59 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.

Typical autonomous systems implement black-box models for tasks such as motion detection and triaging failure events, and as a result are unable to provide an explanation for its input features. An explainable framework may utilize one or more explainable white-box architectures. Explainable models allow for a new set of capabilities in industrial, commercial, and non-commercial applications, such as behavioral prediction and boundary settings, and therefore may provide additional safety mechanisms to be a part of the control loop of automated machinery, apparatus, and systems. An embodiment may provide a practical solution for the safe operation of automated machinery and systems based on the anticipation and prediction of consequences. The ability to guarantee a safe mode of operation in an autonomous system which may include machinery and robots which interact with human beings is a major unresolved problem which may be solved by an exemplary explainable framework.

The invention provides a multi-agent black-box strategy analysis method and system based on a behavior tree, and relates to the technical field of agents, and the method comprises the steps: obtaining an expert black-box strategy model based on an observation data set through a multi-agent reinforcement learning algorithm and a rule mapping relation between learning environment observation data and execution actions; performing feature distillation on the environmental observation data, establishing a trajectory data set consisting of feature vectors after distillation and corresponding execution actions, and fitting a decision tree; recursively traversing nodes of the decision tree, generating a feature condition and an execution state of each node of the behavior tree, and obtaining a condition mapping set; performing black box strategy analysis on currently input environment observation data to obtain a final mapping path, a state sequence and an execution action, and introducing a decision tree fitting degree reward item into a reward function of reinforcement learning; according to the method, the advantages of the neural network, the decision tree and the behavior tree are integrated, and interpretable analysis of the black box model decision process is realized on the premise of keeping the model performance.

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 belongs to the technical field of heat pump system modeling, and particularly relates to a heat pump modeling method based on black box model and white box model coupling, which comprises the following steps: inputting structure parameters, working condition parameters and setting parameters of a heat pump system; determining an initial population of the evaporation temperature and the condensation temperature based on a meta-heuristic intelligent algorithm; determining state parameters of the working medium at different temperatures and pressures; calculating the heat exchange area of the heat exchanger based on a white box model and black box model coupled hybrid model; whether convergence conditions are met or not is judged, and if the convergence conditions are not met, evaporation temperature and condensation temperature populations are regenerated through an intelligent solver based on a meta-heuristic algorithm; if the convergence condition is met, a calculation result is output, and calculation of the heat pump system performance is completed. By coupling the black box model and the white box model, the prediction precision of the heat pump system is remarkably improved.

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 discloses an HFSS-based auxetic structure wave-absorbing material simulation method and system, and relates to the technical field of electromagnetic wave absorbing materials, and the method comprises the steps: obtaining the effective dielectric constant and magnetic conductivity of a to-be-simulated wave-absorbing material; based on the effective dielectric constant, the magnetic conductivity and preset auxetic structure parameters, establishing a multilayer auxetic structure simulation model of the to-be-simulated wave-absorbing material on an HFSS simulation platform; constructing an air box model for simulating an external environment on the HFSS simulation platform; and based on preset simulation parameters, solving, optimizing and simulating the multilayer auxetic structure simulation model in the air box model through an HFSS simulation platform to obtain a reflection loss value of the to-be-simulated wave-absorbing material. The technical problem that an existing wave-absorbing material is difficult to consider the wave-absorbing performance and the mechanical performance at the same time is solved.

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 present invention belongs to the technical field of power systems, and provides a method for identifying the inertia and damping of a power system. By respectively inputting the real-time PMU sequence, environmental information, and system load of the target power system into a black-box model and a white-box model, the first inertia and the first damping output by the black-box model, and the second inertia and the second damping output by the white-box model are obtained; the inertia of the target power system is determined based on the first inertia and the second inertia, and the damping of the target power system is determined based on the first damping and the second damping. The present invention can obtain more accurate identification results of inertia and damping, improve the real-time online situation awareness and prediction ability of the power grid, effectively improve the frequency characteristic perception ability in areas with a high proportion of new energy power sources and the receiving end areas of DC interconnected power grids, further improve the active power control ability and frequency safety of the system, ensure the safe and stable operation of the power grid, and provide a basis for power system operation decision-making in an uncertain environment.

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 invention provides a volume model generation method and apparatus, and an electronic device. The method comprises the steps of obtaining a target three-dimensional model and a bounding box model corresponding to the target three-dimensional model; the target three-dimensional model is located in the bounding box model; the bounding box model is surrounded by a plurality of surface planes; the bounding box model comprises a plurality of voxels; emitting rays to the target three-dimensional model based on the plurality of surface planes, and determining a target intersection point position of the rays and the target three-dimensional model; determining a target voxel from the plurality of voxels based on a target intersection point position of the ray and the target three-dimensional model; and generating a volume model corresponding to the target three-dimensional model based on the target voxel. According to the method, the volume model of the target three-dimensional model can be approximately generated without considering whether the target three-dimensional model is closed or not, and details such as surface dents of the target three-dimensional model can be reserved in the volume model, so that the application universality is improved on the basis of ensuring the accuracy of the volume model.

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 toys for children, and particularly discloses a child-interesting seabed-shaped child toolkit which comprises a base, a connecting rod in a seaweed shape and a hammer head, a ship anchor model, a treasure box model, a hippocampus model and a crab model are arranged on the base, a mounting groove is formed in the hippocampus model, a limiting rod is fixedly arranged in the mounting groove, a mounting threaded hole is formed in the hammerhead, the limiting rod extends into the mounting threaded hole and is in threaded connection with a pressing ring, the pressing ring abuts against the hammerhead, and the hammerhead is in threaded connection with the limiting rod. A threaded rod is arranged at the bottom end of the connecting rod, the threaded rod is connected with the base in a threaded mode, the threaded rod is matched with the installation threaded hole, and the child tool bag solves the problem that in the prior art, the variety of experienced child tool bags is single.

The present invention proposes a modeling method for controllable nano-gradient polycrystalline materials based on the Voronoi tessellation method. First, according to parameters such as the gradient direction, grain size, and number of grain layers required by the user, a box model of a perfect cube is initialized and generated, and the central coordinates of each perfect cube grain are saved. Then, the one-dimensional coordinates in the gradient direction and the two-dimensional coordinates of each grain in the non-gradient direction are merged to obtain a node list of the perfect cube grains. Next, random perturbations are applied to the node coordinates, and it is ensured that the nodes are all within the model box. Finally, the node list after adding perturbations is passed into the ATOMSK software to establish a polycrystalline model, and all atoms within the simulation box are saved and output as a model file to end. The present invention can construct nano-crystalline models of different sizes and gradient ratios; simplify the process of constructing the gradient crystal model and the parameter screening process, and greatly improve the efficiency of obtaining the nano-polycrystalline material model.

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.