22results about How to "Verify rationality" patented technology

The invention provides a network construction type energy storage converter multi-machine parallel semi-physical simulation platform, which comprises an energy storage converter control case, an energy storage converter simulation server, a regional power grid simulation server and an upper computer controller, the regional power grid simulation server is connected with the energy storage converter simulation server, the energy storage converter controller and the upper computer in sequence; the simulation platform performs joint simulation on the constructed regional power grid model and the semi-physical model of the energy storage converter, modifies the short-circuit ratio of the regional power grid model, switches a load to produce power grid voltage frequency fluctuation or broadband oscillation, and tests the anti-interference capability of the network construction type energy storage converter under the large disturbance of the power grid. Under the small disturbance of the power grid, the self-supporting effect on the frequency of the power grid is achieved; through interconnection of the energy storage converter simulation service chassis and the energy storage converter simulation server, the operation condition of the energy storage converter in an actual regional power grid is simulated, the grid-connected point power flow is calculated and analyzed, and the rationality of a grid frequency support algorithm of the network construction type energy storage converter is verified.

The invention discloses a rock uniaxial compression damage model considering microcrack mechanical behaviors. The model reflects that rock damage is caused by slippage and extension of microcracks. According to a microcrack slippage model and an energy balance principle, a rock uniaxial compression stress-strain relationship is established, and it is considered that microcracks obey a Weibull distribution model. And further taking a strain energy density criterion as a microfracture propagation criterion, solving the wing crack propagation length of the composite fracture by adopting an iteration method, and obtaining a rock damage variable evolution equation represented by the wing crack propagation length. Therefore, a rock uniaxial compression damage model is provided, and the rationality of the rock uniaxial compression damage model is verified. Parameter sensitivity analysis is adopted to research the influence of the microcrack length, the friction coefficient and the rock fracture toughness on the mechanical properties of the rock. Research results show that macroscopic mechanical properties of the rock are macroscopic reflection of microscopic mechanical parameters of the rock, so that the rock damage constitutive model established from the microscopic perspective can better reveal the deformation and failure mechanism of the rock, and the rock damage constitutive model has a good application prospect.

A method for constructing a damage constitutive model to analyze the damage evolution of easily argillaceous rocks includes: preparing ore specimens; conducting acoustic emission tests on the ore specimens under uniaxial compression; obtaining the displacement, load, and acoustic emission parameters of each specimen; calculating and analyzing the characteristic stresses of easily argillaceous rocks under uniaxial compression; revealing the evolution characteristics of acoustic emission parameters under uniaxial compression; defining the damage variables at different characteristic stress stages; and constructing a damage constitutive model of the entire stress-strain process of easily argillaceous rocks. This method can accurately and comprehensively quantitatively analyze the strength evolution characteristics of easily argillaceous rocks under uniaxial compression, monitor the damage evolution characteristics and damage degree of easily argillaceous rocks in real time, and provide a reference for maintaining the stability of underground goaf areas in mines.

The invention belongs to the technical field of digital factories, and relates to a digital twin system suitable for an aircraft engine product production line and a design method of the digital twin system. The digital twinning system suitable for the aircraft engine product production line comprises a production equipment layer, a network sensing layer, a twinning data layer, a twinning model layer and a twinning application layer, the production equipment layer comprises multiple types of aircraft engine product production line equipment; the network sensing layer comprises an industrial control network sensor and a park network system; the twin data layer is used for storing real-time monitoring data, production operation data and equipment maintenance data; the twinborn model layer constructs a twinborn environment, a business logic model and an analysis model based on real-time monitoring data, production operation data and equipment maintenance data; and the twinning application layer performs production process monitoring, production process simulation and production line performance display according to the twinning environment, the business logic model and the analysis result. The digital twin system can realize real-time online monitoring, simulation, prediction and optimization.

The invention relates to the technical field of knowledge graphs, and discloses a construction rule judgment method, device and equipment based on a knowledge graph, and the method comprises the steps: obtaining construction rules, construction requirements and safety specifications of a general plane of a construction site, and building a basic rule database; expanding the basic rule database into a generalized rule database; preprocessing the generalized rule database, and standardizing a text format and an expression mode of each rule; performing feature extraction and reference classification on the preprocessed generalized rule database, and constructing a construction rule judgment knowledge graph; according to the received judgment conditions input by the user, retrieval is carried out in the construction rule judgment knowledge graph, judgment results including logic correctness, step feasibility and time sequence rationality are output, the judgment conditions input by the user are judged through the construction rule judgment knowledge graph, an effective management tool is provided for construction management, and the construction management efficiency is improved. And the management efficiency and the management quality are improved.

The application discloses a kind of power power balance calculation method and system based on machine learning, belong to electric power system optimization scheduling technical field, will deep neural network and optimization calculation be combined, adopt the strategy of integer variable reduction, the operation state of most thermal power units is determined in advance by Seq2Seq-Attention model, the input of model is the relaxation solution of operating state and scene curve data, and the output is the operating state of thermal power unit, so as to reach the effect of improving the calculation speed of power power balance problem, the acceleration effect evaluation index designed and the acceleration effect verification method based on variable time scale scene generation are used to verify the acceleration effect of the fast calculation method, which has high precision and strong practicability.

The invention relates to a composite material-metal hybrid structure impact dynamic response analysis method. The method comprises the following steps: S1, simplifying an impact load according to the impulse size of the actual impact load within saturation response time; s2, when the actual deformation of the fiber metal laminated plate is increased until the fibers are damaged, analyzing and calculating the influence degree of the rigidity reduction coefficient of the introduced fiber composite material layer on the damage; and S3, according to different deformation modes of the actual fiber metal laminated plate under the impact load, performing dynamic response calculation in stages. According to the method disclosed by the invention, the influence of the reduction coefficient of the large deformation damage stage of the fiber metal laminated plate and the boundary slippage of the test piece can be considered from a fiber metal laminated plate response theoretical analysis model under the impact load; and calculating the theoretical model by stages through software programmed by Matlab. The method for effectively evaluating the dynamic response of the fiber metal laminated plate under the impact load is a method for effectively evaluating the dynamic response of the fiber metal laminated plate under the impact load.

The invention relates to an interstage thermal separation equivalent simulation test method based on explosion impact, belonging to the field of test technology; according to mass and energy conservation equations, an initial corresponding relationship between and flow parameters is established; an advanced corresponding relationship between and flow parameters is obtained; a calculation formula of and is established; a relationship equation of the explosion shock tube explosion equivalent to replacing rocket engine combustion is established; according to the relationship equation of the explosion shock tube explosion equivalent to replacing rocket engine combustion, the unknown parameters are solved, and the parameters are adjusted according to the solution results to achieve the jet effect produced by the explosion shock tube explosion equivalent to replacing rocket engine combustion; the invention realizes the equivalent of the pulsating pressure effect at different positions in the interstage section in the process of simulating engine operation by modulating the initial parameters of the explosion shock tube.

The invention provides a blade vibration test device and test method, and the device comprises an installation seat which is used for installing a tenon of a blade; the vibration exciter is used for applying vibration to the blade on the mounting seat; and the loading device is used for applying torque and / or pulling force to the blade crown of the blade positioned on the mounting seat. It can be seen that by applying torque or tension in a blade vibration test, the vibration test can be close to a real blade working state as much as possible, obtained test data approach to real blade vibration characteristics, the influence of blade crown pre-twisting, pre-tensioning and the like on the vibration characteristics is effectively verified, and the reasonability of blade crown design is verified; and test data support is provided for blade optimization design.

The invention relates to the technical field of ancient building protection and repair, and discloses an ancient building wood framework deformation grading tension reset construction and acceptance method, which comprises the following steps: scanning a wood framework by adopting three-dimensional laser scanning equipment, quantitatively analyzing deformation and calculating a deviation correction amount; according to the deviation correction amount, a graded tensioning scheme including local advanced deviation correction and overall synchronous deviation correction is formulated, closed-loop control of graded loading and load-holding voltage stabilization is executed through a collaborative tensioning and monitoring system in construction, and a tensioning strategy is adjusted in real time; after resetting is completed, a model is generated through three-dimensional laser scanning again, and quantitative evaluation of multi-dimensional indexes such as column grid resetting precision, mortise and tenon joint sealing degree and elevation levelness is carried out; and long-term stability monitoring is carried out on the wood framework. According to the method, through full-process digitization and closed-loop control, the precision, safety and controllability of resetting are improved, an objective quantitative evaluation basis is provided for the repairing effect, and long-term structural stability after resetting is guaranteed.

The invention designs an internal circulation cooling bone cutting tool based on a 3D printing technology. The internal circulation cooling bone cutting tool comprises the steps that 1, a tool internal structure capable of achieving internal circulation cooling of cooling liquid is designed and established; and 2, a three-dimensional model and a finite element model of the cutter are constructed, the effectiveness of the models is verified by analyzing stress distribution, deformation displacement and frequency sweeping operation, then the availability and rationality of a cooling liquid channel are verified by simulating the introduction of cooling liquid, and the models can be used for subsequent thermodynamic analysis. 3, the 3D printing technology is utilized, and the 45 steel material is used for printing the tool model in the step 2. And 4, carrying out mechanical analysis and experiment on the printed cutter, and analyzing the mechanical property of the cutter.

This invention discloses a finite element analysis method and system for the yield buckling strength of a marine integrated test platform. The method includes establishing a finite element model of the platform for marine integrated testing; obtaining the peak value of the wave load transfer function based on the design wave method and the hydrodynamic calculation results of the hydrodynamic model, selecting design wave parameters, and applying the corresponding wave loads to the entire platform finite element model; solving the structural finite element model to obtain the calculated results of nodal stresses and nodal displacements; and analyzing the calculated results of the nodal stresses and nodal displacements to generate a stress contour map. This invention enables the structure to withstand environmental loads within its design service life and meets the strength requirements under design conditions.

The invention discloses a large model evaluation method and device, electronic equipment and a computer program product. The method comprises the steps that a directed acyclic graph is constructed based on a target task of a robot, the directed acyclic graph comprises at least one legal execution path corresponding to the target task, and each legal execution path comprises at least one action node; according to the directed acyclic graph, determining a current executable action node set of the robot; the target task is planned through the large model, and a current prediction action is obtained; evaluating the predicted action according to the executable action node set to obtain an evaluation result; under the condition that the evaluation result indicates that the prediction is correct, triggering the robot to execute a prediction action; the above process is continuously repeated until a preset ending condition is met, and then the evaluation of the large model based on the target task is ended. According to the scheme, systematic deviation caused by a unique truth value in an existing evaluation method can be eliminated, and objective measurement of the real planning ability of the large model is achieved.

A noise label correction method for ultrasonic image multi-center plaque classification based on double-classifier prediction is characterized by comprising the steps that an ultrasonic image is preprocessed and then input into a feature extractor, a multi-center feature adaptation module is additionally arranged behind the feature extractor, a modeling and processing module for constructing noise labels is additionally arranged behind the feature extractor, and classification of multi-center plaque echoes is achieved; the multi-center feature adaptation module introduces a domain adaptation layer composed of two full-connection layers, uses the maximum average difference as the quantitative measurement of the difference, constructs two independent classifiers, and takes the output average of the two classifiers as the input of modeling of the next noise label. Aiming at inherent difficulties existing in multi-center plaque ultrasonic data, a multi-center feature adaptation module and a noise tag modeling and correction module are provided, while feature differences are further reduced, pseudo tag modeling is carried out on a target center, and better modeling estimation and processing are carried out on generated noise tags.

The application belongs to the field of agricultural information technology, and particularly relates to a Canada goldenrod prevention and control method based on leaf vein feature fine-grained identification. A high-resolution image dataset containing four types of seedling leaves of species is constructed, and the characteristics of tri-foliate veins of Canada goldenrod and the characteristics of pinnate veins of other species are highlighted and labeled. A deep learning model with a leaf vein structure attention module is designed, multi-scale feature extraction and triple comparison learning are used to force the model to focus on the vein direction, bifurcation mode and topological structure difference. Real-time images are collected by a drone and are divided into grids, and the species category, seedling confidence and spatial distribution are output in grid units. Based on the identification result, a differentiated and accurate prevention and control scheme is automatically matched. The seedling identification accuracy of the Canada goldenrod reaches 96.8%, the false alarm rates of the sumacweed, the small bentgrass and the annual meadowgrass are as low as 3.2%, 3.5% and 2.8% respectively, the pesticide saving rate reaches 52%-68%, and the other plant injury rate is reduced from 18.5% of the traditional method to 2.1%.

The application provides a construction analysis method of a loose body surrounding rock tunnel supporting system, belongs to the technical field of tunnel supporting system construction, uses HoekBrown criterion to construct a three-dimensional tunnel construction model for initial parameters, monitors the numerical value of displacement in the construction process, carries out inversion analysis and parameter determination and positive calculation verification, carries out construction numerical simulation of loose body surrounding rock under several excavation and supporting modes, determines the corresponding excavation and supporting mode of the loose body surrounding rock tunnel, carries out sensitivity analysis on the parameters of the advanced support, calculates the reinforcement effectiveness coefficient, establishes a quantitative determination method of the advanced support, establishes a mechanical calculation model of the combined bearing of the lock foot anchor rod and the steel arch, proposes a design method of the lock foot anchor rod, determines the deformation amount of the first stable stage of the tunnel, establishes the construction timing of the secondary lining of the loose body surrounding rock tunnel based on a certain guarantee rate, and determines the construction method of the supporting system.

The invention discloses an automobile bolt connection pair assembly torque checking and testing method, which belongs to the technical field of vehicle engineering, and is characterized in that the minimum tightening force required by a bolt connection pair is calculated in combination with CAE simulation analysis, the initial value of the assembly torque is obtained through theoretical calculation, and bolt axial force detection is carried out in combination with whole vehicle reliability verification. The bolt axial force attenuation rate is monitored, and verification is carried out through combination of theories and practice, so that the test method is relatively sufficient. The connecting reliability of the automobile bolt pair can be improved, the safe driving performance of an automobile is further improved, and customer complaints caused by abnormal sound due to bolt looseness can be reduced.

The invention discloses a zero-shot classification method for three-dimensional models, comprising: S1, constructing a zero-shot three-dimensional model data set; S2, taking the multi-view representation of the three-dimensional model in the zero-shot three-dimensional model data set as input, and using a deep ensemble learning sub-network to extract the visual features of the complex three-dimensional model; S3, inputting the visual features of the three-dimensional model into a semantic manifold embedding sub-network, effectively capturing the visual association and semantic association between known categories and unknown categories; S4, inputting the three-dimensional model of the unknown category in the zero-shot three-dimensional model data set, extracting its visual and semantic feature information through a deep ensemble learning sub-network and a semantic manifold embedding sub-network, using a cosine distance metric function to find the best semantic label for the unknown class, and completing the classification and recognition of the unknown category. The invention can realize the effective recognition of unknown categories and achieve good classification accuracy.

The invention provides a combined mold manufacturing method based on UG modeling, and relates to the technical field of mold manufacturing. The combined mold manufacturing method based on UG modeling comprises the steps that demand analysis and scheme design are carried out, according to product demands, mold types, structural forms and main technical parameters are determined, preliminary three-dimensional modeling is carried out through UG software, and an overall design scheme of a mold is generated; in the step of three-dimensional modeling and parametric design, in UG software, the powerful three-dimensional modeling function of the UG software is utilized, detailed three-dimensional modeling is conducted on all parts of the mold, a parametric design method is adopted, and parametric definition is conducted on the key size of the mold, so that subsequent modification and optimization are facilitated. A powerful three-dimensional modeling tool is provided by adopting UG software, all parts and the overall structure of the mold can be rapidly created, the design period is remarkably shortened, rapid modification and optimization can be achieved through parametric design and mold design, the workload of repeated design is reduced, and the design efficiency is improved.

The present invention discloses an engine thrust simulation device capable of realizing stable swing, comprising: a gimbal seat, an adapter seat, bolts, nuts, an ear seat and an actuator; wherein the gimbal seat is fixed on a test platform; the adapter seat is connected to the gimbal seat through the bolts and the nuts, and the rotating shaft of the adapter seat is kept coaxial with the rotating shaft of the gimbal seat; the ear seat is connected to the actuator cylinder through threads, and the inner hole of the ear seat is docked with the rotating shaft of the adapter seat; one end of the actuator cylinder is fixed to the ground, and the other end of the actuator cylinder is threadedly connected to the ear seat. The present invention can measure the swing life and friction torque of the gimbal seat under vacuum thrust, and verify the rationality of the gimbal seat bearing matching clearance.