14 results about "Modular software" patented technology

The invention provides a multi-purpose electrical practical training method and device based on a PLC, and the method comprises the steps: constructing a hardware architecture integrated with multi-specification PLCs, and selecting different types of PLCs to adapt to diversified practical training demands from simple control to complex system protection; a digital quantity signal processing module and an analog quantity signal processing module are configured to realize bidirectional interaction of digital switch signals and analog operation parameters, and a signal interaction network of a real industrial scene is constructed; a man-machine interaction interface is designed, two functional modules of system simulation and a practical training platform are integrated through a touch screen panel, and parameter setting, state display and control logic simulation operation are supported; a modular software architecture is established, generator-transformer group protection, line protection, bus protection and control system simulation sub-modules are deployed in a unified manner, and a standardized hardware interface and a software expansion space are reserved to support function iteration.

The present invention relates to a modular software platform for information processing oriented towards achieving specific objectives. It integrates multiple algorithms, as well as Large Language Models (LLMs) and Artificial Intelligence (AI) tools. Through an iterative process, and supported by a set of modules configured for specific outcomes, the present invention is capable of delivering different results based on text enriched by its distinctive iterative process. In particular, the present invention proposes a system that combines Large Language Models (LLMs) with artificial intelligence (AI) tools operated iteratively, as well as the use of APIs, to extract relevant information from user input and provide meaningful results tailored to the limitations and / or requirements established in the set of modules of the invention.

An integrated system for dynamic optimization and advanced control of a laser machine is described, comprising: a plurality of sensors, a dynamic parameter optimization module for real-time adaptation of cutting parameters, a power saving module for efficient management of energy consumption and a modular software architecture. Furthermore, a method for dynamic optimization of laser cutting is described, comprising the steps of: acquiring operational data, analyzing by means of a machine learning algorithm, dynamically adjusting parameters, continuously monitoring the process and detecting defects. Such a method is performed by means of the aforementioned system, ensuring improvements in precision, energy efficiency and overall quality of the product. The present application also provides a laser machine and a method for dynamic optimization of laser cutting on a laser machine. The present application also provides an integrated system for optimization and advanced control of laser cutting. The present application also provides a computer program.

Provided are a driver-assistance method and apparatus, a device and a storage medium. The method includes that: diagnosis information of multiple sensors of a target vehicle, diagnosis information of multiple actuators of the target vehicle, and diagnosis information of multiple modular software functions are acquired in real time; a failure condition of a driver-assistance function of the target vehicle is determined according to the diagnosis information of the multiple sensors, the diagnosis information of the multiple actuators, and the diagnosis information of the multiple modular software functions; and a driver-assistance strategy of the target vehicle is determined according to the failure condition of the driver-assistance function of the target vehicle, and the target vehicle is continued to be assisted in driving according to the driver-assistance strategy.

Methods, apparatuses, systems, computing entities, and / or the like are provided. An example method may include determining per-application configuration data associated with a software application; determining per-client configuration data associated with a client system; determining per-application per-client configuration data associated with the software application and the client system; generating modular configuration data based at least in part on at least one of the per-application configuration data, the per-client configuration data, and the per-application per-client configuration data; generating a releasable software application based at least in part on the modular configuration data; and performing one or more software release operations by transmitting the releasable software application to the client system.

An example computing platform is configured to identify a subset of source code files for a modular software application that have changed. The computing platform further creates a dynamic test plan comprising a targeted subset of available software tests by (i) obtaining a dependency map that identifies various dependency relationships between the software application's modules, (ii) based on the dependency map, generating an impact map that identifies various impact relationships between the software application's modules, (iii) based on the impact map, generate a test map that identifies various tests that correspond to the software application's modules, and (iv) select the targeted subset of available software tests based on the test map and the identified subset of source code files. Finally, the computing platform executes the dynamic test plan comprising the targeted subset of available tests.

The application discloses a kind of based on multimodal communication's simulation cabin interaction method, device and electronic equipment, it is related to intelligent simulation cabin multimodal interaction technical field, including constructing intelligent seat cabin environment, using non-invasive layout, complete the decoupling between software function components in multimodal communication.The application reduces the cognitive load and operation failure rate of driver in high-pressure scene;Finally, the system has adaptive closed-loop control ability based on biological feedback, can dynamically simplify UI interface according to the fatigue or stress state of driver and actively provide multi-sensory warning assistance, while modular software design ensures the high expansibility and low delay (<100ms) of system, significantly improves the safety, fidelity and intelligent level of simulation cabin training.

Embodiments of the present disclosure relate to a traffic computer remote terminal unit with a modular software architecture. A method includes executing, by a traffic remote terminal unit (RTU) management system, a plurality of application instances, the plurality of application instances managing one or more industrial operations at an industrial facility; and receiving, by an enabling framework of the RTU management system, input device information associated with the one or more industrial operations from one or more input devices from the industrial facility. The enable framework manages a plurality of application instances executed by the traffic RTU management system, and the enable framework is partitioned in memory separately from the plurality of application instances. The method further includes determining, from the plurality of application instances, one or more application instances utilizing the input device information based on a scheduler using the enable framework; and providing, by the framework-enabled scheduler, the input device information provision to the determined one or more application instances.

The application provides a control method for integrating chassis management and network switching, and belongs to the technical field of network communication equipment; by uniformly integrating the BMC embedded on the switching board and the command line interface (CLI) of the network switching equipment, seamless fusion of network configuration and chassis health management is realized; the device adopts a modular software and hardware architecture, constructs a standardized interconnection between the switching board, the BMC module and the network processor, and supports unified access of any service port and management port; a unified command analysis engine is built in the system, traditional network management commands and chassis monitoring commands are standardized and integrated, intelligent prompts and online help are provided, and the operation and maintenance complexity is reduced; by collecting key parameters such as temperature, voltage, fan speed and power consumption in real time, combining a comprehensive health evaluation and a fault diagnosis mechanism, precise monitoring and early warning of the internal environment state of the chassis are realized.

Smart camera systems may comprise one or more modular assemblies, including a camera assembly, a light assembly, and a compute assembly. Each of the modular assemblies may be further formed from various modular components, circuits, or elements, and also include various modular software, applications, or algorithms related to image capture and processing. Using the modular assemblies, various different smart camera systems may be assembled that are adapted for different applications or environments.

This invention discloses a modular HCU software model development method for range extender bench testing, belonging to the field of new energy vehicle range extender electronic control system software development technology. It addresses the core technical problems existing in current range extender bench testing methods. The method includes the following steps: Step 1: Building a development environment based on the VCU hardware platform and supporting code generation toolchain; Step 2: Developing a modular architecture for the HCU software model; Step 3: Constructing a complete HCU software model and performing full-module testing; Step 4: Building a simulation verification platform and conducting simulation verification tests; Step 5: Final integration of the HCU software model based on the simulation verification tests; Step 6: Completing software code preparation and hardware connection, and conducting low-voltage bench testing; Step 7: Formal deployment of the HCU software model to the range extender bench, conducting full-process bench testing and durability tests. This invention improves the automation level of range extender bench testing while enhancing the safety, reliability, and reusability of the development process.

An AI-powered diagnostic and prognostic system is disclosed, architected as a modular Software as a Medical Device. The system fuses patient-specific data with canonical medical knowledge to power a Recommendation Module that dynamically recommends an optimal set of diagnostic tests. An Interpretation Module then processes these multi-modal inputs, generating a single, quantifiable diagnostic metric and a transparent explanation of the result. A Prognosis Module analyzes the metric over time to forecast disease progression, providing actionable clinical outputs. The entire workflow is underpinned by a robust Compliance Module ensuring safety and regulatory adherence. A continuous Learning Loop feeds clinical outcomes back into the system, iteratively refining its AI models. This creates a holistic, trustworthy, and self-improving platform that transforms raw data into a clear diagnostic and prognostic pathway, enhancing accuracy and patient care.

A method includes executing, by a flow remote terminal unit (RTU) management system, a plurality of application instances that manage one or more industrial operations at an industrial facility; and receiving, from one or more input devices at the industrial facility and by an enablement framework of the RTU management system, input device information associated with the one or more industrial operations. The enablement framework manages the plurality of applications instances being executed by the flow RTU management system, and the enablement framework is partitioned separately in memory from the plurality of application instances. The method also includes determining, based on using a dispatcher of the enablement framework, one or more application instances, from the plurality of application instances, that utilize the input device information; and providing, by the dispatcher of the enablement framework, the input device information to the determined one or more application instances.

The invention discloses a sand adding control method and system for diamond wire manufacturing equipment, and relates to the technical field of diamond wire production. According to the system, a closed-loop control framework is constructed based on real-time visual feedback and dynamic adjustment, key parameters of the cutting rate and the cutting height of sand grains on the surface of a diamond wire are collected through a visual detection system, auxiliary parameters such as the liquid level, the temperature and the pH value of a sand tank are combined, and the required adjustment amount of additives and carborundum is calculated through a multivariable control algorithm; and working parameters of the peristaltic pump are dynamically adjusted to realize accurate sand adding. The system integrates modularized software functions, multiple safety fault-tolerant mechanisms and self-adaptive learning capability, has the characteristics of high control precision, strong stability and good expandability, effectively solves the problems of inaccurate concentration control, response lag and the like in a traditional sand adding mode, and remarkably improves the production quality and efficiency of the diamond wire.