274 results about "Model Number" patented technology

The invention relates to a method for predicting the load and validating material parameters of a mechanical object (10), such as in particular a rim (20) of a vehicle, in a load situation, such as a pressure test, comprising: - Creating a training dataset (220) wherein the training dataset (220) includes 3D models, CAD models, images, drawings, sensor signals from sensors (280) and other data such as material parameters, parameter values ​​and / or properties of different designs and geometries of the object (10); - Training (S20) a simulation model (350) with the training data set (220); - Generating (S30) input data (250) with user-defined requirements for a load prediction and / or validation of material parameters of the mechanical object (10) and passing the input data (250) to the trained simulation model (350), wherein the input data (250) contains material parameters, parameter values ​​and / or properties of the object (10); - Performing (S40) a simulation and generating simulation results (370) from the simulation model (350), wherein the simulation results (370) comprise a force-displacement curve (375); - Generating (S50) output values ​​(550) by analyzing the simulation results (370), wherein the output values ​​(550) include a load prediction and / or material parameters.

An electronic device for multimodal temporal-axis fusion artificial intelligence models is proposed. The electronic device comprises a storage unit, and a processor, wherein the processor may obtain a plurality of first visual features respectively corresponding to a plurality of different time points or time periods from a video, obtain a plurality of text features respectively corresponding to the plurality of time points or time periods from text, obtain a plurality of first local fusion features, respectively corresponding to the plurality of time points or time periods, from the plurality of first visual features and the plurality of text features by fusing the first visual features and the text features, which correspond to a same time point or time period, and obtain at least one global fusion feature from the plurality of first local fusion features.

The invention provides a training strategy determination method for a computing power cluster using chips of various models in a mixed mode and a related device, and relates to the technical field of graphic processing chips, computing power clusters, large models, model training and the like. The method comprises the following steps: determining each target model chip forming a computing power cluster and a corresponding quantity proportion; for each target model chip, determining performance evaluation of the target model chip in a preset performance type and weight distribution of each performance type under each alternative training strategy; for each alternative training strategy, performing weighting processing on the performance evaluation under each corresponding preset performance type in combination with each corresponding number proportion by using the weight distribution, matched with each target model chip, of the alternative training strategy, so as to obtain corresponding comprehensive training evaluation; and determining a target training strategy based on the evaluation parameter of each comprehensive training evaluation. By applying the scheme, the training strategy which is suitable for being used by the computing power cluster which mixedly uses multiple types of chips during training of a large model can be quickly determined at low cost.

Sharing video footage having audio / video (A / V) recording and communication device (A / V device) model identifiers in accordance with embodiments of the present disclosure are provided. In one embodiment, a method for communicating in a network is provided, the method comprising receiving, from a first audio / video (A / V) recording and communication device (A / V device), at one or more servers in network communication with the first A / V device, first image data captured by a camera of the first A / V device; receiving, from a first client device associated with the first A / V device, at the server(s), a command to share the first image data with a network of users; determining a model identifier associated with the first A / V device; and transmitting the first image data and the model identifier associated with the first A / V device to a second client device of at least one user of the network of users.

The invention discloses a computer system based on a cross-model Internet of Things equipment access efficiency calculation model, which integrates an equipment performance sub-model, a network state sub-model and a response prediction sub-model. The identification module is used for identifying a device inherent identifier of the Internet of Things device to be accessed so as to obtain a response time statistical characteristic value and a historical communication parameter set; the prediction module is used for acquiring network state parameters in real time, calling the response prediction sub-model to calculate expected response time, and optimizing the historical communication parameter set to generate an initial communication parameter set; the comparison module is used for monitoring the actual response delay and the data packet loss rate of the current access equipment and obtaining a delay deviation value; and the adjusting module is used for dynamically adjusting the bandwidth allocation strategy in the initial communication parameter set when a preset condition is met, and synchronously updating the data analysis priority to generate a target communication parameter set. According to the invention, differentiated access control of different types of Internet of Things equipment can be realized.

The invention relates to the technical field of intelligent locks, and discloses a bill of material generation method and device of an intelligent lock, computer equipment and a medium, the method comprises the following steps: obtaining service information of the intelligent lock in a preset range of a service system, the service information comprising repair data and installation data of a plurality of lock models; determining an initial bill of materials according to the repair data, and querying historical fault data of each lock model; on the basis of the installation data and the historical fault data, predicting accessory information required by each lock model in a future time period to obtain a predicted bill of materials; and constructing a target bill of material of the service system by using the initial bill of material and the predicted bill of material. According to the invention, the problems that the intelligent lock accessories are violently fluctuated due to the interference of multiple factors, the coordination of reasonable resource allocation and user experience guarantee is difficult to realize, and the requirements of maintenance accessory inventory management on accuracy and high-efficiency technical indexes cannot be met are solved.

The invention discloses a classification code and description code combination-based electronic material coding method and system, and the method comprises the steps: formulating an 11-bit pure digital coding rule, taking the first three bits as classification codes, and distinguishing the paster / plug-in packaging, basic types and specific types of materials; the last eight bits are description codes and are divided into two types according to material characteristics: for materials with nominal values, such as resistors and capacitors, nominal value codes converted based on a scientific counting method are combined with conventional attribute codes of precision, packaging and the like; for materials without nominal values, such as chips, PCB finished products and the like, the combination of model codes and serial number codes is adopted; a classification code and a description code are automatically generated by analyzing the BOM and are compared with a database to process conflicts. According to the method, the coding rule has intuition and uniqueness, the problems that traditional serial number coding is poor in readability and prone to code repetition are effectively solved, and the efficiency and accuracy of electronic material management are remarkably improved.

Provided are a domestic operating system-based automatic deployment method and system for an industrial internet platform, a computer device, and a computer readable storage medium, relating to the technical field of automatic deployment. The deployment method comprises: installing an automatic deployment tool, and the tool automatically identifying the model and version of a domestic operating system of a current system unit, and automatically installing a basic component of a corresponding version; building a local software repository by means of the tool, the tool automatically identifying a platform deployment mode, and automatically downloading a complete installation package of a platform locally and publishing same to the local software repository, and upon completion, the tool automatically starting a service discovery and registration function; deploying common components of the platform by means of the tool, and the tool automatically identifying the platform deployment mode, and automatically installing specified common components; checking in real time by means of the service discovery and registration function of the tool whether all the common components of the platform have been installed; and the tool using a single image to automatically deploy a plurality of service application services of the platform.

The invention relates to a power transformation equipment defect text standardization method and system in combination with deep semantic matching and a knowledge graph, and the method comprises the steps: inputting an actual power transformation equipment defect text into a text entity recognition model, and extracting an entity in the defect text as a to-be-standardized entity, querying a device model and a defect level corresponding to the defect text, and obtaining a defect device type according to the device model; all the standard descriptions corresponding to the entity types in the defect standard are used as candidate standard entities, the candidate standard entities and the to-be-standardized entities form entity pairs in sequence, the formed entity pairs are input into the FTS-BERT, and the standard descriptions of the entities are obtained through matching; constructing a power transformation equipment defect knowledge graph; in combination with FTS-BERT and knowledge graph search, standardizing a power transformation equipment defect text into a unified form; and adding the new knowledge into the original knowledge graph through incremental updating. The method and the system can automatically and effectively complete a power transformation equipment text standardization task, and solve the problem that defect text data is not standard due to manual recording.

A system of determining information about items on a webpage uses a computer for analyzing items on the webpage to find matching products, and analyzes the items on the webpage which do not match to existing products, by identifying the product type of the items which do not match to the existing products, and locating and classifying predefined categories of the product type to train a named entity recognition model using elements of the predefined categories. The predefined categories can include title, price, brand, model number, and an attribute specific to the product type. For example, if the product type is a television, then the brands are known brands of the television, and the attribute is a size of the television. The named entity recognition model trains using a labeled data set to recognize other similar unknown brands based on the training.

The present invention provides a method for automatic cylinder selection, comprising the following steps: S1 classifies the major categories of cylinder models and the auxiliary components required for the major categories of cylinder models, and forms a database with the codes, names and brands corresponding to the cylinder models, and the codes and brands corresponding to the auxiliary components for storage; S2 inputs the cylinder model m-x required and the number y of the corresponding cylinder models; S3 obtains the auxiliary components and the number z corresponding to the major categories of the cylinder models; S4 obtains the total number R of the first category of auxiliary components of the corresponding model; S5 determines the number of the second category of auxiliary components; S6 forms a BOM table; S7 forms a cylinder automatic selection matching table; S8 stores the cylinder automatic selection matching table. Using the method of the present invention, the name, model, code and brand of the auxiliary components can be accurately and quickly determined according to the model and quantity of the cylinder, and the number and brand of the cylinder can be accurately and quickly determined.

The invention provides a PDM system digital-analog object automatic creation method and system based on part number driving, and relates to the technical field of automobile data processing, and the method comprises the steps: determining a part needing digital-analog creation, submitting a digital-analog creation application, automatically distributing a part number by a BOM system, and creating a part main data attribute; the BOM system sends a creation request to the PDM system, the PDM system calls a digital-analog encoder after receiving the creation request of the BOM system, the digital-analog encoder automatically allocates a digital-analog number according to a part number and a part main data attribute transmitted by the BOM system, and the digital-analog number and the attribute are returned to an attribute field of a part main data object of the BOM system through an interface of the BOM system and the PDM system; and the PDM system calls the digital-analog template library, automatically matches the corresponding digital-analog and drawing templates according to the digital-analog numbers and the part main data attributes transmitted by the BOM system, and creates complete digital-analog numbers and data set objects according to the called digital-analog and drawing templates.

The invention provides a maintenance spare part prediction system based on a big language model plug-in knowledge base, and the system comprises the steps: carrying out the information data extraction and preprocessing of a historical work order, and obtaining a preprocessing text; performing semantic vector conversion and association binding processing on the preprocessed text to obtain a vector database; extracting attribute information from the new work order, and performing semantic vector conversion on the attribute information to obtain a query vector; retrieving a work order related to the query vector from a vector database; semantic reasoning is carried out on a new work order and a related work order, a maintenance spare part prediction result is generated, natural language fault description and equipment model information in a maintenance record are fully utilized, natural language information is fully understood in the face of complexity and diversity, the spare part prediction accuracy and practicability are improved, reasonable configuration of maintenance resources is achieved, and the maintenance efficiency is improved. Spare part inventory cost and inventory waste are reduced, and maintenance efficiency is improved.

The invention provides a product test scheme design method and device and a storage medium. Establishing a standard test case library and a definable test case library; when a test scheme is constructed, an information file of a to-be-tested product is provided for the large language model, and the large language model is restrained through a first system cue word to analyze the information file to obtain a model and a version of the to-be-tested product; on the basis of test function instructions of the test cases in the library, standard to-be-tested functions are classified and summarized from the information file, and the to-be-tested functions, newly-added to-be-tested functions and respective sources can be defined; the large language model matches a target standard test case and a target definable test case suitable for the to-be-tested product from a standard test case library and a definable test case library based on the standard to-be-tested function, the definable to-be-tested function, the version and the model under the constraint of a second system cue word; and creating a test scheme task by combining a definable to-be-tested function source, a newly added to-be-tested function and the source of the newly added to-be-tested function of the matching target definable test case.

Techniques for enabling a task-agnostic continual learning (CL) system to handle an unlimited number of tasks and / or classes are disclosed. The weights of a pre-trained encoder are frozen. A memory pool of models / classifiers is accessed. The pre-trained encoder encodes an input. The encoded data is used to obtain a top-k nearest set of models from the memory pool. These models operate using the encoded data. Their output is decoded into a sparse matrix, which is then aggregated. The top-k nearest set of models are then updated based on the aggregation. In doing so, the CL system is now able to handle a new class or a new task.

A method for a system provider in a communication with a user over a computer network, allowing a determination of an optimum dimensioned breast flange for employment by the user with a breast pump. The identification of a model identifier of a flange which is best dimensioned for the physical characteristics of the breast of the user is determined from measurements taken and provided by the user remotely.

The invention relates to the technical field of interface making, in particular to a personalized interface generation method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring historical use preference data of a user terminal; constructing a user portrait according to the historical use preference data; determining at least one interface component suitable for the vehicle model from a preset user interface component library, and creating a user terminal interface according to the at least one interface component; and adjusting the user terminal interface according to the user portrait. By adopting the method, the personalized interface of the vehicle end can be automatically created according to the specific label of the user, so that the purposes of optimizing the user experience and increasing the user stickiness are achieved.

The invention discloses an equipment identification starting method, device and system based on a multi-equipment tree file. The method comprises the following steps: obtaining a model support list pre-written into a boot and a Flash memory storing an equipment tree file corresponding to hardware equipment; starting the boot of the system; reading an EEPROM (Electrically Erasable Programmable Read-Only Memory) of the target hardware Judging whether the ID is one of IDs stored in a model support list, if the ID is one of the IDs stored in the model support list, setting an environment variable, and calling and loading an equipment tree file corresponding to the ID of the target hardware equipment in a system from a Flash memory; and starting the kernel to finish system startup. According to the method and the device, the corresponding device tree file can be loaded from the Flash memory only when the device is judged to be one of the preset devices, so that a plurality of device tree files can be placed, and the starting speed of the system can be increased.

The invention discloses a device upgrading method, system and device and a computer readable storage medium, and relates to the technical field of embedded device upgrade.The device upgrading method comprises the steps that after an upgrading mirror image file uploaded by a user is received, the upgrading mirror image file is analyzed to automatically extract a to-be-upgraded firmware identifier and a to-be-upgraded component identifier; according to the method, the matched reference upgrading process of the to-be-upgraded component identifier in the pre-stored corresponding relation and the link information of the reference component are utilized, after firmware identifier consistency verification is carried out, the link information of the reference component is embedded into the reference upgrading process and then is automatically executed, operation and maintenance personnel do not need to manually screen scripts and configure communication parameters, and the efficiency is improved. And the risk of script calling errors and link parameter input errors is avoided. The technical problem of upgrade errors caused by model misjudgment and script calling errors in the manual upgrade process is solved, and the technical effects of non-inductive upgrade of the control unit of the reference component and improvement of the upgrade efficiency are achieved.

The invention belongs to the technical field of source measurement unit debugging, and particularly relates to an efficient source measurement unit debugging device and method. The device comprises a source measuring unit, a debugging and testing device, a testing instrument and an upper computer, the method comprises an automatic calibration method of the adjusting and measuring device and an automatic measurement method of the adjusting and measuring device. According to the invention, by developing the adjusting and testing device capable of automatically switching channels, equipment required by testing is connected with the channels of the source measuring unit, so that automatic construction of the channels of the testing equipment and the source measuring unit is realized, and then automatic calibration and automatic testing of indexes are completed; meanwhile, a test database is constructed, automatic gathering of key information such as models, batch numbers, serial numbers, test numbers, test functions, test standard values and actual test values is achieved, the product debugging and testing efficiency is greatly improved, and the testing personnel and time cost is reduced.

To provide an information processing device capable of searching for a component constituting a mobile body or a candidate of the component.SOLUTION: An information processing device 1 acquires information on at least one of a mobile identification number in a predetermined mobile body and a combination of a model designation number and a classification number, identifies a component constituting the predetermined mobile body associated with the information on at least one of them stored in a storage section, and outputs information on the identified component. The information processing device 1 identifies, by acquiring the information on the mobile identification number or the information on the combination of the model designation number and the classification number, the component on the basis of any of the acquired pieces of information. The information processing device also identifies, by acquiring the information on the mobile identification number and the information on the combination of the model designation number and the classification number, the component on the basis of the information assigned priority between both pieces of information.SELECTED DRAWING: Figure 1

The invention provides a PCBA test system and test method, and the method comprises the steps: finding a first test file based on a first configuration file if the first configuration file is found according to a first tool identifier; and issuing the first test file to the first test tool. And the first test tool tests the PCBA to be tested based on the first test file. And the data collector reports the collected first test result to the upper computer. And the upper computer displays the first test result. In this way, a plurality of test files corresponding to the test tool are actually stored in the upper computer, if a certain test tool needs to test the PCBA to be tested, only the corresponding test files need to be searched according to the tool identifier, and then the test file matched with the model of the PCBA is searched from the test files. The whole test process does not need to develop a test tool and does not need to carry out complex programming, so that the universality of the PCBA test system is improved, and the PCBA test efficiency is improved.

The invention relates to the technical field of modeling, in particular to a bolt and nut fastener quick modeling method which comprises the following steps: S1, a bolt and nut fastener model early-stage planning and parameter presetting stage: S1.1, drawing a three-dimensional model of a bolt and nut fastener by using three-dimensional design software; s1.2, setting each key parameter of a bolt and nut fastener, and realizing sketch feature and parameter association by using a'formula plate 'editing constraint function in a three-dimensional software system; and S1.3, according to a national fastener standard model series, assembling and associating the parameters of the bolt and nut fastener with the sizes in the standard model series. According to the method, one-key calling, one-key adjustment and one-key assembly are achieved through early-stage parameter planning and setting, standard association and later-stage template calling and parameter adjustment, the modeling efficiency and the model precision are improved, the design period is shortened, the cost is reduced, and the model display effect and the user experience are enhanced.

The invention relates to a PCell code data enhancement method and system and a storage medium, and belongs to the technical field of artificial intelligence training data construction.The PCell code data enhancement method comprises the steps that an LLM large model unit is constructed, and an interface key value pair vector database is constructed; retrieving a vector database and a process rule base based on the PCell code structure template and the code configuration information to generate a first PCell code sample; performing logic error correction on the first PCell code sample to obtain a second PCell code sample, and performing compilation error correction to obtain a third PCell code sample; and performing instantiation error correction on the third PCell code to obtain a fourth PCell code sample, and storing the fourth PCell code sample in a sample library. According to the method, PCell code samples of different types and models of devices can be automatically generated, a large number of high-quality PCell code samples can be generated through multiple error correction, and rapid amplification of PCell code sample data is achieved.

The invention relates to a thermal power generating unit operation index data evaluation method and system, and relates to the field of data analysis, and the method comprises the steps: obtaining an element service duration list, operation environment monitoring information and operation instruction time sequence information of a first bit number thermal power generating unit of a target model; when the element service duration list is inconsistent with the element reference service duration list, or the operation environment monitoring information is inconsistent with the reference operation environment, taking the element reference service duration list, the reference operation environment and the operation instruction time sequence information as constraints, and based on a historical sample library, retrieving an operation index record data set meeting the target model; and performing mode analysis on the operation index record data set, obtaining an operation index reference state, correcting an operation index monitoring state, obtaining an operation index updating state, and executing operation index data evaluation. The technical problems that thermal power generating unit assessment index data is not accurate, and evaluation result limitation is caused by only considering operation differences are solved.

The invention relates to the technical field of intelligent terminals and network testing, in particular to an automatic testing system and method based on an AI large model.According to the system, parameters are configured and manually rechecked according to the testing type and the network environment, knowledge base data are retrieved through the RAG technology, an optimal testing case combination is dynamically generated in combination with the testing stage, the equipment model and the like, and the testing efficiency is improved. Testing of reliability, stability, performance and the like is automatically executed, key indexes are collected and re-checked by professionals after AI intelligent merging analysis, finally, a standardized report is output and fed back to a data optimization system and a knowledge base, a computing power-model-agent collaborative system is constructed, and automation of a whole test link is achieved; according to the method, the test period is shortened by more than 50%, the test precision and coverage are remarkably improved, the method is adaptive to multiple types of terminals and multiple scenes, test resources are optimized, it is ensured that results are objective and repeatable, and the method has sustainable evolution ability.

The invention relates to the technical field of electronic design automation, and provides a PCB schematic diagram component information extraction method based on text recognition and a graph algorithm. The method aims at solving the problem that component models in a complex PCB schematic diagram are extracted inaccurately, and the method mainly comprises the steps that preprocessing of binaryzation, denoising and text area enhancement is conducted on the PCB schematic diagram, and an optimized image is generated; performing character direction detection and rotation processing on the obtained optimized image, inputting the fine-tuned OCR model to perform multi-scale character recognition, and outputting a recognition result containing character content, coordinates and confidence; constructing a graph model containing MCU position nodes and character block nodes, and establishing associated edges through a weight calculation module; performing global optimal matching on the graph model based on a Hungary algorithm, and screening associated pairs of the MCU and the character blocks; and performing editing distance calculation on a matching result and a preset MCU model template library, correcting character confusion errors through a multi-stage verification mechanism, and outputting final component information.

The invention discloses a terminal performance testing method and device, computer equipment and a readable storage medium, relates to the field of automatic testing, only enhances the ability of evaluating the comprehensive performance of a tested terminal, and particularly pays attention to the user experience in a game scene. The method comprises the following steps: starting a to-be-tested terminal by adopting a manipulator of a specified model in a preset test environment; executing a plurality of pre-constructed test cases based on the manipulator to obtain an item score associated with each test case, the plurality of test cases being used for performing a performance test on the to-be-tested terminal, and the plurality of test cases including a software test case and a hardware test case; according to an item weight and a calculation mode indicated by a preset performance scoring standard, performing weighted calculation on the item score associated with each test case to obtain a performance score corresponding to the to-be-tested terminal; and associating the performance score with the to-be-tested terminal and generating a test report.

The invention relates to the field of BIM modeling design, in particular to a drawing method of a support hanger, computer equipment and a storage medium. The method comprises the following steps: acquiring a support model and a construction specialty of each support hanger in a global modeling environment; determining a first serial number of each support hanger in the global modeling environment according to the support model and the construction specialty of the support hanger, and generating a support structure drawing of the support hanger corresponding to each first serial number; determining a plurality of target supports and hangers in each construction project in response to a project numbering request of a user; determining a second number of each target support hanger according to the support model and / or the construction specialty of the target support hanger; performing duplicate removal screening on the first numbers corresponding to the plurality of target supports and hangers, determining a plurality of target first numbers, and exporting a support structure drawing corresponding to each target first number; and generating and exporting a corresponding project overview drawing based on the second number. While the drawing is lightly output, the effectiveness of the drawing on construction guidance is improved.

The present invention discloses a device mounting method, which is executed in a computing device. The method includes: obtaining a device keyword of the device, where the keyword includes a manufacturer identifier, a device model, and / or a serial number; obtaining the permission corresponding to the device keyword; authorizing the obtained permission to the device, and mounting the device to the computing device. According to the technical solution of the present invention, the management and control of device permissions are realized.