10 results about "Software system architecture" patented technology

The invention discloses a motor test bench system, which comprises a hardware system architecture and a software system architecture, wherein the hardware system architecture comprises a mechanical load and sensing unit, a centralized power supply and excitation unit, a data acquisition and control center and an upper computer system; the software system architecture comprises a unified data layer, an automatic control layer, a dynamic load regulation layer, a full-automatic test sequence layer, a man-machine interaction layer, a data analysis and report layer and a collaborative development interface; the problems that an existing test bench is single in signal collection, incomplete in information collection and poor in data synchronism; the load cannot be dynamically changed in real time; and high-order test data results are poor in visualization and cannot be directly converted into test reports.

The embodiment of the invention belongs to the technical field of software engineering, and relates to a software system building method and device, computer equipment and a storage medium, the method comprises the following steps: when monitoring that a target user logs in, displaying a front-end canvas carrying an alternative component to the target user through a front-end building module; receiving a target UI component selected from the alternative components by the target user through the front-end canvas, and writing component configuration data corresponding to the target UI component to obtain a front-end configuration data packet; calling a back-end generation module, and generating a software system architecture code corresponding to the front-end configuration data packet according to the back-end generation module; constructing a deployment configuration file according to the software system architecture code; and pushing the deployment configuration file to a target micro-service container corresponding to a target software system so as to establish the target software system. The development efficiency and flexibility of a software system can be remarkably improved.

The invention relates to an elevator shaft feed network architecture based on an MOPSO algorithm, which comprises a software system architecture and a hardware physical architecture, the software system architecture comprises an optimization design software layer and an operation control software layer, the optimization design software layer comprises an MOPSO algorithm module and a simulation verification module, and the operation control software layer comprises an operation control software layer. The operation control software layer comprises central control software, SAE embedded firmware and a communication protocol stack, the wireless networking access comprises a plurality of intelligent feed array elements, each intelligent feed array element comprises a radio frequency front end, a baseband processing unit and an antenna array, the antenna array supports beam forming and MIMO technologies, and the antenna array is connected with the central control software. According to the architecture, a high-quality signal network is jointly formed from four dimensions of physical deployment, hardware design of an anti-interference antenna, intelligent management and reliability design, so that the problem of signal coverage of an elevator shaft is solved, and the problems of high-quality, high-reliability and self-adaptive coverage are solved; and powerful network connection and signal transmission guarantee is provided for various applications of the intelligent elevator.

This invention discloses a high-efficiency heat exchange air source heat pump system and its control method, belonging to the field of air source heat pump heat exchange control technology. The system includes a heat pump hardware body and an embedded intelligent control software system. The software system constructs a perception-decision-execution-iteration closed-loop architecture, integrating load forecasting, intelligent heat exchange regulation, phase change collaborative control, fault diagnosis, and data interaction modules. Through multi-algorithm fusion, it achieves accurate heat exchange load forecasting, dynamic parameter adjustment, and fault protection under all operating conditions, solving problems such as control lag and poor coordination in traditional systems. This invention significantly improves load forecasting accuracy and reduces regulation lag through innovative software system architecture and multi-module collaboration, achieving precise coordination between phase change components and the main unit, accurate and efficient fault diagnosis, supporting continuous system optimization, significantly improving heat exchange efficiency and operational stability under all operating conditions, reducing energy consumption and maintenance costs, and possessing broad application prospects.

The application discloses a motor precision control unmanned intelligent self-service cabinet system based on serial communication, comprising a hardware system architecture and a software system architecture, wherein the hardware system architecture comprises an integrated control board, an actuating mechanism and an environment sensing module, the integrated control board adopts a double-layer PCB layout with strong and weak electric areas physically isolated; the software system architecture comprises a serial communication layer, an instruction processing layer and an application interaction layer. The motor precision control unmanned intelligent self-service cabinet system based on serial communication disclosed by the application aims to solve the technical problems of low control precision, poor compatibility, insufficient expansibility, low fault diagnosis accuracy and high deployment and operation cost in the existing unmanned intelligent self-service cabinet system.

The invention discloses a track inspection robot based on an SLAM algorithm. Relates to the technical field of inspection robots, and comprises an inspection vehicle module, an upper computer module and a network communication module, the inspection vehicle module and the upper computer module are in communication connection through the network communication module, and the upper computer module is used for issuing an inspection task, checking the state of the inspection vehicle and displaying an inspection map; and the inspection vehicle module receives the inspection task issued by the upper computer module and plans an inspection path based on an SLAM algorithm. According to the track inspection robot, through the multi-level software system architecture of the central controller and the upper computer, the intelligent level of track inspection is comprehensively improved.

The present invention discloses an embedded software system architecture and application method, wherein the software system architecture includes: a system layer and an application layer, a code link layer, a function module layer, a general peripheral access layer and a hardware driver layer, which are arranged in order from top to bottom. The system layer interacts with other layers to provide systematic services; the application layer is used to divide the first task and run the first task; the code link layer is used to link the code of the application layer and the underlying code; the function module layer is used to manage functional components and lower-layer interfaces; the general peripheral access layer is used to divide and run the second task associated with the underlying code; the hardware driver layer is used to drive chips and chip peripherals and encapsulate the driver interface. In the present invention, the architecture of each layer is simple and each layer performs different functions, the implementation cost is low, and the design can be tailored and expanded according to the actual system architecture design requirements, and cross-domain applications can be realized, with strong portability and versatility.

The application provides a software architecture recovery method and device. By introducing a phrase-level architecture topic semantic, the significance of semantic distinction between files is improved. By constructing a semantic prototype and reasoning a cluster-level semantic representation, hierarchical improvement from a file-level semantic to a cluster-level semantic is realized. By identifying cross-language interaction relationships and introducing a cross-language topology completion mechanism, the structural vulnerability of a cross-language boundary in a graph model is compensated. Finally, structural dependence, semantic association and cross-language topology information are fused to improve the accuracy and structural consistency of cross-language software system architecture recovery.

The application relates to a method for measuring the coupling degree of microservices based on a clustering algorithm, and belongs to the field of software system architecture design. The method comprises the following steps: acquiring the microservice upgrade situation in a statistical period, and generating a microservice upgrade matrix; forming a microservice coupling degree vector according to the microservice upgrade matrix; using the microservice coupling degree matrix as data combination, performing clustering operation on the data in the microservice coupling degree matrix by using a clustering algorithm, and classifying each microservice according to the coupling degree between the microservices; measuring the microservice coupling degree, and according to the measurement result of the microservice coupling degree, adopting a corresponding service management method to analyze and improve the microservices. The method can realize efficient and continuous evaluation of the microservice architecture.

The application provides a software architecture recovery method and device. By introducing a phrase-level architecture topic semantic, the significance of semantic distinction between files is improved. By constructing a semantic prototype and reasoning a cluster-level semantic representation, hierarchical improvement from a file-level semantic to a cluster-level semantic is realized. By identifying cross-language interaction relationships and introducing a cross-language topology completion mechanism, the structural vulnerability of a cross-language boundary in a graph model is compensated. Finally, structural dependence, semantic association and cross-language topology information are fused to improve the accuracy and structural consistency of cross-language software system architecture recovery.