Shulou(Shulou.com)06/02 Report--

In January 2017, the notice of the 13th five-year Plan for the development of national education clearly pointed out: support all kinds of schools at all levels to build intelligent campuses, and make comprehensive use of Internet, big data, artificial intelligence and virtual reality technology to explore new models of education and teaching in the future.

Therefore, in the process of digital campus operation and maintenance, how to accelerate the realization of smart campus, enhance the "wisdom" of smart campus platform and achieve efficient operation and maintenance has become a major problem faced by education departments and university leaders.

Many practical problems faced by Campus Informatization

With the rapid development of campus informatization, there are many types of equipment in the campus network, the network topology is complex, and there are many information applications. Each department uses different business applications to carry out equipment management and platform maintenance, resulting in repeated construction of equipment, network management is very cumbersome.

The main problems faced by the operation and maintenance management of digital campus:

(1) Network management, server management, computer room environment monitoring and other systems are independent of each other, the network security equipment can not be effectively monitored, the operation trend of IT equipment can not be understood in time, the fault can not be located accurately, and the fault handling efficiency is low.

(2) lack of technical system standards, norms and overall construction plan, affecting the long-term development of the school.

(3) emphasizing management rather than service, each department manages independently, neglecting the data exchange service with the business department.

(4) the long-term accumulated data collation and storage work is not perfect, unable to assist leaders to make scientific decisions.

(5) lack of complete records of handled problems and problem equipment, encounter similar problems, re-explore or rely on individual technicians, lack of perfect fault handling and rapid repair mechanism

(6) the quantitative assessment standard is not clear, the workload and work efficiency of operation and maintenance personnel can not be effectively supervised, and a benign supervision mechanism can not be formed.

Although these problems have been paid enough attention, they still can not be solved effectively. Therefore, for how to operate and maintain, how to operate and maintain efficiently, the digital campus urgently needs to make reasonable planning and development of the operation and maintenance system, optimize the existing operation and maintenance management system, and create an efficient IT operation and maintenance management platform.

Construct the cognition of several aspects of campus operation and maintenance

How to build from the service mode and operation and maintenance management of the intelligent campus, and how to provide fast, efficient and practical operation and maintenance services for colleges and universities is an important index for the intelligent campus to realize "wisdom". It is also the inevitable trend of the sustainable development of campus operation and maintenance business in the future.

The functions of intelligent campus include wisdom teaching, wisdom management, wisdom scientific research and wisdom service, etc. it is mainly manifested in the wisdom fusion of management information system based on university organization, the wisdom management of information environment, convenient work flow adjustment, educational resource allocation prediction and decision-making ability based on big data, and so on. Therefore, the cognition of the following aspects is particularly important for colleges and universities to realize the construction of intelligent operation and maintenance management platform.

(1) Integrated operation and maintenance management tools and intelligent visual management

The integration of operation and maintenance management tools includes business independent management service system, call system, mail delivery system, intelligent network management system, automatic data configuration system, remote control system, routing test system, line load monitoring system and so on. Among them, the data automatic configuration system can update network data monitoring or topology in time, and generate traffic or bandwidth statistics reports.

Visualization is the inevitable trend of the development of intelligent campus. Visualization means that operation and maintenance administrators monitor the operation of virtual machines, network devices, routers, servers, switches, storage, IP, integrated cabling, monitoring devices, security devices, environmental control devices and other devices in real time through graphics, 3D, and virtual display provided by professional management platforms. During the operation of the system and equipment, load balancing, routing testing, data storage, CPU and so on can be visualized to promote the intelligent visual management process.

(2) Intelligent teaching system based on big data, learning analysis, resource personality recommendation and other technologies.

The intelligent teaching system in the intelligent campus is different from the isolated multimedia teaching and digital teaching platform of the digital campus, in addition to the convenience and networking characteristics of the digital campus, its function and composition have been greatly expanded: including personalized teaching based on big data and by means of learning analysis, collaborative, adaptive and friendly online community, based on customized information push such as palmtop campus, the management of education and teaching resources The prediction of the allocation of teaching resources.

(3) Cooperative office system

Through the use of unified database technology and unified storage system, we can manage the data on campus uniformly, avoid the information closure between departments, realize the management of personal property business of different departments, and work together inside and outside the school. Collaborative office system is based on the wisdom fusion of the school organization management information system, unified campus educational administration, students, personnel, finance, logistics, scientific research and other management data, which can greatly improve the work efficiency of the management.

(4) Educational resource allocation prediction and decision-making system based on big data

In the era of big data, all the real-time data and historical data collected can be analyzed to gain insight into and predict the development direction of education and teaching, the trend of resource allocation on campus, and the direction of decision-making for running a school. For example, the application of student management under big data, through the construction of educational big data platform, bringing together big data of students at all levels of learning and scientific research, social practice, educational administration, logistics service, and through the analysis and mining of student big data, make full use of big data's quantitative research advantages to create algorithms and models that show the needs of different dimensions such as diligence, honesty and mental health, and embed big data into the management service education link. Based on the five dimensions of students' knowledge, ability, personality, psychology and life, a "five-in-one"student data portrait" system is constructed.

Conclusion:

Campus informatization construction has entered the transition period from digital campus to intelligent campus. From the present situation and future development trend of campus operation and maintenance service, it is urgent to change the existing operation and maintenance service mode and work flow, actively explore and construct the intelligent campus operation and maintenance management platform, and realize the intelligent management of intelligent campus information service and assets.

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