Rural environment multi-mode intelligent monitoring equipment

Abstract

The invention discloses a rural environment multi-mode intelligent monitoring device, and relates to the field of environment monitoring, and the device comprises a body, and a control module, a positioning module, a communication module, a monitoring module and a shooting module which are installed on the body. Wherein the control module is used for collecting air data of a rural environment by using the monitoring module; acquiring image data of a rural environment by using a shooting module; acquiring position information of the equipment by using a positioning module, and determining a moving speed based on the acquired position information; the communication module is used for communicating with a remote server; the air data comprises data of pollutants in air and temperature and humidity data; the control module can also identify the current working mode and monitor the rural environment according to the identified current working mode. According to the invention, complex and diverse rural environment monitoring requirements can be met.

Description

Technical Field

[0001] This application relates to the field of environmental monitoring, and in particular to a multi-mode intelligent monitoring device for rural environments. Background Technology

[0002] Environmental monitoring is crucial in rural development. Traditional monitoring equipment struggles to adapt to the complex and diverse rural environment and ever-changing monitoring needs. For example, in mountainous areas and other areas with complex terrain, traditional equipment makes it difficult to flexibly deploy monitoring points; in remote villages with unstable communication signals, data transmission is often hindered. Furthermore, existing equipment often cannot comprehensively monitor multiple environmental elements, failing to meet the needs of rural environmental management and agricultural development. Summary of the Invention

[0003] The purpose of this application is to provide a multi-mode intelligent monitoring device for rural environment that can meet the complex and diverse needs of rural environmental monitoring.

[0004] To achieve the above objectives, this application provides the following solution:

[0005] In a first aspect, this application provides a multi-mode intelligent monitoring device for rural environment, including: a main body and a control module, a positioning module, a communication module, a monitoring module and a shooting module installed on the main body;

[0006] The control module is used to: collect air data of the rural environment using the monitoring module; collect image data of the rural environment using the imaging module; obtain the location information of the main body using the positioning module, and determine the moving speed of the main body based on the obtained location information; and communicate with a remote server using the communication module; the air data includes data on pollutants in the air and temperature and humidity data;

[0007] The control module is also used to identify the current operating mode and perform rural environmental monitoring according to the identified current operating mode; specifically,

[0008] When the current moving speed of the body is detected to be within the preset speed range and the duration exceeds the first preset time range, the current working mode is determined to be the walking patrol monitoring mode, and then the rural environment monitoring is carried out according to the walking patrol monitoring mode.

[0009] When the external power supply of the main body is detected to power the drone, and the takeoff command and mission parameters sent by the drone are received, the current working mode is determined to be the drone-borne monitoring mode, and then rural environmental monitoring is carried out according to the drone-borne monitoring mode; the mission parameters include the acquisition frequency;

[0010] When the detected change in the position of the subject is less than a preset distance threshold within a second preset time range, and a fixed-point deployment and monitoring task instruction is received from a remote server, the current working mode is determined to be the fixed-point deployment and monitoring mode, and then rural environmental monitoring is carried out in accordance with the fixed-point deployment and monitoring mode.

[0011] According to the specific embodiments provided in this application, this application has the following technical effects:

[0012] This application provides a multi-mode intelligent monitoring device for rural environment, including a main body and a control module, a positioning module, a communication module, a monitoring module, and a shooting module installed on the main body. The control module can identify the current working mode and perform rural environment monitoring according to the identified current working mode. Specifically, when the main body's current moving speed is detected to be within a preset speed range and the duration exceeds a first preset time range, the current working mode is determined to be a walking patrol monitoring mode, and rural environment monitoring is performed according to the walking patrol monitoring mode. When the main body's external power supply is detected to be powered by a drone, and a takeoff command and mission parameters sent by the drone are received, the current working mode is determined to be a drone-borne monitoring mode, and rural environment monitoring is performed according to the drone-borne monitoring mode. The mission parameters include the acquisition frequency. When the main body's position change is detected to be less than a preset distance threshold within a second preset time range, and a fixed-point deployment monitoring mission command sent by a remote server is received, the current working mode is determined to be a fixed-point deployment monitoring mode, and rural environment monitoring is performed according to the fixed-point deployment monitoring mode. In other words, when different monitoring methods are required for different rural environments, the multi-mode intelligent monitoring equipment for rural environments provided in this application can adapt to the corresponding usage scenarios and automatically switch its own working mode to the working mode that conforms to the current usage scenario, thereby realizing the monitoring of different rural environments and meeting the complex and diverse needs of rural environmental monitoring. Attached Figure Description

[0013] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0014] Figure 1 This is a schematic diagram of a multi-mode intelligent monitoring device for rural environment provided in one embodiment of this application. Detailed Implementation

[0015] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0016] This application relates to the field of rural environmental monitoring technology, specifically an intelligent device that integrates multiple advanced technologies and has multi-mode monitoring functions. It is mainly used in scenarios such as rural air pollutant monitoring, ecological environment image acquisition, and analysis of crop and vegetation growth.

[0017] To make the above-mentioned objectives, features and advantages of this application more apparent and understandable, the application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0018] In one exemplary embodiment, such as Figure 1 As shown, a multi-mode intelligent monitoring device for rural environment is provided, including: a main body and a control module, a positioning module, a communication module, a monitoring module and a shooting module installed on the main body.

[0019] The control module is used to: collect air data of the rural environment using the monitoring module; collect image data of the rural environment using the shooting module; obtain the location information of the main body using the positioning module, and determine the moving speed of the main body based on the obtained location information; and communicate with a remote server using the communication module; the air data includes pollutant data and temperature and humidity data in the air.

[0020] The control module is also used to identify the current operating mode and perform rural environmental monitoring according to the identified current operating mode; specifically:

[0021] 1-1) When the current moving speed of the body is detected to be within the preset speed range and the duration exceeds the first preset time range, the current working mode is determined to be the walking patrol monitoring mode, and then the rural environment monitoring is carried out according to the walking patrol monitoring mode.

[0022] Preferably, in the walking patrol monitoring mode, the rural environmental multi-mode intelligent monitoring equipment is mounted on a monitoring vehicle and is powered by mains power or a lithium battery. In this document, the rural environmental multi-mode intelligent monitoring equipment is also referred to as the monitoring equipment or the device.

[0023] As an optional implementation, the preset speed range is 0.5 to 5 km / h, and the duration of the first preset time range is 30 seconds.

[0024] Movement speed can be determined by dividing the distance traveled by the time taken.

[0025] 1-2) When the external power supply of the main body is detected to power the UAV, and the take-off command and mission parameters sent by the UAV are received, the current working mode is determined to be the UAV-borne monitoring mode, and then rural environmental monitoring is carried out according to the UAV-borne monitoring mode; the mission parameters include the acquisition frequency.

[0026] In the drone-borne monitoring mode, the multi-mode intelligent monitoring equipment for the rural environment is mounted on the drone and powered by the drone.

[0027] 1-3) When the change in the position of the subject is detected to be less than the preset distance threshold within the second preset time range, and a fixed-point deployment and monitoring task instruction is received from the remote server, the current working mode is determined to be the fixed-point deployment and monitoring mode, and then rural environmental monitoring is carried out in accordance with the fixed-point deployment and monitoring mode.

[0028] Preferably, in the fixed-point deployment monitoring mode, the rural environmental multi-mode intelligent monitoring equipment is powered by mains power or lithium batteries.

[0029] As an optional implementation, the second preset time range has a duration of 2 hours, and the preset distance threshold is 5 meters.

[0030] Considering the interference with BeiDou positioning or small-scale movements caused by human intervention, a minimum distance threshold (i.e., a preset distance threshold) is set to avoid frequent calculations / identifications. Only when this threshold is exceeded will the calculation / identification be recalculated.

[0031] In this article, the control module is also referred to as the controller.

[0032] As an optional implementation, the controller uses a high-performance ARM Cortex-A55 chip with a main frequency of 1.5GHz and rich interface resources, such as SPI, I2C, and UART, to achieve rapid data acquisition, complex processing, and precise control of various modules. An integrated real-time operating system (RTOS) ensures high efficiency and stability in multitasking.

[0033] As an optional implementation, the positioning module uses a BeiDou / GPS dual-mode positioning chip, supports SBAS (Satellite-Based Augmentation System) differential positioning technology, and achieves sub-meter positioning accuracy (horizontal accuracy ≤ 1 meter, elevation accuracy ≤ 1.5 meters). It has a built-in high-gain antenna with high signal reception sensitivity, enabling it to quickly and accurately acquire location information in complex rural environments.

[0034] As an optional implementation, the communication module integrates a 4G / 5G communication module, supports all network frequency bands, and can automatically switch networks based on network signal strength. It supports multiple communication protocols such as TCP / IP, UDP, and MQTT, with data upload speeds exceeding 100Mbps on 5G networks and no less than 10Mbps on 4G networks. It also features automatic network reconnection to ensure continuous data transmission.

[0035] In some embodiments, the device further includes a storage module; in aspects of rural environmental monitoring according to the walking patrol monitoring mode, the control module is used for:

[0036] 2-1) Collect air data of the rural environment using the monitoring module according to the first preset time interval and store it in the storage module.

[0037] As an optional implementation, the first preset time interval is greater than or equal to 5 seconds and less than or equal to 3600 seconds.

[0038] 2-2) Collect image data of the rural environment using the shooting module according to the second preset time interval or preset moving distance, and store it in the storage module.

[0039] As an optional implementation, the second preset time interval is 30 seconds, and the preset moving distance is 100 meters.

[0040] As an optional implementation, the storage module can employ a large-capacity EEPROM memory, up to 32GB, enabling long-term reliable data storage. It supports power-loss protection to prevent data loss. Simultaneously, it possesses high-speed read and write capabilities, with read speeds up to 10MB / s and write speeds up to 5MB / s.

[0041] In some embodiments, in the aspect of conducting rural environmental monitoring according to the UAV-borne monitoring mode, the control module is used to:

[0042] 3-1) According to the acquisition frequency, the monitoring module and the shooting module respectively collect air data of the rural environment and image data of the ground area, and transmit the collected air data and image data of the ground area to the ground control station through the communication link between the UAV and the ground control station.

[0043] 3-1) When communication is interrupted, the collected air data and ground area image data are stored in the storage module.

[0044] In some embodiments, in the context of rural environmental monitoring according to a fixed-point deployment monitoring mode, the control module is used to:

[0045] 4-1) Collect air data at the location of the main body using the monitoring module according to the third preset time interval, and detect whether the air data is abnormal.

[0046] 4-2) When abnormal air data is detected, the camera module is activated to collect image data of the surrounding environment at the location of the main body, and to send alarm information to the remote server.

[0047] In some embodiments, in the context of rural environmental monitoring according to a fixed-point deployment monitoring mode, the control module is further configured to:

[0048] The system receives control commands sent by a remote server and executes corresponding operations according to the control commands; the control commands include sleep commands, wake-up commands, parameter adjustment commands, and data viewing commands.

[0049] In some embodiments, the monitoring module includes a PM2.5 / PM10 sensor, a nitrogen oxide sensor, a sulfide sensor, a dioxin detection sensor, a smoke sensor, and a temperature and humidity sensor.

[0050] PM2.5 / PM10 sensor: Employs laser scattering principle, detection range 0-1000 μg / m³ 3 Accuracy ±1μg / m 3 Response time ≤ 10 seconds.

[0051] Nitrogen oxide sensor: based on electrochemical detection principle, detection range 0-500ppm, accuracy ±0.1ppm, good stability, and long service life.

[0052] Sulfide sensor: Employs constant potential electrolysis method, detection range 0-100ppm, accuracy ±0.05ppm.

[0053] Dioxin detection sensor: Employs highly sensitive immunoassay technology with a detection limit as low as 0.01 pg / m³. 3 .

[0054] Smoke sensor: Based on the principle of photoelectric sensing, it can quickly detect changes in smoke concentration, and the response threshold can be set.

[0055] Temperature and humidity sensors: Temperature detection range -40℃ to 80℃, accuracy ±0.3℃; Humidity detection range 0% to 100%RH, accuracy ±2%RH. Data from each sensor is converted into digital signals with 16-bit precision via an analog-to-digital converter (ADC) and transmitted to the controller.

[0056] In some embodiments, the device further includes an input display module; the input display module is used to display an electronic map, receive inspection route setting instructions input by staff, and output them to the control module;

[0057] The control module is also used to generate an inspection route map according to the inspection route setting instructions, and output it to the input display module for display.

[0058] As an optional implementation, the input display module is equipped with an 8-inch capacitive touch LCD screen with a resolution of 1280×800, supporting ten-point touch for sensitive and convenient operation. The screen features anti-glare treatment, ensuring clear visibility even in strong outdoor sunlight. Its driving circuit uses a high-performance driver chip to ensure display stability and color reproduction accuracy.

[0059] In some embodiments, in the aspect of conducting rural environmental monitoring according to the walking patrol monitoring mode, the control module is further configured to:

[0060] Navigation information is generated based on the current location information and the inspection route map, and then output to the input display module for display.

[0061] In some embodiments, in the monitoring mode carried by the UAV or the fixed-point deployment monitoring mode, the control module is further configured to output a shutdown signal to the input display module; the shutdown signal is used to control the input display module to enter the shutdown state.

[0062] As an optional implementation, the shooting module includes:

[0063] Camera: 16-megapixel CCD image sensor with high resolution and excellent low-light performance, supporting automatic exposure and automatic white balance.

[0064] Lens: It adopts a 135° ultra-wide-angle lens with a large F2.0 aperture and 2x optical zoom, which can clearly capture large-area scenes.

[0065] Encoder: H.265 video encoder, supports 1080p / 60fps video recording, high video compression ratio, and small storage space usage.

[0066] Lighting system: Built-in 4 high-brightness LED fill lights that can be automatically turned on when the light is insufficient to ensure clear shooting.

[0067] In some embodiments, the device further includes a power module, the power module comprising:

[0068] Mains power supply section: 220VAC / DC power adapter with a conversion efficiency of up to 90% and overvoltage, overcurrent, and short circuit protection functions.

[0069] Lithium battery section: Employs a 7.4V / 12Ah lithium iron phosphate battery pack, featuring high energy density and long cycle life; supports fast charging with a charging time of ≤3 hours. Features battery power monitoring and protection circuitry to prevent overcharging, over-discharging, and short circuits; automatically switches to lithium battery power in the event of a mains power outage to ensure continuous operation of the device.

[0070] The following section provides further explanation of each working mode.

[0071] 1) Walking patrol monitoring mode (movement method is unrestricted, monitoring carts can be used)

[0072] Route planning: Staff can pre-set inspection routes via the input display module, and the system generates electronic map navigation guidance based on BeiDou / GPS positioning data. Offline map download is supported, allowing normal operation even without a network connection.

[0073] Data Acquisition: The device automatically collects air pollutant data and temperature and humidity data at a set sampling interval (which can be flexibly adjusted within 5 to 3600 seconds). The imaging module acquires environmental images according to a set shooting frequency (such as taking a photo every 100 meters or recording a video every 30 seconds).

[0074] Data storage and processing: The collected data is stored in real time to the storage module and undergoes preliminary processing in the controller, such as data filtering and outlier removal.

[0075] 2) Monitoring mode equipped with drones

[0076] Adaptation and Takeoff Preparation: The equipment can be quickly adapted and connected to mainstream drones such as the DJI M300 RTK via a dedicated interface. Before takeoff, the operator sets the flight altitude (adjustable from 5 to 100 meters), flight speed (adjustable from 3 to 10 m / s), flight route, and monitoring tasks through the ground control station.

[0077] Aerial monitoring: The drone flies along a preset route, with the monitoring module collecting real-time high-altitude environmental data and the imaging module capturing large-area images of the area below. Utilizing the drone's hovering capability, detailed, targeted monitoring can be conducted in key areas.

[0078] Data transmission and feedback: Monitoring data is transmitted in real time to the ground control station via the communication link between the UAV and the ground station, and then uploaded to the remote server by the ground control station via the 4G / 5G network. If communication is interrupted, the data is temporarily stored in the device's storage module and will be automatically resumed when communication is restored.

[0079] 3) Fixed-point deployment and monitoring mode

[0080] Equipment deployment: The equipment is fixedly installed at the selected monitoring point, connected to mains power or powered by a lithium battery. Monitoring parameters and data storage period (adjustable from 1 to 30 days) are determined through remote configuration or on-site settings.

[0081] Real-time monitoring: The equipment continuously collects environmental data from monitoring points. When abnormal data is detected (such as pollutant concentration exceeding the standard, sudden changes in temperature and humidity, etc.), the camera module is automatically activated to record the on-site situation, and alarm information is sent to the remote server through the communication module.

[0082] Remote management: Administrators can remotely wake up and put the device into sleep mode, as well as adjust parameters and view data through a remote terminal.

[0083] Below is an example of working mode switching logic.

[0084] Walking patrol monitoring mode activated: After the device is powered on, it enters walking patrol monitoring mode by default. When the positioning module detects that the device's moving speed is between 0.5 and 5 km / h and lasts for more than 30 seconds, it is determined to be in walking mode, and the corresponding data acquisition and processing process is initiated.

[0085] Drone-borne monitoring mode switching: When the device detects that an external power source is supplying power to the drone and receives takeoff commands and mission parameters from the drone, it automatically switches to drone-borne monitoring mode, disables some functions in walking mode, such as screen display (only retaining key status information), and adjusts the data acquisition frequency and shooting parameters to adapt to aerial monitoring needs.

[0086] Fixed-point deployment monitoring mode switching: If the device remains stationary and the positioning module detects that the position change is less than the set threshold (e.g., 5 meters) for a duration exceeding 2 hours, and a fixed-point deployment monitoring task instruction is received, the device automatically switches to fixed-point deployment monitoring mode, starts continuous monitoring and data storage functions, and adjusts the communication strategy to upload data at regular intervals or trigger uploads by abnormal alarms.

[0087] In another exemplary embodiment, the three working modes are mainly distinguished based on the movement speed of the main body. For example, slow movement (e.g., 0.5 to 5 km / h) indicates that it is carried by a person or a monitoring vehicle and is identified as a walking patrol monitoring mode; fast movement (e.g., 3 to 10 m / s) indicates that it is carried by a drone and is identified as a drone-borne monitoring mode; and a movement speed of 0 (i.e., not moving) indicates that it is fixed and is identified as a fixed-point deployment monitoring mode.

[0088] Of course, combining other judgment conditions (such as detecting that the external power supply is providing power to the drone and receiving takeoff commands and mission parameters sent by the drone) will make the identification more accurate and reliable.

[0089] In some embodiments, the control module incorporates a plant identification algorithm; the control module is also used for:

[0090] The built-in plant identification algorithm identifies the plant species in the collected image data and assesses the growth status of the plants based on their morphological and spectral characteristics.

[0091] The following section explains plant identification and analysis.

[0092] Data acquisition: The imaging module acquires image data of crops and vegetation, and at the same time uses a spectral sensor to collect spectral information of plants (including visible light and near-infrared spectra).

[0093] Recognition Algorithm: A plant recognition algorithm based on convolutional neural network (CNN) and spectral feature fusion processes the collected data. Through extensive sample training, the recognition accuracy for common crops can reach over 98%, and the recognition accuracy for weeds can reach over 95%.

[0094] Growth status assessment: Based on the morphological characteristics (such as leaf number and plant height) and spectral characteristics (chlorophyll content and vegetation index) of plants, the growth status of crops and vegetation is assessed to provide data support for precision fertilization and pest and disease control.

[0095] The following section explains the data transmission and management of the device.

[0096] Transmission Protocol: The secure and reliable HTTPS protocol is used for data transmission, ensuring data confidentiality and integrity. Data is compressed before transmission, achieving a compression rate of over 75%, reducing transmission bandwidth and time.

[0097] Data storage and backup: Monitoring data is stored in a database on a remote server, and redundant storage technology is used for data backup to prevent data loss. Additionally, important data is periodically downloaded to local storage modules for offline backup.

[0098] Data sharing and application: Through open API interfaces, monitoring data is provided to relevant departments (such as environmental protection departments and agricultural departments) and research institutions to achieve data sharing and in-depth application.

[0099] The hardware of the device is described in further detail below.

[0100] Connect the controller motherboard to each sensor module via the corresponding SPI, I2C, or other interfaces to ensure a secure connection and stable signal transmission.

[0101] When installing the antenna for the BeiDou / GPS positioning module, choose an open, unobstructed location to ensure good signal reception. For the antenna connecting the communication module, ensure frequency band matching and that the signal strength meets requirements.

[0102] Install the lens and CCD sensor of the shooting module, calibrate and adjust them to ensure clear and distortion-free images. Connect the supplementary lighting system circuit and test the supplementary lighting effect.

[0103] Assemble the power module, connect the mains input line and the lithium battery pack, test the power conversion and power supply functions, and ensure that the equipment works normally under different power supply modes.

[0104] All modules are integrated and installed inside a protective casing, with waterproof, dustproof, and shockproof measures in place to ensure the equipment is suitable for rural outdoor environments.

[0105] The software of the device is described below.

[0106] A customized embedded Linux operating system is burned into the controller, the system kernel is optimized, and the system is guaranteed to run stably and allocate resources reasonably.

[0107] The plant identification algorithm model is deployed using a lightweight neural network architecture to reduce memory usage and computational load, thereby improving identification speed.

[0108] Configure the communication module driver and communication protocol stack to ensure a stable connection with the remote server. Set data transmission parameters, such as transmission frequency and data format.

[0109] Develop the interactive interface for the input display module, including functions such as monitoring data display, operation menus, and map navigation, to ensure simple and intuitive operation.

[0110] Conduct system integration testing to comprehensively test all functions of the equipment and fix software vulnerabilities and compatibility issues.

[0111] This application has the following beneficial effects:

[0112] Multi-mode collaborative monitoring innovation: It integrates three monitoring modes: walking patrol, drone-mounted, and fixed-point deployment. It can flexibly switch according to different monitoring scenarios and needs in rural areas to achieve comprehensive and multi-level environmental monitoring. Compared with traditional single-mode monitoring equipment, the monitoring range is expanded by more than 3 times and the monitoring efficiency is increased by more than 50%.

[0113] High-precision multi-parameter monitoring: Integrating multiple high-precision sensors, it can simultaneously monitor various air pollutants, temperature, humidity, and other environmental factors with high accuracy, providing more comprehensive and accurate data support for rural environmental quality assessment. In monitoring crop and vegetation growth, through spectral fusion and deep learning algorithms, the identification accuracy far exceeds traditional methods, enabling precise guidance for agricultural production and potentially increasing crop yields by 10%–15%.

[0114] Intelligent Data Processing and Transmission: Possesses powerful data processing capabilities, enabling real-time analysis and processing of collected data locally, minimizing invalid data transmission. It employs efficient data compression and secure transmission protocols to ensure both high efficiency and security in data transmission. Simultaneously, it facilitates data sharing through open API interfaces, promoting the informatization of rural environmental monitoring and management.

[0115] High adaptability and reliability design: The equipment hardware adopts a high protection level design to adapt to the complex natural environment of rural areas. The power module supports dual power supply from AC mains and lithium batteries, ensuring continuous and stable operation of the equipment. The software has automatic fault detection and recovery functions, improving the reliability and stability of the equipment and reducing maintenance costs.

[0116] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0117] This document uses specific examples to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the methods and core ideas of this application. Furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A multi-mode intelligent monitoring device for rural environment, characterized in that, include: The main body and the control module, positioning module, communication module, monitoring module and shooting module installed on the main body; The control module is used to: collect air data of the rural environment using the monitoring module; collect image data of the rural environment using the imaging module; obtain the location information of the main body using the positioning module, and determine the moving speed of the main body based on the obtained location information; and communicate with a remote server using the communication module; the air data includes data on pollutants in the air and temperature and humidity data; The control module is also used to identify the current operating mode and perform rural environmental monitoring according to the identified current operating mode; specifically, When the current moving speed of the body is detected to be within the preset speed range and the duration exceeds the first preset time range, the current working mode is determined to be the walking patrol monitoring mode, and then the rural environment monitoring is carried out according to the walking patrol monitoring mode. When the external power supply of the main body is detected to power the drone, and the take-off command and mission parameters sent by the drone are received, the current working mode is determined to be the drone-borne monitoring mode, and then rural environmental monitoring is carried out in accordance with the drone-borne monitoring mode. The task parameters include the acquisition frequency; When the detected change in the position of the subject is less than a preset distance threshold within a second preset time range, and a fixed-point deployment and monitoring task instruction is received from a remote server, the current working mode is determined to be the fixed-point deployment and monitoring mode, and then rural environmental monitoring is carried out in accordance with the fixed-point deployment and monitoring mode.

2. The multi-mode intelligent monitoring device for rural environment according to claim 1, characterized in that, The device also includes a storage module; in terms of conducting rural environmental monitoring according to the walking patrol monitoring mode, the control module is used for: Air data of the rural environment is collected by the monitoring module at the first preset time interval and stored in the storage module; The camera module collects image data of the rural environment according to the second preset time interval or preset moving distance, and stores it in the storage module.

3. The multi-mode intelligent monitoring device for rural environment according to claim 2, characterized in that, In the aspect of conducting rural environmental monitoring according to the aforementioned UAV-borne monitoring mode, the control module is used for: According to the acquisition frequency, the monitoring module and the shooting module respectively collect air data of the rural environment and image data of the ground area, and transmit the collected air data and image data of the ground area to the ground control station through the communication link between the UAV and the ground control station. When communication is interrupted, the collected air data and ground area image data are stored in the storage module.

4. The multi-mode intelligent monitoring device for rural environment according to claim 3, characterized in that, In the context of rural environmental monitoring using a fixed-point deployment monitoring model, the control module is used for: According to the third preset time interval, the monitoring module collects air data at the location of the main body and detects whether the air data is abnormal. When abnormal air data is detected, the camera module is activated to collect image data of the surrounding environment at the location of the device, and to send alarm information to the remote server.

5. The multi-mode intelligent monitoring device for rural environment according to claim 4, characterized in that, In terms of rural environmental monitoring according to the fixed-point deployment monitoring model, the control module is also used for: The system receives control commands sent by a remote server and executes corresponding operations according to the control commands; the control commands include sleep commands, wake-up commands, parameter adjustment commands, and data viewing commands.

6. The multi-mode intelligent monitoring device for rural environment according to claim 1, characterized in that, The monitoring module includes a PM2.5 / PM10 sensor, a nitrogen oxide sensor, a sulfide sensor, a dioxin detection sensor, a smoke sensor, and a temperature and humidity sensor.

7. The multi-mode intelligent monitoring device for rural environment according to claim 1, characterized in that, The control module has a built-in plant identification algorithm; the control module is also used for: The built-in plant identification algorithm identifies the plant species in the collected image data and assesses the growth status of the plants based on their morphological and spectral characteristics.

8. The multi-mode intelligent monitoring device for rural environment according to claim 2, characterized in that, The device also includes an input display module; the input display module is used to display an electronic map, receive inspection route setting instructions input by staff, and output them to the control module; The control module is also used to generate an inspection route map according to the inspection route setting instructions, and output it to the input display module for display.

9. The multi-mode intelligent monitoring device for rural environment according to claim 8, characterized in that, In terms of conducting rural environmental monitoring according to the described walking patrol monitoring mode, the control module is further configured to: Navigation information is generated based on the current location information and the inspection route map, and then output to the input display module for display.

10. The multi-mode intelligent monitoring device for rural environment according to claim 8, characterized in that, In the monitoring mode carried by the UAV or the fixed-point deployment monitoring mode, the control module is also used to output a shutdown signal to the input display module; the shutdown signal is used to control the input display module to enter the shutdown state.

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