CN117789426A - Shipborne UAV operation health status early warning and monitoring system - Google Patents

Abstract

The invention relates to the technical field of shipborne unmanned aerial vehicles, and discloses a shipborne unmanned aerial vehicle running health state early warning monitoring system, which comprises a sensor module, a control module and a control module, wherein the sensor module is used for acquiring various running data of the shipborne unmanned aerial vehicle, including but not limited to flight attitude, heading, altitude, speed, battery state and engine state; the control terminal is used for monitoring the unmanned aerial vehicle in real time and controlling the take-off and landing of the unmanned aerial vehicle; the data processing module is used for effectively processing and utilizing the data of the unmanned aerial vehicle, providing accurate information for a user and realizing early warning and fault diagnosis functions; and an early warning judging module. Through the cooperation of the state feedback and adjustment module and the early warning output module, the operation condition of the unmanned aerial vehicle can be monitored in real time and corresponding adjustment can be carried out. The unmanned aerial vehicle system not only improves the operation efficiency and the safety of the unmanned aerial vehicle, but also enables early warning information to be more accurate and timely, and greatly reduces risks caused by faults of the unmanned aerial vehicle.

Description

Shipborne UAV operation health status early warning and monitoring system

Technical field

The invention relates to the technical field of ship-borne unmanned aerial vehicles, specifically to a ship-borne unmanned aerial vehicle operating health status early warning and monitoring system.

Background technique

The shipborne UAV operating health status early warning and monitoring system is a system for real-time monitoring, analysis and early warning of the operating status of shipborne UAVs. Its main purpose is to collect, process and analyze UAV-related data. , promptly detect abnormal situations in the operation of the drone, thereby ensuring the safe operation of the drone and effective execution of tasks.

Most of the ship-borne UAV operating health status early warning and monitoring systems can only perform simple monitoring of the ship-borne UAV when monitoring the operating status of the ship-borne UAV in real time. It is difficult to monitor the ship-borne UAV based on the environment or other factors. The human and machine are adjusted, and a shipborne UAV operating health status early warning and monitoring system is provided for this purpose.

Contents of the invention

In view of the shortcomings of the prior art, the present invention provides a shipborne UAV operation health status early warning monitoring system, which solves the problem that it is difficult to adjust the shipborne UAV according to the environment or other factors.

In order to achieve the above objectives, the present invention is realized through the following technical solutions: a ship-borne UAV operating health status early warning and monitoring system, including a sensor module for acquiring various operating data of the ship-borne UAV, including but not limited to flight attitude , heading, altitude, speed, battery status, engine status;

Control terminal, used for real-time monitoring of drones and controlling the takeoff and landing of drones;

The data processing module is used for the system to effectively process and utilize drone data, provide users with accurate information, and implement early warning and fault diagnosis functions;

The early warning judgment module is used to issue early warnings when problems or potential risks occur, thereby reducing the possibility of accidents and improving the safety and reliability of the system;

The early warning output module is used to ensure that early warning information can be correctly and timely communicated to users or other systems, thereby allowing necessary responses or operations;

The status feedback and adjustment module is used to receive information feedback from the early warning output and feedback stages, and then adjust the system or take corresponding measures based on the feedback information to ensure the safe flight of the drone;

The data storage module is used to ensure that the operating data of the UAV is correctly recorded and saved, thereby supporting the normal operation and decision-making of the UAV system;

The threshold setting module is used to ensure that the system can generate early warning signals according to the set thresholds, so as to detect possible problems in advance and take corresponding measures;

The user interface module is used to enable users to effectively use and control the shipborne drone operation health status early warning and monitoring system to achieve the best early warning and fault handling effects.

Preferably, the sensor module includes:

Inertial measurement unit, used to measure the acceleration and angular velocity of the drone on three axes and to measure the geomagnetic field to help determine the direction of the drone;

Global positioning unit, used to obtain the position, speed and time information of the drone;

Meteorological sensing unit for measuring atmospheric pressure, ambient humidity and ambient temperature;

The visual sensing unit is used to obtain image or video data and support visual navigation and obstacle detection functions.

Preferably, the data processing module includes:

The data acquisition unit is responsible for collecting raw data from the sensor module and performing preliminary data preprocessing and integration;

Data cleaning and preprocessing unit, used to perform denoising, compensation, and calibration preprocessing operations on the collected raw data to ensure data quality and accuracy;

The feature extraction and selection unit is used to extract relevant features from the preprocessed data and select features based on them for subsequent status analysis and early warning determination;

The data analysis unit is used to analyze data to identify abnormal patterns and predict system state changes;

The data conversion and output unit is used to convert the processed data into a format suitable for output, graphic display, alarm information output, and status update.

Preferably, the early warning judgment unit includes:

The status monitoring unit is used to monitor the real-time values of various parameters and indicators of the system and continuously monitor the system status;

The threshold setting unit is used to set the threshold of each parameter to determine whether it exceeds the normal range and trigger an early warning;

An anomaly detection unit is used to detect anomalies in the monitored data and identify irregular patterns or anomalies;

The risk assessment unit is used to comprehensively consider the impact range of the changing trends of various parameters and conduct risk assessment on the current state of the system;

The warning output unit is used to output corresponding warning information, such as sound or visual alarm, text information output according to the abnormal situation detected;

The early warning level classification unit is the same as dividing the early warning information into different levels according to the severity of the system status, so that operators and monitoring systems can take corresponding countermeasures.

Preferably, the early warning output module includes:

The early warning information generation unit is used to generate corresponding early warning information content, text description, and graphic display based on the detected abnormal conditions and early warning levels;

The sound alarm unit is used to trigger the sound alarm device when the system detects an abnormal situation and issue an alarm to attract the operator's attention;

The visual alarm unit displays early warning information to operators through screen displays and indicator lights so that they can take timely action;

Remote notification unit, used to send early warning information to the remote monitoring center or other related systems to achieve remote monitoring and response;

The alarm recording unit is used to record the time, content, and triggering cause of the warning information for subsequent system analysis and troubleshooting.

Preferably, the threshold setting module includes:

The threshold storage unit is used to store the threshold settings of various parameters to ensure that the system can quickly access and use these thresholds during runtime;

The threshold calibration unit is used for regular calibration based on the actual situation to ensure that the set threshold is consistent with the actual operating status of the system;

The dynamic threshold adjustment unit dynamically adjusts the threshold according to changes in system operating status to adapt to different working environments and conditions;

The threshold verification unit is the same as verifying the threshold after setting it to ensure that the set threshold can effectively reflect the normal operating range of the system and accurately trigger the early warning.

Preferably, the state feedback and adjustment module includes:

The status feedback interface unit is used to receive status feedback information from each subsystem or sensor, including performance parameters, operating status, and fault information;

The data analysis and processing unit is used to analyze and process the received status feedback information, extract useful information and perform necessary data conversion;

The status evaluation and analysis unit is used to evaluate and analyze system status feedback information, determine whether the system is in normal working condition, and identify potential problems and risks;

The adjustment strategy generation unit is used to generate system adjustment strategies and plans based on the status assessment results, including parameter adjustment and control instruction issuance;

The state adjustment execution unit is used to execute the generated adjustment strategy and issue adjustment instructions to various components of the system to optimize the performance and stability of the system;

The feedback confirmation unit is used to confirm the system's response to the adjustment instructions, verify the effect of the adjustment, and feed back the adjusted status feedback information to the status feedback interface.

Preferably, the user interface module includes:

Data and status display unit, used to display the data monitored by the system and the current operating status of the system;

The instruction generation unit is used to generate corresponding control instructions based on the instructions or parameters input by the user in the user input interface to control the operation and behavior of the system;

User feedback unit, used to feedback the results of the system executing commands to the user, including operation success prompts, warning messages, and error prompts;

The user rights management unit is used to manage user login, rights allocation, identity verification and other functions to ensure the security and controllability of the system.

Preferably, the data storage module includes:

Data storage unit, a component used to actually store data, takes the form of database, file storage, etc., and is responsible for the persistent storage of data;

The data retrieval and query unit is used to provide query and retrieval functions for stored data, so that users can easily obtain the required data;

Data backup and recovery unit, used to back up data regularly and restore data when necessary to ensure data security and reliability;

The data security and permission control unit is used to manage data access rights to ensure that only authorized users can access and modify data. It is also responsible for data encryption and security protection.

Preferably, the control terminal and the sensor module output ends are both connected to the data processing module input end, the output processing module output end is connected to the early warning determination module input end, the early warning determination module output end is respectively connected to the early warning output module and the state feedback and adjustment module input end, the early warning output module output end is connected to the state feedback and adjustment module input end, the state feedback and adjustment module output end is connected to the data storage module, the user interface module, the state feedback and adjustment module, the data storage module and the control terminal are connected, the threshold setting module input end is connected to the user interface module output end, and the threshold setting module output end is connected to the early warning determination module input end.

Working principle: The shipborne UAV collects various data during the flight process through the sensors it carries. These data are transmitted to the data processing module through the control terminal. The data processing module receives the data stream from the UAV and processes and analyzes it in real time. After data processing, the data will be sent to the early warning judgment module for threshold analysis. The threshold is set by the operator according to specific needs. Once an abnormality is found, the early warning judgment module will trigger the corresponding early warning signal. After receiving the early warning signal, the early warning output module will pass the early warning information to the user interface module and notify the relevant personnel to control the control terminal to adjust the flight plan. The data storage module is responsible for storing and managing the processed data for subsequent historical data query, analysis and report generation.

The invention provides a shipborne UAV operating health status early warning and monitoring system. It has the following beneficial effects:

1. The present invention can monitor the operation status of the drone in real time and make corresponding adjustments through the cooperation of the state feedback and adjustment module and the early warning output module. This not only improves the operation efficiency and safety of the drone, but also makes the early warning information more accurate and timely, greatly reducing the risk caused by drone failure.

2. Through the cooperation of the threshold setting module, the data storage module and the user interface module, the present invention allows users to set system parameters more flexibly, conveniently query and download historical data, improves user experience, and can better meet the needs of different users. need.

Description of drawings

Figure 1 is a flow chart of the present invention;

Figure 2 is a schematic structural diagram of the sensor module of the present invention;

Figure 3 is a schematic structural diagram of the data processing module of the present invention;

FIG4 is a schematic diagram of the structure of the early warning judgment module of the present invention;

FIG5 is a schematic diagram of the structure of the early warning output module of the present invention;

Figure 6 is a schematic structural diagram of the threshold setting module of the present invention;

Figure 7 is a schematic structural diagram of the status feedback and adjustment module of the present invention;

FIG8 is a schematic diagram of the structure of a user module of the present invention;

Figure 9 is a schematic structural diagram of the data storage module of the present invention.

Detailed ways

The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

Example:

Please refer to the accompanying drawing 1. An embodiment of the present invention provides a ship-borne UAV operating health status early warning and monitoring system, including a sensor module for acquiring various operating data of the ship-borne UAV, including but not limited to flight attitude, heading, Altitude, speed, battery status, engine status;

The control terminal is used to monitor the drone in real time and control the takeoff and landing of the drone, as well as adjust the flight height and speed of the drone in a timely manner;

The data processing module is used for the system to effectively process and utilize drone data, provide users with accurate information, and implement early warning and fault diagnosis functions to ensure that the system can effectively process and utilize drone data;

The early warning judgment module is used to issue early warnings when problems or potential risks occur, thereby reducing the possibility of accidents and improving the safety and reliability of the system;

The early warning output module is used to ensure that early warning information can be correctly and timely communicated to users or other systems, thereby allowing necessary responses or operations to ensure that early warnings are issued in a timely manner when problems or potential risks occur;

The status feedback and adjustment module is used to receive information feedback from the early warning output and feedback stages, and then adjust the system or take corresponding measures based on the feedback information to ensure the safe flight of the drone, and to detect system problems in a timely manner and take appropriate measures. Adjust measures to ensure safe operation and stable performance of the system;

The data storage module is used to ensure that the operating data of the drone is correctly recorded and saved, thereby supporting the normal operation and decision-making of the drone system and ensuring that the operating data of the drone is correctly recorded and saved;

The threshold setting module is used to ensure that the system can generate early warning signals according to the set thresholds, so as to detect possible problems in advance and take corresponding measures, which increases the early detection of possible problems and improves the safety of the drone;

The user interface module is used to enable users to effectively use and control the shipborne drone operation health status early warning and monitoring system to achieve the best early warning and fault handling effects, mainly to improve user experience.

Please refer to Figure 2. The sensor module includes:

The inertial measurement unit is used to measure the acceleration and angular velocity of the drone on three axes and to measure the geomagnetic field to help determine the direction of the drone. The accelerometer, gyroscope, and magnetometer are used to determine the direction of the drone. Three axes for monitoring, monitoring the physical status of the drone and surrounding conditions;

Global positioning unit, used to obtain the position, speed and time information of the drone, and monitor the position and speed of the drone;

The meteorological sensing unit is used to measure atmospheric pressure, ambient humidity and ambient temperature. It measures through the cooperation of barometer, temperature sensor and humidity sensor to monitor the environmental conditions around the drone;

The visual sensing unit is used to acquire image or video data and supports visual navigation and obstacle detection functions. The visual sensing unit is equipped with multiple high-definition cameras to better acquire images around the drone. It is convenient to transmit the environment where the drone is located to the data processing module and reduce the judgment errors of the data processing module.

Please refer to Figure 3. The data processing module includes:

The data acquisition unit is responsible for collecting raw data from the sensor module and performing preliminary data preprocessing and integration. Through the work of the data acquisition unit, various operating parameters of the shipborne drone can be obtained in a timely and accurate manner, providing a reliable data basis for subsequent health status monitoring and early warning systems;

The data cleaning and preprocessing unit is used to perform denoising, compensation, and calibration preprocessing operations on the collected raw data to ensure data quality and accuracy. The data cleaning and preprocessing unit can provide subsequent data analysis and health status early warning. The system provides a high-quality, reliable data basis, thereby improving the accuracy and reliability of the monitoring system;

The feature extraction and selection unit is used to extract relevant features from the pre-processed data and select features based on them for subsequent status analysis and early warning determination to reduce errors in early warning determination;

The data analysis unit is used to analyze data to identify abnormal patterns and predict system state changes, so as to accurately detect early warnings;

The data conversion and output unit is used to convert the processed data into a format suitable for output, graphic display, alarm information output, and status update to facilitate operators to better understand the warning status.

Please refer to Figure 4. The early warning judgment unit includes:

The status monitoring unit is used to monitor the real-time values of various parameters and indicators of the system, continuously monitor the system status, and provide prompt prompts when an early warning occurs;

The threshold setting unit is used to set the threshold of various parameters to determine whether it exceeds the normal range and trigger an early warning to improve the safety of the drone;

Anomaly detection unit is used to detect abnormalities in the monitored data, identify irregular patterns or abnormal situations, and reduce the occurrence of misjudgments;

The risk assessment unit is used to comprehensively consider the scope of influence of the changing trends of various parameters, conduct a risk assessment on the current state of the system, and make corresponding adjustments to the flight state of the drone based on the assessment;

The early warning output unit outputs corresponding early warning information, sound or visual alarms, and text information output based on the detected abnormal conditions to better remind operators;

The early warning level division unit is the same as dividing the early warning information into different levels according to the severity of the system status, so that operators and monitoring systems can take corresponding countermeasures.

Please refer to Figure 5. The early warning output module includes:

The early warning information generation unit is used to generate corresponding early warning information content, text description, and graphic display based on the detected abnormal conditions and early warning levels, so as to facilitate the understanding of operators;

The sound alarm unit is used to trigger the sound alarm device when the system detects an abnormal situation and issue an alarm to attract the attention of the operator, so that the operator can find and solve the problem as soon as possible;

The visual alarm unit displays early warning information to operators through screen displays and indicator lights so that they can take timely action and adjust the status of the drone;

A remote notification unit is used to send early warning information to a remote monitoring center or other related systems to achieve remote monitoring and response and increase the range of early warning information reception;

The alarm recording unit is used to record the time, content, and triggering reasons of early warning information for subsequent system analysis and troubleshooting to prevent similar situations from occurring next time.

Please refer to Figure 6. The threshold setting module includes:

The threshold storage unit is used to store the threshold settings of various parameters to ensure that the system can quickly access and use these thresholds during operation, reducing problems caused by the inability to read the thresholds;

The threshold calibration unit is used for regular calibration based on the actual situation to ensure that the set threshold is consistent with the actual operating status of the system and reduce threshold error reports;

Dynamic threshold adjustment unit, dynamically adjusts the threshold according to the changes in the system operation status to adapt to different working environments and conditions, and facilitates the adjustment of the threshold according to the surrounding environment;

The threshold verification unit is the same as verifying the threshold after setting it to ensure that the set threshold can effectively reflect the normal operating range of the system and accurately trigger early warning, reducing alarms caused by the inability to verify the threshold. .

Please refer to Figure 7, the state feedback and adjustment module includes:

The status feedback interface unit is used to receive status feedback information from each subsystem or sensor, including performance parameters, operating status, and fault information, and to filter the received status feedback information;

The data analysis and processing unit is used to analyze and process the received status feedback information, extract useful information and perform necessary data conversion to facilitate subsequent evaluation and analysis;

The status evaluation and analysis unit is used to evaluate and analyze system status feedback information, determine whether the system is in normal working condition, identify potential problems and risks, and reduce potential problems and risks;

The adjustment strategy generation unit is used to generate system adjustment strategies and plans based on the status assessment results, including parameter adjustment and control instruction issuance;

The state adjustment execution unit is used to execute the generated adjustment strategy and issue adjustment instructions to various components of the system to optimize the performance and stability of the system;

The feedback confirmation unit is used to confirm the system's response to adjustment instructions, verify the effect of adjustment, and feed back the adjusted status feedback information to the status feedback interface to ensure safe operation and stable performance of the system.

Please refer to Figure 8. The user interface module includes:

The data and status display unit is used to display the data monitored by the system and the current operating status of the system, making it easier for operators to view it better;

The instruction production unit is used to generate corresponding control instructions based on the instructions or parameters input by the user in the user input interface, and control the operation and behavior of the system in the form of buttons, text boxes, and drop-down menus;

The user feedback unit is used to feed back to the user the results of system execution of commands, including operation success prompts, warning messages, and error prompts, so that operators can understand the output instructions;

The user rights management unit is used to manage user login, rights allocation, identity authentication and other functions to ensure the security and controllability of the system and reduce unnecessary security risks.

Please refer to FIG. 9 , the data storage module includes:

The data storage unit is a component used to actually store data. It adopts the form of database, file storage, etc., and is responsible for the persistent storage of data to facilitate subsequent data retrieval and research;

The data retrieval and query unit is used to provide query and retrieval functions for stored data, so that users can easily obtain the required data and facilitate the retrieval of stored data;

The data backup and recovery unit is used to back up the data regularly and perform data recovery when necessary to ensure the security and reliability of the data and ensure that the data will not be lost;

The data security and permission control unit is used to manage data access rights to ensure that only authorized users can access and modify data. It is also responsible for data encryption and security protection to reduce the possibility of data leakage.

Please refer to Figure 1. The output terminals of the control terminal and sensor module are connected to the input terminal of the data processing module. The output terminal of the output processing module is connected to the input terminal of the early warning judgment module. The output terminal of the early warning judgment module is respectively connected to the early warning output module and status feedback and adjustment. The input end of the module is connected, the output end of the early warning output module is connected to the input end of the status feedback and adjustment module, the output end of the status feedback and adjustment module is connected to the data storage module, the user interface module, the status feedback and adjustment module, the data storage module and the control terminal The input end of the threshold setting module is connected to the output end of the user interface module, and the output end of the threshold setting module is connected to the input end of the early warning judgment module. By connecting each module, the system can achieve collaboration and data sharing between functions.

Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art will understand that various changes, modifications, and substitutions can be made to these embodiments without departing from the principles and spirit of the invention. and modifications, the scope of the invention is defined by the appended claims and their equivalents.

Claims (10)

1. Shipborne UAV operating health status early warning and monitoring system, which is characterized by: The sensor module is used to obtain various operating data of the shipborne drone, including but not limited to flight attitude, heading, altitude, speed, battery status, and engine status; Control terminal, used for real-time monitoring of drones and controlling the takeoff and landing of drones; The data processing module is used for the system to effectively process and utilize drone data, provide users with accurate information, and implement early warning and fault diagnosis functions; The early warning judgment module is used to issue early warnings in time when problems or potential risks occur, thereby reducing the possibility of accidents and improving the safety and reliability of the system; The early warning output module is used to ensure that early warning information can be correctly and timely communicated to users or other systems, thereby allowing necessary responses or operations; The state feedback and adjustment module is used to receive information feedback from the warning output and feedback stage, and then adjust the system or take corresponding measures according to the feedback information to ensure the safe flight of the drone; The data storage module is used to ensure that the operating data of the UAV is correctly recorded and saved, thereby supporting the normal operation and decision-making of the UAV system; The threshold setting module is used to ensure that the system can generate early warning signals according to the set thresholds, so as to detect possible problems in advance and take corresponding measures; The user interface module is used to enable users to effectively use and control the shipborne drone operation health status early warning monitoring system to achieve the best early warning and fault handling effects. 2. The shipborne UAV operation health status early warning monitoring system according to claim 1, characterized in that the sensor module comprises: Inertial measurement unit, used to measure the acceleration and angular velocity of the drone on three axes and to measure the geomagnetic field to help determine the direction of the drone; Global positioning unit, used to obtain the position, speed and time information of the drone; Meteorological sensing unit for measuring atmospheric pressure, ambient humidity and ambient temperature; The visual sensing unit is used to obtain image or video data and support visual navigation and obstacle detection functions. 3. The shipborne UAV operating health status early warning and monitoring system according to claim 1, characterized in that the data processing module includes: The data acquisition unit is responsible for collecting raw data from the sensor module and performing preliminary data preprocessing and integration; The data cleaning and preprocessing unit is used to perform denoising, compensation, and calibration preprocessing operations on the collected raw data to ensure data quality and accuracy; The feature extraction and selection unit is used to extract relevant features from the preprocessed data and select features based on them for subsequent status analysis and early warning determination; The data analysis unit is used to analyze data to identify abnormal patterns and predict system state changes; The data conversion and output unit is used to convert the processed data into a format suitable for output, graphic display, alarm information output, and status update. 4. The shipborne UAV operating health status early warning and monitoring system according to claim 1, characterized in that the early warning judgment unit includes: The status monitoring unit is used to monitor the real-time values of various system parameters and indicators and continuously monitor the system status; The threshold setting unit is used to set the threshold of each parameter to determine whether it exceeds the normal range and trigger an early warning; An anomaly detection unit is used to detect anomalies in the monitored data and identify irregular patterns or anomalies; The risk assessment unit is used to comprehensively consider the scope of influence of the changing trends of various parameters and conduct risk assessment on the current status of the system; The early warning output unit is the same as outputting corresponding early warning information, sound or visual alarm, and text information output according to the detected abnormal situation; The early warning level classification unit is the same as dividing the early warning information into different levels according to the severity of the system status, so that operators and monitoring systems can take corresponding countermeasures. 5. The shipborne UAV operating health status early warning and monitoring system according to claim 1, characterized in that the early warning output module includes: The early warning information generation unit is used to generate corresponding early warning information content, text description, and graphic display based on the detected abnormal conditions and early warning levels; The sound alarm unit is used to trigger the sound alarm device and sound an alarm to attract the attention of the operator when the system detects an abnormal situation; The visual alarm unit displays early warning information to operators through screen displays and indicator lights so that they can take timely action; Remote notification unit, used to send early warning information to the remote monitoring center or other related systems to achieve remote monitoring and response; The alarm recording unit is used to record the time, content, and triggering reasons of early warning information for subsequent system analysis and troubleshooting. 6. The shipborne UAV operating health status early warning and monitoring system according to claim 1, characterized in that the threshold setting module includes: The threshold storage unit is used to store the threshold settings of various parameters to ensure that the system can quickly access and use these thresholds during runtime; The threshold calibration unit is used for regular calibration based on the actual situation to ensure that the set threshold is consistent with the actual operating status of the system; The dynamic threshold adjustment unit dynamically adjusts the threshold according to changes in system operating status to adapt to different working environments and conditions; The threshold verification unit is the same as verifying the threshold after setting it to ensure that the set threshold can effectively reflect the normal operating range of the system and accurately trigger the early warning. 7. The shipborne UAV operating health status early warning and monitoring system according to claim 1, characterized in that the status feedback and adjustment module includes: The state feedback interface unit is used to receive the state feedback information of each subsystem or sensor, including performance parameters, operating status, and fault information; The data analysis and processing unit is used to analyze and process the received status feedback information, extract useful information and perform necessary data conversion; The status evaluation and analysis unit is used to evaluate and analyze system status feedback information, determine whether the system is in normal working condition, and identify potential problems and risks; The adjustment strategy generation unit is used to generate system adjustment strategies and plans based on the status assessment results, including parameter adjustment and control instruction issuance; The state adjustment execution unit is used to execute the generated adjustment strategy and issue adjustment instructions to various components of the system to optimize the performance and stability of the system; The feedback confirmation unit is used to confirm the system's response to the adjustment instructions, verify the effect of the adjustment, and feed back the adjusted status feedback information to the status feedback interface. 8. The shipborne UAV operating health status early warning and monitoring system according to claim 1, characterized in that the user interface module includes: The data and status display unit is used to display the data monitored by the system and the current operating status of the system; The instruction production unit is used for the instructions or parameters input by the user at the user input interface to generate corresponding control instructions to control the operation and behavior of the system; The user feedback unit is used to feedback to the user the results of system execution commands, including operation success prompts, warning messages, and error prompts; The user rights management unit is used to manage user login, rights allocation, identity verification and other functions to ensure the security and controllability of the system. 9. The shipborne UAV operating health status early warning and monitoring system according to claim 1, characterized in that the data storage module includes: Data storage unit, a component used to actually store data, takes the form of database, file storage, etc., and is responsible for the persistent storage of data; The data retrieval and query unit is used to provide query and retrieval functions for stored data, allowing users to easily obtain the required data; The data backup and recovery unit is used to back up the data regularly and perform data recovery when necessary to ensure the security and reliability of the data; The data security and permission control unit is used to manage data access permissions to ensure that only authorized users can access and modify data. It is also responsible for data encryption and security assurance. 10. The shipborne UAV operating health status early warning and monitoring system according to claim 1, characterized in that the control terminal and the sensor module output end are connected to the data processing module input end, and the output processing module The output end is connected to the input end of the early warning judgment module, the output end of the early warning judgment module is connected to the early warning output module and the input end of the status feedback and adjustment module respectively, the output end of the early warning output module is connected to the input end of the status feedback and adjustment module, so The output end of the status feedback and adjustment module is connected to the data storage module, the user interface module, the status feedback and adjustment module, the data storage module and the control terminal are connected to each other, and the input end of the threshold setting module is connected to the output end of the user interface module. , the output end of the threshold setting module is connected to the input end of the early warning determination module.