Intelligent handheld terminal device for wild animal monitoring and use method

Abstract

The invention discloses intelligent handheld terminal equipment for wild animal monitoring and a use method. A terminal system adaptive to a field environment is constructed through hardware configuration; comprising a three-proofing machine body, a core processing module, a multifunctional sensing module, a wireless communication module and an endurance module, the core processing module, the multifunctional sensing module, the wireless communication module and the endurance module are arranged in the three-proofing machine body; the multifunctional sensing module and the wireless communication module are connected with the core processing module, and the core processing module is connected with the endurance module; efficient management and intelligent data processing of the infrared camera are achieved, the problems that traditional equipment is tedious in configuration, short in endurance and poor in environmental adaptability are solved, powerful support is provided for ecological protection, wild animal monitoring and field equipment management, and development and application of the technical field of field monitoring equipment are promoted.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of field monitoring equipment technology, intelligent hardware integration, AI data processing and wireless communication technology, in particular to a multifunctional intelligent handheld terminal device for wild animal monitoring and a use method thereof. BACKGROUND

[0002] In traditional wild animal monitoring, the management and data processing of infrared induction cameras rely on notebook computers or single-function handheld devices, which have significant technical shortcomings. In terms of device configuration, it is necessary to manually carry a notebook computer to the field site to connect the camera and modify parameters, which is cumbersome and limited by terrain and environment. The configuration of a single camera takes up to 15 minutes, which is extremely inefficient. Traditional handheld devices only support basic data reading and cannot meet the diversified needs of parameter configuration and data filtering.

[0003] In terms of environmental adaptability, ordinary intelligent terminals lack protection design for harsh outdoor environments and are difficult to resist weather erosion such as rain, snow and dust. The battery endurance is generally less than 5 hours, which cannot support long-term outdoor operation. Especially in low temperature environment below -20℃ or high temperature environment above 60℃, the device is prone to problems such as freezing, endurance drop and interruption of monitoring.

[0004] In terms of data management, existing devices lack intelligent processing capabilities. A large amount of data collected by infrared cameras, including false triggers such as wind-induced movement, light changes, etc., need to be manually screened in the later stage, which not only consumes a lot of labor cost, but also delays the time efficiency of data analysis, making it difficult to quickly support wild animal behavior research and ecological protection decision-making.

[0005] In recent years, although there have been attempts to improve outdoor equipment, most of them only focus on optimizing a single function (such as improving endurance or strengthening protection), and have not achieved the integration of "protection + function + intelligence", and still cannot solve the core problem of balancing portability, environmental adaptability and function integration.

[0006] In view of the above shortcomings, the present application provides a multifunctional intelligent handheld terminal device for wild animal monitoring. The device solves the problems of harsh environmental adaptability and short endurance through IP68 three-proof design, -20℃~60℃ wide temperature adaptation and 10000mAh long endurance battery. It integrates NFC rapid pairing, dual-frequency GPS, laser range finder and thermal imaging auxiliary functions to realize efficient configuration and multi-data collection of infrared cameras. It is equipped with an AI image pre-screening algorithm based on a lightweight CNN model to automatically distinguish important data and data to be audited, greatly reducing the cost of manual processing. At the same time, the device adopts modular design and supports sensor expansion (such as gas detection module), which can adapt to different field monitoring scenes and effectively make up for the technical defects of traditional devices. SUMMARY

[0007] The technical problem solved by the present application is to provide a multifunctional intelligent handheld terminal device for wildlife monitoring, which integrates three-proof hardware design, multifunctional module integration and intelligent algorithm technology, and solves the core problems of traditional infrared camera management devices in field operation. The device provides an efficient and reliable solution for on-site management, data collection and processing of infrared cameras through highly integrated hardware design, fast device pairing and parameter configuration function, intelligent data filtering and management capability. Its main technical features include three-proof body design, multifunctional sensing module integration, NFC fast pairing, AI data intelligent filtering, long endurance power management and other links. This device makes up for the shortcomings of existing monitoring devices in environmental adaptability, functional integration and data processing efficiency, significantly improves the work efficiency of field monitoring, reduces labor costs, and provides strong technical support for wildlife protection and ecological monitoring, promoting the development and application of field monitoring equipment technology.

[0008] The technical solution of the present application is a multifunctional intelligent handheld terminal device for wildlife monitoring, which first constructs a terminal system suitable for field environment through hardware configuration, including three-proof body, core processing module, multifunctional sensing module, wireless communication module and endurance module. After device initialization, it is quickly paired with infrared camera through NFC near field communication, realizes parameter configuration and data transmission. In field operation, infrared camera parameter configuration, data collection and preview, geographic location marking and environmental data recording are completed, and the collected data are preliminarily filtered and classified through built-in AI algorithm, structured data report is generated and stored. At the same time, the device has perfect maintenance and endurance management function, supports battery replacement and charging management, and ensures long-term field operation.

[0009] This device improves the efficiency of field monitoring through highly integrated hardware design and intelligent algorithm, and solves the environmental adaptability and single function problem of existing devices through three-proof design and multifunctional module, which can stably and efficiently manage infrared cameras and collect data in complex field environment. The specific steps are as follows:

[0010] (1) Hardware configuration and system initialization of the device.

[0011] In step (1), before starting the field monitoring task, the hardware configuration and system initialization setting of the handheld terminal are completed to build a complete field monitoring terminal system and ensure the normal function of the device.

[0012] The specific steps include:

[0013] (a) Hardware configuration: The device adopts IP68 level waterproof and dustproof design, is equipped with anti-falling rubber edge, is equipped with high-pass QCS6490 main control chip, 6.7 inch sunlight visible touch screen, integrated dual-frequency GPS positioning, laser range finder, thermal imaging auxiliary lens and replaceable sensor interface, supports NFC near field communication, Wi-Fi 6 and Bluetooth 5.3, and is configured with 10000mAh large capacity battery;

[0014] (b) System initialization: The basic parameter configuration such as language, time zone and network mode is completed through the touch screen, and the on-site calibration of GPS positioning, laser ranging and other functions is carried out to ensure the data acquisition accuracy.

[0015] (2) Device pairing and infrared camera parameter configuration.

[0016] In step (2), based on the system initialization completed in step (1), the handheld terminal and the infrared camera are quickly paired, and the infrared camera parameters are configured, and a parameter configuration report is generated.

[0017] The specific steps include:

[0018] (a) Device pairing: turn on the NFC function, and inductively pair with the infrared camera, complete device identification and connection within 30 seconds;

[0019] (b) Parameter configuration: remotely set the shooting mode, sensing sensitivity, trigger interval and other parameters of the infrared camera through the preset template or custom way, and support batch configuration;

[0020] (c) Configuration confirmation: after the parameter configuration is completed, the infrared camera state is queried, the parameter configuration report is generated, and it is ensured that the configuration is accurate and correct.

[0021] (3) Field data acquisition and recording.

[0022] In step (3), based on the parameter configuration completed in step (2), data acquisition and recording are carried out in the field, and the infrared camera stored wild animal activity image and related environmental data are obtained.

[0023] The specific steps include:

[0024] (a) Data acquisition: receive the wild animal activity image data stored by the infrared camera, support on-site preview and selective download;

[0025] (b) Geographical marking: automatically record the current position information, add geographical coordinate label to the infrared camera deployment point and animal activity area;

[0026] (c) Environment recording: collect environmental data such as temperature, humidity and altitude on site through integrated sensors, and store image data in association.

[0027] (4) Data processing and management.

[0028] In step (4), the data collected in step (3) is processed and managed to achieve intelligent filtering, classification, and storage of data, and to generate data reports.

[0029] The specific steps include:

[0030] (a) AI filtering: based on a lightweight CNN model, the image data is intelligently analyzed to automatically identify animal species and distinguish important data from data to be reviewed;

[0031] (b) Data classification: structured classification of data according to time, location, animal species, etc., to generate exportable data reports;

[0032] (c) Local storage: the processed data is stored in the built-in storage or extended TF card of the device, and encryption format is used to ensure data security.

[0033] (5) Device maintenance and endurance management.

[0034] In step (5), the device is maintained and managed for endurance during the entire monitoring process to ensure continuous and stable operation of the device.

[0035] The specific steps include:

[0036] (a) Battery management: real-time display of battery level, support for fast charging mode (30 minutes to 70%) and solar charging supplement;

[0037] (b) State self-check: regular detection of the working state of each module, and sound and light prompts for abnormal conditions (such as sensor failure, insufficient storage);

[0038] (c) Firmware upgrade: support for system firmware upgrade through Wi-Fi or wired mode to extend device functions and fix vulnerabilities.

[0039] (6) Data export and analysis after the completion of the task.

[0040] In step (6), after completing all monitoring tasks, the data stored in the device is exported for subsequent analysis and processing to support wild animal protection and research.

[0041] The specific steps include:

[0042] (a) Data export: through Wi-Fi or wired connection, the data stored in the device is exported to a computer or a cloud server;

[0043] (b) Data analysis: in-depth analysis of the exported data to generate a wild animal activity monitoring report;

[0044] (c) Data application: apply the analysis results to the field of wild animal behavior research, ecological protection decision-making, etc., and provide data support for related work.

[0045] Compared with the prior art, the present application has the following advantages:

[0046] 1. The present application realizes efficient management and parameter configuration of infrared cameras through highly integrated multifunctional hardware and fast pairing technology. The device is equipped with an NFC near-field communication module, and the pairing and parameter setting of a single infrared camera can be completed within 30 seconds. Compared with traditional configuration relying on a notebook computer or a single-function handheld device, the operation time is greatly shortened. At the same time, batch parameter copying is supported, and multiple cameras of the same type can be configured at one time. In large-scale monitoring scenarios such as deserts and protected areas, the efficiency is improved significantly, and the pain points of traditional device configuration complexity and long time consumption are solved.

[0047] 2. The present application adopts professional three-proof design and long endurance scheme, and has strong adaptability to field environment. The device meets the IP68 waterproof and dustproof standard, is equipped with a drop-resistant rubber edge, supports a wide temperature working range of-20℃ to 60℃, and can stably operate in harsh environments such as winter in the northeast tiger protection area (-30℃ extreme working condition) and desert sandstorms. Coupled with a 10000mAh large-capacity battery and solar auxiliary charging function, the endurance time can reach 18 hours, which is much longer than that of traditional ordinary intelligent terminals (5 hours of endurance), and frequent return to the base for charging is not needed, meeting the long-term continuous operation demand in the field, avoiding monitoring interruption caused by environmental restrictions or insufficient endurance.

[0048] 3. The present application realizes efficient processing and accurate management of monitoring data through built-in AI intelligent algorithm and multi-element data association function. The image screening function based on a lightweight CNN model can automatically identify wild animal images and filter invalid data (such as wind-induced movement and light-triggered false alarm), reducing the cost of later manual processing. At the same time, the device is integrated with double-frequency GPS, barometer and laser range finder, which can associate and store data such as geographic coordinates, altitude and monitoring distance with images, forming a structured data set. Compared with the traditional device which can only collect basic images and needs manual supplement of environmental information, the data integrity and usability are greatly improved, providing more comprehensive support for wild animal behavior research.

[0049] 4、The application adopts modular design and adaptive display technology, and considers function expansion and field operation convenience. The device reserves replaceable sensor interfaces, gas detection, temperature and humidity acquisition modules and the like can be added according to monitoring requirements, and the device is suitable for diversified field scenes (such as protected area ecological monitoring and special environment species investigation); the device is equipped with a 6.1-inch 2000 nit peak brightness sunlight screen, the display can be automatically enhanced under strong light, the problem that the screen of the traditional terminal cannot be clearly seen and operation is difficult under strong light in the field is solved, and the device is loaded with a high-pass QCS6490 main control chip to support AI accelerated calculation, so that the smooth running of intelligent functions is ensured, and expansion and practicability are considered.

[0050] 5、In terms of data field preview and real-time management, the application supports instant preview and key marking of infrared camera data. The device establishes stable connection with the infrared camera through Bluetooth 5.2, can view the image content shot by the camera on site, manually marks important data segments (such as animal cub activity and rare species appearance), and does not need to wait for data export before screening; meanwhile, the device has a self-checking function, can monitor battery capacity, sensor working state and storage capacity in real time, and gives an instant sound and light prompt when an abnormality occurs, so that data loss caused by device failure is avoided, and compared with the traditional device mode of “blind sampling and blind storage” and finding problems after the event, the data security and management flexibility are significantly improved. BRIEF DESCRIPTION OF DRAWINGS

[0051] Figure 1 The whole flowchart of the application. DETAILED DESCRIPTION

[0052] In order to enable personnel in the art to better understand the scheme of the embodiments of the application, the embodiments of the application will be further described in detail below in combination with the drawings and embodiments.

[0053] As shown in Figure 1 , the application comprises the following steps:

[0054] 1. Before starting a field monitoring task, the user needs to complete device initialization setting on the touch screen of the multifunctional intelligent handheld terminal, including operation language, monitoring area time zone, network mode (online / offline), and if the network mode is offline, the offline map of the monitoring area is loaded. At the same time, the terminal hardware state is checked to confirm that the IP68 waterproof and dustproof structure is undamaged, the anti-falling rubber edge is attached, and the 10000mAh battery capacity. After the setting is completed, the terminal automatically generates a device initialization report to display the basic parameters and hardware state, so as to ensure that the field operation conditions are met.

[0055] 2. According to the monitoring task requirements, the pairing and parameter configuration of the infrared camera are completed on the handheld terminal. The configuration process is optimized according to the installation position of the infrared camera, the type of the monitored species and the environmental conditions. Specifically, the device NFC pairing, camera parameter setting and configuration verification are included.

[0056] Device NFC pairing: Turn on the NFC function of the handheld terminal, and place the terminal NFC induction area close to the infrared camera pairing interface (distance ≤ 3 cm). The terminal automatically identifies the camera model and establishes a Bluetooth 5.2 connection. If the pairing is successful or fails, a prompt and troubleshooting suggestion will be given.

[0057] Camera parameter setting: Select a template configuration or custom configuration. If monitoring large rare animals such as Siberian tigers, select the large mammal night monitoring template. This template has a high default trigger sensitivity, a 5-second shooting interval, and strong night infrared fill light. If monitoring small birds, set the trigger sensitivity to medium, the shooting interval to 2 seconds, and the infrared fill light to weak. When deploying multiple cameras, save the single camera configuration as a configuration template and synchronize it to other cameras via NFC.

[0058] Configuration verification: After setting the parameters, send a status query instruction to the infrared camera, receive the current parameters feedback from the camera, including shooting mode, remaining power, and storage space. The terminal generates a parameter configuration report. If the parameters do not match, such as the terminal settings and camera feedback are inconsistent, a prompt to resynchronize the parameters will be given.

[0059] 3. Before carrying the handheld terminal to the field monitoring point, the system will perform a device function self-check to ensure the normal operation of the core module. The specific steps are as follows: core module self-check, self-check report generation.

[0060] Core module self-check: The terminal automatically checks the dual-frequency GPS positioning system, laser range finder, thermal imaging auxiliary lens, Bluetooth communication module, and storage module.

[0061] Self-check report generation: After self-checking is completed, the system generates a device self-check report, which lists the status of each module in detail. If an abnormality is found, the system will give a repair suggestion through sound and light prompts.

[0062] 4. After carrying the handheld terminal to the field infrared camera deployment point, perform data collection operations according to the preset process. The specific steps are as follows: establish data connection, image preview and filtered download, and record environmental and geographic information.

[0063] Establish data connection: At the infrared camera, initiate a Bluetooth connection request through the terminal data collection interface. After a successful connection, the terminal automatically reads the image data stored in the camera memory and displays the total data amount.

[0064] Image preview and filtered download: Supports on-site preview of image content, manual marking of images containing wildlife activity, and selection of only marked data or all data for download to avoid invalid data occupying storage (512 GB storage built-in terminal, supports 1 TB TF card expansion).

[0065] Environmental and geographic information record: the terminal automatically obtains the latitude, longitude and altitude of the collection point through dual-frequency GPS and associates it with the downloaded image data; if an external temperature and humidity sensor is connected, real-time collection of on-site temperature and humidity is performed, and the terrain slope is calculated in combination with barometer data, which are stored together in the image data set.

[0066] 5. After data collection is completed, the system performs a self-test on the collected data to ensure data integrity and accuracy. The specific steps are as follows: data integrity check, data accuracy check, and generation of a self-test report.

[0067] Data integrity check: the terminal checks whether the downloaded image data is complete (e.g., whether there are "file corruption" or "data missing"), and if it finds that a certain segment of the image cannot be opened, it prompts "re-download the data for that period".

[0068] Data accuracy check: check whether the geographic information associated with the image is accurate (deviation from the actual monitoring point ≤10m), whether the timestamp is consistent with the camera shooting time, and whether the environmental data is within a reasonable range, such as no abnormal jump in temperature data in low temperature environment.

[0069] Generation of self-test report: after the self-test is completed, the system generates a data collection self-test report to display the data status; if an anomaly is found, such as a 5-minute timestamp deviation, the terminal and camera time are prompted to be synchronized.

[0070] 6. After all the data collection tasks for the field monitoring points are completed, the handheld terminal is taken back to the base or laboratory for data export and subsequent analysis and processing. The specific steps are as follows:

[0071] Data export: select the export method through the terminal interface. When there is a network, select Wi-Fi export to upload the data to the ecological monitoring cloud platform; when there is no network, connect the computer through a USB-C data cable to copy the original image data in JPG and MP4 formats or the structured report data in Excel format, including collection time, location, animal species, and environmental parameters.

[0072] Data storage and analysis: the cloud platform or local analysis software performs statistical analysis on the data, automatically identifies animal species, and calculates species richness and dominant species activity patterns to generate a wild animal monitoring report, providing data support for ecological protection decision-making.

[0073] Through the above steps, the application provides a multifunctional intelligent handheld terminal device for wild animal monitoring, which is adapted to complex field environments such as rain, snow, low temperature and sand through three-proof design, and the operation efficiency is improved through NFC rapid pairing and AI data screening, and the monitoring data value is ensured through multi-dimensional data association, effectively solving the problems of complicated configuration, poor environmental adaptability and low data processing efficiency of traditional devices, and realizing efficient management and accurate data collection of infrared cameras, and providing an efficient and reliable technical solution for wild animal monitoring and ecological protection.

Claims

1. A smart handheld terminal device for wildlife monitoring, characterized in that, A terminal system adapted to the field environment is constructed through hardware configuration; including a rugged body, a core processing module, a multi-functional sensing module, a wireless communication module, and a battery life module; the core processing module, the multi-functional sensing module, the wireless communication module, and the battery life module are housed inside the rugged body; the multi-functional sensing module and the wireless communication module are connected to the core processing module, and the core processing module is connected to the battery life module; After initialization, the core processing module quickly pairs with the infrared camera via NFC near-field communication to achieve parameter configuration and data transmission. During field operations, the core processing module completes infrared camera parameter configuration, data acquisition and preview, geographic location marking, and environmental data recording. The core processing module's built-in AI algorithm performs preliminary screening and classification of the collected data, generates structured data reports, and stores them.

2. The method of using the intelligent handheld terminal device for wildlife monitoring according to claim 1, characterized in that, It includes the following components and operating steps: Step (1) Complete the hardware configuration of the equipment, including the tri-proof body design, core processing module, multi-functional sensing module, wireless communication module and battery life module, to build a complete field monitoring terminal system; Step (2): Initialize the device settings. Configure the basic parameters of language, time zone, and network mode through the touch screen and establish communication pairing between the device and the infrared camera. Step (3), field operation, including infrared camera parameter configuration, data acquisition and preview, geographic location marking and environmental data recording; Step (4), data processing and management: the collected data is initially screened and classified using the built-in AI algorithm, and a structured data report is generated and stored; Step (5) Equipment maintenance and battery life management, supports battery replacement and charging management, and has equipment status self-check and fault prompt functions.

3. The method of using a smart handheld terminal device for wildlife monitoring according to claim 2, characterized in that, In step (1), the hardware configuration includes: (1) Rugged body: It adopts IP68 waterproof and dustproof design, is equipped with shockproof rubber edging, and supports wide temperature working environment from -20℃ to 60℃; (2) Core processing module: equipped with Qualcomm QCS6490 main control chip, supports AI accelerated computing, and features a 6.7-inch touch screen visible in sunlight; (3) Multifunctional sensing module: integrates dual-frequency GPS positioning, laser rangefinder, thermal imaging auxiliary lens and replaceable sensor interface; (4) Wireless communication module: Supports NFC near-field communication, Wi-Fi 6 and Bluetooth 5.3 to achieve fast pairing and data transmission with infrared cameras; (5) Battery life module: Equipped with a 10000mAh high-capacity battery, supporting 27W fast charging and solar-assisted charging, ensuring 18 hours of continuous operation.

4. The method of using a smart handheld terminal device for wildlife monitoring according to claim 2, characterized in that, In step (2), the initialization settings include: (1) Basic parameter configuration: Select the operating language, set the local time zone, and configure the network connection mode via the touch screen; (2) Device pairing: Enable NFC function and perform near field sensing pairing with infrared camera. Device identification and connection will be completed within 30 seconds. (3) System calibration: Perform on-site calibration of GPS positioning and laser ranging functions to ensure data acquisition accuracy.

5. The method of using a smart handheld terminal device for wildlife monitoring according to claim 2, characterized in that, In step (3), the field operations include: (1) Parameter configuration: The shooting mode, sensing sensitivity, and trigger interval parameters of the infrared camera can be remotely set through preset templates or custom methods; (2) Data acquisition: Receives wildlife activity image data stored by infrared cameras, and supports on-site preview and selective download; (3) Geographic tagging: Automatically record the current location information and add geographic coordinate labels to the infrared camera deployment points and animal activity areas; (4) Environmental recording: Collect on-site temperature, humidity and altitude environmental data through integrated sensors and store them in association with image data.

6. The method of using a smart handheld terminal device for wildlife monitoring according to claim 2, characterized in that, In step (4), data processing and management include: (1) AI screening: Based on a lightweight CNN model, intelligent analysis of image data is performed to automatically identify animal species and distinguish important data from data to be reviewed; (2) Data classification: The data is classified in a structured manner according to the dimensions of time, location and animal species, and an exportable data report is generated; (3) Local storage: Supports 512GB built-in storage and TF card expansion, and uses encrypted format to store data to ensure data security.

7. The method of using a smart handheld terminal device for wildlife monitoring according to claim 2, characterized in that, In step (5), equipment maintenance and battery life management include: (1) Battery management: Real-time display of battery level, supports fast charging mode and solar charging supplementation; (2) Status self-check: Regularly check the working status of each module and provide audible and visual prompts for abnormal situations; (3) Firmware upgrade: Supports system firmware upgrades via Wi-Fi or wired connection to expand device functions and fix vulnerabilities.

8. The method of using a smart handheld terminal device for wildlife monitoring according to claim 5, characterized in that, The parameter configuration supports: (1) Templated configuration: Built-in parameter configuration templates for different species and environments, allowing for professional-level settings to be completed with one click; (2) Batch configuration: Parameters of multiple infrared cameras of the same model can be copied simultaneously via NFC to improve deployment efficiency; (3) Remote debugging: Supports remote wake-up, status query and fault diagnosis of infrared cameras through the device.

9. The method of using a smart handheld terminal device for wildlife monitoring according to claim 6, characterized in that, The AI ​​filtering function includes: (1) Species identification: Supports automatic identification of at least 50 common wild animals with an accuracy rate of no less than 92%; (2) Behavioral analysis: make preliminary judgments and mark the animal's activity status, such as stillness, movement, and feeding; (3) Data cleaning: Automatically filter invalid images, including data that is accidentally triggered by wind blowing grass or changes in light.

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