Intelligent heat dissipation control method and system for lighting unmanned aerial vehicle

Abstract

The invention discloses an intelligent heat dissipation control method and system for a lighting unmanned aerial vehicle, and the method comprises the steps: collecting the temperature of an LED lamp panel in real time through a temperature sensor during starting, carrying out the prediction calculation of the temperature of the LED lamp panel through an embedded controller, and calculating the predicted temperature which can be reached by the LED lamp panel in a future preset time period through a multi-parameter correlation model; according to the prediction and calculation result, the control system generates a corresponding heat dissipation adjustment strategy, and the control system adjusts an air opening of the air guide groove through the electric control element according to the heat dissipation adjustment strategy; wherein the electric control element comprises a thermosensitive memory metal piece and a heating piece which are arranged in an attached mode, and after the opening degree of the tuyere is adjusted, the control system achieves dynamic heat dissipation adjustment by monitoring temperature changes in real time and through a cyclic data processing and feedback mechanism; the heat dissipation efficiency and the intelligent level of the lighting unmanned aerial vehicle are improved, the service life is prolonged, and the use stability and safety of the unmanned aerial vehicle are enhanced.

Description

Technical Field

[0001] The present invention relates to the field of heat dissipation of unmanned aerial vehicles, and in particular to an intelligent heat dissipation control method and system for lighting unmanned aerial vehicles. Background Art

[0002] With the rapid development of drone technology, lighting drones have been widely used in special application scenarios such as emergency lighting, emergency repair and disaster relief. These drones are usually equipped with high-brightness LED light panels, which can provide strong lighting support at night or in low-light environments to assist repair personnel in their work. However, long-term high-brightness lighting will cause the LED light panels to generate a lot of heat. If the heat is not dissipated in a timely and effective manner, it may affect the performance and life of the LED light panels, and even cause safety hazards.

[0003] At present, the existing technology mainly uses passive heat dissipation or simple active heat dissipation to dissipate heat for drones. For example, heat sinks or heat dissipation fins are installed on the LED light panel to dissipate heat naturally by air convection, or mechanical components such as fans are added to force heat dissipation. However, these methods have obvious shortcomings: passive heat dissipation efficiency is low and cannot meet the heat dissipation requirements under high heat density conditions; and adding mechanical components such as fans not only increases the weight and energy consumption of the drone, but may also introduce the risk of mechanical failure and reduce the reliability of the system. These shortcomings result in the drone being unable to balance the relationship between heat dissipation and energy consumption when working in a high temperature environment or for a long time, and lacking an effective heat dissipation regulation mechanism, resulting in poor heat dissipation, affecting the normal operation of the drone and the service life of the LED light panel.

[0004] In view of this, it is necessary to improve the heat dissipation technology of drone lighting components in the prior art to solve the technical problem of lack of effective heat dissipation management. Summary of the invention

[0005] The purpose of the present invention is to provide a method and system for intelligent heat dissipation control of an illumination drone to solve the above technical problems.

[0006] To achieve this object, the present invention adopts the following technical solutions: The present invention provides a heat dissipation intelligent control method for a lighting UAV, comprising: When the lighting drone is started, the temperature of the LED light board is collected in real time through a temperature sensor arranged on the LED light board; Based on the collected temperature data, the temperature of the LED light board is predicted and calculated through the embedded controller, and the predicted temperature that the LED light board can reach in the future preset time period is calculated through the multi-parameter correlation model; According to the result of the prediction calculation, the control system will generate a corresponding heat dissipation adjustment strategy, which includes: if the predicted temperature of the LED light board exceeds the preset threshold, then calculate the air outlet opening of the air guide slot that needs to be adjusted; The control system adjusts the air outlet of the air guide slot through the electric control element according to the heat dissipation adjustment strategy; wherein the electric control element includes a thermal memory metal piece and a heating plate that are fitted together, and the temperature of the heating plate is controlled to control the thermal memory metal piece to adjust the air outlet area of ​​the air guide slot; After the air outlet opening is adjusted, the control system monitors the temperature changes in real time and realizes dynamic heat dissipation adjustment through cyclic data processing and feedback mechanism.

[0007] Optionally, based on the collected temperature data, the temperature of the LED light board is predicted and calculated by the embedded controller, and the predicted temperature that the LED light board can reach in the future preset time period is calculated by the multi-parameter association model, specifically including: The temperature sensor continuously collects temperature data within a preset time interval and sends the data to the embedded controller via a data transmission interface; The embedded controller collects key operating parameters from multiple subsystems of the lighting drone in real time, wherein the key operating parameters include workload, flight altitude, external wind speed, and rotor speed; The embedded controller calls a pre-built multi-parameter correlation model; wherein the multi-parameter correlation model uses a heat conduction equation, a fluid dynamics model, and a differential equation to simulate the heat conduction and heat dissipation process of the LED light panel, and sets different weights for each parameter pair in the key operating parameters.

[0008] Optionally, the embedded controller calls a pre-built multi-parameter association model, and then further includes: Based on the current temperature data and key operating parameters, the temperature value that the LED light panel can reach within a future preset time period is calculated through the multi-parameter association model; wherein the calculation process is realized by solving a multivariable differential equation, and the temperature-time curve of the temperature change over time is determined in combination with the dynamic changes of each parameter to predict the temperature value corresponding to the preset time value.

[0009] Optionally, according to the result of the prediction calculation, the control system will generate a corresponding heat dissipation adjustment strategy, which specifically includes: Based on the calculated temperature-time curve, the temperature rise rate, peak temperature and overheating moment are identified to determine the trend of temperature change; The control system compares the predicted temperature data with the preset safety temperature threshold and generates a corresponding heat dissipation adjustment strategy; if the predicted temperature exceeds the safety threshold at any time, the system determines that there is an overheating risk and takes heat dissipation measures; if the predicted temperature is within the safety threshold, monitoring will continue.

[0010] Optionally, the process of calculating the air outlet opening of the air guide slot that needs to be adjusted is: Calculate the magnitude by which the predicted temperature exceeds the safety threshold, i.e., the temperature difference ΔT; Determine the required heat dissipation power based on ΔT and the current key operating parameters of the drone; The heat dissipation power is converted into the opening change ΔA that needs to be adjusted for the air duct outlet.

[0011] Optionally, the control system adjusts the air outlet of the air guide slot through an electric control element according to the heat dissipation adjustment strategy, specifically including: The control system calculates the temperature change ΔT1 that the heating plate needs to reach according to the air guide slot air outlet opening adjustment amount ΔA determined in the heat dissipation adjustment strategy and the deformation characteristics of the thermal memory metal part, and generates a corresponding control signal; the control signal includes the target temperature or current value required by the heating plate; The generated control signal is sent to the drive circuit of the electronic control element through the signal transmission module; After receiving the control signal, the driving circuit of the electronic control element adjusts the working parameters of the heating plate according to the instruction to achieve the preset target temperature.

[0012] Optionally, after receiving the control signal, the driving circuit of the electric control element adjusts the working parameters of the heating plate according to the instruction to reach a preset target temperature, and then further includes: As the temperature of the heating plate changes, the metal part produces the expected deformation amount at the corresponding temperature according to its own deformation curve, pushing or pulling the opening and closing parts of the tuyere, causing the tuyere area to change; The deformation of the thermal memory metal part drives the opening of the air outlet of the air guide groove to reach a predetermined adjustment amount ΔA.

[0013] Optionally, after the tuyere opening is adjusted, the control system monitors the temperature change in real time and implements dynamic heat dissipation adjustment through cyclic data processing and feedback mechanism, specifically including: After the air outlet opening is adjusted, the control system updates the collected temperature data through the temperature sensor set on the LED light board to obtain updated temperature data; The embedded controller stores the updated temperature data together with the previous historical temperature data in a data buffer, and performs filtering processing on the temperature data in the data buffer; Calculate the filtered temperature data, calculate the temperature change rate and temperature fluctuation range, and obtain the trend information of the current temperature change; Based on the trend information of temperature changes, the current heat dissipation effect is evaluated to determine whether to start the dynamic feedback mechanism; Under the dynamic feedback mechanism, the embedded controller automatically adjusts the heat dissipation strategy by combining the trend information of temperature changes and the current key operating parameters; After completing the adjustment of the new heat dissipation strategy, based on the cyclic data processing mechanism, it continues to enter the next round of real-time temperature monitoring and data processing; through multiple cycles, the control system continuously optimizes the heat dissipation effect to keep the temperature of the LED light board within a safe working range.

[0014] Optionally, under the dynamic feedback mechanism, the embedded controller automatically adjusts the heat dissipation strategy in combination with the trend information of temperature change and the current key operating parameters, specifically including: Recalculate the adjustment amount of the air outlet opening: according to the new temperature difference ΔT', determine whether it is necessary to further increase the opening of the air guide slot air outlet; The control parameters of the heating plate are modified accordingly to control the deformation degree of the thermal memory metal part; When the air outlet opening reaches the maximum value and still exceeds the preset safety temperature threshold, the control system reduces the power output of the LED light panel.

[0015] The present invention also provides an intelligent heat dissipation control system for an illumination UAV, which is applied to implement the intelligent heat dissipation control method for an illumination UAV as described above, and the intelligent heat dissipation control system comprises: The temperature sensor is arranged on the LED light board and is used to collect the temperature of the LED light board in real time; The embedded controller is used to predict the temperature of the LED light board and calculate the predicted temperature that the LED light board can reach in a preset time period in the future through a multi-parameter correlation model; A control strategy generation module is used to generate a corresponding heat dissipation adjustment strategy according to the results of the prediction calculation; The electric control element includes a thermal memory metal piece and a heating sheet which are bonded together, and a driving circuit; The control unit is used to adjust the air outlet of the air guide slot through the electronic control element according to the heat dissipation adjustment strategy, and realize dynamic heat dissipation adjustment through cyclic data processing and feedback mechanism.

[0016] Compared with the prior art, the present invention has the following beneficial effects: when the UAV is started, the temperature sensor arranged on the LED light board collects the temperature data of the LED light board in real time, and the embedded controller is used to predict and calculate the temperature of the LED light board in the future preset time period through a multi-parameter correlation model based on the collected temperature data, and the control system generates a corresponding heat dissipation adjustment strategy according to the prediction result: if the predicted temperature exceeds the preset threshold, the air outlet opening of the air guide slot that needs to be adjusted is calculated; the control system adjusts the air outlet area of ​​the air guide slot through the electric control element, specifically, by controlling the temperature of the heating plate to change the shape of the thermal memory metal part, thereby adjusting the air outlet opening, the system continuously monitors the temperature change in real time, and dynamically adjusts the heat dissipation measures through the cyclic data processing and feedback mechanism to ensure that the temperature of the LED light board is maintained within a safe range; through real-time temperature monitoring and predictive calculation, the forward-looking control of the temperature of the LED light board is realized, and equipment damage caused by excessive temperature is avoided. Through the heat dissipation adjustment strategy, dynamic heat dissipation adjustment is realized, and the system can adjust the air outlet opening of the air guide slot according to actual needs, thereby optimizing the heat dissipation efficiency and energy consumption; the method improves the heat dissipation efficiency and intelligence level of the lighting UAV, prolongs the service life, and enhances the stability and safety of the use of the UAV. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. 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 paying creative labor.

[0018] The structures, proportions, sizes, etc. illustrated in the drawings of this specification are only used to match the contents disclosed in the specification so as to facilitate understanding and reading by persons familiar with this technology. They are not used to limit the conditions under which the present invention can be implemented, and therefore have no substantive technical significance. Any structural modification, change in proportion or adjustment of size, without affecting the effects and purposes that can be achieved by the present invention, should still fall within the scope of the technical contents disclosed by the present invention.

[0019] Figure 1 This is one of the flow charts of the heat dissipation intelligent control method of the first embodiment; Figure 2 This is a second flow chart of the heat dissipation intelligent control method of the first embodiment; Figure 3 This is the third flow chart of the intelligent heat dissipation control method of the first embodiment. DETAILED DESCRIPTION

[0020] In order to make the purpose, features and advantages of the present invention more obvious and easy to understand, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described below are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] In the description of the present invention, it should be understood that the terms "upper", "lower", "top", "bottom", "inside", "outside" and the like indicate positions or positional relationships based on the positions or positional relationships shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation of the present invention. It should be noted that when a component is considered to be "connected" to another component, it may be directly connected to the other component or there may be a centrally arranged component at the same time.

[0022] The technical solution of the present invention is further described below with reference to the accompanying drawings and through specific implementation methods.

[0023] Embodiment 1: The present invention provides a heat dissipation intelligent control method for a lighting UAV, comprising: S1, when the lighting drone is started, the temperature of the LED light board is collected in real time through the temperature sensor set on the LED light board; The temperature sensor can collect the current temperature data of the LED light board and continuously record these temperature changes at a certain time interval. The temperature data is transmitted to the control system for preprocessing, filtering out abnormal data (such as peaks or noise caused by interference signals) to ensure the accuracy of subsequent calculations.

[0024] S2, based on the collected temperature data, predicts and calculates the temperature of the LED light board through the embedded controller, and calculates the predicted temperature that the LED light board can reach in the future preset time period through the multi-parameter correlation model; The calculation is based on a multi-parameter correlation model of the historical temperature trend, the current workload, and the external environment of the drone (such as temperature, flight altitude, etc.). The multi-parameter correlation model uses a multivariate linear regression or differential equation model to calculate the temperature threshold that the LED light panel may reach in the future. If the temperature prediction result exceeds the preset safe temperature range, the intelligent heat dissipation control process needs to be started immediately.

[0025] S3, based on the results of the prediction calculation, the control system will generate a corresponding heat dissipation adjustment strategy, which includes: if the predicted temperature of the LED light panel exceeds the preset threshold, the air duct opening that needs to be adjusted is calculated; the air flow rate is adjusted by adjusting the opening size of the air duct; at this time, the opening of the air duct is proportional to the predicted temperature, that is, the higher the temperature, the larger the opening. The heat dissipation adjustment strategy should consider the optimal opening of the air duct in order to balance the heat dissipation efficiency and power consumption, and avoid energy waste caused by excessive heat dissipation.

[0026] S4, the control system adjusts the air outlet of the air guide slot through the electric control element according to the heat dissipation adjustment strategy; wherein the electric control element includes a thermal memory metal piece and a heating plate that are fitted together, and the temperature of the heating plate is controlled to control the thermal memory metal piece to adjust the air outlet area of ​​the air guide slot; Thermosensitive memory metal deforms when the temperature changes, thereby controlling the opening and closing of the air outlet without the need for motor operation. This method not only responds quickly, but also avoids the problem of excessive motor energy consumption.

[0027] S5, after the air outlet opening is adjusted, the control system monitors the temperature changes in real time and realizes dynamic heat dissipation adjustment through cyclic data processing and feedback mechanism.

[0028] This method intelligently controls the adjustment parts of the heat dissipation components of the UAV through real-time acquisition of temperature sensor data and prediction based on mathematical models, and uses the response of the thermosensitive material to adjust the opening of the air guide slot. This method ensures the heat dissipation effect of the lighting UAV in various complex scenarios through data processing and feedback mechanism, avoids the use of traditional motor control solutions, and realizes an efficient and intelligent heat dissipation control process.

[0029] If the temperature of the LED light panel still does not drop to a reasonable range, the system will automatically adjust the air outlet opening or other heat dissipation measures to ensure that the internal temperature of the drone is always in the optimal working range. This process realizes dynamic heat dissipation adjustment through cyclic data processing and feedback mechanism, thereby ensuring that the drone can work stably for a long time in scenes such as emergency repair and disaster relief.

[0030] The working principle of the present invention is as follows: when the unmanned aerial vehicle is started, the temperature sensor arranged on the LED light board collects the temperature data of the LED light board in real time, and the embedded controller is used to predict and calculate the temperature of the LED light board in the future preset time period through a multi-parameter correlation model based on the collected temperature data, and the control system generates a corresponding heat dissipation adjustment strategy according to the prediction result: if the predicted temperature exceeds the preset threshold, the air outlet opening of the air guide slot that needs to be adjusted is calculated; the control system adjusts the air outlet area of ​​the air guide slot through an electric control element, specifically, by controlling the temperature of the heating plate to change the shape of the thermal memory metal part, thereby adjusting the air outlet opening, the system continuously monitors the temperature change in real time, and dynamically adjusts the heat dissipation measures through a cyclic data processing and feedback mechanism to ensure that the temperature of the LED light board is maintained within a safe range; through real-time temperature monitoring and predictive calculation, the forward-looking control of the temperature of the LED light board is realized, and equipment damage caused by excessive temperature is avoided; through the heat dissipation adjustment strategy, dynamic heat dissipation adjustment is realized, and the system can adjust the air outlet opening of the air guide slot according to actual needs, thereby optimizing the heat dissipation efficiency and energy consumption; the method improves the heat dissipation efficiency and the intelligent level of the lighting unmanned aerial vehicle, prolongs the service life, and enhances the stability and safety of the use of the unmanned aerial vehicle.

[0031] In this embodiment, it is specifically described that step S2 specifically includes: S21, the temperature sensor continuously collects temperature data within a preset time interval and sends it to the embedded controller through the data transmission interface; During the operation of the lighting drone, the temperature sensor installed on the LED light board collects the current temperature data in real time. The data is collected continuously at a certain time interval and sent to the embedded controller through the data transmission interface to ensure that the system can obtain real-time temperature information. These temperature data include not only the current value, but also the historical temperature records of multiple consecutive moments, so as to provide the necessary basic data for subsequent calculations.

[0032] S22, the embedded controller collects key operating parameters from multiple subsystems of the lighting drone in real time. The key operating parameters include workload, flight altitude, external wind speed and rotor speed; all these parameters will affect the heat dissipation performance of the LED light board, so they are obtained at the same time to ensure that the input of the prediction model is more accurate.

[0033] S23, the embedded controller calls a pre-built multi-parameter correlation model; wherein the multi-parameter correlation model uses a heat conduction equation, a fluid dynamics model, and a differential equation to simulate the heat conduction and heat dissipation process of the LED light panel, and sets different weights for each parameter pair in the key operating parameters.

[0034] A pre-built multi-parameter correlation model can use mathematical methods such as heat conduction equations, fluid dynamics models, and differential equations to describe the heat conduction and dissipation process of the LED light panel. Each parameter of the key operating parameters (such as ambient temperature, workload, rotor speed, etc.) corresponds to a different weight, which is determined based on the design and heat dissipation characteristics of the drone. Through these physical models, a preliminary estimate of the trend of temperature changes can be made.

[0035] S24, based on the current temperature data and key operating parameters, calculate the temperature value that the LED light panel can reach within a future preset time period through a multi-parameter association model; wherein the calculation process is implemented by solving a multivariable difference equation, and combining the dynamic changes of each parameter to determine a temperature-time curve of the temperature change over time, so as to predict the temperature value corresponding to the preset time value; This calculation can be achieved by solving multivariable difference equations, and combined with the dynamic changes of various parameters, the temperature curve over time is determined. In this process, the focus is on predicting whether the temperature will exceed the safety threshold. The predicted time period can be adjusted according to the drone's work mission or operating environment, such as 5 minutes, 10 minutes or longer.

[0036] After the calculation is completed, the controller will compare the predicted temperature value with the temperature threshold preset by the system. If the predicted temperature value exceeds the preset safe temperature range, the controller will trigger the corresponding cooling strategy adjustment. Otherwise, the system maintains the current cooling state and continues to monitor and update parameters. This process can be repeated to ensure the real-time and dynamic nature of temperature prediction.

[0037] In this embodiment, it is specifically described that step S3 specifically includes: S31, identifying the temperature rise rate, peak temperature and overheating moment according to the calculated temperature-time curve to determine the trend of temperature change; After completing the temperature prediction calculation for the LED light panel in the future preset time period, the control system analyzes the prediction results. Specifically, the system predicts the temperature-time curve and identifies the rate of temperature rise, peak temperature, and possible overheating moments. Through this analysis, the system can determine the trend of temperature change and provide a basis for formulating heat dissipation adjustment strategies.

[0038] S32, the control system compares the predicted temperature data with the preset safety temperature threshold and generates a corresponding heat dissipation adjustment strategy; if the predicted temperature at any time exceeds the safety threshold, the system determines that there is an overheating risk and takes heat dissipation measures; if the predicted temperature is within the safety threshold, monitoring continues.

[0039] The process of calculating the opening of the air guide slot that needs to be adjusted is as follows: S301, calculating the extent to which the predicted temperature exceeds the safety threshold, that is, the temperature difference ΔT.

[0040] S302, determining the required heat dissipation power according to ΔT and the current key operating parameters of the UAV.

[0041] S303, converting the heat dissipation power into an opening change ΔA that needs to be adjusted for the air outlet of the air guide groove.

[0042] This process can use the physical formulas of heat conduction and convection heat transfer, combined with the structural characteristics of the drone, to calculate the required heat dissipation adjustments.

[0043] The control system generates the optimal heat dissipation adjustment strategy based on the quantified heat dissipation requirements. The following factors should be considered when formulating the strategy: 1. Maximize efficiency: Minimize the impact on drone performance and energy while meeting heat dissipation requirements; 2. Smooth adjustment: avoid large changes in the air outlet opening to ensure the stability of the drone flight; 3. Resource balance: Comprehensively consider battery power consumption and heat dissipation effects to seek the best balance point.

[0044] The strategy includes the specific amount of adjustment of the air outlet opening, the adjustment speed and time, and other auxiliary measures when necessary (such as reducing the brightness of the LED).

[0045] After the heat dissipation adjustment strategy is generated, the control system sends the strategy to the execution module to prepare for the actual adjustment. After receiving the strategy, the execution module enters the standby state and is ready to make adjustments according to the strategy at the specified time.

[0046] In this embodiment, it is specifically described that step S4 specifically includes: S41, the control system calculates the temperature change ΔT1 that the heating plate needs to achieve based on the air duct opening adjustment amount ΔA determined in the heat dissipation regulation strategy and the deformation characteristics of the thermosensitive memory metal part, and generates a corresponding control signal; the control signal includes the target temperature or current value required for the heating plate; so as to achieve precise control of the thermosensitive memory metal part.

[0047] S42, the generated control signal is sent to the drive circuit of the electronic control element through the signal transmission module; in order to ensure the accuracy and anti-interference ability of the signal, digital signal encoding and necessary verification mechanisms are used in the transmission process. The transmission method can be a wired connection or a wireless communication protocol to achieve fast and reliable signal transmission.

[0048] S43, after receiving the control signal, the driving circuit of the electric control element adjusts the working parameters of the heating plate according to the instruction to reach the preset target temperature. Specifically, the driving circuit controls the temperature rise or fall of the heating plate by adjusting the power supply current or voltage of the heating plate to reach the preset target temperature. This process needs to consider the thermal inertia of the heating plate and the response speed of the thermosensitive memory metal part to achieve temperature control.

[0049] S44, as the temperature of the heating plate changes, the metal part generates an expected deformation amount at the corresponding temperature according to its own deformation curve, pushes or pulls the opening and closing components of the air outlet, so that the air outlet area changes; The thermal memory metal parts that are fitted together are affected by heat and produce shape memory effect. The metal parts produce the expected deformation amount at a specific temperature according to the pre-set deformation curve. This deformation directly acts on the mechanical structure of the air duct tuyere, pushing or pulling the opening and closing parts of the tuyere, causing the tuyere area to change.

[0050] S45, the deformation of the thermal memory metal part drives the opening of the air duct vent to reach the predetermined adjustment amount ΔA. To ensure the accuracy of the adjustment, the system can monitor the actual opening of the vent in real time through the position sensor or opening sensor installed at the vent position. The monitoring data is fed back to the control system and compared with the expected opening. If there is a deviation, the control system will fine-tune the temperature of the heating plate and further correct the vent opening until the strategy requirements are met.

[0051] In this embodiment, it is specifically described that step S5 specifically includes: S51, after the air outlet opening is adjusted, the control system updates the collected temperature data through the temperature sensor set on the LED light board to obtain updated temperature data; the temperature data is continuously collected at a preset time interval (for example, once per second) and sent to the embedded controller through the data transmission interface to obtain the latest temperature change information.

[0052] S52, the embedded controller stores the updated temperature data together with the previous historical temperature data in the data buffer, and performs filtering processing on the temperature data in the data buffer; possible instantaneous interference and noise are eliminated to ensure the accuracy of the data.

[0053] S53, calculating the filtered temperature data, calculating the temperature change rate and the temperature fluctuation amplitude, and obtaining the trend information of the current temperature change.

[0054] S514, based on the trend information of temperature change, evaluate the current heat dissipation effect to determine whether to start the dynamic feedback mechanism; if it is detected that the temperature is decreasing significantly and the temperature value gradually stabilizes within the safe range, the system maintains the current heat dissipation state. If the temperature is still high or shows a trend of rising again, the controller triggers the dynamic feedback mechanism and prepares for further heat dissipation adjustment.

[0055] S55, under the dynamic feedback mechanism, the embedded controller combines the trend information of temperature changes and the current key operating parameters to automatically adjust the cooling strategy.

[0056] S56, after completing the adjustment of the new heat dissipation strategy, continues to enter the next round of real-time temperature monitoring and data processing based on the cyclic data processing mechanism; through multiple cycles, the control system continuously optimizes the heat dissipation effect to keep the temperature of the LED light board within a safe working range.

[0057] In this embodiment, it is further explained that step S54 specifically includes: S541, recalculate the air outlet opening adjustment amount: determine whether it is necessary to further increase the opening of the air guide slot air outlet according to the new temperature difference ΔT'.

[0058] S542, correspondingly modifying the control parameters of the heating plate to control the deformation degree of the thermal memory metal part.

[0059] S543, when the air outlet opening reaches the maximum value and still exceeds the preset safety temperature threshold, the control system reduces the power output of the LED light panel.

[0060] The present invention also provides an intelligent heat dissipation control system for an illumination UAV, which is applied to implement the intelligent heat dissipation control method for an illumination UAV as in the first embodiment. The intelligent heat dissipation control system includes: The temperature sensor is arranged on the LED light board and is used for collecting the temperature of the LED light board in real time.

[0061] The embedded controller is used to predict the temperature of the LED light board and calculate the predicted temperature that the LED light board can reach in a preset time period in the future through a multi-parameter association model.

[0062] The control strategy generation module is used to generate a corresponding heat dissipation adjustment strategy according to the results of the prediction calculation.

[0063] The electric control element comprises a thermal memory metal piece and a heating plate which are fitted together, and a driving circuit.

[0064] The control unit is used to adjust the air outlet of the air guide slot through the electronic control element according to the heat dissipation adjustment strategy, and realize dynamic heat dissipation adjustment through cyclic data processing and feedback mechanism.

[0065] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features thereof may be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An intelligent heat dissipation control method for a lighting drone, characterized in that: include: When the lighting drone is started, the temperature of the LED light board is collected in real time through a temperature sensor arranged on the LED light board; Based on the collected temperature data, the temperature of the LED light board is predicted and calculated through the embedded controller, and the predicted temperature that the LED light board can reach in the future preset time period is calculated through the multi-parameter correlation model; According to the result of the prediction calculation, the control system will generate a corresponding heat dissipation adjustment strategy, which includes: if the predicted temperature of the LED light board exceeds the preset threshold, then calculate the air outlet opening of the air guide slot that needs to be adjusted; The control system adjusts the air outlet of the air guide slot through the electric control element according to the heat dissipation adjustment strategy; wherein the electric control element includes a thermal memory metal piece and a heating plate that are fitted together, and the temperature of the heating plate is controlled to control the thermal memory metal piece to adjust the air outlet area of ​​the air guide slot; After the air outlet opening is adjusted, the control system monitors the temperature changes in real time and realizes dynamic heat dissipation adjustment through cyclic data processing and feedback mechanism.

2. The intelligent heat dissipation control method for an illumination drone according to claim 1, characterized in that: Based on the collected temperature data, the temperature of the LED light board is predicted and calculated by the embedded controller, and the predicted temperature that the LED light board can reach in the future preset time period is calculated by the multi-parameter association model, specifically including: The temperature sensor continuously collects temperature data within a preset time interval and sends the data to the embedded controller via a data transmission interface; The embedded controller collects key operating parameters from multiple subsystems of the lighting drone in real time, wherein the key operating parameters include workload, flight altitude, external wind speed, and rotor speed; The embedded controller calls a pre-built multi-parameter correlation model; wherein the multi-parameter correlation model uses a heat conduction equation, a fluid dynamics model, and a differential equation to simulate the heat conduction and heat dissipation process of the LED light panel, and sets different weights for each parameter pair in the key operating parameters.

3. The intelligent heat dissipation control method for an illumination drone according to claim 2, characterized in that: The embedded controller calls a pre-built multi-parameter correlation model, and then further includes: Based on the current temperature data and key operating parameters, the temperature value that the LED light panel can reach within a future preset time period is calculated through the multi-parameter association model; wherein the calculation process is realized by solving a multivariable differential equation, and the temperature-time curve of the temperature change over time is determined in combination with the dynamic changes of each parameter to predict the temperature value corresponding to the preset time value.

4. The intelligent heat dissipation control method for an illumination drone according to claim 3, characterized in that: According to the prediction calculation results, the control system will generate a corresponding heat dissipation adjustment strategy, which specifically includes: Based on the calculated temperature-time curve, the temperature rise rate, peak temperature and overheating moment are identified to determine the trend of temperature change; The control system compares the predicted temperature data with the preset safety temperature threshold and generates a corresponding heat dissipation adjustment strategy; if the predicted temperature exceeds the safety threshold at any time, the system determines that there is an overheating risk and takes heat dissipation measures; if the predicted temperature is within the safety threshold, monitoring will continue.

5. The intelligent heat dissipation control method for an illumination drone according to claim 4, characterized in that: The process of calculating the air outlet opening of the air guide slot that needs to be adjusted is: Calculate the magnitude by which the predicted temperature exceeds the safety threshold, i.e., the temperature difference ΔT; Determine the required heat dissipation power based on ΔT and the current key operating parameters of the drone; The heat dissipation power is converted into the opening change ΔA that needs to be adjusted for the air duct outlet.

6. The intelligent heat dissipation control method for an illumination drone according to claim 5, characterized in that: The control system adjusts the air outlet of the air guide slot through the electric control element according to the heat dissipation adjustment strategy, specifically including: The control system calculates the temperature change ΔT1 that the heating plate needs to reach according to the air guide slot air outlet opening adjustment amount ΔA determined in the heat dissipation adjustment strategy and the deformation characteristics of the thermal memory metal part, and generates a corresponding control signal; the control signal includes the target temperature or current value required by the heating plate; The generated control signal is sent to the drive circuit of the electronic control element through the signal transmission module; After receiving the control signal, the driving circuit of the electronic control element adjusts the working parameters of the heating plate according to the instruction to achieve the preset target temperature.

7. The intelligent heat dissipation control method for an illumination drone according to claim 6, characterized in that: After receiving the control signal, the driving circuit of the electric control element adjusts the working parameters of the heating plate according to the instruction to reach the preset target temperature, and then further includes: As the temperature of the heating plate changes, the metal part produces the expected deformation amount at the corresponding temperature according to its own deformation curve, pushing or pulling the opening and closing parts of the tuyere, causing the tuyere area to change; The deformation of the thermal memory metal part drives the opening of the air outlet of the air guide groove to reach a predetermined adjustment amount ΔA.

8. The intelligent heat dissipation control method for an illumination drone according to claim 1, characterized in that: After the air outlet opening is adjusted, the control system monitors the temperature change in real time and realizes dynamic heat dissipation adjustment through cyclic data processing and feedback mechanism, which specifically includes: After the air outlet opening is adjusted, the control system updates the collected temperature data through the temperature sensor set on the LED light board to obtain updated temperature data; The embedded controller stores the updated temperature data together with the previous historical temperature data in a data buffer, and performs filtering processing on the temperature data in the data buffer; Calculate the filtered temperature data, calculate the temperature change rate and temperature fluctuation range, and obtain the trend information of the current temperature change; Based on the trend information of temperature changes, the current heat dissipation effect is evaluated to determine whether to start the dynamic feedback mechanism; Under the dynamic feedback mechanism, the embedded controller automatically adjusts the heat dissipation strategy by combining the trend information of temperature changes and the current key operating parameters; After completing the adjustment of the new heat dissipation strategy, based on the cyclic data processing mechanism, it continues to enter the next round of real-time temperature monitoring and data processing; through multiple cycles, the control system continuously optimizes the heat dissipation effect to keep the temperature of the LED light board within a safe working range.

9. The intelligent heat dissipation control method for an illumination drone according to claim 8, characterized in that: Under the dynamic feedback mechanism, the embedded controller automatically adjusts the heat dissipation strategy based on the trend information of temperature changes and the current key operating parameters, specifically including: Recalculate the adjustment amount of the air outlet opening: according to the new temperature difference ΔT', determine whether it is necessary to further increase the opening of the air guide slot air outlet; The control parameters of the heating plate are modified accordingly to control the deformation degree of the thermal memory metal part; When the air outlet opening reaches the maximum value and still exceeds the preset safety temperature threshold, the control system reduces the power output of the LED light panel.

10. An intelligent heat dissipation control system for a lighting drone, characterized in that: The method for realizing the intelligent heat dissipation control of the lighting UAV according to any one of claims 1 to 9, wherein the intelligent heat dissipation control system comprises: The temperature sensor is arranged on the LED light board and is used to collect the temperature of the LED light board in real time; The embedded controller is used to predict the temperature of the LED light board and calculate the predicted temperature that the LED light board can reach in a preset time period in the future through a multi-parameter correlation model; A control strategy generation module is used to generate a corresponding heat dissipation adjustment strategy according to the results of the prediction calculation; The electric control element includes a thermal memory metal piece and a heating sheet which are bonded together, and a driving circuit; The control unit is used to adjust the air outlet of the air guide slot through the electronic control element according to the heat dissipation adjustment strategy, and realize dynamic heat dissipation adjustment through cyclic data processing and feedback mechanism.

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