CN-122022180-A - IT asset operation management method and system based on artificial intelligence technology application

CN122022180ACN 122022180 ACN122022180 ACN 122022180ACN-122022180-A

Abstract

The invention relates to the technical field of IT asset management, in particular to an IT asset operation management method and system based on artificial intelligence technology application, comprising the following steps, asset change data and operation performance data of terminal equipment in the operation and maintenance process are collected in real time through a system interface, and cross-system association analysis is carried out on the data by utilizing an asset management intelligent agent. According to the invention, the health degree evaluation is carried out on the terminal equipment based on the performance index base line to generate maintenance or scrapping decisions, meanwhile, the idle time of the terminal is monitored, the hierarchical power supply control is carried out by combining the user authority attribute, file change and circulation transaction receipts to be audited are automatically created in the asset management system according to the analysis result, and the data barriers of the operation and maintenance system and the asset system are opened by introducing the intelligent agent technology, so that the transition from passive recording to active sensing is realized, and the problems of asset file lag, unreasonable configuration and power resource waste in the traditional mode are solved.

Inventors

CHEN YUJUN
LU JIAO
JIN LONG
ZONG NING
TONG GUIXIAN
XIA MIN

Assignees

安徽省立医院(中国科学技术大学附属第一医院)

Dates

Publication Date: 20260512
Application Date: 20260205

Claims (10)

1. An IT asset operation management method based on artificial intelligence technology application is characterized by comprising the following steps: Acquiring asset change records through an operation and maintenance management system interface, and acquiring resource monitor data of terminal equipment and user input behavior data in real time through a client program, wherein the resource monitor data comprises CPU (Central processing Unit) utilization rate, memory occupancy rate and disk read-write indexes; Analyzing the asset change records by utilizing an asset management agent, comparing the asset change records with current archive information in an asset management system, and identifying and marking abnormal asset data with information differences; the asset management agent evaluates the resource monitor data based on preset index baseline data, judges whether the performance state of the terminal equipment meets the current business requirement, and generates an asset disposal strategy for the terminal equipment according to the performance state; Monitoring the user input behavior data to determine an idle duration, and judging whether to execute a forced shutdown instruction or not by combining the authority attribute of the terminal user when the idle duration reaches a preset threshold; And the closed loop execution step is that the asset management agent automatically creates corresponding to-be-checked transaction receipts in the asset management system and the operation and maintenance management system according to the abnormal asset data, the asset disposal strategy and the power supply management and control result, wherein the to-be-checked transaction receipts comprise file change lists, performance maintenance work orders and ex-warehouse circulation information.
2. The IT asset operation management method based on artificial intelligence technology application of claim 1, wherein the specific process of the consistency analysis step is that when identifying that the characteristics of an asset offline, information change or an asset newly added work order occur in the operation and maintenance management system, the asset management agent extracts key fields in the asset change records, verifies data in corresponding plates of the asset management system, and if the verification results are inconsistent, generates alarm information and triggers an archive automatic correction process.
3. The method for IT asset operation management based on artificial intelligence technology application according to claim 1, wherein the configuration evaluation step specifically comprises: acquiring request response time data when a client accesses a service system through a browser interface; The CPU utilization rate, the memory occupancy rate and the request response time data are weighted and compared with the index baseline data; If the index exceeds the baseline range, generating an asset decision report containing maintenance, replacement or scrapping advice through calculation by combining scrapping age information of the terminal equipment in the asset management system and weight of the department.
4. The method of IT asset operation management based on artificial intelligence application of claim 3, wherein the execution of the asset disposition policy in the closed loop execution step specifically comprises: if the asset decision report suggests maintenance, creating a performance maintenance worksheet in the operation and maintenance management system; If the asset decision report suggests replacement or scrapping, creating out-of-warehouse to-be-checked information in the asset management system; multiple agents executing different decision logic are aggregated using agent swarm techniques to create data in different management systems with uniform digital identity rights.
5. The method for IT asset operation management based on artificial intelligence technology application according to claim 1, wherein the process of monitoring the user input behavior data to determine the idle duration comprises: Calling a native API interface of a client operating system, and acquiring a timestamp input by a user for the last time by the system through GetLastInputInfo functions; calculating the difference value between the current time and the time stamp to obtain the idle duration; and triggering a shutdown reminding popup window on the interface of the terminal equipment when the idle duration exceeds a first preset threshold.
6. The method for IT asset operation management based on artificial intelligence application of claim 5, wherein the forced shutdown determination logic in the power management step specifically comprises: In a monitoring period after triggering the shutdown reminding popup window, if no new user input behavior is detected, starting permission verification; Searching corresponding user attributes and department categories in a locally preset user mapping table according to the IP address of the terminal equipment; if the user attribute belongs to the non-forced shutdown white list, only recording an idle state; And if the user attribute belongs to the controllable category, invoking AdjustTokenPrivileges interface of the client program to acquire SE_SHUTDOWN_NAME authority and executing a system SHUTDOWN instruction.
7. The artificial intelligence application based IT asset operation management method of claim 6, further comprising: And the electricity consumption statistics step, wherein the asset management agent counts the duration of each terminal device in the unmanned operation state, calculates the electricity waste value by combining the device power parameter, and generates a real-time energy consumption report according to the department dimension.
8. The method for IT asset operation management based on artificial intelligence technology application according to claim 1, wherein in the consistency analysis step, the asset management agent adopts a cross-platform data synchronization mechanism to monitor a change log of an operation and maintenance database in real time, and when the abnormal asset data is identified, the artificial review process is driven by generating system transaction information.
9. The IT asset operation management method based on artificial intelligence technology application according to claim 1, wherein in the collecting step, the terminal device establishes a long connection with the asset management agent through a deployed client daemon, and the client daemon is responsible for preprocessing local data and performing a bottom layer of control instructions.
10. An IT asset operation management system based on an artificial intelligence technology application, said system being for implementing an IT asset operation management method based on an artificial intelligence technology application according to any one of claims 1 to 9, characterized in that said system comprises: The data acquisition module is configured to synchronously acquire the work order change data of the operation and maintenance management system and the real-time operation index of the terminal hardware through an API (application program interface) and a client program; An analysis module configured to deploy the asset management agent, perform cross-system data consistency verification, performance baseline based asset health calculations, and idle state identification of user behavior patterns; The decision execution module is configured to dynamically generate the asset disposal strategy or the power supply control instruction according to the analysis result and call the system authority to execute shutdown operation; And the bill generating module is configured to convert the decision result into a standardized business process bill and automatically distribute the standardized business process bill to the asset management system or a to-do queue of the operation and maintenance management system.

Description

IT asset operation management method and system based on artificial intelligence technology application Technical Field The invention relates to the technical field of IT asset management, in particular to an IT asset operation management method and system based on artificial intelligence technology application. Background With the continuous improvement of the informatization construction level of hospitals and the continuous perfection of intelligent service systems, the number and types of IT terminal assets in hospitals are also continuously increased, and accordingly, various problems are caused in the management of IT terminal assets in hospitals, namely, inaccurate asset files, incapability of updating information of users, department changes, network withdrawal, additional assets and the like in real time due to the fact that system data are not always available, unreasonable asset allocation, old and old department terminals of toll collection, outpatient service, emergency and the like cannot be replaced in time, business efficiency is affected, performance data are not easily allocated as required, and a PC terminal in the hospital is not powered off for a long time, so that performance is reduced, power is wasted, and development clients are required to realize idle monitoring, reminding and forced shutdown. How to scientifically and effectively realize the management of IT terminal type assets in a hospital gradually becomes important. The IT asset management technology is a technical set for monitoring, scheduling and maintaining the whole life cycle of information technology terminal equipment in enterprises or institutions by utilizing computer software, network communication and artificial intelligence means, and mainly covers links such as asset profiling, state monitoring, configuration optimization and energy consumption management, and aims to guarantee stable operation of IT infrastructure and improve resource utilization rate. The traditional IT asset management mode is to rely on a manual periodical checking and manual recording mode to maintain an asset account, an operation and maintenance department and an asset management department usually use independent software systems, data interaction mainly depends on paper receipts or offline form circulation, and the running state (such as CPU load and on-off condition) of hardware equipment is usually independent of an asset file and only focused when a fault occurs. However, the prior art has significant defects in practical application, because of the rupture of the operation and maintenance system and the asset system, when the physical position of the equipment is changed, a user is changed or the equipment is disconnected, the asset file cannot be synchronously updated, so that the phenomenon of inconsistent account is long-term existed, the asset allocation lacks scientific basis based on actual performance data, the problem that the high-performance equipment is idle or the low-performance equipment drags slowly to the business efficiency is easily caused by only carrying out the elimination or the upgrading by the age, and in addition, a large number of office terminals are in idle and open states in the non-working time, and an effective centralized management and control means is lacked, so that serious electric power resource waste is caused. Based on this, the present application is intended to propose an IT asset operation management technology based on artificial intelligence technology application, in order to solve one or more of the above mentioned problems. Disclosure of Invention In order to solve the technical problems in the prior art, the embodiment of the invention provides an IT asset operation management method and system based on artificial intelligence technology application. The technical scheme is as follows: in one aspect, an IT asset operation management method based on artificial intelligence technology application is provided, comprising the steps of: Acquiring asset change records through an operation and maintenance management system interface, and acquiring resource monitor data of terminal equipment and user input behavior data in real time through a client program, wherein the resource monitor data comprises CPU (Central processing Unit) utilization rate, memory occupancy rate and disk read-write indexes; Analyzing the asset change records by utilizing an asset management agent, comparing the asset change records with current archive information in an asset management system, and identifying and marking abnormal asset data with information differences; the asset management agent evaluates the resource monitor data based on preset index baseline data, judges whether the performance state of the terminal equipment meets the current business requirement, and generates an asset disposal strategy for the terminal equipment according to the performance state; Monitoring the user input behavior data to det