58 results about "Design analysis" patented technology

The invention belongs to the technical field of tire engineering design, and discloses an engineering tire belted layer end structure finite element design analysis method and system. Comprising the steps of obtaining and preprocessing tire carcass contour data and initial belted layer parameters, conducting belted layer end parametric modeling on the basis of a standardized tire geometric model, constructing a durability finite element analysis model to obtain a stress-strain distribution field, conducting multi-parameter sensitivity analysis to determine a key influence factor weight matrix, and obtaining a stress-strain distribution field. And optimally designing a belted layer end structure based on the matrix, and finally performing durability verification and evaluation. According to the method, through accurate geometric expression, flexible parametric modeling, accurate performance analysis and multi-objective optimization design, belted layer end stress distribution uniformization and structural rigidity optimization are achieved.

The invention provides a parameterization design method and system for infilled wall-frame flexible connection, and relates to the technical field of parameterization design. The method comprises the following steps: establishing a unitized model of the flexible connection structure, performing performance analysis based on boundary conditions, and forming performance trend data of the unitized model; target boundary condition information is collected, connection structure combinatorial analysis is carried out in combination with unit model performance trend data, and a target initial flexible connection model is formed; and performing overall optimization design analysis on the target initial flexible connection model to form overall analysis result data. According to the method, reasonable parameterization design can be carried out on the flexible connection structure of the concrete frame structure and the masonry filler wall, so that the design efficiency and reliability are improved.

The invention provides a multi-modal knowledge graph generation method and system for hardware design analysis, which break through design, verification and physics, realize information barriers among the three traditional EDA (Electronic Design Automation) fields, perform semantic fusion and association on information from different data fields, create a unified and queriable hardware design knowledge representation, and improve the reliability of hardware design analysis. And a coherent and operable unified knowledge model is formed. A multi-modal design knowledge graph is created by integrating a simulation result (dynamic data) and a physical implementation feature (performance data) into a static structure model, and a comprehensive design model with structure, behavior and performance features is analyzed in a unified framework. An engineer does not need to manually switch between different tools and data formats, but can access all-dimensional information about a static structure, a dynamic behavior and a physical property of a design through a single query interface.

The invention relates to a negative Poisson's ratio metamaterial enhanced seamless expansion joint design analysis method, which comprises the steps of collecting geometric construction parameters and mechanical property data of a negative Poisson's ratio metamaterial, and constructing a training data set; training a deep learning reverse design model and a mechanical property prediction model; the design parameters of the expansion joint device are optimized through a multi-objective optimization algorithm; an optimized expansion joint device is manufactured by adopting a 3D printing technology, the durability of the expansion joint device is evaluated by combining mechanical property data and a fatigue life prediction model, and iterative optimization is performed through a deep learning reverse design model. The expansion joint device has the beneficial effects that the impact resistance and the energy absorption capacity of the expansion joint device are remarkably enhanced through the design of the concave hexagonal honeycomb structure of the negative Poisson's ratio metamaterial and the nonlinear strain energy density model optimization geometric parameters.

The invention relates to the field of radiator design analysis, in particular to a radiator flow channel three-dimensional reconstruction and fluid performance prediction system and a method thereof.The method comprises the steps that a parameter input module receives a radiator three-dimensional model and boundary information and calculates parameters of a flow channel section and an inlet section; the streamline drawing module receives the parameters and calculates and determines starting coordinates and boundary points of a streamline; and the streamline smoothing module is used for smoothing the streamline. The flow channel curved surface gridding module receives the smoothed streamline coordinates, generates a three-dimensional curved surface based on spatial structure points, and performs adaptive non-uniform mesh generation and boundary constraint intelligent mesh optimization; the fluid performance prediction module receives the flow channel curved surface grid, inputs fluid performance analysis parameters and predicts fluid performance; the calculation result output module receives the prediction result, arranges and summarizes the prediction result and outputs the result; and through streamline tracking and smoothing processing, accurate reconstruction of the complex flow channel of the radiator is realized, the modeling precision is improved by more than 40%, and the design accuracy and efficiency of the radiator are improved.

The invention relates to the technical field of image processing, in particular to a classical costume design analysis system based on image recognition, which comprises a pattern structure analysis module, a shape contour modeling module, a color change judgment module, a design system modeling module and a design feature output module. According to the method, by introducing the pattern structure analysis based on the gray scale gradient distribution sequence, the abnormal area in the complex pattern is accurately recognized and positioned, the automation and accuracy of analysis are improved, by recognizing the contour curvature change and the color semantic anomaly, the influence of illumination interference and color gamut shift is solved, and the accuracy of analysis is improved. According to the method, fine analysis of costume patterns and colors is ensured, through multi-dimensional dynamic evolution modeling of patterns, contours, colors and the like, the evolution process of classical costume design can be accurately tracked, key evolution events of design styles and shapes can be accurately positioned, the efficiency and reliability of design analysis are optimized, and the design quality is improved. And the intelligence and precision of classical costume design analysis are comprehensively improved.

The application relates to a pavement design analysis method based on environment load factor space-time synchronous coupling, which comprises the following steps: inputting road environment data and load data into an environment load factor space-time synchronous coupling analysis model to obtain an analysis result; the model establishment process is as follows: obtaining historical data of a road to obtain a pavement performance attenuation model under the coupling action of an environment and a load; obtaining experimental data of the road to obtain a pavement performance attenuation model under the action of the load; obtaining a pavement performance attenuation model under the action of the environment through difference; establishing a general analysis model based on time synchronization; judging whether the general analysis model converges; establishing an environment characteristic model and a load characteristic model of a research area based on the converged general analysis model; bringing the general analysis model based on time synchronization into the environment characteristic model and the load characteristic model to perform space synchronization, and obtaining the environment load factor space-time synchronous coupling analysis model. Compared with the prior art, the application has the advantages of high accuracy, high reliability, strong universality and the like.

The invention provides an aviation equipment connection configuration design method based on an FPS model, and the method comprises the following steps: building a certain aviation equipment connection configuration design model based on the FPS model; analyzing user requirements to obtain required function elements, substituting the required function elements into the configuration library, and outputting a configuration sketch; mapping to a performance layer to obtain a required performance element, output connector performance and a design analysis expression; mapping to a structure layer to obtain a substructure and parameter description thereof; establishing a concept structure model; establishing a connection configuration design process scheme; and substituting parameter requirements, and establishing a configuration mathematical model. The method has the beneficial effects that reference is provided for materialization and refinement of the aviation equipment connection configuration design method, the design period of the aviation assembly connection configuration is shortened, the design efficiency and quality are improved, and the method has important significance on development and progress of aviation equipment.

The application discloses a method for calculating the upper limit of impurity content of nuclear materials of a fusion device, and is used for analyzing the impurity control requirement of materials serving in the nuclear environment of the fusion device. The method is characterized in that: under the service environment conditions and examination requirements of the specified nuclear materials, the main components and the possible impurity elements contained in the materials are simulated, and the control requirement of the impurity elements is determined according to the nuclear response calculation of various normalization indexes. The method can realize the rapid calculation of the upper limit of impurity content of the nuclear materials of the fusion device under the service conditions, and can be applied to the design analysis of the nuclear materials of the fusion device and the fusion device.

The application relates to an artificial intelligence-based software design scheme automatic evaluation method and system, which automatically extracts function entities and architecture topologies in a design document through a multi-modal analysis technology to generate a structured design scheme atlas; performs standardized compliance checking based on an enterprise architecture benchmark library to identify technical specification deviation and component reuse defects; fuses a defect prediction model and a risk quantification mechanism to analyze component coupling degree and historical defect data to generate a risk atlas; combines constraint rules and a similar case library to deduce an executable architecture optimization path; finally, constructs a closed-loop decision chain of technical compliance, risk control and asset reuse to generate a quantitative evaluation report. The application solves the problems of traditional evaluation methods, such as dependence on manual work, low efficiency, non-uniform standards and decision disconnection, realizes full-process automatic evaluation from design analysis to improvement guidance, significantly improves evaluation efficiency and decision accuracy, and guides software architecture optimization decision.

The application discloses a buckling-restrained design analysis method for a steel lining anchoring system, which comprises the following steps: obtaining a node force balance equation based on a steel lining plate constitutive relation and a bolt constitutive relation; obtaining node displacement data based on the node force balance equation, and obtaining strain value data based on the node displacement data; obtaining actual node force of the steel lining plate based on the strain value data and the steel lining plate constitutive relation, and obtaining actual node force of the bolt based on the node displacement data and the bolt constitutive relation; obtaining node force residual based on the node displacement data, the strain value data, the actual node force of the steel lining plate and the actual node force of the bolt; if the node force residual is greater than a threshold value, updating the node displacement data and the strain value data, and continuing to calculate the node force residual until the node force residual is less than the threshold value. The method realizes accurate calculation of a buckling critical load of the steel lining, and provides theoretical support for a containment structure design of a nuclear power plant.

The invention relates to the field of system architecture design, analysis and tradeoff, in particular to a scene-driven model-based system architecture tradeoff method and device. The method comprises the following steps: step 1, constructing a scene evaluation table; 2, establishing a system efficiency tree; 3, carrying out system architecture modeling based on the model; and 4, carrying out model-based system architecture multi-quality characteristic analysis, and identifying sensitive points and risk points. Modifying system architecture elements based on the sensitive points to generate a new architecture, and repeating the steps 3-4; and 5, performing quantitative evaluation and visual analysis on the alternative system architecture. According to the method, based on user requirements and case scenes, the interactive influence between field characteristics of the system and multi-quality characteristics of the system is considered, quantitative evaluation and visual analysis are combined, the confidence coefficient of system alternative architecture tradeoff is improved, the traditional influence on architecture tradeoff based on engineering experience, non-technical factors and the like is reduced, and the subjectivity of an evaluation result is reduced.

The invention provides a control system automatic programming and intelligent testing method and system based on AI design analysis, and relates to the technical field of industrial automation and integrated testing. Performing structured analysis on the deepened design form through an AI large model, and extracting engineering feature data; based on the data, utilizing an automatic tool to synchronously generate a PLC control program and an FAT test program which are adaptive to the target hardware; a program is circulated and deployed to physical equipment through a digital platform, a full-process automatic closed-loop test is executed, a data chain of design, programming and test is broken through, a traditional manual programming and manual test case compiling mode is replaced, source consistency of control logic and test logic is ensured, and the test efficiency is improved. And the system delivery efficiency and accuracy are greatly improved.

This disclosure provides a method and system for large-scale model-assisted logic function simulation and verification for hardware design, relating to the fields of artificial intelligence and hardware design technology. The method includes: performing logical perception analysis on hardware design specifications to generate a structured design analysis report; based on the design analysis report and design specifications, using a generator agent to initially generate a testbench, obtaining an initial test platform and a reference design under test set; simulating the initial test platform and the reference design under test set, and verifying the initial test platform using a consensus verification mechanism based on confidence levels; iteratively refining the test platform using a corrector agent based on a structured reflection report to obtain the final optimal test platform; and automatically generating a retrieval knowledge base precisely aligned with hardware semantics using a reflexive domain knowledge mining method, achieving fully automated construction of the hardware domain knowledge base. This disclosure achieves fully automated system-level hardware design testbench generation and verification.

A method and system for parasitic extraction in semiconductor layouts using localized weighting and a federated learning model. The process involves receiving a layout design of an integrated circuit, generating nodes representing geometrical points, and assigning weights based on node location and material. A self-attention network identifies a subset of nodes for parasitic extraction, generating extraction data linked to physical design patterns. The method incorporates this data into a machine learning model for parasitic extraction, updating the machine learning model with layouts from various process design kits. The system aggregates and converts extraction data into a 2D format for graphical display, enhancing design analysis and prediction accuracy.

In various examples, systems and methods are disclosed related to facilitating automated security analysis. In particular, a security analysis may be performed in association with a software product, or a portion thereof, to identify any potential security risks associated with the software product. To perform code security analysis, various types of code security data may be analyzed for a comprehensive analysis of any potential security risks associated with a product. For example, various stages of product development may be analyzed to facilitate prevention of security breaches in association with a product. In implementation, a design analysis, a design-to-code analysis, and / or a code analysis may be performed to identify potential security risks. Performing such various analyses enables a robust and comprehensive security evaluation of a product from the design to the implementation.

The invention belongs to the field of structural strength analysis, and particularly relates to a mechanism motion fatigue reliability platform construction method. The method comprises the following steps: S1, constructing a database; s2, constructing a key part and failure mode module based on the database; s3, constructing a moving part modeling module based on the database; s4, constructing a moving part stress total spectrum module according to a simulation analysis result of the moving part modeling module; s5, constructing a sensitivity analysis module according to the total stress spectrum of the moving part; s6, constructing a fatigue test evaluation module based on the database; s7, constructing a fatigue life analysis module based on the database and the total stress spectrum of the moving part; and S8, constructing a life evaluation module based on a fatigue test evaluation result and a fatigue life analysis result. According to the mechanism motion fatigue reliability platform construction method, an integrated design analysis framework is provided, and a method and means are provided for durability design of aircraft motion parts and construction of an analysis platform.

The invention belongs to the field of rectangular sawtooth fin performance simulation, and relates to a rectangular sawtooth fin heat exchange flow resistance performance test acquisition system and a simulation method. Comprising a flow resistance test unit, a heat exchange test unit and a heat source. Basic data are acquired through a rectangular sawtooth fin heat exchange flow resistance performance test acquisition system, and then heat exchange flow resistance simulation simplification is carried out on the rectangular sawtooth fin through a porous medium. The error between the result of the simulation simplification method and the test result of the plate-fin cold plate and the heat exchanger can be controlled within 10%, the requirements of engineering design analysis can be met, and simulation technical support is provided for scheme design accuracy and rapid iteration.

The invention relates to the technical field of dynamics, and discloses a turbulence separation quantitative analysis method and device, electronic equipment and a storage medium. The method comprises the steps that on the basis of CFD simulation, the turbulence energy change gradient of each turbulence separation key area is extracted so as to identify a turbulence separation boundary; based on the molded surface grids in the turbulent flow separation key area, calculating the central point turbulent energy of each molded surface grid through interpolation; traversing the profile grid to compare the turbulence energy of each central point with the turbulence energy value of the turbulence separation boundary, and further determining a turbulence separation problem area; and executing at least one turbulence separation scheme improvement according to the type of the turbulence separation problem area. According to the method, a set of flow separation area quantitative analysis standard process based on turbulent kinetic energy can be provided for engineering designers, the occurrence frequency of the phenomena of failure of an improved scheme and repeated modification of the scheme can be reduced, the design analysis cost is reduced, the overall scheme design of a project is kept, the period is stably promoted, and the design efficiency and quality are improved.

This invention belongs to the field of adaptive difficulty analysis and design for competitive games, and discloses a method, system, device, and storage medium for designing and analyzing action games. By constructing a behavioral feature dataset and evaluating habitual confidence levels, this invention can accurately grasp players' behavioral habits during combat, providing a reliable basis for subsequent difficulty adjustments and solving the problem of insufficient player behavior analysis in existing technologies. Based on a large amount of test data and objective classification logic, this invention constructs a mapping relationship between competitive actions and difficulty, making the difficulty classification more consistent with players' actual experiences and overcoming the shortcomings of unscientific difficulty classification in existing technologies. This invention achieves autonomous adjustment of the difficulty of simulated character combat actions by evaluating player adaptability and analyzes the rationality of the adjustment to ensure that the difficulty adjustment is suitable for players, improving game playability and player experience, and making up for the lack of autonomy and rationality evaluation in tactical adjustments in existing technologies.

The application relates to the technical field of engine NVH analysis, in particular to a knocking noise optimization method of an engine piston and an engine. The knocking noise optimization method comprises the following steps: determining a knocking sound energy threshold of the piston and a vibration acceleration threshold of a cylinder body according to a pre-stored knocking sound energy database of each engine type; performing bench testing on a test engine to obtain the knocking sound energy of a piston knocking characteristic frequency band and the vibration acceleration of the cylinder body; establishing a one-dimensional multi-body dynamics model of the test engine; inputting a working condition in which the piston knocks into the one-dimensional multi-body dynamics model as a boundary condition; selecting multiple optimization design parameters, performing single-factor sensitivity analysis on each optimization design parameter, and obtaining a plurality of key influence factors affecting the piston knocking noise; performing full-factor test design analysis on the plurality of key influence factors, and selecting a parameter combination with the smallest knocking power and the vibration acceleration smaller than the vibration acceleration threshold as an optimization scheme.

The application is a kind of urban elevated road design method considering low environmental impact of the periphery; including collecting relevant technical data of the elevated bridge and its periphery; through the multi-lens carried by the unmanned aerial vehicle, a three-dimensional real scene model of the urban elevated design area is established; according to the bridge and road design specification, the urban elevated BIM three-dimensional model is established under the three-dimensional real scene model, the urban road plane route selection is satisfied, the plane needs are determined, and the longitudinal and transverse section design analysis is carried out; the low sunshine environmental impact analysis of the urban elevated is carried out in the dense area of the buildings around the urban elevated. The technical innovation creatively applies the building sunshine analysis method to the urban elevated road design, which can effectively solve the influence of the urban elevated road design on the surrounding buildings, especially the sunshine environment of the residents, and the urban elevated road designed by the method is more coordinated with the surrounding environment.

A design engine automatically generates designs for multi-family housing projects that simultaneously meet local construction regulations while also meeting specific financial targets. The design engine includes a design analyzer, a site analyzer, a design generator, and a design evaluator. The design analyzer generates design trends based on a historical database of designs. The site analyzer generates design criteria based on relevant construction regulations. The design generator generates design options that reflect the design trends while also adhering to the construction regulations. The design evaluator then analyzes the design options and generates various design metrics. Based on the design metrics, the design generator generates additional design options that better meet the design criteria.

The present disclosure provides a dynamic toolpath optimization system for an additive manufacturing machine. The system comprises an input reception unit to receive user-provided information comprising three-dimensional (3D) geometric design data of an object and material composition details; a design analysis component utilizing a first artificial intelligence technique to determine an effective toolpath for each layer; a monitoring unit that monitors quality control metrics and current manufacturing conditions and a machine learning analysis unit that accesses a historical database to generate one or more artificial intelligence (AI) models. The system further comprises a toolpath optimization unit utilizes the generated AI models to process monitored quality control metrics and current manufacturing conditions to identify flaws and determine a toolpath optimization strategy and a control unit dynamically regulates the additive manufacturing machine based on the determined toolpath optimization strategy.

This application belongs to the field of ultra-high-speed electromagnetic launch design analysis, specifically disclosing a design method for a wound-type electromagnetic launch system. The method includes: analyzing the electromagnetic performance of the wound-type electromagnetic launch system based on its thrust model to determine a first selection strategy for the capacitor in the system's excitation source; analyzing the system thrust, capacitor discharge in the system's excitation source, and changes in the pulse power device current to determine a second selection strategy for the number of turns in the drive coil and the number of turns in the launcher's armature coil; performing parameter selection analysis on the repetitive peak voltage, pulse peak current, critical rate of rise of the on-state current, and current pulse width of the system's excitation source to determine a third selection strategy for the pulse power device in the system's excitation source; and designing the wound-type electromagnetic launch system based on the first, second, and third selection strategies. This application enables the efficient and high-precision rapid design of wound-type electromagnetic launch systems.

1. The name of the present design product: graphical user interface for step tread design analysis of escalator. 2. The use of the present design product: for displaying graphical user interface and human-computer interaction. 3. The design points of the present design product: in graphical user interface. 4. The picture or photo that best shows the design points: front view. 5. The design points of the present design product are in graphical user interface, other views are omitted. 6. The use of the graphical user interface: for analyzing the meshing clearance of adjacent step tread of escalator. 7. The change state description of the graphical user interface: front view, select the "Method 2: Batch Calculation" option in the front view, then click the "Confirm" button under "Method 2: Batch Calculation", then select the "0.2mm" option or "0.8mm" option or "1.6mm" option or "3.2mm" option under "Curve Point Precision", then click the "Calculate Coordinates" button under "Curve Point Precision", switch to interface change state figure 1. Interface change state figure 1, select the "Method 1: Calculate Arc Curve Equation According to Sample Point Coordinate Value" option in interface change state figure 1, switch to interface change state figure 2. Interface change state figure 2, select the "Manual Input Sample Point Position" option under "Sample Point Method" in "Method 1: Calculate Arc Curve Equation According to Sample Point Coordinate Value" in interface change state figure 2, then select the "Adjust X Distance" option and / or "Adjust Y Distance" option, then input the corresponding numbers in the input boxes under "Sample Point Number, Coordinates" in "Method 1: Calculate Arc Curve Equation According to Sample Point Coordinate Value", finally click the "Calculate Curve" button in "Method 1: Calculate Arc Curve Equation According to Sample Point Coordinate Value", switch to interface change state figure 3. Interface change state figure 3, click the "Clearance Analysis" tab at the top of interface change state figure 3, switch to interface change state figure 4. Interface change state figure 4, select the "Batch Calculation" option in "Calculate Step Tread Clearance" in interface change state figure 4, then click the "Clearance Calculation" button under "Batch Calculation", switch to interface change state figure 5. The interface change state diagram 5, check the "effect evaluation" under the "horizontal statistics" option, "vertical statistics" option, "mark data less than ____ mm as orange" option and "mark data greater than ____ mm as purple" option in the interface change diagram 5, and then fill in the minimum gap value in the space of the "mark data less than ____ mm as orange" option, and fill in the maximum gap value in the space of the "mark data greater than XX mm as purple" option, and then click the "analysis rating" button under "effect evaluation" to switch to the interface change state diagram 6. The interface change state diagram 6, click the "preferred design" tab at the top of the interface change state diagram 6 to switch to the interface change state diagram 7. The interface change state diagram 7, check the "batch preferred design curve" option in the interface change state diagram 7, and then input the corresponding number in the "X coordinate point distance ____ mm" input box under "value precision", and then click the "interval setting" button and the "gap summary" button in turn to switch to the interface change state diagram 8. The interface change state diagram 8, check the "data analysis" under the "mark data with minimum gap (Min) greater than XX mm as cyan" option, "mark data with maximum gap (Max) less than XX mm as orange" option and "mark data meeting the above two conditions as green" option in the interface change state diagram 8, and then fill in the minimum gap value in the "mark data with minimum gap (Min) greater than XX mm as cyan" option, and fill in the maximum gap value in the "mark data with maximum gap (Max) less than XX mm as orange" option, and then click the "preferred data" button under "data analysis" to switch to the interface change state diagram 9. The interface change state diagram 9, check the "verify preferred parameters" under the "cutting kickboard arc design parameters" option in the interface change state diagram 9, and then click the "verify parameters" button to switch to the interface change state diagram 10.

The present application relates to the technical fields of gearbox design analysis, and discloses a gearbox weak shaft position analysis method, an optimization design method and a gearbox. The gearbox weak shaft position analysis method comprises the following steps: three-dimensional modeling of a fixed shaft gearbox; calculating the radial displacement of each transmission shaft of the fixed shaft gearbox under each working condition, and determining whether the transmission shaft with the maximum radial displacement among all the radial displacements is a weak shaft I; calculating the gear pair misalignment amount of each gear pair of the fixed shaft gearbox under each working condition, and determining the maximum gear pair misalignment amount, and determining whether the transmission shaft with the greatest contribution amount to the gear pair misalignment amount among the contribution factors of the maximum gear pair misalignment amount is a weak shaft II; and determining whether the gearbox has a weak shaft according to the judgment result of step two and the judgment result of step three. The radial displacement of each transmission shaft and the misalignment amount of the gear pair of the gearbox under different working conditions are considered, and the accuracy of the weak shaft position analysis of the gearbox is improved.

The application relates to a performance intelligent master control method based on stage design analysis, which comprises the following steps: receiving stage structure data and performing analysis and processing, constructing a stage overall three-dimensional structure model through a three-dimensional modeling algorithm; based on expected performance effect parameters, an initial master control scheme of light, sound, machinery and video multi-system linkage is intelligently generated by adopting a multi-target collaborative optimization algorithm; audience feedback data is collected in real time through a multi-modal sensing array, an audience emotion time sequence curve is generated through emotional semantic analysis, the emotion curve is embedded into a reinforcement learning reward function as a feedback variable, the initial master control scheme is subjected to human-computer emotion coupling optimization, and an optimized master control strategy with enhanced emotional resonance is formed; through machine learning algorithm, multi-physical field coupling simulation deduction and multi-target optimization are performed on a performance process, an executable master control strategy is formed and output to a performance execution system. The application has the effect of improving the control precision of stage performance.

The invention discloses a roof weakening system based on blasting-hydraulic fracturing and effect manifestation. The roof weakening system comprises a design analysis module, a drilling construction module, a slotting and blasting module, a hydraulic fracturing and manifestation module, an effect manifestation monitoring module and a data acquisition and evaluation module. Designing an analysis module, and generating a quantitative benchmark; the drilling construction module is used for constructing a pre-splitting blasting hole and a guide hole; the slotting and blasting module is used for executing slotting and blasting operation; the hydraulic fracturing and manifestation module is used for executing segmented packing and high-pressure water injection; the effect display monitoring module is used for monitoring water outlet data of the target observation hole; and the data acquisition and evaluation module is used for analyzing data of the hydraulic fracturing and manifestation module and the effect manifestation monitoring module, calling a quantitative benchmark and outputting an evaluation result. The invention further discloses a top plate weakening method based on blasting-hydraulic fracturing and effect manifestation. The problem that in an existing roof weakening technology, the pressure relief effect of the blasting technology and the pressure relief effect of the hydraulic fracturing technology are difficult to verify visually and quantitatively in real time is solved.

The invention discloses a design parameter optimization method and device for a steam cooling type current lead, terminal equipment and a storage medium, and belongs to the field of steam cooling type current leads, and the method comprises the steps: setting a first heat leakage value, a preset low-temperature end temperature and an ideal high-temperature end temperature; obtaining a plurality of candidate current leads with different design parameter values; according to the first heat leakage value, the preset low-temperature end temperature, the candidate design parameter value and the current candidate current lead, heat leakage value correction operation is repeatedly executed until the error value between the corrected high-temperature end temperature and the ideal high-temperature end temperature is smaller than a preset threshold value, and the actual heat leakage value is obtained; according to the actual heat leakage value of each candidate current lead, the fitness of the design parameter value combination corresponding to each candidate current lead is calculated, and a target design parameter value is screened out according to the fitness of each design parameter value combination. By implementing the application, the problem that the design analysis of the steam-cooled current lead and the actual working condition have large deviation in the prior art can be solved.