AI auxiliary decision-making intelligent scientific research platform management system and management method

Abstract

The invention discloses an AI auxiliary decision-making intelligent scientific research platform management system and management method. The system comprises three client interface front ends, a background system server side, a power management system, an intelligent sorting optimization system and a system terminal, wherein the power management system, the intelligent sorting optimization system and the system terminal are connected with the background system server side. The client interface front end obtains the input registered content and transmits the content to the background system server; after receiving the content, the background system server records and screens out reasonable target information, records the content in the background, transmits the content to the intelligent sorting optimization system, and intelligently sorts from tight to slow according to the number of demand times and demand quantity; and finally, all data are collected to a system terminal. Through the experiment management system provided by the invention, the problems of large workload, low information synchronization and management efficiency, complex approval process and tedious data submission in the existing manual technical field can be solved.

Description

Technical Field

[0001] This application relates to the technical field of intelligent education systems, and in particular, to an AI-assisted decision-making intelligent scientific research platform management system and management method. Background Art

[0002] With the continuous development of the big data era and the education field, the country attaches great importance to the improvement of higher education quality and the cultivation of innovation ability. Building an intelligent laboratory management platform has become one of the key measures for the transformation and upgrading of many universities. This trend not only responds to the urgent need of the era for efficient and accurate scientific research management, but also marks an important step for universities, especially the scientific research platform management system, to move towards intelligence and informatization.

[0003] Traditional university laboratory management platforms mostly rely on paper documents and manual operations. This model is unable to cope when faced with the increasing volume of scientific research data, complex project management requirements, and rapidly changing information environments. Its disadvantages are mainly reflected in: long and complex management processes, low efficiency; heavy manual processing tasks, prone to errors and high costs; uneven resource allocation and waste; lagging information synchronization, making it difficult to support immediate decision-making, etc. These problems seriously restrict the smooth progress of scientific research activities and the efficient transformation of scientific research results, and cannot meet the urgent needs of the current scientific research field for big data processing, efficient collaboration, and rapid response. Summary of the Invention

[0004] By providing an AI-assisted decision-making intelligent scientific research platform management system and management method in the embodiments of this application, scientific research resources can be more effectively integrated, management processes can be optimized, and scientific research efficiency and quality can be improved.

[0005] To achieve the above object, the technical solution of the embodiments of the present invention is:

[0006] In a first aspect, an AI-assisted decision-making intelligent scientific research platform management system provided by an embodiment of the present invention includes: three customer interface front-ends, a background system server, and a power management system, an intelligent sorting optimization system, and a system terminal respectively connected to the background system server; the three customer interface front-ends include: a teacher interface front-end, a student interface front-end, and an administrator interface front-end, which are respectively used for different users to log in to the system to view personal information, public service information, and project management information; the background system server is used to provide information release, appointment approval, information query, management services, and data support for the three customer interface front-ends respectively; among them, the management service is used to send an on or off command to the power management system through the management server according to the user's login information; the background system server is integrated with an AI-assisted decision-making module, which is used to analyze user behavior and experimental data, and provide accurate resource recommendations, experimental scheme optimization, and scientific research trend prediction; the power management system is connected to the background system server, and is used to receive the on and off commands sent by the management server, and control the on and off of the power supply of the meeting rooms and laboratories matching teachers and students; the system terminal includes a computer and experimental equipment and a meeting room system connected to the computer; the intelligent sorting optimization system is used to perform intelligent sorting in the background according to the needs of teachers and students, and in accordance with the urgency and / or frequency of the needs, and display it in the system server.

[0007] In some possible implementation manners, the teacher interface front-end includes a personal information module, a public service module, and a project management module; the personal information module includes functions such as information collection and maintenance, personal information maintenance, scientific research projects undertaken, annual achievement maintenance, other information, and imported paper query; the public service module includes functions such as meeting room reservation, academic conference support, instrument equipment application, rules and regulations, and relevant documents; the project management module includes functions such as self-selected topic funds, independent topics, and special fund management.

[0008] In some possible implementation manners, the student interface front-end includes a course learning management module and an experiment reservation and progress module, which are used for students to make learning plans and experiment arrangements.

[0009] In some possible implementation manners, the administrator interface front-end includes a user and permission management module, a resource allocation and scheduling module, a system monitoring and maintenance module, and a statistical analysis and reporting module; the user and permission management module is used to create, edit, delete user accounts, and allocate corresponding permissions; the resource allocation and scheduling module is used to manage the allocation and scheduling of resources such as laboratories, meeting rooms, and instrument equipment; the system monitoring and maintenance module is used to monitor the system running status, handle system exceptions, and perform data backup and recovery; the statistical analysis and reporting module is used to generate various statistical reports, analyze scientific research data, and generate management reports.

[0010] In some possible implementations, the system also integrates the following functional modules to enhance intelligence and user experience: an AI-assisted decision-making module, integrated into the background system server, for analyzing user behavior and experimental data, providing accurate resource recommendations, experimental scheme optimization, and scientific research trend prediction; a data encryption and storage module, applied to the data transmission and storage processes in the system to ensure the security of sensitive information such as user information and experimental data; a remote experiment control module, for supporting different users to view their corresponding experiment status and adjust experiment parameters in real time through remote terminals, realizing remote experiment control; a real-time monitoring and early warning system module, integrated into the system terminal and the background system server, for real-time monitoring of the laboratory environment and the status of experimental equipment, and triggering an early warning mechanism according to preset early warning rules.

[0011] In a second aspect, an embodiment of the present invention provides an AI-assisted decision-making intelligent scientific research platform management method for implementing an AI-assisted decision-making intelligent scientific research platform management system provided in the first aspect. The method includes: a user logs in to the system through a corresponding client front-end and sends a request to the background system server; the intelligent sorting and optimization system automatically sorts the user request according to the user's needs and feeds it back to the system server; the background system server receives the user request and sequentially processes relevant information, including information release, reservation approval, information query, and management services; the power management system controls the on / off of the power supply of the corresponding meeting rooms and laboratories according to the instructions of the background system server; the system terminal responds to the experimental needs of teachers and students and provides support for experimental equipment and the meeting room system.

[0012] One or more technical solutions provided in the embodiments of the present invention have at least the following technical effects or advantages:

[0013] The AI-assisted decision-making intelligent scientific research platform management system in the embodiments of the present invention includes three client front-ends, a background system server, and a power management system, an intelligent sorting and optimization system, and a system terminal that are respectively connected to the background system server; the client front-end obtains the input registered content and transmits the content to the background system server; after receiving the content, the background system server records and screens out reasonable target information, records it in the background record content, and transmits it to the intelligent sorting and optimization system, and sorts it from tight to loose according to the number of demand times and the demand quantity; finally, all data is collected to the system terminal; at the same time, during the process of platform management, the AI-assisted decision-making module is used to analyze user behavior and experimental data, providing accurate resource recommendations, experimental scheme optimization, and scientific research trend prediction. Through the experimental management system in this application, the problems of large workload, slow information synchronization, low management efficiency, complex approval processes, and cumbersome submission of materials in the existing manual technology field can be solved. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] To more clearly illustrate the embodiments of the present invention, the accompanying drawings required for use in the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other accompanying drawings can also be obtained based on these drawings.

[0015] Figure 1 It is a schematic structural diagram of an intelligent scientific research platform management system provided for the embodiments of the present invention;

[0016] Figure 2 It is a schematic diagram of the function interface of the personal information module in the embodiments of the present invention;

[0017] Figure 3 It is a schematic diagram of the function interface of the public service module in the intelligent scientific research platform management system in the embodiments of the present invention;

[0018] Figure 4 It is a schematic flowchart of the implementation process of an intelligent scientific research platform management method in the embodiments of the present invention;

[0019] Figure 5 It is a schematic diagram of the login interface of the customer front-end in the embodiments of the present invention. Detailed implementation manners

[0020] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are some, but not all, of the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present application.

[0021] In the relevant descriptions of this embodiment, terms such as "include, contain, have" are all open terms, generally preferably understood as including but not limited to; the term "at least one" is generally preferably understood as one or more, where "a plurality" means two or more; the term "at least one (item)" or its similar expression refers to any combination of these items, including any combination of single item (item) or plural items (items). For example, "at least one (item) of a, b or c", or, "at least one (item) of a, b and c" can all represent: a, b, c, a-b (that is, a and b), a-c, b-c, or a-b-c, where a, b, c can be single or multiple respectively; the symbol "A / B" is used to describe the selection relationship of associated objects, generally representing an "or" relationship before and after.

[0022] In the following description of this embodiment, the terms used in the embodiments of this application are for the purpose of describing specific embodiments only and are not intended to limit this application. The singular forms "a" and "the" used in the embodiments of this application and the appended claims are also intended to include the plural forms unless the context clearly dictates otherwise.

[0023] Those skilled in the art should understand that in the following description of the embodiments of this application, the sequence numbers do not imply the order of execution, and some or all of the steps can be executed in parallel or sequentially. The execution order of each process should be determined by its function and internal logic and should not constitute any limitation to the implementation process of the embodiments of this application.

[0024] Those skilled in the art should understand that the numerical ranges in the embodiments of this application should be understood to specifically disclose each intermediate value between the upper and lower limits of the range. Each intermediate value within any stated value or stated range, as well as each smaller range between any other stated value or intermediate value within the range, is also included in the present invention. The upper and lower limits of these smaller ranges can be independently included or excluded from the range.

[0025] Unless otherwise specified, the technical / scientific terms used herein have the same meaning as commonly understood by those of ordinary skill in the art to which this application belongs. Although this application only describes preferred methods and materials, any methods and materials similar or equivalent to those described herein can also be used in the implementation or testing of this application. All documents mentioned in this specification are incorporated by reference to disclose and describe the methods and / or materials related to the documents. In case of conflict with any incorporated document, the content of this specification shall prevail.

[0026] In order to illustrate the technical solution of the present invention, specific embodiments will be used for illustration below.

[0027] In this era of data explosion, the education field is experiencing unprecedented changes. Among them, the wide application of big data technology has injected new vitality into the innovative development of higher education. With the country's high emphasis on improving the quality of higher education and cultivating innovation capabilities, building an intelligent laboratory management platform has become one of the key measures for the transformation and upgrading of many universities. This trend not only responds to the urgent need of the era for efficient and accurate scientific research management but also marks an important step forward for the university management system towards intelligence and informatization.

[0028] Traditional university laboratory management platforms mostly rely on paper documents and manual operations. This model proves inadequate when faced with the increasing volume of scientific research data, complex project management requirements, and rapidly changing information environments. Its drawbacks are mainly reflected in: long and complex management processes with low efficiency; heavy manual processing tasks, prone to errors and high costs; uneven resource allocation and waste; lagging information synchronization, making it difficult to support immediate decision-making, etc. These problems severely restrict the smooth progress of scientific research activities and the efficient transformation of scientific research achievements, and cannot meet the urgent needs of the current scientific research field for big data processing, efficient collaboration, and rapid response.

[0029] Therefore, the development of a professional, intelligent, and data-driven scientific research management platform has become an important part of the intelligent reform of the university system. This platform aims to achieve the full life cycle management of scientific research projects through the integration of advanced information technology, data analysis, and mining technologies, including the automation and intelligent processing of various links such as project application, progress tracking, resource allocation, and result evaluation. At the same time, the platform can also provide real-time data analysis and visual display functions to help managers quickly grasp the scientific research dynamics, accurately identify potential problems, and thus make more scientific and reasonable decisions.

[0030] In summary, the construction of an intelligent scientific research management platform is not only an inevitable choice for universities to meet the challenges of the big data era and improve scientific research management levels, but also an important way to promote the connotative development of higher education and cultivate innovative talents. Through the implementation of this platform, universities will be able to more effectively integrate scientific research resources, optimize management processes, improve scientific research efficiency and quality, and contribute more to the country's scientific and technological progress and social development.

[0031] Based on this, the embodiments of the present invention provide an AI-assisted decision-making intelligent scientific research platform management system and management method, which can more effectively integrate scientific research resources, optimize management processes, and improve scientific research efficiency and quality.

[0032] Figure 1 For the structural schematic diagram of an AI-assisted decision-making intelligent scientific research platform management system provided by the embodiments of the present invention, see Figure 1 As shown, the system may include: three client front-ends 11, a background system server 12, and a power management system 13, an intelligent sorting and optimization system 14, and a system terminal 15 that are respectively connected to the background system server 12;

[0033] In some embodiments, the three client front-ends 11 may include: a teacher front-end, a student front-end, and an administrator front-end, which are respectively used for different users to log in to the system to view personal information, public service information, and project management information;

[0034] The back-end system server 12 is used to provide publishing information, appointment approval, information query, management services, and data support for three client front-ends 11 respectively; among them, the management service is used to send on or off instructions to the power management system 13 through the management server according to the user's login information; the back-end system server 12 is integrated with an AI-assisted decision-making module 121, which is used to analyze user behavior and experimental data, and provide accurate resource recommendations, experimental scheme optimization, and scientific research trend prediction;

[0035] The power management system 13 is connected to the back-end system server 12 and is used to receive the on and off instructions sent by the management server to control the on and off of the power supply of the meeting rooms and laboratories matching teachers and students;

[0036] The system terminal 14 includes a computer and experimental equipment and a meeting room system connected to the computer;

[0037] The intelligent sorting optimization system 15 is used to perform intelligent sorting in the background according to the needs of teachers and students and according to the urgency and / or frequency of the needs, and display it in the server of the system.

[0038] In some embodiments, taking the teacher front-end as an example, the teacher front-end may include a personal information module, a public service module, and a project management module;

[0039] Exemplarily, taking the personal information module as an example, Figure 2 is a schematic diagram of the function interface of the personal information module in the embodiments of the present invention. See Figure 2 As shown, the personal information module includes functions such as information collection and maintenance, personal information maintenance, scientific research projects undertaken, annual achievement maintenance, other information, and imported paper query. For example Figure 2 As shown in, the information collection and maintenance aspect includes annual information archiving (such as information collection in 2020, information collection in 2021, information collection in 2022, information collection in 2023).

[0040] In some embodiments, in terms of personal information maintenance, the system can also provide teachers with comprehensive and detailed data management functions. Each function can be visually presented in the corresponding customer interface front-end through different function interfaces respectively. For example, the update and maintenance of personal basic information, such as name, contact information, etc.; at the same time, teachers can also record and display in detail their main research fields, various talent plans they participated in, national major science and technology plans they undertook, and talent funding received at the national / provincial / municipal levels. In addition, teachers' academic positions, such as serving in academic organizations and being editorial board members of academic journals, can also be recorded uniformly here. For scientific research projects, the personal information module can support teachers to classify and manage different levels of scientific research projects, such as national projects, international cooperation projects, provincial and ministerial projects, and horizontal projects, facilitating the viewing and updating of project status at any time. In terms of annual achievement maintenance, teachers can systematically record and maintain key achievement information, including various awards and honors, publication of journal papers, books and monographs edited or participated in, domestic patent authorizations and international patent applications (such as new drug certificates, software copyrights, standards and specifications, medical devices, etc.), development and application of new products / new devices / new processes / new technologies, transformation effectiveness of technological achievements, development and modification of laboratory instruments and equipment, etc. In addition, important evaluations of teachers' work at home and abroad, other important achievements and performance contributions are also fully presented here.

[0041] In addition to the above core information, the personal information module can also take into account teachers' achievements in academic exchanges, teaching and training, etc., such as invited reports at large-scale academic conferences, domestic and international academic conferences hosted, overseas visiting lectures or further study experiences, and postgraduate training situations, etc.

[0042] Finally, to improve the convenience of paper management, this module can also provide an imported paper query function, supporting teachers to quickly retrieve and manage their scientific research achievements.

[0043] Exemplarily, taking the actual usage scenario as an example, in daily use, teachers may need to view or modify their detailed personal information. For example, when a teacher is promoted in title, they need to update the title information; or when a teacher's personal profile changes, they can edit and save it through this module. This immediate information maintenance function helps schools or research institutions quickly obtain the latest status of teachers, facilitating management and communication. In addition, to simplify the paper management process, teachers can batch import the information of published papers into the system through the paper import and query function using a specific format or interface. After that, both teachers themselves and school administrators can quickly query relevant paper information through various methods such as keywords, authors, publication time, etc., greatly improving work efficiency and information accessibility.

[0044] In some embodiments, the public service module and the project management module at the front end of the teacher interface may have a structure of the same type as the personal information module. Among them, the public service module may include functions such as meeting room reservation, academic conference support, instrument and equipment application, rules and regulations, and related documents; the project management module may include functions for self-selected topic funds, independent research topics, and special fund management.

[0045] Exemplarily, Figure 3 FIG. 5 is a schematic diagram of the function interface of the public service module in the AI-assisted decision-making intelligent scientific research platform management system according to an embodiment of the present invention. For example, the public service module is used to improve the work efficiency and convenience of teachers and integrates a variety of practical service functions. First, the meeting room reservation function allows teachers to reserve meeting rooms in advance according to actual needs to ensure the smooth progress of meetings; the academic conference support provides one-stop meeting preparation and information services to help teachers successfully hold or participate in various academic conferences; the instrument and equipment application process is simplified, enabling teachers to conveniently apply for the required experimental equipment to support the smooth progress of scientific research experiments; in addition, the online viewing function of rules and regulations and related documents can ensure that teachers timely understand and comply with school policies and scientific research norms.

[0046] In addition, the project management module is used for the management and planning of teachers' scientific research projects and provides strong support for teachers' scientific research work. Among them, the self-selected topic fund management function helps teachers independently plan and apply for research topics, stimulating the vitality of scientific research innovation; the independent research topic management provides comprehensive project tracking and management services for scientific research projects initiated by teachers individually or in teams; while the special fund management focuses on key projects in specific fields or directions and promotes the in-depth development of scientific research work through special support. These functions together constitute the core of the teacher project management module, helping teachers efficiently and orderly promote scientific research work.

[0047] Similarly, based on a similar structure, in some other embodiments, the front end of the student interface may include a course learning management module and an experiment reservation and progress module.

[0048] The course learning management module is used for students to view course information, download learning materials, submit homework, and view homework feedback; this module is not only a portal for students to obtain course knowledge but also an important platform for teacher-student interaction. In addition to the basic functions of viewing course information and downloading learning materials, students can also submit homework in a timely manner and view homework feedback online. This instant feedback mechanism helps students quickly correct mistakes and deepen their understanding.

[0049] The experiment reservation and progress module is used for students to reserve laboratories, view experiment arrangements, submit experiment reports, and track experiment progress; for example, students can reserve laboratories according to their learning plans, avoiding the trouble of queuing. At the same time, the function of viewing experiment arrangements allows students to understand the experiment content in advance and make full preparations.

[0050] In some other embodiments, the administrator interface front-end includes a user and permission management module, a resource allocation and scheduling module, a system monitoring and maintenance module, and a statistical analysis and reporting module.

[0051] The user and permission management module is used to create, edit, delete user accounts and assign corresponding permissions; this module is an important guarantee for the system security. The administrator can easily create new user accounts, edit their basic information according to user roles (such as teachers, students, new administrators, etc.), and delete the accounts that are no longer needed when necessary. In addition, the administrator can accurately assign permissions to each user to ensure that sensitive data and functions are only open to authorized users, maintaining the security order of the system.

[0052] The resource allocation and scheduling module is used to manage the allocation and scheduling of resources such as laboratories, meeting rooms, instruments and equipment, etc.; as the core of resource management, this module makes the allocation and scheduling of key resources such as laboratories, meeting rooms, instruments and equipment efficient and orderly. The administrator can view the usage status of resources in real time, make reasonable allocations according to user needs and priorities, and avoid resource idleness or conflicts. In addition, through an automated scheduling system, the resource utilization rate can be further improved to meet the scientific research and teaching needs of teachers and students.

[0053] The system monitoring and maintenance module is used to monitor the system running status, handle system exceptions, and perform data backup and recovery; the administrator can monitor the running status of the system in real time, including key indicators such as server load, network status, and database performance. Once an anomaly or potential problem is found, the administrator can respond quickly and take corresponding measures to handle it to ensure that the system returns to normal as soon as possible.

[0054] The statistical analysis and reporting module is used to generate various statistical reports, analyze scientific research data, and generate management reports. The administrator can use this module to generate various statistical reports, such as user activity, resource usage, system performance analysis, etc., to comprehensively understand the running status of the system and user behavior. Through in-depth analysis of scientific research data, the administrator can also discover valuable scientific research trends and laws, providing strong references for the scientific research planning and development of the school.

[0055] In some embodiments, during the process of platform management through the above management system, based on different user data generated by different user behaviors and experimental data during the experiment, the above AI-assisted decision-making module can be used to profile users, analyze user behaviors and experimental data, and provide accurate resource recommendations, experimental scheme optimization, and scientific research trend prediction;

[0056] It should be noted that the core function of the AI-assisted decision-making module lies in deeply mining and analyzing user behavior data and experimental data, so as to provide highly personalized support and services for users. Specifically, the realization of intelligence through the AI-assisted decision-making module can include the following steps:

[0057] Data collection and preprocessing: First of all, this module will automatically collect data from all corners of the system, including user behavior logs, experimental records, literature citations, etc. These data are strictly cleaned and preprocessed to ensure the accuracy and consistency of information.

[0058] User behavior analysis: Using existing mature machine learning algorithms to deeply analyze user behavior, identify users' scientific research interests, preferences and habits, the system can provide resource recommendations and services that are more in line with their needs.

[0059] Experimental data analysis: For experimental data, data mining and statistical analysis techniques are used to reveal the hidden laws and trends behind the data. By predicting experimental results and evaluating the feasibility of experimental schemes.

[0060] Scientific research trend prediction: Based on a large amount of scientific research data and domain knowledge graphs, predict the future development directions and hotspots in the scientific research field.

[0061] Intelligent decision-making support: Combining the above analysis results, the AI-assisted decision-making module provides intelligent decision-making support for system administrators and ordinary users. In terms of resource allocation, project management, risk assessment, etc., the module can give scientific and reasonable suggestions to improve the overall scientific research management efficiency and level.

[0062] In the embodiments of the present invention, there are three customer front-ends, a background system server, a power management system, an intelligent sorting optimization system and a system terminal respectively connected to the background system server; the customer front-end obtains the input registered content and transmits the content to the background system server; after receiving the content, the background system server records and screens out reasonable target information, records it in the background record content and transmits it to the intelligent sorting optimization system, and sorts it from tight to loose according to the demand times and quantities; finally, all data is collected into the system terminal; through the experimental management system in this application, the problems of large workload, low information synchronization and management efficiency, complex approval process and cumbersome submission of materials in the existing manual technology field can be solved.

[0063] In some embodiments, in order to further improve the intelligence of the AI-assisted decision-making intelligent scientific research platform management system provided by the embodiments of the present invention, in addition to the above functional modules, the system may further include:

[0064] The data encryption and storage module is applied to the data transmission and storage processes in the system to ensure the security of sensitive information such as user information and experimental data. For example, it can encrypt user identity information, experimental data, research results, etc., to ensure that they are not illegally intercepted or tampered with during data transmission. At the same time, it uses efficient data storage technology to ensure the secure storage of data on the server, preventing data leakage or loss, and creating a reassuring research environment for scientific researchers.

[0065] The remote experiment control module is used to support different users to view their corresponding experiment status and adjust experiment parameters in real time through remote terminals, realizing remote experiment control.

[0066] The real-time monitoring and early warning system module is integrated into the system terminal and the background system server, and is used to monitor the laboratory environment and the status of experimental equipment in real time, and trigger the early warning mechanism according to the preset early warning rules. For example, it can continuously monitor the laboratory environment (such as temperature, humidity, light, etc.) and the status of experimental equipment for 24 hours. Once abnormal conditions are detected or the preset early warning threshold is reached, the system will immediately trigger the early warning mechanism and send alerts to relevant personnel through multiple methods such as text messages, emails, and system notifications, so that measures can be taken in time for handling. This module effectively reduces experimental risks and ensures the safe operation of the laboratory and the accuracy of experimental data.

[0067] In the embodiments of the present invention, an intelligent scientific research platform management system that integrates one or more of the above data encryption and storage, remote experiment control, and real-time monitoring and early warning systems can improve the intelligence of scientific research decision-making, enhance data security protection, improve the flexibility and efficiency of experiments, ensure the safe operation of the laboratory, and create an efficient, convenient, and safe research environment for scientific researchers.

[0068] Based on the same inventive concept, the embodiments of the present application also provide an AI-assisted decision-making intelligent scientific research platform management method for implementing the AI-assisted decision-making intelligent scientific research platform management system provided in the first aspect. Figure 4 It is a schematic flowchart of the embodiment of an AI-assisted decision-making intelligent scientific research platform management method in the embodiments of the present invention. See Figure 4 As shown, the method may include:

[0069] S401, the user logs in to the system through the corresponding client front-end and sends a request to the background system server.

[0070] Specifically, users (including teachers, students, and administrators) pass through a customized client front-end, such as Figure 5 As shown, Figure 5This is a schematic diagram of the login interface of the customer front-end in the embodiments of the present invention. Users securely log in to the system using their personal accounts and passwords. After logging in, users can send specific requests to the background system server according to their own needs, such as viewing course information, reserving laboratories, submitting assignments, or applying for meeting rooms. This step ensures the authenticity of the user's identity and the legality of the requests.

[0071] S402. The intelligent sorting and optimization system automatically sorts the user requests according to the user needs and feeds them back to the system server. For example, after receiving the user requests, the intelligent sorting and optimization system will immediately perform intelligent sorting on the requests according to factors such as the current system load, resource availability, and user priority.

[0072] Through the above step S402, the system resource allocation can be optimized, the user waiting time can be reduced, and the service response speed can be improved. After the sorting is completed, the system timely feeds the sorting results back to the background system server for subsequent processing.

[0073] S403. The background system server receives the user requests and sequentially processes the relevant information, including information release (such as course announcements, experiment notifications, etc.), reservation approval (such as the review of laboratory and meeting room reservation applications), information query (such as grades, experiment progress, etc.), and management services (such as user permission adjustment, resource allocation adjustment, etc.);

[0074] S404. The power management system controls the on / off of the power supply of the corresponding meeting rooms and laboratories according to the instructions of the background system server;

[0075] S405. The system terminal responds to the experimental needs of teachers and students and provides support for the experimental equipment and meeting room system. Specifically, it includes remote reservation of equipment, status monitoring, fault repair, and configuration and debugging of the meeting room system. By responding to the experimental needs of teachers and students in real time, the system ensures the smooth progress of experimental activities and improves the utilization rate of experimental equipment and the success rate of experiments at the same time.

[0076] In some embodiments, during the process of platform management, the AI-assisted decision-making module can be used to analyze user behaviors and experimental data to provide accurate resource recommendations, experimental scheme optimization, and scientific research trend prediction.

[0077] The various embodiments in this specification are described in a progressive manner. For the same or similar parts between the various embodiments, reference can be made to each other. The key points of each embodiment are the differences from other embodiments.

[0078] The above embodiments are only used to illustrate the technical solutions of the present application, rather than limiting the present application; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the present application.

Claims

1. An AI-assisted decision-making intelligent scientific research platform management system, characterized in that: include: Three customer interface front ends, a backend system server, and a power management system, an intelligent sorting optimization system and a system terminal respectively connected to the backend system server; The three client interface front ends include: a teacher interface front end, a student interface front end and an administrator interface front end, which are used for different users to log in to the system to view personal information, public service information and project management information; The backend system server is used to provide information release, reservation approval, query information, management services and data support for the three client interface front ends respectively; wherein, the management service is used to send an opening or closing instruction to the power management system through the management server according to the user's login information; the backend system server is integrated with an AI-assisted decision-making module for analyzing user behavior and experimental data, and providing accurate resource recommendations, experimental scheme optimization and scientific research trend prediction; The power management system is connected to the backend system server, and is used to receive the on and off instructions sent by the management server, and control the on and off of the power supply of the conference room and laboratory matched with teachers and students; The system terminal includes a computer and experimental equipment and a conference room system connected to the computer; The intelligent sorting optimization system is used to perform intelligent sorting in the background according to the needs of teachers and students and according to the urgency of the needs and / or the number of needs, and display them in the system server.

2. The AI-assisted decision-making intelligent scientific research platform management system according to claim 1 is characterized in that: The teacher interface front end includes a personal information module, a public service module and a project management module; The personal information module includes information collection and maintenance, personal information maintenance, scientific research projects undertaken, annual achievement maintenance, other information and imported paper query functions; The public service module includes conference room reservation, academic conference support, equipment application, rules and regulations and related documents functions; The project management module includes the management functions of self-selected subject funds, independent subjects and special funds.

3. The AI-assisted decision-making intelligent scientific research platform management system according to claim 2 is characterized in that: The student interface front end includes a course learning management module and an experiment reservation and progress module, which are used for students to make learning plans and experiment arrangements.

4. The AI-assisted decision-making intelligent scientific research platform management system according to claim 3 is characterized in that: The administrator interface front end includes a user and authority management module, a resource allocation and scheduling module, a system monitoring and maintenance module, and a statistical analysis and reporting module; The user and authority management module is used to create, edit, delete user accounts and assign corresponding authorities; The resource allocation and scheduling module is used to manage the allocation and scheduling of resources such as laboratories, conference rooms, and instruments and equipment; The system monitoring and maintenance module is used to monitor the system operation status, handle system abnormalities, and perform data backup and recovery; The statistical analysis and reporting module is used to generate various statistical reports, analyze scientific research data, and generate management reports.

5. The AI-assisted decision-making intelligent scientific research platform management system according to any one of claims 1 to 4, characterized in that: The system also integrates the following functional modules to enhance intelligence and user experience: Data encryption and storage module, which is applied to the data transmission and storage process in the system to ensure the security of sensitive information such as user information and experimental data; Remote experiment control module, used to support different users to view their corresponding experiment status and adjust experiment parameters in real time through remote terminals, thus realizing remote experiment control; The real-time monitoring and early warning system module is integrated in the system terminal and the background system server, and is used to monitor the laboratory environment and the status of experimental equipment in real time, and trigger the early warning mechanism according to the preset early warning rules.

6. An AI-assisted decision-making intelligent scientific research platform management method, the method is applied to the intelligent scientific research platform management system according to any one of claims 1 to 5, characterized in that: include: The user logs into the system through the corresponding client interface front end and sends a request to the backend system server; The intelligent sorting optimization system automatically sorts user requests according to user needs and feeds back to the system server; The backend system server receives user requests and processes relevant information in sequence, including information release, appointment approval, information query and management services; The power management system controls the power on and off of the corresponding conference rooms and laboratories according to the instructions of the backend system server; The system terminals respond to the experimental needs of teachers and students and provide support for experimental equipment and conference room systems.

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