25results about How to "Great engineering application value" patented technology

The invention provides a suspension bridge cable clamp digital twin system based on wireless intelligent washers, and belongs to the crossing field of bridge engineering and intelligent monitoring technologies. According to the system, a wireless intelligent gasket is used as a core sensing unit, finite element analysis, a neural network agent model and a three-dimensional visualization technology are combined, and real-time mapping of a cable clamp physical entity and a virtual model is constructed; the system obtains data such as wireless intelligent gasket pressure, cable clamp-main cable friction force, cable clamp displacement and cable clamp structure node stress and strain through finite element analysis under different working conditions, and a parameter mapping proxy model is formed by training a mapping relation between the gasket pressure and other parameters through a neural network. And relevant models and data are developed and integrated by means of an Unreal Engine engine, and visualized real-time rendering is carried out, so that bolt fastening control in a construction stage and / or structural health monitoring in an operation and maintenance stage are / is realized. According to the system, digital management and control of the full life cycle of the cable clamp can be realized, and the monitoring precision and the engineering economy are remarkably improved.

This invention discloses a low-carbon economic operation method for integrated energy systems in industrial parks based on carbon trading collaboration. It relates to the technical field of integrated energy system optimization scheduling and low-carbon economic operation, and includes the following steps: establishing a matching physical system model based on the collaborative recognition rules of green certificates and carbon trading; constructing a day-ahead scheduling model with the single objective of minimizing the total operating cost of the integrated energy system in the industrial park, based on the collaborative recognition rules and the physical system model, to solve for the optimal equipment output plan, energy storage scheduling strategy, and flexible load adjustment scheme that minimizes the total cost while satisfying constraints such as equipment operation, power balance, and load comfort. This invention overcomes the problems existing in current research on low-carbon operation of integrated energy systems in industrial parks, such as isolated market mechanisms, simplified load models, and difficulties in coordinating economic and environmental goals.

This invention relates to the fields of audio and video playback technology and network communication technology, specifically a dynamic control method and system for video playback caching. By introducing intelligent prediction models, dynamic weight allocation algorithms, and scene association mechanisms, it achieves precise adjustment of video player caching duration, download speed, and external parameters, thereby maximizing the utilization of the player's local cached content, improving bandwidth utilization, reducing CDN bandwidth costs, and minimizing playback stuttering. Furthermore, this invention provides dynamic parameter and intelligent algorithm configuration interfaces for external users, allowing them to adjust caching control strategies based on multiple different parameters and business scenarios to achieve the optimal caching strategy for their own business.

The present application relates to a kind of spot I type nugget fracture failure constitutive model construction method, belong to the fracture mechanics and numerical simulation method technical field of spot welding joint.The technical scheme of the present application is: the parameter construction of constitutive model is carried out, parameter is directly used for spot welding joint related finite element simulation;Spot welding joint is bonded with uniaxial tensile fixture, and the tensile experiment of nugget fracture form is completed under tensile testing machine and the load-displacement curve and maximum load are recorded;Finite element model is constructed and tensile displacement is calculated;Convert and correct stress-displacement curve in combination with measured nugget area, solve maximum tensile stress and fracture energy, parameter is substituted into model and the precision of replacement connection mode is verified.The beneficial effects of the present application are: the accurate construction of spot I type nugget fracture failure constitutive model is realized, which provides standardized mechanical parameter support for spot welding joint structure reliability design and welding process optimization, and significantly improves the accuracy and engineering application value of finite element simulation.

The invention belongs to the technical field of spacecraft ground test equipment, and particularly relates to a microgravity simulation device for spacecraft component ground test, which comprises a base, an air floatation support mechanism, an ultrasonic standing wave stabilization mechanism, a self-adaptive clamping mechanism, a servo drive error compensation mechanism, a control system and a test platform. The air floatation supporting mechanism provides vertical non-contact supporting force to offset gravity, the ultrasonic stabilizing mechanism maintains horizontal stability, the self-adaptive clamping mechanism is adaptive to parts of multiple sizes, and the servo compensation mechanism corrects deviation in real time. The composite suspension structure is combined with PID-fuzzy closed-loop control, the simulation error is controlled within 4.0%, the defects that existing equipment is low in precision, short in time, prone to pollution and poor in universality are overcome, long-time stable simulation can be achieved, and reliable support is provided for part ground verification.

This invention provides a method for predicting the dominant frequency of blasting vibration by integrating parameter fluctuation processing and the Dream Optimization Algorithm (DOA), belonging to the field of underground engineering safety control technology. The system includes a data acquisition and uncertainty modeling module, a data preprocessing and feature construction module, a hyperparameter optimization module, and a prediction model training and result output module. The method obtains relevant parameters through on-site investigation and monitoring, and generates an extended sample set using a combination of probabilistic perturbation modeling and fuzzy triangular modeling. The data is preprocessed and features are selected. The DOA algorithm is used to globally search the hyperparameters of the Support Vector Regression (SVR) model, and the optimal hyperparameter combination is selected by combining a robustness fitness function. The SVR model is trained, and prediction results and uncertainty prediction intervals are generated. This invention can explicitly characterize the uncertainty of geological parameters, achieve efficient global optimization of hyperparameters, improve prediction accuracy, robustness, and generalization ability, and is applicable to different geological conditions and blasting scenarios. It can be extended to various blasting dynamic response prediction tasks.

A thermal control mechanical pump internal flow clearance design method comprises the steps that firstly, initial values of all clearances in a mechanical pump are set, then a full-basin simulation calculation model of a mechanical pump rotor is established to carry out CFD simulation calculation, and pressure distribution, temperature distribution and cooling flow of cooling fluid in the mechanical pump at all positions of a cooling flow channel and axial force borne by a bearing are obtained; and then the fatigue life and the abrasion life of the bearing, the operation efficiency of the mechanical pump and the supercooling degree of the working medium on the leeside of the rear bearing are sequentially compared with design requirements, and the final gap design is completed by continuously adjusting all gap values. According to the mechanical pump, fine control over cooling flow and pressure distribution is achieved through clearance control over the cooling flow channels in the pump, the efficient cavitation resistance of the mechanical pump can be ensured, and the reliability of the mechanical pump is improved.

The invention relates to the technical field of ship lifts in water conservancy projects, in particular to an emergency braking checking method and system for a full-balance steel wire rope winch type ship lift. The invention provides a full-working-condition and multi-dimension integrated checking method aiming at the problems that an existing checking method is not adaptive to the characteristics of a full-balance steel wire rope winch type balance friction winding drum, the working condition coverage is incomplete, and the checking dimension is single. The method comprises the following steps: respectively calculating system equivalent mass and unbalanced load under normal lifting and water leakage empty working conditions; calculating system translation acceleration under each working condition based on the braking system parameters; selecting the maximum acceleration to calculate an impact load coefficient; and checking the strength and skid resistance of the steel wire rope on the basis. By means of the method, linkage checking of the load, the acceleration, the impact coefficient and the steel wire rope performance of the full-balance steel wire rope winch type ship lift in the emergency braking process is achieved, checking comprehensiveness, accuracy and engineering applicability are remarkably improved, and reliable support is provided for safety design of the ship lift.

This invention discloses a comprehensive evaluation platform for railway line schemes based on a large model, relating to the field of railway line planning technology. The invention includes a survey and design data collaboration module, a dual-model evaluation core module, a model output optimization module, and a database. The survey and design data collaboration module collects relevant data from various survey areas and constructs an evaluation system. The dual-model evaluation core module assesses the flood control and frost prevention effects of the survey areas based on summer precipitation and winter low-temperature conditions, obtaining scores. The model output optimization module combines the comprehensive evaluation score with the flood control and frost prevention scores to generate and screen candidate railway line schemes. This invention improves the accuracy of environmental assessment, data collaboration, and the scientific nature of scheme optimization in railway line evaluation. It deeply integrates environmental assessment of survey areas with railway line scheme optimization, enhancing the scientific nature, safety, and feasibility of railway line site selection, and reducing subsequent operation and maintenance costs.

The application discloses a power distribution network resilience improvement method considering collaborative scheduling of multiple flexible resources, and relates to the technical field of power distribution network operation control and emergency recovery. The method first constructs a line fault probability model based on extreme disaster dynamic prediction data, generates a typical dynamic fault scene set; then establishes a unified model of wind turbine, photovoltaic power station, electric vehicle aggregate, 5G base station energy storage, mobile energy storage system; constructs a disaster adaptive rolling optimization framework, updates disaster information and system state in real time, dynamically corrects fault scene and plans MESS driving path; takes the minimum key load loss and the minimum system operation cost as double objectives, establishes a collaborative optimization model containing power distribution network operation constraints and resource constraints; uses weighted summation method and second-order cone relaxation technology to convert the model into a single-objective mixed integer second-order cone programming model and solve it; significantly improves the key load recovery capability and operation economy of the power distribution network under extreme disasters.

This invention belongs to the field of new energy and energy-saving technology, specifically relating to a black-start load recovery control method and system for an energy storage system based on phase prediction. First, a real-time dynamic safety window and real-time prediction confidence level are calculated for the predicted phase difference value. Corresponding thresholds are preset and compared. Only when the predicted phase difference value is within the dynamic safety window and the prediction confidence level is not lower than the threshold, in the predicted future... The system issues closing commands at all times, achieving precise contact closure through mechanical delay. The confidence model is constructed by combining predicted stability terms and system drastic change penalty terms. At the same time, for cold-start loads with no residual charge, it is optimized to close the circuit at the zero-crossing point of the grid voltage, effectively suppressing inrush current and realizing the transformation of closing from blind control to precise control, thereby improving the safety, reliability and control accuracy of closing.

This invention relates to a phase-sensitive optical time-domain reflectometer based on orthogonal frequency division multiplexing (OFDM) pulse coding. A continuous laser beam is split into a local path and a probe path via an optical coupler. The probe path, driven by a radio frequency signal, generates multiple frequency-orthogonal intensity-coded pulse sequences through an optical intensity modulator. These sequences are arranged sequentially in time, possessing the same symbol information but different chip sequences. The Rayleigh backscattered light generated by the pulse sequences entering the sensing fiber under test undergoes coherent interference with the local light in an optical bridge and polarization diversity module. The signal acquisition circuit utilizes an unmatched filter to achieve pulse compression and Rayleigh scattering signal separation, and synthesizes the results of the pulse coding sequences at each frequency to obtain the strain signal. Compared with existing technologies, this invention achieves pulse compression by designing an unmatched filter, improving the signal-to-noise ratio while maintaining spatial resolution. Furthermore, by synthesizing the results of orthogonal frequency pulse sequences, coherent fading is eliminated, achieving fading-free, high signal-to-noise ratio strain measurement.

This application relates to a magnetotelluric two-dimensional forward modeling method, computer equipment, and computer program product. The method includes: acquiring two-dimensional resistivity model samples; the two-dimensional resistivity model samples include resistivity models and topographic profile data; performing two-dimensional forward modeling calculations based on the two-dimensional resistivity model samples to obtain forward modeling results; inputting the two-dimensional resistivity model samples into a forward modeling network to be trained, whereby the forward modeling network processes the two-dimensional resistivity model samples and outputs a forward modeling response; calculating a forward modeling loss based on the forward modeling results and the forward modeling response; adjusting the network parameters of the forward modeling network based on the forward modeling loss, and continuing training until a training cutoff condition is reached, thereby obtaining a trained forward modeling network; and using the trained forward modeling network to process two-dimensional resistivity models in actual engineering projects and output corresponding forward modeling responses.

The application relates to the technical field of computer application, in particular to an optimization method for quickly solving a motor train unit interchange plan. The method comprises the following steps: obtaining real-time state data of a motor train unit; constructing a time-space axis network of the motor train unit interchange plan based on the real-time state data of the motor train unit; establishing an original model of the motor train unit interchange plan based on actual state data of the motor train unit and the time-space axis network; the actual state data comprises real-time state data and maintenance state data of the motor train unit; establishing an aggregated optimization model based on the real-time state data of the motor train unit and the original model of the motor train unit interchange plan, the aggregated optimization model is based on the real-time state data of the motor train unit to obtain a solving result; constructing a disaggregated solving model based on the solving result of the aggregated model, the disaggregated solving model combines the aggregated result with the obtained actual state data to generate a specific real-name interchange plan.

This invention discloses a method and apparatus for calibrating the focal length of a long focal length camera based on rigid body kinematics, belonging to the field of high-precision pose measurement technology. The method includes: measuring the original three-dimensional coordinate data of three pyramids on a cooperative target; acquiring multiple sets of three-dimensional coordinate data after movement under different poses and forming multiple pose constraints; calculating the first pose transformation matrix from the cooperative target coordinate system to the laser tracker coordinate system and the second pose transformation matrix from the cooperative target coordinate system to the camera coordinate system; calculating the third pose transformation matrix from the laser tracker coordinate system to the camera coordinate system; traversing and searching multiple candidate focal lengths according to a preset search step size, calculating the standard deviation of multiple pose angles for multiple candidate focal lengths, and determining the optimal calibration focal length for the long focal length camera. This invention has advantages such as high focal length optimization accuracy, strong anti-interference ability, good robustness, and simple implementation, and is suitable for various long focal length measurement applications such as aerospace, industrial inspection, and space target tracking.

This invention discloses a liquefied gas storage tank and a vessel for transporting liquefied gas. The liquefied gas storage tank includes a main shielding layer that contacts the liquefied gas on one side, a secondary shielding layer disposed on the other side of the main shielding layer, and at least one liquefied gas loading / unloading tower. The base of the liquefied gas loading / unloading tower includes: a lower part of the base body fixedly connected to the bottom wall; a corrugated plate of the secondary shielding layer connected to the lower part of the base body; and a closed end at one end of at least one corrugation of the secondary shielding layer facing the lower part of the base body. An upper part of the base body has mounting holes in the main shielding layer, through which the upper part of the base body is fixedly connected to the lower part of the base body. By opening mounting holes on the flat surface of the main shielding layer to achieve the installation of the pump tower base, the integrity of the corrugated structure of the main shielding layer is fully preserved, ensuring the expansion and contraction performance of the main shielding layer in low-temperature environments and improving the low-temperature sealing reliability of the storage tank.

This invention discloses an 800kV GIS (Gas-Insulated Switchgear) dual-sealing structure with separate main and auxiliary sealing functions, and a life-cycle design method suitable for high-altitude desert environments. The structure includes a GIS equipment shell and a flange. The flange is integrally installed at the connection end of the GIS shell. The flange connection area features a main sealing structure and an auxiliary sealing structure. The main sealing structure is located closer to the GIS shell forming the air chamber, while the auxiliary sealing structure is located closer to the external environment. This invention's dual-sealing structure with separate main and auxiliary sealing functions significantly reduces the risk of SF₆ leakage in the GIS equipment, improves the reliability of the sealing structure in low-pressure environments at high altitudes, delays the aging of sealing materials, and enhances the adaptability of the GIS equipment to windy, sandy, and temperature-differential environments.

This invention provides a method and system for dynamic monitoring of anthropogenically disturbed soil and water conservation patches based on a knowledge graph. The method specifically includes: constructing a dynamic knowledge representation framework: dividing soil and water conservation knowledge into static and dynamic knowledge, and establishing semantic associations between static and dynamic knowledge; constructing an ontology: defining entity categories, defining relationship types between entities based on the dynamic knowledge representation framework, and defining entity attributes; constructing an ontology structure containing entity categories, relationship types, and attribute constraints, and generating relationship annotation templates; knowledge extraction and fusion: extracting entities and relationships from remote sensing image data based on the relationship annotation templates, and fusing the extracted knowledge; constructing entity-relationship-attribute triples to build a knowledge graph; and assessing the risk of soil erosion in dynamically disturbed soil and water conservation patches based on the constructed knowledge graph. This invention provides a scientific basis for decision-making by regulatory authorities and has broad engineering application value.

The invention relates to the technical field of rolling bearing fault diagnosis, and discloses a target domain data set construction method, a rolling bearing fault diagnosis method and a computer program product, and the target domain data set construction method comprises the steps: selecting an amplitude spectrum of an actual measurement sample as a fitness function of a CS-GWO algorithm; taking the minimum value of the amplitude spectrum entropy as a fitness function, and searching an optimal parameter combination in the VMD algorithm; decomposing the actually measured samples in the original data set by using the VMD algorithm of the optimal parameter combination to obtain K modal components; and calculating the correlation between each modal component and the actually measured sample, retaining the high-correlation modal components, and carrying out summation reconstruction to obtain target domain data in the target domain data set. According to the method, the fault features are accurately extracted by using the CS-GWO optimized VMD algorithm, the fault feature coefficient and the signal-to-noise ratio are remarkably improved, noise interference in an actual measurement sample is effectively inhibited, and thus the accuracy and reliability of target domain data are improved.

The utility model relates to the technical field of ore feeding transportation of mine ore grinding systems, in particular to a novel feeding trolley hopper clamping prevention device which comprises a feeding trolley and a hopper clamping prevention device body, the hopper clamping prevention device body is installed on the side face of the feeding trolley, and a structural steel plate is fixedly installed on the side wall of the feeding trolley. Two pieces of angle steel are fixedly installed on the structural steel plate, a correlation switch is fixedly installed on each piece of angle steel, the two correlation switches are oppositely arranged in parallel, a wear-resisting lining plate is fixedly installed on the inner wall of the feeding trolley, the hinge is welded to the structural steel plate, the movable steel plate is welded to the hinge, and the movable steel plate is welded to the wear-resisting lining plate. The hinge can rotate the movable steel plate, the displacement rod can drive the movable steel plate, the movable steel plate can prevent the correlation switch from transmitting signals, and the iron plate machine and the belt conveyor stop running after the correlation switch is blocked. The feeding trolley solves the problem that hopper clamping faults are caused when a feeding trolley goes down a mine in the prior art.

The invention provides an auxiliary control method and device for an aqueous metal battery energy storage power station, electronic equipment and a medium. The method comprises the following steps: acquiring an operation state of the aqueous metal battery energy storage power station; according to the operation state, when it is determined that an emergency stop button signal of an energy storage unit of the water-based metal battery energy storage power station exists, a corresponding preset emergency stop signal value is combined for comparison; and when it is determined that the signal of the scram button is a preset scram signal value, a global shutdown strategy is selected and executed, so that energy storage converters of phase change cabins of all the energy storage units are controlled to be locked, and air conditioners and fans of heat management systems of battery cabins of all the energy storage units are controlled to be shut down. According to the method, active and quantitative risk management is realized to effectively restrain accidents, when new equipment is added to the power station or new control logic is needed, only new strategies need to be added to the strategy library, the whole framework does not need to be changed, and the method has extremely high expandability and wide engineering application value.

The application discloses a concrete anti-cracking waterproof construction method suitable for coastal areas and relates to the technical field of building engineering, which comprises the following steps: S1, base layer treatment: cleaning and pretreating the surface of a concrete base layer to ensure that the surface of the base layer is flat, solid and oil-free; and S2, microcapsule self-repairing layer construction: coating a microcapsule self-repairing material on the surface of the base layer to form a microcapsule self-repairing layer, wherein the microcapsule self-repairing material comprises microcapsules with a core-shell structure, the core material is an epoxy resin repairing agent, and the shell material is a urea-formaldehyde resin. The application is specially adapted to the environmental characteristics of high salt, high humidity and high temperature in coastal areas, an anti-cracking, waterproof and self-repairing integrated system is constructed through multiple processes, the microcapsule self-repairing layer can automatically release a repairing agent when a crack is generated, self-repairing of the crack is realized, the temperature is adjusted by phase change material microcapsules, and generation of temperature cracks is reduced; the waterproof reliability is improved, and the application has wide engineering application value.

The invention discloses an aircraft control quality evaluation method based on a transformer model, and belongs to the field of aviation ergonomics. The method comprises the following steps: firstly, designing a flight mission subject primitive, and collecting a multi-modal physiological signal and flight mission performance data of a pilot; key features are extracted from the physiological signals through multi-level screening, and the key features are fused with a task performance grading result; a transform prediction model combining convolution and a multi-head self-attention mechanism is constructed and used for effectively modeling a local feature and cross-modal global dependency relationship and realizing automatic prediction of a manipulation quality level; a few-sample fine tuning strategy based on dynamic weight freezing is adopted, so that the model can quickly adapt to different pilots, and the generalization ability is improved; and finally, the prediction result of the aggregation group is finally evaluated. The objective and automatic evaluation of multi-source data driving is realized, the limitation of a traditional subjective evaluation method is overcome, and the consistency and efficiency of evaluation are improved.

The utility model relates to the technical field of bridge detection, and particularly discloses a bridge internal narrow space detection device which comprises a machine body, a driving device, an adjustable camera device and a controller. Wherein the driving device comprises motors and driving wheels, the driving wheels are detachably connected to the two sides of the fuselage, each driving wheel is connected with the corresponding independent motor, the adjustable camera device comprises a camera, a light supplementing lamp and a holder, the camera is detachably connected to the holder, the light supplementing lamp is arranged around the camera, and the light supplementing lamp is arranged around the holder. And the holder is fixed on the front end surface of the fuselage. And the controller is arranged in the machine body and has a wireless communication function. The motor, the camera, the light supplementing lamp and the holder are all connected with a controller, and the controller is connected with a power supply device arranged in the machine body. The bridge detection device can conveniently enter a narrow space in a bridge for detection, and the power assembly can be flexibly replaced, so that the bridge detection device adapts to different detection environments.

The application discloses a partial discharge diagnosis method based on regional clustering, which firstly extracts pulse repetitive discharge spectrum data and corresponding labels in a partial discharge training set and stores the data as a mapping matrix. Through a primary clustering function, corresponding selected region coordinate matrices are obtained. The selected region coordinate matrices are classified according to the labels, and the result is stored in a clustering data dictionary. The labels and the selected region coordinate matrices in the clustering data dictionary are iterated, and are sent into a secondary clustering function to obtain final diagnosis region coordinate matrices. Whether the collected PRPD spectrum data to be diagnosed is faulty is judged in combination with a discharge frequency threshold, a corresponding fault occurrence probability is calculated, and finally a partial discharge fault diagnosis result containing the fault occurrence probability is generated.