4 results about "Operation model" patented technology

The present application relates to the technical field of retail management, and particularly refers to a lean operation model for clothing retail stores from the perspective of data empowerment. The model comprises a four-dimensional health degree evaluation module, a data report generation module, a store manager interview consensus module and a closed-loop execution review module. The four-dimensional health degree evaluation module constructs a mathematical model based on four dimensions of sales efficiency, human efficiency quality, member value and product efficiency and their subordinate indicators, and outputs an overall health degree score OHS to realize quality diagnosis of store operation. The data report generation module generates five key business reports to convert raw data into visual insights. The store manager interview consensus module realizes the integration of data and experience through a structured eight-step process and generates a SMART rectification plan. The closed-loop execution review module realizes the PDCA cycle through an agile review mechanism. The present application solves problems such as low operation efficiency, decision-making relying on experience and insufficient rectification execution of clothing retail stores through the deep integration of data-driven and lean operation.

This invention relates to the fields of software engineering and artificial intelligence, and particularly to an automated management system for the entire software development lifecycle, including a requirements analysis and architecture design module, a development and testing integration module, a deployment and operation monitoring module, and a visual management module. In the requirements phase, the invention performs semantic parsing of natural language requirements to generate structured documents, intelligently matches historical architecture patterns, and establishes a two-way traceability relationship. In the development and testing phase, it automatically generates code frameworks and test cases, performs incremental code review based on a defect prediction model, and automatically completes log cleaning, fault location, root cause analysis, and defect ticket closure when tests fail. In the deployment and operation phase, it intelligently generates canary release strategies, constructs a digital twin operation model, and enables multi-dimensional tracing and rapid handling of operational anomalies. This invention breaks down data barriers throughout the entire process with a unified digital mainline data layer, significantly improving software development and delivery efficiency and system operational stability.

This application provides a medium- to long-term power system planning method that considers the flexible production mode of nuclear power. The method includes constructing a system operation model with multiple power source categories based on resource data and power parameters, and constructing a capacity planning model with the objective of minimizing the annualized comprehensive cost of the system, combined with first-cost data. Constraints include nuclear power flexibility operation constraints, power supply and demand balance constraints, system reserve constraints, installed capacity constraints, cross-sectional constraints, carbon emission constraints, and energy storage operation constraints. Based on the nuclear power flexibility operation constraints and output data, the system operation model is used to perform production simulation to obtain load forecast data and second-cost data. Based on the load forecast data and second-cost data, the capacity planning model is solved to obtain the power system planning scheme. This method simultaneously considers economic efficiency, low carbon emissions, and flexible regulation capabilities, achieving multi-objective collaborative planning and providing scientific support for the optimization of the power source structure of new power systems.

The application discloses an integrated production operation platform based on digital twin, relates to the technical field of production operation, and establishes a digital twin operation model of a physical execution layer and a virtual mapping layer by constructing state characteristic parameters of operation nodes and fusing multi-source time sequence data, and introduces a state consistency constraint function to represent the synchronization deviation between the two layers; on the basis, real-time iterative calculation is performed on a target operation execution model to obtain state deviation values of each operation node, and state consistency is checked based on signal time sequence logic and a robust online monitoring algorithm to generate an abnormal state judgment result; further, according to the abnormal type, instruction delay, path re-planning or state rollback are executed to realize dynamic correction and closed-loop control of the operation process; the application can effectively improve the accuracy of abnormal identification and the timeliness of processing in complex production operation, and enhance the stability and safety of the overall operation of the system.