Drone control method and device, drone and core network device

A control method and control device technology, applied in traffic control systems, aircraft traffic control, control/regulation systems, etc., can solve problems such as management difficulties, unmanned aerial vehicles are not allowed to fly, and the relationship between difficult drones and no-fly areas , to achieve the effect of effective management

Active Publication Date: 2019-03-08
BEIJING XIAOMI MOBILE SOFTWARE CO LTD
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AI-Extracted Technical Summary

Problems solved by technology

[0003] In practical application scenarios, there are some no-fly areas that do not allow drones to fly, but for a large numbe...
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Method used

[0155] In one embodiment, the core network can only obtain information from the preset server that the minimum distance from the boundary to the drone's current position is less than the no-fly zone of the preset distance, because the drone's flight range within a certain period of time It will not be too large, so the information of the no-fly area obtained from the preset server may not be all the information of the no-fly area, but only the information of the no-fly area with a small distance to the current position of the drone, thereby reducing the acquisition The data volume of the information in the no-fly area can speed up the acquisition speed.
[0210] The process...
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Abstract

The present disclosure relates to a drone control method and device, and the method is applicable to drones and comprises: sending attachment request information to a core network; receiving information of a no-fly zone for a drone obtained by the core network from a preset server; and determining whether the drone can fly or not according to a relationship between the current location of the drone and the no-fly zone. By accessing the core network, the drone of the present disclosure can obtain the information of the no-fly zone for the drone from the preset server through the core network, and then can determine whether the drone can fly or not according to the relationship between the current location of the drone and the no-fly zone. For example, in a case where the current location ofthe drone is in the no-fly zone, a negative determination is made; and in a case where the current location of the drone is out of the no-fly zone, a positive determination is made. Therefore, relying on the core network, the relationship between the drone and the no-fly zone is accurately determined, and the effective management of all drones accessing the core network is realized.

Application Domain

Technology Topic

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  • Drone control method and device, drone and core network device
  • Drone control method and device, drone and core network device
  • Drone control method and device, drone and core network device

Examples

  • Experimental program(1)

Example Embodiment

[0105] The exemplary embodiments will be described in detail here, and examples thereof are shown in the accompanying drawings. When the following description refers to the accompanying drawings, unless otherwise indicated, the same numbers in different drawings represent the same or similar elements. The implementation manners described in the following exemplary embodiments do not represent all implementation manners consistent with the present disclosure. Rather, they are only examples of devices and methods consistent with some aspects of the present disclosure as detailed in the appended claims.
[0106] figure 1 It is a schematic flow chart showing a method for controlling a drone according to an exemplary embodiment. The drone control method described in this embodiment can be applied to a drone, and the drone can access a core network corresponding to a cellular network through a base station. Such as figure 1 As shown, the drone control method includes the following steps.
[0107] In step S11, attach request information is sent to the core network.
[0108] In one embodiment, the drone may send attachment request information to the core network when it is started, or it may send attachment request information to the core network when receiving the request instruction, where the request instruction may come from the control drone. Remote control device, or mobile phone and other terminal applications.
[0109] Wherein, the attachment request information can be displayed attachment request information or implicit attachment request information.
[0110] In step S12, the information of the no-fly zone for drones obtained by the core network from a preset server is received.
[0111] In one embodiment, after receiving the attachment request information sent by the drone, the core network may send the request information for obtaining the information of the drone no-fly zone to the preset server, and the preset server receives the request After the information is provided, the information of the no-fly zone for drones can be sent to the core network.
[0112] After receiving the information of the no-fly zone, the core network can send the information of the no-fly zone to the drone, or generate the current location and information of the drone based on the information of the current location of the drone and the information of the no-fly zone. The information about the relationship in the no-fly zone is sent to the drone.
[0113] In step S13, it is determined whether the drone can fly according to the relationship between the current position of the drone and the no-fly zone.
[0114] In one embodiment, the drone can receive information about the no-fly zone from the core network, and generate information about the relationship between the current location and the no-fly zone based on the information of its current location and the information about the no-fly zone; The aircraft can also directly receive information about the relationship between the current position of the drone and the no-fly zone generated by the core network. Among them, the information of the drone no-fly area stored in the preset server can be updated in real time. For example, certain areas can be added as drone no-fly areas, or some areas can be removed from the drone no-fly areas. area.
[0115] In one embodiment, by accessing the core network, the drone can obtain the information of the drone no-fly zone from a preset server through the core network, and then can determine whether it can be based on the relationship between its current location and the no-fly zone flight. For example, when one's current position is in the no-fly zone, it is determined that the flight is not allowed; when the current position is outside the no-fly zone, it is determined that the flight is allowed. Thus relying on the core network to accurately determine the relationship between drones and no-fly areas, and to achieve effective management of all drones connected to the core network.
[0116] figure 2 It is a schematic flowchart showing another drone control method according to an exemplary embodiment. Such as figure 2 Shown in figure 1 Based on the illustrated embodiment, the drone control method further includes:
[0117] In step S14, when sending attachment request information to the core network, send the current location information of the drone to the core network;
[0118] In step S15, when receiving the information of the no-fly zone obtained by the core network from a preset server, the information about the relationship between the current position of the drone and the no-fly zone generated by the core network is received.
[0119] In one embodiment, when the drone sends attachment request information to the core network, it can send the current location information of the drone to the core network together. After obtaining the information of the no-fly zone from the preset server, the core network can generate information about the relationship between the current location of the drone and the no-fly zone based on the information of the current location of the drone and the information of the no-fly zone, such as unmanned The current location of the drone is within the no-fly zone, or the current location of the drone is outside the no-fly zone, and the information about the relationship between the current location of the drone and the no-fly zone is sent to the drone.
[0120] Based on this, there is no need for drones to determine the relationship between the current location of the drone and the no-fly zone, but the relationship between the current location of the drone and the no-fly zone can be determined based on the information sent by the core network, which is beneficial to reduce the drone's calculations burden.
[0121] It should be noted that step S14 can be as figure 2 It is shown to be executed after step S11, and it can also be set to be executed in parallel with step S11 as required. Step S15 can be as figure 2 It is shown to be executed after step S12, and it can also be set to be executed in parallel with step S12 as required.
[0122] image 3 It is a schematic flowchart showing yet another drone control method according to an exemplary embodiment. Such as image 3 Shown in figure 1 Based on the illustrated embodiment, the drone control method further includes:
[0123] In step S16, before determining whether the drone can fly, information about the current location of the drone is acquired;
[0124] In step S17, information about the relationship between the current position of the drone and the no-fly zone is generated.
[0125] In one embodiment, after the drone receives the information about the no-fly zone sent by the core network, it can obtain information about its current location according to positioning systems such as GPS (Global Positioning System), and then can obtain information about its current location and The information of the no-fly zone generates information about the relationship between the current position of the drone and the no-fly zone.
[0126] Based on this, there is no need for the core network to generate information about the relationship between the UAV's current location and the no-fly zone, but the UAV can generate information about the relationship between the UAV's current location and the no-fly zone, which is beneficial to reduce the core network calculations. burden.
[0127] It should be noted, figure 2 with image 3 The embodiment shown can be selected according to the actual situation. For example, when the UAV has strong computing power and the core network load is large, it can be selected image 3 The embodiment shown, for example, when the UAV has weak computing power and the core network load is small, you can choose figure 2 Example shown.
[0128] Figure 4 It is a schematic flowchart showing yet another drone control method according to an exemplary embodiment. Such as Figure 4 Shown in figure 1 On the basis of the illustrated embodiment, the determining whether the drone is flying according to the relationship between the current position of the drone and the no-fly zone includes:
[0129] In step S131, if the current position of the drone is within the no-fly zone, it is determined that the drone is not flyable;
[0130] In step S132, if the current location of the drone is outside the no-fly zone, it is determined that the drone can fly.
[0131] In one embodiment, the relationship between the current location of the drone and the no-fly zone mainly includes two relationships, that is, the current location of the drone is within the no-fly zone and the current location of the drone is outside the no-fly zone. When the current location of the drone is in the no-fly zone, it is determined that the drone is not allowed to fly in the no-fly zone. When the current location of the drone is outside the no-fly zone, it is UAVs are not prohibited from flying, so it is determined that UAVs can fly.
[0132] Specifically, the no-fly zone can be defined by multiple coordinates (such as latitude and longitude coordinates) to determine its boundary, and according to the relationship between the boundary and the current position of the drone, it is determined whether the drone is located in the no-fly zone or outside the no-fly zone.
[0133] Figure 5 It is a schematic flowchart showing yet another drone control method according to an exemplary embodiment. Such as Figure 5 Shown in Figure 4 Based on the illustrated embodiment, the drone control method further includes:
[0134] In step S18, if it is determined that the drone is not flying, if the drone is flying, control the drone to land.
[0135] In one embodiment, the drone can detect its current state when it is determined that it is not flying, and if it is currently flying, it can control itself to land to avoid continuing to fly in the no-fly zone and violating corresponding regulations.
[0136] Image 6 It is a schematic flowchart showing yet another drone control method according to an exemplary embodiment. Such as Image 6 Shown in Figure 4 On the basis of the illustrated embodiment, it also includes:
[0137] In step S19, if it is determined that the drone is not capable of flying, if an instruction to control the drone to take off is received, a prompt message is returned to the device that sent the instruction.
[0138] In one embodiment, when the drone is determined to be non-flyable, it may still receive an instruction to control its takeoff sent by a control device, terminal, etc., then the drone can send the instruction to the controller or terminal Return the prompt message to remind you that you are currently in the no-fly zone, so that the drone controller can understand the reason why the drone cannot take off in time.
[0139] Figure 7 It is a schematic flow chart showing a method for controlling a drone according to an exemplary embodiment. The drone control method described in this embodiment can be applied to the core network of a cellular network, and the drone can access the core network through a base station. Such as Figure 7 As shown, the drone control method includes the following steps.
[0140] In step S71, receiving attachment request information sent by the drone;
[0141] In step S72, obtain the information of the no-fly zone for drones from the preset server;
[0142] In step S73, the information of the no-fly zone is sent to the drone.
[0143] In one embodiment, after receiving the attachment request information sent by the drone, the core network may send the request information for obtaining the information of the drone no-fly zone to the preset server, and the preset server receives the request After the information is provided, the information of the no-fly zone for drones can be sent to the core network.
[0144] After the core network receives the information of the no-fly area, it can send the information of the no-fly area to the drone, so that the drone can receive the information of the no-fly area from the core network, and based on the information of its current location and the no-fly area. The information of the flying area determines the relationship between its current position and the no-fly area. Thus relying on the core network to accurately determine the relationship between drones and no-fly areas, and to achieve effective management of all drones connected to the core network.
[0145] Figure 8 It is a schematic flowchart showing another drone control method according to an exemplary embodiment. Such as Figure 8 Shown in Figure 7 Based on the illustrated embodiment, the drone control method further includes:
[0146] In step S74, when receiving the attachment request information, receiving information about the current location of the drone;
[0147] In step S75, information about the relationship between the current position of the drone and the no-fly zone is generated;
[0148] In step S76, when the information of the no-fly zone is sent to the drone, the information of the relationship is sent to the drone.
[0149] In one embodiment, when the core network receives the attachment request information sent by the drone, it can also receive the current location information of the drone. Furthermore, after obtaining the information of the no-fly zone from the preset server, the information about the relationship between the current position of the drone and the no-fly zone can be generated according to the information of the current position of the drone and the information of the no-fly zone, such as drones The current location is within the no-fly zone, or the current location of the drone is outside the no-fly zone, and information about the relationship between the current location of the drone and the no-fly zone is sent to the drone.
[0150] Based on this, there is no need for drones to determine the relationship between the current location of the drone and the no-fly zone, but the relationship between the current location of the drone and the no-fly zone can be determined based on the information sent by the core network, which is beneficial to reduce the drone's calculations burden.
[0151] Picture 9 It is a schematic flowchart showing yet another drone control method according to an exemplary embodiment. Such as Picture 9 Shown in Figure 7 Based on the illustrated embodiment, the drone control method further includes:
[0152] In step S77, when receiving the attachment request information, receiving information about the current location of the drone;
[0153] Wherein, the obtaining the information of the no-fly zone for drones from the preset server includes:
[0154] In step S721, information about the no-fly zone where the minimum distance from the boundary to the current position of the drone is less than the preset distance is obtained from the preset server.
[0155] In one embodiment, the core network may only obtain information from the preset server of the no-fly zone where the minimum distance from the boundary to the current position of the drone is less than the preset distance, because the drone will not exceed the flying range within a certain period of time. Therefore, the no-fly area information obtained from the preset server may not be the information of all no-fly areas, but only the information of the no-fly areas with a small distance to the current location of the drone, thereby reducing the acquisition of no-fly areas The data volume of the information, speed up the acquisition speed.
[0156] Specifically, the information of the no-fly area that needs to be acquired can be determined according to the relationship between the minimum distance from the boundary of the no-fly area to the current position of the drone and the preset distance.
[0157] Corresponding to the foregoing embodiment of the drone control method, the present disclosure also provides an embodiment of the drone control device.
[0158] Picture 10 It is a schematic block diagram showing a UAV control device according to an exemplary embodiment. The drone control device described in this embodiment can be applied to drones, and the drones can access the core network corresponding to the cellular network through the base station. Such as Picture 10 As shown, the drone control device includes:
[0159] The request sending module 101 is configured to send attachment request information to the core network;
[0160] The information receiving module 102 is configured to receive the information of the no-fly zone for drones obtained by the core network from a preset server;
[0161] The flight determination module 103 is configured to determine whether the drone can fly according to the relationship between the current position of the drone and the no-fly zone.
[0162] Picture 11 It is a schematic block diagram showing another drone control device according to an exemplary embodiment. Such as Picture 11 Shown in Picture 10 Based on the illustrated embodiment, the drone control device further includes:
[0163] The information sending module 104 is configured to send the current location information of the drone to the core network when the request sending module 101 sends attachment request information to the core network;
[0164] Wherein, the information receiving module 102 is further configured to receive the current position of the drone and the no-fly area generated by the core network when receiving the information of the no-fly zone obtained by the core network from a preset server. Information about the relationship of the area.
[0165] Picture 12 It is a schematic block diagram showing yet another drone control device according to an exemplary embodiment. Such as Picture 12 Shown in Picture 10 Based on the illustrated embodiment, the drone control device further includes:
[0166] The location acquisition module 105 is configured to acquire information about the current location of the drone before the flight determination module 103 determines whether the drone can fly;
[0167] The relationship generation module 106 is configured to generate information about the relationship between the current position of the drone and the no-fly zone.
[0168] Optionally, the flight determination module is configured to determine that the drone is not flyable when the current position of the drone is within the no-fly zone; In the case outside the no-fly zone, it is determined that the drone can fly.
[0169] Figure 13 It is a schematic block diagram showing yet another drone control device according to an exemplary embodiment. Such as Figure 13 As shown, the drone control device also includes:
[0170] The control module 107 is configured to control the drone to land if it is determined that the drone is not flying.
[0171] Figure 14 It is a schematic block diagram showing yet another drone control device according to an exemplary embodiment. Such as Figure 14 As shown, the drone control device also includes:
[0172] The prompt module 108 is configured to return prompt information to the device sending the instruction if it receives an instruction to control the drone to take off when it is determined that the drone is not flyable.
[0173] Figure 15 It is a schematic block diagram showing a UAV control device according to an exemplary embodiment. The drone control device described in this embodiment can be applied to the core network of a cellular network, and the drone can access the core network through a base station. include:
[0174] The request receiving module 151 is configured to receive attachment request information sent by the drone;
[0175] The no-fly obtaining module 152 is configured to obtain information about the no-fly area of ​​drones from a preset server;
[0176] The information sending module 153 is configured to send the information of the no-fly zone to the drone.
[0177] Figure 16 It is a schematic block diagram showing another drone control device according to an exemplary embodiment. Such as Figure 16 Shown in Figure 15 Based on the illustrated embodiment, the drone control device further includes:
[0178] The information receiving module 154 is configured to receive information about the current location of the drone when the request receiving module receives the attachment request information;
[0179] The relationship generation module 155 is configured to generate information about the relationship between the current position of the drone and the no-fly zone;
[0180] Wherein, the information sending module 153 is further configured to send the information of the relationship to the drone when sending the information of the no-fly zone to the drone.
[0181] Figure 17 It is a schematic block diagram showing yet another drone control device according to an exemplary embodiment. Such as Figure 17 Shown in Figure 15 Based on the illustrated embodiment, the drone control device further includes:
[0182] The information receiving module 156 is configured to receive information about the current location of the drone when the request receiving module 151 receives the attachment request information;
[0183] Wherein, the no-fly acquisition module 152 is configured to acquire the information of the no-fly zone where the minimum distance from the boundary to the current position of the drone is less than the preset distance from the preset server.
[0184] Regarding the device in the foregoing embodiment, the specific manner in which each module performs operation has been described in detail in the embodiment of the related method, and detailed description will not be given here.
[0185] As for the device embodiment, since it basically corresponds to the method embodiment, the relevant part can refer to the part of the description of the method embodiment. The device embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separated, and the components displayed as modules may or may not be physical modules, that is, they may be located in One place, or it can be distributed to multiple network modules. Some or all of the modules can be selected according to actual needs to achieve the objectives of the solutions of the present disclosure. Those of ordinary skill in the art can understand and implement it without creative work.
[0186] The present disclosure also proposes a drone, including:
[0187] processor;
[0188] A memory for storing processor executable instructions;
[0189] Wherein, the processor is configured to:
[0190] Send attachment request information to the core network;
[0191] Receiving the information of the no-fly zone for drones obtained by the core network from a preset server;
[0192] According to the relationship between the current position of the drone and the no-fly zone, it is determined whether the drone can fly.
[0193] The present disclosure also proposes a core network device, including:
[0194] processor;
[0195] A memory for storing processor executable instructions;
[0196] Wherein, the processor is configured to:
[0197] Receive attachment request information sent by the drone;
[0198] Obtain the information of the no-fly zone for drones from the preset server;
[0199] Send the information of the no-fly zone to the drone.
[0200] The present disclosure also proposes a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the following steps are implemented:
[0201] Send attachment request information to the core network;
[0202] Receiving the information of the no-fly zone for drones obtained by the core network from a preset server;
[0203] According to the relationship between the current position of the drone and the no-fly zone, it is determined whether the drone can fly.
[0204] The present disclosure also proposes a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the following steps are implemented:
[0205] Receive attachment request information sent by the drone;
[0206] Obtain the information of the no-fly zone for drones from the preset server;
[0207] Send the information of the no-fly zone to the drone.
[0208] Figure 18 It is a schematic block diagram showing a device 1800 for controlling a drone according to an exemplary embodiment. For example, the device 1800 may be a mobile phone, a computer, a digital broadcasting terminal, a messaging device, a game console, a tablet device, a medical device, a fitness device, a personal digital assistant, etc.
[0209] Reference Figure 18 , The device 1800 may include one or more of the following components: a processing component 1802, a memory 1804, a power component 1806, a multimedia component 1808, an audio component 1810, an input/output (I/O) interface 1812, a sensor component 1814, and a communication component 1816.
[0210] The processing component 1802 generally controls the overall operations of the device 1800, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 1802 may include one or more processors 1820 to execute instructions to complete all or part of the steps of the foregoing method. In addition, the processing component 1802 may include one or more modules to facilitate the interaction between the processing component 1802 and other components. For example, the processing component 1802 may include a multimedia module to facilitate the interaction between the multimedia component 1808 and the processing component 1802.
[0211] The memory 1804 is configured to store various types of data to support the operation of the device 1800. Examples of such data include instructions for any application or method operating on the device 1800, contact data, phone book data, messages, pictures, videos, etc. The memory 1804 can be implemented by any type of volatile or non-volatile storage device or their combination, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable Programmable read only memory (EPROM), programmable read only memory (PROM), read only memory (ROM), magnetic memory, flash memory, magnetic or optical disk.
[0212] The power supply component 1806 provides power to various components of the device 1800. The power supply component 1806 may include a power management system, one or more power supplies, and other components associated with the generation, management, and distribution of power for the device 1800.
[0213] The multimedia component 1808 includes a screen that provides an output interface between the device 1800 and the user. In some embodiments, the screen may include a liquid crystal display (LCD) and a touch panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, sliding, and gestures on the touch panel. The touch sensor may not only sense the boundary of the touch or slide action, but also detect the duration and pressure related to the touch or slide operation. In some embodiments, the multimedia component 1808 includes a front camera and/or a rear camera. When the device 1800 is in an operation mode, such as a shooting mode or a video mode, the front camera and/or the rear camera can receive external multimedia data. Each front camera and rear camera can be a fixed optical lens system or have focal length and optical zoom capabilities.
[0214] The audio component 1810 is configured to output and/or input audio signals. For example, the audio component 1810 includes a microphone (MIC). When the device 1800 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode, the microphone is configured to receive external audio signals. The received audio signal may be further stored in the memory 1804 or transmitted via the communication component 1816. In some embodiments, the audio component 1810 further includes a speaker for outputting audio signals.
[0215] The I/O interface 1812 provides an interface between the processing component 1802 and the peripheral interface module. The peripheral interface module may be a keyboard, a click wheel, a button, and the like. These buttons may include but are not limited to: home button, volume button, start button, and lock button.
[0216] The sensor assembly 1814 includes one or more sensors for providing the device 1800 with various aspects of status assessment. For example, the sensor component 1814 can detect the on/off status of the device 1800 and the relative positioning of the components. For example, the component is the display and the keypad of the device 1800. The sensor component 1814 can also detect the position change of the device 1800 or a component of the device 1800. , The presence or absence of contact between the user and the device 1800, the orientation or acceleration/deceleration of the device 1800, and the temperature change of the device 1800. The sensor assembly 1814 may include a proximity sensor configured to detect the presence of nearby objects when there is no physical contact. The sensor component 1814 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor component 1814 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor or a temperature sensor.
[0217] The communication component 1816 is configured to facilitate wired or wireless communication between the device 1800 and other devices. The device 1800 can access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an exemplary embodiment, the communication component 1816 receives a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 1816 further includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module can be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology and other technologies.
[0218] In an exemplary embodiment, the apparatus 1800 may be implemented by one or more application specific integrated circuits (ASIC), digital signal processors (DSP), digital signal processing devices (DSPD), programmable logic devices (PLD), field programmable Gate array (FPGA), controller, microcontroller, microprocessor or other electronic components are used to implement the above Figure 1 to Figure 6 The method shown in any embodiment.
[0219] In an exemplary embodiment, there is also provided a non-transitory computer-readable storage medium including instructions, such as the memory 1804 including instructions, which may be executed by the processor 1820 of the device 1800 to complete the foregoing method. For example, the non-transitory computer-readable storage medium may be ROM, random access memory (RAM), CD-ROM, magnetic tape, floppy disk, optical data storage device, etc.
[0220] Such as Figure 19 As shown, Figure 19 It is a schematic block diagram showing a device 1900 for controlling a drone according to an exemplary embodiment. The apparatus 1900 may be provided as a base station. Reference Figure 19 The device 1900 includes a processing component 1922, a wireless transmitting/receiving component 1924, an antenna component 1926, and a signal processing part specific to a wireless interface. The processing component 1922 may further include one or more processors. One of the processors in the processing component 1922 may be configured to execute the above Figure 7 to Figure 9 The method shown in any embodiment.
[0221] After considering the specification and practicing the disclosure disclosed herein, those skilled in the art will easily think of other embodiments of the present disclosure. This application is intended to cover any variations, uses, or adaptive changes of the present disclosure. These variations, uses, or adaptive changes follow the general principles of the present disclosure and include common knowledge or conventional technical means in the technical field not disclosed in the present disclosure. . The description and the embodiments are only regarded as exemplary, and the true scope and spirit of the present disclosure are pointed out by the following claims.
[0222] It should be understood that the present disclosure is not limited to the precise structure that has been described above and shown in the drawings, and various modifications and changes can be made without departing from its scope. The scope of the present disclosure is only limited by the appended claims.
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