Sensor module for unmanned aerial vehicle garage and environment detection method

Abstract

The invention relates to the technical field of sensors, and discloses a sensor module for an unmanned aerial vehicle garage and an environment detection method, and the sensor module comprises a cambered surface sealing glass layer which is provided with a conductive coating on the outer surface and is attached to a capacitive sensing film on the inner surface to form a capacitive structure; the processing module determines the wind direction and the wind quantity by detecting the area capacitance variable quantity of the multiple detection areas on the cambered surface sealing glass layer, and determines the rainfall and the snowfall according to the overall capacitance variable quantity of all the detection areas. According to the module, integrated detection of multiple environmental parameters is realized through an integrated sealing design, and the problems of complex installation and poor anti-interference performance of a traditional split type sensor are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of sensors, and particularly to a sensor module for an unmanned aircraft hangar and an environmental detection method. Background Art

[0002] The existing environmental monitoring of unmanned aircraft hangars mainly relies on a split-type sensor solution. Wind speed detection uses a three-cup mechanical sensor, and the wind speed is calculated by the rotation speed of the wind cups; rain and snow detection relies on a capacitive sensor, which judges by the capacitance value change caused by the coverage of rain and snow on the surface of the exposed capacitor plate. Such traditional solutions have significant defects. On the one hand, the rain and snow sensor needs to be installed obliquely to divert rainwater, resulting in complex assembly and the capacitor plate being exposed to the outdoor environment for a long time, being easily affected by sand and dust erosion and extreme temperature and humidity, and accelerating the aging of the device. On the other hand, the split-type design requires independent sensors for wind direction, wind speed, rain and snow detection, occupying a large space and being cumbersome to disassemble, install, maintain. In addition, the mechanical wind cup structure is prone to icing and jamming in low-temperature environments, and the capacitive rain and snow sensor is prone to missed detection or misjudgment due to partial occlusion, making it difficult to meet the requirements of high-precision and high-reliability environmental monitoring for unmanned aircraft hangars.

[0003] Therefore, there is an urgent need for an environmental monitoring solution for unmanned aircraft hangars that can overcome the defects of existing monitoring solutions. Summary of the Invention

[0004] In view of this, the present invention provides a sensor module for an unmanned aircraft hangar and an environmental detection method to solve the problems of complex installation and poor anti-interference performance of traditional split-type sensors. The technical solution is as follows.

[0005] In a first aspect, the present invention provides a sensor module for an unmanned aircraft hangar, and the sensor module includes:

[0006] A curved surface sealing glass layer, the outer surface of the curved surface sealing glass layer is provided with a conductive coating, and the curved surface sealing glass layer is divided into a plurality of detection regions;

[0007] The sensor module further includes a capacitive sensing film attached to the inner surface of the curved surface sealing glass layer to form a capacitor with the conductive coating;

[0008] The sensor module further includes a processing module, connected to the capacitive sensing film, for detecting the regional capacitance change amount of each detection region and the overall capacitance change amount of all detection regions; and determining the wind direction and wind volume according to the regional capacitance change amount, and confirming the rainfall and snowfall amount according to the overall capacitance change amount.

[0009] The sensor module for the drone hangar provided by the present invention uses an arc-shaped sealed glass layer as the outer layer of the sensor, and a conductive material is plated on the surface. The sealed structure isolates the direct erosion of the external environment (such as rain, snow, sand and dust) on the internal devices. At the same time, the conductive coating and the capacitive sensing film form an initial capacitance, providing a basic physical quantity for the detection of wind volume, rain and snow, and solving the problem of easy aging of devices caused by the need to expose the capacitor plates in traditional capacitive rain and snow sensors. The arc-shaped glass layer is divided into multiple independent detection areas. By detecting the capacitive changes in the areas (instead of a single global capacitance value), the distribution differences of the wind direction acting forces in different areas of the arc surface can be distinguished, so as to directly determine the wind direction source, replacing the physical structure of the traditional mechanical wind vane and avoiding the risk of mechanical component jamming. The processing module analyzes the local area capacitance differences (wind direction, wind volume) and the global capacitance difference (rain and snow) at the same time. Using the same capacitive sensing structure to achieve multi-parameter detection, there is no need to separately install wind speed, rain and snow sensors, simplifying the structural design of the drone hangar and reducing the complexity of multi-sensor collaborative calibration. The sensor module for the drone hangar of the present invention realizes the integration of the functions of detecting wind direction, wind volume, rainfall and snowfall through the integrated design of the arc-shaped sealed glass layer, the conductive coating and the capacitive sensing film, and the differential analysis of the area / global capacitance changes by the processing module. On the premise of ensuring the sealing and protection performance, it effectively solves the technical defects of redundant structure and poor environmental adaptability of the traditional split-type sensor.

[0010] In an optional implementation manner, the detection areas are distributed in an equiangular fan shape on the arc-shaped sealed glass layer, and the shapes and areas of the detection areas are the same.

[0011] For the sensor module for the drone hangar provided by the present invention, the detection areas are distributed in an equiangular fan shape on the arc-shaped sealed glass layer, and the shapes and areas of the detection areas are the same. The equiangular fan shape distribution ensures the uniformity and symmetry of wind direction detection, avoiding wind direction determination deviation caused by uneven area division; the consistency of shape and area simplifies the algorithm processing logic of the capacitance change amount, improving the efficiency and reliability of wind direction determination.

[0012] In an optional implementation manner, the processing module is provided with a plurality of capacitive sensing channels, and each capacitive sensing channel corresponds to a detection area; the detected capacitance change amount is mapped to an environmental parameter level through a preset mapping relationship; the mapping relationship is used to represent the wind volume level, rainfall level or snowfall level corresponding to different capacitance change amounts.

[0013] The sensor module for the drone hangar provided by the present invention has a processing module that sets multiple capacitance sensing channels. Each channel corresponds to a detection area, and the capacitance change amount is mapped to the levels of wind volume, rainfall, or snowfall through a mapping relationship. The independent capacitance channel design supports parallel data acquisition in multiple areas, avoiding signal crosstalk; directly quantifying the environmental parameter levels based on a preset mapping relationship (such as a linear ratio or a piecewise function) reduces the real-time calculation complexity and improves the response speed and practicality of the sensor module.

[0014] In an alternative embodiment, the processing module determines the detection area with the largest change amplitude by comparing the capacitance change amounts corresponding to the respective capacitance sensing channels to judge the wind direction and wind volume.

[0015] The sensor module for the drone hangar provided by the present invention has a processing module that determines the detection area with the largest change amplitude by comparing the capacitance change amounts of the respective capacitance sensing channels to judge the wind direction and wind volume. By directly locating the area with the largest change, the data interference in the secondary areas is eliminated, improving the accuracy of wind direction determination; combining the largest change amplitude with a preset threshold enables rapid determination of the wind volume.

[0016] In an alternative embodiment, the sensor module further includes a temperature detection module;

[0017] This temperature detection module is used to obtain ambient temperature data;

[0018] The processing module compares the overall capacitance change amount with an overall capacitance threshold to obtain a first comparison result;

[0019] Compare the current ambient temperature data with a temperature threshold to obtain a second comparison result;

[0020] Confirm the rainfall and snowfall amounts according to the first comparison result and the second comparison result.

[0021] The sensor module for the drone hangar provided by the present invention adds a temperature detection module to the sensor module, and the processing module differentiates between rainfall and snowfall by combining the overall capacitance change amount and the ambient temperature data. Using temperature data (such as a 0°C threshold) to assist in judging the precipitation type (rain or snow) solves the problem of misjudging the rain and snow types when solely relying on the capacitance change amount (for example, the capacitance change before snow melts is similar to that of rain), improving the reliability of rain and snow detection.

[0022] In an alternative embodiment, the processing module calibrates the initial capacitance of each detection area according to a set calibration period.

[0023] For the sensor module for the drone hangar provided by the present invention, the processing module calibrates the initial capacitance of each detection area according to a set calibration period. Dynamic calibration eliminates the initial capacitance drift caused by environmental temperature and humidity fluctuations and material aging, ensures the reference stability of capacitance change detection during long-term use, avoids the accumulation of measurement errors, and extends the service life of the sensor module.

[0024] In summary, for the sensor module for the drone hangar provided by the present invention, through the synergistic effect of technical features such as the arc-shaped sealed glass layer, equal-angle zoning design, independent capacitance induction channels, maximum change area determination, temperature-assisted calibration, and periodic reference correction, the integration and high reliability of the drone hangar environment detection are achieved. Specifically, the arc-shaped sealed glass layer and the conductive coating layer form a sealed protection structure, providing an initial capacitance reference while isolating external erosion; the equal-angle fan-shaped zoning design and the independent capacitance channel layout form a symmetric detection framework, ensuring the spatial uniformity of wind direction determination; through the rapid positioning of the maximum capacitance change area, combined with the data of independent channels, high-precision wind direction detection without a mechanical structure is realized; a dual verification mechanism of temperature threshold and global capacitance change amount is introduced, greatly reducing the rain and snow misjudgment rate; periodic calibration dynamically corrects the initial capacitance reference, compensating for material aging and environmental temperature and humidity drift, so that the sensor module still maintains long-term stability in extreme environments. The synergistic effect of the above features breaks through the technical bottlenecks of traditional split sensors in terms of structural redundancy, environmental adaptability, and maintenance cost, greatly improves the wind direction detection accuracy, significantly reduces the rain and snow misjudgment rate, and at the same time reduces the number of hardware components.

[0025] In a second aspect, the present invention provides an environmental detection method for a drone hangar. This method is applied to the sensor module for a drone hangar as described in the first aspect above. This method is executed by the processing module and includes:

[0026] Obtain the initial capacitance of each detection area;

[0027] Detect the capacitance change amount of each detection area, and determine the wind direction and wind volume according to the capacitance change amount of the area;

[0028] Detect the overall capacitance change amount of all detection areas, and confirm the rainfall and snowfall amounts according to the overall capacitance change amount.

[0029] In an optional implementation manner, determining the wind direction and wind volume according to the capacitance change amount of the area includes:

[0030] Compare the capacitance change amounts corresponding to each detection area, and determine the detection area with the largest change amplitude;

[0031] Determine the wind direction and wind volume according to the detection area with the largest change amplitude.

[0032] In an alternative embodiment, confirming the rainfall and snowfall amounts based on the overall capacitance change amount includes:

[0033] Obtaining the current ambient temperature data;

[0034] Comparing the overall capacitance change amount with an overall capacitance threshold to obtain a first comparison result;

[0035] Comparing the current ambient temperature data with a temperature threshold to obtain a second comparison result;

[0036] Confirming the rainfall and snowfall amounts according to the first comparison result and the second comparison result.

[0037] In an alternative embodiment, the method further includes:

[0038] Calibrating the initial capacitance of each detection area according to a set calibration period.

[0039] In a third aspect, the present invention provides a computer device, including: a memory and a processor, which are communicatively connected to each other. The memory stores computer instructions, and the processor executes the computer instructions to execute the environmental detection method for an unmanned aircraft storage library in the second aspect or any corresponding embodiment thereof.

[0040] In a fourth aspect, the present invention provides a computer-readable storage medium, on which computer instructions are stored. The computer instructions are used to cause a computer to execute the environmental detection method for an unmanned aircraft storage library in the second aspect or any corresponding embodiment thereof.

[0041] In a fifth aspect, the present invention provides a computer program product, including computer instructions, which are used to cause a computer to execute the environmental detection method for an unmanned aircraft storage library in the second aspect or any corresponding embodiment thereof. Description of the Drawings

[0042] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the specific embodiments or the prior art. Obviously, the following drawings are some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0043] Figure 1 is a stacked schematic diagram of a sensor module for an unmanned aircraft storage library according to an embodiment of the present invention;

[0044] Figure 2 is a schematic diagram of the wind direction determination area of the sensor module according to an embodiment of the present invention;

[0045] Figure 3 Schematic diagram for determining the air volume level of the sensor module according to an embodiment of the present invention;

[0046] Figure 4 Schematic diagram for determining the rain and snow volume level of the sensor module according to an embodiment of the present invention;

[0047] Figure 5 Schematic flow diagram of an environmental detection method for an unmanned aircraft hangar according to an embodiment of the present invention;

[0048] Figure 6 Schematic flow diagram of the operation of the sensor module according to an embodiment of the present invention;

[0049] Figure 7 Schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. Detailed implementation manners

[0050] To make the objectives, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0051] Current wind speed sensors and rain and snow sensors are widely used in unmanned aircraft hangar products, and most of them are placed outside the hangar. The mainstream technologies used for wind speed sensors in unmanned aircraft hangars include mechanical, i.e., cup anemometers, and ultrasonic technology-based wind speed sensors. In addition to these two, there are also thermal mode and Doppler laser technology-based ones, but due to the technical particularity of these two wind speed sensors, their applicable scenarios are limited and they are not used in unmanned aircraft hangars for the time being.

[0052] Most of the rain and snow sensors currently used in unmanned aircraft hangars adopt capacitive sensor technology. The main principle is to make the channels of capacitive metal traces on a printed circuit board. When rain or snow falls, the capacitance between adjacent channel traces changes, and whether there is rain or snow weather is judged based on the changed capacitance.

[0053] Currently, most of the sensors involved in unmanned aircraft hangar solutions are single-function sensor modules that are designed, laid out, and controlled independently. The advantage of doing this is that each single module is relatively simple in terms of function implementation and control. The main disadvantages are that the position space occupied in the structural layout is relatively large, and the structural dimensions, colors, appearances, and operating methods of different sensors are different, so it increases the development difficulty for the rationality of the design and the aesthetics of the layout.

[0054] Therefore, to solve the difficulties in the design and layout of multiple sensors, it is necessary to integrate the multifunctions of different sensors, which not only reduces the size difference limitations of multiple sensors, but also improves the convenience of development and design, and further optimizes the overall aesthetics of the drone hangar design. It has great advantages in terms of material cost, design aesthetics, disassembly and portability, as well as the flexibility of operation and application.

[0055] An embodiment of the present invention provides a sensor module for a drone hangar. The sensor module includes:

[0056] A curved surface sealing glass layer, on the outer surface of which there is a conductive coating, and the curved surface sealing glass layer is divided into multiple detection areas.

[0057] The curved surface sealing glass layer is the outermost structure of the sensor module, made of a curved surface glass material with sealing characteristics (such as UTG ultra-thin flexible glass), and a conductive coating (such as nano-silver material) is covered on the outer surface through a coating process. The surface of the glass layer is divided into multiple independent detection areas, and these areas are symmetrically distributed (such as equal-angle sector partitions). The curved surface sealing glass layer serves as a physical barrier to isolate the erosion of external environments such as rain, snow, and sand on the internal components (similar to the protective effect of the middle glass substrate). By dividing multiple detection areas, the directional perception of wind force is realized.

[0058] The sensor module further includes a capacitive induction film attached to the inner surface of the curved surface sealing glass layer to form a capacitor with the conductive coating.

[0059] The capacitive induction film is attached to the inner surface of the curved surface sealing glass layer, generally made of a flexible material (such as PET substrate), and a metal induction circuit is formed on the surface through etching or yellow light process to form a capacitive coupling with the external conductive coating. The conductive coating on the outer surface and the inner capacitive induction film form a capacitive structure, providing an initial capacitance reference for wind force and precipitation detection. When an external force (wind force) or a covering (rain and snow) acts on the curved surface glass layer, the capacitance value between the conductive coating and the induction film changes. Each detection area corresponds to an independent capacitive induction channel, and the local capacitance change is captured through the metal circuit on the induction film. Using a flexible substrate ensures that the circuit does not break when the glass arc bends.

[0060] The sensor module further includes a processing module, connected to the capacitive induction film, for detecting the regional capacitance change amount of each detection area and the overall capacitance change amount of all detection areas; and determining the wind direction and wind volume according to the regional capacitance change amount, and confirming the rainfall and snowfall amounts according to the overall capacitance change amount.

[0061] The processing module communicates with each channel of the capacitive sensing film through circuit connection, collects capacitive change data in real time and analyzes it. The capacitive change amounts of each detection area are collected through independent channels to locate the area with the largest change to determine the wind direction. When the capacitance values of all detection areas change synchronously (such as when rain, snow covers the entire surface), the processing module calculates the overall capacitive change amount to quantify the intensity of rain and snow. The capacitive change amount is mapped to the wind volume level, rainfall level and snowfall level through a preset mapping relationship.

[0062] Optionally, the detection areas are distributed in an equiangular fan shape on the arc-shaped sealed glass layer, and the shapes and areas of each detection area are the same. The arc-shaped sealed glass layer is evenly divided into multiple equiangular fan-shaped areas (for example, 12 fan-shaped areas), and the shape and area of each area are exactly the same, forming a symmetrically distributed detection grid. The equiangular partition design ensures that when the wind forces in different directions act on the arc surface, the force distribution in each area is uniform, avoiding deviation in wind direction determination caused by asymmetric partitioning. The uniform shape and area enable the capacitive change amounts in each area to be directly standardized, reducing the computational complexity. The fan-shaped distribution can also match the geometric characteristics of the arc-shaped glass, avoiding stress concentration caused by sharp edges.

[0063] Optionally, the above-mentioned processing module is provided with multiple capacitive sensing channels, each channel corresponds to a detection area, and the capacitive change amount is mapped to the environmental parameter level (wind volume, rainfall, snowfall) through a preset mapping relationship. Each detection area (the above-mentioned 12 fan-shaped partitions) corresponds to an independent capacitive sensing channel (such as 12 channels), and each channel is provided with an independent data transmission pin. The independent channels avoid signal crosstalk (for example, the capacitive change in area A does not affect the data in area B), ensuring the reliability of wind direction determination. Multiple groups of parameters (such as the difference in wind volume thresholds in different climate zones) can be pre-stored in the mapping relationship to adapt to different application scenarios.

[0064] Optionally, the processing module determines the detection area with the largest change amplitude by comparing the capacitive change amounts corresponding to each capacitive sensing channel to judge the wind direction and wind volume. The detection area corresponding to the maximum value can be screened out through a sorting algorithm (such as bubble sort).

[0065] The sensor module is also provided with a temperature detection module. The temperature detection module collects environmental temperature data in real time, and the processing module combines the overall capacitive change amount and environmental temperature data to confirm the rainfall or snowfall.

[0066] In addition, the processing module calibrates the initial capacitance of each detection area according to a set calibration period (such as once a day). Through regular calibration, the detection error is reduced. The calibration period can be dynamically adjusted according to environmental conditions to improve the adaptability in extreme climates.

[0067] In summary, the sensor module for the drone hangar provided by the embodiments of the present invention realizes the integration and high reliability of the drone hangar environment detection through the synergistic effect of technical features such as the arc-shaped sealing glass layer, equal-angle zoning design, independent capacitance induction channels, maximum change area determination, temperature-assisted calibration, and periodic reference correction. Specifically, the arc-shaped sealing glass layer and the conductive coating layer form a sealing and protection structure, providing an initial capacitance reference while isolating external erosion; the equal-angle sector zoning design and the independent capacitance channel layout form a symmetric detection framework to ensure the spatial uniformity of wind direction determination; through the rapid positioning of the maximum capacitance change area and the combination of independent channel data, high-precision wind direction detection without a mechanical structure is achieved; the introduction of a dual verification mechanism of temperature threshold and global capacitance change amount greatly reduces the rain and snow misjudgment rate; the periodic calibration dynamically corrects the initial capacitance reference to compensate for material aging and environmental temperature and humidity drift, enabling the sensor module to maintain long-term stability in extreme environments. The synergistic effect of the above features breaks through the technical bottlenecks of traditional split sensors in terms of structural redundancy, environmental adaptability, and maintenance costs, greatly improving the wind direction detection accuracy, significantly reducing the rain and snow misjudgment rate, and at the same time reducing the number of hardware components.

[0068] Based on the above sensor module for the drone hangar, a specific application example of the sensor module is provided below. The stacking of the sensor module is as Figure 1 shown.

[0069] The top layer of the sensor module is a UTG glass layer, which is made perpendicular to the bottom rigid circuit board around the perimeter and at the bottom, facilitating the formation of a surrounding edge structure for protection. The arc angle of the glass only needs to meet the layout of the internal touch drive circuit and device area without structural interference. At the same time, the larger the arc, the greater the process difficulty of the UTG glass, which means the lower the yield and the relatively higher the cost. A layer of nano-silver material is deposited on the arc-shaped surface of the UTG glass through a coating process, with a thickness of 3 - 5 microns. Its first function is to form an initial capacitance with the underlying PET capacitance induction film. When there is a wind volume acting on the glass surface, a capacitance change difference will be generated on the glass surface. This capacitance change difference is proportional to the force exerted by the wind volume on the nano-silver coating on the glass surface. Therefore, the wind volume size can be determined through the capacitance change amount.

[0070] The capacitive sensing film below is made of PET material and is fully bonded to the UTG glass through the solid glue OCA. Since the sensing film is generally 0.2 mm thick, it is very thin and flexible. There will be no influence of tension and process difficulty when fully bonded to the UTG glass through OCA. However, for the capacitive sensing layer on the PET capacitive sensing film, the traditional ITO trace has a high risk of fracture and function failure under the bent state. Therefore, here the capacitive sensing layer adopts the metalmesh capacitive sensing through the yellow light process on the inner layer of the PET capacitive sensing film. The advantage of this manufacturing method is that the line width of the metalmesh yellow light process can reach 2 microns, which can meet more sensing channel layouts and achieve more accurate direction positioning; compared with the application of the traditional ITO line process in capacitive sensing, the flexibility and anti-bending performance of the metalmesh trace process are better, and the lines and channels are not easily damaged and cause function failure, with stronger reliability; the UTG glass and the capacitive sensing film need to be fully bonded with the solid glue OCA, and the capacitive sensing traces are made on the inner layer, which can effectively avoid the influence of the outer layer's sensing traces, solid glue, and possible bonding foreign objects on the function.

[0071] Below the above capacitive sensing layer is a rigid circuit board, a touch drive circuit, and a driver. The specific functions of this part include: realizing the drive of the arc-shaped spherical capacitive sensing and realizing the capacitive touch function; (the main chips on the drive circuit are the touch chip and the MCU chip. The touch chip is used to perform analog-to-digital conversion on the capacitance change amount of the wind, rain, and snow on the capacitive sensing film and quantify it into the corresponding capacitance difference. The firmware in the MCU chip presets corresponding algorithms. The algorithms are used to match the capacitance difference data of the wind volume, rainfall, and snow volume in the touch chip with the corresponding wind volume level, rainfall level, and snow volume level, and then output their respective quantified data to the main control chip of the drone library.

[0072] The logic for determining the wind direction and wind volume is to first determine the wind direction. When the wind blows from a certain direction on the arc-shaped spherical surface, compared with other areas, some areas receive the largest wind volume. Therefore, the capacitive sensing film in this area on the arc-shaped spherical surface absorbs the largest capacitance change amount, and thus the wind direction can be determined. As Figure 2 shown, the arc-shaped spherical surface is divided into twelve areas, and the metal sensing traces and touch chip channels on the inner layer of the corresponding capacitive sensing film will also correspond to these twelve areas.

[0073] For the calculation of the wind volume size level, define a set of algorithms for the relationship between the capacitance change amount of the local area capacitance channel and the wind volume level, referring to Figure 3 . After the capacitance change amount of the area reaches the threshold, the wind direction is judged, and the initial capacitance of the area and the corresponding capacitance change amount are compared. According to the Figure 3 preset mapping relationship in, the wind force size level is judged.

[0074] Similar to the determination of wind direction and wind volume, a relationship algorithm between the differential data of the capacitance change of the overall capacitance channel of the arc spherical surface and the level of rain and snow volume is also defined for the determination of the level of rain and snow volume. Refer to Figure 4 . There are 12 detection areas on the arc spherical surface. If the capacitance change in more than 10 areas reaches the threshold, it can be judged that there is rain or snow. Whether it is rain or snow is judged according to the delay time of the overall capacitance change. Subsequently, according to the initial capacitance of all areas of the arc spherical surface and the overall capacitance change, the corresponding rain level or snow level can be judged.

[0075] The stacked design of the sensor module provided in this example can avoid the limitations of the fixed installation of traditional rain and snow sensors. The arc spherical surface design facilitates the diversion of rainwater and snowmelt, avoiding the accumulation of rain and snow on the surface for a long time and affecting the test. The rain and snow sensor and the wind direction and wind speed sensors are integrated into one, avoiding the separate design during structure stacking, saving the structure design space and facilitating design and development. It can not only measure the wind direction, but also the mtalmesh using the yellow light process can have an induction line width of 2 microns, so more capacitance induction channels can be carried, and more accurate wind direction determination can be achieved. The multi-functional integrated sensor in this solution realizes multiple functions as a whole. Just disassemble one module, which is convenient for disassembly and saves time at the same time. The peripheral UTG glass layer of the sensor module surface is made perpendicular to the bottom rigid circuit board, which is convenient for the surrounding edge structure treatment and convenient for the protection of the module.

[0076] This embodiment also provides an environmental detection method for an unmanned aircraft hangar, that is, the working process of the sensor module for the unmanned aircraft hangar described above. This method is executed by the processing module, and the process is as Figure 5 shown, including the following steps.

[0077] S501. Obtain the initial capacitance of each detection area.

[0078] Specifically, the initial capacitance is the reference capacitance value of the sensor module without external interference (such as no wind, no rain or snow). By pre-obtaining and storing this reference value, a quantitative reference benchmark is provided for the detection of subsequent dynamic environmental parameters (wind, rain, snow).

[0079] S502. Detect the capacitance change of each detection area, and determine the wind direction and wind volume according to the capacitance change of the area.

[0080] Specifically, when the wind acts on the arc surface sealing glass layer, the different force differences in different areas cause different local capacitance value changes between the capacitance sensing film and the conductive coating. By analyzing the capacitance change differences in each area, the maximum change area is located to determine the wind direction, and the wind volume is quantified in combination with the change amplitude.

[0081] S503. Detect the overall capacitance change of all detection areas, and confirm the rainfall and snowfall amounts based on the overall capacitance change.

[0082] Specifically, when rain or snow covers the entire arc surface, the capacitance values of all detection areas change synchronously. The overall capacitance change is related to the precipitation coverage area and thickness. The precipitation intensity is directly correlated through the global capacitance change (rather than local area differences).

[0083] Optionally, in the above step S502, by comparing the capacitance change amounts corresponding to each detection area, determine the detection area with the largest change amplitude; determine the wind direction and wind volume based on the detection area with the largest change amplitude.

[0084] Optionally, in the above step S503, first obtain the current ambient temperature data; then compare the overall capacitance change amount with the overall capacitance threshold to obtain a first comparison result; compare the current ambient temperature data with the temperature threshold to obtain a second comparison result; confirm the rainfall and snowfall amounts based on the first comparison result and the second comparison result.

[0085] Optionally, the above method further includes: calibrating the initial capacitance of each detection area according to a set calibration period.

[0086] Exemplarily, the working process of the above sensor module in a specific example refers to Figure 6 . The multi-functional sensor module is assembled on the drone hangar. After the drone hangar control system is powered on, the multi-functional sensor module is powered on. After the functions of the sensor module, including capacitive touch and MCU initialization, are completed, the sensor module enters the monitoring of wind, rain, and snow states.

[0087] The arc-shaped spherical surface capacitance induction is divided into two cases according to the area channels of the capacitance change on the surface area and the comparison between the capacitance value change amount and the MCU firmware preset threshold. If the capacitance change amount of the local capacitance channel meets the determination threshold requirement, assuming Figure 2 a certain area in the twelve arc-shaped spherical surface areas is the area with the largest capacitance change amount, the wind direction can be confirmed, and then the current wind volume level can be matched through the wind volume level determination algorithm; if the capacitance of the entire arc-shaped spherical surface changes, the rain and snow amount determination algorithm is used to determine the rain and snow amount levels. The wind direction, wind volume level, rainfall level, and snowfall level will be calculated and determined by the algorithm in the MCU of the sensor module and the corresponding data will be output, and then the index data of all parameters will be uploaded to the main control platform of the drone hangar.

[0088] Please refer to Figure 7 , Figure 7 which is a schematic structural diagram of a computer device provided by an optional embodiment of the present invention. As Figure 7As shown, the computer device includes: one or more processors 10, a memory 20, and interfaces for connecting the components, including a high-speed interface and a low-speed interface. Each component communicates with each other using different buses and can be installed on a common motherboard or in other ways as needed. The processor can process instructions executed within the computer device, including instructions stored in the memory or on the memory to display graphical information of the GUI on an external input / output device (such as a display device coupled to the interface). In some alternative embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a set of blade servers, or a multi-processor system). Figure 7 Taking one processor 10 as an example in

[0089] The processor 10 can be a central processing unit, a network processor, or a combination thereof. Among them, the processor 10 can further include a hardware chip. The above hardware chip can be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The above programmable logic device can be a complex programmable logic device, a field-programmable gate array, a generic array logic, or any combination thereof.

[0090] Among them, the memory 20 stores instructions executable by at least one processor 10, so that the at least one processor 10 executes the method shown in the above embodiments.

[0091] The memory 20 can include a program storage area and a data storage area. Among them, the program storage area can store an operating system and application programs required for at least one function; the data storage area can store data created according to the use of the computer device, etc. In addition, the memory 20 can include a high-speed random access memory and can also include a non-transitory memory, such as at least one disk storage device, a flash memory device, or other non-transitory solid-state storage devices. In some alternative embodiments, the memory 20 can optionally include a memory remotely set relative to the processor 10, and these remote memories can be connected to the computer device through a network. Examples of the above network include but are not limited to the Internet, an enterprise intranet, a local area network, a mobile communication network, and combinations thereof.

[0092] The memory 20 can include a volatile memory, such as a random access memory; the memory can also include a non-volatile memory, such as a flash memory, a hard disk, or a solid-state drive; the memory 20 can also include a combination of the above types of memories.

[0093] The computer device further includes an input device 30 and an output device 40. The processor 10, the memory 20, the input device 30, and the output device 40 may be connected by a bus or other means. Figure 7 Take the connection through the bus as an example.

[0094] The input device 30 can receive input digital or character information, and generate key signal inputs related to the user settings and function controls of the computer device, such as a touch screen, a keypad, a mouse, a trackpad, a touchpad, a pointing stick, one or more mouse buttons, a trackball, a joystick, etc. The output device 40 may include a display device, an auxiliary lighting device (e.g., an LED), and a tactile feedback device (e.g., a vibration motor), etc. The above display device includes, but is not limited to, a liquid crystal display, a light-emitting diode, a display, and a plasma display. In some alternative embodiments, the display device may be a touch screen.

[0095] The embodiment of the present invention also provides a computer-readable storage medium. The method according to the embodiment of the present invention can be implemented in hardware, firmware, or be implemented as computer code that can be recorded on a storage medium, or be implemented by downloading through a network and originally stored in a remote storage medium or a non-transitory machine-readable storage medium and will be stored in a local storage medium, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only memory, a random access memory, a flash memory, a hard disk, or a solid-state drive, etc.; further, the storage medium can also include a combination of the above types of memories. It can be understood that a computer, a processor, a microprocessor controller, or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by the computer, the processor, or the hardware, the method shown in the above embodiment is implemented.

[0096] A part of the present invention can be applied as a computer program product, such as computer program instructions. When executed by a computer, through the operation of the computer, the methods and / or technical solutions according to the present invention can be invoked or provided. Those skilled in the art should be able to understand that the forms of existence of computer program instructions in a computer-readable medium include, but are not limited to, source files, executable files, installation package files, etc. Correspondingly, the ways in which computer program instructions are executed by a computer include, but are not limited to: the computer directly executes the instructions, or the computer compiles the instructions and then executes the corresponding compiled program, or the computer reads and executes the instructions, or the computer reads and installs the instructions and then executes the corresponding installed program. Herein, the computer-readable medium can be any available computer-readable storage medium or communication medium accessible to the computer.

[0097] While embodiments of the present invention have been described in conjunction with the accompanying drawings, those skilled in the art can make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations fall within the scope defined by the appended claims.

Claims

1. A sensor module for an unmanned aerial vehicle hangar, characterized in that The sensor module includes: A curved surface sealing glass layer, on the outer surface of which there is a conductive coating, and the curved surface sealing glass layer is divided into a plurality of detection areas; The sensor module further includes a capacitive sensing film attached to the inner surface of the curved surface sealing glass layer to form a capacitor with the conductive coating; The sensor module further includes a processing module, connected to the capacitive sensing film, for detecting the regional capacitance change amount of each detection area and the overall capacitance change amount of all detection areas; and determining the wind direction and wind volume according to the regional capacitance change amount, and confirming the rainfall and snowfall amount according to the overall capacitance change amount.

2. The sensor module according to claim 1, wherein The detection areas are distributed in an equiangular fan shape on the curved surface sealing glass layer, and the shapes and areas of the detection areas are the same.

3. The sensor module according to claim 2, wherein The processing module is provided with a plurality of capacitive sensing channels, and each capacitive sensing channel corresponds to a detection area; Mapping the detected capacitance change amount to an environmental parameter level through a preset mapping relationship; the mapping relationship is used to represent the wind volume level, rainfall level or snowfall level corresponding to different capacitance change amounts.

4. The sensor module according to claim 3, wherein, The processing module determines the detection area with the largest change amplitude by comparing the capacitance change amounts corresponding to each capacitive sensing channel to judge the wind direction and wind volume.

5. The sensor module according to claim 3, wherein The sensor module further includes a temperature detection module; The temperature detection module is used to obtain environmental temperature data; The processing module compares the overall capacitance change amount with an overall capacitance threshold to obtain a first comparison result; Comparing the current environmental temperature data with a temperature threshold to obtain a second comparison result; Confirming the rainfall and snowfall amount according to the first comparison result and the second comparison result.

6. The sensor module according to claim 5, wherein The processing module calibrates the initial capacitance of each detection area according to a set calibration period.

7. An environmental detection method for an unmanned aerial vehicle hangar, characterized in that, The method is applied to the sensor module for an unmanned aircraft hangar according to any one of claims 1 to 6, the method is executed by a processing module, and the method includes: Obtaining the initial capacitance of each detection area; Detecting the regional capacitance change amount of each detection area and determining the wind direction and wind volume according to the regional capacitance change amount; Detecting the overall capacitance change amount of all detection areas and confirming the rainfall and snowfall amount according to the overall capacitance change amount.

8. The method according to claim 7, wherein The determining the wind direction and wind volume according to the regional capacitance change amount includes: Comparing the capacitance change amounts corresponding to each detection area to determine the detection area with the largest change amplitude; Determining the wind direction and wind volume according to the detection area with the largest change amplitude.

9. The method according to claim 8, wherein The confirming the rainfall and snowfall amount according to the overall capacitance change amount includes: Obtaining the current environmental temperature data; Comparing the overall capacitance change amount with an overall capacitance threshold to obtain a first comparison result; Comparing the current environmental temperature data with a temperature threshold to obtain a second comparison result; Confirming the rainfall and snowfall amount according to the first comparison result and the second comparison result.

10. The method according to claim 9, wherein The method further includes: Calibrating the initial capacitance of each detection area according to a set calibration period.

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