12 results about "Software production" patented technology

Embodiments of the invention are directed to systems, methods, and computer program products for automatically enabling features in a software production environment. In some embodiments, the method includes defining, using a configuration scanning function, a plurality of features in a production environment, where each feature of the plurality of features includes a feature activation status, and activating, during a code delivery process, at least one feature of the plurality of features based on an output of a machine learning algorithm. The method may also include defining, using a code scanning function, a set of system requirements associated with a source code. The configuration scanning function and the code scanning functions may each be configured to provide at least one input of the machine learning algorithm.

The present application relates to steel structure pre-assembly technical field, and is a steel structure pre-assembly technology and steel structure entity assembly construction method.The present application comprises: establishing a CAD data integration system library to collect steel structure component data; using software to make a steel structure model based on the CAD data integration system library, and establishing a three-dimensional system to simulate the first pre-assembly of the model based on drawings and data structure contours; outputting structure data information if the assembly is successful, and using other software to perform secondary assembly; extracting data from the CAD data integration system library to perform entity production assembly if the assembly demonstration is correct; if the assembly fails, performing secondary data comparison, adjusting the data integration library if the data is correct, and then performing cyclic assembly again; if the data is incorrect, correcting the data, and cyclically assembling until entity assembly is completed.The present application has obvious advantages over traditional pre-assembly technology, is accurate, reduces material loss, and simplifies entity processing procedures.

The application discloses a kind of based on BIM software's foundation pit external corner anchor rod drilling optimization method, comprising the following steps: step one, Revit software is opened to make nested parameterized anchor rod family file;Step two, load family file in step one, and make foundation pit external corner support model according to design drawing;Step three, start Dynamo software, open program script one and run, check the collision of each row of anchor rod of foundation pit external corner, and export collision data;Step four, export data after step three, if there is collision, automatically mode program script two is run in Dynamo software, the inclination angle of drilling is optimized, and the inclination data after optimization is exported;Step five, after the maximum value of inclination after step four is optimized, still have collision, automatically mode program script three is run in Dynamo software, drilling hole position is optimized, and the hole position data after optimization is exported.The application can effectively guarantee the safety and stability of foundation pit support system.

The present invention discloses a method, device, electronic device, and storage medium for tracing software production defects. The method obtains information about software production defect generation scenarios, compares the information about software production defect generation scenarios with coverage information of the software testing environment, and uses a binary search method to determine the cause of the software production defect. Since the principle of the binary search method is to discard half of the values ​​in each search to narrow the search range, the present invention can quickly locate the cause of the software production defect in the test environment by using the binary search method to identify the software production defect type, so as to promptly remind users to repair potential software production defects and improve software reliability.

Systems, methods, and computer-readable storage media are described for processing data change requests. In one exemplary embodiment, a computer-implemented method receives one or more requests in a software production environment for one or more data changes to data from a requestor. The method executes the request(s) in a rollback mode. The method generates a snapshot of the executed request(s). The method also transmits the snapshot to an approver. In response to an approval of the snapshot from the approver, the method also executes the request(s) in a commit mode.

Embodiments of the invention are directed to systems, methods, and computer program products for automatically enabling features in a software production environment. In some embodiments, the method includes monitoring a network traffic log of a network; detecting, using a first machine learning model, a triggering event, wherein at least one input of the first machine learning model comprises the monitored network traffic log; establishing a remote connection with a user device; and causing the user device to launch an event resolution protocol. The method may also include retrieving an unstructured dataset from the user device; and transforming the unstructured dataset into a structured dataset using a generative artificial intelligence (AI) model, wherein at least one input of the first machine learning model comprises the structured dataset.

This application provides a method, apparatus, electronic device, and storage medium for processing art resources. The method includes: acquiring mesh resources created by DCC software, the mesh resources including multiple mesh models; determining mesh groups corresponding to each of the multiple mesh models based on the vertex data of each mesh model; classifying each mesh model into its corresponding mesh group according to the determined mesh group; and exporting the mesh models in each mesh group according to the export format required by the corresponding mesh group. This achieves automatic classification of mesh models in art resources and exports different types of mesh models according to their respective format requirements, which can improve the efficiency of DCC software in exporting art resources and reduce the probability of errors.

The invention belongs to the technical field of digital twinning in the building industry, and discloses a data interaction management and control method and system based on a BIM model. According to the method, BIM model standardization transformation and processing are carried out on buildings, structures and electromechanics collected in the bidding stage, and fbx format files are exported; materials are endowed to the building model, the structure model and the electromechanical model again, a file is exported through a datasmith plug-in, and Unreal Engine software is imported; making a custom button and a UI system; and adding a label to the imported BIM model, and linking with the label to complete interaction with the BIM model. According to the method, a traditional reporting mode is broken, interactive association of two-dimensional images and texts and three-dimensional scenes is realized, linkage interaction of data, scenes and construction animations is supported, seamless fusion of images, texts and tables and three-dimensional results is realized, and immersive design, construction concept transmission and three-dimensional interactive reporting experience are created.

The invention provides a firmware upgrading method, an upper computer and a zero terminal. The method comprises the following steps: acquiring the capacity of the SD card; selecting the type of the SD card needing to be manufactured; wherein the type of the SD card comprises a conventional SD card, an SD starting card, an SD repairing card and an SD upgrading card; selecting firmware compiled in the compiling environment in advance; wherein the firmware is composed of a plurality of files; according to the capacity of the SD card and the type of the SD card needing to be manufactured, corresponding content and a starting mark are written into a preset sector format. According to the firmware upgrading method, different types of SD cards can be manufactured through upper computer software, and a USB interface or a GMAC interface used in a conventional upgrading scheme is omitted.

The invention relates to a cloud desktop multi-scene multi-mirror-image solution, and aims to solve the problems of high mirror image management complexity, switching flexibility and performance challenge, safety and compliance risk, user experience and training cost, cost and efficiency balance and the like in the existing cloud desktop multi-scene multi-mirror-image solution. The key points of the invention comprise a single-mirror-image multi-scene adaptive lightweight architecture, a registry-based software dynamic hiding technology and a scene strategy dynamic loading mechanism. By combining the single basic mirror image with the dynamic registry strategy, the number of mirror images and the storage cost are remarkably reduced, the flexibility of scene switching and the user experience are improved, the safety and the compliance are enhanced, and the license cost and the resource consumption are reduced. The specific implementation mode of the invention comprises the steps of making a basic mirror image, optimizing and installing required software, making a desktop template, dynamically controlling the software, updating and maintaining a strategy and the like, and efficient and flexible cloud desktop multi-scene management is realized.

A system and methods are disclosed for end-to-end provable guarantees for safety critical computer platforms. The technical problem addressed by this invention is the need to provide assurance that a complex safety-critical computer platform behaves as intended and is secure, particularly in safety-critical contexts where errors or malicious attacks can have devastating effects. Despite advances in methodologies and toolchains for high-assurance software production, there remains a significant gap between theoretical guarantees and practical implementation at the operation instruction level (e.g., Assembly language instruction, byte-code instruction, digital circuit state-machine instruction etc.). The present invention overcomes this limitation by providing a system for verifying key security properties for safety-critical computer platforms at the operation instruction level without reliance on custom generation pipelines or certified compilers, thereby enabling the practical development of more secure and reliable computer platforms.

The invention relates to the technical field of program development, and particularly provides an intelligent code generation method, system and device based on artificial intelligence and a medium, and the method comprises the steps: receiving a natural language demand of a user, and intelligently routing the natural language demand to an understanding model for processing through an AI native gateway; and the gateway performs protocol conversion and data standardization on a model return result to generate a structured task atlas. According to the atlas, a gateway cooperates with a plurality of target AI models to initiate a code generation request, and the gateway performs protocol conversion and standardization on the request and response to respectively obtain front-end and rear-end code snippets; and the code snippets and the basic project templates are assembled, and the assembled codes are automatically tested. And after the test is passed, the deployment instruction is converted into a protocol format required by the target environment through the gateway, and automatic deployment is executed. According to the invention, upgrading from low-code development to an intelligent software production line is realized.