195 results about "Model Number" patented technology

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.

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 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.

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 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 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 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.

A system is provided with a controller configured to receive a computer model of a mold configured to cast a part. The computer model has a variable wall thickness of the mold thermally tailored to a geometry of the part. The controller is configured to control a manufacturing system to produce the mold based on the computer model.

The invention discloses a circuit knowledge graph library construction and application method, electronic equipment and a storage medium. The circuit knowledge graph library construction method comprises the following steps: carrying out semantic function module extraction on an original electronic circuit drawing uploaded to electronic equipment; performing standardization processing on the extracted function module to obtain a standardized function module template; and constructing a circuit knowledge graph library by taking the standardized functional module template as a basic storage unit. The invention provides a brand-new data processing mode with a reusable functional module as a core, circuit knowledge is precipitated into reusable functional module knowledge units by performing semantic and modular disassembly and standardized reconstruction on electronic circuit drawings, and on the basis, the reusable functional module knowledge units are obtained. A modularized cross-equipment-model circuit knowledge graph database is constructed, and finally, cross-equipment-model circuit comparative analysis capability is provided for maintenance personnel, and powerful support is provided for intelligent fault reasoning when the maintenance personnel face brand-new unknown equipment.

The invention discloses an equipment energy consumption statistical method and device, a storage medium and a computer program product, and relates to the field of smart home, and the equipment energy consumption statistical method comprises the steps: determining a first equipment model of first target equipment; a first algorithm model is matched according to the first equipment model, and the first algorithm model is used for carrying out equipment energy consumption statistics on the first target equipment; acquiring first operation parameter data of the first target equipment in a first time period, and processing the first operation parameter data through the first algorithm model so as to count equipment energy consumption of the first target equipment in the first time period, the first operation parameter data is at least used for indicating power data of the first target equipment; by means of the scheme, the problems that in the related technology, due to the fact that a traditional air conditioner energy consumption calculation method does not distinguish data differences between different models, the generalization ability of an energy consumption calculation model is poor, and prediction precision is insufficient are solved.

The invention relates to the technical field of industrial pressure gauge reading identification, in particular to a pointer type pressure gauge reading method, a pointer type pressure gauge reading device and a computer storage medium. The method comprises the following steps: respectively marking as a first template image and a second template image, and obtaining a fitting pointer line of a to-be-recognized image based on the first template image and the second template image; selecting an optimal matching template of the to-be-recognized image from a template library constructed in advance; acquiring a zero point position of the optimal matching template by identifying a zero point template and a zero point line at a zero point so as to obtain a zero point line of the to-be-identified image; and performing weighted calculation on the fitting pointer line and the zero line to obtain an instrument reading result of the to-be-identified image. According to the invention, the reading precision is improved, and the method is suitable for reading tasks of pointer type pressure gauges of various models and specifications.

The invention discloses a BIM model number inputting and auditing method based on GH and Revit. A two-dimensional drawing is cleaned and number data is extracted through Rhino, the centroid of a BIM model component is extracted by utilizing Grasshopper and is projected to generate a point cloud, the number of the two-dimensional drawing and the BIM model component are matched based on a nearest neighbor algorithm, and batch inputting and dynamic synchronous updating of the number are realized. And reading an instance parameter value of the BIM model component through Grasshopper, and automatically comparing the instance parameter value with the two-dimensional drawing number data set to generate an Excel auditing report containing a consistency mark. The invention relates to the technical field of building modeling, and can solve the technical problems in the prior art.

To save time and effort of a user in migrating migration data of an information processing apparatus of a migration source to especially a plurality of information processing apparatuses of migration destinations.SOLUTION: An information processing system includes a first information processing apparatus, a server apparatus, and a second information processing apparatus. An export processing unit of the first information processing apparatus sends, to the server apparatus, an export instruction, a first device number identifying the first information processing apparatus itself, and migration data to be migrated which is recorded in its own apparatus. An export management unit of the server apparatus receives, from the first information apparatus, the export instruction and the first device number and migration data and stores the first device number and migration data in a storage medium in association with each other. An import instruction unit of the second information processing apparatus sends an import instruction including the first device number to the server apparatus. An import management unit of the server apparatus receives the import instruction from the second information processing apparatus and sends, to the second information processing apparatus, the migration data associated with the first device number included in the import instruction.SELECTED DRAWING: Figure 6

The invention discloses a synchronization method and device for CADBOM and EBOM configuration usage, and belongs to the technical field of automobiles and computers. Comprises: determining a target part of a vehicle; creating a design layer corresponding to the target part in CAD data of a vehicle in a management bill of material (CADBOM) system in CAD, wherein the design layer comprises a digital-analog number; establishing a corresponding relationship between the digital-analog number and the unique identification code in a design layer corresponding to the target part; the part number of the target part is determined, a BOM line is added in BOM data of a vehicle in an engineering bill of material (EBOM) system, the BOM line comprises the part number of the target part and configuration data of the target part, and the configuration data of the target part comprises a unique identification code of the target part and a first configuration usage method; the first configuration usage is used for representing the configured usage of the target part; and based on the unique identification code of the target part, synchronizing the first configuration usage to the digital-analog number in the CAD data.

The invention belongs to the technical field of part machining, and relates to a machining program sequence rapid pushing method and system. The standard process parameters are obtained according to the types of the features, the material attributes and the machine tool model, the manual parameter setting time is shortened, the processing sequence sorting efficiency is improved, and the initial program is generated according to the standard process parameters. Attribute assignment is carried out on the features of the parts, and automatic decision making of follow-up sorting is supported. And according to the process number attributes, the inter-group process logic and the intra-group feature category priorities, processing sequence sorting is performed on the features after attribute assignment, and a feature sorting result is obtained. And through inter-group process logic and intra-group priorities, it is ensured that a sorting result conforms to process constraints, and the sorting accuracy is improved. The initial program is reordered according to a feature ordering result, a machining program of the part is generated, a dynamic mapping relation from feature ordering to a program sequence is established, when the feature ordering is adjusted, the program is automatically and synchronously updated, and the multi-version flexible production requirement is met.

A method, system, electronic device, and medium for storing code library data relate to the field of data processing technology. The method includes: obtaining a data file for a target product, parsing the data file to obtain key parameters; determining multiple device models that the target product can adapt to, adjusting the key parameters according to each device model, and obtaining first adaptation parameters corresponding to each device model; adjusting each first adaptation parameter according to device brand information to obtain target adaptation parameters, where the device brand information includes at least one device model; and storing the target adaptation parameters in the database of the target product. Parameter adaptation based on the device model improves the accuracy of the adaptation parameters.