41 results about "Box model" patented technology

The invention relates to the field of pollution source analysis, and discloses a formaldehyde pollution source analysis and ozone influence quantification method and system for coupling a receptor model and a box-type model, and the method comprises the steps: collecting the concentration of formaldehyde and other pollutants in urban atmosphere in real time through online monitoring equipment, and carrying out abnormal value marking and data standardization processing; performing source analysis on the processed data based on a positive definite factor matrix method to generate a pollution source contribution matrix; converting the source contribution matrix into a molecular concentration input file which can be recognized by the box-type model; embedding a free radical circulation mechanism into the box-type model, and executing photochemical simulation under different pollution source scenes; and generating a pollution source contribution heat map based on a simulation result, and outputting management and control suggestions through a deep learning model. The method has the following effects: by coupling the receptor model and the box type model, not only can different pollution sources of formaldehyde be determined, but also the influence of each pollution source on ozone generation through photochemical reaction can be analyzed.

The embodiment of the invention provides a cargo boxing sequence generation method and device, electronic equipment and a storage medium, and belongs to the technical field of computers. The method comprises the steps that a to-be-loaded goods list is acquired, and the to-be-loaded goods list comprises a plurality of original goods; obtaining a container body model of the target container and a preset boxing constraint condition; based on the boxing constraint condition, the original goods and the box body model, scheme planning is conducted, and a goods boxing scheme is obtained; the cargo boxing scheme is disassembled, and a cargo boxing guide is obtained; wherein the cargo boxing guide is used for indicating the position and sequence of loading the original cargoes into the target container. The embodiment of the invention can improve the feasibility of a cargo boxing scheme.

The invention discloses a public pipe gallery collision detection method, and belongs to the technical field of pipeline collision detection and three-dimensional simulation. The method comprises the following steps: constructing a spatial geometric model of a public pipe gallery according to gallery entering design, and extracting vertex coordinates and triangular mesh information of the spatial geometric model; a mixed hierarchical bounding box model is established, a shaft alignment bounding box is adopted for static structures such as a pipe shaft, a pipe frame and monitoring equipment, a capsule bounding box is adopted for a pipeline, and a hierarchical bounding box tree is constructed from top to bottom; performing interference judgment between the bounding boxes by adopting a repeated projection method to realize coarse detection; performing triangular mesh point cloudization on intersected leaf nodes, and performing fine detection by calculating an inclusion relation between a point set and a capsule bounding box; and finally outputting a collision position. According to the invention, through combination of the mixed hierarchical bounding box structure and the triangular mesh point cloud technology, the precision and efficiency of collision detection in a public pipe gallery scene are significantly improved, the false alarm rate and the calculation complexity are effectively reduced, and the method is suitable for real-time collision detection and pipeline entry planning of a complex industrial pipe gallery.

The invention relates to a structural design method of an eccentric cradle body of a cradle rotary table for a five-axis machine tool, which is characterized in that the eccentric direction is opposite to the rotating direction through the eccentric design of the cradle body structure, so that the tooth surface on one side of a worm gear is tightly attached to the tooth surface on one side of a worm; therefore, the problem of unstable precision of the rotary table inclined shaft caused by a worm and gear gap is solved. The invention relates to a method for identifying structural parameters of an eccentric cradle body by mainly combining simulation analysis and a multi-objective optimization algorithm. The method comprises the following steps: firstly, constructing a multi-body dynamic model in Adams, obtaining a transmission error and jitter curve through torque scanning, and identifying an optimal input torque interval; and finally, importing the optimized box body model into Adams for coupling simulation verification, and calibrating the simulation model in combination with a laser interference experiment. The method is suitable for various high-precision machine tools, in particular to the field of five-axis machine tool machining requiring high precision and high dynamic performance.

The invention discloses a cargo boxing method and device, a storage medium and electronic equipment. Comprising the steps of obtaining point cloud data of a target material box in response to received current cargo boxing task information; based on the point cloud data of the target material box, a virtual material box model corresponding to the target material box is established, and the virtual material box model comprises a goods storage position for placing target goods; a virtual cargo model corresponding to the target cargo is established, the virtual cargo model corresponding to the target cargo is placed at a matched stock position in the virtual workbin model based on workbin historical data, and a virtual workbin model after boxing is obtained; and based on the boxed virtual material box model, a control instruction set is generated, and the control instruction set is used for controlling the transportation equipment to place the target goods at the corresponding preset position in the target material box. The technical problems that in the traditional boxing process, efficiency is low, and accuracy is insufficient are solved.

The application relates to a black box model inversion attack method and device for a text classification model, wherein the method comprises the following steps: extracting a text sequence beginning fragment in a public data set, and constructing an auxiliary data set according to the text sequence beginning fragment; taking the text sequence beginning fragment in the auxiliary data set as a query to access an attack model, generating a complete text sequence, scoring the complete text sequence, obtaining a text sequence score satisfying a preset maximization condition, taking the text sequence score satisfying the preset maximization condition as a target to iteratively optimize parameters of the attack model, and generating a trained attack model; generating a text sequence-score pair set by using the trained attack model; based on the text sequence-score pair set, filtering out a text sequence greater than or equal to a preset score threshold, and generating a final inversion attack result of the attack model according to the text sequence. Therefore, the problems of few sources of model inversion attack information and high attack difficulty of the model inversion attack on the text classification model in a black box scenario are solved.

The invention provides a packaging box bursting strength detection device and a detection method, and mainly relates to the field of material detection. A packaging box bursting strength detection device comprises a bursting strength testing machine, a composite environment test box and a transfer mechanism, a humidity module, a warming module and a temperature and humidity detection sensor are arranged in the composite environment test box, an indexing rotating mechanism is arranged at the bottom of the composite environment test box, and a center shaft is arranged at the top of the indexing rotating mechanism. A plurality of layers of bearing frames are arranged on the center shaft in a sliding mode, a plurality of bearing discs are evenly arranged on each layer of bearing frame in a circumferential mode, the transferring mechanism comprises an action unit and a grabbing unit, and the grabbing unit is used for grabbing samples in the composite environment test box. The method has the beneficial effects that different humidity environments are created, the burst strength data of the carton in the different humidity environments are obtained, reference is provided for packaging box model selection in the special humid environment, and the situation that goods transportation and storage are affected after the humid strength of the packaging box is reduced is avoided.

The invention discloses a structural reliability optimization design method based on a probability and probability box hybrid model, and the method comprises the steps: building a solving model of a reliability index through employing a quadratic four-moment method based on a maximum entropy principle, so as to improve the calculation efficiency of reliability analysis; the classification capability of a K-nearest neighbor algorithm model is adopted to replace a reliability evaluation process in constraint conditions, and design variables are classified so as to reduce the calculation cost of the constraint conditions in the optimization design process; according to the method, a complex nested optimization design problem can be converted into a single-layer deterministic optimization design problem, the optimization calculation efficiency can be improved essentially, and the method has wide engineering application value in the field of engineering mechanical structure design.

The application discloses a parameter identification method and system of a load model, a computer device and a storage medium, and the method comprises the following steps: obtaining preprocessed power system disturbance data; converting the load model into a form of a state space equation and performing a simplification process; inputting the preprocessed power system disturbance data and initial values of each to-be-identified parameter into a nonlinear grey-box model to realize parameter identification of the load model. The application combines a physical model with data driving, can consider the physical mechanism of the load, can utilize a large amount of observed data, and improves the accuracy of parameter identification; meanwhile, compared with a traditional static load model and a WECC CLM model, the ZIP+IM model can not only better simulate the dynamic behavior of the load, but also has fewer parameters and lower identification difficulty. In addition, the grey-box model has clear physical significance, a short training period and fast solving speed, and has good application value.

The invention provides a production design method for a case of a laser cutting machine, which comprises the following steps: acquiring an initial case model, and processing the initial case model through a topological optimization algorithm to generate an optimized skeleton structure; according to the optimized skeleton structure, finite element analysis is adopted to simulate vibration source influence, inherent frequency distribution is determined, and a frequency matching result is obtained; adjusting the skeleton structure parameters according to the frequency matching result, and planning a functional channel path to obtain channel path data; for the channel path data, extracting force transmission path information, and generating a conflict detection result; modifying the channel path data according to the conflict detection result, and obtaining a conflict-free integrated structure model; simulating deformation data under a multi-working-condition load through the integrated structure model, judging whether the deformation data exceeds a preset threshold value or not, and obtaining a deformation evaluation result; according to the deformation evaluation result, lightweight parameters are adjusted, and a final case design scheme is generated.

The application discloses a substation operating box modular design system and an operating box, and belongs to the field of substation secondary equipment design. The system comprises: a substation unit for determining the number of operating boxes and the functional design requirements and constraint conditions of each operating box; a coding unit for performing bit type spectrum coding on each operating box according to the functional design requirements and constraint conditions; a module selection unit for selecting corresponding operating box models according to the bit type spectrum coding and selecting corresponding functional modules from a preset functional module library; and a module assembly unit for determining the installation positions of the functional modules in the operating boxes. The application can realize the standardized, modular and automated design of the substation operating box, effectively reduce the design and production costs, and facilitate the maintenance and management.

This invention relates to the field of artificial intelligence security and discloses a method for generating adversarial examples for voiceprint recognition. It integrates multiple existing voiceprint recognition models to generate a substitute model to replace the target black-box voiceprint recognition model. Adversarial examples are generated by attacking the substitute model, thereby attacking the target black-box model. This overcomes the difficulty of obtaining model information from a black-box model and improves the low success rate of attacks. In generating adversarial examples, a Nesterov-based accelerated gradient method is used, which can find adversarial examples with better attack effects more quickly. During the generation of adversarial examples, the target black-box model is queried a small number of times to correct the direction of adversarial example generation, thus improving the success rate of the attack.

The application relates to the technical field of engineering vehicles, in particular to a method for determining the distance between the boom of an engineering vehicle and an obstacle, a processor and a system. The method comprises the following steps: establishing a first coordinate system; acquiring the first point cloud coordinates of each boom in the first coordinate system and the real-time inclination angle of each boom in real time; determining the pivot center of each boom and establishing a plurality of second coordinate systems; determining the conversion matrix between the first coordinate system and the second coordinate system of each boom according to the pivot center and the real-time inclination angle of each boom; for each boom, determining the corresponding second point cloud coordinates of each first point cloud coordinate of the boom in the second coordinate system of the boom according to the conversion matrix; determining the bounding box model of each boom according to the contour parameters of each boom and the corresponding second point cloud coordinates; and determining the distance between each boom and the obstacle according to the bounding box model and the point cloud coordinates of the obstacle. The method improves the calculation speed and accuracy of the distance between the boom of the engineering vehicle and the obstacle.

The present disclosure relates to a system and computer-implemented method for thermal characterization of buildings to assist in thermal assessment and / or control. A novel approach combining black-box and grey-box modeling techniques is integrated. Initially, a black-box fit is employed to generate model parameters based on training data specific to a building. These parameters are then used to establish initial parameters for a grey-box model through a parameter mapping process, which translates black-box model parameters into an equivalent set of grey-box model parameters while employing predefined equations and constraints to align the grey-box model with outcomes from the black-box model. The grey-box model parameters are further refined iteratively by fitting them against observed data using optimization techniques. This refinement aims to minimize discrepancies between model predictions and actual observations, with constraints imposed on the black-box model parameters to restrict the solution space during modeling.

The present invention provides a collision detection algorithm based on AABB bounding box model segmentation and iteration, including: using AABB bounding boxes to wrap the model to be tested and roughly detecting whether a collision problem occurs; using a bounding sphere detection method to roughly eliminate bounding box collision detection errors; by finding the extreme points and saddle coordinates of the model surface, segmenting the model through the xy, xz and yz planes of these coordinates, generating bounding boxes for each segmented model, and performing collision detection; using a three-dimensional grid to divide the model, detecting collision situations, further dividing and detecting the collision units with smaller grid sizes, and accurately determining whether the models collide through iteration. The present invention detects models detected by the AABB method for collision by using a three-dimensional grid division and iteration, thereby solving the possible misjudgment situation of the AABB method when performing model collision problems, and can obtain the precise location of the collision.

The utility model belongs to the technical field of molds, and particularly relates to a vertical parting stacking box modeling mold which comprises a rack, two fixing seats are installed on the two side walls of an inner cavity of the rack respectively, sliding blocks are connected to the four fixing seats in a sliding mode respectively, a mold body is jointly connected between every two sliding blocks in the same horizontal direction, and the mold body is connected with a mold body. Mold cavities are formed in the upper ends of the two mold bodies, demolding assemblies are arranged in the two mold bodies, and an adjusting assembly is arranged on the rack. According to the utility model, a molded product can be pushed out through the demolding assembly, so that the purpose of conveniently taking materials is achieved, and the molding effect is improved; the two die bodies can be moved reversely and separated from the interior of the rack through the arrangement of the adjusting assembly, so that the two die bodies are not located in the same vertical direction any more, the purpose of facilitating material taking and placing is further achieved, and the phenomenon that due to the fact that gaps between the die bodies and the upper die are fixed, material taking and placing are inconvenient is avoided.

This invention relates to the field of intelligent algorithm adversarial attacks, and in particular to a method and apparatus for black-box adversarial attacks on target detection models. The method includes: acquiring a white-box model with the same functionality as the black-box model; preprocessing the original samples and inputting them into the white-box model to obtain target detection boxes; initializing an adversarial patch and overlaying it onto the center position of the target detection boxes on each original sample to obtain adversarial samples; generating a variant of the white-box model; inputting the adversarial samples into the white-box model and the variant to obtain the detection results of the white-box model; constructing a loss function based on the game-like interaction of adversarial perturbation units; using the loss function to calculate the loss function value of the detection results; updating the adversarial patch according to the loss function value until the generated adversarial patch causes errors in the detection results of the white-box model; and utilizing the transferability of the adversarial patch to attack the black-box model. This improves the transferability of the adversarial patch and increases the success rate of attacks on the black-box model.

The application provides a method for determining a slip-thrust multi-stage structure recognition method, and relates to the technical field of geological structure judgment, and comprises the following steps: S1: building an experimental sand box model according to geological data; S2: changing the structure of the experimental sand box model to simulate a multi-stage structure superposition process, and obtaining an area change amount set; S3: processing the area change amount to obtain final dynamic result data; and S4: judging the slip type through the final dynamic data. The experimental sand box model can be built to simply and effectively simulate the multi-stage structure superposition process, and the area change amount of each stage of simulated stratum can be obtained. Through modeling processing, ADS processing and fitting correction processing of the area change amount obtained by the experimental sand box model simulation, the correctness of the model simulation can be effectively verified, the accuracy of the slip type judgment is greatly improved on the premise of simplifying the slip type judgment process.

The numerical simulation method suitable for bending the battery pole piece comprises the following steps: 1) establishing a model box model for bending the battery pole piece; a model box is established according to the input size, and a pressure plate is arranged at each of the top and the bottom of the model box; particle units are contained in the model box; (1-2) respectively storing macroscopic mechanical properties of the current collector and active layer particles in a document; (1-3) establishing a current collector particle model; inputting the radius and the thickness of the current collector, establishing a particle model of the current collector, importing the particle model of the current collector into the model box, and endowing the material parameters of the current collector to the corresponding particle model; (1-4) compiling a filter function columnFilter, and screening out active layer particles, meeting conditions, on the two sides of the current collector; (1-5) adjusting the position of the pressure plate to enable the pressure plate to be tightly attached to the active layer particles; (6) standard balancing: balancing the stress and energy of the whole model; and 7) numerical simulation. Discrete element modeling and numerical simulation of bending deformation of the battery pole piece are completed.

The utility model relates to the technical field of tank models, and discloses a support display device of a tank model, which comprises a base, a display stand is fixedly mounted at the top of the base, a mounting groove is formed in the top of the display stand, a motor is fixedly mounted in the mounting groove, a cover plate is fixedly mounted at the top of the mounting groove, and the motor is fixedly mounted in the cover plate. An output shaft of the motor penetrates through the cover plate and is fixedly connected with a rotating disc, and a tank box model body is arranged at the top of the rotating disc. The supporting display device of the tank container model has a multi-dimensional display function and an omni-directional rotary display system, omni-directional observation is achieved, different observation requirements are met, the device is provided with a three-color-temperature LED lamp strip, spotlighting is conducted on key parts, shadow display is avoided through the shadowless lamp effect design, and through the arranged telescopic air cylinder and clamping plates, the supporting display device is convenient to use and high in practicability. The tank model can be stably fixed and cannot incline in the display process, the rotating speed of the rotating disc can be changed by adjusting the rotating speed of the motor, the display effect is improved, and operation is more convenient.

The invention discloses a virtual construction system based on BIM progress plan simulation, and the three-layer architecture comprises a data layer which is in butt joint with a DDE platform, a Prunus system and a PDM database through a standard interface; the technical support layer is built based on C # and NETCore technologies, and a data mapping engine and a business logic processor are arranged in the technical support layer; a service presentation layer, HTML, JS, CSS and VUE technology construction; the core function assembly comprises an LF space box model generator, a multi-dimensional data mapping engine, a four-view comparison analyzer and a dynamic simulation engine. The method has the beneficial effects that a qualitative leap is realized in the aspects of data integration and processing efficiency, and intelligent fusion of multi-source heterogeneous data is realized by establishing a standardized PBS-CBS-LF mapping rule base and an automatic data association engine; on the premise that progress semantics are reserved, the LF space box model enables Web end loading time to be effectively controlled, meanwhile, smooth interaction under the condition that the component scale is large is supported, and the performance dilemma of a traditional BIM system in a large scene is effectively solved.

The invention discloses an injection molding system for an expansion appliance. Comprising a model import program module, an undercut program module, a steel wire model generation program module, a base model generation program module, a fairing program module, an embedding box model generation program module, an injection molding hole program module, an expansion device model program module, a clamping groove generation program module and an output program module. By digitally designing the orthodontic device base plate model and the embedding box model matched with the orthodontic device base plate model, outputting the designed three-dimensional model, installing the steel wire and injecting the resin, the manufacturing of the expansion orthodontic device is completed, and the manufactured expansion orthodontic device is high in uniformity, smooth in surface, simple and efficient in manufacturing process and suitable for large-scale production.

The application provides a plug-and-play black box model watermark embedding method and device. The method comprises the following steps: step 1, generating a watermark detection network M_pty and a watermark verification sample X_v; and step 2, embedding the watermark detection network M_pty obtained in step 1 into a target network M_target which needs to be protected. The application realizes watermark embedding by inserting a trained exclusive watermark verification model into the target model, without fine-tuning the parameters of the target model, greatly guarantees the fidelity of the model, saves the training time and the training resource cost, has strong universality for models with different structures and different data sets, and can be applied to real scenes to process real tasks with complex DNN models.

The embodiment of the invention discloses an article recommendation black box model optimization method and device, equipment, a medium and a product. A specific embodiment of the method comprises the following steps: sampling article identifiers from an article identifier set to form a sampling set; executing an iteration step: determining actual response ranking information of each article identifier in the sampling set based on an article recommendation black box model; training the initial fitting model according to the article identifier set, the sampling set, the actual response ranking information and the initial model parameter information; through the updated initial model parameter information, screening an article identifier meeting a preset optimization condition from the article identifier set; adding the screened article identifiers to a sampling set; and in response to the fact that the execution frequency is equal to the preset iteration frequency, determining the at least one article identifier meeting the preset ranking condition as a recommended article identifier set. The implementation mode is related to big data, and the practicability of optimizing the article recommendation black box model and the accuracy of the article recommendation black box model are improved.

An IPTV EPG page compatibility method, system and electronic device, the method comprising: if there is no compatibility EPG code corresponding to the set-top box model in the database, the user end loads the EPG page based on the original EPG code, uploads the screenshot image to the server end after screenshot; the server end performs block recognition on the screenshot image; in response to the screenshot image being too large or too small, the size of the screenshot image is adjusted to be consistent with the target image, and the size adjustment information is determined; the key features are identified; if there is a difference between the actual key features and the corresponding target key features, the difference information is obtained, the compatibility EPG code is generated according to the size adjustment information, the difference information and the original EPG code, and the EPG page of the set-top box model is deployed based on the compatibility EPG code. The EPG page can be automatically compatible with various models of set-top boxes, effectively improving the applicability, reliability and efficiency of the EPG page compatibility, and greatly reducing the cost.

The invention relates to the technical field of chip modeling, and provides a chip Bin Model protection ring management method, which comprises the following steps: protection ring generation: based on a nearest principle, performing parameter copying on Bin Model with structural parameters that lmax is the same as lmin or wmax / Nfinmax is the same as wmin / Nfinmin, performing expansion generation on a maximum L column and a maximum W row, the Bin Model at the top right corner is generated by copying corresponding parameters of the original binning model Bin Model at the top right corner of the outermost ring based on the nearest principle; the protection rings are deleted, wherein after the protection rings on the outermost circle are removed, extended extension values set by a user are added to the parameters lmax, lmin, wmax and wmin or Nfinmax and Nfinmin of the remaining sub-box models Bin Model on the outermost circle; and automatic sorting: performing automatic sorting on the generated or adjusted Bin Model array, and supporting a sorting mode of combining a plurality of width dimensions W and length dimensions L. Simulation requirements can be met, performance stability, reliability and process adaptability of devices in chip Bin Model processing can be guaranteed, and modeling efficiency and precision are improved at the same time.

A method, system, and computer program product for an interpretable, feature-based post-hoc black box explainer for univariate time series forecasters are provided. The method receives a set of time series forecasting predictions. The set of time series forecasting predictions are generated from a set of black-box models trained with an initial data set. The method generates a set of features based on at least a portion of the initial data set. A set of surrogate models are trained based on the set of time series forecasting predictions and at least a portion of the set of features. A subset of surrogate models is selected. Based on the subset of surrogate models, the method generates one or more explanation outputs for time series forecasting predictions of the set of black-box models.

This invention discloses a method for updating terrain based on reamer depth and 3D terrain depth information. First, the collected terrain data is preprocessed to obtain a grayscale elevation map of the terrain, and a terrain model is generated based on this map, while simultaneously optimizing it using surface subdivision technology. Then, the reamer model is parameterized to obtain its main parameters, and these parameters are used to generate a bounding box model of the reamer. Finally, the depth information of the terrain model and the reamer model is acquired using a camera, and Boolean operations are performed on both to obtain an updated terrain grayscale map, thus regenerating a new terrain. This invention can achieve real-time dynamic deformation of the terrain using the depth difference information between the reamer and the terrain, effectively improving the efficiency of terrain deformation in dredging operation simulations.

The invention relates to the technical field of operation monitoring, and particularly discloses a facility operation monitoring method and system based on a grey box model, and the method comprises the steps: analyzing a received operation monitoring demand, so as to obtain a corresponding grey box model and associated monitoring data; acquiring facility simulation data based on the grey box model and the associated monitoring data; based on the facility simulation data, the associated monitoring data and the operation monitoring demand, generating an operation monitoring result through a pre-trained facility agent; wherein the facility agent is obtained based on a grey box model and facility historical data training. Through the technical scheme provided by the invention, the actual operation condition of the technological process executed by the industrial facility can be accurately described by constructing the grey box model, and the grey box model is utilized to perform agent training and cue word optimization in the agent application process, so that the intelligent analysis capability of the agent can be greatly improved.

The application discloses a kind of drawing generation method, device, equipment and medium of building three-dimensional model. Including: obtaining the three-dimensional model of target building, according to three-dimensional model to generate bounding box model;The model section information is generated to the cutting of bounding box model, and the symbolic information is generated to the symbolic processing of bounding box model;According to model section information and symbolic information to generate two-dimensional drawing. By obtaining the target range of three-dimensional model selected by user, generate bounding box model, for target view angle and preset cutting height to cut bounding box model to generate model section information, and the symbolic processing of target component in bounding box model is generated to generate symbolic information, better meet the construction demand, finally adopt view configuration scheme to control two-dimensional drawing expression, meet the demand of same model different expression effect for user, realize model and drawing expression real-time linkage, bring great flexibility and convenience for user.