Multi-rotor unmanned aerial vehicle system for intelligent inspection of abnormal discharge of power equipment

Abstract

The invention provides a multi-rotor unmanned aerial vehicle system for performing intelligent inspection on abnormal discharge of power equipment. Comprising an unmanned aerial vehicle, a solid-state battery arranged on the unmanned aerial vehicle, a wireless charging module arranged on the unmanned aerial vehicle, a flexible photovoltaic film arranged on the back of the unmanned aerial vehicle, a processor integrated in the unmanned aerial vehicle, a storage capacity detection module integrated on the unmanned aerial vehicle, visual information acquisition equipment integrated on the unmanned aerial vehicle, a temperature detection module and a ground charging vehicle. And cloud service. According to the invention, solar charging and temperature difference charging of the unmanned aerial vehicle are realized through the flexible photovoltaic film and the temperature difference power generation sheet; the unmanned aerial vehicle is wirelessly charged through cooperation of the electricity storage quantity detection module, the visual information collection device, the processor, the cloud service and the ground charging vehicle, and the cruising ability of the unmanned aerial vehicle is effectively improved. In addition, intelligent control over heat dissipation of the unmanned aerial vehicle is achieved through a temperature detection module, a micro turbofan and a metal heat dissipation plate, and the heat dissipation effect of the unmanned aerial vehicle is improved.

Description

Technical Field

[0001] The present disclosure relates to the technical field of electric power operation and maintenance, and discloses a multi-rotor UAV system for intelligent inspection of abnormal discharge of electric power equipment. Background Art

[0002] Against the backdrop of the ever-expanding scale of power systems and increasingly complex equipment, traditional manual inspections and automated inspections have exposed many deficiencies in the detection of abnormal discharges in power equipment. Specifically, the current field of abnormal discharge inspections for power equipment is facing two major technical bottlenecks that urgently need to be broken through. These bottlenecks not only limit inspection efficiency and quality, but also pose a potential threat to the stable operation of the power system.

[0003] First, battery life has become a major concern for inspection operations. Traditional multi-rotor drones, a crucial inspection tool, suffer from limited battery life due to the physical limitations of lithium-ion battery energy density. Despite significant advancements in lithium-ion battery technology, single-flight times in applications like drones, which place extremely high demands on energy density to weight ratios, still generally struggle to exceed 30 minutes. This limitation renders drones inadequate for large-scale, long-distance power grid inspections. Frequent refueling not only increases operational costs but also severely impacts the continuity and timeliness of inspections, making it difficult to meet the demands of modern power systems for efficient and rapid response.

[0004] Secondly, the challenge of thermal management of electronic equipment has become an invisible threat to inspection accuracy. During the long, high-intensity inspections carried out by drones, the waste heat generated by the continuous operation of onboard electronic equipment has become increasingly prominent. If this waste heat is not effectively managed, it will directly cause the processor to automatically reduce its operating frequency due to overheating, thereby affecting data processing speed and accuracy. Furthermore, high temperatures can significantly reduce the measurement accuracy of sensors and may even cause false alarms or missed alarms, seriously interfering with the detection of abnormal discharges in electrical equipment. Furthermore, sustained high temperatures can accelerate chemical reactions within batteries, shortening their cycle life and increasing the frequency and cost of battery replacements, further exacerbating the financial burden of inspection operations.

[0005] Therefore, how to break through the endurance limitation and improve the long-term operation capability of drones; and how to effectively solve the thermal management problem of electronic equipment to ensure high precision and stability during the inspection process have become key technical problems that need to be overcome in the field of abnormal discharge inspection of power equipment. Summary of the Invention

[0006] The present disclosure at least provides a multi-rotor UAV system for performing intelligent inspections on abnormal discharge of power equipment, thereby improving the UAV's endurance and heat dissipation effect.

[0007] According to one aspect of the present disclosure, a multi-rotor drone system for performing intelligent inspection of abnormal discharge of power equipment is provided, comprising: A drone, a solid-state battery mounted on the drone, a wireless charging module mounted on the drone, a flexible photovoltaic film mounted on the back of the drone, a processor integrated within the drone, a power storage detection module integrated on the drone, a visual information acquisition device integrated on the drone, a temperature detection module, a ground charging vehicle, and cloud services.

[0008] The wireless charging module and the flexible photovoltaic film are electrically connected to the solid-state battery for charging the solid-state battery; the power storage detection module is connected to the solid-state battery for detecting the remaining power of the solid-state battery; the power storage detection module is connected to the processor for sending the detected remaining power information to the processor; the visual information acquisition device is used to capture images corresponding to the ground charging vehicle and transmit them to the processor; the temperature detection module is used to capture the temperature of the wireless charging module and transmit it to the processor;

[0009] The power storage detection module broadcasts a charging request when detecting that the remaining power of the drone is lower than a preset power. The cloud service responds to the charging request by screening a target ground charging vehicle based on the current position of the drone and the current position of each charging vehicle and the current power storage value of each charging vehicle, and determines a wireless charging position, a flight path of the drone, and a motion path of the target ground charging vehicle, and transmits the wireless charging position and flight path to the drone, and transmits the wireless charging position and motion path to the target ground charging vehicle.

[0010] The UAV moves to the wireless charging position according to the flight path, and the target ground charging vehicle moves to the wireless charging position according to the motion path. The UAV locates the position of the charging module on the target ground charging vehicle using images collected by the visual information collection device, and controls the UAV to descend to a position where the distance from the charging module is less than or equal to a preset distance; the UAV sends a wake-up message to the target ground charging vehicle through the communication module, and receives an identity authentication request fed back by the target ground charging vehicle in response to the wake-up message. After verifying the identity authentication request, the UAV feeds back battery parameters; the target ground vehicle determines the charging parameters based on the battery parameters, and charges the wireless charging module through the charging module; the UAV uses the temperature detection module to detect the temperature of the UAV's wireless charging module and the charging rate at preset time intervals, and controls the wireless charging to end when the temperature is greater than the preset temperature or the charging rate is greater than the preset rate;

[0011] The surface of the wireless charging module is covered with a metal heat sink; the metal heat sink uses graphene aerogel as a skeleton and its filling phase is gallium-based liquid metal; a micro-turbofan is also provided under the drone; when the temperature detected by the temperature detection module is higher than a preset value, the processor controls the micro-turbofan to rotate to dissipate heat from the wireless charging module;

[0012] The top of the drone is covered with a metamaterial film, and a thermoelectric power generation sheet is installed on the back of the wireless charging module. The thermoelectric power generation sheet uses the temperature difference between the metamaterial film and the wireless charging module to generate electricity and transmits it to the solid-state battery.

[0013] In a possible implementation, the solid-state battery includes a solid-state lithium battery; and the flexible photovoltaic film includes a perovskite solar photovoltaic film.

[0014] In a possible implementation, the wireless charging module includes a multi-coil array wound with Litz wire.

[0015] In a possible implementation, the wireless charging module includes a PCB planar coil of a preset thickness and is integrated into the landing gear of the drone.

[0016] In a possible implementation, the method further includes:

[0017] The processor adjusts the power of the drone in segments according to the remaining power of the solid-state battery.

[0018] In a possible implementation, the gallium-based liquid metal is encapsulated in microcapsules in the skeleton.

[0019] In one possible embodiment, the micro-turbofan is formed by 3D printing titanium alloy and is accelerated through a NACA airfoil duct.

[0020] In a possible implementation, the thermoelectric power generation sheet includes a plurality of N-type semiconductor thermocouples and P-type semiconductor thermocouples, which are connected in series or in parallel and connected via a metal guide sheet.

[0021] In one possible implementation, the solid-state battery is provided with a topology-optimized microchannel cold plate.

[0022] In one possible embodiment, the electrolyte matrix or ceramic separator of the solid-state battery adopts a SiO2-Al2O3 composite.

[0023] The disclosed multi-rotor drone system for intelligent inspection of abnormal discharge of power equipment includes a drone, a solid-state battery mounted on the drone, a wireless charging module mounted on the drone, a flexible photovoltaic film mounted on the back of the drone, a processor integrated within the drone, a power storage detection module integrated on the drone, a visual information acquisition device integrated on the drone, a temperature detection module, a ground charging vehicle, and a cloud service. The wireless charging module and the flexible photovoltaic film are electrically connected to the solid-state battery for charging the solid-state battery; the power storage detection module is connected to the solid-state battery for detecting the remaining power of the solid-state battery; the power storage detection module is connected to the processor for transmitting information on the detected remaining power to the processor; the visual information acquisition device is used to capture images corresponding to the ground charging vehicle and transmit them to the processor; and the temperature detection module is used to capture the temperature of the wireless charging module and transmit it to the processor. When the power storage detection module detects that the remaining power of the drone is lower than the preset power, it broadcasts a charging request; the cloud service responds to the charging request, based on the current position of the drone and the current position of each charging vehicle and the current power storage value of each charging vehicle, screens out the target ground charging vehicle, and determines the wireless charging position, the flight path of the drone and the movement path of the target ground charging vehicle, and sends the wireless charging position and flight path to the drone, and sends the wireless charging position and movement path to the target ground charging vehicle.

[0024] The drone flies to the wireless charging location according to the flight path, and the target ground charging vehicle drives to the wireless charging location according to the motion path. The drone locates the charging module on the target ground charging vehicle using images captured by a visual information acquisition device and controls the drone to descend to a position less than or equal to a preset distance from the charging module. The drone transmits a wake-up message to the target ground charging vehicle via a communication module and receives an authentication request from the target ground charging vehicle in response to the wake-up message. After verifying the authentication request, the drone provides battery parameters. The target ground vehicle determines charging parameters based on the battery parameters and charges the wireless charging module via the charging module. The drone uses a temperature detection module to detect the temperature and charging rate of the drone's wireless charging module at preset time intervals and terminates wireless charging if the temperature exceeds a preset temperature or the charging rate exceeds a preset rate. The surface of the wireless charging module is covered with a metal heat sink; the metal heat sink has a graphene aerogel skeleton and is filled with gallium-based liquid metal. A micro-turbofan is also provided below the drone. When the temperature detected by the temperature detection module exceeds a preset value, the processor controls the micro-turbofan to rotate to dissipate heat from the wireless charging module. The top of the drone is covered with a metamaterial film, and a thermoelectric power generation sheet is installed on the back of the wireless charging module. The thermoelectric power generation sheet uses the temperature difference between the metamaterial film and the wireless charging module to generate electricity and transmit it to the solid-state battery. The above-mentioned technical solution disclosed in the present invention realizes solar charging and thermoelectric charging for the solid-state battery of the drone through flexible photovoltaic film and thermoelectric power generation sheet. At the same time, the cooperation of the power storage detection module, visual information collection equipment, cloud service, processor and ground charging vehicle is used to realize wireless charging of the solid-state battery, effectively improving the endurance of the drone. In addition, the present invention realizes intelligent control of the heat dissipation of the drone through the temperature detection module, micro-turbofan and metal heat sink, which improves the heat dissipation effect of the drone, thereby helping to ensure the efficiency and accuracy of drone inspections.

[0025] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become readily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] The accompanying drawings are provided to facilitate a better understanding of the present invention and do not constitute a limitation of the present disclosure.

[0027] Figure 1 This is one of the structural schematic diagrams of a multi-rotor UAV system for intelligent inspection of abnormal discharge of power equipment according to the present disclosure;

[0028] Figure 2This is the second structural schematic diagram of a multi-rotor UAV system for performing intelligent inspection of abnormal discharge of power equipment according to the present disclosure. DETAILED DESCRIPTION

[0029] The following description of exemplary embodiments of the present disclosure is made in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding. These details should be considered as merely exemplary. Therefore, those skilled in the art will recognize that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0030] In view of the current problems of insufficient endurance and thermal management of electronic equipment in drone inspections of power equipment, the present disclosure proposes a multi-rotor drone system that performs intelligent inspections of abnormal discharges in power equipment. The present disclosure uses flexible photovoltaic films and thermoelectric power generation sheets to achieve solar charging and thermoelectric charging for the drone's solid-state battery. At the same time, the solid-state battery is wirelessly charged by utilizing the coordination of a power storage detection module, visual information acquisition equipment, cloud services, processors, and ground charging vehicles, effectively improving the drone's endurance. In addition, the present disclosure achieves intelligent control of drone heat dissipation through a temperature detection module, a micro-turbofan, and a metal heat sink, thereby improving the drone's heat dissipation effect and helping to ensure the efficiency and accuracy of drone inspections.

[0031] The technical solution of the present disclosure is described below through specific embodiments.

[0032] like Figure 1 、 2 FIG. 1 is a schematic diagram of the structure of a multi-rotor drone system for intelligent inspection of abnormal discharge of power equipment according to this embodiment. Specifically, the system of this embodiment includes:

[0033] A drone 100, a solid-state battery 101 provided on the drone 100, a wireless charging module 102 provided on the drone, a flexible photovoltaic film 103 provided on the back of the drone 100, a processor 104 integrated inside the drone, a power storage detection module 105 integrated on the drone 100, a visual information acquisition device 106 integrated on the drone 100, a temperature detection module 107, a ground charging vehicle 200, and a cloud service 300.

[0034] The wireless charging module 102 and the flexible photovoltaic film 103 are electrically connected to the solid-state battery 101 for charging the solid-state battery 101; the power storage detection module 105 is connected to the solid-state battery 101 for detecting the remaining power of the solid-state battery 101; the power storage detection module 105 is connected to the processor 104 for sending the detected remaining power information to the processor 104; the visual information acquisition device 106 is used to collect images corresponding to the ground charging vehicle 200 and transmit them to the processor 104; the temperature detection module 107 is used to collect the temperature of the wireless charging module 102 and transmit it to the processor 104.

[0035] When the power storage detection module 105 detects that the remaining power of the drone 100 is lower than the preset power, it broadcasts a charging request; in response to the charging request, the cloud service 300 screens out the target ground charging vehicle based on the current position of the drone and the current position of each charging vehicle and the current power storage value of each ground charging vehicle 200, and determines the wireless charging position, the flight path of the drone 100 and the movement path of the target ground charging vehicle, and sends the wireless charging position and flight path to the drone, and sends the wireless charging position and movement path to the target ground charging vehicle.

[0036] The UAV 100 moves to the wireless charging position according to the flight path, and the target ground charging vehicle drives to the wireless charging position according to the motion path. The UAV 100 uses the image collected by the visual information acquisition device 106 to locate the position of the charging module on the target ground charging vehicle, and controls the UAV 100 to descend to a position where the distance from the charging module is less than or equal to the preset distance; the UAV 100 sends a wake-up message to the target ground charging vehicle through the communication module, and receives an identity authentication request fed back by the target ground charging vehicle in response to the wake-up message. After verifying the identity authentication request, the UAV feeds back battery parameters; the target ground vehicle determines the charging parameters based on the battery parameters, and charges the wireless charging module 102 through the charging module; the UAV 100 uses the temperature detection module 107 to detect the temperature and charging rate of the wireless charging module 102 of the UAV 100 every preset time period, and controls the wireless charging to end when the temperature is greater than the preset temperature or the charging rate is greater than the preset rate.

[0037] The surface of the wireless charging module 102 is covered with a metal heat sink; the metal heat sink uses graphene aerogel as a skeleton, and its filling phase is gallium-based liquid metal.

[0038] The graphene aerogel skeleton has ultra-high thermal conductivity (up to 5000 W / m·K) and low density, and is used to quickly conduct heat away from the wireless charging module 102 while reducing weight to avoid affecting the drone's flight endurance.

[0039] The gallium-based liquid metal filler phase offers high thermal conductivity (approximately 30 W / m·K) and phase-change heat absorption, further evenly distributing heat and adapting to localized high-temperature areas of the heat source through liquid flow. The gallium-based liquid metal is encapsulated in microcapsules within the framework.

[0040] The density of graphene aerogel can be as low as 0.16 mg / cm³, reducing the weight by more than 70% compared to traditional copper heat sinks, while the non-volatile nature of gallium-based liquid metal ensures long-term stability.

[0041] A micro-turbofan is also installed beneath the drone 100. When the temperature detected by the temperature detection module exceeds a preset value, the processor 104 controls the micro-turbofan to rotate to dissipate heat from the wireless charging module 102. The micro-turbofan is formed from 3D-printed titanium alloy and is accelerated by a NACA airfoil.

[0042] The micro-turbofan can be activated on demand, meaning it will only operate when the temperature exceeds a preset threshold, avoiding continuous energy consumption and balancing heat dissipation efficiency with energy consumption. For example, the turbofan can be triggered at 60°C, quickly reducing the module temperature to below 40°C.

[0043] It can also achieve directional airflow enhancement, with the turbofan directly aimed at the wireless charging module 102, and forced convection can increase the heat dissipation efficiency by 3-5 times.

[0044] The above-mentioned cooling solution is compact in space. The metal heat sink integrates high thermal conductivity materials and liquid metal, replacing the bulky design of traditional heat sink fins + fans, which is suitable for the small space of drones.

[0045] It can also implement dynamic thermal management, automatically switching between "passive + active" hybrid modes through temperature feedback, and ensure that the wireless charging module maintains a safe temperature when transmitting 15W+ power.

[0046] At the same time, reliability is improved, avoiding the decrease in wireless charging efficiency caused by high temperature (in the Qi standard, 1-2% efficiency may be lost for every 10°C temperature increase) or the shortening of the life of electronic components (under the Arrhenius model, the life doubles for every 10°C temperature drop).

[0047] The above design solves the contradiction between high power density heat dissipation and lightweight in drone wireless charging by combining material innovation and intelligent control. The technical effect is significantly better than a single heat dissipation solution.

[0048] The unmanned aerial vehicle 100 is covered with a metamaterial film on the top, and a thermoelectric power generation sheet is installed on the back of the wireless charging module 102. The thermoelectric power generation sheet generates electricity by using the temperature difference between the metamaterial film and the wireless charging module 102, and transmits the electricity to the solid-state battery 101.

[0049] The thermoelectric power generation sheet includes a plurality of N-type semiconductor thermocouples and P-type semiconductor thermocouples, which are connected in series or in parallel and connected by a metal current guide sheet.

[0050] The thermoelectric power generation sheet can realize waste heat utilization. The wireless charging module usually generates a certain amplitude of temperature rise when working. Part of the waste heat can be converted into electrical energy by the thermoelectric power generation sheet, which is charged back to the solid-state battery, thereby prolonging the endurance time of the unmanned aerial vehicle. The metamaterial film plays a role in enhancing the temperature difference. For example, selective radiative cooling: the metamaterial film radiates heat to the low-temperature sky through high emissivity in the infrared band, reducing the surface temperature of the film, and forming a larger temperature difference with the back of the wireless charging module; the metamaterial film has high solar reflectivity, which can reduce sunlight heating and further maintain the temperature of the low-temperature side.

[0051] A passive cooling double mechanism can be realized. Specifically, the radiative cooling of the metamaterial film can reduce the temperature of the top of the unmanned aerial vehicle, indirectly reducing the heat dissipation pressure of the wireless charging module. The thermoelectric power generation sheet acts as a heat conduction path when generating electricity, transferring part of the heat from the charging module to the metamaterial film side to assist in heat dissipation. Reducing the demand for active heat dissipation, through the synergistic effect of waste heat power generation and radiative cooling, the starting frequency or running time of the micro turbofan can be reduced, further saving energy consumption.

[0052] The metamaterial film has the characteristics of lightness and thinness, and its thickness can be less than 0.1 mm, and its weight can be ignored (<10 g / m²), which significantly reduces the weight compared with traditional heat dissipation structures (such as metal fins). The compactness of the thermoelectric power generation structure, a micro thermoelectric power generation sheet module (such as 10x10mm) can be directly attached to the back of the charging module without additional space occupation.

[0053] The above design forms a closed loop of “wireless charging heating → thermoelectric power generation sheet generating electricity → charging battery → supporting endurance”, which improves the energy efficiency of the system and realizes energy recycling. At the same time, the heat dissipation problem and the energy recovery demand are solved, which is suitable for high-power density unmanned aerial vehicle design and realizes thermal-electricity collaborative management.

[0054] Compared with the traditional scheme, if only heat sinks or fans are used, energy is dissipated in the form of waste heat; while the above design converts waste heat into usable electrical energy, and at the same time improves the heat dissipation efficiency through the metamaterial film, realizing double benefits.

[0055] The solid-state battery features a topologically optimized microchannel cold plate, achieving targeted heat dissipation. The topologically optimized microchannels (e.g., 0.1-1mm width and biomimetic fractal structure) match the internal heat distribution of the battery, improving local heat transfer coefficients by 30%-50% (referring to numerical simulation results), and rapidly dissipating heat from hotspots (e.g., heat flux density ≥5W / cm² during fast charging). Highly thermally conductive materials (e.g., graphene gaskets) are used at the interface between the cold plate and the solid-state battery, reducing thermal resistance by over 60% and ensuring temperature uniformity (ΔT ≤ 2°C). Lightweight and space-efficient: Topological optimization reduces redundant material, making the cold plate 20%-40% lighter than traditional homogeneous cold plates. The compact flow channel layout makes it suitable for the demanding size requirements of drones. Phase change materials (e.g., paraffin) embedded within the microchannels further absorb transient thermal shock (e.g., peak temperatures during 10°C fast charging).

[0056] The electrolyte matrix or ceramic separator of solid-state batteries uses SiO2-Al2O3 composites, which can achieve mechanical-thermal synergistic strengthening: the fracture toughness of the SiO2-Al2O3 composite matrix (~2.5 MPa·m¹ / ²) is higher than that of pure Li7La3Zr2O12 (LLZO, ~1.5MPa·m¹ / ²), which suppresses the risk of dendrite puncture and extends the cycle life to more than 2000 times (under NCM811 positive electrode system). Nano-Al2O3 doping can reduce the sintering temperature (for example, from 1200°C to 900°C), reduce preparation energy consumption, and improve density (>95%). Interface impedance optimization: The lithium ion adsorption characteristics of SiO2 (surface -OH groups) and the high ionic conductivity of Al2O3 (10⁻ 4 S / cm level) synergistically reduces electrolyte / electrode interface impedance (≤10 Ω·cm²), improving rate performance (supporting 5C fast charging). Enhanced thermal stability: The composite exhibits no phase change decomposition at high temperatures (>300°C), significantly improving safety compared to organic electrolytes (ignition point <200°C) (can pass puncture and overcharge tests).

[0057] The solid-state battery may include a solid-state lithium battery; and the flexible photovoltaic film may include a perovskite solar photovoltaic film.

[0058] The wireless charging module includes a multi-coil array wound with Litz wire.

[0059] The use of Litz wire multi-coil array has the following benefits: 1) High efficiency energy transmission

[0060] Low skin effect loss: Litz cable is made of multiple strands of insulated fine wires twisted together, effectively suppressing the high-frequency skin effect (for example, the loss at 100kHz is reduced by more than 50%), and the transmission efficiency can reach 92%-95% (compared to 85%-90% of ordinary copper wire).

[0061] Multi-coil adaptive coupling: Array layouts (such as 3×3 coils) dynamically switch activation areas to achieve drone hover position tolerance (±50mm deviation still maintains over 85% efficiency) without the need for precise alignment.

[0062] 2) Thermal management optimization

[0063] The distributed winding structure of the Litz wire naturally forms a heat dissipation duct, which, combined with the metal heat sink (graphene aerogel + liquid metal mentioned above), can reduce the temperature rise by 10-15°C (compared to solid coils).

[0064] 3) Lightweight and reliability

[0065] Maintaining low resistance even at high current density (>20A / mm²), it uses 30% less copper and is lighter than PCB coils of the same power.

[0066] Flexible winding adapts to the curved surface of the drone shell and has strong vibration resistance (such as no structural fatigue under 10G acceleration).

[0067] The wireless charging module includes a PCB planar coil of a preset thickness and is integrated into the landing gear of the drone.

[0068] The technical effects of integrating PCB planar coils into landing gear are as follows:

[0069] 1) Advantages of spatial and structural integration

[0070] Zero additional volume occupation: The coil is embedded inside the landing gear (e.g. FR4 substrate thickness 1.6mm), eliminating the need for independent installation space, making it suitable for compact UAV designs.

[0071] Integrated structure and function: The carbon fiber reinforced shell of the landing gear also serves as a mechanical protection layer for the coil, improving impact resistance (such as withstanding a 1m height impact in a drop test).

[0072] 2) Manufacturing and cost-effectiveness

[0073] Standardized production: PCB coils are mass-produced through an etching process, with higher consistency than hand-wound Litz wires and a 40%-60% reduction in cost.

[0074] Integrated electronic components: Driver circuits (such as MOSFETs and capacitors) can be integrated on the same PCB to reduce cable losses and EMI interference.

[0075] 3) Environmental adaptability

[0076] Waterproof and dustproof: The coil is protected by the landing gear sealing design (such as IP67 packaging) to adapt to rainy or dusty environments.

[0077] Short heat conduction path: The PCB copper layer is directly connected to the metal landing gear, and heat is quickly conducted away through the bracket (the equivalent thermal conductivity is increased to over 200W / m·K).

[0078] In some embodiments, the processor of the aforementioned drone can also adjust the drone's power in segments based on the remaining charge (SOC) of the solid-state battery. For example, if SOC < 50%, the drone will operate at full power (1kW); if SOC ≥ 50%, the drone will operate at 300W (to reduce heat loss).

[0079] This embodiment optimizes thermal management and improves safety. 1) Actively suppresses heat accumulation: When the SOC is ≥ 50%, the power is reduced from 1kW to 300W, and the current is reduced by approximately 70% (assuming constant voltage). According to Joule's law (P=I²R), the heat generated by the wireless charging module is reduced to approximately 9% (30%² of the original heat), significantly reducing temperature rise (for example, from ΔT=40°C to ΔT=10°C). Combining the aforementioned graphene heat sink with a micro-turbofan further reduces the need for active cooling (shortening the turbofan's operating time by over 50%) and extending the fan's life. 2) Prevents the risk of thermal runaway: Reducing power at high SOC levels avoids local overheating caused by rapid ion migration within the battery (for example, temperatures above 60°C can trigger SEI membrane decomposition). This is particularly beneficial to the stability of the SiO2-Al2O3 composite electrolyte interface in solid-state batteries. In addition, battery life and cycle performance are enhanced. 1) Reducing stress in the high SOC range: When lithium-ion batteries are at high SOC (e.g., >80%), high current charging will accelerate positive electrode lattice distortion (e.g., collapse of the NCM material layered structure). Reducing the power slows the rate of lithium ion insertion, and cycle life can be increased by 20%-30% (experimental data). 2) The dendrite growth rate of solid-state batteries is positively correlated with current density. The 300W low-power mode can delay the risk of dendrites penetrating the separator. 3) Balancing cell aging: The segmented power strategy matches the battery's capacity-internal resistance characteristic curve (internal resistance increases at high SOC), avoiding efficiency loss in the high internal resistance range (η=I²R), and reducing capacity attenuation differences between cells caused by inconsistencies. Furthermore, to achieve a balance between energy efficiency and battery life, 1) Dynamic energy efficiency is maximized: Full-power fast charging is used at low SOC (<50%), prioritizing rapid recovery of available energy (e.g., charging to 50% SOC in 10 minutes) to meet urgent mission requirements; power is reduced at high SOC, increasing system efficiency from 85% to 92% (low current reduces conduction / conversion losses), and reducing total charging energy consumption by approximately 15% (measured data). 2) Flexibility in battery life strategy: Low-power charging is used during mission intervals (e.g., hovering inspections) to extend the solid-state battery's float charge life (avoiding continuous full voltage stress); combined with waste heat recovery from the aforementioned thermoelectric generator, this further compensates for energy input in 300W mode.

[0080] Various embodiments of the systems and techniques described above can be implemented in digital electronic circuit systems, integrated circuit systems, field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), system-on-chip systems (SOCs), programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include being implemented in one or more computer programs that are executable and / or interpreted on a programmable system that includes at least one programmable processor, which can be a special purpose or general purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0081] The program code for implementing the method of the present disclosure can be written in any combination of one or more programming languages. These program codes can be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device so that when the program code is executed by the processor or controller, the functions / operations specified in the flow chart and / or block diagram are implemented. The program code can be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0082] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), optical fibers, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0083] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0084] The systems and techniques described herein can be implemented in a computing system that includes back-end components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes front-end components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such back-end components, middleware components, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network (LAN), a wide area network (WAN), and the Internet.

[0085] A computer system may include a client and a server. The client and server are generally remote from each other and typically interact through a communication network. The client-server relationship arises through computer programs running on the respective computers and having a client-server relationship with each other. The server may be a cloud server, a server in a distributed system, or a server integrated with a blockchain.

[0086] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in this disclosure can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved. This is not a limitation herein.

[0087] The above specific embodiments do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure shall be included within the scope of protection of this disclosure.

Claims

1. A multi-rotor drone system for intelligent inspection of abnormal discharge of power equipment, characterized in that: include: A drone, a solid-state battery mounted on the drone, a wireless charging module mounted on the drone, a flexible photovoltaic film mounted on the back of the drone, a processor integrated within the drone, a power storage detection module integrated on the drone, a visual information acquisition device integrated on the drone, a temperature detection module, a ground charging vehicle, and cloud services. The wireless charging module and the flexible photovoltaic film are electrically connected to the solid-state battery for charging the solid-state battery; the power storage detection module is connected to the solid-state battery for detecting the remaining power of the solid-state battery; the power storage detection module is connected to the processor for sending the detected remaining power information to the processor; the visual information acquisition device is used to capture images corresponding to the ground charging vehicle and transmit them to the processor; the temperature detection module is used to capture the temperature of the wireless charging module and transmit it to the processor; The power storage detection module broadcasts a charging request when detecting that the remaining power of the drone is lower than a preset power; In response to the charging request, the cloud service selects a target ground charging vehicle based on the current location of the drone, the current locations of the charging vehicles, and the current power storage value of each ground charging vehicle, and determines a wireless charging position, a flight path of the drone, and a motion path of the target ground charging vehicle, and sends the wireless charging position and flight path to the drone, and sends the wireless charging position and motion path to the target ground charging vehicle; The UAV moves to the wireless charging position according to the flight path, and the target ground charging vehicle moves to the wireless charging position according to the motion path. The UAV locates the position of the charging module on the target ground charging vehicle using images collected by the visual information collection device, and controls the UAV to descend to a position where the distance from the charging module is less than or equal to a preset distance; the UAV sends a wake-up message to the target ground charging vehicle through the communication module, and receives an identity authentication request fed back by the target ground charging vehicle in response to the wake-up message. After verifying the identity authentication request, the UAV feeds back battery parameters; the target ground vehicle determines the charging parameters based on the battery parameters, and charges the wireless charging module through the charging module; the UAV uses the temperature detection module to detect the temperature of the UAV's wireless charging module and the charging rate at preset time intervals, and controls the wireless charging to end when the temperature is greater than the preset temperature or the charging rate is greater than the preset rate; The surface of the wireless charging module is covered with a metal heat sink; the metal heat sink uses graphene aerogel as a skeleton and its filling phase is gallium-based liquid metal; a micro-turbofan is also provided under the drone; when the temperature detected by the temperature detection module is higher than a preset value, the processor controls the micro-turbofan to rotate to dissipate heat from the wireless charging module; The top of the drone is covered with a metamaterial film, and a thermoelectric power generation sheet is installed on the back of the wireless charging module. The thermoelectric power generation sheet uses the temperature difference between the metamaterial film and the wireless charging module to generate electricity and transmits it to the solid-state battery.

2. The system according to claim 1, wherein: The solid-state battery includes a solid-state lithium battery; the flexible photovoltaic film includes a perovskite solar photovoltaic film.

3. The system according to claim 1, wherein: The wireless charging module includes a multi-coil array wound with Litz wire.

4. The system according to claim 1, wherein: The wireless charging module includes a PCB planar coil of a preset thickness and is integrated into the landing gear of the drone.

5. The system according to claim 1, wherein: Said include: The processor adjusts the power of the drone in segments according to the remaining power of the solid-state battery.

6. The system according to claim 1, wherein: The gallium-based liquid metal is encapsulated in microcapsules in the skeleton.

7. The system according to claim 1, wherein: The micro-turbofan is formed by 3D printing titanium alloy and is accelerated by a NACA airfoil duct.

8. The system according to claim 1, wherein: The thermoelectric power generation sheet includes a plurality of N-type semiconductor thermocouples and P-type semiconductor thermocouples, which are connected in series or in parallel and are connected through a metal guide sheet.

9. The system according to claim 1, wherein: The solid-state battery is provided with a topology optimized microchannel cold plate.

10. The system according to claim 1, wherein: The electrolyte matrix or ceramic diaphragm of the solid-state battery adopts SiO2-Al2O3 composite.

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