AI park patrol system

Abstract

The invention relates to the technical field of garden patrol systems, and discloses an AI garden patrol system, which comprises an account registration module and a daily suggestion module, the daily suggestion comprises a suggestion list module, a suggestion detail module, a friend sharing module, a patrol image module, a data analysis module, a data detail module, a farming management module, a voice recording module, a farming statistics module and an AI patrol report module. According to the AI park patrol system, omnibearing data of an orchard environment and crop growth are obtained in real time by means of the Internet of Things sensor and the high-definition camera and are uploaded to the intelligent agriculture cloud platform immediately, zero-time-difference information transmission is achieved, the intelligent decision system carries out deep analysis on the collected data every two hours, the fruit tree growth environment is evaluated, and potential problems are alarmed. And for the optimized farming activities, a task clock-in mechanism is issued, the execution process is strictly supervised, the fruit tree response is monitored in real time, the optimization effect is evaluated, and a complete farming management cycle is formed.

Description

Technical Field

[0001] This invention relates to the field of park patrol system technology, specifically an AI park patrol system. Background Technology

[0002] AI-powered park patrol systems are intelligent park management solutions that integrate artificial intelligence, the Internet of Things, and big data technologies. Through automated inspections, real-time monitoring, and intelligent analysis, they significantly improve park operational efficiency and safety. However, existing AI-powered park patrol systems suffer from problems such as slow information updates and inaccurate positioning. Summary of the Invention

[0003] To address the shortcomings of existing technologies, this invention provides an AI-powered park patrol system, which offers the advantages of multifunctional and comprehensive park management, thus solving the problem of imperfections in existing park patrol systems.

[0004] To achieve the above objectives, the present invention provides the following technical solution: an AI park patrol system, comprising two modules: account registration and daily suggestions; the account registration module includes the invention usage module.

[0005] The invention uses the module, which includes the following steps.

[0006] Users can enter the registration process by clicking the "Try it" button;

[0007] During the registration process, users need to provide necessary personal or business information to complete the registration;

[0008] After successful registration, the system will automatically grant the user a 30-day free trial period;

[0009] The registration process includes the following steps:

[0010] Username and password settings: Users enter a custom username and secure password;

[0011] Personal / Company Information: This includes name, contact information, company name (if applicable), etc.

[0012] Verification code verification: Enter the verification code sent by the system to ensure the authenticity of the registration process;

[0013] The free trial includes the following features

[0014] Full functionality available: Within 30 days, users can use all core functions of the system without restrictions;

[0015] Data storage and usage: Data generated during the trial period will be saved so that users can continue to use it when they purchase the full service later;

[0016] The daily suggestions include a suggestion list module, suggestion details module, sharing with friends module, garden inspection image module, data analysis module, data details module, agricultural management module, voice recording module, agricultural statistics module, and AI garden inspection report module.

[0017] Preferably, the suggested list module includes input requirements, query operations, and result display:

[0018] Input requirements

[0019] Start time: Users need to accurately enter the start time.

[0020] End time: Enter the end time, which, together with the start time, determines the query range;

[0021] Query operation

[0022] Time selection methods: Offers multiple time selection methods, such as manual input, calendar selection, etc.

[0023] Confirm Query: After entering the time, the user clicks the "Query" button to execute the operation;

[0024] Results Display

[0025] List format: Displays data within a specified time range in a clear list format;

[0026] Sorting method: Can be sorted according to time sequence;

[0027] Detailed information: Each list item contains the necessary detailed information to meet the user's need for a comprehensive understanding of the data;

[0028] The suggested details module includes weather monitoring and trend forecasting.

[0029] Meteorological monitoring

[0030] Data acquisition: Meteorological data such as temperature, humidity, light intensity, wind speed, wind direction, and rainfall are collected through sensors, weather stations, and other equipment;

[0031] Real-time monitoring: Displaying collected meteorological data to users in real-time or near real-time mode;

[0032] Trend Forecast

[0033] Data analysis: Using data analysis algorithms and models to conduct comprehensive analysis of historical meteorological data and crop growth data;

[0034] Predictive Models: Employing appropriate predictive models, such as time series forecasting and machine learning models, to predict weather trends over a future period.

[0035] Results presentation: The weather trend forecast results are presented to users in a combination of charts (such as line charts, bar charts, etc.) and text descriptions.

[0036] Preferably, the sharing to friends module includes sharing operations, sharing content, and links:

[0037] Share operation

[0038] Trigger sharing: Provide prominent "WeChat Friends" and "Moments" buttons or icons;

[0039] Select who to share with: After clicking, a selection menu will pop up, where you can choose "WeChat Friends" or "Moments";

[0040] Shared content

[0041] Page title and description: Automatically extract the page title and key description as the default sharing text;

[0042] Screenshot: Automatically captures part or all of the current page content as a shareable image;

[0043] Link: A unique link to the generated page, ensuring that the recipient on WeChat can access the full content by clicking the link.

[0044] Preferably, the park inspection image module includes list content and filtering:

[0045] List content

[0046] Recorder Name: Clearly identify the name of each recorder;

[0047] Model and Specifications: Shows the specific model and specifications of the recorder;

[0048] Monitoring indicators: List the plant growth-related indicators that this recorder can monitor, such as temperature, humidity, and light.

[0049] Location: Describe the specific location where the recorder is installed on the plant;

[0050] Recording frequency: Displays the frequency at which the recorder acquires data;

[0051] Status information: Indicates the current working status of the recorder, such as online or offline;

[0052] filter

[0053] Users can filter data based on specific criteria, such as filtering recorders that monitor specific indicators or recorders that are in a faulty state.

[0054] Preferably, the data analysis module includes data acquisition, time selection, line plotting, and axis settings:

[0055] Data Acquisition

[0056] Extract measurement data of temperature, humidity, atmospheric pressure, and light intensity for a specified time period from relevant data sources;

[0057] Time selection

[0058] Users can freely choose the time range for viewing data, including different time periods such as hours, days, weeks, and months;

[0059] Polyline drawing

[0060] Draw polylines of different colors for temperature, humidity, atmospheric pressure, and light intensity;

[0061] The horizontal axis represents time, and the vertical axis represents the corresponding measured value.

[0062] Axis settings

[0063] The horizontal axis is appropriately divided and labeled according to the selected time range;

[0064] The vertical axis is automatically adjusted according to the range of measured values ​​to ensure that the data can be clearly displayed, while also allowing users to manually set the axis range.

[0065] Preferably, the data details module includes data acquisition and data storage:

[0066] Data collection

[0067] Sensor deployment: Real-time monitoring of changes in temperature, humidity, light, and pressure using specialized sensors installed in crop growing areas;

[0068] Data acquisition frequency: Set an appropriate data acquisition frequency to ensure data integrity and accuracy, while avoiding data redundancy;

[0069] Data storage

[0070] Database selection: Use a high-performance database to store large amounts of historical data to ensure data security and stability;

[0071] Data format: Data is stored in a structured manner to facilitate subsequent querying and analysis.

[0072] Preferably, the agricultural management module includes add, delete, query, and modify functions:

[0073] Add features

[0074] Information input: Users can input detailed information about agricultural activities, including the date of the activity, the type of activity (such as sowing, fertilizing, watering, etc.), the types of crops involved, the tools and materials used, and the operators.

[0075] Data validation: Perform basic format and logic validation on the input information to ensure the accuracy of the data;

[0076] Deletion function

[0077] Select to delete: Users can select the agricultural records they want to delete;

[0078] Confirm Deletion: The system will display a confirmation prompt to prevent accidental deletion.

[0079] Query function

[0080] Multiple search criteria: Users can search by date range, activity type, crop type, and other criteria;

[0081] Quick Search: It can quickly locate and display agricultural records that match the query criteria;

[0082] Modify function

[0083] Select Edit: The user selects the agricultural record to be edited;

[0084] Preserve original data: During the modification process, retain a backup of the original data so that it can be recovered in case of errors.

[0085] Preferably, the voice recording module includes voice acquisition, voice recognition, recorded content, and editing and modification:

[0086] Voice collection

[0087] Enable the device's microphone permissions to collect the user's voice in real time;

[0088] Supports clear and accurate voice acquisition across different devices and environments;

[0089] Speech recognition

[0090] It uses advanced speech recognition technology to quickly convert users' speech into text;

[0091] It adapts well to different accents and speaking speeds, improving recognition accuracy;

[0092] Record content

[0093] This includes key information such as the date of agricultural activities, specific procedures, tools and materials used, and crop conditions;

[0094] It allows users to naturally describe complex agricultural situations using voice.

[0095] Editing and modification

[0096] After recognition is complete, users can edit and modify the converted text to ensure the accuracy of the record;

[0097] It provides undo and redo functions for user convenience.

[0098] Preferably, the agricultural statistics module includes data collection, date selection, statistical calculation, and bar chart display:

[0099] Data collection

[0100] Retrieve detailed data on labor costs, plant protection, yield, and irrigation for a specified date range from relevant databases or data sources;

[0101] Ensure the accuracy and completeness of the data;

[0102] Date selection

[0103] Provides a date selection control, allowing users to select a specific date range, such as day, week, month, quarter, or custom time period;

[0104] It supports quick selection of common time periods, such as the past week or the past month.

[0105] Statistical calculation

[0106] For each selected date, calculate the total labor cost, the number of plant protection events, the total yield, and the number or total amount of irrigation.

[0107] The data should be preprocessed and organized appropriately to meet the requirements of the bar chart display.

[0108] Bar chart display

[0109] The horizontal axis represents the date, and the vertical axis represents the corresponding statistical values.

[0110] Each statistical item (labor cost, plant protection record, yield record, irrigation record) is represented by a bar of a different color, with a clear legend.

[0111] The height or length of a bar visually reflects the magnitude of a statistical value.

[0112] Preferably, the AI-powered park patrol report module includes pagination settings, navigation operations, and data loading:

[0113] Pagination settings

[0114] Each page displays a fixed number of reports, and the number of reports per page can usually be customized by the user, such as 10, 20, etc.

[0115] Provide clear page numbering, displaying the current page number and the total number of pages;

[0116] Navigation Operation

[0117] Previous / Next Page buttons: allow users to easily switch between pages;

[0118] First Page / Last Page Buttons: Quickly jump to the first or last page;

[0119] Enter page number to jump: Users can directly enter the page number and jump to the specified page;

[0120] Data loading

[0121] When a user switches pages, the corresponding park patrol report data is loaded quickly and accurately to ensure a timely response.

[0122] In summary, the present invention has at least one of the following beneficial effects:

[0123] This AI-powered orchard patrol system, leveraging IoT sensors and high-definition cameras, acquires comprehensive data on the orchard environment and crop growth in real time. This data is immediately uploaded to the smart agriculture cloud platform, enabling zero-latency information transmission. Every two hours, the intelligent decision-making system conducts in-depth analysis of the collected data, assesses the fruit tree growth environment and identifies potential problems, and assigns tasks based on optimized agricultural activities. This system closely monitors the execution process, monitors the fruit trees' reactions in real time, and evaluates the effectiveness of the optimization, forming a complete agricultural management cycle. Attached Figure Description

[0124] Figure 1 This is a functional structure diagram of the AI ​​park patrol system of the present invention;

[0125] Figure 2 This is a proposed list of module structure diagrams for the present invention;

[0126] Figure 3 This is a schematic diagram of the proposed detailed module structure for this invention;

[0127] Figure 4 This is a structural diagram of the sharing friend module of the present invention;

[0128] Figure 5 This is a structural diagram of the park patrol image module of the present invention.

[0129] Figure 6 This is a structural diagram of the data analysis module of the present invention.

[0130] Figure 7 This is a structural diagram of the data details module of the present invention.

[0131] Figure 8 This is a structural diagram of the agricultural management module of the present invention.

[0132] Figure 9 This is a structural diagram of the voice recording module of the present invention;

[0133] Figure 10 This is a structural diagram of the agricultural statistics module of the present invention;

[0134] Figure 11 This is a structural diagram of the AI ​​park patrol report module of the present invention. Detailed Implementation

[0135] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0136] Please see Figure 1-9 The AI-powered park patrol system includes two modules: account registration and daily suggestions. The account registration module includes an invention and usage module.

[0137] The invention uses the module, which includes the following steps.

[0138] Users can enter the registration process by clicking the "Try it" button;

[0139] During the registration process, users need to provide necessary personal or business information to complete the registration;

[0140] After successful registration, the system will automatically grant the user a 30-day free trial period.

[0141] The registration process includes the following steps:

[0142] Username and password settings: Users enter a custom username and secure password;

[0143] Personal / Company Information: This includes name, contact information, company name (if applicable), etc.

[0144] Verification code verification: Enter the verification code sent by the system to ensure the authenticity of the registration process;

[0145] The free trial includes the following features

[0146] Full functionality available: Within 30 days, users can use all core functions of the system without restrictions;

[0147] Data storage and usage: Data generated during the trial period will be saved so that users can continue to use it when they purchase the full service later;

[0148] The daily suggestions include a suggestion list module, suggestion details module, sharing with friends module, garden inspection image module, data analysis module, data details module, agricultural management module, voice recording module, agricultural statistics module, and AI garden inspection report module.

[0149] (1) The suggestion list module includes input requirements, query operations, and result display:

[0150] Input requirements

[0151] Start time: Users need to accurately enter the start time.

[0152] End time: Enter the end time, which, together with the start time, determines the query range;

[0153] Query operation

[0154] Time selection methods: Offers multiple time selection methods, such as manual input, calendar selection, etc.

[0155] Confirm Query: After the user completes the time input, click the "Query" button to execute the operation;

[0156] Results Display

[0157] List format: Displays data within a specified time range in a clear list format;

[0158] Sorting method: Can be sorted according to time sequence;

[0159] Detailed information: Each list item contains the necessary detailed information to meet the user's need for a comprehensive understanding of the data;

[0160] This feature allows users to query relevant list information based on a specified time range.

[0161] (2) The suggested details module includes meteorological monitoring and trend forecasting:

[0162] Meteorological monitoring

[0163] Data acquisition: Meteorological data such as temperature, humidity, light intensity, wind speed, wind direction, and rainfall are collected through sensors, weather stations, and other equipment;

[0164] Real-time monitoring: Displaying collected meteorological data to users in real-time or near real-time mode;

[0165] Trend Forecast

[0166] Data analysis: Using data analysis algorithms and models to conduct comprehensive analysis of historical meteorological data and crop growth data;

[0167] Predictive Models: Employing appropriate predictive models, such as time series forecasting and machine learning models, to predict weather trends over a future period.

[0168] Results presentation: The weather trend forecast results are presented to users in a combination of charts (such as line charts, bar charts, etc.) and text descriptions.

[0169] This function monitors meteorological factors that affect crop growth and makes trend predictions based on the monitoring data.

[0170] (3) The Share with Friends module includes sharing operations, sharing content, and links:

[0171] Share operation

[0172] Trigger sharing: Provide prominent "WeChat Friends" and "Moments" buttons or icons;

[0173] Select who to share with: After clicking, a selection menu will pop up, where you can choose "WeChat Friends" or "Moments";

[0174] Shared content

[0175] Page title and description: Automatically extract the page title and key description as the default sharing text;

[0176] Screenshot: Automatically captures part or all of the current page content as a shareable image;

[0177] Link: A unique link to the generated page, ensuring that the recipient on WeChat can access the full content by clicking the link.

[0178] This feature allows users to share relevant content with WeChat friends or Moments.

[0179] (4) The park tour image module includes list content and filtering:

[0180] List content

[0181] Recorder Name: Clearly identify the name of each recorder;

[0182] Model and Specifications: Shows the specific model and specifications of the recorder;

[0183] Monitoring indicators: List the plant growth-related indicators that this recorder can monitor, such as temperature, humidity, and light.

[0184] Location: Describe the specific location where the recorder is installed on the plant;

[0185] Recording frequency: Displays the frequency at which the recorder acquires data;

[0186] Status information: Indicates the current working status of the recorder, such as online or offline;

[0187] filter

[0188] Users can filter data based on specific criteria, such as filtering recorders that monitor specific indicators or recorders that are in a faulty state.

[0189] This feature displays a list of information related to the plant growth recorder.

[0190] (5) The data analysis module includes data acquisition, time selection, line plotting, and axis settings:

[0191] Data Acquisition

[0192] Extract measurement data of temperature, humidity, atmospheric pressure, and light intensity for a specified time period from relevant data sources;

[0193] Time selection

[0194] Users can freely choose the time range for viewing data, including different time periods such as hours, days, weeks, and months;

[0195] Polyline drawing

[0196] Draw polylines of different colors for temperature, humidity, atmospheric pressure, and light intensity;

[0197] The horizontal axis represents time, and the vertical axis represents the corresponding measured value.

[0198] Axis settings

[0199] The horizontal axis is appropriately divided and labeled according to the selected time range;

[0200] The vertical axis is automatically adjusted according to the range of measured values ​​to ensure that the data can be clearly displayed, while also allowing users to manually set the axis range.

[0201] This feature displays changes in temperature, humidity, atmospheric pressure, and light intensity in the form of a line graph.

[0202] (6) The data details module includes data acquisition and data storage:

[0203] Data collection

[0204] Sensor deployment: Real-time monitoring of changes in temperature, humidity, light, and pressure using specialized sensors installed in crop growing areas;

[0205] Data acquisition frequency: Set an appropriate data acquisition frequency to ensure data integrity and accuracy, while avoiding data redundancy;

[0206] Data storage

[0207] Database selection: Use a high-performance database to store large amounts of historical data to ensure data security and stability;

[0208] Data format: Data is stored in a structured manner to facilitate subsequent querying and analysis.

[0209] The system can continuously collect and store data on temperature, humidity, light, and pressure in the crop growth environment, forming historical records.

[0210] (7) The agricultural management module includes add, delete, query, and modify functions:

[0211] Add features

[0212] Information input: Users can input detailed information about agricultural activities, including the date of the activity, the type of activity (such as sowing, fertilizing, watering, etc.), the types of crops involved, the tools and materials used, and the operators.

[0213] Data validation: Perform basic format and logic validation on the input information to ensure the accuracy of the data;

[0214] Deletion function

[0215] Select to delete: Users can select the agricultural records they want to delete;

[0216] Confirm Deletion: The system will display a confirmation prompt to prevent accidental deletion.

[0217] Query function

[0218] Multiple search criteria: Users can search by date range, activity type, crop type, and other criteria;

[0219] Quick Search: It can quickly locate and display agricultural records that match the query criteria;

[0220] Modify function

[0221] Select Edit: The user selects the agricultural record to be edited;

[0222] Preserve original data: During the modification process, retain a backup of the original data so that it can be recovered in case of errors.

[0223] This function allows users to add, delete, query, and modify agricultural records.

[0224] (8) The voice recording module includes voice acquisition, voice recognition, recorded content, and editing and modification:

[0225] Voice collection

[0226] Enable the device's microphone permissions to collect the user's voice in real time;

[0227] Supports clear and accurate voice acquisition across different devices and environments;

[0228] Speech recognition

[0229] It uses advanced speech recognition technology to quickly convert users' speech into text;

[0230] It adapts well to different accents and speaking speeds, improving recognition accuracy;

[0231] Record content

[0232] This includes key information such as the date of agricultural activities, specific procedures, tools and materials used, and crop conditions;

[0233] It allows users to naturally describe complex agricultural situations using voice.

[0234] Editing and modification

[0235] After recognition is complete, users can edit and modify the converted text to ensure the accuracy of the record;

[0236] It provides undo and redo functions for user convenience.

[0237] This feature allows users to create and record agricultural management information via voice input.

[0238] (9) The agricultural statistics module includes data collection, date selection, statistical calculation, and bar chart display:

[0239] Data collection

[0240] Retrieve detailed data on labor costs, plant protection, yield, and irrigation for a specified date range from relevant databases or data sources;

[0241] Ensure the accuracy and completeness of the data;

[0242] Date selection

[0243] Provides a date selection control, allowing users to select a specific date range, such as day, week, month, quarter, or custom time period;

[0244] It supports quick selection of common time periods, such as the past week or the past month.

[0245] Statistical calculation

[0246] For each selected date, calculate the total labor cost, the number of plant protection events, the total yield, and the number or total amount of irrigation.

[0247] The data should be preprocessed and organized appropriately to meet the requirements of the bar chart display.

[0248] Bar chart display

[0249] The horizontal axis represents the date, and the vertical axis represents the corresponding statistical values.

[0250] Each statistical item (labor cost, plant protection record, yield record, irrigation record) is represented by a bar of a different color, with a clear legend.

[0251] The height or length of a bar visually reflects the magnitude of a statistical value.

[0252] This feature displays statistics on labor costs, plant protection records, yield records, and irrigation records in the form of bar charts, organized by date.

[0253] (10) The AI-powered park patrol report module includes pagination settings, navigation operations, and data loading:

[0254] Pagination settings

[0255] Each page displays a fixed number of reports, and the number of reports per page can usually be customized by the user, such as 10, 20, etc.

[0256] Provide clear page numbering, displaying the current page number and the total number of pages;

[0257] Navigation Operation

[0258] Previous / Next Page buttons: allow users to easily switch between pages;

[0259] First Page / Last Page Buttons: Quickly jump to the first or last page;

[0260] Enter page number to jump: Users can directly enter the page number and jump to the specified page;

[0261] Data loading

[0262] When a user switches pages, the corresponding park patrol report data is loaded quickly and accurately to ensure a timely response.

[0263] This feature displays crop inspection report data in paginated format for easier browsing and management by users.

[0264] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. An AI-powered park patrol system, characterized in that: It includes two modules: account registration and daily suggestions. The account registration module includes the invention usage module. The invention uses the module, which includes the following steps. Users can enter the registration process by clicking the "Try it" button; During the registration process, users need to provide necessary personal or business information to complete the registration; After successful registration, the system will automatically grant the user a 30-day free trial period. The registration process includes the following steps: Username and password settings: Users enter a custom username and secure password; Personal / Company Information: This includes name, contact information, company name (if applicable), etc. Verification code verification: Enter the verification code sent by the system to ensure the authenticity of the registration process; The free trial includes the following features Full functionality available: Within 30 days, users can use all core functions of the system without restrictions; Data storage and usage: Data generated during the trial period will be saved so that users can continue to use it when they purchase the full service later; The daily suggestions include a suggestion list module, suggestion details module, sharing with friends module, garden inspection image module, data analysis module, data details module, agricultural management module, voice recording module, agricultural statistics module, and AI garden inspection report module.

2. The AI ​​park patrol system according to claim 1, characterized in that, The suggestion list module includes input requirements, query operations, and result display: Input requirements Start time: Users need to accurately enter the start time. End time: Enter the end time, which, together with the start time, determines the query range; Query operation Time selection methods: Offers multiple time selection methods, such as manual input, calendar selection, etc. Confirm Query: After the user completes the time input, click the "Query" button to execute the operation; Results Display List format: Displays data within a specified time range in a clear list format; Sorting method: Can be sorted according to time sequence; Detailed information: Each list item contains the necessary detailed information to meet the user's need for a comprehensive understanding of the data; The suggested details module includes weather monitoring and trend forecasting. Meteorological monitoring Data acquisition: Meteorological data such as temperature, humidity, light intensity, wind speed, wind direction, and rainfall are collected through sensors, weather stations, and other equipment; Real-time monitoring: Displaying collected meteorological data to users in real-time or near real-time mode; Trend Forecast Data analysis: Using data analysis algorithms and models to conduct comprehensive analysis of historical meteorological data and crop growth data; Predictive Models: Employing appropriate predictive models, such as time series forecasting and machine learning models, to predict weather trends over a future period. Results presentation: The weather trend forecast results are presented to users in a combination of charts (such as line charts, bar charts, etc.) and text descriptions.

3. The AI ​​park patrol system according to claim 1, characterized in that, The "Share with Friends" module includes sharing options, sharing content, and links. Share operation Trigger sharing: Provide prominent "WeChat Friends" and "Moments" buttons or icons; Select who to share with: After clicking, a selection menu will pop up, where you can choose "WeChat Friends" or "Moments"; Shared content Page title and description: Automatically extract the page title and key description as the default sharing text; Screenshot: Automatically captures part or all of the current page content as a shareable image; Link: A unique link to the generated page, ensuring that the recipient on WeChat can access the full content by clicking the link.

4. The AI ​​park patrol system according to claim 1, characterized in that, The park tour image module includes list content and filtering: List content Recorder Name: Clearly identify the name of each recorder; Model and Specifications: Shows the specific model and specifications of the recorder; Monitoring indicators: List the plant growth-related indicators that this recorder can monitor, such as temperature, humidity, and light. Location: Describe the specific location where the recorder is installed on the plant; Recording frequency: Displays the frequency at which the recorder acquires data; Status information: Indicates the current working status of the recorder, such as online or offline; filter Users can filter data based on specific criteria, such as filtering recorders that monitor specific indicators or recorders that are in a faulty state.

5. The AI ​​park patrol system according to claim 1, characterized in that, The data analysis module includes data acquisition, time selection, line plotting, and axis settings: Data Acquisition Extract measurement data of temperature, humidity, atmospheric pressure, and light intensity for a specified time period from relevant data sources; Time selection Users can freely choose the time range for viewing data, including different time periods such as hours, days, weeks, and months; Polyline drawing Draw polylines of different colors for temperature, humidity, atmospheric pressure, and light intensity; The horizontal axis represents time, and the vertical axis represents the corresponding measured value. Axis settings The horizontal axis is appropriately divided and labeled according to the selected time range; The vertical axis is automatically adjusted according to the range of measured values ​​to ensure that the data can be clearly displayed, while also allowing users to manually set the axis range.

6. The AI ​​park patrol system according to claim 1, characterized in that, The data details module includes data acquisition and data storage: Data collection Sensor deployment: Real-time monitoring of changes in temperature, humidity, light, and pressure using specialized sensors installed in crop growing areas; Data acquisition frequency: Set an appropriate data acquisition frequency to ensure data integrity and accuracy, while avoiding data redundancy; Data storage Database selection: Use a high-performance database to store large amounts of historical data to ensure data security and stability; Data format: Data is stored in a structured manner to facilitate subsequent querying and analysis.

7. The AI ​​park patrol system according to claim 1, characterized in that, The agricultural management module includes functions for adding, deleting, querying, and modifying agricultural data. Add features Information input: Users can input detailed information about agricultural activities, including the date of the activity, the type of activity (such as sowing, fertilizing, watering, etc.), the types of crops involved, the tools and materials used, and the operators. Data validation: Perform basic format and logic validation on the input information to ensure the accuracy of the data; Deletion function Select to delete: Users can select the agricultural records they want to delete; Confirm Deletion: The system will display a confirmation prompt to prevent accidental deletion. Query function Multiple search criteria: Users can search by date range, activity type, crop type, and other criteria; Quick Search: It can quickly locate and display agricultural records that match the query criteria; Modify function Select Edit: The user selects the agricultural record to be edited; Preserve original data: During the modification process, retain a backup of the original data so that it can be recovered in case of errors.

8. The AI ​​park patrol system according to claim 1, characterized in that, The voice recording module includes voice acquisition, voice recognition, recorded content, and editing and modification: Voice collection Enable the device's microphone permissions to collect the user's voice in real time; Supports clear and accurate voice acquisition across different devices and environments; Speech recognition It uses advanced speech recognition technology to quickly convert users' speech into text; It adapts well to different accents and speaking speeds, improving recognition accuracy; Record content This includes key information such as the date of agricultural activities, specific procedures, tools and materials used, and crop conditions; It allows users to naturally describe complex agricultural situations using voice. Editing and modification After recognition is complete, users can edit and modify the converted text to ensure the accuracy of the record; It provides undo and redo functions for user convenience.

9. The AI ​​park patrol system according to claim 1, characterized in that, The agricultural statistics module includes data collection, date selection, statistical calculation, and bar chart display: Data collection Retrieve detailed data on labor costs, plant protection, yield, and irrigation for a specified date range from relevant databases or data sources; Ensure the accuracy and completeness of the data; Date selection Provides a date selection control, allowing users to select a specific date range, such as day, week, month, quarter, or custom time period; It supports quick selection of common time periods, such as the past week or the past month. Statistical calculation For each selected date, calculate the total labor cost, the number of plant protection events, the total yield, and the number or total amount of irrigation. The data should be preprocessed and organized appropriately to meet the requirements of the bar chart display. Bar chart display The horizontal axis represents the date, and the vertical axis represents the corresponding statistical values. Each statistical item (labor cost, plant protection record, yield record, irrigation record) is represented by a bar of a different color, with a clear legend. The height or length of a bar visually reflects the magnitude of a statistical value.

10. The AI ​​park patrol system according to claim 1, characterized in that, The AI-powered park inspection report module includes pagination settings, navigation options, and data loading: Pagination settings Each page displays a fixed number of reports, and the number of reports per page can usually be customized by the user, such as 10, 20, etc. Provide clear page numbering, displaying the current page number and the total number of pages; Navigation Operation Previous / Next Page buttons: allow users to easily switch between pages; First Page / Last Page Buttons: Quickly jump to the first or last page; Enter page number to jump: Users can directly enter the page number and jump to the specified page; Data loading When a user switches pages, the corresponding park patrol report data is loaded quickly and accurately to ensure a timely response.

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