Intelligent protection management system and method for ancient and famous trees based on Internet of Things and AI

Abstract

The invention discloses an intelligent protection management system and method for ancient and famous trees based on the Internet of Things and AI, and belongs to the technical field of ancient and famous tree protection.The system comprises a sensing layer, a transmission layer, a data layer and an application layer, and the method comprises the steps that the system is initialized, basic information of the ancient and famous trees is input, sensors are deployed, and network configuration is completed; an ancient and famous tree electronic file is established, a sensing layer sensor collects data according to a set frequency and uploads the data to a data layer through a transmission layer, after the data layer preprocesses the data, an application layer calls an AI algorithm to carry out health assessment, risk early warning and maintenance decision analysis, and a manager receives early warning information and maintenance suggestions and arranges personnel to execute maintenance operation. The maintenance record is fed back to the system, and the ancient and famous tree electronic file is updated. According to the system and the method, through multi-source data acquisition, intelligent analysis and decision making, ancient and famous tree growth environment monitoring, health state evaluation, risk early warning and precise maintenance are realized, and the efficiency and scientificity of protection management are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of protection of ancient and famous trees, and specifically to a system and method that integrates the Internet of Things, artificial intelligence and big data technologies to achieve intelligent monitoring, risk warning and precise maintenance of ancient and famous trees throughout their life cycle. Background Art

[0002] Ancient and famous trees are precious natural and cultural heritages with extremely high ecological, historical and scientific research value.

[0003] At present, there are many problems in the traditional protection and management of ancient trees and famous trees: manual inspections are inefficient and costly, making real-time monitoring difficult to achieve; the health status of ancient trees and famous trees is judged based on manual experience, which has poor accuracy; there is a lack of dynamic early warning capabilities for risks such as environmental factors and human damage; data records are scattered, making it difficult to form a systematic protection plan.

[0004] With the development of the Internet of Things and artificial intelligence technologies, an intelligent management system is urgently needed to solve the above problems. Summary of the Invention

[0005] The present invention aims to provide an intelligent protection and management system and method for ancient and famous trees based on the Internet of Things and AI. Through multi-source data collection, intelligent analysis and decision-making, it can realize the growth environment monitoring, health status assessment, risk warning and precise maintenance of ancient and famous trees, thereby improving the efficiency and scientific nature of protection and management.

[0006] Technical solution: In order to solve the above technical problems, the technical solution adopted by the present invention is as follows:

[0007] In a first aspect, the present invention provides an intelligent protection and management system for ancient and famous trees based on the Internet of Things and AI, including a perception layer, a transmission layer, a data layer, and an application layer.

[0008] Furthermore, the perception layer also includes soil temperature and humidity sensors, meteorological sensors, trunk microenvironment sensors, and video surveillance cameras. The soil temperature and humidity sensors, meteorological sensors, trunk microenvironment sensors, and video surveillance cameras are used to collect real-time growth environment data of ancient and famous trees, their own physiological data, and surrounding abnormal conditions.

[0009] Furthermore, the transmission layer uses communication technologies such as 5G and LoRa to transmit the data collected by the perception layer to the cloud server.

[0010] Furthermore, the data layer also includes a big data center for ancient trees and famous trees, which is used to clean, store and manage real-time data, historical data, basic information of ancient trees and famous trees, and maintenance records collected by storage sensors, and provide support for subsequent analysis through big data technology.

[0011] Furthermore, the application layer also includes a health status assessment module for ancient trees and famous trees, a risk warning module, a maintenance decision support module, and a management platform. Users can log in to the management platform through a mobile phone APP or a computer to view information and monitoring data on ancient trees and famous trees, and receive warning information and maintenance suggestions.

[0012] Furthermore, the ancient and famous tree health status assessment module is used to take the collected soil, meteorological, trunk microenvironment, video and other data as input, combine historical health records and data of similar ancient and famous trees, and establish an ancient and famous tree health assessment model based on a deep learning algorithm. Through the convolutional neural network (CNN) or recurrent neural network (RNN) training model, real-time assessment of the health status of ancient and famous trees such as growth potential, pests and diseases, and aging can be achieved, and health scores and risk levels can be output.

[0013] Furthermore, the risk warning module sets environmental thresholds such as extreme temperature, drought, and flooding, as well as thresholds for physiological indicators of ancient and famous trees. When the threshold is triggered by the sensor, it combines the AI ​​algorithm to analyze the data trend to determine whether there are risks such as natural disasters, outbreaks of pests and diseases, and human damage, and issues warnings to managers through text messages, APP push, etc., while marking the risk type and degree of urgency.

[0014] Furthermore, the maintenance decision support module generates personalized maintenance plans using a decision tree algorithm based on the health assessment results and risk warning information of ancient and famous trees, expert knowledge and historical maintenance data.

[0015] In the second aspect, the present invention provides an intelligent protection and management method for ancient and famous trees based on the Internet of Things and AI, comprising:

[0016] Initialize the system, enter basic information of ancient trees and famous trees, deploy sensors and complete network configuration, and establish electronic archives of ancient trees and famous trees.

[0017] Collecting and transmitting data, the perception layer sensors collect data at a set frequency and upload it to the data layer through the transmission layer.

[0018] Analyze and process data. After the data layer pre-processes the data, the application layer calls the AI ​​algorithm to perform health assessment, risk warning and maintenance decision analysis.

[0019] Decision-making and execution: managers receive early warning information and maintenance suggestions, arrange personnel to perform maintenance operations, and feed back maintenance records to the system to update the electronic archives of ancient and famous trees.

[0020] Beneficial effects: Compared with the prior art, the present invention has the following advantages:

[0021] This invention can realize real-time, all-round monitoring of the growth environment and health status of ancient trees and famous trees, improve monitoring efficiency and accuracy, and reduce the cost of manual inspections; the intelligent analysis and early warning functions based on AI algorithms can detect potential risks in advance, buy time for protection and management, and reduce damage to ancient trees and famous trees; provide personalized maintenance decision support, realize precise maintenance, improve the survival rate and growth quality of ancient trees and famous trees, and effectively protect precious natural and cultural heritage. BRIEF DESCRIPTION OF THE DRAWINGS Figure 1 This is a flow chart of the intelligent protection management system and method for ancient and famous trees based on the Internet of Things and AI.

[0022] Specific implementation methods: The present invention is further illustrated below in conjunction with the accompanying drawings and specific embodiments. This embodiment is implemented based on the technical solution of the present invention. It should be understood that these embodiments are only used to illustrate the present invention and are not used to limit the scope of the present invention.

[0023] An embodiment of the present invention provides an intelligent protection and management system for ancient and famous trees based on the Internet of Things and AI, including a perception layer, a transmission layer, a data layer, and an application layer.

[0024] The perception layer includes soil temperature and humidity sensors, meteorological sensors (temperature and humidity, light, wind speed, rainfall, etc.), trunk microenvironment sensors (internal temperature and humidity, stress), and video surveillance cameras. The sensors and video surveillance cameras collect real-time growth environment data of ancient and famous trees, their own physiological data, and surrounding abnormal conditions.

[0025] The transmission layer uses 5G, LoRa and other communication technologies to transmit the data collected by the perception layer to the cloud server. For areas with weak signals, data aggregation and long-distance transmission can be achieved through the LoRa gateway to ensure stable data upload.

[0026] The data layer uses the Ancient and Famous Trees Big Data Center to store real-time data, historical data, basic information of ancient and famous trees, maintenance records, etc. collected by sensors, and conducts big data technology cleaning, storage, and management to provide support for subsequent analysis.

[0027] The application layer also includes an ancient tree and famous tree health status assessment module, a risk warning module, a maintenance decision support module, and a management platform. Users can log in to the management platform through a mobile phone APP or a computer to view information and monitoring data of ancient trees and famous trees, receive warning information and maintenance suggestions, and at the same time, continuously collect data on ancient trees and famous trees, optimize AI algorithm models, and improve the intelligence level and decision-making accuracy of the system. Among them, the ancient and famous tree health status assessment module is used to take the collected soil, meteorological, trunk microenvironment, video and other data as input, combine historical health records and data of similar ancient and famous trees, and establish an ancient and famous tree health assessment model based on deep learning algorithms. Through the convolutional neural network (CNN) training model, it can realize real-time assessment of the health status of ancient and famous trees such as growth, pests and diseases, and aging, and output health scores and risk levels; the risk warning module sets environmental thresholds such as extreme temperature, drought, and floods and thresholds for physiological indicators of ancient and famous trees. When the threshold is triggered by the sensor, it combines the AI ​​algorithm to analyze the data trend to determine whether there are risks such as natural disasters, pest and disease outbreaks, and human damage, and sends warnings to management personnel through SMS, APP push, etc., and at the same time marks the risk type and urgency; the maintenance decision support module generates personalized maintenance plans based on the ancient and famous tree health assessment results and risk warning information based on expert knowledge and historical maintenance data using the decision tree algorithm. For drought warnings, the system recommends irrigation time and water volume, and for pest and disease risks, it recommends prevention and control agents and methods.

[0028] Based on the above embodiments, those skilled in the art can understand that the present invention also provides an intelligent protection and management method for ancient and famous trees based on the Internet of Things and AI, including:

[0029] The system was initialized, and basic information such as the age, species, and geographic location of the ancient and famous trees, as well as maintenance records, was entered to establish an electronic archive of the trees. In the selected ancient and famous tree areas, soil temperature and humidity sensors were embedded around the tree roots according to the design plan to monitor soil moisture in real time. Trunk microenvironment sensors were minimally invasively implanted to measure changes in temperature, humidity, and stress within the trunks. Meteorological sensors and video surveillance cameras were installed around the trees to capture data on meteorological and surrounding anomalies. After installation, network debugging was completed to ensure proper data transmission, and sensors were regularly calibrated and maintained to ensure data accuracy.

[0030] The perception layer collects data from sensors at a set frequency and uploads it to the data layer through the transmission layer.

[0031] After the data layer preprocesses the data, the application layer calls the AI ​​algorithm to perform health assessment, risk warning and maintenance decision analysis.

[0032] Managers receive early warning information and maintenance suggestions, arrange personnel to perform maintenance operations, and feed maintenance records back to the system to update the electronic archives of ancient and famous trees.

[0033] The above description is merely a preferred embodiment of the present invention. It should be noted that any other aspects not specifically described are considered prior art or common knowledge to those skilled in the art. Improvements and modifications may be made without departing from the principles of the present invention, and such improvements and modifications are also within the scope of protection of the present invention.

Claims

1. An intelligent protection and management system for ancient and famous trees based on the Internet of Things and AI, characterized by: It includes perception layer, transport layer, data layer and application layer.

2. The intelligent protection and management system for ancient and famous trees based on the Internet of Things and AI according to claim 1 is characterized in that: The perception layer also includes soil temperature and humidity sensors, meteorological sensors, trunk microenvironment sensors, and video surveillance cameras. The soil temperature and humidity sensors, meteorological sensors, trunk microenvironment sensors, and video surveillance cameras are used to collect growth environment data of ancient and famous trees, their own physiological data, and surrounding abnormal conditions in real time.

3. The intelligent protection and management system for ancient and famous trees based on the Internet of Things and AI according to claim 1 is characterized in that: The transmission layer uses communication technologies such as 5G and LoRa to transmit the data collected by the perception layer to the cloud server.

4. The intelligent protection and management system for ancient and famous trees based on the Internet of Things and AI according to claim 1 is characterized in that: The data layer also includes a big data center for ancient trees and famous trees, which is used to clean, store and manage real-time data, historical data, basic information of ancient trees and famous trees, and maintenance records collected by storage sensors, and provide support for subsequent analysis.

5. The intelligent protection and management system for ancient and famous trees based on the Internet of Things and AI according to claim 1 is characterized in that: The application layer also includes a health status assessment module for ancient trees and famous trees, a risk warning module, a maintenance decision support module, and a management platform. Users can log in to the management platform through a mobile phone APP or a computer to view information and monitoring data on ancient trees and famous trees, and receive warning information and maintenance suggestions.

6. The intelligent protection and management system for ancient and famous trees based on the Internet of Things and AI according to claim 5 is characterized in that: The ancient and famous tree health status assessment module is used to take the collected soil, meteorological, trunk microenvironment, video and other data as input, combine historical health records and data of similar ancient and famous trees, and establish an ancient and famous tree health assessment model based on a deep learning algorithm. Through the convolutional neural network (CNN) or recurrent neural network (RNN) training model, it can realize real-time assessment of the health status of ancient and famous trees such as growth potential, pests and diseases, and aging, and output health scores and risk levels.

7. The intelligent protection and management system for ancient and famous trees based on the Internet of Things and AI according to claim 5 is characterized in that: The risk warning module sets environmental thresholds such as extreme temperature, drought, and flooding, as well as thresholds for physiological indicators of ancient and famous trees. When the threshold is triggered by the sensor, it combines AI algorithms to analyze data trends to determine whether there are risks such as natural disasters, outbreaks of pests and diseases, and human damage, and issues warnings to managers through text messages, APP push, etc., while marking the risk type and degree of urgency.

8. The intelligent protection and management system for ancient and famous trees based on the Internet of Things and AI according to claim 5 is characterized in that: The maintenance decision support module generates personalized maintenance plans using a decision tree algorithm based on the health assessment results and risk warning information of ancient and famous trees, expert knowledge and historical maintenance data.

9. An intelligent protection and management method for ancient and famous trees based on the Internet of Things and AI, characterized by: include Initialize the system, enter basic information of ancient and famous trees, deploy sensors and complete network configuration, and establish an electronic archive of ancient and famous trees; Collect and transmit data. The sensors in the perception layer collect data at a set frequency and upload it to the data layer through the transmission layer. Analyze and process data. After the data layer pre-processes the data, the application layer calls the AI ​​algorithm to perform health assessment, risk warning, and maintenance decision analysis; Decision-making and execution: managers receive early warning information and maintenance suggestions, arrange personnel to perform maintenance operations, and feed back maintenance records to the system to update the electronic archives of ancient and famous trees.

Images