An urban greening management system based on the Internet of Things

Abstract

The invention discloses an urban greening management system based on the Internet of Things, and relates to the technical field of greening management. The invention comprises a data acquisition unit, a data processing unit and a user management unit; the data processing unit comprises a sensor array, a lighting device and a LoRa communication module; the sensor array comprises a soil moisture sensor, a leaf moisture sensor, a meteorological sensor, a leaf temperature sensor and a disease and insect pest sensor; the lighting device comprises a GPS, a camera and a speaker; the sensor array, the GPS and the camera are all electrically connected to the LoRa communication module. The invention realizes real-time monitoring and management of urban greening through the Internet of Things technology, greatly improves management efficiency, and the system can automatically collect, process and analyze various data, provide managers with accurate decision-making basis, and reduce the workload of manual inspection and manual recording.

Description

Technical Field

[0001] The present invention belongs to the technical field of greening management, and in particular relates to an urban greening management system based on the Internet of Things. Background Art

[0002] With the acceleration of urbanization, urban greening has received more and more attention as an important means to improve the urban ecological environment and enhance the quality of life of urban residents. The traditional urban greening management method often relies on manual inspections and regular maintenance. This method is not only inefficient, but also difficult to grasp the health status and environmental changes of greening areas in real time, resulting in blind spots and lags in greening management. In addition, the timely discovery and treatment of pests and diseases is also a difficult problem in urban greening management, which requires professional personnel to identify them on site, which is time-consuming and labor-intensive and easy to miss the best time for treatment. Therefore, we propose an urban greening management system based on the Internet of Things, which is of great significance to improving the level of urban greening management and protecting the urban ecological environment. Summary of the invention

[0003] The purpose of the present invention is to provide an urban greening management system based on the Internet of Things. Through the Internet of Things technology, real-time monitoring and management of urban greening are realized, and management efficiency is greatly improved. The system can automatically collect, process and analyze various data, provide managers with accurate decision-making basis, and reduce the workload of manual inspections and manual records. This automated management method not only improves work efficiency, but also reduces the possibility of human errors, and solves the problem that the existing urban greening management method often relies on manual inspections and regular maintenance. This method is not only inefficient, but also difficult to grasp the health status and environmental changes of greening areas in real time, resulting in blind spots and lags in greening management.

[0004] To solve the above technical problems, the present invention is achieved through the following technical solutions:

[0005] The present invention is an urban greening management system based on the Internet of Things, comprising a data acquisition unit, a data processing unit and a user management unit;

[0006] The data processing unit includes a sensor array, a lighting device and a LoRa communication module; the sensor array includes a soil moisture sensor, a leaf moisture sensor, a meteorological sensor, a leaf temperature sensor and a pest sensor; the lighting device includes a GPS, a camera and a speaker; the sensor array, the GPS and the camera are all electrically connected to the LoRa communication module;

[0007] The soil moisture sensor is responsible for sensing the change of moisture in the soil and converting it into a readable electrical signal. The leaf moisture sensor is a resistive leaf surface moisture sensor, which is responsible for passing current through the leaf surface using two electrodes. Since water is a good conductor, when the moisture content on the leaf surface increases, the impedance of the current will also decrease accordingly, resulting in a change in the resistance value. By measuring the resistance change of the resistor, the moisture content on the leaf surface can be determined; the meteorological sensor is responsible for monitoring and recording various meteorological elements, providing real-time and accurate meteorological data, and automatically collecting meteorological data around the clock without human intervention to ensure the continuity and real-time nature of the data; the leaf temperature sensor is used to sense the heat change on the leaf surface to determine the temperature of the leaf; the pest sensor is used to analyze the image or spectral data of the leaves and stems of the plant. The sensor can identify the characteristics of pests and diseases, thereby determining whether there are pests and diseases; the GPS user uploads the current location information; the LoRa communication module is used to realize long-distance, low-power data transmission of data.

[0008] As a preferred technical solution, the data processing unit includes a data acquisition module, a data storage module, a data analysis module, an intrusion identification module, a decision module, an alarm module and a wireless communication module; the LoRa communication module is wirelessly connected to the data acquisition module; the data acquisition module is electrically connected to the data storage module, the data analysis module and the intrusion identification module respectively; the data analysis module and the intrusion identification module are both electrically connected to the decision module; the decision module is electrically connected to the alarm module and the wireless communication module respectively; the alarm module is wirelessly connected to the speaker.

[0009] As a preferred technical solution, the data acquisition module is responsible for collecting data information uploaded by the sensor array, GPS and camera, and performing data preprocessing to improve data quality and reduce the complexity of subsequent processing; the data storage module is responsible for storing the collected data; the data analysis module is used to analyze and process the received soil moisture data, leaf temperature and humidity data, light intensity data, pest and disease monitoring data and personnel activity data; the intrusion identification module is responsible for selecting the image captured by the camera and the scope of the greening, and sending data when someone crosses the scope of the selection and enters the greening; setting the rules for intrusion judgment, when the object enters the selection area for more than a certain time threshold T; if the time t that the object stays in the selection area exceeds the preset threshold T, it is judged as an intrusion: if t>TthenIntrusion=True;

[0010] The decision module is responsible for generating and uploading corresponding management decision instructions based on the analysis results of the data analysis module and the data uploaded by the intrusion identification module; the alarm module is used to send alarm data after the decision module receives the data uploaded by the intrusion identification module. The alarm module edits prompt information based on the uploaded alarm data and transmits it to the speaker for broadcast reminder; the wireless communication module is responsible for sending the decision instructions issued by the decision module.

[0011] As a preferred technical solution, the user management unit includes a web page, a mobile terminal, a chart generation module and a user interaction interface; the wireless communication module is wirelessly connected to the web page and the mobile terminal respectively; the web page and the mobile terminal are both wirelessly connected to the chart generation module; the chart generation module is wirelessly connected to the user interaction interface; the user interaction interface is wirelessly connected to the data storage module.

[0012] As a preferred technical solution, the web page and mobile terminal are used to remotely log in to the remote monitoring terminal to provide a platform for decision-making instructions; the chart generation module is used to display the large amount of data stored and analyzed by the data processing center in the form of intuitive charts; the user interaction interface is responsible for providing users with a visual interface, allowing users to view chart data to determine the current health status of greening.

[0013] The present invention has the following beneficial effects:

[0014] The present invention realizes real-time monitoring and management of urban greening through the Internet of Things technology, greatly improving management efficiency. The system can automatically collect, process and analyze various data, provide managers with accurate decision-making basis, and reduce the workload of manual inspections and manual records. This automated management method not only improves work efficiency, but also reduces the possibility of human errors. The system can work 24 hours a day, ensuring continuous monitoring of urban greening, so that managers can grasp the latest greening status at any time, so as to make timely adjustments and decisions.

[0015] The present invention can timely discover problems in the plant growth process, such as drought, pests and diseases, through real-time monitoring of data such as soil moisture, leaf temperature and humidity, and light intensity, so as to take corresponding measures to make adjustments, avoid problems such as excessive watering and fertilization, and reduce the cost of greening maintenance. This precise maintenance method not only saves water resources and fertilizers, but also reduces plant damage caused by excessive maintenance. At the same time, the system's early warning function can help managers discover potential problems in advance and avoid the expansion of problems, thereby further reducing maintenance costs.

[0016] Through real-time monitoring and data analysis of the plant growth environment, the present invention can better understand the growth needs of plants and provide more suitable growth conditions for plants, thereby improving the growth rate and quality of plants. Through monitoring and early warning of pests and diseases, pest and disease problems can be discovered and dealt with in a timely manner, reducing the impact of pests and diseases on plants and improving the overall quality of urban greening. This scientific management method not only improves the growth quality of plants, but also enhances the stress resistance of plants, making urban greening healthier and more beautiful.

[0017] Of course, any product implementing the present invention does not necessarily need to achieve all of the advantages described above at the same time. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0019] Figure 1 The present invention is a flow chart of an urban greening management system based on the Internet of Things. DETAILED DESCRIPTION

[0020] 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.

[0021] See also Figure 1 As shown, the present invention is an urban greening management system based on the Internet of Things, including a data acquisition unit, a data processing unit and a user management unit;

[0022] The data processing unit includes a sensor array, lighting equipment and a LoRa communication module; the sensor array includes a soil moisture sensor, a leaf moisture sensor, a meteorological sensor, a leaf temperature sensor and a pest sensor; the lighting equipment includes a GPS, a camera and a speaker; the sensor array, GPS and the camera are all electrically connected to the LoRa communication module; the soil moisture sensor is responsible for sensing the changes in soil moisture and converting them into readable electrical signals, and the leaf moisture sensor is a resistive leaf moisture sensor, which is responsible for using two electrodes to pass current through the leaf surface. Since water is a good conductor, when the moisture content on the leaf surface increases, the impedance of the current will also decrease accordingly. The resistance value changes, and by measuring the resistance change of the resistor, the moisture content on the leaf surface can be determined; the meteorological sensor is responsible for monitoring and recording various meteorological elements, providing real-time and accurate meteorological data, and automatically collecting meteorological data around the clock without human intervention, ensuring the continuity and real-time nature of the data; the leaf temperature sensor is used to sense the heat changes on the leaf surface to determine the temperature of the leaf; the pest and disease sensor is used to analyze the image or spectral data of the leaves and stems of the plant. The sensor can identify the characteristics of pests and diseases, and thus determine whether there are pests and diseases; GPS users upload current location information; the LoRa communication module is used to realize long-distance, low-power data transmission of data.

[0023] The data processing unit includes a data acquisition module, a data storage module, a data analysis module, an intrusion identification module, a decision module, an alarm module and a wireless communication module; the LoRa communication module is wirelessly connected to the data acquisition module; the data acquisition module is electrically connected to the data storage module, the data analysis module and the intrusion identification module respectively; the data analysis module and the intrusion identification module are both electrically connected to the decision module; the decision module is electrically connected to the alarm module and the wireless communication module respectively; the alarm module is wirelessly connected to the speaker; the data acquisition module is responsible for collecting data information uploaded by the sensor array, GPS and camera, and performing data preprocessing to improve data quality and reduce the complexity of subsequent processing; the data storage module is responsible for storing the collected data; the data analysis module is used to analyze and process the received soil moisture data, leaf temperature and humidity data, light intensity data, pest and disease monitoring data and personnel activity data; the intrusion identification module is responsible for selecting the image captured by the camera and the scope of the greening, and sending data when someone crosses the scope of the selection and enters the greening; the rules for intrusion judgment are set, when the object enters the selection area for more than a certain time threshold T; if the time t that the object stays in the selection area exceeds the preset threshold T, it is judged as an intrusion: if t>TthenIntrusion=True; the decision module is responsible for generating and uploading corresponding management decision instructions based on the analysis results of the data analysis module and the data uploaded by the intrusion identification module; the alarm module is used to send alarm data after the decision module receives the data uploaded by the intrusion identification module. The alarm module edits the prompt information according to the uploaded alarm data and transmits it to the speaker for broadcast reminder; the wireless communication module is responsible for sending the decision instructions issued by the decision module.

[0024] The user management unit includes a web page, a mobile terminal, a chart generation module and a user interaction interface; the wireless communication module is wirelessly connected to the web page and the mobile terminal respectively; the web page and the mobile terminal are both wirelessly connected to the chart generation module; the chart generation module is wirelessly connected to the user interaction interface; the user interaction interface is wirelessly connected to the data storage module; the web page and the mobile terminal are used to remotely log in to the remote monitoring terminal to provide a platform for decision-making instructions; the chart generation module is used to display the large amount of data stored and analyzed by the data processing center in the form of intuitive charts; the user interaction interface is responsible for providing users with a visual interface, allowing users to view chart data to determine the current health status of greening.

[0025] A specific application of this embodiment is: the data acquisition unit in the present invention collects real-time data information of the urban greening area through a sensor array (including soil moisture sensors, leaf moisture sensors, meteorological sensors, leaf temperature sensors and pest sensors), and the GPS and camera in the lighting equipment also provide location information and image data. These data are transmitted to the data processing unit through the LoRa communication module for long-distance and low-power data transmission. In the data processing unit, the data acquisition module receives and pre-processes the data, and then sends it to the data storage module for storage. The data analysis module analyzes and processes the collected data, including soil moisture data, leaf temperature and humidity data, light intensity data, pest monitoring data and personnel activity data, etc. The intrusion recognition module selects the image captured by the camera and the scope of the greening. When someone crosses the selected scope and enters the greening, the data is sent; the rules for intrusion determination are set, when the object enters the selected area for more than a certain time threshold T; if the time t that the object stays in the selected area exceeds the preset threshold T, it is determined to be an intrusion: if t>TthenIntrusion=True, the decision module generates corresponding management decision instructions according to the analysis results of the data analysis module and the data uploaded by the intrusion identification module, and uploads them. The alarm module is used to send alarm data after the decision module receives the data uploaded by the intrusion identification module. The alarm module edits the prompt information according to the uploaded alarm data and transmits it to the speaker for broadcast reminder. The wireless communication module sends the decision instruction issued by the decision module to the user management unit. The web page and mobile terminal in the user management unit remotely log in to the remote monitoring terminal to provide a platform for the decision instruction. The chart generation module displays the large amount of data stored and analyzed by the data processing center in the form of intuitive charts. The user interaction interface is responsible for providing users with a visual interface, allowing users to view chart data to judge the current health status of greening.

[0026] It is worth noting that in the above system embodiment, the various units included are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0027] In addition, those skilled in the art can understand that all or part of the steps in the above-mentioned embodiments can be completed by instructing related hardware through a program, and the corresponding program can be stored in a computer-readable storage medium.

[0028] The preferred embodiments of the present invention disclosed above are only used to help illustrate the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to the specific implementation methods described. Obviously, many modifications and changes can be made according to the content of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that those skilled in the art can understand and use the present invention well. The present invention is limited only by the claims and their full scope and equivalents.

Claims

1. An urban greening management system based on the Internet of Things, comprising a data acquisition unit, a data processing unit and a user management unit; characterized in that: The data processing unit includes a sensor array, a lighting device and a LoRa communication module; the sensor array includes a soil moisture sensor, a leaf moisture sensor, a meteorological sensor, a leaf temperature sensor and a pest sensor; the lighting device includes a GPS, a camera and a speaker; the sensor array, the GPS and the camera are all electrically connected to the LoRa communication module; The soil moisture sensor is responsible for sensing the change of moisture in the soil and converting it into a readable electrical signal. The leaf moisture sensor is a resistive leaf surface moisture sensor, which is responsible for passing current through the leaf surface using two electrodes. Since water is a good conductor, when the moisture content on the leaf surface increases, the impedance of the current will also decrease accordingly, resulting in a change in the resistance value. By measuring the resistance change of the resistor, the moisture content on the leaf surface can be determined; the meteorological sensor is responsible for monitoring and recording various meteorological elements, providing real-time and accurate meteorological data, and automatically collecting meteorological data around the clock without human intervention to ensure the continuity and real-time nature of the data; the leaf temperature sensor is used to sense the heat change on the leaf surface to determine the temperature of the leaf; the pest sensor is used to analyze the image or spectral data of the leaves and stems of the plant. The sensor can identify the characteristics of pests and diseases, thereby determining whether there are pests and diseases; the GPS user uploads the current location information; the LoRa communication module is used to realize long-distance, low-power data transmission of data.

2. According to the urban greening management system based on the Internet of Things according to claim 1, it is characterized in that: The data processing unit includes a data acquisition module, a data storage module, a data analysis module, an intrusion identification module, a decision module, an alarm module and a wireless communication module; the LoRa communication module is wirelessly connected to the data acquisition module; the data acquisition module is electrically connected to the data storage module, the data analysis module and the intrusion identification module respectively; the data analysis module and the intrusion identification module are both electrically connected to the decision module; the decision module is electrically connected to the alarm module and the wireless communication module respectively; the alarm module is wirelessly connected to the speaker.

3. The urban greening management system based on the Internet of Things according to claim 2 is characterized in that: The data acquisition module is responsible for collecting data information uploaded by the sensor array, GPS and camera, and performing data preprocessing to improve data quality and reduce the complexity of subsequent processing; The data storage module is responsible for storing the collected data; the data analysis module is used to analyze and process the received soil moisture data, leaf temperature and humidity data, light intensity data, pest and disease monitoring data, and personnel activity data; The intrusion identification module is responsible for selecting the area according to the range of greenery based on the images captured by the camera. When someone crosses the selected area and enters the greenery, data is sent. The intrusion judgment rule is set. When the object enters the selected area for more than a certain time threshold T; if the time t that the object stays in the selected area exceeds the preset threshold T, it is judged as an intrusion: if t>TthenIntrusion=True; The decision module is responsible for generating and uploading corresponding management decision instructions based on the analysis results of the data analysis module and the data uploaded by the intrusion identification module; the alarm module is used to send alarm data after the decision module receives the data uploaded by the intrusion identification module. The alarm module edits prompt information based on the uploaded alarm data and transmits it to the speaker for broadcast reminder; the wireless communication module is responsible for sending the decision instructions issued by the decision module.

4. The urban greening management system based on the Internet of Things according to claim 1 is characterized in that: The user management unit includes a web page, a mobile terminal, a chart generation module and a user interaction interface; the wireless communication module is wirelessly connected to the web page and the mobile terminal respectively; the web page and the mobile terminal are both wirelessly connected to the chart generation module; the chart generation module is wirelessly connected to the user interaction interface; the user interaction interface is wirelessly connected to the data storage module.

5. The urban greening management system based on the Internet of Things according to claim 4 is characterized in that: The web page and mobile terminal are used to remotely log in to the remote monitoring terminal and provide a platform for decision-making instructions; the chart generation module is used to display the large amount of data stored and analyzed by the data processing center in the form of intuitive charts; the user interaction interface is responsible for providing users with a visual interface, allowing users to view chart data to determine the current health status of greening.

Images