489 results about "Structural reliability" patented technology

The invention relates to the technical field of strength detection, and discloses radiator strength detection equipment and a detection method. The method comprises the following steps: carrying out adaptive wavelet denoising and structural association mapping on collected multi-scale structural feature data and multi-environment coupling material feature data of a radiator to be detected, and carrying out multi-dimensional feature extraction, space-time alignment and interactive mapping on an obtained fusion data set to obtain a multi-physical field coupling data matrix; carrying out physical field control equation set separation iteration solution and heat dissipation cyclic load and environmental action calculation on the coupling data matrix to obtain a damage evolution state; and performing multi-dimensional damage sensitive area identification based on the damage evolution state, generating a risk distribution map, performing failure comparison and life calculation based on historical failure data of the same type of radiators, and generating an intensity comprehensive detection result. Through multi-physical field coupling analysis and multi-dimensional damage evaluation, accurate detection of the strength state of the radiator is realized, and the accuracy of structural reliability evaluation is improved.

The invention relates to steel box girder high-strength bolt operation, in particular to a high-strength bolt automatic tightening machine based on machine vision positioning and a tightening method. The automatic tightening machine for the high-strength bolts is used for automatically tightening the bolts of the steel box girder and comprises a multi-shaft moving support, a tightening assembly and a control unit. The multi-axis moving support achieves plane movement of a steel box girder top plate through a servo-driven moving part, a multi-axis support provides three-dimensional space freedom, and the tightening assembly is driven to accurately adjust the posture. The tightening assembly adopts a double-station design, a first tightening head and a second tightening head which are symmetrically arranged on the two sides synchronously move through a door frame type lifting shaft, the image obtaining set is combined to collect position and posture data of a nut and a screw in real time, and a three-dimensional motion path is generated to guide centering. The control unit coordinates multi-axis motion and torque output based on machine vision feedback, full-process automation of the bolt from recognition, positioning to tightening is achieved, the problems that manual operation is low in efficiency and large in error are solved, and screwing precision and structural reliability are ensured.

The invention discloses a flood plain shallow-buried unsymmetrical-pressure multi-arch tunnel excavation stability evaluation method, and relates to the technical field of tunnel stability evaluation, and the method comprises the following steps: obtaining the geological conditions of a tunnel excavation area through on-site survey and drilling, and evaluating the groundwater emission amount and the inrush probability in combination with historical data; and basic data support is provided for subsequent risk modeling. According to the method, through geological and hydrological survey and a numerical model, the high-risk inrush area and the water pressure distribution are accurately predicted, the risk identification and early warning precision is effectively improved, and a scientific basis is provided for support design. Optimized design of the supporting structure is combined with real-time monitoring and dynamic adjustment, construction safety is guaranteed, and meanwhile structural reliability and economical efficiency are both considered.

The lightweight design method for the steel-concrete combined wind power tower drum based on the topological optimization algorithm comprises the steps that S1, a multi-physics field coupling model of the steel-concrete combined wind power tower drum is constructed, and coupling parameters are determined; s2, material layouts of the steel-concrete combined wind power tower drum on the macro scale and the micro scale are obtained, and multi-scale collaborative optimization is carried out by dynamically adjusting scale parameters; s3, constructing a material distribution strategy, determining the distribution form and orientation of a steel material in a tension area and a compression area of the tower drum, and reasonably configuring a concrete material; s4, predicting tower performance under different design variables through the deep neural network model; and S5, performing multi-target evaluation on the optimized steel-concrete combined wind power tower drum design scheme, and determining a lightweight design scheme by constructing a comprehensive evaluation function and weighing the relationship between targets. According to the method, on the premise that the mechanical property and the structural reliability of the wind power tower drum are guaranteed, accurate regulation and control and lightweight design of material distribution are achieved.

The invention relates to the technical field of medium and small span bridge construction and control, in particular to a precast beam size matching method and system based on a three-dimensional laser scanner, and the method comprises the steps: obtaining precast beam point cloud data, carrying out the preprocessing of the precast beam point cloud data, carrying out the registration of the preprocessed precast beam point cloud data with a BIM model, and obtaining the size of a precast beam. The automatic detection of the structure size is realized; then, by obtaining interface angular points of the precast beams, conducting virtual splicing by aligning the cross section angular points of the adjacent precast beams, simulating the field splicing process and obtaining key construction details, accurate and reliable data support is provided for follow-up construction, it is ensured that each beam section can conform to design specifications during splicing, and therefore potential safety hazards are reduced; the controllability and scientificity of the construction process are improved, the construction efficiency is improved, the construction period is shortened, the service life of the bridge structure is prolonged, and the structural reliability is improved. The problems of low precast beam parameter detection efficiency, high operation difficulty and low accuracy in the prior art are solved.

The invention discloses a self-adaptive variable impedance algorithm for hydraulic four-foot support unloading, which comprises the following specific steps: step 1, single-cycle variable impedance control: introducing a variable impedance control strategy in a single-step cycle, judging that a robot is subjected to large impact when a large force change rate is detected by a force sensor, and judging that the robot is subjected to large impact when the force change rate is larger; at the moment, expected force is rapidly adjusted to achieve force unloading, and therefore impact damage to structural parts is reduced; step 2, dynamic impedance coefficient adjustment: when it is detected that the impact force change rate exceeds a preset threshold value or the speed is increased, the impedance coefficient is dynamically reduced to reduce rigidity and improve flexibility, and rapid force unloading is assisted; and step 3, performing impact detection and real-time response. The hydraulic quadruped robot can dynamically adapt to complex tracks and stress changes, compliant control and whole-course stable operation are achieved, the unloading efficiency and the structural reliability are improved, the compliance and the movement capacity are also considered, and reliable support is provided for efficient walking of the hydraulic quadruped robot in the complex environment.

The invention discloses a ship heat exchanger heat transfer performance simulation method, particularly relates to the field of heat transfer, and comprises the steps of multi-source data acquisition, characteristic parameter calculation, heat transfer stability diagnosis, comprehensive heat transfer degradation evaluation, structure reliability prediction and system efficiency comprehensive evaluation. Multi-dimensional data synchronous acquisition is realized through a multi-source sensor network, a dynamic coupling analysis model is constructed to accurately calculate the heat transfer stability and the comprehensive degradation index, a three-level early warning mechanism is established to improve the state evaluation accuracy, turbulence attenuation characteristics and vibration data are fused to predict the structural reliability, and the reliability of the system is improved. And closed-loop management and control is formed by combining an efficiency index triple evaluation system, so that the spanning from single alarm to preventive maintenance is realized, the health management capability of the system is comprehensively enhanced, and full-life-cycle dynamic optimization support is provided for the ship heat exchanger.

The invention discloses a bridge support column structure reliability design evaluation method, and relates to the technical field of bridge design evaluation, and the method comprises the steps: obtaining a first modeling data set based on a bridge support column structure design drawing, and building a to-be-evaluated three-dimensional model and a finite element model; generating a first simulated traffic flow, performing simulation by applying a load to obtain standard state stress data, and performing screening to obtain a key stress surface; the statically-determinate structure creep force of the key stress surface is calculated, and the evaluated damage life is obtained through calculation based on the statically-determinate structure creep force; generating a second simulation traffic flow, performing simulation to obtain offset state stress data of the key stress surface, and performing calculation based on an offset nonlinear regression equation to obtain anti-offset reliability; establishing an anti-impact reliability performance function, generating a simulation impact combination through a Monte Carlo algorithm, and determining an anti-impact reliability simulation value; and based on the anti-offset reliability and the anti-impact reliability, a fusion robustness value is obtained through calculation, and threshold judgment is carried out to obtain an evaluation result.

The invention discloses a construction method of a bridge member safety knowledge graph based on multi-category monitoring information and hidden danger information, and relates to the technical field of bridge structure safety monitoring, and the method comprises the steps: determining a structure reliability index as a representation index of bridge structure safety, building a two-dimensional collaborative analysis system based on monitoring items and hidden danger items, and obtaining a bridge structure safety knowledge graph; building a multi-source data fusion structure reliability analysis framework by taking a structure reliability index as a final analysis purpose; based on a structure reliability analysis framework, a four-layer ontology model comprising a structure physical layer, a damage monitoring layer, a reliability assessment layer and an auxiliary decision-making layer is designed through Protege software, a knowledge graph is formed, a knowledge representation path of bridge structure safety assessment decision is established, and timely dynamic update and reliable maintenance decision of a bridge structure safety state are realized. According to the method, the knowledge graph is constructed through the four-layer ontology model with the causal conduction mechanism, and a knowledge representation path capable of systematically analyzing the safety of the bridge structure is formed.

The invention discloses a flexible structure 3D printing support control method combined with a resistor, and relates to the technical field of 3D printing, and the flexible structure 3D printing support control method comprises the following steps: generating a continuous density field and a dynamic damping parameter field of a support structure based on multi-target topological optimization of dynamic stiffness constraint and material distribution; quantifying the contact probability of the support structure and the target model through a membership function, and constructing a nonlinear gradient field of a contact interface; the stress coupling relation between the supporting structure and the model interface is defined based on the mixed constitutive tensor, the interface stress transfer coefficient is adaptively updated based on the material shrinkage rate difference, multi-physics field collaborative optimization is achieved in combination with regularization constraint, the key part of the supporting structure is recognized, and the resistor is integrated to the key part of the supporting structure. Through multi-target topological optimization, membership construction and adaptive stress transfer coefficient updating, the material consumption is reduced, the printing efficiency is improved, stress concentration at an interface is inhibited, the forming defect risk is reduced, and the structural reliability is improved.

The invention provides a finite element analysis method for a competition-level site cross-country motorcycle frame, and belongs to the technical field of crossing of computer-aided engineering and vehicle structure design. The method comprises the following steps: performing parametric modeling on a frame main bearing structure based on CATIA software, and simplifying non-functional characteristics; importing the model into ANSYS Workbench, generating a high-precision finite element model by adopting a grid division strategy of mixing tetrahedron and hexahedron units, and considering the calculation efficiency and precision; defining material characteristics; a limit load working condition is simulated through statics analysis, a displacement cloud picture and a stress cloud picture are combined to be compared with the yield strength of a material, and topological optimization is conducted on a weak area; meanwhile, the inherent frequency of the frame is extracted through modal analysis, and the resonance risk is avoided. According to the method, statics analysis and modal analysis are carried out on the frame through cross-platform co-simulation, the structural reliability is evaluated, and the method is suitable for efficient development and performance optimization of competition-level cross-country motorcycle frames.

The present invention relates to the technical field of surgical robots, and discloses a mounting mechanism and a surgical robot. The mounting mechanism is used to install a poking mechanism, and a mounting part is protruding from the poking mechanism. The mounting mechanism includes a mechanism body, an adapter, and a movable part. One end of the mechanism body is used to connect with the mechanical arm, and the other end is provided with a mounting channel; the adapter includes a receiving part, the receiving part is placed in the mounting channel and can be separated from the mounting channel through the opening of the mounting channel, one end of the receiving part is open, and the mounting part can enter or separate from the inner cavity of the receiving part through the opening of the receiving part, and a clamping part is movably provided on the side wall of the receiving part; the movable part is placed in the mounting channel and movably connected to the mechanism body, and when the mounting part is in the inner cavity of the receiving part, the movable part can push the clamping part to move toward the inner cavity of the receiving part to press against the mounting part. The present invention improves the structural reliability of the adapter, ensures surgical safety, reduces the processing and assembly requirements of the mounting mechanism, and reduces production costs.

The invention relates to the technical field of structural reliability analysis, in particular to an adaptive structural reliability analysis method based on a Co-kriging proxy model, which comprises the following steps: determining a structural failure mode, acquiring corresponding high-fidelity and low-fidelity performance functions and inputting distribution information of variables; a high-fidelity sample set and a low-fidelity sample set are obtained through sampling; obtaining responses corresponding to the two fidelity samples, and constructing a Co-kriging agent model; carrying out structural reliability analysis by utilizing a Monte Carlo simulation method, and calculating a failure probability of each iteration; judging whether a convergence condition is met; adding new sample points into the training set by using a learning function, constructing a Co-kriging proxy model, and obtaining a final failure probability; according to the method, the Co-kriging proxy model is combined with the learning function MPO (x, m), multi-precision sample data can be fused, and on the premise that it is ensured that the failure probability estimation result has high precision, the calculation process is optimized, unnecessary calculation resource consumption is effectively reduced, and the overall calculation cost is remarkably reduced.

The invention belongs to the technical field of gearbox shaft end sealing, and particularly relates to a motor vehicle shaft end double-blade sealing device and a shaft end sealing design method.The method comprises the following steps that S1, working condition parameters are determined; s2, designing a double-blade impeller; s3, designing a sealing structure; and S4, outputting a design result. The sealing effect is good, the double-blade impeller and the staggered labyrinth seal are combined, and the sealing performance of the shaft end of the gearbox is effectively improved; the operation and maintenance cost is reduced, and the operation and maintenance interval can be effectively prolonged and the operation and maintenance investment is reduced; the reliability is high, a non-contact sealing mode is adopted completely, and the reliability of the double-blade impeller structure is high; and the design and three-dimensional modeling work of the shaft end sealing device can be automatically completed according to the determined environmental parameters and boundary dimension requirements, and a user can complete the design adjustment work of the shaft end sealing device through one key based on reliability redundancy.

The utility model relates to the technical field of building construction, in particular to a disassembly-free bottom die steel bar truss floor support plate abutted seam node which comprises a plurality of floor support plates, a steel bar truss is arranged on the top of each floor support plate, the two opposite sides of each floor support plate extend upwards to be provided with folding parts, and the folding parts are connected with the floor support plates. A cover plate is arranged between every two adjacent floor bearing plates, the cover plates are located above the floor bearing plates, the bottoms of the cover plates are provided with covering grooves, the covering grooves are matched with the two adjacent folded parts, and a plurality of fixing ribs are laid on the tops of the cover plates in the length direction of the cover plates at intervals. And each fixing rib is fixedly connected between the two adjacent steel bar trusses. The floor support plate has the effects of reducing the possibility of slurry leakage and improving the structural reliability and stability of the whole floor support plate.

The invention discloses an offshore wind turbine supporting structure reliability evaluation method based on a reduced-order digital twin model, and the method comprises the steps: obtaining the response data of an offshore wind turbine supporting structure through multi-dimensional load analysis; and finally, setting a limit state function of the offshore wind turbine support structure in an extreme state, and calculating the failure probability of the offshore wind turbine support structure through a first-order reliability method under the condition of combining response data of the offshore wind turbine support structure so as to evaluate the reliability of the offshore wind turbine support structure. According to the method, the problems of insufficient model precision, calculation efficiency bottleneck, reliability evaluation limitation and the like of an existing reliability evaluation method for the offshore wind turbine supporting structure can be solved, and the requirements of offshore wind power engineering for high precision, high efficiency and comprehensiveness of reliability evaluation of the supporting structure can be met.

The invention discloses a three-fulcrum engine compact type main load-bearing structure rigidity design method and application, and the method comprises the steps: firstly, carrying out the iterative optimization design of the determined rotor structure fulcrum rigidity, and determining the rigidity of each fulcrum; secondly, the static strength of the initial stator assembly and the stiffness of each fulcrum are analyzed, if the static strength and fulcrum stiffness requirements are not met, the stator assembly is optimized, and a stator assembly structure determined for the first time is obtained after optimization is completed; then, the coaxiality of all supporting points of the stator assembly determined for the first time is analyzed, if the requirement is not met, the main bearing structure is optimized, and a stator assembly structure determined again is obtained after optimization; finally, static strength and fulcrum rigidity analysis is conducted on the stator assembly determined again, if the requirements are met, the final stator assembly structure is obtained, and if not, iterative optimization is conducted. The vibration performance and the structural reliability of the whole machine can be remarkably improved, and the method is suitable for engineering design of aero-engines, gas turbines and the like.

The invention discloses a stirrup assembly type concrete beam column structure, which relates to the technical field of building structures and comprises a prefabricated lower column, a prefabricated upper column, a left superposed beam and a right superposed beam, the prefabricated lower column, the prefabricated upper column, the left superposed beam and the right superposed beam are distributed in a cross-shaped beam column structure; unique double-spiral stirrup configuration is applied to the column body, so that the torsion resistance and the bearing capacity are enhanced; the longitudinal bars and the stirrups are reasonably arranged on the superposed beam, so that the bending resistance and the shearing resistance are guaranteed. At the joint, the T-shaped channel steel plates, the fixing blocks and the hinged tension connecting rods form an energy dissipation system, and earthquake energy is effectively dissipated. The column body connection adopts the combination of a full-grouting nodular cast iron sleeve and a frame-shaped steel belt, and is matched with a post-pouring laminated layer to realize rigid connection. The limiting mechanism anchors a T-shaped channel steel plate through a double-end pull rod and a self-locking nut, a limiting clamping plate and a torsion spring form anti-pulling self-locking, the anti-seismic property of the joint is enhanced by combining a hinged tension connecting rod, and the structural reliability is improved.

The invention provides a structure reliability analysis method based on an adaptive variable fidelity model, and the method comprises the steps: generating an initial sample point set which is uniformly distributed and has representativeness through an improved random sampling method KMODMC, enabling the initial sample point set to comprise a low-fidelity sample set and a high-fidelity sample set, training a BP neural network through employing the low-fidelity sample set, and carrying out the training of the BP neural network through employing the high-fidelity sample set; a low-fidelity BP neural network model is obtained; meanwhile, based on an error training Kriging model of a high-fidelity sample set and a low-fidelity model predicted value, an error correction Kriging model is constructed, the low-fidelity BP neural network model and the error correction Kriging model are combined to form a multi-fidelity mixed agent model, and adaptive iterative optimization is performed through a double-model alternate point adding sampling strategy. And finally obtaining a high-precision multi-fidelity hybrid agent model for structural reliability evaluation. According to the method, the problems of high cost of high-fidelity simulation calculation and insufficient precision of a low-fidelity model are solved, and the adaptive capacity and prediction precision of the model in a complex nonlinear problem are effectively improved.

The glass curtain wall structure is characterized in that two sides of the front end of an aluminum vertical frame extend forwards and are provided with connecting grooves, and an inserting cavity is formed between the connecting grooves in the two sides; the curtain wall glass is arranged in the glass mounting area on the front side of the connecting groove; the base is fixedly installed in the inserting cavity, so that the turned edges on the two sides are correspondingly buckled and clamped at the inner end of curtain wall glass, when the inserting groove of the inserting piece is installed on the boss in a matched mode, the inserting groove and the boss are combined together to form a bearing body, the buffering blocks on the two sides are installed in the buffering cavity in a matched mode, and the pressing plates on the two sides correspond to the turned edges on the two sides. And the decoration strip is fixedly connected to the bearing main body structure through a bolt. Through structural integration and multi-stage buffering and damping design, the impact resistance and structural reliability of the glass curtain wall are remarkably improved while the decoration effect of the glass curtain wall is ensured, and the service life of a curtain wall system is effectively prolonged.

The invention belongs to the technical field of mechanical truss structure reliability quantitative analysis, and relates to an evaluation method and system for quantifying the reliability of a mechanical truss structure based on nested integration, and the method comprises the steps: generating an initial moment integral of a reliability parameter of the mechanical truss structure; establishing a continuous nested integral model for quantifying the reliability of the mechanical truss structure, and outputting a nested integral rule; and calculating a numerical integration form of the reliability parameters of the mechanical truss structure according to a nested integration rule to obtain reliability evaluation of the mechanical truss structure. According to the method, continuous nested integral nodes and weights of any probability density function for mechanical truss structure reliability parameters are generated, unknown variable values such as nested integral nodes, nested integral weights and integral nodes are obtained by solving a minimization problem, and small singular values and numerical error influences are reduced by using regularization; and a nested integral rule with the highest polynomial algebraic precision under any probability density function can be obtained, and the stochastic analysis problem in the mechanical truss structure response can be effectively solved.

The utility model discloses a large-scale overground spliced combined culture tank structure, which comprises an upper tank body and a lower tank body, the upper tank body is formed by sequentially splicing and enclosing a plurality of splicing plates according to the circumference, the side surfaces of every two adjacent splicing plates are mutually clung and fixed, and a mounting opening is formed at the bottom of the upper tank body; the lower tank body is in the shape of an inverted cone and seals the mounting opening in a buckled mode, the bottom face of each splice plate is tightly attached to and fixed to the top face of the lower tank body, and a drainage elbow and a filter screen are further arranged at the inverted-cone-shaped cone end of the lower tank body; obviously, the breeding tank adopting the splicing combination mode can be conveniently processed and manufactured regardless of the size, and is also extremely convenient to store, transport, carry and construct; meanwhile, various auxiliary accessories can be directly installed on the splice plates in advance, the trouble of follow-up climbing installation is avoided, and the hidden danger of installation is eliminated; in addition, reinforcing structures such as reinforcing ribs are integrally formed on the outer surfaces of the splice plates and the lower tank body in a rotational molding mode and then are connected into a whole after being assembled, the structural strength can be guaranteed, and the structural reliability can be improved.

The invention relates to the technical field of hydroelectric power generation equipment structure reliability evaluation, and particularly provides a water turbine top cover bolt time-varying reliability evaluation method and device based on parameter sensitivity analysis. According to the technical scheme provided by the invention, key variables are highlighted through parameter sensitivity analysis, and the response surface method and Monte Carlo simulation are combined, so that the calculation efficiency is remarkably improved while the precision is ensured, and the reliability evolution rule of the bolt in the whole life cycle can be scientifically represented; and an important basis is provided for maintenance decision and structure optimization of the water turbine top cover bolt.

The invention discloses a structural reliability active learning method based on a Monte Carlo dropout neural network, and solves the problem that a large amount of time-consuming finite elements still need to be called to analyze and calculate a limit state function when a high-dimensional strong non-linear problem is processed in an existing method. And an active learning process in each iteration is guided by utilizing a predicted mean value and a standard deviation. New samples which are close to a limit state curved surface and have significant uncertainty are identified and selected to be used for updating the proxy model, so that the precision and reliability of the model are gradually improved. In addition, the integration technology of the MC-dropout neural network is adopted to estimate the failure probability, and the analysis accuracy is further improved. In order to ensure effective proceeding of the active learning process, two convergence criteria are also introduced to judge when to terminate the learning process. The method is also suitable for structural reliability analysis.

The invention provides a product structure safety evaluation method considering detection probability, which comprises the following steps of: automatically establishing a product finite element model in batches under different defect distribution by adopting a Monte Carlo method by constructing a joint probability model fusing defect existence probability and nondestructive testing detection probability indexes; calculating M integral and regularization damage parameter pi of the model under each defect distribution condition by combining material configuration mechanical energy intensity indexes, determining the influence rule of uncertainty on intensity index probability distribution, and establishing the incidence relation among the random defect distribution condition of the product, the mechanical performance and the structural reliability; and effective analysis and quality evaluation of product defects are realized. According to the method, a nondestructive testing detection probability POD evaluation system is creatively combined with the M integral and regularization parameters of the configuration mechanics, the limitation of a traditional reliability evaluation method is broken through, the influence of uncertainty on the structural strength is quantitatively detected, the precision and efficiency of product reliability evaluation are remarkably improved, and the method is suitable for popularization and application. And effective technical support is provided for structural safety design.

The invention relates to the technical field of cross-sea channel engineering, in particular to a fixed supporting type underwater suspension tunnel with a shock absorption and isolation device, which comprises rigid pier columns, a suspension tunnel pipe body, a flexible waterproof joint, a waterproof shock isolation support, a waterproof shock absorption buffer component and a pile foundation, the steam generating device comprises a steam chamber; the floating tunnel is suitable for cross-sea traffic in shallow water areas (the water depth is within 50 m) under complex sea conditions, good stability is achieved, all components are manufactured in a modularized mode and connected through standardized connectors, construction and maintenance are convenient, the truss for supporting connection and limiting is arranged on the upper portion of the rigid pier column, excessive displacement of a floating tunnel pipe body in the horizontal direction can be limited, and the construction efficiency is improved. The floating tunnel pipe body falling accident under the extreme condition is avoided, the shock insulation supports and the vibration reduction buffering assemblies are arranged between the floating tunnel pipe body and the rigid pier columns, when disasters such as extreme waves or ocean currents or earthquakes happen, shock insulation and vibration reduction are facilitated, and the structural reliability is high.

The invention discloses an intelligent management method and system for a cast pipe production line, and relates to the technical field of cast pipe production, in the trial-manufacturing process, the method identifies the sequence of solidification areas under different rotation conditions by setting different rotation conditions and combining a CFD simulation technology, and analyzes the component difference and the distribution condition of solute elements in different areas. By obtaining the composition segregation coefficient Pxs, distribution of solute elements in the cast pipe production process can be optimized, the composition uniformity of the cast pipe is further improved, then the mechanical property and structural reliability of the cast pipe are enhanced, and the defect risk caused by uneven composition is reduced. In the cast pipe production process, the feeding timeliness in the molten metal solidification process is analyzed, technological data are combined, the hole defect risk coefficient Kfx is constructed, the foundation is laid for effectively reducing the occurrence rate of hole defect defects, and the production conditions of centrifugal casting are optimized.

The invention discloses an intelligent switch disconnecting link anti-misoperation method and system, and the method comprises the steps: collecting the electrical state information of a switch and a disconnecting link in real time, and constructing a power grid topological structure based on an improved particle swarm algorithm; based on the power grid topological structure, reliability analysis is carried out by adopting a minimum cut set method, and the failure probability of key nodes and a system reliability index are calculated; generating and dynamically adjusting an anti-misoperation strategy by utilizing a reinforcement learning model and combining historical operation data, a power grid topological structure, a reliability index and fault data; in the operation execution stage, the operation logic is verified through the machine learning model, and if it is detected that the operation violates an anti-error strategy or a reliability threshold, locking is triggered and an alarm is given; the state information of the power equipment is obtained through the real-time monitoring module, the equipment layout is optimized by combining topology analysis and the improved particle swarm optimization, and the response speed and accuracy of the system are improved.

The invention discloses a device and a method for dynamically monitoring a weak part in a rocket simulation launching process, belongs to the technical field of detection, and solves the technical problem that the deformation condition of the weak part on a rocket shell cannot be remotely and dynamically monitored in real time in the scene of the first few seconds of rocket launching by combining a traditional speckle marking method and a DIC technology. According to the solution, a quantum dot paste matrix is pasted on the surface of a weak component on a rocket shell, and after quantum dot pastes are excited by light to emit light within a certain time, position changes of the light-emitting quantum dot pastes are tracked and observed through a visual signal acquisition system arranged at a proper long-distance position. The quantum dot technology and the DIC technology are combined, the surface deformation degree and structural reliability of weak parts on a rocket shell can be monitored and analyzed in time under the conditions that the rocket bears large thrust and has large acceleration in the first few seconds of rocket launching, the rocket research and development period is shortened, and the safety and reliability of the rocket are improved.

The invention discloses a structural reliability updating method based on domain adaptive network integration. The method comprises the following steps: constructing Monte Carlo sample pools of a source domain and a target domain; constructing a proxy model based on deep integration and active learning as a source domain proxy model; generating migration training set sample points; constructing a domain adaptive network integration agent model as a target domain agent model; selecting fine tuning training set sample points based on a learning function; calculating a sample point limit state function value to obtain a fine tuning training set; performing partial fine tuning on the target domain agent model; performing failure probability estimation by adopting a Monte Carlo method, and judging whether the failure probability meets a convergence criterion or not; and outputting a failure probability estimation value updated based on the load variable distribution change. According to the method, updating and solving of the failure probability can be accurately and efficiently completed according to the load variable distribution change condition, the safety degree of continuous service of the structure can be quantified in real time, and therefore more scientific and economical maintenance measures and overhaul plans can be formulated.