10 results about "Information technology management" patented technology

The invention provides an enterprise-oriented MCP-combined AI service unified management method and system in the technical field of enterprise information technology management and artificial intelligence application. The method comprises the steps that S1, a server registers all models as AI services in a unified mode; s2, the AI gateway obtains an AI task request sent by an employee terminal to perform identity authentication, and matches authority information; step S3, interacting with the server through the load balancing and security gateway, querying AI services of which authority information can be called, and pushing the AI services to a visual interface of an employee terminal; s4, arranging each AI service by the visual interface based on the triggered drag signal and click signal to generate an AI task, and sending the AI task to a load balancing and security gateway for execution; s5, in the AI task execution process, an abnormal event is captured to give an alarm; and S6, recording an execution log in real time. The method has the advantages that the centralization, the safety and the usability of AI service management are greatly improved.

The invention relates to the technical field of information technology management, in particular to an indoor and outdoor integrated coverage test and evaluation system for a power wireless network. Comprising a data acquisition module, a positioning and registering module, an environment modeling module, an intelligent evaluation module, an optimization decision module and a feedback updating module. The data acquisition module is used for acquiring multimode wireless signals and environment state information of an electric power communication network; the positioning and registering module is used for realizing high-precision positioning and indoor and outdoor unified space-time calibration of acquired data; the environment modeling module is used for constructing a three-dimensional propagation model including buildings, power equipment and topographic elements. The system supports synchronous acquisition and conjoint analysis of indoor and outdoor data, solves the problems that indoor and outdoor tests are separated and data cannot be aligned in an existing scheme, and realizes global coverage evaluation of a real power communication environment.

This invention provides an operating room medical staff behavior management system, belonging to the field of information technology management consulting technology. It includes: a process configuration module for determining the corresponding surgical list for each medical staff member based on their job permissions and configuring the behavior monitoring process; a process parsing module for setting monitoring targets for medical staff based on the parsing results of each monitoring step; a personnel analysis module for identifying non-standard behaviors of medical staff based on the behavior monitoring results of each monitoring step and analyzing all non-standard behaviors of each medical staff member involved in the current surgery to obtain comprehensive behavioral norms; and a behavior management module for determining the list of permitted dispatch personnel and behavioral norms for all hospital areas based on the comprehensive behavioral norms and the analysis results of medical staff in the corresponding surgical scenarios, storing this list on a cloud platform for managers of different hospital areas to view. This effectively achieves efficient, standardized, and managed operating rooms.

The invention relates to the technical field of management informatization, in particular to a risk management and control method and device based on a safety eye system and a readable storage medium. The method comprises the following steps: acquiring historical hidden danger data, and performing data clustering on the historical hidden danger data to determine cause elements; the historical hidden danger data is data collected by a safety system when a historical accident occurs; the cause factors represent cause factors causing historical accidents in the historical hidden danger data; establishing a Bayesian network model of a to-be-analyzed system, and determining hidden danger Bayesian network nodes; determining an accident probability and a hidden danger grading list of the hidden danger Bayesian network nodes according to the cause elements; and performing risk management and control on the to-be-analyzed system based on the accident probability and the hidden danger grading list. Through the method, certain analysis capability can be adapted to informatization risk hidden danger supervision and control, and intelligent analysis and risk grading are performed based on the risk hidden danger data.

The invention relates to the technical field of information technology management, in particular to an achievement transformation evaluation method and system based on big data, and the method comprises the steps: building a multi-field data sample library, evaluating the value of intellectual property, and evaluating the innovation degree of scientific and technological achievements. The evaluation system comprises a big data acquisition module, a database module, a data entry module, a feature vector module and a feedback module, and can be used for matching the achievement conversion information of multiple fields and fields, evaluating the automatic intellectual property, evaluating the technological innovation degree of scientific and technological achievements, and improving the evaluation efficiency. Therefore, the potential risk, market value, feasibility and innovation degree of scientific and technological achievement transformation are assessed, assessment of scientific and technological achievement transformation has multi-aspect index consideration, the accuracy of scientific and technological achievement transformation assessment is improved, a feasibility assessment report is automatically made through the system, and the workload of workers can be reduced.

The invention relates to the technical field of distributed task scheduling, in particular to a computer information technology management distributed task scheduling control system, which comprises a path identification module, a node screening module, a link monitoring module, a popularity adjusting module and a state delay module. According to the method, the stability problem in the scheduling path is clarified through joint identification of the period rule, the jump depth and the node aggregation distribution of the task path jump behavior, a path label coverage threshold judgment mechanism is introduced in the node elimination and initial screening process, effective avoidance of jump abnormal nodes is enhanced, and the scheduling efficiency is improved. In a path execution process, dual dynamic monitoring of response time and a resource occupancy state is combined to realize real-time discrimination of a link retardation behavior, and path replacement optimization is performed according to path heat and node number difference in a path adjustment stage to realize rapid identification and accurate repair of scheduling link state change in a scheduling environment.

A device upgrade method includes the following steps. A control module of a display device and an information technology management module of a remote server are used to establish a network connection through the switch module of the display device. The control module is used to transmit device information to the information technology management module. The information technology management module is used to perform a verification process on the device information and generate device upgrade information to the control module. The control module downloads the device upgrade data from the information technology management module according to the device upgrade information, verifies the device upgrade data, and performs an upgrade process on a function device of the display device according to the device upgrade data.

This invention discloses an information technology management consulting system and method for intelligent information technology service management, relating to the field of fault information maintenance technology. Addressing the problems of existing operation and maintenance knowledge bases relying on manual updates and having low retrieval matching accuracy, this invention's method first intercepts and cleans operation and maintenance terminal operations to generate standardized event sequences; then, it generates knowledge records by aligning asset topology attributes with monitoring alarm context; when new fault features match topology attributes, it recommends knowledge and captures feedback; further, it establishes a credibility scoring model based on the state transition of fault work orders to dynamically verify and score knowledge; finally, it achieves automated admission and removal management of the knowledge pool based on credibility scores. This invention also discloses a corresponding management consulting system. This invention realizes the automated accumulation and closed-loop iteration of operation and maintenance knowledge, establishes a strong logical association between operations and fault root causes, and significantly improves the accuracy and executability of knowledge recommendation.

The invention provides an operator personnel efficiency health degree evaluation method based on multi-post linkage and dynamic weight and related equipment, and belongs to the technical field of information technology management. The method comprises the following steps: acquiring service data of an operator; constructing a knowledge base based on historical data and experience information; the knowledge base comprises a post index factor static weight base, a post index factor relation base and an event base; based on the knowledge base, calculating mutual influence fluctuation between different post index factors to obtain linkage influence data; calculating a dynamic weight according to the multi-post linkage relation matrix model and the linkage influence data to obtain an adjusted dynamic weight matrix; and performing personnel efficiency health degree calculation according to the dynamic weight matrix and the operator business data to obtain a personnel efficiency health degree score. The method can achieve the dynamic and comprehensive evaluation of the work efficiency of the personnel at different posts.

The invention discloses an information resource full life cycle management platform and method, and belongs to the field of information technology management. The method comprises the following steps: constructing a state orientation vector for each information resource in an information resource set to represent the evolution tendency of the information resource in a preset life cycle state space; receiving a lifecycle event related to the information resource; in response to the event, matching a preset diffraction operator for the information resource; applying a diffraction operator to update the state orientation vector; calculating a final state orientation based on the updated vector and the state orientations of other information resources in the neighborhood; and according to the final state orientation, determining a target state of the information resource and executing a corresponding life cycle management operation. According to the invention, intelligence, self-adaptability and overall efficiency of information resource full-life-cycle management are improved.