Intelligent campus operation and maintenance management platform based on data assets and construction method thereof

Abstract

The invention provides an intelligent campus operation and maintenance management platform based on data assets and a construction method thereof. An infrastructure layer of the platform realizes comprehensive perception and data acquisition of physical entities, calculates building facility control signals, and stores and delivers valuable data to support school operation and maintenance; the data layer receives a request from the display layer and carries out operations such as data processing and business logic judgment by calling a data service provided by the data layer; the application layer is used for classifying and integrating resources of the data layer and providing application services of corresponding modules for users; and the display layer displays the internal information of the system to a user in a visual mode and provides an interaction function. Big data analysis and an artificial intelligence algorithm are fully utilized, real-time collection and integration of student learning behaviors, teacher teaching feedback and school operation management data are realized, accurate teaching evaluation, learning condition diagnosis and management decision bases are provided, education and teaching quality improvement is promoted, and the teaching efficiency is improved. And optimal configuration of educational resources and deep development of personalized teaching are realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of data asset management, and in particular relates to a data asset-based smart campus operation and maintenance management platform and a construction method thereof. Background Art

[0002] In the current era of rapid development of information technology, the construction of smart campus operation and maintenance platform has played a vital role in promoting the modernization of education and intelligent management. Especially in the field of education, the widespread application of information technology has become one of the important forces to promote educational reform. Among them, the construction of smart campus, as an important direction of educational informatization, has become an indispensable part of school management. The goal of smart campus construction is to improve the management efficiency of schools, improve teaching quality, optimize the allocation of school resources, and lay a solid foundation for the sustainable development of schools through advanced technical means. In the process of building smart campuses, a large amount of data is generated and accumulated. These data cover student information, the use of teaching resources, and all aspects of administrative management. However, with the continuous expansion of data scale, data asset management has become an indispensable part of school management. Schools need to establish a unified data asset platform to effectively manage and maintain school data resources, improve the availability and value of data, and provide reliable support for school management and decision-making. Therefore, in view of the needs of data asset management in the construction of smart campuses, the research on smart campus data asset platform has important theoretical and practical significance. By establishing a unified data asset platform, data integration, sharing and application can be realized, which can improve the management level of schools and accelerate the development of education modernization.

[0003] Currently, existing smart campus operation and maintenance management platforms usually integrate multiple technologies such as the Internet of Things, big data, and cloud computing, aiming to improve the management efficiency, service quality, and intelligence level of the campus; these platforms usually have the following characteristics: real-time monitoring and early warning, data integration and analysis, and visual display. However, the existing smart campus operation and maintenance management platforms also have some defects. Due to the independent development of various departments or systems within the campus, there is a lack of unified planning and standards, which leads to the inability to effectively integrate and share data, forming data islands, which not only affects the utilization of data, but also increases the difficulty of data management. The development of the smart campus operation and maintenance platform based on data assets of the present invention is precisely the research and development conducted to solve these defects. Summary of the invention

[0004] In view of the deficiencies in the prior art, the present invention provides a smart campus operation and maintenance management platform based on data assets and a construction method thereof. The platform takes data assets as the core, and realizes effective integration and sharing of data by formulating unified data standards and management systems, breaking down data silos, and adopting advanced information security technologies to strengthen data encryption, storage and transmission protection, ensure data security and privacy, optimize the platform architecture and algorithms, and improve response speed and processing capabilities; at the same time, it focuses on the optimization of interface design and interactive experience, thereby improving user satisfaction.

[0005] The present invention achieves the above technical objectives through the following technical means.

[0006] A smart campus operation and maintenance management platform based on data assets, including an infrastructure layer, a data layer, an application layer, and a display layer; the infrastructure layer is located at the bottom, including cloud computing, cloud storage, and cloud network; the data layer is located above the infrastructure layer, responsible for receiving requests from the display layer or other external systems, and performing operations including data processing, business logic judgment, and process control by calling data services provided by the data layer. The data layer also has functions including data cleaning, conversion, analysis, and mining; the application layer is located above the data layer, and is used to classify and integrate the massive resources of the data layer, and provide users with application services of corresponding modules; the display layer is located at the top, responsible for displaying internal system information to users, and providing interactive functions to meet the diverse needs of users.

[0007] Furthermore, the infrastructure layer first utilizes detection equipment including sensors, RFID, QR codes, and cameras to achieve comprehensive perception of physical entities and collect corresponding data; the collected data includes the physical characteristics of the object, the environmental status of the object, and the monitoring of the object's behavior, and then the data is imported into the cloud storage system of the infrastructure layer; the incoming data is analyzed, and calculations are performed based on the conditions of the building facilities within the school to obtain control signals for the building facilities; the infrastructure layer also provides an external output interface to output the calculated control signal to the smart campus operation and maintenance management platform bus through the interface; finally, the information collected by sensors, RFID, QR codes, and cameras is processed and calculated, and valuable data is stored and delivered to support the school's operation and maintenance process.

[0008] Furthermore, the data layer first collects the data involved through loT sensors. The sources of the data include the data obtained at the beginning and the data of the operation and maintenance process updated regularly; then, communication is established with the database through the InfluxDB script for data asset management and application; InfluxDB in the data layer is used to store structured data, EDMS is used to store unstructured data, and Autodesk Forge integrates and shares data from various sources.

[0009] Furthermore, the application layer calls the data of the data layer and finally integrates each functional module together. With the goals of safety, efficiency, energy saving and convenience, the data in the data asset model is applied to the access control system, space management system, water and electricity management system, student attendance management system, energy efficiency management system, environmental management system, electromechanical equipment management system, and fire management system.

[0010] Furthermore, the display layer is based on each object inside the building, and the corresponding data of various types are permanently stored in the BIM operation and maintenance platform; then the BIM+loT technology is used to convert the planar display form into a three-dimensional space display method; finally, through the IBMS module in the BIM operation and maintenance platform, the information linkage between various systems is realized, providing managers with a multi-faceted monitoring and management method; the display layer includes three functions: display data, the display layer displays important data in the operation and maintenance process in the main interface, including energy consumption and environmental data, so that managers can understand the situation in time; visual display, the display layer contains a visual display model to clearly display the manager's virtual model, and also provides three-dimensional guidance for some specific functional modules, including fault management and daily inspections; modifiability, the content displayed in the main interface of the display layer is modifiable, so as to update and improve the 3D model and modify the display content module.

[0011] A method for building the above-mentioned smart campus operation and maintenance management platform based on data assets includes the following process: S1. Build a data integration platform: On campus, connect various devices to the Internet of Things through wireless sensor networks, RFID technology, and NFC technology, upload data to the data integration platform in real time, and integrate data from various sensors and devices on campus; S2. Conduct intelligent analysis on the data in the data integration platform; S3. Through the open API interface, data sharing and openness with third-party systems can be achieved.

[0012] Furthermore, the specific process of S1 is as follows: S1.1. Determine the data source, including access control system, space management system, water and electricity management system, student attendance management system, energy efficiency management system, environmental management system, electromechanical equipment management system, and fire management system; S1.2, data collection, first collect the relevant data through loT sensors, then establish communication with the database through InfluxDB scripts, and finally transmit the real-time data to the intelligent platform; S1.3, data storage and processing, object information collected by various sensor devices, information collected on the Internet is processed and calculated, and finally valuable data is stored and delivered to support the school's operation and maintenance process, and finally realize the connection, identification, control and tracking detection between physical entities and the network; S1.4. Build a data warehouse. Use data warehouse tools to build a centralized data warehouse to facilitate subsequent data analysis and mining.

[0013] Furthermore, the specific process of S2 is as follows: S2.1. Data preprocessing: use data preprocessing tools to clean, standardize and normalize the data; S2.2, data analysis, by analyzing and processing sensory data, and then by calling the data layer data, and finally integrating each functional module together, with the goal of safety, efficiency, energy saving, and convenience, the data in the data asset model is applied to the access control system, space management system, water and electricity management system, student attendance management system, energy efficiency management system, environmental management system, electromechanical equipment management system, and fire management system. The processed data is uniformly called according to various business scenarios and management needs, including access control management, space management, water and electricity management, student attendance management, energy efficiency management, environmental management, electromechanical equipment management, fire management, and system configuration services. Equipment fault diagnosis is carried out by adopting a multi-information fusion method, and a digital expert library is preset according to the type of equipment fault to guide operation and maintenance personnel to handle it; S2.3. Data visualization: Use data visualization tools to display data analysis results in the form of charts; use API gateway to integrate all microservices and provide a unified access interface to the outside world.

[0014] Furthermore, the specific process of S3 is as follows: S3.1. Define the API interface, define an open RESTful API interface, and provide data query, addition, modification and deletion functions; S3.2, develop API interface, use programming language to develop API interface; S3.3, deploy the API interface, deploy the API interface to the server to provide external services; S3.4, API interface documentation, write API interface documentation, including interface description, request parameters, response results and usage examples, to facilitate docking with third-party systems.

[0015] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the method for building a smart campus operation and maintenance management platform based on data assets.

[0016] The present invention has the following beneficial effects: The present invention proposes a method for developing a smart campus operation and maintenance platform centered on data assets, focusing on data planning, functional module design and data application, mainly including demand analysis, data asset model development, development, use, feedback and enhancement of a smart campus operation and maintenance platform centered on data assets. The demand analysis determines the goals of safety, efficiency, energy saving and convenience. The developed BIM-based data asset model needs to define data types and standards, and integrate the design of data transmission mechanism through InfluxDB. The smart campus operation and maintenance platform is based on surveillance cameras and the construction of the Internet of Things, combining BIM visualization and the intelligent perception technology of the Internet of Things with the concept of one-stop operation and maintenance management of the school. With the BIM visualization platform as the core, the school's access control system, space management system, water and electricity management system, student attendance management system, energy efficiency management system, environmental management system, electromechanical equipment management system, fire management system and other systems are fully integrated and data fused. The data of each system is integrated and shared in the BIM digital twin system, and an all-in-one centralized logistics intelligent operation and maintenance management center is established. BIM visualization technology is combined with digital twin, intelligent analysis and other technologies to establish a comprehensive logistics management system for the school, providing innovative technical means and a new management model for the comprehensive management of the school's logistics. The construction of this platform can review the school building information and establish BIM data based on it, to achieve the precision of building operation and maintenance data; it can establish a BIM+loT technology school smart operation and maintenance management platform, and establish a smart operation and maintenance management platform based on BIM+loT technology as the core, including a one-stop service center, a centralized security center, and an equipment and facility cost control center, to provide systematic support for the high-quality development of school infrastructure; apply IBMS system integration and Internet of Things technology to establish centralized monitoring of intelligent building operations, on the basis of ensuring the safe operation of equipment and facilities, to save the school's operating energy consumption as much as possible, and provide support for the school's digital upgrade.

[0017] The method for building a smart campus operation and maintenance platform based on data assets described in the present invention realizes data integration and intelligent analysis: various data on campus are integrated for intelligent analysis to provide decision support for campus managers; the method for building a smart campus operation and maintenance platform based on data assets described in the present invention realizes data sharing and openness: through an open API interface, data sharing and openness with third-party systems are realized to provide better services and resource sharing inside and outside the campus.

[0018] The unique innovation of this invention is mainly reflected in its data-driven and intelligent decision-making capabilities. The platform makes full use of big data analysis and artificial intelligence algorithms to realize the real-time collection and integration of student learning behavior, teacher teaching feedback, and school operation and management data; through these data, the platform can provide accurate teaching evaluation, learning situation diagnosis and management decision-making basis, and promote the improvement of education and teaching quality; in addition, the platform also realizes the comprehensive integration and sharing of campus resources, simplifies the operation process through a one-stop service platform, and improves the convenience of campus life; this data-centric operation and maintenance management innovation model not only improves campus management efficiency, but also helps to achieve the optimal allocation of educational resources and the in-depth development of personalized teaching. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a diagram of the data transmission mechanism of the smart campus intelligent operation and maintenance platform of the present invention; Figure 2 This is a system architecture diagram of the smart campus intelligent operation and maintenance platform of the present invention; Figure 3 This is a method for building a smart campus operation and maintenance management platform based on data assets as described in the present invention. DETAILED DESCRIPTION

[0020] The present invention is further described below in conjunction with the accompanying drawings and specific embodiments, but the protection scope of the present invention is not limited thereto.

[0021] like Figure 2 As shown, the data asset-based smart campus operation and maintenance management platform described in the present invention includes an infrastructure layer, a data layer, an application layer, and a display layer.

[0022] like Figure 2 As shown in the figure, the infrastructure layer is located at the bottom of the system, mainly including cloud computing, cloud storage, and cloud network; the data layer is located above the infrastructure layer, responsible for receiving requests from the display layer or other external systems, and performing data processing, business logic judgment, process control and other operations by calling the data services provided by the data layer. The data layer also has powerful data processing capabilities, including data cleaning, conversion, analysis, and mining. The application layer is located above the data layer, used to classify and integrate the massive resources of the data layer, and provide users with application services of corresponding modules; the display layer is located at the top, responsible for presenting the internal information of the system to users in an intuitive and easy-to-understand way, and providing rich interactive functions to meet the diverse needs of users.

[0023] The infrastructure layer first uses sensors, RFID, QR codes, cameras and other equipment to achieve comprehensive perception of physical entities and collect corresponding data; the collected data includes the physical characteristics of the object, the environmental status of the object (air temperature, humidity, wind speed), and the monitoring of the object's behavior, and then uses the sensor data interface to import the sensor data into the cloud storage system of the infrastructure layer; analyze the data transmitted by the sensor, and perform calculations based on the situation of the school's buildings and facilities, mainly calculating the control signals of the buildings and facilities; the infrastructure layer also provides an external output interface to output the calculated control signals to the smart campus operation and maintenance management platform bus through the interface; finally, the information collected by sensors, RFID, QR codes, and cameras is processed and calculated, and ultimately the valuable data is stored and delivered to support the school's operation and maintenance process.

[0024] Reference Figure 1 The data layer first collects the data involved through loT sensors. The data sources include the data obtained at the beginning and the data of the operation and maintenance process that is regularly updated. Then the platform establishes communication with the database through the InfluxDB script for data asset management and application. InfluxDB is used to store structured data, and EDMS is used to store unstructured data. Autodesk Forge integrates and shares data from various sources, and finally transmits real-time data to the intelligent platform.

[0025] The application layer analyzes and processes the sensory data, then calls the data from the data layer, and finally integrates each functional module together, with the four goals of "safety, efficiency, energy saving, and convenience". The data in the data asset model is applied to the access control system, space management system, water and electricity management system, student attendance management system, energy efficiency management system, environmental management system, electromechanical equipment management system, and fire management system.

[0026] The display layer is based on every object inside the building, and the corresponding data is permanently stored in the BIM operation and maintenance platform. Then, the BIM+IoT technology is used to convert the flat display form into a three-dimensional space display method. Based on 3D space, what you see is what you get; finally, through the IBMS module in the platform, the information linkage between various systems is realized, providing managers with a multi-faceted monitoring and management method. The display layer of the smart campus operation and maintenance management platform is designed with three main functions: (1) Display data. The display layer needs to display important data (such as energy consumption, environmental data, etc.) in the main interface so that managers can understand the situation in a timely manner. (2) Visual display. The most important part of the display layer is the visual display model. Visualization can clearly display the manager's virtual model and provide three-dimensional guidance for some specific functional modules (such as fault management, daily inspection, etc.). (3) Modifiability. The display layer should have a certain degree of flexibility. The content displayed in the main interface should be modifiable. On the one hand, the 3D model should be updated and improved, and on the other hand, the display content module should be modified to better meet user needs.

[0027] Reference Figure 3 , a method for building a smart campus operation and maintenance management platform based on data assets, including the following processes: S1. Build a data integration platform: On campus, connect various devices to the Internet of Things through wireless sensor networks, RFID technology, NFC technology, etc., upload data to the data integration platform in real time, and integrate data from various sensors and devices on campus; S1.1. Determine the data source, including access control system, space management system, water and electricity management system, student attendance management system, energy efficiency management system, environmental management system, electromechanical equipment management system, and fire management system; S1.2, data collection, first collect the relevant data through loT sensors, then establish communication with the database through InfluxDB scripts. InfluxDB is used to store structured data, EDMS is used to store unstructured data, Autodesk Forge integrates and shares data from various sources, and finally transmits real-time data to the intelligent platform; S1.3, data storage and processing, object information collected by various sensor devices such as IoT sensors, information collected on the Internet is processed and calculated, and valuable data is finally stored and delivered to support the school's operation and maintenance process, and ultimately realize the connection, identification, control and tracking detection between physical entities and the network; S1.4. Build a data warehouse. Use data warehouse tools to build a centralized data warehouse to facilitate subsequent data analysis and mining.

[0028] S2. Realize intelligent analysis: Conduct intelligent analysis on the data in the data integration platform; S2.1. Data preprocessing: use data preprocessing tools to clean, standardize and normalize the data; S2.2, data analysis, by analyzing and processing sensory data, and then calling the data of the data layer, finally integrating each functional module together, with the four goals of "safety, efficiency, energy saving, and convenience", and applying the data in the data asset model to the access control system, space management system, water and electricity management system, student attendance management system, energy efficiency management system, environmental management system, electromechanical equipment management system, and fire management system. The processed data is uniformly called according to various business scenarios and management needs, including access control management, space management, water and electricity management, student attendance management, energy efficiency management, environmental management, electromechanical equipment management, fire management, and system configuration services. Equipment fault diagnosis is carried out by adopting a multi-information fusion method, and a digital expert library is preset according to the type of equipment fault to guide operation and maintenance personnel to handle it; S2.3, data visualization, use data visualization tools to display data analysis results in the form of charts; use API gateway to integrate all microservices together and provide a unified access interface to the outside world; S3. Realize data sharing and openness: Realize data sharing and openness with third-party systems through open API interfaces; S3.1. Define the API interface, define an open RESTful API interface, and provide data query, addition, modification and deletion functions; S3.2, develop API interface, use programming language to develop API interface; S3.3, deploy the API interface, deploy the API interface to the server to provide external services; S3.4, API interface documentation, write API interface documentation, including interface description, request parameters, response results and usage examples, to facilitate docking with third-party systems.

[0029] This embodiment also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the method for building a smart campus operation and maintenance management platform based on data assets is implemented.

[0030] The embodiments are preferred implementations of the present invention, but the present invention is not limited to the above-mentioned implementations. Any obvious improvements, substitutions or modifications that can be made by those skilled in the art without departing from the essential content of the present invention belong to the protection scope of the present invention.

Claims

1. A smart campus operation and maintenance management platform based on data assets, characterized in that: It includes infrastructure layer, data layer, application layer and display layer; the infrastructure layer is at the bottom, including cloud computing, cloud storage and cloud network; the data layer is located above the infrastructure layer, responsible for receiving requests from the display layer or other external systems, and performing operations including data processing, business logic judgment and process control by calling the data services provided by the data layer. The data layer also has the functions of data cleaning, conversion, analysis and mining; the application layer is located above the data layer, and is used to classify and integrate the massive resources of the data layer, and provide users with application services of corresponding modules; the display layer is located at the top, responsible for displaying the internal information of the system to users, and providing interactive functions to meet the diverse needs of users.

2. The data asset-based smart campus operation and maintenance management platform according to claim 1 is characterized in that: The infrastructure layer first uses detection equipment including sensors, RFID, QR codes, and cameras to achieve comprehensive perception of physical entities and collect corresponding data; the collected data includes the physical characteristics of the object, the environmental status of the object, and the monitoring of the object's behavior, and then the data is imported into the cloud storage system of the infrastructure layer; the incoming data is analyzed, and calculations are performed based on the conditions of the building facilities within the school to obtain control signals for the building facilities; the infrastructure layer also provides an external output interface to output the calculated control signal to the smart campus operation and maintenance management platform bus through the interface; finally, the information collected by sensors, RFID, QR codes, and cameras is processed and calculated, and valuable data is stored and delivered to support the school's operation and maintenance process.

3. The data asset-based smart campus operation and maintenance management platform according to claim 1 is characterized in that: The data layer first collects the data involved through loT sensors. The sources of data include data obtained at the beginning and data regularly updated during the operation and maintenance process. Then, communication is established with the database through the InfluxDB script for data asset management and application. InfluxDB in the data layer is used to store structured data, EDMS is used to store unstructured data, and AutodeskForge integrates and shares data from various sources.

4. The data asset-based smart campus operation and maintenance management platform according to claim 1 is characterized in that: The application layer calls the data of the data layer and finally integrates each functional module together. With the goals of safety, efficiency, energy saving and convenience, the data in the data asset model is applied to the access control system, space management system, water and electricity management system, student attendance management system, energy efficiency management system, environmental management system, electromechanical equipment management system, and fire management system.

5. The data asset-based smart campus operation and maintenance management platform according to claim 1 is characterized in that: The display layer is based on each object inside the building, and the corresponding data of various types are permanently stored in the BIM operation and maintenance platform; then the BIM+loT technology is used to convert the planar display form into a three-dimensional space display method; finally, through the IBMS module in the BIM operation and maintenance platform, the information linkage between various systems is realized, providing managers with a multi-faceted monitoring and management method; the display layer includes three functions: display data, the display layer displays important data in the operation and maintenance process in the main interface, including energy consumption and environmental data, so that managers can understand the situation in time; visual display, the display layer contains a visual display model to clearly display the manager's virtual model, and also provides three-dimensional guidance for some specific functional modules, including fault management and daily inspections; modifiability, the content displayed in the main interface of the display layer is modifiable, so as to update and improve the 3D model and modify the display content module.

6. A method for building a smart campus operation and maintenance management platform based on data assets as described in claim 1, characterized in that: The process includes the following: S1. Build a data integration platform: On campus, various devices are connected to the Internet of Things through wireless sensor networks, RFID technology, and NFC technology, and data is uploaded to the data integration platform in real time, integrating data from various sensors and devices on campus; S2. Conduct intelligent analysis on the data in the data integration platform; S3. Through the open API interface, data sharing and openness with third-party systems can be achieved.

7. The construction method according to claim 6, characterized in that: The specific process of S1 is as follows: S1.

1. Determine the data source, including access control system, space management system, water and electricity management system, student attendance management system, energy efficiency management system, environmental management system, electromechanical equipment management system, and fire management system; S1.2, data collection, first collect the relevant data through loT sensors, then establish communication with the database through InfluxDB scripts, and finally transmit the real-time data to the intelligent platform; S1.3, data storage and processing, object information collected by various sensor devices, information collected on the Internet is processed and calculated, and finally valuable data is stored and delivered to support the school's operation and maintenance process, and finally realize the connection, identification, control and tracking detection between physical entities and the network; S1.

4. Build a data warehouse. Use data warehouse tools to build a centralized data warehouse to facilitate subsequent data analysis and mining.

8. The construction method according to claim 6, characterized in that: The specific process of S2 is as follows: S2.

1. Data preprocessing: use data preprocessing tools to clean, standardize and normalize the data; S2.2, data analysis, by analyzing and processing sensory data, and then by calling the data layer data, and finally integrating each functional module together, with the goal of safety, efficiency, energy saving, and convenience, the data in the data asset model is applied to the access control system, space management system, water and electricity management system, student attendance management system, energy efficiency management system, environmental management system, electromechanical equipment management system, and fire management system. The processed data is uniformly called according to various business scenarios and management needs, including access control management, space management, water and electricity management, student attendance management, energy efficiency management, environmental management, electromechanical equipment management, fire management, and system configuration services. Equipment fault diagnosis is carried out by adopting a multi-information fusion method, and a digital expert library is preset according to the type of equipment fault to guide operation and maintenance personnel to handle it; S2.3, data visualization, using data visualization tools to display data analysis results in the form of charts; Use API gateway to integrate all microservices and provide a unified access interface to the outside world.

9. The construction method according to claim 6, characterized in that: The specific process of S3 is as follows: S3.

1. Define the API interface, define an open RESTful API interface, and provide data query, addition, modification and deletion functions; S3.2, develop API interface, use programming language to develop API interface; S3.3, deploy the API interface, deploy the API interface to the server to provide external services; S3.4, API interface documentation, write API interface documentation, including interface description, request parameters, response results and usage examples, to facilitate docking with third-party systems.

10. A computer-readable storage medium, characterized in that: A computer program is stored, and when the computer program is executed by a processor, the method for building a smart campus operation and maintenance management platform based on data assets as described in claim 6 is implemented.

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