





































Education, Language and Sociology Research 

ISSN 2690-3644 (Print) ISSN 2690-3652 (Online) 

Vol. 6, No. 4, 2025 

www.scholink.org/ojs/index.php/elsr 

63 
 

Original Paper 

Optimization Design and Practice Path of Shared Management 

of Large-Scale Instruments and Equipment in Universities 

Driven by “Internet Plus” 

Kaitian Luo1, Lili He1 & Xingbing Yang1 

1 Sichuan Minzu College, Kangding, Sichuan, China 

 

Received: November 12, 2025  Accepted: November 30, 2025  Online Published: December 9, 2025 

doi:10.22158/elsr.v6n4p63      URL: http://dx.doi.org/10.22158/elsr.v6n4p63 

 

Abstract 

The ownership of large-scale instruments and equipment in universities, as core strategic resources, has 

been continuously increasing. However, problems such as resource fragmentation, low efficiency, and 

redundant purchases caused by traditional management models have become increasingly prominent. 

From the perspective of “Internet Plus” technology empowerment and combined with practical cases of 

universities in Sichuan Province, this paper systematically analyzes the existing pain points in the shared 

management of university instruments and equipment in five dimensions: mechanism construction, 

technical support, resource allocation, operation and maintenance guarantee, and user services. Guided 

by problems, it constructs a five-in-one optimization system of “mechanism coordination, technical 

empowerment, resource optimization, operation and maintenance upgrading, and service quality 

improvement”, and proposes specific practice paths. The purpose is to provide a reference path for the 

digital transformation of the shared management of university instruments and equipment, and help 

improve the efficiency of scientific research and innovation in universities. 

Keywords 

Internet Plus, large-scale instruments and equipment in universities, shared management, digital 

transformation, resource optimization 

 

1. Introduction 

Driven by both the connotative development of higher education and the improvement of scientific 

research and innovation capabilities, the ownership of large-scale instruments and equipment—core 

strategic resources for universities to carry out cutting-edge research and cultivate high-quality talents—

has been continuously increasing. However, most universities still adopt traditional instrument 



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management models, with prominent problems such as fragmented resources, isolated information, low 

utilization efficiency, redundant purchases, and fragmented operations. A large number of high-end 

instruments remain idle for a long time, forming a sharp contradiction with the practical demand for the 

optimal allocation of scientific research resources. 

With the in-depth penetration of the “Internet Plus” strategy in the fields of education and scientific 

research, technologies such as the Internet of Things, big data, and cloud computing have provided a new 

path to solve the problem of instrument sharing in universities. As a major province in higher education, 

Sichuan Province has actively responded to national policy guidelines in recent years. In June 2025, four 

departments—the Sichuan Provincial Department of Science and Technology, the Sichuan Provincial 

Development and Reform Commission, the Sichuan Provincial Department of Finance, and the Sichuan 

Provincial Department of Education—jointly issued the “Measures for the Administration of Open 

Sharing of Major Scientific Research Infrastructures and Large-Scale Scientific Research Instruments in 

Sichuan Province”. This document promotes universities in the province to connect to the Sichuan 

Provincial Large-Scale Scientific Research Instruments and Equipment Sharing Platform, laying a policy 

foundation for inter-university and cross-regional resource coordination. Pain points under the traditional 

management model, such as barriers to inter-departmental collaboration, time and space constraints, and 

information asymmetry, urgently need to be addressed through digital transformation. Realizing the 

“Internet Plus shared management” of large-scale instruments and equipment can not only break the time 

and space boundaries of resource circulation, improve instrument utilization rates, and reduce scientific 

research costs, but also promote interdisciplinary, cross-campus, and even cross-regional scientific 

research collaborative innovation. This is in line with the development requirements of the state and 

Sichuan Province regarding the open sharing of scientific research infrastructures. 

Against this background, constructing an “Internet Plus” shared management system adapted to the needs 

of universities has become a key measure to promote the intensive use of university resources and 

strengthen scientific research service capabilities. Focusing on the practical pain points and urgent needs 

of the shared management of large-scale instruments and equipment in universities in the “Internet Plus” 

era, this paper conducts research on the optimization design and practice paths of the shared management 

system combined with practical cases of universities in Sichuan, aiming to provide theoretical references 

and practical plans for the digital upgrading of instrument sharing management in universities. 

 

2. Analysis of Existing Problems in the Shared Management of Large-Scale Instruments and 

Equipment in Universities 

2.1 Lack of Shared Management Systems and Insufficient Collaborative Linkage Efficiency 

The shared management of large-scale instruments and equipment in universities generally lacks 

systematic institutional support, with core cruxes focusing on ambiguous division of powers and 

responsibilities and barriers to cross-subject collaboration. Most universities adopt a “college/department 

independent management” model. Taking the author’s university as an example, five laboratories or 



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projects with investment exceeding 10 million yuan each have been built in recent years, but the 

ownership and management rights of large-scale equipment are highly concentrated in each secondary 

college. Cross-college and interdisciplinary sharing still remains fragmented, and few departments are 

willing to share their equipment. Meanwhile, from the actual sharing situation of various universities, 

common phenomena include extensive shared use management, inconsistent charging standards, lack of 

reward and punishment mechanisms, vague intellectual property protection systems, and unclear 

definition of the ownership of scientific research achievements generated by cross-team use of 

instruments. For some provincial universities in Sichuan Province, even though they have accessed the 

provincial sharing platform in accordance with the requirements of the “Measures for the Administration 

of Open Sharing of Major Scientific Research Infrastructures and Large-Scale Scientific Research 

Instruments in Sichuan Province”, problems such as slow response to cross-campus scheduling, 

insufficient resource coordination, and unbalanced resource allocation still exist. 

2.2 Weak Technical Support and Lagging Informatization Construction 

There is a common misunderstanding of “valuing construction over functions” in the informatization 

construction of instrument sharing in universities, which makes it difficult to meet the needs of full-

process management. Existing sharing platforms have single functions, mostly only providing basic 

equipment information display and reservation functions, and lacking core modules such as real-time 

monitoring of equipment status, intelligent scheduling, and data analysis. Researchers cannot accurately 

grasp instrument dynamics, and often face unavailable equipment due to malfunctions after reservation, 

delaying scientific research progress. Investigations show that equipment operation data and usage 

records rely on manual entry, which is inefficient and prone to data errors, failing to provide accurate 

support for optimal resource allocation. Although some universities in Sichuan Province have accessed 

the provincial large-scale scientific research instruments and equipment sharing platform, data standards 

of their original school-level management systems are inconsistent, leading to data barriers in docking 

with the provincial platform and forming “information silos”. This makes it difficult for the university to 

achieve centralized management and coordinated analysis, and also prevents full utilization of the inter-

university collaboration functions of the provincial platform. 

2.3 Unbalanced Resource Allocation, Coexistence of Idleness and Redundant Purchases 

There are significant structural contradictions in the allocation of instrument and equipment resources in 

universities, presenting a “two-tiered” situation: on the one hand, science and engineering colleges 

concentrate a large number of high-end equipment, while liberal arts and art colleges are short of 

resources; on the other hand, different colleges within the same university repeatedly purchase equipment 

with similar functions due to disciplinary barriers. Some instruments have an annual usage time of less 

than 500 hours, with an idleness rate as high as over 40%. When purchasing equipment, some universities 

do not strictly conduct duplicate checking and demonstration through the provincial sharing platform in 

accordance with the requirements of the provincial management measures, but blindly apply for 

purchases at the college/department level, resulting in redundant configuration of large-scale instruments 



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with similar functions on the same campus. For example, some universities have purchased imported soil 

analysis instruments with low annual utilization rates, while other colleges within the university still need 

to reserve similar equipment through off-campus channels, causing a contradiction between resource 

idleness and demand gaps. 

2.4 Extensive Operation and Maintenance Support, Urgent Need to Improve Service Capabilities 

The imperfect operation and maintenance support system has become a key bottleneck restricting the 

quality of shared services. In terms of staffing, the construction of professional operation and 

maintenance teams lags behind. Most universities do not have full-time operators and maintenance 

personnel, who are mostly part-time teachers or graduate students. Their insufficient professional skills 

make it difficult to meet the needs of complex fault handling and daily maintenance, leading to delayed 

equipment repairs. Meanwhile, maintenance management adopts a passive “repair-after-failure” model, 

without establishing full-life-cycle maintenance files for equipment, ignoring daily maintenance and 

regular inspections. This results in increased equipment failure rates and shortened service lives. The 

charging and settlement mechanisms are irregular, and the method of sharing operation and maintenance 

costs is vague. Due to the lack of special funds, some universities pass on costs to users, and excessively 

high charges inhibit usage demand. For example, individual universities, without setting up special 

operation and maintenance funds, include all maintenance costs of large-scale instruments in shared 

charges, leading to higher unit prices for off-campus users than the market average. This not only violates 

the “cost compensation and non-profit principles” of the provincial management measures, but also 

significantly reduces the user activity of the platform. 

2.5 Homogeneous User Experience and Low Willingness to Participate in Sharing 

Pain points in user experience directly affect researchers’ enthusiasm for sharing. In terms of reservation 

processes, some platforms have complex operation interfaces and cumbersome steps. Cross-college and 

cross-campus reservations require approval from multiple departments, with a cycle of up to several days, 

failing to meet urgent scientific research needs. There is a lack of coordination mechanisms for 

reservation conflicts, and the absence of fair scheduling rules when multiple users reserve the same 

equipment is prone to disputes. Although the sharing platforms of some universities have accessed the 

provincial system, they have not updated detailed equipment information synchronously, only marking 

the equipment name and affiliated college. This makes it impossible for inter-university users to judge 

whether the equipment is suitable for their research needs, resulting in low actual utilization rates even 

though the provincial platform provides inter-university reservation channels. After-sales service 

response is lagging; technical support cannot be obtained in a timely manner when problems arise during 

use, complaint and feedback channels are not smooth, and reasonable demands are difficult to be 

addressed. 

 

 

 



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3. Optimization Paths of University Instrument and Equipment Sharing Management Driven by 

“Internet Plus” 

3.1 Construct a Coordinated Management Mechanism System 

Break the collaboration barriers through institutional construction by establishing a unified coordination 

body at the university level. Clarify its core responsibilities in resource scheduling, rule-making, and 

interest coordination to break the fragmented pattern of independent college/department management. 

The practice of Sichuan University is worthy of reference. The university has formulated a series of 

systems such as the “Measures for the Use and Management of Shared Funds for Experimental 

Instruments and Equipment” and the “Implementation Measures for the Management of Open Sharing 

Charges”, and signed the “Annual Responsibility Letter for Equipment Management and Open Sharing”. 

These measures clarify charging standards, reward and punishment rules, and intellectual property 

ownership, forming a systematic institutional guarantee system. 

Formulate standardized sharing rules, including unified cross-departmental charging standards and 

reward/punishment mechanisms based on usage efficiency. Provide financial inclination to 

colleges/departments that actively share equipment, and force idle equipment to be included in the 

sharing platform. Strictly follow the requirements of the “Measures for the Administration of Open 

Sharing of Major Scientific Research Infrastructures and Large-Scale Scientific Research Instruments in 

Sichuan Province”, improve the intellectual property protection system, and clarify the ownership and 

distribution plan of scientific research achievements generated by cross-team and inter-university use of 

instruments. Establish a cross-campus collaboration mechanism to realize the interconnection of 

equipment information and coordinated scheduling across different campuses. Build a unified university-

wide sharing management hub through the “Internet Plus” platform, promote the standardization and 

transparency of management processes, and ensure data synchronization and functional collaboration 

with the provincial sharing platform. 

3.2 Build an Intelligent Informatization Platform with Technology Integration 

Upgrade the functions of the sharing platform relying on “Internet Plus” technology, integrate the Internet 

of Things, big data, cloud computing and other technologies, and construct a full-process intelligent 

management system. In terms of core functional modules, add a real-time equipment status monitoring 

module to collect operating data through sensors and realize automatic fault early warning; develop an 

intelligent reservation and scheduling system to support multi-dimensional retrieval, time-sharing 

reservation and automatic conflict coordination; build a data analysis and decision-making module to 

conduct visual analysis of data such as usage efficiency and idleness rate, providing accurate support for 

resource allocation. University of Electronic Science and Technology of China has promoted the data 

standardization transformation of the university-wide equipment management system by holding 

promotional meetings on the open sharing of large-scale instruments and equipment, laying a technical 

foundation for classified configuration and public platform construction. Its experience can provide 

reference for universities in the province. Strengthen platform security construction, adopt multiple 



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identity authentication, data encryption and other technologies to ensure the security of user information 

and transaction data. 

3.3 Construct a Precise and Efficient Resource Allocation Model 

Realize optimal resource allocation with the help of big data analysis. Collect demand data of scientific 

research equipment across the university through the sharing platform, establish a demand forecasting 

model, provide scientific basis for equipment purchase decisions, and avoid redundant purchases. Strictly 

implement the provisions of the “Measures for the Administration of Open Sharing of Major Scientific 

Research Infrastructures and Large-Scale Scientific Research Instruments in Sichuan Province”. When 

purchasing large-scale instruments of 2 million yuan or more, conduct duplicate checking and 

demonstration through the provincial sharing platform, and take the duplicate checking results as an 

important basis for purchase approval. In response to the differences in equipment needs of different 

disciplines, coordinate interdisciplinary equipment sharing packages through the platform to improve the 

balance of resource utilization. Establish a post-purchase evaluation mechanism for equipment, link 

usage efficiency data with subsequent purchase budgets, and force the precision of resource allocation. 

3.4 Improve a Professional and Standardized Operation and Maintenance Support System 

Build a professional operation and maintenance team management mechanism relying on the platform, 

clarify the post responsibilities of full-time operators and maintenance personnel, and realize the full-

process management of personnel qualification review, skill training and work assessment through the 

platform. Establish full-life-cycle maintenance files for equipment, set up maintenance plan reminders 

on the platform, and realize full-process tracking from daily maintenance to fault repair. Standardize the 

operation and maintenance cost sharing mechanism, strictly follow the “cost compensation and non-

profit principles”, set up special operation and maintenance funds, and realize transparent cost settlement 

through the platform to avoid excessive cost transfer to users. Build an operation and maintenance 

technical exchange platform to promote experience sharing among operators, improve overall service 

capabilities, and ensure stable operation of equipment. Referring to the practice of Sichuan University, 

take the income from shared services as a source of performance-based salary funds, and give distribution 

inclination to experimental technical personnel to stimulate the work enthusiasm of the operation and 

maintenance team. 

3.5 Optimize Convenient and High-Quality User Service Experience 

Optimize the platform service process oriented to user needs, simplify the reservation and approval links, 

realize “one-click application and online approval” for cross-college and cross-campus reservations, and 

shorten the handling cycle. Enrich the platform information display content, detail equipment 

performance parameters, scope of application, operation guidelines and past cases to help users quickly 

match their needs. Ensure the synchronous update of information with the provincial sharing platform to 

improve the convenience of use for inter-university users. At the same time, establish a multi-channel 

service response mechanism, set up entrances for online consultation, fault reporting and complaint 

feedback on the platform, and assign special personnel to handle user demands in a timely manner. 



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Regularly conduct user satisfaction surveys through the platform, collect feedback and continuously 

optimize platform functions and service processes. Constructing a “demand-oriented + active 

communication” model can effectively improve users’ participation enthusiasm. 

 

4. Conclusion 

“Internet Plus” provides key technical support for solving the problems of shared management of large-

scale instruments and equipment in universities, and is a core starting point for promoting the optimal 

allocation of scientific research resources and improving the efficiency of scientific research and 

innovation in universities. By issuing provincial management measures and building a unified sharing 

platform, Sichuan Province has laid a good foundation for the reform of shared management in 

universities in the province. Combining with the practical cases of universities in Sichuan, this paper 

addresses the prominent problems in the current university instrument sharing in terms of management 

mechanism, technical support, resource allocation, operation and maintenance support and user 

experience, and constructs a five-in-one optimization path of “mechanism coordination, technical 

empowerment, resource optimization, operation and maintenance upgrading, and service quality 

improvement”, forming a full-process and multi-dimensional closed-loop of shared management. 

The implementation of this path can effectively break the barriers to resource circulation, improve 

instrument usage efficiency, reduce scientific research costs, and promote interdisciplinary collaborative 

innovation. In the future, it is necessary to continuously optimize the plan in combination with the school-

running characteristics and disciplinary needs of different universities, deepen the integrated application 

of new technologies such as artificial intelligence and blockchain, give full play to the coordinating role 

of the large-scale scientific research instruments and equipment sharing platform, promote the upgrading 

of shared management from “available” to “easy to use”, and provide solid support for the connotative 

development of higher education and the improvement of scientific research and innovation capabilities. 

 

Author Profiles 

1. Luo Kaitian (1977—), male, Han nationality, born in Yibin, Sichuan. Associate Professor of Computer 

Science and Technology at Sichuan Minzu College, Master of Software Engineering, Director of the 

Network Information Center. His main research interests include complex networks and computer 

applications. 

2. He Lili (1990—), female, Qiang nationality, born in Maoxian, Sichuan. Master of Business 

Administration, Deputy Section Chief of the Asset Management Section, Department of Asset 

Management, Sichuan Minzu College. Her main research interests include asset management and 

computer informatization applications. 

3. Yang Xingbing (1980—), female, Han nationality, born in Dazhou, Sichuan. Deputy Director of the 

Asset Management Center, Sichuan Provincial Center for State-owned Assets and Educational 



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Equipment in Schools. Her main research interests include state-owned asset management and computer 

informatization applications. 

 

Fund Project 

Academic Research Project of Sichuan Provincial Accounting Association for Education (No. Chuan 

Jiao Hui〔2025〕08). Affiliation: Sichuan Minzu College. Project Title: “Research on the Shared 

Management Model of Large-Scale Instruments and Equipment in Universities”. Project Number: 

xhy202541. 

 

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