10 results about "Matrix management" patented technology

The invention discloses an intelligent terminal function test method and system, and belongs to the technical field of intelligent terminal function test. The method comprises the steps that a dynamic demand tracking mechanism is constructed, UI elements are analyzed, and a topological graph marking resource occupation types and hierarchical dependence is generated; establishing a demand-use case-defect incidence matrix to realize automatic update of the use case state when the demand is changed; executing a test based on the topological graph and the matrix, traversing a path according to a preset strategy, collecting data and comparing an expected result; and optimizing iteration according to a test result, adjusting a node weight and a matrix mapping relation, and generating a new test path and a use case suggestion. The system comprises a dynamic demand tracking module, an incidence matrix management module, a test execution module, an optimization iteration module and a data storage module. According to the method, the test range is accurately adapted to the demand change, the test coverage and the defect tracing efficiency are improved, a test strategy closed-loop optimization mechanism is formed, and the test requirements of a complex system and an agile development mode are met.

The invention relates to an enterprise-level SaaS operation control system based on role layering and authority matrix management. The enterprise-level SaaS operation control system is suitable for complex business scenes of multi-tenant and multi-role cooperation. The system comprises an identity recognition unit, a semantic meta-model subsystem, an authority matrix generation engine, a strategy gray release subsystem, a service instruction mapping module and a unified scheduling and auditing module. Constructing a dynamic permission matrix through a unified semantic token, and complementing permission configuration in combination with context information to form a policy version capable of gray deployment; authority operation is executed in a standard interface form after semantic mapping, log recording and audit control are carried out by a scheduling module, a strategy can be automatically frozen and rolled back when abnormal identification is carried out, and automatic evolution and safe closed-loop management of authority configuration are realized.

This invention discloses a matrix-style intelligent management method and system for policy-based funds, relating to the field of enterprise management technology. It includes: an intelligent policy information acquisition module for automatically collecting and processing policy information; a project lifecycle management module for managing policy-based fund projects throughout the entire process; a matrix collaborative decision-making module for enabling collaborative decision-making among the group, subsidiaries, and government departments; an intelligent risk early warning module for identifying and warning of project risks through big data analysis and AI algorithms; and a performance evaluation module for evaluating the performance of policy-based fund projects. This invention can improve the efficiency of fund management.

The invention relates to the technical field of enterprise information security management, and discloses a multimodal early warning pushing method and system based on global risk real-time perception. Comprising the steps of detecting a sensitive operation link by using a pattern matching algorithm; monitoring a deviation condition between a business data input value and a system preset threshold value in real time, and generating a business data deviation mark when business data deviation conditions such as material inventory lower than a minimum inventory line, fund expenditure exceeding a maximum payment proportion and employment age exceeding a preset value are triggered; calculating a comprehensive deviation degree score by using a weighted summation algorithm; selecting an early warning push mode according to the risk level and receiver channel preference; and packaging a global risk early warning message and pushing the global risk early warning message through a multi-modal channel. According to the method, the hidden unauthorized risk generated by cross-system permission combination in the matrix management enterprise and the abnormal risk that the business data deviates from the preset value can be identified, and the early warning response rate is improved through multi-mode differentiated pushing.

This invention discloses a method and system for functional testing of smart terminals, belonging to the field of smart terminal functional testing technology. The method includes: constructing a dynamic requirement tracking mechanism, parsing UI elements and generating a topology map that marks resource usage types and hierarchical dependencies; establishing a requirement-use case-defect association matrix to automatically update use case status when requirements change; executing tests based on the topology map and matrix, traversing paths according to a preset strategy and collecting data to compare expected results; optimizing and iterating based on test results, adjusting node weights and matrix mapping relationships, and generating new test paths and use case suggestions. The system includes modules for dynamic requirement tracking, association matrix management, test execution, optimization iteration, and data storage. This invention achieves precise adaptation of the test scope to requirement changes, improves test coverage and defect tracing efficiency, forms a closed-loop optimization mechanism for test strategies, and adapts to the testing needs of complex systems and agile development models.

The application discloses a reservoir data matrix management platform and method based on artificial intelligence, relates to the technical field of reservoir data management, and comprises a reservoir three-dimensional simulation module, a reservoir data analysis module, a water quality factor index prediction module, a warning module, a water supply and diversion scheduling plan generation module and a reservoir management module; the reservoir three-dimensional simulation module is used for constructing a real-time three-dimensional simulation model of a target reservoir; the reservoir data analysis module is used for generating real-time water supply and diversion scheduling characteristics and basin flow characteristics of the target reservoir in each basin; the water quality factor index prediction module is used for predicting real-time water quality factor indexes of each basin of the target reservoir; and the warning module selectively sends a warning signal according to real-time water supply and diversion scheduling warning values of each basin of the target reservoir. Through mutual support among the modules, the application realizes matrix management of the target reservoir, and further guarantees safe operation of the target reservoir.

The invention discloses a vehicle communication matrix management system and method based on platform modeling, and the system comprises a front-end module, a rear-end module, and a database. The front-end module comprises a user interaction interface and a function display interface; the rear-end module comprises a user management unit, a platform communication management unit, a vehicle type communication management unit, an authentication unit and a control unit; the control unit is electrically connected with the user management unit, the platform communication management unit, the vehicle type communication management unit, the authentication unit and the database. The control unit calls the user interaction interface and the function display interface according to received signals. Unified modeling and differentiated management of the vehicle communication data are achieved, the reuse rate and maintenance efficiency of the vehicle communication data are remarkably improved, the consistency and safety of the vehicle communication data are effectively guaranteed, good expansibility and adaptability are achieved, and the method is suitable for popularization and application. And engineering application requirements under multiple vehicle types, multiple versions and complex business processes can be flexibly met.

The application is specifically a wisdom legal affairs collaborative processing system based on a legal knowledge graph, relates to the technical field of legal affairs informatization, and comprises a legal information ontology and space-time label module, a three-dimensional dynamic strategy matrix management module, a real-time view synthesis module, a process state synchronization and triggering module, and an audit and strategy tracing module.In the application, the legal information ontology and space-time label module defines standardized types and assigns situational labels to collaborative information, clarifies information association, and lays a standard data foundation; the three-dimensional dynamic strategy matrix management module constructs a dynamic rule engine associated with roles, stages and information attributes, supports flexible definition and adjustment of permissions, can avoid leakage of sensitive information or insufficient information access, a visual configuration device can reduce the threshold of rule control, significantly improves the accuracy and security of legal affairs permission control, and guarantees compliance of information use.

The present application relates to the field of wind power generation technology, and discloses a kind of wind turbine efficiency intelligent analysis method and system.The method of the present application includes constructing wind energy sensitivity matrix, dividing wind speed and wind direction change rate into two-dimensional grid, calculating the power generation efficiency of each grid;Real-time calculation of wind speed standard deviation and wind direction change rate, generate dynamic efficiency deviation index DEVI to evaluate efficiency;Based on weather forecast and matrix data, predict the power loss in the next 24 hours;Trigger level one early warning and visualize the efficiency attenuation area, while executing yaw compensation, power curve verification, cluster collaborative optimization and model self-verification optimization mechanism, the system includes data acquisition and preprocessing, matrix management, dynamic evaluation, loss prediction, early warning visualization, optimization control and self-verification module;The present application improves the accuracy and real-time performance of efficiency evaluation, reduces power loss, and provides support for fine operation of wind power.

The invention relates to a matrix management method and system, and the method comprises the following steps: S1, based on multi-platform account feature analysis, employing an intelligent clustering algorithm, extracting platform visual identification features through an image feature recognition technology, and generating a global account classification atlas; s2, based on the classification atlas, adopting a generative adversarial framework and combining a semantic keyword mining technology to construct a multi-modal label system, and generating a structured video material library; and S3, based on the spatio-temporal characteristics of the material library, calculating an optimal distribution strategy by adopting a deep reinforcement learning framework and fusing a time sequence prediction model. Through combination of an intelligent clustering algorithm and an image feature recognition technology, automatic classification management of cross-platform accounts is realized, the organization degree of a multi-platform account system is remarkably improved, a generative adversarial framework and a semantic keyword mining technology are adopted, a multi-modal label system is constructed, and the multi-modal label system can be used for realizing multi-platform account classification management. The generation process of the video material has the effect of dual adaptation capability of semantic comprehension and visual features.