Digital intelligent campus Internet of Things system management method
By designing the management method of digital wisdom campus Internet of Things system, the problem of poor internal information circulation of the campus has been solved, and the comprehensive monitoring and management of the campus environment, energy use and safety status has been realized, and the level of refinement and personalization has been improved. Reduced management costs and enhanced the scientific and accuracy of decision -making.
Patent Information
- Application Number
- CN202411304822.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-19
- Publication Date
- 2025-01-24
AI Technical Summary
Within the campus, poor information circulation and difficulty in sharing between different departments lead to increased management costs and affecting the scientificity and accuracy of decision-making. Traditional campus management methods lack personalization and accuracy, making it difficult to meet the different needs of different users.
Design a digital wise campus IoT system management method, including system planning and design, equipment deployment and integration, data processing and analysis, business management and application, system operation and maintenance and optimization. Through the deployment of perceived equipment and embedded equipment in the campus, building the Internet of Things platform, and using big data and AI analysis technology to achieve real -time monitoring and management of campus environment, energy use and safety status.
Realized the comprehensive monitoring and management of the campus environment, energy use and safety status, improved the fineness and personalization of management, reduced management costs, enhanced the scientificity and accuracy of decision -making, and met the diversity of different users. Demand.
Smart Images

Figure CN119363808A_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of Internet of Things, and in particular to a method for managing a digital campus Internet of Things system. Background Art
[0002] The Internet of Things originated in the field of media and is the third revolution in the information technology industry. The Internet of Things refers to connecting any object to the network through information sensing devices according to agreed protocols. Objects exchange and communicate information through information dissemination media to achieve intelligent identification, positioning, tracking, supervision and other functions. It is an information carrier based on the Internet, traditional telecommunications networks, etc., which allows all ordinary physical objects that can be independently addressed to achieve interconnection and interoperability.
[0003] At present, with the continuous development of science and technology, digital campus Internet of Things systems are gradually becoming popular. However, within the campus, there may be poor information flow and sharing difficulties between different departments. The lack of information flow may increase management costs and may also affect the scientificity and accuracy of decision-making. Traditional campus management methods lack personalization and precision when providing services, and it is difficult to meet the different needs of different users. Summary of the invention
[0004] The purpose of the present invention is to provide a digital campus Internet of Things system management method to solve the problems raised in the above-mentioned background technology.
[0005] To achieve the above object, the present invention provides the following technical solution: a digital campus Internet of Things system management method, comprising the following steps:
[0006] S1. System planning and design: Form the basic framework of the system, then design the overall architecture of the system, and select appropriate hardware equipment and software technology;
[0007] S2. Equipment deployment and integration: According to the requirements of system planning and design, various sensing devices and embedded devices are deployed in key areas of the campus. At the same time, wired and wireless network communication modules are built and the Internet of Things gateway module is configured;
[0008] S3, data processing and analysis: collect various data on campus in real time through data collection unit equipment, then process the collected data, and finally use big data and AI analysis technology to mine and analyze the processed data;
[0009] S4. Business management and application: Carry out business management work based on the system's data processing and analysis results;
[0010] S5. System operation and optimization: Carry out daily operation and maintenance of the system. At the same time, regularly back up and restore the data in the system, and continuously optimize the system based on the system operation status and user feedback.
[0011] Preferably, the S1 specifies the goals and specific requirements of system construction to ensure that the system can meet the actual needs of campus management. At the same time, the overall architecture of the system is designed, including the Internet of Things platform, data collection unit, data transmission unit and application unit, and the functional modules and relationships of each unit are specified.
[0012] Preferably, in S2, it is necessary to deploy various sensors, electronic tag identifiers, cameras and other sensing devices, as well as embedded devices such as smart electricity meters and smart water meters in key areas of the campus to achieve comprehensive perception and monitoring of the campus environment.
[0013] Preferably, in S3, various data on campus are collected in real time through data collection unit equipment to provide a rich data source for the system, and the collected data are cleaned, converted and stored on the Internet of Things platform to remove invalid and erroneous data.
[0014] Preferably, the embedded device module monitors energy usage in real time, manages energy, uses technical means such as video surveillance and electronic tag recognition to conduct security monitoring and early warning of the campus, and tracks and manages fixed assets through technologies such as electronic tag recognition.
[0015] Preferably, in S5, the contents of daily operation and maintenance of the system include equipment inspection, troubleshooting and system optimization.
[0016] The present invention also provides a digital campus Internet of Things system, including an Internet of Things platform, a data collection unit, a data transmission unit and an application unit. The data collection unit includes a sensor module, an electronic tag module, a camera module and an embedded device module. The sensor module includes various types of sensors for real-time collection of environmental data within the campus. The electronic tag module is used for identity authentication and asset management, the camera module is used for video monitoring and security monitoring, and the embedded device module is used to collect energy consumption data and equipment status information.
[0017] Preferably, the Internet of Things platform includes a data processing module, a data analysis module, a business management module and a security management module. The data processing module is connected to the data analysis module, the data analysis module is connected to the business management module, and the business management module is connected to the security management module. The data processing module cleans, converts and stores the received data to ensure the accuracy and completeness of the data. The data analysis module is used to analyze the processed data and extract valuable information and patterns. The business management module provides various management services according to business needs. The security management module is responsible for security management tasks such as system security authentication, data encryption and access control.
[0018] Preferably, the data transmission unit includes a network communication module and an Internet of Things gateway module. The network communication module is connected to the Internet of Things gateway module. The network communication module is used to provide a channel for data transmission, and the Internet of Things gateway module is used for data protocol conversion, filtering, compression and encrypted transmission, etc.
[0019] Preferably, the application unit includes a smart security module, a smart logistics module, a smart book module and a smart teaching and scientific research module. The smart security module is used to integrate video surveillance, access control system and alarm linkage; the smart logistics module is used to provide energy consumption monitoring, equipment maintenance and asset management; the smart book module is used for automatic borrowing and returning, intelligent retrieval and recommendation of books; and the smart teaching and scientific research module is used to provide online teaching, resource sharing and scientific research support for teachers and students.
[0020] Compared with the prior art, the present invention has the following beneficial effects:
[0021] By setting up system planning and design, the present invention can clarify the specific goals and needs of system construction through in-depth research and demand analysis, ensure that each functional module is designed to solve practical problems in campus management, and fully consider the uniqueness and specific needs of the campus. The system can provide more personalized and customized services to meet the diverse needs of campus management. By setting up various sensors, cameras, RFID tags and other sensing devices, the system can monitor the campus environment, personnel flow, energy use, safety status and other aspects in real time and comprehensively. At the same time, the real-time monitoring function enables campus managers to detect abnormal situations in time and take countermeasures quickly to effectively prevent and deal with potential problems. By setting up data processing and analysis, the Internet of Things platform can The collected raw data can be cleaned and converted to remove invalid and erroneous data to ensure data accuracy and consistency. At the same time, big data and AI analysis technology can be used to deeply mine the processed data to discover potential patterns and trends, providing a scientific basis for decision-making. Based on the data analysis results, the system can provide intelligent decision-making support to help managers make more accurate and efficient decisions. By setting up system operation and optimization and establishing a complete daily operation and maintenance mechanism, including equipment inspection and troubleshooting, the stable operation of the system can be ensured. At the same time, the system data can be backed up and restored regularly to prevent data loss and damage. At the same time, the system can be continuously optimized and upgraded according to the system operation status and user feedback to improve system performance and user experience. BRIEF DESCRIPTION OF THE DRAWINGS
[0022] Figure 1 A flow chart of a preferred embodiment of the digital campus Internet of Things system management method provided by the present invention;
[0023] Figure 2 A schematic diagram of the structure of the digital campus Internet of Things system provided by the present invention;
[0024] Figure 3 A schematic diagram of electrical connections among the data collection unit, Internet of Things platform, data transmission unit and application unit provided by the present invention. DETAILED DESCRIPTION
[0025] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.
[0026] See also Figure 1 As shown, a digital campus Internet of Things system management method includes the following steps:
[0027] S1. System planning and design: form the basic framework of the system, then design the overall architecture of the system, and select appropriate hardware equipment and software technology; clarify the goals and specific requirements of system construction to ensure that the system can closely meet the actual needs of campus management.
[0028] S2. Equipment deployment and integration: According to the requirements of system planning and design, various sensing devices and embedded devices are deployed in key areas of the campus. At the same time, wired and wireless network communication modules are built and the Internet of Things gateway module is configured. By deploying various sensing devices and embedded devices in key areas of the campus, comprehensive perception and monitoring of the campus environment can be achieved, thereby improving the level of refined campus management.
[0029] S3. Data processing and analysis: The data collection unit collects various campus data in real time, and then processes the collected data. Finally, big data and AI analysis technology are used to mine and analyze the processed data. The data collection unit collects various campus data in real time, and the IoT platform cleans, converts and stores the data, ensuring the accuracy and completeness of the data, providing a reliable data source for subsequent analysis.
[0030] S4. Business management and application: Carry out business management work based on the system's data processing and analysis results; based on the data processing and analysis results, the system can carry out diversified business management work to meet the diverse needs of campus management.
[0031] S5. System operation and optimization: Perform daily operation and maintenance of the system. At the same time, regularly back up and restore the data in the system, and continuously optimize the system according to the system operation status and user feedback. Through daily operation and maintenance, data backup and recovery, and continuous optimization based on user feedback, the stability and reliability of the system are ensured.
[0032] S1 defines the goals and specific requirements of system construction to ensure that the system can meet the actual needs of campus management. At the same time, the overall architecture of the system is designed, including the Internet of Things platform, data collection unit, data transmission unit and application unit, and the functional modules and relationships of each unit are clarified.
[0033] In S2, it is necessary to deploy various sensors, electronic tag identifiers, cameras and other sensing devices, as well as embedded devices such as smart electricity meters and smart water meters in key areas of the campus to achieve comprehensive perception and monitoring of the campus environment.
[0034] In S3, various data on campus are collected in real time through data collection unit devices to provide a data source for the system. The Internet of Things platform cleans, converts and stores the collected data to remove invalid and erroneous data.
[0035] The embedded device module monitors energy usage in real time, manages energy, uses video surveillance, electronic tag recognition and other technical means to conduct security monitoring and early warning of the campus, and tracks and manages fixed assets through electronic tag recognition and other technologies.
[0036] In S5, the daily operation and maintenance of the system includes equipment inspection, troubleshooting and system optimization.
[0037] See also Figure 2 and Figure 3 As shown, a digital campus Internet of Things system includes an Internet of Things platform, a data collection unit, a data transmission unit and an application unit. The data collection unit includes a sensor module, an electronic tag module, a camera module and an embedded device module. The sensor module includes various types of sensors for real-time collection of environmental data within the campus. The electronic tag module is used for identity authentication and asset management, the camera module is used for video surveillance and security monitoring, and the embedded device module is used to collect energy consumption data and equipment status information.
[0038] The IoT platform includes a data processing module, a data analysis module, a business management module, and a security management module. The data processing module is connected to the data analysis module, the data analysis module is connected to the business management module, and the business management module is connected to the security management module. The data processing module cleans, converts, and stores the received data to ensure the accuracy and integrity of the data. The data analysis module is used to analyze the processed data and extract valuable information and patterns. The business management module provides various management services according to business needs. The security management module is responsible for the system's security authentication, data encryption, access control and other security management tasks. The data transmission unit realizes efficient data transmission and protocol conversion through the network communication module and the IoT gateway module, while ensuring the security and reliability of data during transmission.
[0039] The data transmission unit includes a network communication module and an IoT gateway module. The network communication module is connected to the IoT gateway module. The network communication module is used to provide a data transmission channel, and the IoT gateway module is used for data protocol conversion, filtering, compression and encryption transmission, etc. The data transmission unit realizes efficient data transmission and protocol conversion through the network communication module and the IoT gateway module, while ensuring the security and reliability of data during transmission.
[0040] The application units include smart security module, smart logistics module, smart book module and smart teaching and scientific research module. The smart security module is used to integrate video surveillance, access control system and alarm linkage. The smart logistics module is used to provide energy consumption monitoring, equipment maintenance and asset management. The smart book module is used for automatic borrowing and returning of books, intelligent retrieval and recommendation. The smart teaching and scientific research module is used to provide online teaching, resource sharing and scientific research support for teachers and students. The application units can improve the efficiency of campus management and service quality.
[0041] Working principle: When setting up the digital campus IoT system, staff first need to understand and record the specific needs of campus staff and students, then plan and design the overall system, and then use various smart sensors and IoT devices to conduct real-time monitoring and data collection of campus environment, equipment status, and personnel activities. Sensors and devices interact with the IoT platform through the network and upload the collected data to the data center. After the data center receives the data from each sensor and device, it realizes rapid data transmission and sharing through the IoT gateway. During the data transmission process, it is necessary to ensure the stability, real-time and security of data transmission to ensure that the data is not tampered with or leaked during transmission. The IoT platform screens, classifies, processes and analyzes the received data, and uses technical means such as big data analysis and artificial intelligence to analyze the data to provide support for decision-making. Based on the results of data processing and analysis, the platform layer will generate corresponding decision instructions and transmit them back to the IoT device through the network. The IoT device responds intelligently based on the received instructions.
[0042] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.
[0043] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.
Claims
1. A digital campus Internet of Things system management method, characterized in that: The following steps are involved: S1. System planning and design: Form the basic framework of the system, then design the overall architecture of the system, and select appropriate hardware equipment and software technology; S2. Equipment deployment and integration: According to the requirements of system planning and design, various sensing devices and embedded devices are deployed in key areas of the campus. At the same time, wired and wireless network communication modules are built and the Internet of Things gateway module is configured; S3, data processing and analysis: collect various data on campus in real time through data collection unit equipment, then process the collected data, and finally use big data and AI analysis technology to mine and analyze the processed data; S4. Business management and application: Carry out business management work based on the system's data processing and analysis results; S5. System operation and optimization: Carry out daily operation and maintenance of the system. At the same time, regularly back up and restore the data in the system, and continuously optimize the system based on the system operation status and user feedback.
2. A digital campus Internet of Things system management method according to claim 1, characterized in that: S1 specifies the goals and specific requirements of system construction to ensure that the system can meet the actual needs of campus management. At the same time, the overall architecture of the system is designed, including the Internet of Things platform, data collection unit, data transmission unit and application unit, and the functional modules and relationships of each unit are clarified.
3. A digital campus Internet of Things system management method according to claim 1, characterized in that: In S2, it is necessary to deploy various sensors, electronic tag identifiers, cameras and other sensing devices, as well as embedded devices such as smart electricity meters and smart water meters in key areas of the campus to achieve comprehensive perception and monitoring of the campus environment.
4. A digital campus Internet of Things system management method according to claim 1, characterized in that: In S3, various data on campus are collected in real time through data collection unit equipment to provide a data source for the system. The Internet of Things platform cleans, converts and stores the collected data to remove invalid and erroneous data.
5. A digital campus Internet of Things system management method according to claim 1, characterized in that: The embedded device module monitors energy usage in real time, manages energy, uses video surveillance, electronic tag recognition and other technical means to conduct security monitoring and early warning of the campus, and tracks and manages fixed assets through electronic tag recognition and other technologies.
6. A digital campus Internet of Things system management method according to claim 1, characterized in that: In S5, the daily operation and maintenance of the system includes equipment inspection, troubleshooting and system optimization.
7. A digital campus Internet of Things system according to any one of claims 1 to 6, characterized in that: It includes an Internet of Things platform, a data collection unit, a data transmission unit and an application unit. The data collection unit includes a sensor module, an electronic tag module, a camera module and an embedded device module. The sensor module contains various types of sensors for real-time collection of environmental data on campus. The electronic tag module is used for identity authentication and asset management, the camera module is used for video monitoring and security monitoring, and the embedded device module is used to collect energy consumption data and equipment status information.
8. The digital campus Internet of Things system according to claim 7 is characterized by: The Internet of Things platform includes a data processing module, a data analysis module, a business management module and a security management module. The data processing module is connected to the data analysis module, the data analysis module is connected to the business management module, and the business management module is connected to the security management module. The data processing module cleans, converts and stores the received data to ensure the accuracy and completeness of the data. The data analysis module is used to analyze the processed data and extract valuable information and patterns. The business management module provides various management services according to business needs. The security management module is responsible for security management tasks such as system security authentication, data encryption and access control.
9. The digital campus Internet of Things system according to claim 7, characterized in that: The data transmission unit includes a network communication module and an Internet of Things gateway module. The network communication module is connected to the Internet of Things gateway module. The network communication module is used to provide a channel for data transmission, and the Internet of Things gateway module is used for data protocol conversion, filtering, compression and encrypted transmission, etc.
10. The digital campus Internet of Things system according to claim 7, characterized in that: The application unit includes a smart security module, a smart logistics module, a smart book module and a smart teaching and scientific research module. The smart security module is used to integrate video surveillance, access control system and alarm linkage; the smart logistics module is used to provide energy consumption monitoring, equipment maintenance and asset management; the smart book module is used for automatic borrowing and returning, intelligent retrieval and recommendation of books; and the smart teaching and scientific research module is used to provide online teaching, resource sharing and scientific research support for teachers and students.