Unmanned aerial vehicle multifunctional module charging management method, system and terminal

Abstract

The invention relates to the technical field of charging management, and discloses an unmanned aerial vehicle multifunctional module charging management method, system and terminal, and the method charges different types of batteries based on a battery cabinet comprising a plurality of battery packs and battery layers. Firstly, power data of a battery, a battery layer and a battery pack in charging are obtained, the battery pack is provided with a point heat dissipation module, and heat dissipation power is adjusted according to positive correlation of a real-time power value of the battery pack. The battery cabinet is provided with a total heat dissipation module, and the heat dissipation power is adjusted according to positive correlation of the comparison result of the real-time total power value and the reference power value in the cabinet. And the power distribution uniformity of the battery pack is calculated, and when the power distribution uniformity is within a preset range, the heat dissipation power increment of the point heat dissipation module with the maximum heat dissipation power not reached through inverse correlation adjustment is calculated. According to the technical scheme, heat dissipation can be accurately regulated and controlled, heat dissipation resources are reasonably distributed, local and overall overheating is effectively avoided, and the safety and efficiency of unmanned aerial vehicle battery charging are improved.

Description

Technical Field

[0001] This application relates to the technical field of charging management, and in particular, to a method, system, and terminal for charging management of multi-functional modules of drones. Background Art

[0002] In the current era of rapid technological development, the application fields of drones are showing an increasingly extensive trend. From farmland mapping and pesticide spraying in the agricultural field to aerial filming and unique perspective capture in the film and television industry; from cargo delivery in the logistics industry to disaster reconnaissance and material delivery in emergency rescue, the figure of drones can be seen everywhere, injecting new vitality into the development of various industries. Correspondingly, the models of drones are also increasing day by day like bamboo shoots after a spring rain. Different application scenarios have given birth to various drones with different functions, such as industrial drones with a focus on long endurance, consumer-grade aerial photography drones that are small and portable, and professional mapping drones with special functions, etc.

[0003] Due to the different models of drones, there are also significant differences in their charging management methods. Each drone is equipped with a corresponding charger to ensure that the drone can be charged in a safe and efficient state. However, when multiple models of drones are charged together, problems follow one after another. First of all, the power supply and wire harnesses are in a mess, and the wire harnesses of various chargers with different specifications are intertwined, which not only affects the charging efficiency but also greatly increases the management difficulty. In the battery cabinet of the power supply, frequent line plugging and unplugging is the norm, which not only easily causes wear of the line interfaces but also may lead to problems such as poor contact. More seriously, once a certain power supply overheats during the charging process, due to the relatively enclosed space in the battery cabinet, the heat is difficult to dissipate quickly, and it is extremely easy to drive the temperature in the entire battery cabinet to rise sharply. In this high-temperature environment, not only may the drone and charger equipment be damaged, but more seriously, there are great safety hazards, and it is extremely easy to cause safety accidents such as fires, posing a serious threat to the safety of personnel and property. Summary of the Invention

[0004] To improve the safety of the battery cabinet of the drone, this application provides a method, system, and terminal for charging management of multi-functional modules of drones.

[0005] In a first aspect, this application provides a method for charging management of multi-functional modules of drones, adopting the following technical solution: A method for charging management of multi-functional modules of drones, based on a battery cabinet, the battery cabinet includes a plurality of battery groups, the battery group includes a plurality of battery layers, and the battery layer is used to charge a plurality of batteries of different types; the method includes the following steps: Obtain the battery power data of the battery being charged, the layer power data of the battery layer, and the group power data of the battery pack, where each battery pack is correspondingly provided with a spot heat dissipation module; Calculate the real-time power value of the battery pack according to multiple pieces of the real-time power data, and adjust the heat dissipation power of the spot heat dissipation module in positive correlation with the real-time power value. The higher the real-time power value, the greater the heat dissipation power of the spot heat dissipation module; the lower the real-time power value, the smaller the heat dissipation power of the spot heat dissipation module; A total heat dissipation module is arranged in the battery cabinet. Calculate the real-time total power value of the battery cabinet according to multiple pieces of the real-time power values. If the real-time total power value is greater than a preset reference power value inside the cabinet, then adjust the heat dissipation power of the total heat dissipation module in positive correlation with the real-time total power value. The greater the real-time total power value, the greater the heat dissipation power of the total heat dissipation module; the smaller the real-time total power value, the smaller the heat dissipation power of the total heat dissipation module; Calculate the power distribution uniformity of multiple battery packs in the battery cabinet according to multiple pieces of the real-time power values; if the power distribution uniformity is within a preset first distribution reference range, then search for the spot heat dissipation module whose heat dissipation power has not reached the maximum value; adjust the increment of the heat dissipation power of the searched spot heat dissipation module in negative correlation with the power distribution uniformity. The higher the power distribution uniformity, the smaller the increment of the heat dissipation power of the spot heat dissipation module; the lower the power distribution uniformity, the greater the increment of the heat dissipation power of the spot heat dissipation module.

[0006] By adopting the above technical solution, by obtaining the battery power data of the battery being charged, the layer power data of the battery layer, and the group power data of the battery pack in real time, the real-time power conditions of each battery, battery layer, and battery pack can be accurately grasped. Adjusting the heat dissipation power of the point heat dissipation module in positive correlation with the real-time power value can accurately dissipate heat for battery packs with different powers. When the real-time power value is high, the heat dissipation power is increased to avoid potential safety hazards caused by local overheating and improve the safety of the charging process. Calculate the real-time total power value of the battery cabinet, and adjust the heat dissipation power of the total heat dissipation module in positive correlation according to the comparison result between it and the preset reference power value inside the cabinet. When the real-time total power value is greater than the reference power value inside the cabinet, the heat dissipation power of the total heat dissipation module is increased in time to effectively cope with the heat generated by the entire battery cabinet due to excessive power, avoid damage to equipment or safety accidents caused by too high temperature inside the battery cabinet, further optimize the overall heat dissipation efficiency, and ensure the safety of the charging equipment and the property of personnel. Calculate the power distribution uniformity of multiple battery packs inside the battery cabinet. If the power distribution uniformity is within the preset first distribution reference range, search for the point heat dissipation module whose heat dissipation power has not reached the maximum value, and adjust the increment of its heat dissipation power in negative correlation according to the power distribution uniformity. In this way, the heat dissipation resources can be more reasonably allocated. When the power distribution uniformity is relatively high, the increment of the heat dissipation power of the point heat dissipation module is appropriately reduced to avoid waste of resources caused by excessive heat dissipation; when the power distribution uniformity is relatively low, the increment of the heat dissipation power is increased to ensure balanced heat dissipation of each battery pack, thereby improving the heat dissipation rationality and stability of the entire charging management system.

[0007] Optionally, in the step of obtaining the battery power data of the battery being charged, the layer power data of the battery layer, and the group power data of the battery pack, the following sub-steps are further included: Obtain the model label of the battery to be charged, match the corresponding battery layer according to the model label, guide the battery to be charged into the battery layer for charging, mark the battery to be charged as the battery being charged, and obtain the battery power data when the battery being charged is charging; Calculate the layer power data according to all the battery power data corresponding in the battery layer; Each battery pack is correspondingly provided with a power supply module, and the power supply module is used to supply power to the corresponding multiple battery layers; obtain the real-time power data of the battery pack to which the battery layer belongs from the power supply module, and the rated power difference between multiple power supply modules is less than the preset rated power difference reference value.

[0008] By adopting the above technical solution, the model label of the battery to be charged is obtained, and the corresponding battery layer is matched according to the model label, guiding the battery into the appropriate battery layer for charging. Since different models of UAV batteries may require different charging conditions, this precise matching can ensure that each battery can be charged in a suitable environment, avoiding charging anomalies caused by mismatching and effectively improving the charging efficiency. Calculate the layer power data based on all the battery power data in the battery layer. This can clearly understand the power usage of each battery layer. When there is a power anomaly in a certain battery layer, it can quickly locate the specific battery layer, facilitating fault troubleshooting and maintenance, and improving the reliability and maintainability of the entire charging management system. A power supply module is correspondingly set for each battery pack to supply power to multiple battery layers, and the rated power difference between multiple power supply modules is less than the preset rated power difference reference value. This ensures the power supply stability and consistency of each battery pack, avoiding the impact on the batteries of different battery packs due to excessive power differences of the power supply modules, and ensuring that all batteries can be charged in a stable power supply environment, further improving the safety and stability of charging.

[0009] Optionally, in the step of obtaining the model label of the battery to be charged, matching the corresponding battery layer according to the model label, and guiding the battery to be charged into the battery layer for charging, the method further includes: Obtain a put-in instruction, mark the battery to be charged according to the put-in instruction, and read the model label of the battery to be charged. The model label is used to classify multiple UAV batteries according to the charging power of the UAV battery. The UAV batteries with the same model label are located in the battery layer corresponding to the type, and each model label corresponds to multiple battery layers; multiple model labels correspond to the battery layer. Calculate the power density values in all the battery packs, where the power density value = real-time power data / the number of batteries being charged; Match the corresponding power density range from the preset power density database according to the battery power data through a preset first matching strategy. Among them, the values within the power density range are inversely correlated with the battery power data. The larger the battery power data, the smaller the values within the power density range; the smaller the battery power data, the larger the values within the power density range; Select the battery pack with the smallest power density value from the battery packs corresponding to the values within the power density range; Match the corresponding battery layer from the selected battery pack according to the model label, and mark the charging position in the battery layer for charging the battery.

[0010] By adopting the above technical solution, the method includes obtaining the put-in instruction to mark the battery to be charged and reading the model label, classifying the drones' batteries according to the charging power of the drones' batteries, placing the drones' batteries with the same model label on the corresponding battery layer for charging, and each model label corresponds to multiple battery layers, and each battery layer also corresponds to multiple model labels. This classification method can more precisely match the charging requirements of different models of batteries, improve the charging adaptability, and ensure that various batteries can be charged under suitable conditions. Calculate the power density values of all battery packs (the ratio of the real-time power data to the number of batteries being charged), which provides a quantitative basis for reasonably allocating the charging positions of the batteries. In this way, the real-time power of the battery packs and the current number of charged batteries can be comprehensively considered, so as to more evenly utilize the charging resources of the battery packs as a whole. According to the battery power data, match the corresponding power density range from the preset power density database through the preset first matching strategy, and the range value is inversely correlated with the battery power data. This design takes into account that batteries with different powers have different requirements for power density. Batteries with higher power require a relatively loose (smaller value) power density range to ensure that each battery can be charged in a suitable power density environment, further optimizing the charging effect. Select the battery pack with the smallest power density value from the battery packs corresponding to the values in the power density range. This operation preferentially allocates the batteries to be charged to the battery packs with relatively lighter loads, avoiding abnormal charging caused by overloading of the battery packs, which is beneficial to extending the service life of the battery packs and related equipment, and at the same time improving the overall charging efficiency. Match the corresponding battery layer from the selected battery pack according to the model label, and mark the charging position in the battery layer. This process realizes the full-process automatic operation of the battery to be charged from model identification to specific charging position determination, improves the accuracy and efficiency of charging management, and reduces errors that may be caused by manual intervention.

[0011] Optionally, the method for obtaining the put-in instruction further includes the following sub-steps: Obtain the call frequency of the put-in instruction within a preset time period; Regulate the coverage width of the power density range positively according to the call frequency. The higher the call frequency, the wider the coverage width; the lower the call frequency, the narrower the coverage width; Regulate the reference power value in the cabinet inversely according to the call frequency. The higher the call frequency, the smaller the reference power value in the cabinet; the lower the call frequency, the larger the reference power value in the cabinet.

[0012] By adopting the above technical solution, by obtaining the call frequency of the charging instruction within a preset time period, the frequency of battery charging can be understood. According to this frequency, relevant parameters are dynamically adjusted, enabling the charging management system to better adapt to different usage scenarios and changes in charging requirements, and enhancing the flexibility and adaptability of the system. The coverage width of the power density range is adjusted positively, that is, the higher the call frequency, the wider the coverage width. When the charging operation is frequent, a wider power density range can provide a more flexible matching space for more batteries with different powers, avoiding the situation where the battery cannot find a suitable charging environment due to too narrow a power density range, improving the utilization rate of charging resources, and ensuring the efficient progress of the charging process. The reference power value in the cabinet is adjusted negatively, and the higher the call frequency, the smaller the reference power value in the cabinet. When the charging operation is frequent, it means that there may be more batteries in the battery cabinet and the overall power is larger. At this time, reducing the reference power value in the cabinet can enable the total heat dissipation module to start increasing the heat dissipation intensity at a relatively low power threshold, preventing in advance the problem of heat accumulation caused by too high a charging power and too many batteries, ensuring that the battery cabinet operates within a safe temperature range, effectively avoiding equipment damage and safety accidents caused by high temperature, and guaranteeing the safety of the charging process.

[0013] Optionally, in the step of matching the corresponding battery layer from the selected battery pack according to the model label and marking the charging positions in the battery layer for charging the battery, the following sub-steps are further included: Obtain the sensed temperature values generated by temperature sensors at multiple positions in the battery cabinet; Calculate the sensed comprehensive temperature value based on the multiple sensed temperature values; If the sensed comprehensive temperature value is greater than a preset first reference temperature value, disconnect all the power modules.

[0014] By adopting the above technical solution, by obtaining the sensed temperature values generated by temperature sensors at multiple positions inside the cabinet, it is possible to comprehensively and in real-time grasp the temperature information at different positions inside the battery cabinet. This enables the system to promptly detect local or overall abnormal temperature increases inside the battery cabinet, providing accurate data support for subsequent measures. Calculating the sensed comprehensive temperature value based on multiple sensed temperature values can comprehensively evaluate the temperature condition inside the battery cabinet, avoiding misjudging the overall situation due to the failure of a single sensor or local temperature anomalies. By comprehensively considering the temperatures at various positions, it can more accurately reflect the actual thermal environment inside the battery cabinet, providing a more reliable basis for system decision-making. When the sensed comprehensive temperature value is greater than the preset first reference temperature value, the system automatically disconnects all power modules. This measure can quickly cut off the charging power supply, preventing further potential dangers caused by excessive temperature, such as battery overheating and explosion, charger damage, or even fire. By cutting off the power in a timely manner, it effectively protects equipment such as the UAV battery, charger, and battery cabinet, while minimizing the safety threats to personnel and the surrounding environment, greatly improving the safety of the charging process.

[0015] Optionally, in the step of matching the corresponding battery layer from the selected battery packs according to the model label and marking the charging positions in the battery layer for charging the battery, the following sub-steps are further included: Obtain the infrared image data inside the cabinet taken outside the battery cabinet; Calculate the infrared temperature values of multiple points inside the cabinet from the infrared image data inside the cabinet; Calculate the infrared comprehensive temperature value based on multiple infrared temperature values; Calculate the comprehensive temperature value inside the cabinet based on the sensed comprehensive temperature value and the infrared comprehensive temperature value. If the comprehensive temperature value inside the cabinet is greater than the preset second reference temperature value, then disconnect all the power modules; Wherein, the first reference temperature value is less than the second reference temperature value.

[0016] By adopting the above technical solution, infrared image data inside the battery cabinet captured outside the cabinet is obtained, and based on this, infrared temperature values at multiple internal points of the cabinet are calculated, and then an infrared comprehensive temperature value is obtained. This process provides another temperature monitoring dimension different from temperature sensors, and using infrared imaging technology can discover some local high-temperature points that temperature sensors may miss, comprehensively supplementing and improving the acquisition of temperature information inside the battery cabinet. By combining the sensor comprehensive temperature value and the infrared comprehensive temperature value, the comprehensive temperature value inside the cabinet is calculated. This data calculation method that integrates two different monitoring means can more accurately reflect the actual temperature condition inside the battery cabinet. By comprehensively considering various temperature data sources, the errors or limitations that may occur in a single monitoring method are avoided, providing a more accurate basis for system judgment. The first reference temperature value is set to be less than the second reference temperature value. When the sensor comprehensive temperature value is greater than the first reference temperature value, the power module is disconnected, and when the comprehensive temperature value inside the cabinet is greater than the higher second reference temperature value, the power module is also disconnected. This hierarchical setting provides a multi-level safety protection mechanism for the battery cabinet. The lower first reference temperature value triggers a power-off, which can take preliminary protection measures in a timely manner when the temperature just becomes abnormal; while the higher second reference temperature value, as a more stringent threshold, ensures a power-off again when the comprehensive temperature further rises and the degree of danger increases, further strengthening the protection of the charging equipment and personnel safety. By integrating various temperature monitoring methods and hierarchical power-off strategies, the safety and reliability of the charging management system are greatly improved. Through more comprehensive temperature monitoring and more accurate temperature assessment, power-off measures can be taken in a timely manner at different stages when the temperature inside the battery cabinet is abnormal, effectively avoiding various safety accidents caused by excessive temperature and ensuring the stability and safety of the charging process.

[0017] Optionally, based on a dry ice fire extinguisher being provided inside the battery cabinet, the method further includes the following steps: Calculate the temperature rise rate of the temperature increase of the comprehensive temperature value inside the cabinet; If the temperature rise rate is greater than a preset speed threshold and the comprehensive temperature value inside the cabinet is greater than a preset third reference temperature value, then start a part of the dry ice fire extinguisher; Wherein, the first reference temperature value is less than the third reference temperature value which is less than the second reference temperature value.

[0018] By adopting the above technical solutions, by calculating the temperature rise rate of the comprehensive temperature value inside the cabinet and combining the third reference temperature value as a trigger condition, timely and accurate early warning and response to potential dangers of the battery cabinet are realized, avoiding misjudgment of single-condition judgment. The first reference temperature value is set to be less than the third reference temperature value which is less than the second reference temperature value, constructing a multi-level safety protection system, coping with different levels of danger, and at the same time partially activating the dry ice fire extinguisher, rationally allocating fire extinguishing resources. In addition, the dry ice fire extinguisher causes little damage to equipment, can reduce secondary damage to the equipment inside the battery cabinet, and helps to control the fire in a timely manner, ensuring the continuous operation of the battery cabinet system, and improving the reliability and stability of the entire charging system.

[0019] Optionally, based on the fact that a fire extinguishing device is provided inside the battery cabinet, the method further includes the following steps: If the power distribution uniformity is greater than the maximum value within the first distribution reference range, a warning prompt is given; calculate the increase value of the power distribution uniformity within a preset time period, and if the increase value is greater than a preset change reference value, start the fire extinguishing device.

[0020] By adopting the above technical solutions, when the power distribution uniformity is greater than the maximum value within the first distribution reference range, the system triggers a warning prompt. This means that there is a large degree of imbalance in the power distribution inside the battery cabinet, and there may be potential risks such as local overheating. Timely warning enables operators to quickly pay attention to abnormal situations, take measures to conduct inspections and handling in advance, avoid the problem from deteriorating further, and ensure the safety of charging equipment and personnel. Calculate the increase value of the power distribution uniformity within a preset time period. If the increase value is greater than the preset change reference value, it indicates that the unbalanced state of the power distribution is deteriorating rapidly. Such a sharp change may indicate an impending dangerous situation, such as a fire caused by local overheating. At this time, starting the fire extinguishing device can perform precise intervention before the dangerous situation develops out of control, minimizing the possibility of fire and the possible losses, and further improving the safety and reliability of the charging system.

[0021] In a second aspect, the present application provides a charging management system for a multi-functional module of an unmanned aerial vehicle, adopting the following technical solutions: A charging management system for a multi-functional module of an unmanned aerial vehicle, including a processor, and the processor executes the steps of the charging management method for a multi-functional module of an unmanned aerial vehicle as described in any one of the above.

[0022] In a third aspect, the present application provides a charging management terminal for a multi-functional module of an unmanned aerial vehicle, adopting the following technical solutions: A charging management terminal for a multi-functional module of an unmanned aerial vehicle, including a processor, and the processor executes the steps of the charging management method for a multi-functional module of an unmanned aerial vehicle as described in any one of the above.

[0023] In summary, the present application includes at least one of the following beneficial technical effects: Precise heat dissipation management: By obtaining the power data of the battery, battery layer, and battery pack in real time, the heat dissipation power of the point heat dissipation module and the total heat dissipation module is adjusted in a positive correlation respectively, realizing precise heat dissipation for different power situations, avoiding local overheating and overall high temperature, and improving the safety of the charging process and the overall heat dissipation efficiency.

[0024] Efficient charging adaptation: Matching the battery layer according to the model label of the battery to be charged, ensuring that different model batteries are charged in a suitable environment, avoiding abnormal charging, calculating the layer power data for easy fault troubleshooting, and unifying the rated power of the power supply module to ensure stable power supply, effectively improving the charging efficiency, reliability, and maintainability of the management system.

[0025] Intelligent charging distribution: Classifying the batteries based on their charging power, calculating the power density value of the battery pack, matching the power density range and selecting the battery pack with light load, automatically determining the charging position, realizing fully automated operation, improving the charging adaptability, resource utilization rate, and charging efficiency, and reducing human errors.

[0026] Dynamic parameter adjustment: Dynamically adjusting the coverage width of the power density range and the reference power value inside the cabinet according to the call frequency of the put-in instruction, enabling the system to adapt to different usage scenarios and charging requirements, improving the resource utilization rate, preventing heat accumulation, and ensuring charging safety.

[0027] Multi-dimensional temperature monitoring and protection: Using temperature sensors and infrared imaging technology to monitor the temperature of the battery cabinet in multiple dimensions, calculating the comprehensive temperature value and setting the hierarchical reference temperature value, cutting off the power in time when the temperature is abnormal, constructing a multi-level safety protection mechanism, effectively avoiding safety accidents caused by high temperature, and improving the safety and reliability of the charging management system.

[0028] Hierarchical fire extinguishing protection: By calculating the temperature rise rate of the comprehensive temperature value inside the cabinet and triggering the partial start of the dry ice fire extinguisher in combination with the third reference temperature value, constructing a multi-level safety protection system, rationally allocating fire extinguishing resources, reducing secondary damage to equipment, and ensuring the continuous operation of the system.

[0029] Power balance warning: Monitoring the power distribution uniformity, giving warning prompts and starting the fire extinguishing device respectively when it exceeds the range or changes too fast, being able to detect potential risks in time and intervene precisely, reducing the possibility and loss of fire occurrence, and further improving the safety and reliability of the charging system. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 is a step diagram of a method for charging management of a multi-functional module of an unmanned aerial vehicle.

[0031] Figure 2It is a sub-step diagram of the step of obtaining the model label of the battery to be charged, matching the corresponding battery layer according to the model label, and guiding the battery to be charged into the battery layer for charging.

[0032] Figure 3 It is a sub-step diagram of the method for obtaining the put-in instruction.

[0033] Figure 4 It is a sub-step diagram of the step of matching the corresponding battery layer from the selected battery pack according to the model label and marking the charging positions in the battery layer for charging the battery. Detailed implementation manners

[0034] The following details the implementation manners of the present application, and the examples of the implementation manners are shown in the drawings.

[0035] In the description of this specification, the description with reference to the terms "certain implementation manners", "one implementation manner", "some implementation manners", "schematic implementation manners", "examples", "specific examples" or "some examples" means that the specific features, structures, materials or characteristics described in connection with the implementation manner or example are included in at least one implementation manner or example of the present application. In this specification, the schematic expressions of the above terms do not necessarily refer to the same implementation manner or example. Moreover, the specific features, structures, materials or characteristics described can be combined in a suitable manner in any one or more implementation manners or examples.

[0036] The embodiments of the present application disclose a method for charging management of a multi-functional module of an unmanned aerial vehicle, based on a battery cabinet, which is the core carrier of the entire charging management. The battery cabinet contains multiple battery packs. For example, in a large unmanned aerial vehicle charging center, the battery cabinet has 5 battery packs. And each battery pack is composed of multiple battery layers. For example, one battery pack has � battery layers. The functions of these battery layers are crucial, and they can charge various different types of batteries. Refer to Figure 1 , the method includes the following steps: Obtain the battery power data of the battery being charged, the layer power data of the battery layer, and the group power data of the battery pack. Among them, each battery pack is correspondingly provided with a spot heat dissipation module, which can better implement heat dissipation management.

[0037] Calculate the real-time power value of the battery pack based on multiple real-time power data, and adjust the cooling power of the point cooling module in direct proportion to the real-time power value. The higher the real-time power value, the greater the cooling power of the point cooling module; the lower the real-time power value, the smaller the cooling power of the point cooling module. For example, when the real-time power value reaches 450 watts, which is at a relatively high level, it indicates that the battery pack generates more heat during charging. At this time, the point cooling module will automatically increase the cooling power, increase the fan speed or enhance the cooling effect to quickly remove the heat; conversely, if the real-time power value is only 80 watts, the point cooling module will correspondingly reduce the cooling power to avoid energy waste.

[0038] A total cooling module is set inside the battery cabinet. Calculate the real-time total power value of the battery cabinet based on multiple real-time power values. If the real-time total power value is greater than the preset reference power value inside the cabinet, then adjust the cooling power of the total cooling module in direct proportion to the real-time total power value. The greater the real-time total power value, the greater the cooling power of the total cooling module; the smaller the real-time total power value, the smaller the cooling power of the total cooling module. Assume that the preset reference power value inside the cabinet is 2200 watts. When the calculated real-time total power value of the battery cabinet reaches 2500 watts, exceeding the preset value, the total cooling module will immediately respond and adjust its own cooling power in direct proportion to the real-time total power value, increasing the ventilation volume or enhancing the cooling intensity to ensure that the temperature of the entire battery cabinet is within a safe range.

[0039] Calculate the power distribution uniformity of multiple battery packs inside the battery cabinet based on multiple real-time power values; if the power distribution uniformity is within the preset first distribution reference range, then search for the point cooling modules whose cooling power has not reached the maximum value; adjust the increment of the cooling power of the searched point cooling modules in inverse proportion to the power distribution uniformity. The higher the power distribution uniformity, the smaller the increment of the cooling power of the point cooling module; the lower the power distribution uniformity, the greater the increment of the cooling power of the point cooling module. When the power distribution uniformity is relatively high, it means that the power of each battery pack is relatively balanced. At this time, the system will appropriately reduce the increment of the cooling power of these point cooling modules to avoid excessive cooling; when the power distribution uniformity is relatively low, it indicates that there are some battery packs with too high or too low power. The system will increase the increment of the cooling power to ensure the cooling balance of each battery pack.

[0040] Suppose there is a large-scale UAV battery charging center, and its battery cabinet contains 8 battery packs. At a certain moment, the system collects and analyzes the real-time power values of each battery pack and calculates their power distribution uniformity.

[0041] Case 1: The power distribution uniformity is relatively high After calculation, the power distribution uniformity is within the preset first distribution reference range at this time, and the value is relatively high, indicating that the power of each battery pack is relatively balanced. For example, the real-time powers of these 8 battery packs are 120 watts, 122 watts, 118 watts, 121 watts, 119 watts, 123 watts, 120 watts, and 117 watts respectively, and the difference between them is very small. The system calculates through the algorithm that the power distribution uniformity is 90%. Among them, assuming that the first distribution reference range is 80% - 100%, this means that the heat generation conditions of each battery pack are similar.

[0042] Next, the system starts to search for the heat dissipation modules at the points where the heat dissipation power has not reached the maximum value. Among these 8 battery packs, there are 6 heat dissipation modules at the points where the heat dissipation power has not reached the maximum value. Due to the relatively high power distribution uniformity, the system will appropriately reduce the increment of the heat dissipation power of these heat dissipation modules. Originally, these heat dissipation modules were planned to increase the heat dissipation capacity at a rate of 5 watts per minute of heat dissipation power increase. Now the system adjusts this increment to 2 watts per minute. This avoids excessive heat dissipation, reduces energy waste, and also reduces the loss of heat dissipation equipment.

[0043] Case 2: Low power distribution uniformity As time goes by, some of the drone batteries are about to be fully charged, while some are just put in for charging, resulting in a larger power difference among the battery packs. At this time, the real-time powers of the 8 battery packs become 30 watts, 280 watts, 40 watts, 260 watts, 35 watts, 270 watts, 32 watts, and 275 watts respectively. The system calculates the power distribution uniformity again and gets the result of 30%, which is significantly lower than the previous value, indicating that there are situations where the power of some battery packs is too high or too low.

[0044] The system quickly searches for the heat dissipation modules at the points where the heat dissipation power has not reached the maximum value. There are 7 heat dissipation modules at these points that meet the conditions. To ensure the balanced heat dissipation of each battery pack, the system will increase the increment of the heat dissipation power of these heat dissipation modules. For the heat dissipation modules corresponding to the battery packs with higher power, the original increase in heat dissipation power per minute was 5 watts, and now it is adjusted to 15 watts per minute; for the battery packs with lower power but the heat dissipation modules have not reached the maximum heat dissipation power, the increment of their heat dissipation power is also appropriately increased, from 2 watts per minute to 8 watts per minute. Through such adjustments, each battery pack can be charged in a suitable temperature environment, avoiding damage to the battery or causing safety accidents due to local overheating.

[0045] By obtaining various power data in real time, the system can accurately grasp the real-time power conditions of each battery, battery layer, and battery pack, just as a doctor can precisely understand a patient's physical condition through various examination methods. By adjusting the cooling power of the point cooling module according to the real-time power value, precise cooling can be carried out for battery packs with different powers, avoiding potential safety hazards such as battery damage or even fire caused by local overheating, and greatly improving the safety of the charging process. Calculating the real-time total power value of the battery cabinet and adjusting the cooling power of the total cooling module can effectively handle the heat generated by the entire battery cabinet due to excessive power, prevent equipment damage caused by high temperature, ensure the safety of charging equipment and personnel property, and at the same time optimize the overall cooling efficiency. Calculating and adjusting the power distribution uniformity enables more reasonable allocation of cooling resources, avoids waste of cooling resources, improves the cooling rationality and stability of the entire charging management system, and provides all-round and intelligent guarantee for the charging of UAV batteries.

[0046] In the step of obtaining the battery power data of the battery being charged, the layer power data of the battery layer, and the group power data of the battery pack, a series of detailed and crucial sub-steps are included: The system obtains the model label of the battery to be charged. In actual operation, the model label can be obtained by scanning the QR code on the battery, reading the information of the electronic chip, etc. After obtaining the model label, the system matches the model label with the pre-set battery layer according to the built-in matching algorithm. Different types of UAV batteries have different chemical compositions, capacities, voltages, etc., and thus require different charging conditions, such as charging current, charging voltage, charging time, etc. For example, lithium batteries used in small consumer UAVs may require a smaller charging current and a lower charging voltage, while nickel-metal hydride batteries used in large industrial UAVs require a larger charging current and a higher charging voltage. Through precise matching, the system can guide the battery to be charged into the appropriate battery layer for charging. When the battery to be charged enters the battery layer, it is marked as the battery being charged, and at this time, the system starts to obtain the battery power data of this battery being charged during the charging process in real time.

[0047] The system calculates the layer power data based on all the corresponding battery power data in the battery layer. Taking a battery layer with 10 charging positions as an example, the system will collect the power data of these 10 batteries being charged and then add them up to obtain the total power data of this battery layer. In this way, the system can clearly understand the power usage situation of each battery layer. Once there is a power anomaly in a certain battery layer, such as a sudden significant increase or decrease in power, the system can quickly locate this specific battery layer. This is very important for fault troubleshooting and maintenance. Technicians can quickly check whether there are problems with the batteries, circuits, charging equipment, etc. in this battery layer according to the information provided by the system, greatly improving the reliability and maintainability of the entire charging management system.

[0048] In addition, each battery pack is correspondingly provided with a power module, and the function of these power modules is to supply power to the corresponding multiple battery layers. To ensure the power supply stability and consistency of each battery pack, the system requires that the difference in rated power between multiple power modules is less than a preset rated power difference reference value. For example, if the preset rated power difference reference value is 50 watts, then the difference between the rated powers of each power module cannot exceed 50 watts. This can avoid the impact on the batteries of different battery packs due to excessive power differences among the power modules. If the rated power of a certain power module is too large, it may cause the battery layer powered by it to charge too fast, thus damaging the battery; if the rated power is too small, it may not be able to meet the charging requirements of the battery, resulting in too long charging time or insufficient charging. By controlling the difference in rated power of the power modules, it can be ensured that all batteries can be charged in a stable power supply environment, further improving the safety and stability of charging.

[0049] Therefore, through operations such as obtaining the model label of the battery to be charged, matching the battery layer, calculating the layer power data, and controlling the difference in rated power of the power modules, precise management of the drone battery charging is achieved, improving the charging efficiency and ensuring the reliability, maintainability of the charging management system, as well as the safety and stability of charging.

[0050] Refer to Figure 2 , in the step of obtaining the model label of the battery to be charged, matching the corresponding battery layer according to the model label, and guiding the battery to be charged into the battery layer for charging, the method further includes: Obtain a placement instruction, mark the battery to be charged according to the placement instruction, and read the model label of the battery to be charged. The model label is used to classify multiple drone batteries according to the charging power of the drone battery. Drone batteries with the same model label are located in the battery layers corresponding to the type for charging, and each model label corresponds to multiple battery layers; the battery layers correspond to multiple model labels; Calculate the power density value in all battery packs, where the power density value = real-time power data / the number of batteries being charged; Match the corresponding power density range from the preset power density database according to the battery power data through a preset first matching strategy. Among them, the values within the power density range are inversely correlated with the battery power data. The larger the battery power data, the smaller the values within the power density range; the smaller the battery power data, the larger the values within the power density range; Select the battery pack with the smallest power density value from the battery packs corresponding to the values within the power density range; Match the corresponding battery layer from the selected battery pack according to the model label, and mark the charging position in the battery layer for charging the battery.

[0051] By obtaining the charging instruction tag to mark the battery to be charged and reading the model tag, classifying it according to the charging power of the UAV battery, placing the UAV batteries with the same model tag in the corresponding battery layer for charging, and each model tag corresponds to multiple battery layers, and each battery layer also corresponds to multiple model tags. This classification method can more precisely match the charging requirements of different model batteries, improve the charging adaptability, and ensure that various batteries can be charged under suitable conditions. Calculate the power density value of all battery packs (the ratio of the real-time power data to the number of batteries being charged) to provide a quantitative basis for reasonably allocating the charging positions of the batteries. In this way, the real-time power of the battery pack and the current number of charged batteries can be comprehensively considered, so as to more evenly utilize the charging resources of the battery pack as a whole. According to the battery power data, match the corresponding power density range from the preset power density database through the preset first matching strategy, and the range value is inversely correlated with the battery power data. This design takes into account that batteries with different powers have different requirements for power density. Batteries with higher power require a relatively loose (smaller value) power density range to ensure that each battery can be charged in a suitable power density environment and further optimize the charging effect. Select the battery pack with the smallest power density value from the battery packs matched by the values corresponding to the power density range. This operation preferentially allocates the battery to be charged to the battery pack with a relatively light load, avoiding abnormal charging caused by overloading of the battery pack, which is beneficial to extending the service life of the battery pack and related equipment, and at the same time improving the overall charging efficiency. Match the corresponding battery layer from the selected battery pack according to the model tag and mark the charging position in the battery layer. This process realizes the full-process automated operation of the battery to be charged from model identification to specific charging position determination, improves the accuracy and efficiency of charging management, and reduces errors that may be caused by manual intervention.

[0052] Refer to Figure 3 , in the step of obtaining the model tag of the battery to be charged, matching the corresponding battery layer according to the model tag, and guiding the battery to be charged into the battery layer for charging, the method further includes the following steps: Obtain the placement instruction. When the operator places the battery to be charged in the relevant area of the battery cabinet, the battery cabinet control system will receive this placement instruction. Subsequently, the system marks the placed battery to be charged according to this placement instruction. Immediately afterwards, the system reads the model label of the battery to be charged. This model label is the basis for classifying various UAV batteries according to the charging power of the UAV batteries. UAV batteries with different charging powers have different requirements during the charging process. For example, batteries with high charging power require a larger current and a more stable voltage supply. In the entire battery cabinet, UAV batteries with the same model label are arranged to be charged in the corresponding battery layers of the type, and there are multiple battery layers corresponding to each model label, and at the same time, there are multiple model labels corresponding to the battery layers. Such a design makes the charging system have higher flexibility and adaptability, and can better meet the charging requirements of different model batteries.

[0053] Calculate the power density values in all battery packs. The calculation method of the power density value is the real-time power data divided by the number of batteries being charged. By calculating the power density value, the real-time power of each battery pack and the number of batteries currently being charged can be comprehensively considered. For example, if the current real-time power of a battery pack is 500 watts and there are 5 batteries being charged in it, then the power density value of this battery pack is 100 watts per battery. This power density value provides a quantitative basis for reasonably allocating the battery charging positions.

[0054] After that, the system will, according to the battery power data, match the corresponding power density range from the preset power density database through the preset first matching strategy. There is an inverse correlation here, that is, the larger the battery power data, the smaller the value within the power density range; the smaller the battery power data, the larger the value within the power density range. This is because batteries with high power will generate more heat during the charging process and require a relatively loose power density environment to ensure heat dissipation and charging safety; while batteries with low power have relatively lower requirements for power density. For example, for a high-power UAV battery with relatively large power data, the system matches a power density range in the interval of 50 - 80 watts per battery; while for a low-power battery, the matched power density range is 100 - 150 watts per battery.

[0055] After matching the power density range, the system selects the battery pack with the smallest power density value from the battery packs corresponding to the values within this power density range. This operation is to preferentially allocate the battery to be charged to the battery pack with relatively lighter load. For example, if the power density values of three battery packs are 90 watts per battery, 110 watts per battery, and 130 watts per battery respectively, and they are all within the matched power density range, then the system will select the battery pack with a power density value of 90 watts per battery. Doing so can avoid abnormal charging caused by overloading of the battery pack, which is beneficial to extending the service life of the battery pack and related equipment, and at the same time improving the overall charging efficiency.

[0056] Finally, the system will match the corresponding battery layer from the selected battery pack according to the model label, and mark the charging positions in this battery layer for charging the battery. For example, if the model label of the battery to be charged is "Type A" and there are multiple battery layers in the selected battery pack, the system will find the battery layer corresponding to the "Type A" battery according to the preset rules, and then mark an idle charging position in this battery layer to guide the battery to be charged into this charging position for charging. This process realizes the full-process automated operation of the battery to be charged from model identification to determination of the specific charging position, reduces the errors that may be brought by manual intervention, and improves the accuracy and efficiency of charging management.

[0057] By obtaining the placement instruction to mark the battery to be charged and reading the model label, classifying it according to the charging power of the UAV battery, and placing the batteries with the same model label in the corresponding battery layer for charging, this classification method can more precisely match the charging requirements of different model batteries, improve the charging adaptability, and ensure that various batteries can be charged under suitable conditions. Calculating the power density values of all battery packs provides a quantitative basis for reasonably allocating the battery charging positions, enabling more balanced utilization of the charging resources as a whole. Matching the corresponding power density range according to the battery power data takes into account the different power density requirements of different power batteries, ensuring that each battery can be charged in a suitable power density environment, and further optimizing the charging effect. Selecting the battery pack with the smallest power density value avoids overloading the battery pack, which is beneficial to the long-term stable operation of the equipment and improves the charging efficiency. And the full-process automated operation of matching the battery layer from the selected battery pack and marking the charging positions improves the accuracy and efficiency of charging management, providing reliable guarantee for the charging of UAV batteries.

[0058] In the step of matching the corresponding battery layer from the selected battery pack according to the model label and marking the charging positions in the battery layer for charging the battery, the following sub-steps are further included: Continuously obtain the sensed temperature values generated by the temperature sensors at multiple positions in the battery cabinet. These temperature sensors are reasonably and carefully distributed at various key parts of the battery cabinet. At the four corners of each battery layer, one temperature sensor is installed at each corner to accurately monitor the temperature conditions at different positions of the battery layer. On the side of the power module that supplies power to the battery layer, a temperature sensor is also set because the power module generates heat during operation, and its temperature change has a greater impact on the overall charging environment. Temperature sensors are also deployed near the ventilation openings to understand the temperature conditions at the air circulation areas. These temperature sensors collect the real-time temperature data at their respective positions at a set frequency and quickly transmit it to the system. In this way, the system can comprehensively and timely grasp the temperature information at different positions in the battery cabinet, and any temperature anomaly can be detected in time.

[0059] Calculate the comprehensive sensed temperature value based on multiple sensed temperature values. The system uses a set of scientific algorithms to process these temperature data. For example, the weighted average algorithm is adopted, and higher weights are assigned to the sensor data closer to the battery because the temperature near the battery has a more direct impact on the charging state of the battery. The temperature values collected by each sensor are calculated according to the corresponding weights, and finally a comprehensive value that can reflect the overall temperature condition of the battery cabinet is obtained. This calculation method can objectively and comprehensively evaluate the temperature condition in the battery cabinet, avoiding misjudgments of the overall temperature situation due to malfunctions of individual sensors, such as short circuits in the sensor lines resulting in incorrect data, or transient temperature anomalies caused by accidental factors in local areas. By comprehensively considering the temperatures at various positions, the system can more accurately reflect the actual thermal environment in the battery cabinet and provide a reliable basis for subsequent decision-making.

[0060] Compare the calculated comprehensive sensed temperature value with a preset first reference temperature value. The preset first reference temperature value, such as 55 °C, is determined after a large number of experiments, simulating different charging scenarios, and analyzing and verifying long-term actual operation data. This temperature value is an important threshold to ensure charging safety. Once the comprehensive sensed temperature value is greater than this preset first reference temperature value, the system will quickly activate the emergency mechanism and automatically disconnect all power modules. This decisive operation can cut off the charging power supply in a very short time and effectively prevent a series of serious consequences that may be caused by excessive temperature. In a high-temperature environment, the chemical reactions inside the UAV battery may accelerate out of control, leading to overheating and explosion of the battery; the electronic components in the charger are also prone to damage at high temperatures, affecting its normal service life; more seriously, excessive temperature may cause a fire, causing immeasurable losses to the lives of surrounding personnel and the surrounding environment. And the timely power-off measure can quickly eliminate the potential danger brought by excessive temperature, effectively protect the UAV battery, charger, and battery cabinet and other equipment, and at the same time minimize the safety threat to personnel and the surrounding environment, fundamentally significantly improving the safety of the charging process and providing a solid guarantee for the stable operation of the entire charging management system.

[0061] Refer to Figure 4 , in the step of matching the corresponding battery layer from the selected battery pack according to the model label and marking the charging positions in the battery layer for charging the battery, the following sub-steps are further included: Use the infrared imaging device installed at a specific position outside the battery cabinet to obtain the infrared image data of the inside of the cabinet taken outside the battery cabinet. These infrared imaging devices are carefully debugged and calibrated to ensure that they can clearly and comprehensively capture the infrared radiation conditions in various areas inside the battery cabinet. They continuously take infrared images of the inside of the battery cabinet at a certain time interval and transmit these image data to the system in real time.

[0062] Using advanced image analysis algorithms, infrared temperature values at multiple points inside the cabinet are calculated from the infrared image data inside the cabinet. In this process, the system analyzes the infrared image point by point, and according to the infrared radiation intensity represented by different colors, accurately converts the corresponding temperature values. For example, for the brighter areas in the image, it indicates strong infrared radiation and corresponds to a higher temperature value; while the darker areas indicate weaker infrared radiation and relatively lower temperature. By calculating the temperatures of a large number of points, the system can obtain detailed temperature information of various parts inside the battery cabinet.

[0063] Based on these multiple infrared temperature values, an infrared comprehensive temperature value is calculated. The system adopts a comprehensive weighted calculation method to process the infrared temperature values at different positions. Higher weights are assigned to the temperature values of key parts such as the area where the battery layer is located and near the power module, because the temperature changes in these areas have a more significant impact on charging safety. In this way, the system can obtain an infrared comprehensive temperature value that can comprehensively reflect the overall temperature condition inside the battery cabinet.

[0064] Combining the sensing comprehensive temperature value obtained and calculated through the temperature sensor before and the current infrared comprehensive temperature value, the comprehensive temperature value inside the cabinet is calculated. This calculation method that fuses the data obtained by two different monitoring means can greatly improve the accuracy of reflecting the actual temperature condition inside the battery cabinet. The temperature sensor can accurately measure the temperature at its installation position, but there may be a problem of limited monitoring range; while the infrared imaging technology can observe the overall situation inside the cabinet comprehensively, but there may be certain errors in some details. By fusing and calculating the two sets of data, making up for each other's weaknesses, it avoids the errors or limitations that may occur in a single monitoring method, providing a more accurate basis for the system to make judgments.

[0065] The system sets two different reference temperature values, that is, the first reference temperature value is less than the second reference temperature value. When the sensing comprehensive temperature value is greater than the first reference temperature value, the system will quickly disconnect the power module. This is a preliminary protection measure taken when the temperature just shows an abnormality, which can timely prevent the temperature from rising further and avoid damage to the battery and charging equipment. And when the comprehensive temperature value inside the cabinet is greater than the higher second reference temperature value, the system will also disconnect all power modules. This higher second reference temperature value serves as a more stringent threshold and plays a role when the comprehensive temperature further rises and the degree of danger significantly increases, ensuring power off again and further strengthening the protection of the charging equipment and personnel safety.

[0066] By comprehensively applying various temperature monitoring methods and hierarchical power-off strategies, the safety and reliability of the charging management system are greatly improved. Through more comprehensive temperature monitoring, the system can fully grasp both the local accurate temperature monitored by temperature sensors and the overall temperature situation covered by infrared imaging technology. Through more accurate temperature assessment, by fusing and calculating the data from different monitoring means, the system's judgment of temperature becomes more accurate. In this way, at different stages of abnormal temperature in the battery cabinet, the system can take power-off measures in a timely manner, effectively avoiding various safety accidents caused by excessive temperature, such as battery overheating and explosion, charger damage, and even fire, ensuring the stability and safety of the charging process, and providing a comprehensive and reliable guarantee for the charging of drone batteries.

[0067] Based on the fact that a dry ice fire extinguisher is installed in the battery cabinet, the method further includes the following steps: Continuously and closely monitor the temperature increase of the comprehensive temperature value inside the cabinet and calculate its temperature rise rate. The system obtains the comprehensive temperature value inside the cabinet at different time points and uses a specific mathematical algorithm to accurately calculate the value of the temperature rise per unit time. For example, at an interval of every 10 seconds, the system collects the comprehensive temperature value inside the cabinet, then subtracts the temperature value at the previous moment from the temperature value at the current moment, and divides by the time interval of 10 seconds to obtain the temperature rise rate within these 10 seconds. In this way, the system can real-time grasp the dynamic trend of temperature change.

[0068] Compare the calculated temperature rise rate with a preset speed threshold, and at the same time compare the comprehensive temperature value inside the cabinet with a preset third reference temperature value. The preset speed threshold is determined based on a large amount of experimental data and long-term monitoring and analysis of the actual operation of the battery cabinet. It represents a dangerous temperature rise speed limit. The third reference temperature value is also obtained through rigorous demonstration and is an important temperature indicator for judging the degree of danger. When the temperature rise rate is greater than the preset speed threshold and the comprehensive temperature value inside the cabinet is greater than the preset third reference temperature value, the system will immediately activate the part of the dry ice fire extinguisher.

[0069] In this process, it is of great significance to set the first reference temperature value less than the third reference temperature value less than the second reference temperature value. These three different reference temperature values construct a multi-level safety protection system. When the temperature shows an anomaly, it is graded and responded to according to different levels of danger. When the sensed comprehensive temperature value is greater than the first reference temperature value, the system will take preliminary power-off measures, which is the primary protection and aims to prevent the temperature from rising further in a timely manner when the temperature just shows an anomaly, reducing the level of danger. When both the temperature rise rate and the comprehensive temperature value inside the cabinet meet the above conditions, that is, when it reaches the third reference temperature value and the temperature rise rate is too fast, the part of the dry ice fire extinguisher is activated, which is the secondary protection. At this time, the level of danger further intensifies, and fire extinguishing measures need to be taken to control the fire. If the comprehensive temperature value inside the cabinet is greater than the higher second reference temperature value, the system will take more comprehensive and strict measures, such as a complete power-off and more fully activating the fire extinguishing equipment, etc., which is the tertiary protection and is used to deal with the most serious dangerous situations. Through this hierarchical setting, the system can reasonably allocate resources according to different levels of danger and take corresponding measures targeted.

[0070] The operation of partially activating the dry ice fire extinguisher is a well-considered strategy for reasonable resource allocation. The dry ice fire extinguisher has many advantages. It causes minimal damage to equipment during the fire extinguishing process. After the dry ice sublimes into carbon dioxide gas, it will not leave residues such as water stains or dry powder like traditional fire extinguishers, thus effectively reducing secondary damage to the equipment inside the battery cabinet, such as drone batteries, chargers, and various electronic components. At the same time, partially activating the dry ice fire extinguisher can timely utilize the fire extinguishing ability of the dry ice fire extinguisher to control the fire when the fire starts. By releasing dry ice, it reduces the surrounding temperature and isolates oxygen, thereby inhibiting the spread of the fire and buying time for further possible fire extinguishing measures, ensuring the continuous operation of the battery cabinet system. This series of measures greatly improves the reliability and stability of the entire charging system, ensuring that in various potential dangerous situations, it can maximize the protection of charging equipment and personnel safety and maintain the normal operation of the charging business.

[0071] Based on the fact that a fire extinguishing device is provided inside the battery cabinet, the method further includes the following steps: The system continuously monitors the power distribution in the battery cabinet closely and calculates the power distribution uniformity. The power distribution uniformity is an important indicator to measure the balance degree of power distribution among various parts in the battery cabinet. The system will compare the calculated power distribution uniformity with a preset first distribution reference range. If the power distribution uniformity is greater than the maximum value within the first distribution reference range, this signal is like sounding an alarm, indicating that there is a large degree of imbalance in the power distribution in the battery cabinet. For example, in a battery cabinet containing multiple battery groups and battery layers, under normal circumstances, the power of each battery group and battery layer should be relatively balanced to ensure a stable and safe charging process. However, when the power distribution uniformity exceeds the upper limit of the reference range, it means that the power of some battery groups or battery layers is too high, while the power of other parts is too low. This imbalance is extremely likely to cause potential risks such as local overheating. Once this situation occurs, the system will quickly trigger a warning prompt, through means such as audible and visual alarms and sending notifications to the mobile terminals of the management personnel, so that the operators can pay attention to the abnormal situation in the first time. After receiving the warning, the operators can promptly conduct a comprehensive inspection of the battery cabinet, check whether the line connections are loose, whether the equipment is faulty and other reasons that may cause power imbalance, and take corresponding treatment measures, such as adjusting the charging task allocation, repairing the faulty equipment, etc., so as to avoid the problem from deteriorating further and effectively ensure the safety of the charging equipment and personnel.

[0072] The system not only pays attention to the current value of the power distribution uniformity, but also further calculates the increase value of the power distribution uniformity within a preset time period. The system will record the power distribution uniformity values at different time points, and through comparing the previous and subsequent values, use a specific algorithm to calculate the increase value within this time period. The preset change reference value is also determined through a large amount of experimental data and long-term monitoring and analysis of the actual operation of the battery cabinet. It represents a dangerous power distribution change limit. When the calculated increase value is greater than the preset change reference value, this is an extremely dangerous signal, indicating that the unbalanced state of the power distribution is deteriorating rapidly. For example, within a short period of time, if the increase value of the power distribution uniformity is too large, it may be due to a sudden serious failure of a key device, resulting in a sharp imbalance in power distribution, and this sharp change is very likely to trigger dangerous situations, such as a fire caused by local overheating. At this time, the system will immediately activate the fire extinguishing device, and the fire extinguishing device will respond quickly, and through means such as releasing fire extinguishing agents, conduct precise intervention before the dangerous situation develops out of control. The fire extinguishing agent can quickly reduce the local temperature, isolate oxygen, and effectively inhibit the spread of the fire, thereby minimizing the possibility of fire occurrence and the possible losses. This dual monitoring and timely response mechanism for the power distribution uniformity further improves the safety and reliability of the charging system, providing a solid guarantee for the stable operation of the battery cabinet and the safety of the equipment and personnel.

[0073] The embodiment of the present application also discloses a charging management system for a multi-functional module of a drone, including a processor, and the processor executes the steps of the charging management method for the multi-functional module of the drone as described in any one of the above.

[0074] The embodiment of the present application also discloses a charging management terminal for a multi-functional module of a drone, including a processor, and the processor executes the steps of the charging management method for the multi-functional module of the drone as described in any one of the above.

[0075] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. A charging management method for a multi-functional module of an unmanned aerial vehicle, characterized in that, Based on a battery cabinet, the battery cabinet includes a plurality of battery packs, each battery pack includes a plurality of battery layers, and the battery layers are used to charge a plurality of different types of batteries; the method includes the following steps: Obtain the battery power data of the battery being charged, the layer power data of the battery layer, and the group power data of the battery pack. Wherein, each battery pack is correspondingly provided with a point heat dissipation module; Calculate the real-time power value of the battery pack according to a plurality of real-time power data, and adjust the heat dissipation power of the point heat dissipation module positively correlated with the real-time power value. The higher the real-time power value, the greater the heat dissipation power of the point heat dissipation module, and the lower the real-time power value, the smaller the heat dissipation power of the point heat dissipation module; A total heat dissipation module is arranged in the battery cabinet. Calculate the real-time total power value of the battery cabinet according to a plurality of the real-time power values. If the real-time total power value is greater than a preset reference power value inside the cabinet, then adjust the heat dissipation power of the total heat dissipation module positively correlated with the real-time total power value. The greater the real-time total power value, the greater the heat dissipation power of the total heat dissipation module; the lower the real-time total power value, the smaller the heat dissipation power of the total heat dissipation module; Calculate the power distribution uniformity of a plurality of the battery packs in the battery cabinet according to a plurality of the real-time power values; if the power distribution uniformity is within a preset first distribution reference range, then search for the point heat dissipation module whose heat dissipation power has not reached the maximum value; adjust the increment of the heat dissipation power of the searched point heat dissipation module negatively correlated with the power distribution uniformity. The higher the power distribution uniformity, the smaller the increment of the heat dissipation power of the point heat dissipation module, and the lower the power distribution uniformity, the greater the increment of the heat dissipation power of the point heat dissipation module.

2. The charging management method for the multi-functional module of the drone according to claim 1, characterized in that, In the step of obtaining the battery power data of the battery being charged, the layer power data of the battery layer, and the group power data of the battery pack, the following sub-steps are further included: Obtain the model label of the battery to be charged, match the corresponding battery layer according to the model label, guide the battery to be charged into the battery layer for charging, mark the battery to be charged as the battery being charged, and obtain the battery power data when the battery being charged is charging; Calculate the layer power data according to all the corresponding battery power data in the battery layer; Each battery pack is correspondingly provided with a power supply module, and the power supply module is used to supply power to the corresponding plurality of battery layers; obtain the real-time power data of the battery pack to which the battery layer belongs from the power supply module, and the rated power difference between a plurality of the power supply modules is less than a preset rated power difference reference value.

3. The charging management method for the multi-functional module of the drone according to claim 2, wherein In the step of obtaining the model label of the battery to be charged, matching the corresponding battery layer according to the model label, and guiding the battery to be charged into the battery layer for charging, the method further includes: Obtain the put-in instruction, mark the battery to be charged according to the put-in instruction, and read the model label of the battery to be charged. The model label is used to classify multiple UAV batteries according to the charging power of the UAV battery. The UAV batteries with the same model label are located in the corresponding battery layer of the type, and each model label corresponds to multiple battery layers; multiple model labels correspond to the battery layer; Calculate the power density value in all the battery packs, where the power density value = real-time power data / the number of batteries being charged; Match the corresponding power density range from the preset power density database according to the battery power data through a preset first matching strategy. Among them, the values within the power density range are inversely correlated with the battery power data. The larger the battery power data, the smaller the values within the power density range; the smaller the battery power data, the larger the values within the power density range; Select the battery pack with the smallest power density value from the battery packs corresponding to the values in the power density range; Match the corresponding battery layer from the selected battery pack according to the model label, and mark the charging positions in the battery layer for charging the battery.

4. The charging management method for the multi-functional module of the drone according to claim 3, characterized in that, The method for obtaining the put-in instruction further includes the following sub-steps: Obtain the call frequency of the put-in instruction within a preset time period; Regulate the coverage width of the power density range positively according to the call frequency. The higher the call frequency, the wider the coverage width; the lower the call frequency, the narrower the coverage width; Regulate the reference power value in the cabinet inversely according to the call frequency. The higher the call frequency, the smaller the reference power value in the cabinet; the lower the call frequency, the larger the reference power value in the cabinet.

5. The charging management method for the multi-functional module of the drone according to claim 4, wherein, In the step of matching the corresponding battery layer from the selected battery pack according to the model label and marking the charging positions in the battery layer for charging the battery, the following sub-steps are further included: Obtain the sensed temperature values generated by the temperature sensors at multiple positions in the battery cabinet; Calculate the sensed comprehensive temperature value according to the multiple sensed temperature values; If the sensed comprehensive temperature value is greater than a preset first reference temperature value, disconnect all the power modules.

6. The charging management method for the multi-functional module of the drone according to claim 5, characterized in that, In the step of matching the corresponding battery layer from the selected battery pack according to the model label and marking the charging positions in the battery layer for charging the battery, the following sub-steps are further included: Obtain the infrared image data inside the cabinet taken outside the battery cabinet; Calculate the infrared temperature values of multiple points inside the cabinet from the infrared image data inside the cabinet; Calculate the infrared comprehensive temperature value according to the multiple infrared temperature values; Calculate the comprehensive temperature value inside the cabinet according to the sensed comprehensive temperature value and the infrared comprehensive temperature value. If the comprehensive temperature value inside the cabinet is greater than a preset second reference temperature value, disconnect all the power modules; Among them, the first reference temperature value is less than the second reference temperature value.

7. The charging management method for the multi-functional module of the drone according to claim 6, characterized in that, Based on the fact that a dry ice fire extinguisher is provided inside the battery cabinet, the method further includes the following steps: Calculate the temperature rise rate of the comprehensive temperature value inside the cabinet; If the temperature rise speed is greater than a preset speed threshold and the comprehensive temperature value inside the cabinet is greater than a preset third reference temperature value, the part of the dry ice fire extinguisher is activated; Among them, the first reference temperature value is less than the third reference temperature value which is less than the second reference temperature value.

8. The charging management method for the multi-functional module of the unmanned aerial vehicle according to claim 1 or 7, characterized in that, Based on the fact that a fire extinguishing device is arranged inside the battery cabinet, the method further includes the following steps: If the power distribution uniformity is greater than the maximum value within the first distribution reference range, a warning prompt is given; calculate the increase value of the power distribution uniformity within a preset time period, and if the increase value is greater than a preset change reference value, the fire extinguishing device is activated.

9. A charging management system for a multi-functional module of an unmanned aerial vehicle, characterized in that, It includes a processor, and the steps of the charging management method of the drone multi-functional module described in any one of claims 1-8 are executed in the processor.

10. A charging management terminal for a multi-functional module of an unmanned aerial vehicle, characterized in that, It includes a processor, and the steps of the charging management method of the drone multi-functional module described in any one of claims 1-8 are executed in the processor.

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