100 results about "Model Number" patented technology

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 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 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 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.

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 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.

The article to which this design relates can be used, for example, when searching for the model number or part number of an automobile part, such as a battery, that is compatible with a vehicle during car repair or part replacement.

The invention provides a fault diagnosis method and a computer program product. The method comprises the steps that the equipment type, the equipment model and fault information of target equipment are obtained; then, the fault reason of the target equipment is determined based on the equipment type, the equipment model and the fault information, so that fault diagnosis is automatically carried out without depending on artificial experience, and misjudgment and missed judgment are avoided; then, on the basis of the fault reason, finding out disposal data from a target knowledge graph corresponding to the equipment model; if the disposal data comprises disposal measures and a spare part identifier of at least one recommended spare part, determining detailed information of each recommended spare part based on the equipment type and the equipment model of the target equipment and the spare part identifier of each recommended spare part; and finally, outputting a fault diagnosis result based on the fault reason, the disposal measure and the detailed information of each recommended spare part. According to the invention, spare part recommendation is realized through the knowledge graph, so that fault diagnosis and spare part recommendation are combined to help to improve fault processing efficiency and improve user experience.

The invention discloses an FCT equipment IO function test information compiling method. A first module, an IO number obtaining module, a jointed board IO distribution module and an IO information import and export module are included. The upper computer software of the same FCT device can adapt to lower computer hardware modules of different models, the flexibility of the device is enhanced, other ports without faults can be rapidly used for replacing faulty ports, and IO information setting can be rapidly carried out; and the working efficiency of the IO function test of the FCT equipment is greatly improved.

The article to which this design relates can be used, for example, when searching for the model number or part number of an automobile part, such as a battery, that is compatible with a vehicle during car repair or part replacement.

The disclosure provides a gamma adjustment method, a computer readable storage medium and a computer program product. The gamma adjustment method comprises the following steps: obtaining a model of a to-be-tested module, determining a target model corresponding to the model and an error probability density distribution function according to the model, the target model being used to represent a mapping relationship between a gamma register value and a target influence factor, and the error probability density distribution function being used to represent an error distribution between a predicted gamma register value output by the target model and an actual gamma register value; obtaining a target influence factor value when the to-be-tested module displays a target gray scale picture, and inputting the target influence factor value into the target model to obtain a first gamma register value; detecting whether a display picture of the to-be-tested module meets a requirement when the to-be-tested module performs gamma adjustment by using the first gamma register value; and when the display picture does not meet the requirement, adjusting the first gamma register value by using the error probability density distribution function until the display picture meets the requirement.

The invention relates to a model optimization method and device, terminal equipment and a computer program product, and the method comprises the steps: obtaining model information of a to-be-optimized model and chip information of a target chip, the model information comprises structural features, a target type and a performance index, and the chip information comprises a target model and a chip parameter; determining a first constraint based on the chip parameter, and determining a second constraint based on the performance index; candidate layer instances matched with the target model and the target type are selected from a pre-constructed model structure library, the model structure library comprises a plurality of layer instances, the layer instances are labeled with labels, and the labels identify chip models and task types matched with the layer instances; combining and screening the plurality of candidate layer instances based on the structural features, the first constraint and the second constraint to obtain a candidate layer combination; and generating a first optimization model based on the candidate layer combination. Through the method and the device, the problems of relatively low optimization efficiency and relatively poor optimization effect of the model structure in related technologies are solved.

The invention relates to the technical field of airborne system hardware abstraction, and discloses a hardware abstraction method and system for an airborne system, computer equipment and a medium, and the method comprises the steps: abstracting each physical equipment in the airborne system from different types of physical equipment into abstract equipment with the same interface, shielding the physical difference between different types of equipment, and improving the hardware abstraction efficiency. And forming the same abstract device with the same function. And meanwhile, analyzing and counting the interfaces of different types of physical equipment of each type of physical equipment to form a group of uniform interfaces of the abstract equipment. For the upper software, the method shields the physical difference of different hardware of different manufacturers, obviously improves the development efficiency and cross-platform portability of the upper software, and facilitates the development and transplantation of the upper software; for manufacturers, the method unifies the interface requirements of different models of aircrafts, and facilitates formation of lineage design and research and development of products with unified functions and different performances.

The present invention relates to the technical field of artificial intelligence, and provides a resource management method, an electronic device and a storage medium, the method comprising: obtaining first resource information reported by a device plug-in of a node, the first resource information comprising a first name of a computing device of the node, and computing devices of different device information corresponding to different first names; a first name in the first resource information is converted into a second name, second resource information is obtained, and the computing devices of different device information correspond to the same second name; and reporting the second resource information to a cluster end through a node agent component of the node. According to the method, the electronic equipment and the storage medium provided by the invention, the intermediate agent component is additionally arranged on the node, and the first name in the first resource information reported by the equipment plug-in is converted into the second name through the intermediate agent component, so that unification of resource names of computing equipment of different manufacturers and different models is realized; and the resource management difficulty under the heterogeneous cluster is greatly reduced.

The application discloses an operation and maintenance knowledge intelligent question and answer interaction method, device and equipment based on an LLM large model. The method receives a question from an operation and maintenance personnel through a natural language interaction interface, analyzes semantics by using a pre-trained LLM to generate a candidate answer, verifies the accuracy of the answer in combination with a dynamic operation and maintenance knowledge graph (containing a device model and fault code mapping, a historical case library and a real-time updating knowledge base), and finally returns a verification result. The device contains an input module, a processing module, a verification module and an output module, wherein the processing module integrates field knowledge fine-tuning and real-time data set functions, and the verification module supports multi-source data fusion and confidence evaluation. The platform adopts a multi-tenant architecture, supports visual diagnosis, automatic device operation and knowledge usage report generation, and ensures that data cannot be tampered with through blockchain technology.

The invention provides an automatic burning method and system suitable for a laser radar production line. The implementation method comprises the steps of order analysis, power supply configuration, burning configuration, firmware package downloading and function verification. The production line automatic burning system is designed and realized based on the method, is verified and used in a production line, and comprises an upper computer control system, a burner, a burning jig and a programmable power supply, the method has the following advantages that 1, the method is combined with an MES system, the radar model, the hardware version and the firmware package issued by the MES system are automatically mapped, and mixed burning of a production line is achieved; 2, the replicability is high, convenience is provided for copying of a production line, the integration level is high, a downward compatible mechanism facing full automation and semi-automation is realized, and a foundation is laid for automatic upgrading of a subsequent production line; 3, a read-back-function verification-closed loop mechanism is adopted, key information read-back is performed on each radar, and meanwhile, through dual verification of chip self-weight starting and power supply external restarting, the reliability of the system is improved; the method has the advantages of being simple in structure, convenient to operate and capable of executing relevant functions to conduct good detection on radar key chips, preventing non-benign radars from flowing into follow-up stations, indirectly reducing production cost, recording burning information of the key chips, and achieving traceability of the radars in the whole life cycle.

The application provides a MaaS platform large model inference parameter automatic optimization acceleration method, comprising the following steps: detecting hardware configuration, constructing a standardized container environment, and preparing pressure test data; using an intelligent search algorithm to traverse a multi-dimensional parameter space, automatically discovering optimal inference parameters of a specific hardware and model combination through pressure testing and a performance scoring formula; persistently storing optimal parameter combinations corresponding to various hardware models and model versions to a structured database to form a reusable parameter knowledge base; automatically identifying a current hardware environment during model deployment, intelligently matching and loading corresponding optimal parameter configurations from the parameter base, and realizing zero-configuration optimization deployment. Through a parameter combination feasibility verification mechanism, the application can timely discover and exclude parameter combinations that may cause system errors or memory overflow, ensuring that the finally selected parameters can both improve performance and guarantee stable operation of the system.

The invention discloses a method for binding order numbers of three-in-one products in LCD (liquid crystal display) module production, which comprises the following steps of: 1, when a preset model production order of an LCD module is received, writing an order number code containing model information corresponding to the model product into a background system; 2, the LCD module product to be processed is fed into a three-in-one automatic machine table, a product two-dimensional code on the LCD module product is scanned through a code scanning gun arranged on the three-in-one automatic machine table, and the scanned product two-dimensional code is transmitted to an upper computer of the three-in-one automatic machine table; and step 3, the upper computer sends the received product two-dimensional code to a background system. Compared with a traditional mode, order number recognition is added in three-in-one software, the situation that production line workers misplace products is intercepted, and the method has the following effects that the use probability of secondary burning is reduced; the product scrapping probability is reduced; customer complaints are reduced, and the quality of company products is improved; the cost and the reworking cost are reduced.

The invention discloses an accurate model selection method and device for pneumatic element products. The method comprises the following steps: receiving a serial number and attribute information of a pneumatic element product to be selected input by a user; according to a preset detection rule, the serial number and the attribute information of the pneumatic element product to be selected are detected, and whether the corresponding all-model information is correct or not is judged; if the judgment result is yes, product information of the pneumatic element is retrieved according to all-model information corresponding to the serial number and the attribute information; and returning the retrieved product information. The device comprises a data receiving module, a detection module, a retrieval module and an information return module. The model selection method and device are more suitable for the conditions that the product capacity is huge and the product attribute information is complex, the product information of the pneumatic element to be selected can be accurately matched, the model selection method and device are more suitable for the accurate model selection requirement of similar pneumatic element products, and meanwhile the model selection accuracy is effectively improved.

The application provides a hardware PDF file and device model consistency checking method in a BOM, comprising the following steps: analyzing a hardware PDF file to obtain an evidence block set comprising at least one evidence block of each page PDF, extracting traceable device models from the hardware PDF file, and generating a PDF scheme reference list based on the corresponding traceable device models and device quantities; identifying valid rows and valid columns of a BOM file, identifying material quantities in the valid material rows, and aggregating valid material row data of the same model to obtain a BOM aggregation list; and taking the PDF scheme reference list as a reference, performing model matching and quantity consistency checking on the PDF reference models and the BOM aggregation models to obtain a consistency checking result.

The embodiment of the invention discloses an interface interaction control method, a computer system, equipment and a computer storage medium. According to an interface type of a target virtual interface indicated by the creation request, creating a target virtual computing power device corresponding to the interface type in a target virtual environment, responding to a deep learning request of the target virtual environment through the target virtual computing power device, and forwarding the request to a host machine, and scheduling a physical computing power device corresponding to the interface type to respond to the request, and returning a processing result of the request to the target virtual environment through a target virtual computing power device. According to the method, virtualization is carried out from a software interaction level instead of virtualization of computing power hardware, the scheme is completely realized based on software, and a physical GPU is not required to have any special virtualization hardware function, so that almost all mainstream and even old models of GPUs on the market and accelerators such as NPUs with different architectures can be managed. And the user does not need to pay for expensive virtualization dedicated hardware and software license, so that the virtualization deployment cost is reduced.

To easily and appropriately specify print conditions that can be executed by a printing device. [Solution] A program that causes a control device 14, which is a computer, to specify printing conditions for printing to be performed by a printing device 12, causes the control device 14 to perform a model identification process to identify the model of the printing device 12, a condition specification information generation process to generate condition specification information that specifies at least part of the printing conditions, and a printing condition specification process to read an image to be printed and specify the printing conditions to be used when printing the image, in the condition specification information generation process, condition specification information that specifies conditions that can be executed by the identified model is generated based on the identified model, which is the model of the printing device 12 identified in the model identification process, and in the printing condition specification process, printing conditions that can be executed by the printing device 12 that performs the printing are specified based on the condition specification information generated in the condition specification information generation process.

This application provides a method and system for processing spacecraft manufacturing process data. The method includes: constructing a query data index; performing hierarchical desensitization processing on spacecraft process-sensitive data according to multi-level desensitization rules; using the query data index as an anchor point, determining the model identifier, process parameters, component number, material batch, and multimodal identifier associated with the same process, and establishing a mapping table between the desensitized data and the spacecraft process-sensitive data; and performing a query on the current client's process query interface based on the input query data index to return the matching process manufacturing data to the process query interface. This application enables more efficient querying of process manufacturing data, hierarchical desensitization processing of spacecraft process-sensitive data, and obtains more secure and reliable desensitized data and data transmission.

The invention relates to the field of nuclear power simulation, and discloses a man-machine interaction equipment debugging method and system for nuclear power simulation, and the method comprises the steps: collecting hardware parameters of different types of nuclear power instrument control board cards, and building a meta-model library; each meta-model comprises a board card hardware feature tag, a configurable parameter set and a fault injection point mapping table; configuring a fault logic model, and generating an algorithm segment adaptive to the target board card based on the fault logic model and the board card hardware meta-model; dynamically mapping the logic parameter of the algorithm segment into a fault insertion parameter which can be identified by a target board card; and loading the algorithm segments and the fault insertion parameters in a simulation platform to execute fault simulation. The problem that debugging efficiency is low when the board card is replaced is effectively solved.

In one embodiment, a method includes receiving information associated with a plurality of devices. The information includes a manufacturer, a model name, and a current version of software for each of the plurality of devices. The method also includes generating a plurality of classifications. Each of the plurality of classifications is associated with a particular manufacturer and a particular model name. The method further includes determining a number of the plurality of devices in a first classification of the plurality of classifications, categorizing the number of the plurality of devices in the first classification into a plurality of categories by the current version of software, and determining, independent of any type of device identifier, a latest available version of software for the first classification.

The present application relates to the technical field of BIM, and particularly relates to a BIM model drawing marking method, device, equipment and readable storage medium, the method comprises the following steps: obtaining all graphic element information in a BIM model, graphic element origin coordinates corresponding to each graphic element information and size parameters corresponding to each graphic element information; classifying and numbering each graphic element information according to a graphic element name to obtain a classification result; positioning the position of a component according to the graphic element origin coordinates corresponding to each graphic element information to obtain position information corresponding to each graphic element information; obtaining a drawing with completed size marking and graphic element attribute marking according to the size parameters corresponding to each graphic element information, the position information corresponding to each graphic element information and the classification result; the present application realizes the rapid and automatic marking of a BIM model drawing based on a BIM model to meet the requirements of engineering application, thereby making the design of a specified model standard box girder automatic and intelligent, and greatly improving the design efficiency of a high-speed railway standard box girder.

The invention discloses a tool management method and system, electronic equipment and a computer program product, and relates to the field of intellectualization, and the method comprises the steps: responding to a tool selection operation of a user after the user logs in a tool management system, and determining a target tool selected by the user at this time and the model of the target tool; a box door of the tool box is popped open; in response to a box door closing signal sent by an inductive switch on a box door, collecting a current placement image of a tool in the tool box; identifying the current placement image, and determining the model of a change tool of which the toolbox is changed; comparing the model of the target tool with the model of the change tool, and if the model of the target tool is consistent with the model of the change tool, recording the model of the change tool, the change information of the change tool and the information of the user; and if the model of the target tool is inconsistent with the model of the change tool, alarm information is sent to prompt a user that the tool operation is wrong. Whether the tool change is wrong or not is determined through image recognition, and the situation that the tool access record in the tool box is not real is reduced.

This application provides a unified adaptation method for multi-vendor switches and an SDN controller, including: allocating CMA physical pages for each switch model; establishing a model page table and a shadow bitmap byte array; the model page table records the CMA physical page base address of the switch model; and each bit of each byte in the array represents the existence status of the encoding / decoding context of each firmware version within the corresponding CMA physical page; when an encoding / decoding context of a firmware version for a switch model is generated, it is written to the corresponding slot in the CMA physical page, and the corresponding bit is set to valid; in response to a packet from the target switch, the model identifier and firmware version number are extracted; the target CMA physical page base address is obtained from the model page table based on the model identifier, the firmware version number is read from the shadow bitmap byte array, and the context address is calculated to obtain the encoding / decoding context. This application can avoid memory fragmentation, ensure the resident nature of the context in memory, and achieve fast context determination and latency addressing.

The present disclosure relates to the technical field of Internet of Things, and particularly relates to a display method and device and electronic equipment, which are used to solve the problem of limited content of application display and poor user experience in the prior art. The method comprises the following steps: in response to a starting operation, obtaining a device category list and report information reported by an electronic device in a current environment; based on an actual identifier, querying in the device category list to determine whether there is a same theoretical identifier as the actual identifier, and whether the same theoretical identifier as the actual identifier supports an Internet of Things function, and when device model information is obtained based on configuration information of the electronic device corresponding to the actual identifier, generating a display device list based on the device model information; wherein the device model information at least comprises a device icon, a device name and a device model, the display device list comprises an electronic device corresponding to each device model information; and displaying based on the display device list.

To provide a terminal which hardly causes misreading and has high character reading accuracy even in a health measuring machine having no back light.SOLUTION: This health measuring instrument 200 is provided with a photographing means for photographing the health measuring instrument 200, a model information recording means for recording model information of the health measuring instrument 200, a character area specifying means for specifying a plurality of character areas 311 to 333 from a photographed display part 211 based on the model information, a character selecting means for selecting a character having the highest degree of coincidence by template matching for each character area, a character deciding means for abandoning a character string when there is a character whose degree of coincidence by template matching is less than a prescribed value in the character area of at least one digit and deciding the character of the display part when all the degrees of coincidence of the character areas of at least one digit are equal to or more than a prescribed value, and a character deciding means for performing photographing of the display part a plurality of times and continuously deciding the same character twice or more.SELECTED DRAWING: Figure 1