Unmanned aerial vehicle radiation monitoring and real-time data transmission method and system

Abstract

The invention discloses an unmanned aerial vehicle radiation monitoring and real-time data transmission method and system, and relates to the technical field of radiation monitoring, and the method comprises the steps: determining the specification of an unmanned aerial vehicle according to a monitoring field environment; the unmanned aerial vehicle collects field radiation data based on the radiation detection sensor, and the data transmission module transmits the radiation data to the control master station; the control master station observes the power of the unmanned aerial vehicle in real time and adjusts the energy consumption strategy of the unmanned aerial vehicle based on a power consumption optimization algorithm. Nuclear radiation data are collected in real time through the GM tube radiation detection sensor, and real-time processing and analysis are conducted through the efficient data processing circuit board. The monitoring device and the unmanned aerial vehicle platform are seamlessly integrated, an optimal communication path is intelligently selected, the continuity and stability of data are ensured, and the security of data transmission is ensured through an advanced encryption technology. Through an optimization algorithm, energy consumption is optimized, and long-time task power supply is ensured.

Description

Technical Field

[0001] The present invention relates to the field of radiation monitoring technology, and in particular to a method and system for unmanned aerial vehicle radiation monitoring and real-time data transmission. Background Art

[0002] In the field of nuclear safety and environmental monitoring, traditional radiation monitoring methods mainly rely on ground fixed stations and handheld devices. Although these traditional methods provide basic monitoring functions, they have significant limitations in several key aspects, especially when responding to nuclear accidents or environmental pollution incidents:

[0003] 1. Coverage and accessibility issues: Fixed monitoring stations cannot be flexibly adjusted to cover wider areas or areas with complex terrain due to their fixed geographical location. This is particularly problematic when monitoring of vast or hard-to-reach areas is required. In addition, although handheld devices have certain flexibility, they rely on manual operation and are therefore limited in quickly reaching remote or dangerous areas.

[0004] 2. Insufficient data real-time and response speed: In the event of a nuclear accident or other emergency radioactive leak, it is crucial to quickly obtain accurate radiation data in the affected area. Traditional monitoring methods often face delays in data transmission and processing, and cannot meet the needs of immediate decision-making and emergency response.

[0005] 3. Environmental adaptability and maintenance challenges of equipment: The installation and maintenance of fixed monitoring equipment are both technically and economically challenging, especially in areas with harsh environments or where it is difficult for personnel to stay for a long time. The stability and reliability of equipment under extreme conditions (such as high temperature, high humidity or high radiation environment) are also major issues, which affects the accuracy of data and the continuity of monitoring.

[0006] Therefore, it is necessary to develop a new radiation monitoring method that can overcome the above limitations, provide a wider coverage, faster response speed, and can operate stably under various environmental conditions. The present invention provides a UAV radiation monitoring and real-time data transmission method and system, which is intended to combine UAV technology with remote communication technology, transmit monitoring data in real time, and have better environmental adaptability and wider coverage. Summary of the invention

[0007] In view of the above-mentioned problems, the present invention is proposed.

[0008] Therefore, the problems to be solved by the present invention are as follows: In the existing field of nuclear safety and environmental monitoring, conventional radiation monitoring methods are restricted by geographical location, monitoring range, as well as data transmission and processing delays. In addition, fixed monitoring stations cannot meet the rapidly changing monitoring requirements in terms of flexibility and response speed, especially in emergency situations. The performance stability and reliability of traditional monitoring equipment in extreme environments are also insufficient, and the maintenance and operation of the equipment require a large amount of manpower and resources.

[0009] To solve the above technical problems, the present invention provides the following technical solution: A method for unmanned aerial vehicle (UAV) radiation monitoring and real-time data transmission, which includes determining the UAV specifications according to the monitoring site environment; the UAV collects on-site radiation data based on a radiation detection sensor, and a data transmission module transmits the radiation data to a control master station; the control master station observes the UAV battery power in real time and adjusts the UAV energy consumption strategy based on an electricity consumption optimization algorithm.

[0010] As a preferred embodiment of the method for UAV radiation monitoring and real-time data transmission according to the present invention, wherein: the UAV specifications include airframe material, battery specifications, maximum takeoff weight, payload and configuration capacity, flight range and speed.

[0011] As a preferred embodiment of the method for UAV radiation monitoring and real-time data transmission according to the present invention, wherein: the UAV collects on-site radiation data based on a radiation detection sensor includes using a GM tube to detect the X-ray and γ-ray dose rates; the number of GM tubes configured is at least two.

[0012] As a preferred embodiment of the method for UAV radiation monitoring and real-time data transmission according to the present invention, wherein: the data transmission module transmits the radiation data to the control master station includes a preamplifier amplifying the weak electrical pulse signal of the GM tube; a signal processing circuit filtering and further amplifying the amplified signal to obtain an analog signal; an ADC converting the processed analog signal into a digital signal; a microprocessor processing the digital signal output by the ADC, performing data merging, real-time calculation and decision logic; a communication interface sending the processed data to the main control system of the UAV, and sending it back to the control master station through the data transmission module of the UAV.

[0013] As a preferred embodiment of the method for UAV radiation monitoring and real-time data transmission according to the present invention, wherein: the data transmission module transmitting the radiation data to the control master station further includes encryption control, an encryption module in the UAV encrypts data packets on the transmission network and implements an authentication mechanism during transmission, and only authorized users and systems are allowed to access the transmitted data; a dynamic key management is used to update the strategy regularly.

[0014] As a preferred solution of the UAV radiation monitoring and real-time data transmission method described in the present invention, the data transmission module transmits the radiation data to the control main station and also includes anti-interference control, introduces frequency hopping technology into the data transmission module, and automatically switches to a clear frequency band when encountering signal interference; a dual-channel configuration is adopted during transmission, even if one channel is interfered or fails, the other channel can continue to transmit data.

[0015] As a preferred solution of the method for monitoring and transmitting radiation of unmanned aerial vehicles in real time according to the present invention, the energy consumption strategy of the unmanned aerial vehicle based on the power consumption optimization algorithm includes real-time monitoring of the flight status and mission requirements of the unmanned aerial vehicle to identify the current operation stage; using the real-time radiation data R(t) to calculate the short-term average radiation level R avg It is expressed as,

[0016]

[0017] Where n represents the time window size; according to the current power E(t) and the average radiation level R avg , determine the sampling interval Δt and power setting P of the sensor, the formula is expressed as,

[0018] Δt=f(E(t),R avg )

[0019] P = g(E(t), R avg )

[0020] Where f represents the interval function, g represents the power function; if R avg Below the preset threshold R low , and E(t) is higher than the safe operation threshold E safe , reduce the sampling frequency and sensor power; if R avg Higher than R high , that is, in areas with high radiation, increase the sampling frequency and power.

[0021] Another object of the present invention is to provide a UAV radiation monitoring and real-time data transmission system, which can monitor the radiation data of a given area in real time.

[0022] To solve the above technical problems, the present invention provides the following technical solutions: a system for UAV radiation monitoring and real-time data transmission method, comprising: an acquisition module, a data transmission module, an encryption module and a power consumption control module; the acquisition module acquires on-site radiation data based on a radiation detection sensor; the data transmission module transmits the radiation data to a control main station; the encryption module encrypts the data during data transmission; the power consumption control module adjusts the UAV energy consumption strategy based on a power consumption optimization algorithm.

[0023] A computer device includes a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the above-mentioned method for radiation monitoring and real-time data transmission of an unmanned aerial vehicle are implemented.

[0024] A computer-readable storage medium stores a computer program, which, when executed by a processor, implements the steps of the above-mentioned method for radiation monitoring and real-time data transmission of an unmanned aerial vehicle.

[0025] The beneficial effects of the present invention are as follows: Traditional fixed monitoring stations cannot meet the rapidly changing monitoring needs in terms of flexibility and response speed, especially in emergency situations. The present invention collects nuclear radiation data in real time by loading a highly sensitive Geiger-Müller (GM) tube radiation detection sensor on a drone, and uses an efficient data processing circuit board for real-time processing and analysis. The monitoring device is seamlessly integrated with the drone platform, and the multi-mode communication module supports 4G LTE and Wi-Fi networks, intelligently selects the best communication path, ensures data continuity and stability, and ensures the security of data transmission through advanced encryption technology. By optimizing the algorithm, energy consumption is optimized to ensure power supply for long-term missions.

[0026] The present invention is applicable to high-risk areas such as the periphery of nuclear power plants and radioactive waste disposal areas, achieving wide coverage, real-time monitoring, secure data transmission and efficient energy management, providing comprehensive technical support for nuclear safety and environmental monitoring. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for describing the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. Among them:

[0028] Figure 1 This is a scene diagram of a UAV radiation monitoring and real-time data transmission method in Example 1.

[0029] Figure 2 This is a module structure diagram of a UAV radiation monitoring and real-time data transmission system in Example 2. DETAILED DESCRIPTION

[0030] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are described in detail below in conjunction with the accompanying drawings.

[0031] In the following description, many specific details are set forth to facilitate a full understanding of the present invention, but the present invention may also be implemented in other ways different from those described herein, and those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0032] Example 1, reference Figure 1 , which is the first embodiment of the present invention, and which provides a method for UAV radiation monitoring and real-time data transmission, including: Figure 1 As shown:

[0033] S1. Determine the specifications of the drone based on the monitoring site environment.

[0034] This embodiment assumes that the monitoring site environment is a general nuclear power plant monitoring environment, and the specific drone selection specifications are as follows:

[0035] Aircraft body material: It uses lightweight and high-strength carbon fiber and aluminum alloy composite materials to ensure the strength and durability of the aircraft body in resisting severe weather conditions such as strong winds, while controlling the weight to improve flight efficiency and load capacity.

[0036] Battery specifications: A more compact and efficient lithium polymer battery (Li-Po) is used, providing about 400Wh of power to meet the need for at least 35 minutes of battery life. The battery design focuses on maximizing energy density to reduce weight and increase battery life.

[0037] Flight performance:

[0038] Maximum take-off weight: adjusted to 4 kg to ensure sufficient margin to carry a 3 kg payload.

[0039] Flight stability: Increase wind speed tolerance to 20 m / s, achieved by improving flight control algorithms and strengthening fuselage structure.

[0040] Flight range and speed: Ensure a maximum operating radius of 10 km and a maximum flight speed of at least 60 km / h to quickly reach the monitoring area and respond to emergencies.

[0041] Load and configuration capacity: Payload: The design load capacity is 3 kg, suitable for carrying necessary monitoring devices and communication equipment.

[0042] Environmental adaptability: Enhance the drone's waterproof and dustproof capabilities to IP67 standards to ensure normal operation in rainy and windy environments.

[0043] Maintenance and Reliability: Integrates more advanced self-diagnostic functions and maintenance reminder systems to enable ground operators to perform daily inspections and maintenance more effectively.

[0044] Operation and Control: Strengthen the remote control system and the automatic flight mode to support more complex flight mission planning and execution, including stable operation under extreme weather conditions.

[0045] S2. The UAV collects on-site radiation data based on the radiation detection sensor, and the data transmission module transmits the radiation data to the control master station.

[0046] To ensure the effectiveness and accuracy of the UAV radiation monitoring system, the key to the design of the monitoring device lies in selecting a suitable radiation monitoring sensor and an efficient data processing and transmission unit. The radiation detection sensor adopted in the present invention is multiple GM (Geiger-Müller) tubes to detect the X-ray and γ-ray dose rates. GM tubes are widely used in radiation detection due to their high sensitivity and wide response range.

[0047] The system is equipped with at least two GM tubes to provide spatial redundancy and ensure the accuracy and reliability of the data, especially when the environmental conditions change or a certain sensor fails.

[0048] Each GM tube has the ability to detect dose rates from environmental level (low) to above the safety threshold (high). This enables the UAV to operate in various expected radiation environments.

[0049] The sensor has strong adaptability to temperature and humidity, ensuring stable performance under different climate conditions.

[0050] The main functions of the UAV data processing circuit board include:

[0051] Signal amplification and filtering: The signal output by the GM tube is weak, so it needs to be amplified. After signal amplification, the filter is used to remove noise to ensure the clarity and accuracy of the data.

[0052] Data acquisition and preliminary processing: The circuit board contains an ADC (analog-to-digital converter) component to convert the amplified analog signal into a digital signal for easy processing and storage.

[0053] Real-time data processing: A built-in microprocessor or microcontroller is used to calculate the dose rate in real time and process the data from multiple sensors. The data is optimized and combined through algorithms to reduce the influence of single sensor deviation.

[0054] The specific circuit design logic includes, GM tube: used to detect radiation and convert the radiation energy into electrical pulses.

[0055] Pre-amplifier: Amplify the weak electrical pulse signal of the GM tube for further processing.

[0056] Signal processing circuit: includes filtering and further amplification to adapt to the input requirements of the ADC (analog-to-digital converter).

[0057] ADC: Converts the processed analog signal into a digital signal.

[0058] Microcontroller / microprocessor: Processes the digital signals output by the ADC and performs data merging, real-time calculations, and decision logic.

[0059] Communication interface: responsible for sending the processed data to the main control system of the drone, and sending it back to the control main station through the drone's communication module.

[0060] The communication technology options for this embodiment include: 4G LTE: provides wide coverage and high data transmission speed, suitable for stable data transmission over long distances and in dynamic environments.

[0061] Wi-Fi: Provides high-speed data connection within close range or within a pre-set flight area, especially suitable for data-intensive transmission tasks.

[0062] The design includes a multi-mode communication module that can intelligently switch between 4G and Wi-Fi networks according to signal quality and transmission requirements, ensuring the continuity and stability of data transmission.

[0063] The communication module will be integrated with the drone's main control system, which will manage data transmission and flight control tasks in a unified manner to improve the overall efficiency and response speed of the system.

[0064] Encryption technology design: Transport Layer Security (TLS) is used to encrypt data packets on 4G and Wi-Fi networks, protecting data from being intercepted or tampered with during transmission.

[0065] End-to-end encryption: Ensures complete encrypted transmission of data from the collection point to the ground control center, preventing unauthorized access to data at any transmission node.

[0066] Authentication and access control: Implement strict authentication mechanisms to ensure that only authorized users and systems can access transmitted data.

[0067] Use dynamic key management and regular update strategies to further enhance the security of data transmission.

[0068] Anti-interference design: The data transmission module supports frequency hopping technology, which can automatically switch to a clear frequency band when encountering signal interference to maintain the stability of data transmission.

[0069] Multi-antenna design: Multi-antenna technology is used to improve the signal reception and transmission capabilities and enhance the system's anti-interference ability.

[0070] A dual-channel configuration is used for transmission. Even if one channel is disturbed or fails, the other channel can continue to transmit data.

[0071] S3, the control master station observes the UAV power in real time and adjusts the UAV energy consumption strategy based on the power consumption optimization algorithm.

[0072] To ensure the continuous operation of drones and monitoring devices when performing critical missions, the design of energy management systems needs to focus on efficient battery usage and intelligent energy management strategies.

[0073] Battery selection and configuration:

[0074] Lithium polymer battery (Li-Po): Choose high energy density lithium polymer battery, which is suitable for drones due to its light weight and high output performance. This battery also has good high-speed discharge capability, suitable for providing a large amount of power in a short period of time.

[0075] Battery capacity and configuration: Total battery capacity: The calculation is based on the maximum energy consumption of the drone and monitoring device. It is estimated that at least 400Wh of battery capacity is required to ensure a flight time of more than 35 minutes.

[0076] Battery pack configuration: Use multiple battery packs to support hot swapping and quick replacement, ensuring that the battery pack can be quickly replaced when the drone is performing long-term missions or continuous missions.

[0077] Energy consumption optimization:

[0078] Power demand assessment: Equipment power assessment: Detailed assessment of the power requirements of the drone’s power system, monitoring devices, and communication modules, and optimization of circuit design to reduce unnecessary energy consumption.

[0079] Dynamic Power Management:

[0080] Power regulation: Intelligently adjust power output according to mission requirements and flight phases, such as reducing power consumption during cruise flight and increasing power output during radiation detection or data transmission.

[0081] Sleep Mode: The monitoring device automatically enters a low-power sleep mode when not needed, reducing power consumption during periods of inactivity.

[0082] The purpose of designing the power consumption optimization algorithm of the present invention is to dynamically adjust the power output of the UAV and the working state of the monitoring device to adapt to different mission requirements and flight conditions, thereby optimizing power consumption.

[0083] The algorithm first identifies the current operation phase by monitoring the drone’s flight status (such as flight altitude, speed, and GPS location) and mission requirements (such as the size and radiation level of the monitoring area) in real time.

[0084] Based on the status data, the upcoming power consumption is predicted, including the expected power demand of the propulsion system and monitoring equipment.

[0085] Based on the prediction results and the current power status, the algorithm determines the appropriate power output level and the activity level of the monitoring equipment. For example, in areas with low radiation levels or during non-critical monitoring phases, the scanning frequency of the GM tube can be reduced, or the drone can be adjusted to a low speed to reduce energy consumption.

[0086] The specific operations include real-time monitoring of the UAV’s flight status and mission requirements to identify the current operation phase, and using real-time radiation data R(t) to calculate the short-term average radiation level R avg It is expressed as,

[0087]

[0088] Where n represents the time window size.

[0089] According to the current power E(t) and the average radiation level R avg , determine the sampling interval Δt and power setting P of the sensor, the formula is expressed as,

[0090] Δt=f(E(t),R avg )

[0091] P = g(E(t), R avg )

[0092] Among them, f represents the interval function, and g represents the power function.

[0093] If R avg Below the preset threshold R low , and E(t) is higher than the safe operation threshold E safe , reduce the sampling frequency and sensor power, if R avg Higher than R high , that is, in areas with high radiation, increase the sampling frequency and power.

[0094] Example 2, reference Figure 2 , which is the second embodiment of the present invention, and is different from the first embodiment in that: a system for unmanned aerial vehicle radiation monitoring and real-time data transmission method, characterized in that: it includes a collection module 100, a data transmission module 200, an encryption module 300 and a power consumption control module 400; the collection module 100 collects on-site radiation data based on a radiation detection sensor; the data transmission module 200 transmits the radiation data to the control main station; the encryption module 300 encrypts the data during data transmission; the power consumption control module 400 adjusts the energy consumption strategy of the unmanned aerial vehicle based on the power consumption optimization algorithm.

[0095] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0096] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by an instruction execution system, device or apparatus (such as a computer-based system, a system including a processor, or other system that can fetch instructions from an instruction execution system, device or apparatus and execute instructions), or in conjunction with such instruction execution systems, devices or apparatuses. For the purposes of this specification, "computer-readable medium" can be any device that can contain, store, communicate, propagate or transmit a program for use by an instruction execution system, device or apparatus, or in conjunction with such instruction execution systems, devices or apparatuses.

[0097] More specific examples of computer-readable media (a non-exhaustive list) include the following: an electrical connection with one or more wires (electronic device), a portable computer disk case (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disk read-only memory (CDROM). In addition, the computer-readable medium may even be a paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering or, if necessary, processing in another suitable manner, and then stored in a computer memory.

[0098] It should be understood that each part of the present invention can be implemented by hardware, software, firmware or a combination thereof. In the above embodiments, multiple steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented by hardware, as in another embodiment, any one of the following techniques known in the art or a combination thereof can be used: discrete logic circuits having logic gate circuits for implementing logic functions on data signals, application specific integrated circuits having appropriate combinational logic gate circuits, programmable gate arrays (PGAs), field programmable gate arrays (FPGAs), etc.

[0099] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit them. Although the present invention has been described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that the technical solutions of the present invention can be modified or equivalently replaced without departing from the spirit and scope of the technical solutions of the present invention, and they should all be covered by the scope of the claims of the present invention.

Claims

1. A method for unmanned aerial vehicle radiation monitoring and real-time data transmission, characterized in that: include, Determine the drone specifications based on the monitoring site environment; The drone collects on-site radiation data based on the radiation detection sensor, and the data transmission module transmits the radiation data to the control main station; The control master station observes the UAV power in real time and adjusts the UAV energy consumption strategy based on the power consumption optimization algorithm.

2. The method for UAV radiation monitoring and real-time data transmission according to claim 1, characterized in that: The drone specifications include body materials, battery specifications, maximum take-off weight, payload and configuration capacity, flight range and speed.

3. The method for UAV radiation monitoring and real-time data transmission according to claim 2, characterized in that: The drone collects on-site radiation data based on radiation detection sensors, including using GM tubes to detect X-ray and gamma-ray dose rates; The number of GM tubes configured is at least two.

4. The method for UAV radiation monitoring and real-time data transmission according to claim 3, characterized in that: The data transmission module transmits the radiation data to the control main station, including: the preamplifier amplifies the weak electrical pulse signal of the GM tube; The signal processing circuit filters and further amplifies the amplified signal to obtain an analog signal; The ADC converts the processed analog signal into a digital signal; The microprocessor processes the digital signal output by the ADC and performs data merging, real-time calculations, and decision logic; The data processed by the communication interface is sent to the main control system of the drone, and then sent back to the control main station through the data transmission module of the drone.

5. The method for unmanned aerial vehicle radiation monitoring and real-time data transmission as claimed in claim 4, characterized in that: The data transmission module transmits the radiation data to the control master station and also includes encryption control. The encryption module in the drone encrypts the data packet on the transmission network and implements an identity authentication mechanism during transmission. Only authorized users and systems are allowed to access the transmitted data; Use dynamic key management to update policies regularly.

6. The method for unmanned aerial vehicle radiation monitoring and real-time data transmission according to claim 5, characterized in that: The data transmission module transmits the radiation data to the control master station and also includes anti-interference control, which introduces frequency hopping technology into the data transmission module and automatically switches to a clear frequency band when encountering signal interference; A dual-channel configuration is used for transmission. Even if one channel is disturbed or fails, the other channel can continue to transmit data.

7. The method for UAV radiation monitoring and real-time data transmission according to claim 6, characterized in that: The strategy for adjusting the energy consumption of the UAV based on the power consumption optimization algorithm includes real-time monitoring of the flight status and mission requirements of the UAV to identify the current operation stage; Calculate the short-term average radiation level R using real-time radiation data R(t) avg It is expressed as, Where n represents the time window size; According to the current power E(t) and the average radiation level R avg , determine the sampling interval Δt and power setting P of the sensor, the formula is expressed as, Among them, f represents the interval function, g represents the power function; If R avg Below the preset threshold R low , and E(t) is higher than the safe operation threshold E safe , reduce sampling frequency and sensor power; If R avg Higher than R high , that is, in areas with high radiation, increase the sampling frequency and power.

8. A system using the method for unmanned aerial vehicle radiation monitoring and real-time data transmission as claimed in any one of claims 1 to 7, characterized in that: It comprises a collection module (100), a data transmission module (200), an encryption module (300) and a power consumption control module (400); The acquisition module (100) acquires on-site radiation data based on a radiation detection sensor; The data transmission module (200) transmits the radiation data to the control main station; The encryption module (300) encrypts data during data transmission; The power energy consumption control module (400) adjusts the energy consumption strategy of the drone based on a power consumption optimization algorithm.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of a method for radiation monitoring and real-time data transmission of a drone according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a method for UAV radiation monitoring and real-time data transmission according to any one of claims 1 to 7 are implemented.

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