71 results about "Model modification" patented technology

The invention relates to the technical field of bridge bearing capacity evaluation, and discloses an existing continuous beam bridge bearing capacity comprehensive evaluation method which comprises the steps that multi-source data are collected to construct a three-dimensional damage voxel field, and an initial finite element model is generated; simulating a heavy load identification control section, and designing an equivalent static load test scheme according to an equivalent internal force principle; executing a field static load test, collecting elastic response data and constructing an actual measurement response vector; calculating errors and iteratively adjusting parameters in a voxel field constraint range to finish model correction; and generating an operation space-time security envelope based on the correction model, and comparing the state in real time to output a control instruction. A three-dimensional damage voxel field is constructed, voxels are used as a normalized data carrier, discrete apparent and internal damage data such as three-dimensional laser scanning point cloud, ultrasonic velocity and rebound strength are mapped into a continuously distributed space field, and the space variability of the rigidity of an existing bridge material can be represented in a refined mode. And the accuracy of describing the physical current situation of the structure by the initial finite element model is improved.

The systems and methods disclosed herein monitor application (e.g., artificial intelligence (AI) model) operations using interactions between the application and a kernel. The systems and methods disclosed herein intercept, using a kernel interface, one or more function invocations transmitted from the application (e.g., an AI model without model modification). Event record(s) are generated for one or more functions to define process identifiers, resource interaction types, timestamps, and / or resource identifiers. Observed pattern(s) for the application are identified by comparing current event record(s) with previous record(s), and the identified observed pattern(s) are evaluated against reference pattern(s) to generate score(s). Data packet(s) that indicate observed pattern(s), corresponding score(s), and / or cryptographic digital fingerprint(s) of the one or more functions are generated. The data packet(s) are transmitted to distributed ledgers for immutable storage.

The invention discloses a BIM-based digital intelligent construction management method and system, and belongs to the technical field of construction management. A BIM collaborative management mechanism based on the combination of difference comparison, conflict detection, influence evaluation, approval control, version locking and recheck management is constructed; the problems that in the prior art, due to version control defects, multi-party model modification conflicts are not recognized, merging errors exist, construction errors exist and the like are solved, differences are automatically compared before the models are submitted, conflict areas are recognized, the influence of the conflict areas on the construction progress and space coordination is evaluated, merging can be achieved after approval of an approval system, and therefore the construction progress and space coordination accuracy is improved. According to the BIM collaborative construction method and system, a key area is constructed, a re-checking identifier is set for the key area, and meanwhile, related responsible person and operation information are recorded in the whole process to form a traceable data chain, so that the safety, accuracy and construction risk controllability of BIM collaboration are remarkably improved.

The invention relates to the technical field of multi-section and multi-BIM model file boundary connection review, in particular to a BIM model-based comprehensive consultation method and system, which can be used for quickly reviewing boundary connection and developing a corresponding review system. The problems that large-scale project boundary connection is complex, multi-section and multi-model file collaboration is not smooth, and more disassembly and modification are generated in the construction process are solved. According to the method, the BIM components related to boundary connection are pre-selected for highlight display or specific color setting, and the boundary connection of the model is pointedly examined. Through a multi-segment model boundary connection review opinion and model view angle association function, a space-time label and a VR view angle synchronization function, a problem component in a multi-segment multi-model file is quickly searched, and a review model modification condition is quickly checked; a new and old component mapping relation is automatically established by comparing characteristic values such as vertex coordinates and normal vectors, and automatic inheritance of highlight setting of updated components is achieved; and collision and disconnection pre-check is performed by using a spatial index algorithm, so that the review efficiency is improved.

Systems, apparatuses, methods, and computer program products are disclosed for providing accessible interface content. An example method includes receiving base interface content comprising one or more interface content components and determining a user population of interest and a platform of interest. The example method further includes generating one or more interface feature sets using a pre-processing model. The example method further includes modifying one or more interface content components for each interface feature set using feature modification models. The example method further includes generating modified interface content using a multimodal model based on the one or more interface feature sets and providing the modified interface content.

The invention belongs to the technical field of decoration engineering, and particularly relates to a BIM-based decoration supply chain data collaborative management method, which realizes deep fusion of model data and supply chain information by generating a commodity ID containing codes, models and parameters and establishing a unique binding relationship between the commodity ID and a BIM model component. Furthermore, difference detection is performed on model modification and inventory change by using a check code mechanism, and backtracking processing is triggered when the difference exceeds a threshold value, so that abnormal nodes are accurately positioned and repaired. According to the method, the synchronization efficiency and the data consistency between the BIM model and the supply chain database are effectively improved, the problem of collaboration obstacles caused by information asynchronization and version disorder is solved, and reliable data support is provided for digital management of decoration engineering.

The invention discloses an airfoil aerodynamic configuration adjusting method and device and a medium. Relates to the field of airfoil design, and solves the problems of high experiment cost and long iteration period caused by airfoil design optimization through a wind tunnel experiment. Geometric characteristics of the airfoil profile are converted into mathematical parameters through CST parameterization, airfoil profile performance data are rapidly obtained in combination with a preset selective neural network model, and the processes of physical model manufacturing, repeated blowing testing, CFD simulation, finite element analysis and the like in a traditional wind tunnel test are replaced. Hardware cost of wind tunnel equipment operation and maintenance, model processing and the like does not need to be invested, and material loss and time waste caused by physical model modification are also avoided. Besides, parameter disturbance, gradient optimization and geometric screening based on normal distribution are all realized through a computer algorithm, single-group parameter optimization can be quickly realized, and airfoil performance requirements under different working conditions can be quickly responded, while a traditional wind tunnel test needs several hours to several days for a single test, and the test needs to be rearranged after model modification.

The invention relates to the technical field of computer simulation, and provides a BIM (Building Information Modeling)-driven green performance real-time simulation analysis system, which is characterized by comprising a model analysis module used for importing and analyzing an original BIM file and extracting multi-source building component data; the model conversion module is used for constructing a unified scene model; the parameter association module is used for generating and outputting a synchronization parameter update package; the simulation calculation module is used for outputting a green performance index distribution diagram; and the interaction feedback module is used for converting the green performance index distribution diagram into a hot area visualization diagram, superposing and rendering the hot area visualization diagram into a unified scene model in real time, and when the user interaction operation is model modification and / or parameter analysis, generating a parameter modification instruction and sending the parameter modification instruction to the parameter association module so as to trigger a new round of simulation. Through a multi-source data dynamic fusion mechanism and a parameter bidirectional link technology, an interactive feedback closed-loop system from a BIM model to green performance analysis is constructed.

The invention discloses a BIM beam span modeling and reinforcement information management method and device, and the method comprises the steps: splitting an original beam member, and generating a plurality of beam span sub-members; the multiple beam span sub-components are combined according to a preset rule, and a beam component is generated; and on the basis of a design drawing, acquiring concentrated annotation reinforcement information and in-situ annotation information, and respectively writing the concentrated annotation reinforcement information and the in-situ annotation information into the beam component and the corresponding beam span sub-component to obtain a beam span BIM model with reinforcement information. According to the method, not only is the intuitiveness of model viewing improved, but also the workload of manual input is reduced through centralized labeling and storage of reinforcement information, and the calculation efficiency and accuracy are effectively improved. In addition, reinforcement information is effectively reserved in the model modification and transmission process, the risk of information loss and errors is reduced, and therefore the precision and efficiency of design and construction are greatly improved.

This invention provides an information processing device and a model modification method that improve the accuracy and reliability of radio wave propagation models. [Solution] The method involves acquiring a radio wave propagation model having a radio wave propagation area in a virtual space and objects within the area having predetermined radio wave propagation characteristics, acquiring radio wave propagation path information and reception level information for each receiving point in the model based on the simulation results of radio wave propagation, acquiring radio wave direction of arrival information and reception level information for each actual measurement candidate position in real space corresponding to the receiving point, deriving the difference between the reception level at the first receiving point and the reception level at the corresponding first actual measurement candidate position, extracting the second receiving point with the largest difference among the first receiving points, deriving the first direction of arrival received at the second actual measurement candidate position with the maximum reception level based on the direction of arrival information at the corresponding second actual measurement candidate position, extracting the first path that has a direction close to the first direction of arrival among the paths passing through the second receiving point, and correcting the radio wave propagation characteristics of objects on the first path.

The invention discloses an undercarriage beam model parameterization modeling method and device, a medium and a product, the method adopts Excel to construct part parameters in a part-level beam model, and quick modeling and efficient rigidity adjustment are realized by calling the part parameters; compared with a traditional manual modeling mode in which re-modeling is needed in single model modification, the process is tedious and the efficiency is low, the method has the advantages that the iteration efficiency of part parameters can be remarkably improved, the beam model parameter debugging period is greatly shortened, and powerful support is provided for efficient optimization of a design scheme.

The invention provides a model conversion method and device and a storage medium. The method comprises the steps of receiving a model conversion request sent by a client based on a designer canvas; the model conversion request comprises a domain model and a model type to be converted; loading a model conversion engine; calling a model conversion engine to convert the domain model into an application class model under the model type; and if the conversion is completed, storing the application class model into a model database. According to the embodiment of the invention, through a mechanism of converting the application model from the domain model and in cooperation with recording and storage functions of the conversion operation, tracing of the model modification history is realized, the user is guided to complete configuration selection and data input through the built-in and predefined model conversion engine, operations such as manual compiling of complex conversion scripts by the user are reduced, and the user experience is improved. The technical operation threshold is greatly reduced, omission or errors possibly caused by manual synchronous operation are effectively reduced through the mechanism, and the consistency maintenance level between different abstract levels is remarkably improved.

The invention relates to the technical field of computers, particularly provides a nuclear system model optimization method and system, a control device and a storage medium, and aims to solve the technical problem that a nuclear system model cannot be automatically optimized in the prior art. In order to achieve the purpose, the nuclear system model optimization method comprises the steps that the feature embedding amount of a to-be-optimized nuclear system model is obtained; based on a preset optimization algorithm, obtaining a to-be-optimized result of the to-be-optimized nuclear system model; analyzing the to-be-optimized result to obtain an optimization instruction sequence; and modifying the feature embedding quantity based on the optimization instruction sequence to obtain an optimized nuclear system model. According to the method and the device, the optimization result output by the optimization algorithm is analyzed into the model modification instruction for indicating the optimization of the corresponding parameters, so that the automatic optimization of the nuclear system model is realized, and the optimization efficiency is improved while the optimization effect is ensured.

The application discloses a feature-based rapid design modeling method for an aircraft structural member, which comprises the following steps: feature decomposition, feature structure analysis, feature template establishment, feature constraint creation, feature instantiation, feature surface simplification and correction, feature information extraction, generation of an assembly symmetric counter-piece and a non-complete assembly symmetric counter-piece, so that the computer can automatically create the relevant constraints between the base body and the created features by recognizing the position information of the created features and the base body, automatically generate the features by driving the CAA template program, freely modify the feature size parameters according to the user demand or increase or decrease the features on the original geometric body by Boolean operation to complete the variant design of the part, and freely extract the feature parameter information, thereby improving the freedom of the model modification of the aircraft structural member by the designer and the design efficiency of the aircraft structural member.

The invention relates to the technical field of building information models, in particular to a design collaborative modification method and system based on semantic packaging and BCF file transfer, and aims to convert a fuzzy natural language instruction into structured design modification semantics and transfer the design modification semantics through a BCF file, reduce communication cost and misunderstanding and ensure that the instruction is accurately understood; after approval is passed, the system can automatically execute model modification, low efficiency and error-prone performance of manual operation are avoided, and the advantages are more obvious especially for modification involving a large number of components or complex associations; by updating a BCF file and generating an XML log, information such as modification is completely recorded, and quality tracing, problem review and knowledge accumulation are facilitated; standardized semantics and BCF files provide common language and communication basis for designers with different professional backgrounds, and the cross-professional coordination process is simplified; and specific modification execution is automatically completed by the system, so that the dependence of common designers on complex BIM software operation commands is reduced.

The systems and methods disclosed herein monitor application (e.g., artificial intelligence (AI) model) operations using interactions between the application and a kernel. The systems and methods disclosed herein intercept, using a kernel interface, one or more function invocations transmitted from the application (e.g., an AI model without model modification). Event record(s) are generated for one or more functions to define process identifiers, resource interaction types, timestamps, and / or resource identifiers. Observed pattern(s) for the application are identified by comparing current event record(s) with previous record(s), and the identified observed pattern(s) are evaluated against reference pattern(s) to generate score(s). Data packet(s) that indicate observed pattern(s), corresponding score(s), and / or cryptographic digital fingerprint(s) of the one or more functions are generated. The data packet(s) are transmitted to distributed ledgers for immutable storage.

The application provides a game scene generation method and device, computer equipment and a storage medium. The method comprises: generating an initial game scene according to model position information corresponding to a three-dimensional model; reading a hierarchical relationship between three-dimensional models in response to a model modification instruction for a target model; determining an associated model corresponding to the target model according to the hierarchical relationship; and modifying the target model and the associated model according to the model modification instruction to obtain a target game scene. The method provided in the application embodiment can read the hierarchical relationship between models from a preset modeling software after receiving a model modification instruction for a target model in a game engine, thereby determining the associated model corresponding to the target model in the initial game scene of the game engine, completing the synchronous modification of the target model and the associated model, effectively avoiding the problem of scene disorder caused by the loss of model information, and improving the creation efficiency of the game scene.

A system, method, and computer program product for implementing deep learning software model modification is provided. The method includes monitoring operational performance of a software model. An expected confidence level associated with the operational performance is first determined and it is determined that an inference associated with the expected confidence level is below a selected range of inferences associated with assigning new feature data as candidate video data. A candidate sequence comprising video data associated with the candidate video data is received and a similarity between frames of the candidate sequence is determined. A frame comprising a highest similarity with respect to segments of candidate video data is selected and it is detected that the frame is not associated with additional frames stored within a full cache structure. The software model is retrained such that the operational performance is modified.

1. The name of this design product: chamfering tool. 2. Application of this design product: used for model modification, internal and external chamfering of cylinders and circular tubes. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: three-dimensional picture.

The application discloses a difference calibration method and device of an engine controller and electronic equipment, and comprises the following steps: determining whether a calibration data version corresponding to a controller is updated, determining new difference information of the controller in the case that the calibration data version is updated, wherein the controller comprises a main controller and a secondary controller; determining a difference calibration quantity of the controller based on the new difference information, generating target code according to the difference calibration quantity, and inserting the target code into a software integration baseline to obtain target calibration software; and calibrating the main controller and the secondary controller by the difference calibration quantity based on the target calibration software. The application can greatly improve the development and calibration efficiency, avoid meaningless repeated model modification, and improve software reliability by identifying the requirement of differential calibration, realizing the differential calibration quantity function value in the mode of automatic code without modifying the model and increasing the calibration quantity.

The present invention discloses a model synchronization processing method and system for slice data management. The method includes: obtaining in real time the modification operations of a target user on target model slice data; predicting, based on multiple modification operations of the target user, the possible modification operations of the target user in the next time period; determining, according to the possible modification operations and based on a prediction algorithm, the corresponding model modification method and model modification position; and generating modification synchronization data corresponding to the model modification method and the model modification position in the cloud model data of the target model slice data in a cloud server. It can be seen that the present invention can fully combine user modification operation prediction to improve the efficiency of cloud model data modification synchronization, improve the intelligence and automation levels of user model modification operations, and give users a better use experience.

The application relates to a kind of Modelica model-oriented incremental compilation method and system, the method comprises: the abstract syntax tree of Modelica model is obtained by keyword matching to the Modelica model text edited and modified;Abstract syntax tree includes the definition and behavior of each component in Modelica model;Determine the changed part of Modelica model editing and modification based on abstract syntax tree and the change of last time;The intermediate representation of the changed part of Modelica model is instantiated;Intermediate representation includes: the argument tree of component and component behavior list;The intermediate representation of the changed part and unchanged part of Modelica model is integrated, and the complete representation of Modelica model is obtained;Through incremental compilation, the modified part of model can be quickly identified and locally compiled, so that the whole model is avoided to be recompiled, and the compiling efficiency is significantly improved.At the same time, incremental compilation can also effectively reduce the output of compiling diagnosis information, so that users can more easily obtain the diagnosis information related to the modified part, and further improve the modeling experience.

The disclosure relates to identifier-based tracking and verification of machine learning model modifications, and in various examples, tracking and verifying modifications of a machine learning model using a unique identifier are described herein. For example, the systems and methods described herein may generate unique identifiers, such as checksums, hashes, etc., that track modifications to the model. For example, if a first version of the model is modified to generate a second version of the model, such as by performing fine tuning, optimization, quantization, and / or any other modification technique, data representing the modification may be obtained. The data may then be used to generate information describing the modification. Additionally, information may be encoded using one or more encoders and / or processed using one or more algorithms to generate a unique identifier for the second version of the model. The present disclosure also describes systems and methods for performing various tasks using unique identifiers.

The systems and methods disclosed herein monitor application (e.g., artificial intelligence (AI) model) operations using interactions between the application and a kernel. The systems and methods disclosed herein intercept, using a kernel interface, one or more function invocations transmitted from the application (e.g., an AI model without model modification). Event record(s) are generated for one or more functions to define process identifiers, resource interaction types, timestamps, and / or resource identifiers. Observed pattern(s) for the application are identified by comparing current event record(s) with previous record(s), and the identified observed pattern(s) are evaluated against reference pattern(s) to generate score(s). Data packet(s) that indicate observed pattern(s), corresponding score(s), and / or cryptographic digital fingerprint(s) of the one or more functions are generated. The data packet(s) are transmitted to distributed ledgers for immutable storage.

The present invention discloses a tool and method for bridging the 3D car model to the Unreal Engine platform based on Python. The tool comprises an output module for outputting the 3D car model as a 3D vehicle model that is fully compatible with the Unreal Engine platform; a modification module for modifying the Blender side code to transform the original skeleton binding process into a system automatic operation service; and a data detection and correction module for detecting and outputting the model, material and skeleton data information of the modified 3D car model. The present invention uses Python programming to design automation to replace the original Blneder for the 3D car model asset production process, and can process the model, material, skeleton and animation data of the 3D car model more quickly, greatly improving the efficiency. During the execution process, data that does not conform to the Unreal Engine platform specifications can be automatically corrected or prompted to the user, and the model data naming and asset packaging of the design specifications are designed to facilitate screening and matching data effects after the process is completed.

A method for generating customized model explanations via a model is disclosed. The method includes generating, via the model, a prompt in a natural language format based on a received request for an explanation of model outputs, the request including feature attributions and corresponding subject information; modifying, via the model, the prompt based on predetermined guidelines to generate a test response; validating, via the model, the test response by determining whether errors are detected in the test response; performing, via the model when the errors are detected, corrective actions that resolve each of the detected errors by altering the prompt; tuning, via the model, the altered prompt based on response attributes; and generating, via the model, a model explanation in the natural language format based on the tuned prompt.

The invention discloses a real-time design correction system in a virtual reality environment, and relates to the technical field of virtual reality technology and building information model interaction, and the system comprises a VR interaction terminal which is used for presenting a virtual design scene and collecting user interaction information, and the VR interaction terminal comprises a display device and an interaction information collection device; the BIM data processing module is in communication connection with the VR interaction terminal and is used for storing building information model data and executing a design parameter modification instruction; and the multi-mode input module is electrically connected with the VR interaction terminal and comprises a gesture recognition device and a voice recognition device. A two-way real-time communication channel between the VR interaction terminal and the BIM data processing module is established through the data synchronization module, synchronous linkage of VR interaction and BIM modeling is achieved, a user can complete parameter adjustment and check the effect in real time without interrupting immersive experience, the problem of interaction operation and model modification separation is fundamentally solved, and the user experience is improved. And the consistency of design verification is obviously improved.

The systems and methods disclosed herein monitor application (e.g., artificial intelligence (AI) model) operations using interactions between the application and a kernel. The systems and methods disclosed herein intercept, using a kernel interface, one or more function invocations transmitted from the application (e.g., an AI model without model modification). Event record(s) are generated for one or more functions to define process identifiers, resource interaction types, timestamps, and / or resource identifiers. Observed pattern(s) for the application are identified by comparing current event record(s) with previous record(s), and the identified observed pattern(s) are evaluated against reference pattern(s) to generate score(s). Data packet(s) that indicate observed pattern(s), corresponding score(s), and / or cryptographic digital fingerprint(s) of the one or more functions are generated. The data packet(s) are transmitted to distributed ledgers for immutable storage.

The embodiment of the invention provides a data set labeling method, electronic equipment, a storage medium and a program product. The method comprises the steps of deploying an open source data set labeling model to a preset container cluster and / or deploying a preset artificial intelligence model to the preset container cluster according to model modification parameters; the effective data set is uploaded to object storage for segmentation and encryption storage, and a to-be-labeled data set is obtained; according to the labeling task information, when it is detected that a labeling mode is model labeling, calling a to-be-labeled data set according to the labeling task information, and calling a preset artificial intelligence model and / or an open source data labeling model from a preset container cluster as a target labeling model; decrypting the data set to be labeled; and inputting the decrypted data set into the target labeling model to generate labeled data, and storing the labeled data into the object storage. According to the method, automation and configurability of the labeling process are achieved, and high flexibility and safety are achieved.

The present invention discloses a method and device for intention recognition through slot filling, which relates to the field of computer technology. A specific implementation manner of the method includes: determining the scenario of the user input information, and then obtaining the standard question forms of each service slot within the scenario; determining the similarity between each standard question form and the user input information, and obtaining the standard question form with the highest similarity; taking the service slot value corresponding to the standard question form whose similarity meets the preset condition as the service slot value of the user input information, so as to recognize the intention of the user input information. This implementation manner can cope with business policy changes through service slot recognition and slot filling, avoid model modification, improve the accuracy and stability of the model, and reduce the operation cost.