file and a small molecule structure file of the protein-small molecule complex; performing molecular dynamics simulation by using a preset molecular dynamics simulation tool and a simulation file generated according to the first topology file and the second topology file to obtain a molecular dynamics simulation trajectory file; and analyzing the molecular dynamics simulation trajectory file, the first topology file and the second topology file to obtain simulation analysis results.

The invention relates to the technical field of wastewater treatment, and discloses a phenol-ammonia wastewater extraction parameter design method and device.The method comprises the steps that an extraction model between a phenolic compound and an extraction agent is established, and an extraction technological process simulation system is established based on the extraction model and the extraction process of phenol-ammonia wastewater; selecting a plurality of extraction parameters from the extraction process flow simulation system as decision variables, and setting a plurality of target optimization directions to construct a multi-target optimization model; solving based on an extraction process flow simulation system and a multi-objective optimization model to obtain a Pareto optimal solution set; and selecting a target solution from the Pareto optimal solution set according to a target demand, and designing phenol-ammonia wastewater extraction parameters based on the target solution. By means of the scheme, better design of the phenol-ammonia wastewater extraction parameters can be achieved, the phenol-ammonia wastewater extraction parameter values better meeting actual requirements can be screened out, and therefore the extraction effect of the phenol-ammonia wastewater can be improved.

The invention provides a sewing machine, a needle bar crank of the sewing machine and a design method of the needle bar crank. The design method comprises the following steps: establishing a dynamic model of the needle bar crank in dynamic simulation software, and establishing a simulated mass center of the needle bar crank; setting a plurality of groups of parameter conditions, adjusting the simulated mass center according to the plurality of groups of parameter conditions in dynamics simulation software, and calculating the inertia force of the needle bar crank to the front bearing seat under different parameter conditions. The inertia force meeting the set condition is selected from the inertia force of the needle bar crank on the front bearing seat under the condition of different parameters, and the needle bar crank is designed according to the parameter condition corresponding to the inertia force. According to the technical scheme, the parameters of the mass center of the needle bar crank are simulated and adjusted through the dynamic simulation software, the parameter conditions enabling the inertia force of the needle bar crank mechanism to meet the set conditions are selected, the optimal needle bar crank can be rapidly designed according to the parameter conditions, then vibration and noise generated when the sewing machine works are weakened and improved, and the working efficiency of the sewing machine is improved. And the motion precision and stability of the sewing machine are improved.

The invention relates to an assembly type transverse straining beam double-column type pier based on U-shaped metal dampers and an installation method, and belongs to the technical field of bridge engineering seismic mitigation and isolation. Comprising a bent cap, a bearing platform and a pier stud between the bent cap and the bearing platform, and further comprises a pier stud embedded part, a rigid transverse straining beam and a U-shaped metal damper. The rigid cross tie beam is arranged at a proper height between the two pier columns through the pier column embedded parts; wherein the U-shaped metal damper mainly comprises a restraint plate, a U-shaped metal plate and a bolt; the rigid cross tie beam is cut off at the midspan position, and the U-shaped metal damper is arranged at the cut-off position. Restraining plates are fixed to the two sides of the cut-off position of the midspan position of the rigid transverse straining beam. The U-shaped metal plate is connected with the restraining plate through a bolt; according to the invention, the energy dissipation capacity is stable, the function of rapid repair and replacement after an earthquake can be realized, prefabrication and assembly can be realized, and the site construction time is greatly reduced.

The tree-shaped waterway structure and the cooling device thereof comprise separation baffles used for dividing waterway space; the water inlet and the water outlet are respectively formed in the diagonal areas of the separation baffle to realize liquid circulation in the separation baffle; the flow guide block is located in the center of the partition baffle and divides water flow in the main flow path into two strands, and the water flow distribution uniformity is improved; the tree-shaped water path structure and the heat dissipation cooling device have the advantages that the tree-shaped water path structure is compact and reasonable in structure and convenient to operate, and the tree-shaped water path structure and the heat dissipation cooling device are skillfully designed and optimized, so that water flow can be uniformly distributed, and the heat can be efficiently dissipated by the tree-shaped water path structure and the heat dissipation cooling device can be effectively dissipated by the aid of the tree-shaped water path structure and the heat dissipation cooling device. Various types of heat dissipation cooling devices meet the heat dissipation requirements in different scenes, and the space utilization rate and the product competitiveness are improved. Meanwhile, the device is reasonable in structural design, low in manufacturing cost and easy to popularize and apply.

The application provides a method for monitoring a contaminated soil remediation process, which comprises the following steps: adding micro-nano reactors into wet contaminated soil, transferring into a closed container, mixing uniformly, carrying out the soil remediation process, collecting samples at different time periods of the remediation process, separating the micro-nano reactors from the soil by using a flotation method or a screening method, and obtaining the micro-nano reactors with target pollutants or degradation products of the target pollutants on the surfaces of the micro-nano reactors. The surface state of the separated micro-nano reactors and the target pollutants or degradation products are analyzed by using spectroscopy technology, the distribution of the target pollutants, the element valence, the morphology of the nano metal or metal oxide, the crystal form and the change of the valence are judged, the separated micro-nano reactors are washed by using an organic solvent, the target pollutants or degradation products washed out are analyzed, and the types of the target pollutants or degradation products are judged; and the progress of the soil remediation and the interaction mode of the components in the micro-nano reactors and the pollutants in the soil are obtained according to the analysis results.

The application discloses an interactive form design method and system based on a language large model, and belongs to the technical field of human-computer interaction and form automatic generation. In view of the problems that a traditional form design tool is tedious to operate, highly depends on manual experience, and an existing method based on a large model has high training cost, weak interaction ability and difficulty in real-time collaboration, the following scheme is used for improvement: defining a JSON Schema specification of a form and constructing a visual form designer, integrating a language large model interaction entrance in an interface, dynamically assembling a request containing user instructions, a JSON Schema specification and existing form data according to whether the form is empty, and submitting the request to the language large model; receiving a response in a streaming manner, and real-time analyzing and progressively updating a form designer preview interface, so that a user can directly generate or modify a form through natural language instructions, and multi-round interaction and manual subsequent adjustment are supported. The method is mainly used for reducing a form design threshold, improving design efficiency and intelligent collaboration level.

This invention discloses a method for constructing and analyzing a genome-scale metabolic network model of *Paragonimus denitrifyingus*, belonging to the field of systems biology. The method includes: whole-genome annotation; obtaining global metabolic response data of *Paragonimus denitrifyingus*; automatically retrieving genomic information and constructing Model 1 based on the species code and genome annotation results of *Paragonimus denitrifyingus* in the KEGG database; constructing Model 2 by identifying homologous proteins in the *Paragonimus denitrifyingus* genome through homology searching of proteins in the target organism based on a pre-trained Hidden Markov Model; and integrating Model 1 and Model 2. This invention allows for the efficient design and modification of denitrification engineering, achieving precise control of nitrogen degradation processes. Compared to existing metabolic engineering methods, this invention effectively reduces the workload of exploratory experiments and greatly advances a deeper understanding of the nitrogen degradation characteristics of *Paragonimus denitrifyingus*.

The invention provides a continuous pressure regulation optimization method of an emergency throttle valve and the emergency throttle valve. The method comprises the following steps: S1, establishing an optimization target; s2, setting initial parameters; s3, performing opening degree simulation on the conical valve head; s4, selecting an angle value of a cone angle of the valve head, and performing opening degree simulation on the piecewise function type valve head; s5, adjusting an angle value of a cone angle of the valve head, and performing opening degree simulation of throttling ports at different displacement positions of a valve core on the piecewise function type valve head; and S6, adjusting the outlet aperture of the outlet channel to carry out openness simulation, and determining the outlet aperture value of the outlet channel. According to the invention, continuous pressure regulation and pollution resistance of the emergency throttle valve under the condition of constant flow are taken as improvement targets, the structure of the cone angle of the valve core and the valve head is improved, and a logarithmic function form is adopted, so that the drainage basin of the emergency throttle valve is streamlined, and pollution particles in oil can easily flow out of the emergency throttle valve along with hydraulic oil; pollution particles are prevented from being retained in the valve, the cone angle of the valve head is variable, and then continuous change of pressure is achieved.

The invention discloses a Mycobacterium tuberculosis epitope mRNA (messenger Ribonucleic Acid) vaccine simulated, predicted and screened by a computer, which is prepared by the following steps: bacterial protein sequence acquisition and signal peptide analysis: acquiring amino acid sequences of proteins ESAT6, CFP10, Ag85A, Ag85B, TB10.4, PPE68, PPE18 and Rv1813c through a database; the method comprises the following steps: analyzing physicochemical properties of proteins, including the number of amino acids, the molecular weight, the instability index and the overall average value of water solubility, analyzing and predicting the allergy of the epitopes by using a server, and generating all potential mutants by using the server to predict and measure the toxicity of the epitopes; the multi-epitope mRNA vaccine candidate is successfully constructed by adopting computer simulation screening and optimization of the mycobacterium tuberculosis multi-epitope antigen, the vaccine design scheme is efficient, controllable and broad-spectrum, a theoretical basis and a candidate construct are provided for early research and development of tuberculosis vaccines, and the vaccine is expected to be used for prevention and control of tuberculosis and has positive influence on public health.

This invention discloses a digital isolator circuit with additional delay, including a transmitter circuit that receives a data input signal and generates first and second transmitter output signals, wherein the second transmitter output signal is a delayed version of the first transmitter output signal. Subsequently, an isolation barrier generates the first and second isolation output signals, causing a receiver circuit to generate a data output signal in response to these isolation output signals. By further incorporating a delay circuit in the transmitter circuit to delay the first transmitter output signal and generate the second transmitter output signal, this invention effectively enhances the received signal at the receiver circuit, maintaining the stability of the common-mode signal and the robustness of data transmission. A pulse carrier modulation mechanism is also employed to effectively reduce power consumption, electromagnetic interference, and signal jitter.

This invention discloses a preamble-free access TA synchronization method and apparatus that saves time-domain resources, comprising: coarse search for candidate TAs: selecting multiple TA candidates within a preset range with a fixed step size; signal preprocessing: receiving repeatedly transmitted Msg3 frames and obtaining the frequency domain data corresponding to each TA candidate; parallel soft combining and score calculation: performing channel estimation, equalization, and descrambling on each candidate data in parallel to obtain descrambling LLR soft bits, and accumulating their absolute values ​​to calculate the synchronization score of each candidate; candidate selection and decoding verification: sorting by score and selecting high-scoring candidates for decoding and CRC verification; synchronization confirmation: using the successfully verified TA as the final synchronization quantity. This invention saves preamble time slots and response windows, significantly reducing access latency and resource consumption.

The invention discloses a lithium battery failure mode evaluation method based on multi-physics field simulation. The method comprises the following steps: determining a 3D structure of a soft package lithium ion battery monomer; constructing an electrochemical numerical model and a heat transfer model for simulating the charging and discharging process of the soft package lithium battery; a battery degradation model is established, the SEI film formation and lithium deposition / dissolution states are reflected through an SEI formation equation, a lithium deposition / dissolution equation and a composite film equation, and the electrochemical performance of the composite film is predicted; wherein the electrochemical performance comprises the resistance of the composite membrane, the integral number of electrolyte and the charge health state; building a finite element analysis model based on the 3D structure, and solving the electrochemical performance of the electrode in the charging or discharging process; and obtaining the capacity loss and the aging degree of the soft package lithium ion battery under different working conditions. According to the technical scheme, failure simulation can be carried out by integrating multiple factors, the failure mode of the battery can be evaluated conveniently, and efficient design and optimization of the lithium battery are achieved.

The invention discloses a transmitter circuit with ringing suppression, which is suitable for being applied to a controller area network. The transmitter circuit comprises a controller area network bus driving circuit, a first operational transduction amplifier, a second operational transduction amplifier and a controller area network bus driving circuit, wherein the controller area network bus driving circuit is used for receiving a transmission data signal and generating a controller area network high-level signal and a controller area network low-level signal; the first operational transduction amplifier is used for receiving the controller area network high-level signal; and a second operational transduction amplifier for receiving the controller area network low level signal. A common-mode voltage signal in a dominant state and a control signal are adopted, and when the control signal is at a high voltage level, the first operation transduction amplifier and the second operation transduction amplifier can actively adjust high and low level signals of a controller area network to be consistent with the common-mode voltage, so that the ringing problem on a bus is inhibited and eliminated.

The invention relates to a polarizer design method and device based on dual-path cooperative training. According to the method, an encoder and a prior network are introduced; the method comprises the following steps: jointly mapping a combined feature between a structural parameter and a quality factor of a polarizer and a combined feature between a two-dimensional material parameter and the quality factor of the polarizer to a shared potential space, and in the potential space, enabling a forward decoder and a reverse decoder to cooperatively work, knowledge fusion of forward prediction from parameters to performance and reverse prediction from performance to parameters is achieved by sampling potential vectors, the performance of a known structure can be rapidly predicted, and waveguide parameters can be obtained according to expected performance and two-dimensional material parameters. According to the method, knowledge fusion of forward and reverse design is realized in a shared potential space through a dual-path cooperative training mechanism, so that the problems of high simulation resource consumption and redundant design framework in the traditional polarizer design are effectively solved, and a way is provided for efficient and universal design of the integrated waveguide polarizer.

The invention provides a data structure design method and system based on a business resource model, belongs to the field of petroleum data structure design, and is used for solving the problem of low petroleum data structure determination efficiency in related technologies. According to the method, the high-dimensional data space for expressing the petroleum data can be intelligently determined, then a petroleum data structure design scheme in which the high-dimensional data space is coupled with the actual data dimension and data expression of the petroleum data is determined, and a relatively reasonable petroleum data structure design scheme can be efficiently determined.

The invention provides a gob-side entry driving coal pillar optimal width identification method. The method comprises the following steps: establishing a calculation model of an internal stress field width of solid coal according to geological conditions and mine pressure data of a target working face; establishing an expression of the minimum width of the coal pillar and an expression of the maximum width of the coal pillar on the basis of the calculation model of the internal stress field width of the solid coal so as to determine an optimization search domain of the width of the coal pillar; constructing a fitness function taking the coal pillar width as an optimization variable; and carrying out iterative optimization on the fitness function in the optimization search domain by adopting a PLO algorithm, and outputting the optimal width of the coal pillar. According to the method, the gob-side entry driving coal pillar width design efficiency can be remarkably improved, the problems of experience dependence and low efficiency are solved, the operation process is simple, the evaluation result is reliable, evaluation parameters can be quantitatively described, and the surrounding rock control effect is stable and controllable after the optimization result is applied to field engineering.

The invention provides a broadband fixed insertion phase automatic wiring method and system in a planar microwave circuit, and relates to the technical field of planar microwave circuit design. The invention provides a wiring method based on a sweeping arc (the turning radius is greater than three times of line width) on the premise of giving a plane wiring area, an insertion phase required by a transmission line, a wiring starting point position, a wiring ending point position and the width of the transmission line. The method can be combined with artificial intelligence algorithms such as a genetics algorithm, a reinforcement learning algorithm and the like, and a wiring path of a phase needing to be inserted is automatically given. According to the method, the advantages of broadband and high-performance transmission based on the sweeping arc winding method are exerted, and the problem that routing layout and fixed insertion phase control based on sweeping arc winding are difficult to design and realize under the constraint of a compact layout range is solved. The transmission line wiring designed based on the proposed design method can realize broadband transmission, high phase adjustment precision and efficient design.