Movatterモバイル変換


[0]ホーム

URL:


CN119045515A - Unmanned aerial vehicle flight state monitoring and exception handling system and method - Google Patents

Unmanned aerial vehicle flight state monitoring and exception handling system and method
Download PDF

Info

Publication number
CN119045515A
CN119045515ACN202411523369.0ACN202411523369ACN119045515ACN 119045515 ACN119045515 ACN 119045515ACN 202411523369 ACN202411523369 ACN 202411523369ACN 119045515 ACN119045515 ACN 119045515A
Authority
CN
China
Prior art keywords
connection
drone
signal
flight
unmanned aerial
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202411523369.0A
Other languages
Chinese (zh)
Inventor
谭炜
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Qingdao Yuandu Intelligent Technology Co ltd
Original Assignee
Qingdao Yuandu Intelligent Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Qingdao Yuandu Intelligent Technology Co ltdfiledCriticalQingdao Yuandu Intelligent Technology Co ltd
Priority to CN202411523369.0ApriorityCriticalpatent/CN119045515A/en
Publication of CN119045515ApublicationCriticalpatent/CN119045515A/en
Pendinglegal-statusCriticalCurrent

Links

Classifications

Landscapes

Abstract

Translated fromChinese

本发明适用于无人机状态监测领域,提供了无人机飞行状态监测与异常处理系统及方法,所述系统包括:信号连接建立模块、飞行状态监测模块、异常状态判定模块、异常处理策略制定模块、执行状态监控与记录模块。该系统会给无人机设定自主监测的能力,在面对连接异常或入侵异常未能及时处理的情况下,无人机能够自动返航,避免了因失去信号而导致的飞行失控,确保设备与人员的安全。信号管理方面,通过反向识别和信号中断机制,无人机能够有效屏蔽不良信号,确保指令来源的合法性,增强了系统的稳定性和安全性。同时,重试机制和身份验证确保在出现问题后,系统能迅速恢复正常操作,降低了飞行中断带来的时间损失。

The present invention is applicable to the field of drone status monitoring, and provides a drone flight status monitoring and exception handling system and method, the system comprising: a signal connection establishment module, a flight status monitoring module, an abnormal status determination module, an exception handling strategy formulation module, and an execution status monitoring and recording module. The system will set the drone with the ability to monitor autonomously. In the event of a connection anomaly or an intrusion anomaly that is not handled in time, the drone can automatically return home, avoiding flight loss due to loss of signal and ensuring the safety of equipment and personnel. In terms of signal management, through reverse identification and signal interruption mechanisms, drones can effectively shield bad signals, ensure the legitimacy of the source of instructions, and enhance the stability and security of the system. At the same time, the retry mechanism and identity authentication ensure that the system can quickly resume normal operation after a problem occurs, reducing the time loss caused by flight interruptions.

Description

Unmanned aerial vehicle flight state monitoring and exception handling system and method
Technical Field
The invention belongs to the field of unmanned aerial vehicle state monitoring, and particularly relates to an unmanned aerial vehicle flight state monitoring and exception handling system and method.
Background
Unmanned aerial vehicle flight status monitoring involves a number of aspects, unmanned aerial vehicles are equipped with a variety of sensors, such as accelerometers, gyroscopes, barometers, and GPS, for real-time monitoring of flight altitude, speed, attitude, and position information. Through the combination of these sensors, the unmanned aerial vehicle can acquire comprehensive flight state data, thereby performing accurate dynamic adjustment. Secondly, the unmanned aerial vehicle generally adopts wireless communication technology (such as RF, wi-Fi and the like) to transmit flight state data to a ground control center in real time, so that a controller can acquire state information of the unmanned aerial vehicle in time and perform corresponding operation. In addition, the flight control system integrates various sensor data, processes and analyzes the sensor data in real time to ensure the stability and safety of the unmanned aerial vehicle in the flight process, and is responsible for automatic navigation and task execution.
At present when controlling unmanned aerial vehicle, under the signal bad condition, control the instruction and probably lose or appear delaying, lead to unmanned aerial vehicle unable to carry out the operation according to expecting, increased the operation risk, and unmanned aerial vehicle probably receives other radio signal's interference, thereby unable instruction from legal control equipment of receiving, if unmanned aerial vehicle receives the signal invasion of illegal equipment easily, lead to possible control conflict or hijack, when unmanned aerial vehicle loses with controlling the connection of equipment, prior art often lacks automatic return or emergency handling mechanism, the risk that unmanned aerial vehicle was lost has been increased.
Disclosure of Invention
The invention aims to provide an unmanned aerial vehicle flight state monitoring and exception handling system, and aims to solve the technical problems in the prior art determined in the background art.
The invention is realized in such a way that the unmanned aerial vehicle flight state monitoring and exception handling system comprises:
The signal connection establishment module is used for establishing a signal connection relation between the unmanned aerial vehicle and the connection equipment, generating codes specific to the connection equipment and binding the codes to the unmanned aerial vehicle;
The flight state monitoring module is used for monitoring the flight state of the unmanned aerial vehicle in real time, checking the signal intensity and quality between the unmanned aerial vehicle and the connecting equipment, recording signal fluctuation and monitoring the connecting state between the unmanned aerial vehicle and the connecting equipment;
The abnormal state judging module is used for setting an abnormal state judging rule of the unmanned aerial vehicle, analyzing whether signal abnormality exists according to the current measured flight state of the unmanned aerial vehicle, and classifying the existing signal abnormality into two types of connection abnormality and intrusion abnormality;
the exception handling policy making module is used for making exception handling schemes for each type respectively and sending corresponding handling policies to the unmanned aerial vehicle according to the signal exception types determined currently;
And the execution state monitoring and recording module is used for monitoring the execution state of the unmanned aerial vehicle and recording the processing process after the processing strategy is executed.
Another object of the present invention is to provide a method for monitoring and exception handling of a flight status of an unmanned aerial vehicle, the method comprising:
Establishing a signal connection relation between the unmanned aerial vehicle and the connecting equipment, generating a code specific to the connecting equipment and binding the code to the unmanned aerial vehicle;
the method comprises the steps of monitoring the flight state of the unmanned aerial vehicle in real time, checking the signal intensity and quality between the unmanned aerial vehicle and the connecting equipment, recording signal fluctuation, and monitoring the connecting state between the unmanned aerial vehicle and the connecting equipment;
Setting an unmanned aerial vehicle abnormal state judging rule, analyzing whether signal abnormality exists according to the current measured unmanned aerial vehicle flight state, and classifying the existing signal abnormality into two types of connection abnormality and intrusion abnormality;
Respectively making an exception handling scheme for each type, and sending a corresponding handling strategy to the unmanned aerial vehicle according to the current determined signal exception type;
And monitoring the execution state of the unmanned aerial vehicle, and recording the processing process after the processing strategy is executed.
As a further aspect of the present invention, the establishing a signal connection relationship between the unmanned aerial vehicle and the connection device, generating a code specific to the connection device and binding the code to the unmanned aerial vehicle, specifically includes:
Establishing signal communication between the connection device and the unmanned aerial vehicle, and generating a unique code for the connection device;
Synchronously transmitting and recording a unique code of the connecting equipment to the unmanned aerial vehicle while establishing a signal channel, carrying out a handshake protocol, and detecting a pairing relation between the connecting equipment and the unmanned aerial vehicle;
And establishing a reverse identification channel between the unmanned aerial vehicle and the connecting equipment, wherein the reverse identification is used for actively acquiring the information of the connecting equipment by the unmanned aerial vehicle.
As a further scheme of the present invention, the real-time monitoring of the flight state of the unmanned aerial vehicle, checking the signal intensity and quality between the unmanned aerial vehicle and the connection device, recording signal fluctuation, and monitoring the connection state between the unmanned aerial vehicle and the connection device specifically includes:
Acquiring flight state data of the unmanned aerial vehicle in real time, wherein the flight state data comprises a current flight path;
Monitoring the connection state between the unmanned aerial vehicle and the connection equipment in real time, including whether the unmanned aerial vehicle is in the connection state and the stability of the connection state;
Detecting the delay and the data loss condition of the connection, and evaluating the connection quality;
when the unmanned aerial vehicle receives the control instruction, validity and legality verification are carried out on the control instruction, and whether the received instruction comes from the paired connecting equipment is judged.
As a further scheme of the present invention, the setting of the abnormal state determination rule of the unmanned aerial vehicle, according to the current measured flight state of the unmanned aerial vehicle, analyzes whether there is a signal abnormality, and classifies the existing signal abnormality into two types of connection abnormality and intrusion abnormality, including:
Setting a signal connection threshold, and judging that the connection is abnormal if the signal strength is lower than the set threshold or the signal connection is interrupted or unstable;
If the unmanned aerial vehicle is in a state of receiving a plurality of operation instructions at the same time and detecting signal interference, judging that the signal intrusion is abnormal;
acquiring flight state data of a current unmanned aerial vehicle, and judging whether a state of abnormal connection or abnormal invasion exists at present;
if the unmanned aerial vehicle is in the abnormal state, marking the unmanned aerial vehicle state according to the abnormal type.
As a further scheme of the invention, the method for respectively preparing the exception handling schemes for each type specifically comprises a connection exception handling scheme and an intrusion exception handling scheme.
As a further aspect of the present invention, the connection exception handling scheme specifically includes:
When the unstable connection or connection interruption of the unmanned aerial vehicle is recognized, stopping all current instruction actions of the unmanned aerial vehicle, and maintaining power to enable the unmanned aerial vehicle to be static at the current position;
the unmanned aerial vehicle sends a connection taking instruction to the connection equipment again, and judges whether to reestablish the connection between the connection equipment and the unmanned aerial vehicle;
If the connection is not established again, repeating the steps until the connection is not established again for three times, and if the connection is not established again, acquiring the current flight path and reversely flying along the flight path until the initial flight position is reached.
As a further solution of the present invention, the intrusion exception handling solution specifically includes:
Reading a reverse identification channel in a signal connection channel of each operation instruction when a plurality of operation instructions are identified and signal interference exists;
if the reverse identification channel cannot be acquired, interrupting all signal instructions of the signal connection channel;
if the reverse identification channel is acquired, acquiring a unique code of the corresponding connecting device through the reverse identification channel, and matching the unique code with the unique code synchronized by the unmanned aerial vehicle;
if the connection equipment which is successfully matched exists, all signal instructions of all other signal connection channels are interrupted;
if the connection equipment which is successfully matched does not exist, the connection equipment is sent with a connection taking instruction again through the unmanned aerial vehicle, and whether connection between the connection equipment and the unmanned aerial vehicle is reestablished is judged;
If the connection is not established again, repeating the steps until the connection is not established again for three times, and if the connection is not established again, acquiring the current flight path and reversely flying along the flight path until the initial flight position is reached.
The beneficial effects of the invention are as follows:
The system can set autonomous monitoring capability for the unmanned aerial vehicle, and under the condition that connection abnormality or invasion abnormality cannot be handled in time, the unmanned aerial vehicle can automatically return to the air, so that the out-of-control flight caused by signal loss is avoided, and the safety of equipment and personnel is ensured. In the aspect of signal management, through reverse identification and a signal interruption mechanism, an unmanned aerial vehicle can effectively shield bad signals, ensure the legality of instruction sources, and strengthen the stability and the safety of a system. Meanwhile, the retry mechanism and the identity verification ensure that after a problem occurs, the system can quickly recover to normal operation, so that the time loss caused by flight interruption is reduced, and the adaptability and the reliability of the unmanned aerial vehicle under a complex environment are further improved.
Drawings
Fig. 1 is a block diagram of a flight status monitoring and exception handling system for an unmanned aerial vehicle according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for monitoring and exception handling of an unmanned aerial vehicle flight state according to an embodiment of the present invention;
Fig. 3 is a flowchart for establishing a signal connection relationship between an unmanned aerial vehicle and a connection device, generating a code specific to the connection device, and binding the code to the unmanned aerial vehicle, which is provided by an embodiment of the present invention;
Fig. 4 is a flowchart for monitoring the flight state of the unmanned aerial vehicle in real time, checking the signal intensity and quality between the unmanned aerial vehicle and the connection device, recording signal fluctuation, and monitoring the connection state between the unmanned aerial vehicle and the connection device according to the embodiment of the present invention;
FIG. 5 is a flowchart for setting an abnormal state judgment rule of an unmanned aerial vehicle, analyzing whether a signal abnormality exists according to the current measured flight state of the unmanned aerial vehicle, and classifying the existing signal abnormality into two types of connection abnormality and intrusion abnormality;
FIG. 6 is a flowchart of a connection exception handling scheme according to an embodiment of the present invention;
fig. 7 is a flowchart of an intrusion exception handling scheme according to an embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present invention more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
It will be understood that the terms "first," "second," and the like, as used herein, may be used to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another element. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of this disclosure.
Fig. 1 is a block diagram of a system for monitoring and exception handling of an unmanned aerial vehicle in flight status according to an embodiment of the present invention, as shown in fig. 1, where the system includes:
The signal connection establishing module 100 is configured to establish a signal connection relationship between the unmanned aerial vehicle and the connection device, generate a code specific to the connection device, and bind the code to the unmanned aerial vehicle;
The flight state monitoring module 200 is used for monitoring the flight state of the unmanned aerial vehicle in real time, checking the signal intensity and quality between the unmanned aerial vehicle and the connecting equipment, recording signal fluctuation, and monitoring the connecting state between the unmanned aerial vehicle and the connecting equipment;
the abnormal state judging module 300 is used for setting an abnormal state judging rule of the unmanned aerial vehicle, analyzing whether signal abnormality exists according to the currently measured flight state of the unmanned aerial vehicle, and classifying the existing signal abnormality into two types of connection abnormality and intrusion abnormality;
The exception handling policy making module 400 is configured to make exception handling schemes for each type respectively, and send corresponding handling policies to the unmanned aerial vehicle according to the signal exception type determined currently;
the execution state monitoring and recording module 500 is configured to monitor an execution state of the unmanned aerial vehicle, and record the processing procedure when the processing policy is executed.
Fig. 2 is a flowchart of a method for monitoring and exception handling of an unmanned aerial vehicle flight state according to an embodiment of the present invention, as shown in fig. 2, where the method includes:
S100, establishing a signal connection relation between the unmanned aerial vehicle and the connection equipment, generating a code specific to the connection equipment and binding the code to the unmanned aerial vehicle;
As shown in fig. 3, the establishing a signal connection relationship between the unmanned aerial vehicle and the connection device, generating a code specific to the connection device and binding the code to the unmanned aerial vehicle specifically includes:
S110, establishing signal communication between the connecting device and the unmanned aerial vehicle, and generating a unique code for the connecting device;
S120, synchronously transmitting and recording unique codes of the connecting equipment to the unmanned aerial vehicle while establishing a signal channel, carrying out a handshake protocol, and detecting a pairing relation between the connecting equipment and the unmanned aerial vehicle;
S130, establishing a reverse identification channel between the unmanned aerial vehicle and the connecting device, wherein the reverse identification is used for the unmanned aerial vehicle to actively acquire the information of the connecting device.
In this step, a secure signal channel is opened between the unmanned aerial vehicle and the connection device through wireless communication technology (such as Wi-Fi, bluetooth, zigbee, etc.), and this channel needs to have the characteristics of low delay and high reliability, so as to ensure real-time data transmission. Meanwhile, the communication content can be protected by using an encryption protocol, so that information can be prevented from being stolen or tampered.
A unique identification code (UID) is generated for each connected device, the code being generated using the UUID (universal unique identification code) standard, ensuring the uniqueness of each device. In addition, when the signal channel is established, the unique code of the connecting device can be synchronously transmitted with the unmanned aerial vehicle through a handshake protocol, and the unmanned aerial vehicle records the code in an internal system of the unmanned aerial vehicle as a basis for subsequent identification. The handshake protocol will verify the identity of the connected device and ensure that the drone only accepts instructions from the connected device.
Meanwhile, a reverse identification channel is arranged on the basis of signal communication, so that the unmanned aerial vehicle can actively acquire information of the connecting device, the channel can send specific identification request information and receive response information of the connecting device, and the reverse identification channel can effectively confirm the identity of the connecting device and prevent disguised equipment from invading.
Such an authentication mechanism can effectively prevent interference and operation of an illegal device. The reverse recognition channel is established, so that the unmanned aerial vehicle can monitor the state of the connecting device in real time, the received instruction is ensured to come from legal control equipment, and the bidirectional verification mechanism improves the safety and reliability of flight. Under the condition of unstable connection signals, the unmanned aerial vehicle can rapidly judge and take corresponding measures, such as trying reconnection or executing a return strategy, so as to ensure the smooth proceeding of the flight mission. The pairing process of the unmanned aerial vehicle and the connecting equipment is simplified through the handshake protocol, the user experience is improved, the user only needs to configure once, the unmanned aerial vehicle can remember the connecting equipment, and complex repeated operation is effectively avoided.
S200, monitoring the flight state of the unmanned aerial vehicle in real time, checking the signal intensity and quality between the unmanned aerial vehicle and the connecting equipment, recording signal fluctuation, and monitoring the connecting state between the unmanned aerial vehicle and the connecting equipment;
As shown in fig. 4, the real-time monitoring of the flight state of the unmanned aerial vehicle, checking the signal intensity and quality between the unmanned aerial vehicle and the connection device, recording signal fluctuation, and monitoring the connection state between the unmanned aerial vehicle and the connection device specifically includes:
S210, acquiring flight state data of the unmanned aerial vehicle in real time, wherein the flight state data comprise the current flight path;
s220, monitoring the connection state between the unmanned aerial vehicle and the connection equipment in real time, including whether the unmanned aerial vehicle is in the connection state or not and the stability of the connection state;
s230, detecting the delay and data loss condition of the connection, and evaluating the connection quality;
and S240, when the unmanned aerial vehicle receives the control instruction, verifying the validity and the legality of the control instruction, and judging whether the received instruction is from the paired connecting equipment.
In the step, the unmanned aerial vehicle acquires flight state data in real time through the built-in sensor and the GPS module, and records the flight altitude, speed, heading and the path of the current flight. The data not only provides basic information for subsequent exception handling, but also provides real-time feedback for the safety and stability of the flight.
Meanwhile, the method also comprises the step of monitoring the connection state between the unmanned aerial vehicle and the connection equipment, wherein the process involves the step of detecting key indexes such as whether the connection is normal or not, the stability of the connection state and the like. The unmanned aerial vehicle will continuously evaluate the signal intensity with the connecting device, judge the stability of connection through analyzing signal fluctuation, ensure to remain reliable control throughout the flight process.
In addition, the drone will periodically detect the delay time to discover potential connection problems in time and record any data loss that may occur, which information may be used to evaluate the quality of the connection and its impact on flight safety. Through carrying out real-time evaluation to the connection quality, unmanned aerial vehicle can in time take measures when the connection is unstable, ensures the safety of flight.
Finally, when the control instruction is received, no one can verify the validity and legality of the instruction, and the received instruction is ensured to come from the paired connecting equipment. This verification process involves a comprehensive check of the format, content, and identity of the source device of the instructions, only instructions meeting predetermined criteria will be executed, thereby preventing unauthorized manipulation and potential security threats.
The flight data are collected in real time, so that the unmanned aerial vehicle can continuously self-evaluate in the flight process, and the flight strategy is timely adjusted to cope with the change of the external environment. And secondly, stable connection state monitoring can effectively prevent flight abnormality caused by weak signals or disconnection, and control timeliness and accuracy are ensured. Finally, the validity verification of the instruction is an important mechanism for preventing malicious interference and protecting flight safety, and the safety and reliability of the unmanned aerial vehicle system are further improved.
S300, setting an unmanned aerial vehicle abnormal state judging rule, analyzing whether signal abnormality exists according to the current measured unmanned aerial vehicle flight state, and classifying the existing signal abnormality into two types of connection abnormality and intrusion abnormality;
As shown in fig. 5, the setting of the abnormal state determination rule of the unmanned aerial vehicle, according to the current measured flight state of the unmanned aerial vehicle, analyzes whether there is a signal abnormality, and classifies the existing signal abnormality into two types of connection abnormality and intrusion abnormality, specifically includes:
s310, setting a signal connection threshold, and judging that the connection is abnormal if the signal strength is lower than the set threshold or the signal connection is interrupted and unstable;
S320, if the unmanned aerial vehicle is in a state of receiving a plurality of operation instructions at the same time and signal interference is detected, judging that the signal intrusion is abnormal;
s330, acquiring flight state data of the current unmanned aerial vehicle, and judging whether a connection abnormality or an intrusion abnormality exists currently;
And S340, if the unmanned aerial vehicle exists, marking the unmanned aerial vehicle state according to the abnormal type.
In this step, the signal quality between the drone and the connection device is monitored by setting a signal connection threshold. When the signal strength is below a set threshold, the system will automatically determine that the connection is abnormal. The threshold is set to take into account a variety of environmental factors such as fly height, the effect of obstructions, and the propagation characteristics of the wireless signal to ensure that the reliability of the signal is effectively assessed under a variety of conditions.
Further, if the unmanned aerial vehicle is in a state of receiving a plurality of operation instructions at the same time and signal interference is detected, this will be determined as a signal intrusion anomaly. The unmanned opportunity monitors the received instructions in real time through a built-in signal processing module and analyzes the received instructions, and once an abnormal situation is found, the system immediately marks and records the state. The timely abnormal recognition mode enables the unmanned aerial vehicle to react rapidly, and potential safety hazards are reduced.
In the process, no one can acquire current flight state data, including information such as flight speed, altitude, heading and the like, so as to comprehensively judge whether a connection abnormality or an intrusion abnormality state exists. If the system detects an anomaly, it will label the unmanned aerial vehicle status according to the specific type of anomaly. The labeling mechanism is not only beneficial to subsequent exception handling, but also provides basis for analysis of the flight log.
The monitoring mechanism for setting the signal connection threshold value can effectively identify unstable signal connection caused by environmental change or equipment failure and trigger an alarm in time, so that flight control disorder caused by signal loss is avoided. Secondly, through the rapid judgment of signal invasion, the unmanned aerial vehicle can effectively resist external interference, prevent illegal control by illegal equipment, ensure the autonomy and the security of flight. In addition, comprehensive flight state data acquisition and abnormal state labeling are achieved, comprehensive information support is provided for real-time monitoring, and a foundation is laid for subsequent fault removal and system optimization.
S400, respectively making an exception handling scheme for each type, and sending a corresponding handling strategy to the unmanned aerial vehicle according to the current determined signal exception type;
in this embodiment, the method respectively establishes an exception handling scheme for each type, and specifically includes a connection exception handling scheme and an intrusion exception handling scheme.
As shown in fig. 6, the connection exception handling scheme specifically includes:
S411, when the unmanned aerial vehicle is identified to have unstable connection or connection interruption, stopping all current instruction actions of the unmanned aerial vehicle, and maintaining power to enable the unmanned aerial vehicle to be static at the current position;
s412, the unmanned aerial vehicle sends a connection taking instruction to the connection equipment again, and judges whether to reestablish the connection between the connection equipment and the unmanned aerial vehicle;
S413, repeating the steps until three times if the connection is not established, acquiring the current flight path if the connection is not established, and reversely flying along the flight path until the initial flight position is reached.
As shown in fig. 7, the intrusion exception handling scheme specifically includes:
s421, when a plurality of operation instructions are identified and signal interference exists, a reverse identification channel in a signal connection channel of each operation instruction is read;
s422, if the reverse identification channel cannot be acquired, interrupting all signal instructions of the signal connection channel;
s423, if the reverse identification channel is acquired, acquiring a unique code of the corresponding connecting device through the reverse identification channel, and matching the unique code with the unique code synchronized by the unmanned aerial vehicle;
S424, if the connection equipment which is successfully matched exists, all signal instructions of all other signal connection channels are interrupted;
S425, if no successfully matched connection equipment exists, the connection equipment is sent a connection taking instruction again through the unmanned aerial vehicle, and whether connection between the connection equipment and the unmanned aerial vehicle is reestablished is judged;
s426, if the connection is not established again, repeating the steps until the connection is established for three times, and if the connection is still not established, acquiring the current flight path, and reversely flying along the flight path until the initial flight position is reached.
In the step, the connection exception handling scheme firstly detects unstable connection or connection interruption between the unmanned aerial vehicle and the connection equipment, and then the system immediately terminates all current instruction actions of the unmanned aerial vehicle, so that the unmanned aerial vehicle is prevented from continuously executing potentially dangerous operations under the condition of losing control signals, and the flight safety is ensured. Next, the unmanned would send a take over connection instruction to the connecting device, attempt to reestablish the connection with the connecting device, and continually monitor the connection status to determine if the signal was successfully restored. If the connection fails to be re-established after the first attempt, the system will repeat the above steps until three retries. If three attempts still fail, the unmanned aerial vehicle can automatically acquire the current flight path, fly reversely along the path and automatically return to the starting position, and the return mechanism ensures that the unmanned aerial vehicle can safely return when losing signals, so that the risk of accidental loss is reduced.
In the intrusion exception handling scheme, the unmanned aerial vehicle reads a reverse identification channel in a signal connection channel of each instruction under the condition that a plurality of operation instructions and signal interference are identified. The process is realized by an efficient signal processing technology, and information of an interference state can be timely obtained. If the reverse identification channel cannot be acquired, the unmanned aerial vehicle can immediately interrupt all signal instructions of the signal connection channel, and the measure prevents illegal control of the unmanned aerial vehicle by instructions sent by malicious equipment and ensures autonomy of the unmanned aerial vehicle. If the reverse identification channel is successfully acquired, the unmanned aerial vehicle can acquire the unique code of the connecting device through the channel and match with the unique code synchronized with the unmanned aerial vehicle, so that only legal connecting devices can send control instructions to the unmanned aerial vehicle. If the matching is successful, the system interrupts the signal instructions of all other signal connection channels, if the matching is failed, no one can resend the connection taking instruction to the connection equipment, and connection recovery attempt is carried out for at most three times, and if the connection is not successful yet, the system can reversely fly along the flight path to return to the starting point.
The real-time monitoring and the quick response enable the unmanned aerial vehicle to timely respond when the signal abnormality occurs, so that the possibility of occurrence of accidents is remarkably reduced. Under the condition that connection abnormality or invasion abnormality cannot be handled in time, the unmanned aerial vehicle can return to the home automatically, so that the out-of-control of the flight caused by losing signals is avoided, and the safety of equipment and personnel is ensured. In the aspect of signal management, through reverse identification and a signal interruption mechanism, an unmanned aerial vehicle can effectively shield bad signals, ensure the legality of instruction sources, and strengthen the stability and the safety of a system. Meanwhile, the retry mechanism and the identity verification ensure that after a problem occurs, the system can quickly recover to normal operation, so that the time loss caused by flight interruption is reduced, and the adaptability and the reliability of the unmanned aerial vehicle under a complex environment are further improved.
When the connection between the unmanned aerial vehicle and the connection device is unstable, two situations can be divided:
the first condition is that a connection signal is interfered or connection cannot be established, for example, the connection equipment fails and cannot send out a signal, the distance between the unmanned aerial vehicle and the connection equipment exceeds an operable range, and the like, in the case, the unmanned aerial vehicle temporarily stops moving and tries to establish connection with the connection equipment, the connection is repeated for three times, if the connection still cannot be established, the flight path is read, the shortest return path is generated, and the starting place is automatically returned;
And secondly, the signal is invaded, namely, other equipment invades the unmanned aerial vehicle, the unmanned aerial vehicle is in a state of acquiring a plurality of operation instructions at the same time, the signal is reversely acquired at the moment, a reverse identification signal channel is reserved when the correct connection equipment transmits the operation instructions to the unmanned aerial vehicle, the unmanned aerial vehicle can reversely identify the information of the equipment transmitting the signal through the signal channel, whether the equipment is the correct connection equipment is judged, if the equipment is not the correct connection equipment is identified, or the signal channel capable of reversely identifying is not found, all signals from the source are interrupted, and whether the signal transmitted by the control equipment can be correctly received is judged again.
S500, monitoring the execution state of the unmanned aerial vehicle, and recording the processing process after the processing strategy is executed.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in various embodiments may include multiple sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, nor do the order in which the sub-steps or stages are performed necessarily performed in sequence, but may be performed alternately or alternately with at least a portion of the sub-steps or stages of other steps or other steps.
Those skilled in the art will appreciate that all or part of the processes in the methods of the above embodiments may be implemented by a computer program for instructing relevant hardware, where the program may be stored in a non-volatile computer readable storage medium, and where the program, when executed, may include processes in the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include non-volatile and/or volatile memory. The nonvolatile memory can include Read Only Memory (ROM), programmable ROM (PROM), electrically Programmable ROM (EPROM), electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double Data Rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (SYNCHLINK) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), among others.
The technical features of the above-described embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above-described embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the invention and are described in detail herein without thereby limiting the scope of the invention. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the invention, which are all within the scope of the invention. Accordingly, the scope of protection of the present invention is to be determined by the appended claims.
The foregoing description of the preferred embodiments of the invention is not intended to be limiting, but rather is intended to cover all modifications, equivalents, and alternatives falling within the spirit and principles of the invention.

Claims (8)

Translated fromChinese
1.无人机飞行状态监测与异常处理系统,其特征在于,所述系统包括:1. UAV flight status monitoring and abnormality handling system, characterized in that the system includes:信号连接建立模块,用于建立无人机与连接设备之间的信号连接关系,生成专属该连接设备的编码并绑定至无人机中;The signal connection establishment module is used to establish a signal connection relationship between the drone and the connection device, generate a code exclusive to the connection device and bind it to the drone;飞行状态监测模块,用于实时监测无人机的飞行状态,检查无人机与连接设备之间的信号强度和质量,记录信号波动,并监测无人机与连接设备之间的连接状态;The flight status monitoring module is used to monitor the flight status of the drone in real time, check the signal strength and quality between the drone and the connected device, record signal fluctuations, and monitor the connection status between the drone and the connected device;异常状态判定模块,用于设定无人机异常状态判定规则,依据当前所测的无人机飞行状态,分析是否存在信号异常,并将存在的信号异常分为连接异常和入侵异常两种类型;The abnormal state judgment module is used to set the abnormal state judgment rules of the drone. According to the currently measured flight state of the drone, it analyzes whether there is a signal abnormality and divides the existing signal abnormality into two types: connection abnormality and intrusion abnormality;异常处理策略制定模块,用于分别为每种类型制定异常处理方案,并依据当前所判定的信号异常种类,向无人机发送相对应的处理策略;The exception handling strategy formulation module is used to formulate exception handling plans for each type and send the corresponding processing strategy to the drone based on the type of signal anomaly currently determined;执行状态监控与记录模块,用于监控无人机的执行状态,并当处理策略执行完毕后,对此次处理过程进行记录。The execution status monitoring and recording module is used to monitor the execution status of the drone and record the processing process after the processing strategy is executed.2.无人机飞行状态监测与异常处理方法,其特征在于,所述方法包括:2. A method for monitoring the flight status of a drone and handling abnormalities, characterized in that the method comprises:建立无人机与连接设备之间的信号连接关系,生成专属该连接设备的编码并绑定至无人机中;Establish a signal connection between the drone and the connected device, generate a code unique to the connected device and bind it to the drone;实时监测无人机的飞行状态,检查无人机与连接设备之间的信号强度和质量,记录信号波动,并监测无人机与连接设备之间的连接状态;Monitor the flight status of the drone in real time, check the signal strength and quality between the drone and the connected device, record signal fluctuations, and monitor the connection status between the drone and the connected device;设定无人机异常状态判定规则,依据当前所测的无人机飞行状态,分析是否存在信号异常,并将存在的信号异常分为连接异常和入侵异常两种类型;Set the drone abnormal state judgment rules, analyze whether there is a signal abnormality based on the currently measured drone flight state, and divide the existing signal abnormalities into two types: connection abnormality and intrusion abnormality;分别为每种类型制定异常处理方案,并依据当前所判定的信号异常种类,向无人机发送相对应的处理策略;Formulate exception handling plans for each type, and send corresponding handling strategies to the drone based on the type of signal anomaly currently determined;监控无人机的执行状态,并当处理策略执行完毕后,对此次处理过程进行记录。Monitor the execution status of the drone and record the processing process after the processing strategy is executed.3.根据权利要求2所述的方法,其特征在于,所述建立无人机与连接设备之间的信号连接关系,生成专属该连接设备的编码并绑定至无人机中,具体包括:3. The method according to claim 2, characterized in that the step of establishing a signal connection relationship between the drone and the connection device, generating a code exclusive to the connection device and binding it to the drone, specifically comprises:在连接设备和无人机之间建立信号通信,并为连接设备生成一个唯一编码;Establish signal communication between the connected device and the drone, and generate a unique code for the connected device;在建立信号通道的同时将连接设备的唯一编码同步传输并记录至无人机中,进行握手协议,检测连接设备与无人机的配对关系;While establishing the signal channel, the unique code of the connected device is synchronously transmitted and recorded to the drone, and the handshake protocol is performed to detect the pairing relationship between the connected device and the drone;建立无人机和连接设备之间的反向识别通道,所述反向识别用于无人机主动获取连接设备信息。A reverse identification channel is established between the drone and the connected device, and the reverse identification is used for the drone to actively obtain the connected device information.4.根据权利要求3所述的方法,其特征在于,所述实时监测无人机的飞行状态,检查无人机与连接设备之间的信号强度和质量,记录信号波动,并监测无人机与连接设备之间的连接状态,具体包括:4. The method according to claim 3 is characterized in that the real-time monitoring of the flight status of the drone, checking the signal strength and quality between the drone and the connected device, recording the signal fluctuation, and monitoring the connection status between the drone and the connected device specifically includes:实时采集无人机的飞行状态数据,包括本次飞行路径;Collect the flight status data of the drone in real time, including the flight path;实时监测无人机与连接设备之间的连接状态,包括是否处于连接状态、连接状态的稳定性;Real-time monitoring of the connection status between the drone and the connected device, including whether it is in a connected state and the stability of the connection state;检测连接的延迟和数据丢失情况,评估连接质量;Detect connection delays and data loss and assess connection quality;当无人机接收到操控指令时,对操控指令进行有效性与合法性验证,判断所接收的指令是否来自所配对的连接设备。When the drone receives a control command, it verifies the validity and legality of the control command to determine whether the received command comes from the paired connected device.5.根据权利要求4所述的方法,其特征在于,所述设定无人机异常状态判定规则,依据当前所测的无人机飞行状态,分析是否存在信号异常,并将存在的信号异常分为连接异常和入侵异常两种类型,具体包括:5. The method according to claim 4 is characterized in that the setting of the drone abnormal state determination rule analyzes whether there is a signal abnormality based on the currently measured drone flight state, and divides the existing signal abnormality into two types: connection abnormality and intrusion abnormality, specifically including:设定信号连接阈值,若信号强度低于设定阈值或信号连接中断、连接不稳定,则判定为连接异常;Set the signal connection threshold. If the signal strength is lower than the set threshold or the signal connection is interrupted or unstable, it is considered as a connection abnormality.若无人机处于同时接收多条操作指令,并检测到信号干扰,则判定为信号入侵异常;If the drone is receiving multiple operation instructions at the same time and detects signal interference, it is judged as a signal intrusion anomaly;获取当前无人机的飞行状态数据,判断当前是否存在连接异常或入侵异常的状态;Obtain the current UAV flight status data to determine whether there is a connection abnormality or intrusion abnormality;若存在,则根据异常类型,对无人机状态进行标注。If it exists, the drone status will be marked according to the abnormality type.6.根据权利要求5所述的方法,其特征在于,所述分别为每种类型制定异常处理方案,具体包括:连接异常处理方案和入侵异常处理方案。6. The method according to claim 5 is characterized in that the exception handling scheme is formulated for each type, specifically including: a connection exception handling scheme and an intrusion exception handling scheme.7.根据权利要求6所述的方法,其特征在于,所述连接异常处理方案具体包括:7. The method according to claim 6, characterized in that the connection abnormality processing scheme specifically includes:在识别出无人机存在不稳定连接或连接中断时,终止无人机当前所有指令动作,并维持动力使无人机静止于当前所在位置;When an unstable connection or disconnection is detected, all current command actions of the drone are terminated, and the power is maintained to keep the drone stationary at its current location;通过无人机重新向连接设备发送接管连接指令,并判断是否重新建立连接设备与无人机之间的连接;The drone resends a takeover connection command to the connection device, and determines whether to re-establish the connection between the connection device and the drone;若未能重新建立连接,则重复上述步骤,直至三次,若依旧未能建立连接,则获取本次飞行路径,并沿飞行路径反向飞行,直至到达初始飞行位置。If the connection cannot be reestablished, repeat the above steps three times. If the connection still cannot be established, obtain the current flight path and fly in the reverse direction along the flight path until reaching the initial flight position.8.根据权利要求7所述的方法,其特征在于,所述入侵异常处理方案具体包括:8. The method according to claim 7, characterized in that the intrusion exception handling solution specifically includes:在识别出存在多条操作指令,并存在信号干扰时,读取每条操作指令的信号连接通道中的反向识别通道;When it is identified that there are multiple operation instructions and signal interference exists, a reverse identification channel in the signal connection channel of each operation instruction is read;若无法获取反向识别通道,则中断该信号连接通道的全部信号指令;If the reverse identification channel cannot be obtained, all signal instructions of the signal connection channel are interrupted;若获取到反向识别通道,则通过反向识别通道获取对应的连接设备的唯一编码,并将其与无人机所同步的唯一编码进行匹配;If the reverse identification channel is obtained, the unique code of the corresponding connected device is obtained through the reverse identification channel and matched with the unique code synchronized by the drone;若存在匹配成功的连接设备,则中断其他全部的信号连接通道的全部信号指令;If there is a successfully matched connection device, all signal instructions of all other signal connection channels will be interrupted;若不存在匹配成功的连接设备,则通过无人机重新向连接设备发送接管连接指令,并判断是否重新建立连接设备与无人机之间的连接;If there is no successfully matched connection device, the drone will resend the takeover connection command to the connection device and determine whether to re-establish the connection between the connection device and the drone;若未能重新建立连接,则重复上述步骤,直至三次,若依旧未能建立连接,则获取本次飞行路径,并沿飞行路径反向飞行,直至到达初始飞行位置。If the connection cannot be reestablished, repeat the above steps three times. If the connection still cannot be established, obtain the current flight path and fly in the reverse direction along the flight path until reaching the initial flight position.
CN202411523369.0A2024-10-302024-10-30Unmanned aerial vehicle flight state monitoring and exception handling system and methodPendingCN119045515A (en)

Priority Applications (1)

Application NumberPriority DateFiling DateTitle
CN202411523369.0ACN119045515A (en)2024-10-302024-10-30Unmanned aerial vehicle flight state monitoring and exception handling system and method

Applications Claiming Priority (1)

Application NumberPriority DateFiling DateTitle
CN202411523369.0ACN119045515A (en)2024-10-302024-10-30Unmanned aerial vehicle flight state monitoring and exception handling system and method

Publications (1)

Publication NumberPublication Date
CN119045515Atrue CN119045515A (en)2024-11-29

Family

ID=93587726

Family Applications (1)

Application NumberTitlePriority DateFiling Date
CN202411523369.0APendingCN119045515A (en)2024-10-302024-10-30Unmanned aerial vehicle flight state monitoring and exception handling system and method

Country Status (1)

CountryLink
CN (1)CN119045515A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN119472741A (en)*2025-01-152025-02-18哈尔滨入云科技有限公司 A communication line intelligent detection drone

Citations (9)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN104980210A (en)*2015-06-262015-10-14陈昊Unmanned aerial vehicle matched with authentication communication mechanism, ground station matched with authentication communication mechanism and authentication method
CN105607645A (en)*2016-01-202016-05-25杭州米为科技有限公司Unmanned aerial vehicle, unmanned aerial vehicle return method, and control terminal
CN107065925A (en)*2017-04-012017-08-18成都通甲优博科技有限责任公司A kind of unmanned plane makes a return voyage method and device
CN108183770A (en)*2017-12-292018-06-19南京奇蛙智能科技有限公司A kind of automatic clearance management method of unmanned plane
CN112330984A (en)*2015-03-312021-02-05深圳市大疆创新科技有限公司System and method for regulating operation of an unmanned aerial vehicle
CN112327924A (en)*2020-11-202021-02-05中国直升机设计研究所Link failure emergency disposal method for flight of unmanned helicopter airline
WO2022016534A1 (en)*2020-07-242022-01-27深圳市大疆创新科技有限公司Flight control method of unmanned aerial vehicle and unmanned aerial vehicle
CN117075623A (en)*2023-09-042023-11-17南方电网电力科技股份有限公司Unmanned aerial vehicle autonomous return decision method, device and storage medium
CN118642511A (en)*2024-06-212024-09-13中水北方勘测设计研究有限责任公司 A large-scale mapping unmanned aerial vehicle anti-interference directional return system and method

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN112330984A (en)*2015-03-312021-02-05深圳市大疆创新科技有限公司System and method for regulating operation of an unmanned aerial vehicle
CN104980210A (en)*2015-06-262015-10-14陈昊Unmanned aerial vehicle matched with authentication communication mechanism, ground station matched with authentication communication mechanism and authentication method
CN105607645A (en)*2016-01-202016-05-25杭州米为科技有限公司Unmanned aerial vehicle, unmanned aerial vehicle return method, and control terminal
CN107065925A (en)*2017-04-012017-08-18成都通甲优博科技有限责任公司A kind of unmanned plane makes a return voyage method and device
CN108183770A (en)*2017-12-292018-06-19南京奇蛙智能科技有限公司A kind of automatic clearance management method of unmanned plane
WO2022016534A1 (en)*2020-07-242022-01-27深圳市大疆创新科技有限公司Flight control method of unmanned aerial vehicle and unmanned aerial vehicle
CN112327924A (en)*2020-11-202021-02-05中国直升机设计研究所Link failure emergency disposal method for flight of unmanned helicopter airline
CN117075623A (en)*2023-09-042023-11-17南方电网电力科技股份有限公司Unmanned aerial vehicle autonomous return decision method, device and storage medium
CN118642511A (en)*2024-06-212024-09-13中水北方勘测设计研究有限责任公司 A large-scale mapping unmanned aerial vehicle anti-interference directional return system and method

Cited By (2)

* Cited by examiner, † Cited by third party
Publication numberPriority datePublication dateAssigneeTitle
CN119472741A (en)*2025-01-152025-02-18哈尔滨入云科技有限公司 A communication line intelligent detection drone
CN119472741B (en)*2025-01-152025-07-22哈尔滨入云科技有限公司Communication line intelligent detection unmanned aerial vehicle

Similar Documents

PublicationPublication DateTitle
US11875612B2 (en)Vehicle monitoring apparatus, fraud detection server, and control methods
CN119045515A (en)Unmanned aerial vehicle flight state monitoring and exception handling system and method
US10268557B2 (en)Network monitoring device, network system, and computer program product
KR101966345B1 (en)Method and System for detecting bypass hacking attacks based on the CAN protocol
US20200183373A1 (en)Method for detecting anomalies in controller area network of vehicle and apparatus for the same
KR20210075458A (en)Control method, device and program of intrusion detection system based on can id filtering
CN104091115A (en)Method and device for monitoring safety of terminals
US20230072068A1 (en)Tracking and management method for responding to a cyber-attack
US20180124076A1 (en)Method for transmitting data
US11332162B2 (en)Methods and devices for communication that is comprehensive among users
KR102311786B1 (en)Apparatus and method for enhancing security of distribution automation system
CN114061669A (en)Intelligent monitoring system of environmental protection equipment
US20240249624A1 (en)Safety management system and autonomous control system
KR20150057165A (en)Apparatus and method for monitoring moving means
KR102321689B1 (en)Method and system for checking near device in autonomous vehicle
KR101773834B1 (en)Control and warning system and method using the beacon
KR102168709B1 (en)Device and method for preventing network hacking of vehicle using a gateway
CN110609303B (en)Position sensor and safety chip based on position sensor
JP7430397B2 (en) WIPS sensor, wireless communication system, wireless intrusion prevention method and wireless intrusion prevention program
US20220173960A1 (en)Vehicle data processing device, vehicle data processing system, and vehicle data processing method
US20240031382A1 (en)In-vehicle apparatus, fraud detection method, and computer program
US20080104491A1 (en)Safe transmission using non-safety approved equipment
US20190222413A1 (en)Coupling a mobile radio terminal to a vehicle, and monitoring a coupling
US20240056845A1 (en)Communication abnormality determination device, method, storage medium, and vehicle
WO2023058212A1 (en)Control device

Legal Events

DateCodeTitleDescription
PB01Publication
PB01Publication
SE01Entry into force of request for substantive examination
SE01Entry into force of request for substantive examination

[8]ページ先頭

©2009-2025 Movatter.jp