Intelligent campus construction logistics service management early warning system

Abstract

The invention belongs to the technical field of smart schoolyards, and particularly relates to a smart campus construction logistics service management early warning system, which comprises a data acquisition module used for acquiring various data related to campus logistics management; the data processing module is used for receiving the data transmitted by the data acquisition module, cleaning, storing, analyzing and mining the data by using a big data analysis technology, analyzing catering data, predicting dining requirements of different dishes in different time periods, and providing a basis for food material purchasing and meal preparation; dormitory electricity utilization data are analyzed, abnormal electricity utilization behaviors such as high-power electric appliance use and long-time abnormal electricity utilization are identified, and early warning is given out in time; by analyzing the operation data of the facility equipment, predicting the possibility of equipment failure, and arranging the safety management module for integration and intelligent monitoring, various potential safety hazards can be found and processed in time, safety accidents can be effectively prevented, and the life and property safety of teachers and students can be guaranteed.

Description

Technical Field

[0001] The present invention belongs to the technical field of smart campuses, and in particular relates to a smart campus construction logistics service management early warning system. Background Art

[0002] Campus logistics management is an important part of school management, covering multiple aspects, aiming to provide all-round guarantees and services for the school's teaching, scientific research, and the lives of teachers and students. The digital campus is based on digital information and networks, and is built on computer and network technology to collect, process, integrate, store, transmit and apply campus information such as teaching, scientific research, management, technical services, and life services. It is a virtual educational environment in which digital resources are fully optimized.

[0003] Currently, campus logistics management generally suffers from low levels of informatization, severe information silos between departments, and untimely resource allocation. Traditional logistics management models rely on manual record-keeping and communication. For example, equipment maintenance requests require teachers and students to manually fill out paper forms, which are then processed one by one by logistics department personnel. This is inefficient and prone to information transmission errors. Material procurement lacks accurate data support, which can easily lead to resource waste or insufficient supply. Campus security monitoring has blind spots, making it impossible to fully grasp the campus security situation in real time. With the continuous expansion of campus scale and the increasing complexity of logistics management needs, traditional management models can no longer meet the needs of modern campus management. Therefore, we propose a smart campus construction logistics service management early warning system. Summary of the Invention

[0004] The purpose of the present invention is to provide a smart campus construction logistics service management early warning system to solve the problems raised in the above background technology.

[0005] In view of this, the present invention provides a smart campus construction logistics service management early warning system, including:

[0006] Data collection module: used to collect various data related to campus logistics management;

[0007] Data processing module: Receives data transmitted by the data acquisition module and uses big data analysis technology to clean, store, analyze, and mine the data. It analyzes catering data to predict dining demand for different time periods and dishes, providing a basis for food procurement and meal preparation. It analyzes dormitory electricity usage data, identifies abnormal electricity usage behavior, such as the use of high-power appliances and prolonged abnormal electricity usage, and issues timely warnings. It predicts the possibility of equipment failure through analysis of facility and equipment operating data and formulates preventive maintenance plans. At the same time, the processed data is stored in the database for access by other modules.

[0008] User interaction module: provides an interactive interface for teachers, students and logistics management personnel, and supports multi-terminal access;

[0009] Communication interaction module: including wireless network, Bluetooth, and ZigBee, realizes data transmission and communication between various functional modules, ensures the real-time and stability of data, and supports data docking and interaction with other campus management systems, such as the academic management system and the student management system, to achieve integrated campus management;

[0010] Intelligent Scheduling Module: Based on the analysis results of the data processing module and the task requirements submitted by the user interaction module, it uses artificial intelligence algorithms to achieve intelligent scheduling of logistics resources;

[0011] Security Management Module: Integrates the campus security monitoring system, access control system, and fire protection system to achieve all-round monitoring and management of campus security. It also uses video analysis technology to identify and issue early warnings for abnormal behavior on campus.

[0012] Equipment management module: conduct full life cycle management of various logistical equipment on campus;

[0013] The alarm module will sound an alarm when an abnormal situation occurs, so that teachers and students on campus can get early warning.

[0014] In the above technical solution, further, the alarm module includes a buzzer, an audible and visual alarm, a fire alarm, an infrared alarm, and a gas alarm, which can realize all-round monitoring of campus safety and timely alarm, improve campus safety prevention capabilities, and protect the lives and property of teachers and students.

[0015] In the above technical solution, further, the equipment management module includes equipment procurement, installation and commissioning, operation and maintenance, and scrapping, recording the basic information, usage, and maintenance record data of the equipment, evaluating the performance and life of the equipment through data analysis, and formulating a scientific equipment update plan. At the same time, it works in coordination with the intelligent scheduling module to ensure the efficient implementation of equipment maintenance and management work.

[0016] In the above technical solution, the user interaction module further includes a web page and a mobile phone APP. Teachers and students can use this module to report repairs, order meals, and query dormitory information online. Logistics management personnel can receive various task notifications, view management data reports, and perform personnel scheduling and resource allocation on the interactive interface.

[0017] The user interaction module also includes an IA interaction module, which uses natural language processing technology to promptly answer teachers' and students' inquiries and questions.

[0018] In the above technical solution, further, the data acquisition module includes a temperature and humidity sensor, a weight sensor, and a passenger flow sensor, which collects food storage environment data, food remaining quantity data, and number of diners data in real time.

[0019] In the above technical solution, further, the data acquisition module also includes dormitory area access control sensors, electricity consumption monitoring sensors, and smoke sensors to obtain personnel entry and exit information, electricity consumption and fire safety data.

[0020] In the above technical solution, further, the data acquisition module also includes displacement sensors and vibration sensors, which are installed in public areas and various facilities on campus to monitor the operating status and damage of facilities and equipment.

[0021] In the above technical solution, further, the specific management method in the intelligent scheduling module includes:

[0022] In terms of facility maintenance: When a repair request is received, the intelligent scheduling module automatically assigns the most suitable maintenance personnel to handle the repair based on their current work status, skill level, and repair location;

[0023] In catering services: rationally arrange the work tasks of food delivery and processing staff based on the dining demand forecast results;

[0024] In dormitory management: In response to abnormal situations, such as fire alarms and abnormal entry and exit of personnel, security personnel and relevant staff are quickly dispatched to handle them.

[0025] In the above technical solution, further, the security management module identifies and warns of abnormal behaviors including detecting students fighting on campus and people wandering around for a long time;

[0026] Monitor the operating status of the access control system and fire protection system in real time. When an abnormal situation occurs, it will promptly issue an alarm and notify relevant personnel to handle it. The security management module also has an emergency plan management function, which can quickly activate the corresponding emergency plan and guide emergency response work when an emergency occurs.

[0027] The beneficial effects of the present invention are:

[0028] 1. The smart campus has built a logistics service management and early warning system. Through intelligent data collection, analysis, and resource scheduling, it automates and refines logistics management, reduces manual intervention, and improves work efficiency. For example, the response time for facility maintenance has been significantly shortened, from hours or even days in the traditional model to tens of minutes, allowing maintenance personnel to be dispatched for repairs.

[0029] 2. The smart campus construction logistics service management and early warning system, through the establishment of a safety management module for integrated and intelligent monitoring, can timely discover and deal with various safety hazards, effectively prevent the occurrence of safety accidents, and protect the lives and property of teachers and students. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is one of the system modules of the present invention;

[0031] Figure 2 It is the second system module of the present invention;

[0032] Figure 3 It is the third system module of the present invention; DETAILED DESCRIPTION

[0033] The following will be combined with the accompanying drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field are within the scope of protection of this application.

[0034] In the description of this application, it should be noted that the terms used herein are only for the purpose of describing specific embodiments and are not intended to limit the exemplary embodiments according to this application. For ease of description, the dimensions of the various parts shown in the drawings are not drawn according to the actual proportional relationship. Technologies, methods and equipment known to ordinary technicians in the relevant fields may not be discussed in detail, but where appropriate, the technologies, methods and equipment should be considered as part of the authorization specification. In all examples shown and discussed here, any specific values ​​should be interpreted as merely exemplary and not as limitations. Therefore, other examples of the exemplary embodiments may have different values. It should be noted that similar numbers and letters represent similar items in the following figures, so once an item is defined in one figure, it does not need to be further discussed in subsequent figures.

[0035] It should be noted that, in the present application, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising 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, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in the opposite order according to the functions involved. For example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0036] Example 1:

[0037] See also Figure 1-Figure 3 As shown, this embodiment provides a smart campus construction logistics service management and early warning system.

[0038] Including: Data acquisition module: used to collect various types of data related to campus logistics management; Data processing module: Receive data transmitted by the data acquisition module, use big data analysis technology to clean, store, analyze and mine the data, analyze catering data, predict dining needs in different time periods and for different dishes, and provide a basis for food procurement and meal preparation; Analyze dormitory electricity consumption data, identify abnormal electricity consumption behaviors, such as the use of high-power electrical appliances and long-term abnormal electricity consumption, and issue early warnings in time; Through the analysis of facility and equipment operation data, predict the possibility of equipment failure and formulate preventive maintenance plans; At the same time, the processed data is stored in the database for other modules to call; User interaction module: Provides an interactive interface for teachers, students and logistics management personnel, and supports multi-terminal access; Communication interaction module: Including wireless network, Bluetooth, Zi gBee enables data transmission and communication between functional modules, ensuring real-time and stable data. It also supports data integration and interaction with other campus management systems, such as the academic affairs management system and the student management system, achieving integrated campus management. The intelligent scheduling module utilizes artificial intelligence algorithms to intelligently dispatch logistical resources based on the analysis results of the data processing module and the task requirements submitted by the user interaction module. The security management module integrates the campus security monitoring system, access control system, and fire protection system to achieve comprehensive monitoring and management of campus security. It uses video analysis technology to identify and warn of abnormal behavior on campus. The equipment management module manages all types of logistical equipment on campus throughout their lifecycle. The alarm module issues alarms when abnormal situations occur, providing early warning to faculty and students. Through intelligent data collection, analysis, and resource scheduling, logistics management is automated and refined, reducing manual intervention and improving work efficiency. For example, the response time for facility maintenance is significantly shortened, from hours or even days in the traditional model to dispatching maintenance personnel within tens of minutes.

[0039] Example 2:

[0040] This embodiment provides a smart campus construction logistics service management and early warning system, which, in addition to the technical solutions of the above embodiments, also has the following technical features.

[0041] Among them, the alarm module includes buzzers, sound and light alarms, fire alarms, infrared alarms, and gas alarms, which can achieve all-round monitoring of campus safety and timely alarms, improve campus safety prevention capabilities, and protect the lives and property of teachers and students.

[0042] Equipment management module: includes equipment procurement, installation and commissioning, operation and maintenance, and scrapping. It records the basic information, usage, and maintenance record data of the equipment. It evaluates the performance and life of the equipment through data analysis and formulates a scientific equipment update plan. At the same time, it works in conjunction with the intelligent scheduling module to ensure the efficient maintenance and management of equipment.

[0043] Example 3:

[0044] This embodiment provides a smart campus construction logistics service management and early warning system, which, in addition to the technical solutions of the above embodiments, also has the following technical features.

[0045] The user interaction module includes a web page and a mobile app. Teachers and students can use this module to report repairs, order meals, and check dormitory information online. Logistics managers can receive various task notifications, view management data reports, and perform personnel scheduling and resource allocation on the interactive interface.

[0046] Among them, the user interaction module also includes the IA interaction module, which uses natural language processing technology to promptly answer teachers' and students' inquiries and questions.

[0047] Example 4:

[0048] This embodiment provides a smart campus construction logistics service management and early warning system, which, in addition to the technical solutions of the above embodiments, also has the following technical features.

[0049] Among them, the data acquisition module includes temperature and humidity sensors, weight sensors, and passenger flow sensors, which collect food storage environment data, food remaining data, and number of diners in real time.

[0050] Among them, the data acquisition module also includes dormitory area access control sensors, electricity consumption monitoring sensors, and smoke sensors to obtain personnel entry and exit information, electricity consumption and fire safety data.

[0051] Among them, the data acquisition module also includes displacement sensors and vibration sensors, which are installed in public areas and various facilities on campus to monitor the operating status and damage of facilities and equipment.

[0052] Example 5:

[0053] This embodiment provides a smart campus construction logistics service management and early warning system, which, in addition to the technical solutions of the above embodiments, also has the following technical features.

[0054] Among them, the specific management methods in the intelligent scheduling module include:

[0055] In terms of facility maintenance: When a repair request is received, the intelligent scheduling module automatically assigns the most suitable maintenance personnel to handle the repair based on their current work status, skill level, and repair location;

[0056] In catering services: rationally arrange the work tasks of food delivery and processing staff based on the dining demand forecast results;

[0057] In dormitory management: In response to abnormal situations, such as fire alarms and abnormal entry and exit of personnel, security personnel and relevant staff are quickly dispatched to handle them.

[0058] Example 6:

[0059] This embodiment provides a smart campus construction logistics service management and early warning system, which, in addition to the technical solutions of the above embodiments, also has the following technical features.

[0060] Among them, the security management module identifies and issues warnings for abnormal behaviors, including detecting student fights on campus and people wandering around for long periods of time;

[0061] Monitor the operating status of the access control system and fire protection system in real time. When an abnormal situation occurs, it will promptly issue an alarm and notify relevant personnel to handle it. The security management module also has an emergency plan management function, which can quickly activate the corresponding emergency plan and guide emergency response work when an emergency occurs.

[0062] During use: Through intelligent data collection, analysis, and resource scheduling, logistics management can be automated and refined, reducing manual intervention and improving work efficiency. For example, the response time for facility maintenance is significantly shortened, from hours or even days in the traditional model to arranging maintenance personnel to visit within tens of minutes;

[0063] By setting up a safety management module for integrated and intelligent monitoring, we can timely discover and deal with various safety hazards, effectively prevent the occurrence of safety accidents, and protect the lives and property of teachers and students.

[0064] The embodiments of the present application are described above in conjunction with the accompanying drawings. Unless there is a conflict, the embodiments and features in the embodiments of the present application can be combined with each other. The present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of this application, ordinary technicians in this field can also make many forms without departing from the purpose of this application and the scope of protection of the claims, all of which are within the protection of this application.

Claims

1. A smart campus construction logistics service management early warning system, characterized by ,include: Data collection module: used to collect various data related to campus logistics management; Data processing module: Receives data transmitted by the data acquisition module and uses big data analysis technology to clean, store, analyze, and mine the data. It analyzes catering data to predict dining demand for different time periods and dishes, providing a basis for food procurement and meal preparation. It analyzes dormitory electricity usage data, identifies abnormal electricity usage behavior, such as the use of high-power appliances and prolonged abnormal electricity usage, and issues timely warnings. It predicts the possibility of equipment failure through analysis of facility and equipment operating data and formulates preventive maintenance plans. At the same time, the processed data is stored in the database for access by other modules. User interaction module: provides an interactive interface for teachers, students and logistics management personnel, and supports multi-terminal access; Communication interaction module: including wireless network, Bluetooth, and ZigBee, realizes data transmission and communication between various functional modules, ensures the real-time and stability of data, and supports data docking and interaction with other campus management systems, such as the academic management system and the student management system, to achieve integrated campus management; Intelligent Scheduling Module: Based on the analysis results of the data processing module and the task requirements submitted by the user interaction module, it uses artificial intelligence algorithms to realize intelligent scheduling of logistics resources; Security Management Module: Integrates the campus security monitoring system, access control system, and fire protection system to achieve all-round monitoring and management of campus security. It also uses video analysis technology to identify and issue early warnings for abnormal behavior on campus. Equipment management module: conduct full life cycle management of various logistical equipment on campus; The alarm module will sound an alarm when an abnormal situation occurs, so that teachers and students on campus can get early warning.

2. A smart campus construction logistics service management early warning system according to claim 1, characterized in that: The alarm module includes a buzzer, an audible and visual alarm, a fire alarm, an infrared alarm, and a gas alarm, which can achieve all-round monitoring of campus safety and timely alarm, improve campus safety prevention capabilities, and protect the lives and property of teachers and students.

3. A smart campus construction logistics service management early warning system according to claim 1, characterized in that: The equipment management module includes equipment procurement, installation and commissioning, operation and maintenance, and scrapping. It records the basic information, usage, and maintenance record data of the equipment, evaluates the performance and life of the equipment through data analysis, and formulates a scientific equipment update plan. At the same time, it works in conjunction with the intelligent scheduling module to ensure the efficient implementation of equipment maintenance and management work.

4. A smart campus construction logistics service management early warning system according to claim 1, characterized in that: The user interaction module includes a web page and a mobile app. Teachers and students can use this module to report repairs, order meals, and check dormitory information online. Logistics managers can receive various task notifications, view management data reports, and perform personnel scheduling and resource allocation on the interactive interface. The user interaction module also includes an IA interaction module, which uses natural language processing technology to promptly answer teachers' and students' inquiries and questions.

5. The smart campus construction logistics service management early warning system according to claim 1 is characterized in that: The data acquisition module includes a temperature and humidity sensor, a weight sensor, and a customer flow sensor, which collects food storage environment data, food remaining data, and data on the number of diners in real time.

6. A smart campus construction logistics service management early warning system according to claim 1, characterized in that: The data acquisition module also includes dormitory area access control sensors, electricity consumption monitoring sensors, and smoke sensors to obtain personnel entry and exit information, electricity consumption and fire safety data.

7. A smart campus construction logistics service management early warning system according to claim 1, characterized in that: The data acquisition module also includes displacement sensors and vibration sensors, which are installed in public areas and various facilities on campus to monitor the operating status and damage of facilities and equipment.

8. The smart campus construction logistics service management early warning system according to claim 1 is characterized in that: The specific management method in the intelligent scheduling module includes: In terms of facility maintenance: When a repair request is received, the intelligent scheduling module automatically assigns the most suitable maintenance personnel to handle the repair based on their current work status, skill level, and repair location; In catering services: rationally arrange the work tasks of food delivery and processing staff based on the dining demand forecast results; In dormitory management: In response to abnormal situations, such as fire alarms and abnormal entry and exit of personnel, security personnel and relevant staff are quickly dispatched to handle them.

9. The smart campus construction logistics service management early warning system according to claim 1 is characterized in that: The security management module identifies and warns of abnormal behaviors, including detecting student fights and people wandering around for a long time on campus; Monitor the operating status of the access control system and fire protection system in real time. When an abnormal situation occurs, it will promptly issue an alarm and notify relevant personnel to handle it. The security management module also has an emergency plan management function, which can quickly activate the corresponding emergency plan and guide emergency response work when an emergency occurs.

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