221 results about "Software generation" patented technology

The invention relates to a method and a device for generating software based on a large model technology, a medium and electronic equipment, and relates to the technical field of software generation, and the method comprises the following steps: acquiring demand information of a user for software generation; generating a configuration definition file corresponding to the large model generation demand information through a preset code, wherein the configuration definition file is a configuration file of a domain-specific language definition device; performing regular format reformatting processing on the configuration definition file to obtain a processed file; based on the processed file, determining a service flow logic corresponding to a service function in the to-be-generated software, and based on the service flow logic, generating a target software code corresponding to the to-be-generated software through a code generation large model, the format of the target software code being a configuration file format of the domain-specific language definition device; and based on the target software code, through a preset rendering engine, generating a front-end page and a rear-end page of the software needing to be generated. The method has the effect of improving the software development efficiency.

The invention discloses a BIM application method and system in cost management. The method comprises the steps of BIM model construction, cost data integration, engineering quantity list and cost report generation, collaborative management, AI real-time optimization, digital twinborn early warning management, design change and contract text analysis, edge calculation cost management, block chain data guarantee and the like. The system comprises a plurality of modules such as a BIM model construction module and a cost data integration module. According to the method, software is utilized to generate a BIM model, cost data is integrated, data quality is evaluated before a report is generated, multi-specialty and multi-participant authority is cooperatively managed, AI real-time optimization, digital twinborn early warning, a natural language processing engine analyzes a change document, cost is processed through edge calculation, safety protection is achieved, and data is guaranteed in combination with a block chain. Compared with the prior art, the construction cost calculation accuracy is improved, personal errors are reduced, the association between the component and the construction cost data is enhanced, the change response efficiency is improved, and the data transmission delay is reduced.

The invention discloses a defect type anti-counterfeiting character code spraying system and method, the system comprises a code spraying machine and an industrial personal computer, an invisible intelligent code word stock is imported into the code spraying machine, and numbers and letters in the word stock are presented in a code point arrangement mode; code assigning software is installed in the industrial personal computer, a variable code is generated through the code assigning software, and the variable code is sent to the code spraying machine; the system further comprises a code generating and sending system, and the code generating and sending system is composed of a code generating unit and a code sending unit. According to the invention, the unique variable eight-bit production date invisible intelligent code is printed on the product, the display effect of the word stock is presented by code points plus defects or points, the effect of tracing according to the production date invisible intelligent code is further realized, and the problems of counterfeit goods, goods fleeing and disordered prices in sales channels are effectively solved.

Techniques are provided for securing software development cycles with artificial intelligence customization. Operations may include identifying a software generation task; providing the software generation task to a language model; identifying, from the language model, a plurality of queries associated with specific attributes of the software generation task; creating, based on the software generation task and responses to the plurality of queries, a reconstructed software generation task; assigning, based on a machine learning model, one or more security labels to the reconstructed software generation task; determining one or more prioritization scores for one or more security rules based on the one or more security labels; and generating, based on the one or more prioritization scores, at least one security action for the reconstructed software generation task.

The invention relates to an intelligent monitoring platform for a transformer substation. Environmental data of the transformer substation is monitored by using a sensor; monitoring equipment operation state data of the transformer substation; obtaining layout data of each link of the transformer substation, wherein the layout data comprises an equipment position and line distribution; generating a layout image of the layout data by using GIS software, and extracting main features of the layout image by using a convolutional neural network; and when the transformer substation has a fault, troubleshooting the fault reason according to the environmental data, the equipment operation state data and the main characteristics of the layout image. The problems that in the prior art, all links of the transformer substation are difficult to comprehensively monitor in real time, centralized integration and comprehensive analysis of information cannot be achieved, and monitoring precision and effect are poor are solved. The CART model is constructed through big data in historical periods by taking main characteristics of environment data, equipment operation state data and layout images as explanatory variables and fault types as response variables, so that the efficiency of monitoring troubleshooting is improved.

The invention discloses a numerical control machine tool dynamic characteristic matching and machining path planning method and system for efficient cutting, and relates to the technical field of intelligent manufacturing and numerical control machining path optimizing.The method comprises the following steps that on the basis of a CAD three-dimensional drawing of a machined part, the CAD three-dimensional drawing is imported into CAM software, the machined surface and the non-machined surface of the part are determined, and the machining surface and the non-machined surface of the part are matched; various machining schemes and technological parameters of different machining faces of the part are generated through CAM software in combination with drawing parameter requirements; and for the generated machining schemes under the process parameters of the different machining surfaces, the machining rigidity and vibration parameters are calculated in combination with part material data, and meanwhile, the standard rigidity and vibration parameters of the current numerical control machine tool are collected. According to the method, the dynamic performance of the numerical control machine tool is combined, the tool path planning in the CAM programming process and the technological parameters are matched, and tailoring and force measuring are carried out according to numerical control programming of different machine tools.

The invention discloses a modeling method and a processing device for a lattice structure gear filled with a three-period minimal curved surface, and the method comprises the following steps: writing an implicit function equation of the three-period minimal curved surface by using Matlab numerical analysis software, and generating an stl format model; using Geomagic reverse modeling software to perform reverse modeling on the three-period minimal curved surface cell elements to produce an stp format model; using Matlab numerical analysis software to generate data points, and importing Proe software to generate a gear model; after operations of mirroring, arraying and the like are carried out on the curved surface cell element model by using SolidWorks, a lattice structure is obtained by using a curved surface thickening command; according to the method, SolidWorks is used for dividing the gear into three parts, namely a gear tooth design area, a hub design area and a spoke design area, the spoke design area intersects with a lattice structure Boolean and then is combined with the gear tooth area Boolean and the hub area Boolean, and therefore the lattice structure gear filled with the three-period minimal curved surface is constructed, and a new thought and method are provided for lightweight design of the gear.

The invention relates to the technical field of automatic control, in particular to a bending machine control method which comprises an upper computer, a master station controller, a bending machine special IO slave station, matched HMI software and a lower motion control program, the upper computer provides a user operation platform through the HMI software, the HMI software generates working steps and control data, and the upper computer communicates with the master station controller; and the master station controller performs motion planning according to the working step data, is connected with the bending machine special IO slave station and the shaft servo driver through the EtherCAT bus, and performs control instruction issuing and state and data uploading, so that basic motion of the bending machine tool is realized. An EtherCAT bus communication technology is adopted, the control system is superior to a conventional bending machine control system in the aspects of interference resistance, reliability and motion control response, and the control system can meet the control requirements of all-electric servo bending machine products and hydraulic bending machine products.

The invention discloses a porous rock two-dimensional numerical model processing method and device, equipment and a medium, and can be applied to the technical field of rock mechanics. The method comprises the following steps: importing a wafer radius and coordinate data of an initial rock sample generated by first software into second software, and obtaining user demand pore feature information including target porosity, target pore size distribution and target pore direction distribution probability; controlling the second software to generate a total wafer set according to the pore feature information required by the user and the wafer radius and coordinate data of the initial rock sample, importing the total pore wafer set into the first software, and then controlling the first software to process the initial rock sample according to the total wafer set, the discrete element model meeting the pore characteristic information required by the user is obtained, and then the mechanical behavior simulation of the porous rock microstructure characteristics is performed according to the discrete element model, so that the accuracy of porous rock simulation can be effectively improved, and the technical cost is reduced.

The invention discloses a method for verifying interlocking software data, which comprises the following steps: reading an interlocking table, an IO bitmap file and a DGG file of interlocking software by DataVerisoft software, and configuring the names of the interlocking table, the IO bitmap file and the DGG file; according to a predefined data verification document, a data generation rule is automatically compiled and executed, and a text type report is generated; an AutoStampTool tool is configured, the PDF document needing to be checked and the generated text type report are put into an input folder of the AutoStampTool, complex rule matching and detail adjustment are carried out according to the interlocking table and rules defined in the DGG, and a text type report is generated; the text type report generated by the DataVerisoft software and the text type report generated by the AutoStampTool tool are compared one by one, and whether the content is consistent or not is checked; if the report content is completely matched, the data verification is passed, and the data of the interlocking software is proved to keep consistency and accuracy at different levels and angles. According to the invention, the efficiency and productivity of verification work are greatly improved.

The subject matter described herein includes methods, systems, and computer readable media for improving remote direct memory access (RDMA) performance. A method for improving RDMA performance occurs at an RDMA node utilizing a user space and a kernel space for executing software. The method includes posting, by an application executing in the user space, an RDMA work request including a data element indicating a plurality of RDMA requests associated with the RDMA work request to be generated by software executing in the kernel space; and generating and sending, by the software executing in the kernel space, the plurality of RDMA requests to or via a system under test (SUT).

The invention provides an intelligent oil reservoir simulation and safety prediction system. The system comprises a parameter setting module, a numerical simulation software generation module, an oil reservoir simulation and safety prediction module, an information interaction module, an application management module and a program modularization module, the parameter setting module is used for acquiring numerical simulation parameters set by a user from a user side and importing the numerical simulation parameters into the numerical simulation software generation module; configuring numerical simulation parameters in a human-computer interface in the parameter setting module, wherein the numerical simulation parameters comprise well, reservoir, fluid and well network parameters; the well network parameters comprise a well network type, a well group size, a well name and a well number, grid mapping of a well, a position of the well, a control radius of the well, a grid influence range of the well and yield data of the well; and the numerical simulation software generation module combines the obtained numerical simulation parameters with a preset parameterized model and an intelligent optimization algorithm through a neural network model after receiving the numerical simulation parameters.

The invention discloses a graph neural network-based cross-architecture binary code similarity detection method, which comprises the following steps of: respectively implementing original feature extraction operation on an open source software binary file and a firmware binary file by utilizing a reverse engineering tool to obtain basic feature data of the open source software binary file and the firmware binary file; the control flow diagram of the open source software and the firmware is converted into an embedded representation through an embedded network, the open source software generates an embedded representation table, and the firmware generates a corresponding embedded representation; and storing the open source software embedded representation into an open source software database, storing the firmware embedded representation into a firmware database, and finally, comparing the similarity of data in the database to complete the similarity detection of the cross-architecture binary codes so as to screen out code fragments possibly having potential safety hazards in the firmware. According to the method, the similarity of the cross-architecture binary codes can be effectively detected, and the third-party codes with security risks in the firmware of the Internet of Things equipment can be accurately detected.

The invention relates to the technical field of computer-aided management of tunnel construction, and discloses a mining method tunnel construction management method based on a BIM technology, and the method comprises the steps: creating a 3D tunnel model, and defining the construction equipment and technological process of a mining method tunnel; a construction method model is generated by using Navisworks software, and the specific arrangement condition and size data of related structures in the construction process are known, so that the technical disclosure of the construction method is known, and the construction process is convenient to optimize in advance; performing collision detection on the tunnel structure by utilizing a BIM (Building Information Modeling) technology and combining with a collision detection tool of Navisworks software, and performing adjustment and modification in time; performing 4D progress simulation on the whole construction process of the tunnel by using a BIM technology, and comparing and analyzing the difference between the construction plan workload and the actual plan workload so as to grasp the construction progress; detailed construction information is added on components based on a BIM mining method tunnel model, and digital information management is achieved.

The embodiment of the invention provides a machine tool state monitoring method and device, a machine tool base and a monitoring system.The method comprises the steps that a preset modeling algorithm is adopted, a three-dimensional model of the machine tool base is constructed, and a sensor position is installed at the preset position of the three-dimensional model; preset simulation software is adopted to generate a simulation excitation signal, the simulation excitation signal is input into the three-dimensional model of the machine tool base, and a feedback signal of the sensor is obtained; when the amplitude of the feedback signal is larger than a preset value, the preset position is set as a target installation position, and the target installation position is used for installing various sensors on the machine tool base. A vibration signal or a temperature signal can be monitored, and the monitoring accuracy is improved.

The invention relates to a multi-vehicle automatic driving simulation system and method supporting DORA middleware, and belongs to the technical field of automatic driving. The system comprises a simulation platform and a domain controller group. The simulation platform comprises a multi-vehicle Dora-bridge, traffic scene simulation software and vehicle dynamics simulation software, the multi-vehicle Dora-bridge receives multi-vehicle state data, sensor data and vehicle cooperative control information generated by the traffic scene simulation software, and the multi-vehicle Dora-bridge publishes the multi-vehicle state data, the sensor data and the vehicle cooperative control information in the form of a DORA topic for each domain controller to subscribe; meanwhile, control instructions issued by the domain controllers in the form of DORA topics are received and issued to the vehicle dynamics simulation software. The domain controller group comprises a plurality of domain controllers, each domain controller corresponds to one automatic driving vehicle, and software of the domain controller group consists of a plurality of DORA function nodes to realize an automatic driving function. According to the invention, an effective solution is provided for simulation of the multi-vehicle automatic driving system based on the DORA middleware, the development efficiency is improved, and the development cost is reduced.

This disclosure describes a container management tool of a container management service of a service provider network that operates a first container in a network mode associated with a software generated namespace generated by the container management tool. The container management tool determines a location of the software generated namespace and adds a link to a desired, e.g., existing application network namespace to the software generated namespace. The container management tool, using an application namespace creation script, generates a name for the desired application network namespace. The service provider network executes one or more first applications in the first container, wherein executing the one or more first applications in the first container comprises the first container accessing the software generated namespace and following the link to the desired application network namespace.

The invention relates to the technical field of water conservancy projects, and discloses a GIM / CAE integrated digital twinborn simulation method and system, and the method comprises the steps: generating a three-dimensional geologic model of a numerical calculation region through GIM software; generating a three-dimensional numerical calculation model based on the three-dimensional geologic model; setting physical and mechanical parameters and calculation and analysis types for the three-dimensional numerical calculation model, and performing numerical calculation and analysis; and integrating a numerical calculation analysis result into GIM software, and performing integrated three-dimensional visual display of the GIM model and the CAE model. According to the method, bidirectional data transmission between GIM and CAE software can be realized, deep coupling of a geometric model, a physical model and a mechanical model of the hydraulic digital twin geologic body is carried out, the precision of a three-dimensional numerical calculation model is improved, and the precision and quality of a numerical analysis result are ensured.

The invention discloses a BIM model-based method and system for automatically generating a bill of quantity, and a medium. The method comprises the steps of obtaining component attribute data of a plurality of components in a target project; inputting the component attribute data of each component into a BIM model for data matching, and determining component parameter data and engineering quantity data of each component according to a data matching result; obtaining a plurality of comparison components based on a preset database, performing similarity matching based on the component parameter data of the plurality of comparison components and the component parameter data of the plurality of components, and determining comprehensive unit price data of each component according to a similarity matching result; the embodiment of the invention can improve the efficiency of generating the engineering quantity list by using the quantity calculation software, and can be widely applied to the technical field of data analysis related to the building industry.

Apparatuses, systems, and techniques to generate software code. In at least one embodiment, one or more neural networks are to use information indicating one or more software program dependencies to generate one or more software programs having said indicated one or more software program dependencies.

The invention discloses an efficient and reliable software and hardware collaborative testing method based on FPGA-PCIe, and aims at solving the problems that an existing testing method is low in efficiency and insufficient in reliability. The method is achieved through the following steps that hardware codes are compiled through Quartus software, and a bin file is generated; burning the bin file to an FPGA (Field Programmable Gate Array) development board; installing a kernel driver and a dependency library; the FPGA is bound through a vfio driver; software codes initialize queues, process interrupts and generate and verify messages, and the specific process comprises the steps of calculating message verification values through hardware, generating and receiving efficient interaction of the messages through software, and ensuring the integrity of data packets. Through deep combination of software and hardware, the flexibility, reliability and efficiency of testing are improved, the method is suitable for testing of a high-speed data interaction scene, particularly has remarkable advantages in FPGA design verification and system-level application, and supports rapid development and deployment of a complex system.

Apparatus, systems, and techniques for generating software code. In at least one embodiment, one or more neural networks are to use information indicating one or more software program dependencies to generate one or more software programs having the specified software program dependency(s).

The invention belongs to the technical field of data processing, and discloses a transformer polymerization degree distribution visualization method, system and device and a medium, and the method comprises the steps: generating an internal temperature field distribution simulation result of a transformer model through simulation software, and outputting transformer polymerization degree distribution data under different temperature changes; performing mesh generation on the transformer simulation model to obtain a triangular mesh model, and mapping the triangular mesh model to a plane parameter domain; selecting parameter points in the plane parameter domain, and generating corresponding data sampling points of the parameter points in the triangular mesh model by using an inverse mapping technology; and performing curved surface interpolation fitting on the data sampling points to obtain a curved surface fitting result, and performing visualization processing on the curved surface fitting result. According to the method, the sensor simulation model is subdivided to obtain the triangular mesh model, a complex model can be converted into a model with a small number of vertexes and a single boundary, the operation complexity of the fitting process is simplified, and the curved surface fitting efficiency is improved.

The invention provides an EDEM multi-mesoscopic parameter model generation and processing method. The method comprises the steps that (1) an impact penetration simulation model is constructed; (2) reading an initial HDF5 file generated by the impact penetration simulation model, adjusting contact parameters and generating a new simulation model; (3) generating. Bat script files for batch operation and calculation through python codes of python software, performing batch operation on new simulation models, acquiring a simulation result of each time step length by utilizing an EDEMpy tool library, performing secondary processing on the acquired data, and drawing a comparison curve of each group of simulation results; and (4) integrating a code file. Py generated by python software into a Gu i interface, and packaging the code file. Py into a. Exe program file. According to the method, the functions of simultaneously and automatically generating and operating a large number of different parameter models and automatically performing data secondary processing and comparison can be realized, and the problem that the EDEM lacks an automatic multi-group parameter optimization tool when multi-group parameter optimization work is carried out can be effectively solved.

The invention provides an automatic measurement and correction method for an engraving and milling machine tool based on Mastercam software, relates to the technical field of numerical control of the engraving and milling machine tool, and solves the problem of measurement programming adaptation compatibility between a domestic engraving and milling JD50 numerical control system and the Mastercam software. The method comprises the following steps: developing a post-processing program of Mastercam software, and enabling the post-processing program to be adaptive to a fine carving JD50 numerical control system; configuring a measurement logic code of the fine carving JD50 numerical control system; the method comprises the following steps: generating a processing main program by using Mastercam software, and configuring a second-class user macro program interface in the processing main program; and the engraving and milling JD50 numerical control system drives the engraving and milling machine tool to execute measuring head calibration, online measurement and tool correction operation in a variable mapping mode. According to the invention, the accurate carving JD50 numerical control system can realize automatic measurement and correction functions of the accurate carving machine tool based on Mastercam software, and the method has the advantages of simple operation and high reliability.

The invention provides a multi-type communication interface integration device and an application method, and relates to the technical field of spaceflight testing, and the device comprises an interface processing board which is connected with multi-type communication interfaces, and the communication interfaces comprise an LVDS interface, a synchronous RS422 interface, an asynchronous RS422 interface, a CAN interface, and / or a PPS / PPMS interface; the control main board communicates with the interface processing board and carries upper computer software; the control mainboard runs upper computer software to generate an instruction and sends the instruction to the interface processing board, after the instruction is analyzed through the interface processing board, working parameters are configured, data interaction with all communication interfaces is carried out, and the problems that an existing multi-type interface testing device needs to integrate a plurality of modules or devices and is complex in structure and operation are solved.

The invention relates to the technical field of low-frequency communication, in particular to a method for generating non-Gaussian white noise through MATLAB, and the method comprises the steps: analyzing the distribution characteristics of the low-frequency non-Gaussian white noise, and obtaining the distribution characteristics; fitting the distribution features by using distribution function fitting to obtain fitting features; according to the method, based on the fitting feature and the probability density distribution graph of the non-Gaussian white noise, noise distribution in an existing material is compared, the non-Gaussian white noise generated by software is comprehensively compared, and by means of the feature function of noise distribution, the distribution characteristics of the low-frequency noise after whitening processing can be highly fitted, and the noise distribution accuracy is improved. Compared with the prior art, the method has the advantages that noise feature distribution function fitting is adopted, and the method is highly similar to actually measured data in feature; by adjusting noise parameters, different non-Gaussian noise conditions can be fitted, and the method is suitable for simulation requirements under various conditions.

The invention relates to the technical field of laser processing, in particular to a processing code overtravel detection method of a laser cutting numerical control system, which mainly comprises the following steps: receiving a processing code generated by CAM software, the processing code comprising processing length information of a pipe, a part and a contour; a stroke limiting detection macro-program is embedded in the machining code, and the stroke detection macro-program is used for conducting logic processing according to the starting point coordinate, the machining length and the limiting coordinate of the machining code and judging whether an over-stroke condition exists or not; when the machining codes are executed, stroke detection is conducted on the machining paths of the whole pipe, the single part and the single cutting contour tool path in sequence through the stroke detection macro program, and a detection result is obtained; and adjusting execution logic of the processing code according to the detection result and preset logic. According to the method, overtravel detection is carried out on the machining codes in advance, the problems of cutting interruption and material waste caused by insufficient travel are avoided, and the cutting efficiency is improved.

The invention relates to a CAD model generation system and method based on natural language modeling. The CAD model generation system comprises a data layer, an application layer and a middle layer. The application layer is used for acquiring request information of a user; the middle layer is used for analyzing the request information through a natural language processing method to obtain parameters corresponding to the design intention of the user; mapping the corresponding parameters of the user design intention to a predefined structure template, and associating a standard; according to the structure template and the constraint condition, generating an automatic script for constructing a two-dimensional / three-dimensional model through a depth model generation method; based on the automatic script, adopting Siemens NX software to generate a CAD (Computer Aided Design) model; the data layer is used for querying corresponding standard terms in a knowledge base according to the association standard; and based on the standard terms, extracting constraint conditions corresponding to the association standards. The method is suitable for rapid modeling and design verification of complex parts in a weapon system.

The invention relates to software development, in particular to a software generation method based on multilayer semantic analysis and progressive module extension, which comprises the following steps: describing related software requirements by a user through a natural language, and acquiring context information according to user description; performing multi-layer semantic analysis on the user description by utilizing natural language processing and semantic layering; mapping the multi-layer semantic analysis result to a pre-designed function module, and carrying out modular design on the function module; generating modular codes according to the modular design, and integrating the modular codes into a complete software system; performance testing and user experience are carried out on the software system, self-iteration optimization is carried out based on the performance testing and the user experience, and progressive expansion is carried out on the function and the performance of the function module according to an optimization target in each optimization process; according to the technical scheme provided by the invention, the defects that codes are difficult to generate flexibly according to personalized semantic requirements and improvement and perfection cannot be carried out according to actual operation effects can be effectively overcome.