Network quality measurement method and system

Abstract

The present disclosure provides a network quality measurement method and system. This method determines the moving path and moving speed of the carrier device according to the size of the space and the endurance of the carrier device, and controls the carrier device to move on the moving path at the moving speed. During the movement of the carrier device, the network quality in the space is measured according to the measurement frequency to generate network quality data. Determine whether the network quality in the space has changed according to the network quality data. Detect whether there are obstacles around the carrier device. When it is determined that the network quality in the space has changed or it is detected that there are obstacles around the carrier device, adjust at least one of the moving path, moving speed and measurement frequency.

Description

Technical Field

[0001] The present disclosure relates to a quality measurement method and system, and more particularly to a network quality measurement method and system. Background Art

[0002] The demand for high-bandwidth and low-latency mobile network deployment in application fields such as drone sports, drone performances or smart factories is increasing. For drone sports, drone competitions have received high attention in recent years and have become one of the popular events. There are already competition alliances such as FAI (Fédération Aéronautique Internationale) and DRL (Drone Racing League) that regularly hold competitions around the world, which has driven business opportunities for sports broadcasting and peripheral advertising.

[0003] The images used by current competitive drones are analog signals with low resolution and full of noise, which makes it difficult to broadcast high-quality images. The deployment of 5G private networks can solve the above problems. High-speed bandwidth data performance and millisecond-level latency performance mean that more data can be processed, and the quality of image transmission can be improved simultaneously, thereby bringing clear and shocking image performance to greatly enhance the entertainment effect and experience.

[0004] The traditional network deployment method is to collect measurement data by manual fixed-point sampling through a frequency sweeper or execution program. However, using this method for network deployment in the application field of 5G private networks will encounter the following problems: it is impossible to measure the network quality in three-dimensional (3D) space through manual fixed-point sampling, and the fixed-point measurement speed is slow and inefficient. In addition, how to use the measured network quality to adjust the network deployment or efficiently present the distribution of the network quality in the entire measurement space is another issue worthy of attention. Summary of the invention

[0005] The disclosed embodiment provides a network quality measurement method suitable for a carrier device. The method includes determining a moving path and a moving speed of the carrier device according to the size of the space and the endurance of the carrier device, and controlling the carrier device to move on the moving path at the moving speed. During the movement of the carrier device, the network quality in the space is measured according to the measurement frequency to generate network quality data. Determine whether the network quality in the space has changed according to the network quality data. Detect whether there are obstacles around the carrier device. When it is determined that the network quality in the space has changed or it is detected that there are obstacles around the carrier device, adjust at least one of the moving path, the moving speed and the measurement frequency.

[0006] The disclosed embodiment provides a network quality measurement system, which includes a vehicle device. The vehicle device includes a controller, a network quality detector and an obstacle detector. The controller is used to determine the moving path and moving speed of the vehicle device according to the range size of the space and the endurance time of the vehicle device, and control the vehicle device to move on the moving path at the moving speed. The network quality detector is coupled to the controller, and is used to measure the network quality in the space according to the measurement frequency during the movement of the vehicle device to generate network quality data. The obstacle detector is coupled to the controller, and is used to detect whether there are obstacles around the vehicle device. The controller determines whether the network quality in the space has changed based on the network quality data. When the controller determines that the network quality in the space has changed or the obstacle detector detects that there are obstacles around the vehicle device, the controller adjusts at least one of the moving path, moving speed and measurement frequency.

[0007] In order to make the present disclosure more clearly understood, embodiments are given below and described in detail with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] Figure 1 is a block diagram of a network quality measurement system according to an embodiment of the present disclosure.

[0009] Figure 2 is a flow chart of a network quality measurement method according to an embodiment of the present disclosure.

[0010] Figure 3 FIG. 4 is a flow chart of a method for converting data from a time domain to a space domain according to an embodiment of the present disclosure.

[0011] Figure 4 is a flow chart of a method for visualizing measurement results according to an embodiment of the present disclosure.

[0012] Figure 5 It is a three-dimensional view for visualizing measurement results according to an embodiment of the present disclosure.

[0013] Figure 6 It is a three-dimensional view for visualizing measurement results according to another embodiment of the present disclosure. DETAILED DESCRIPTION

[0014] For private network application fields with high demands on network quality, existing measurement methods cannot obtain the network status in three-dimensional space, which makes it difficult to deploy flying vehicles. In addition, the efficiency of existing measurement methods is poor, and it is difficult to meet the needs of quickly adjusting deployment in line with changes on site. To solve these two major problems, the embodiments of the present disclosure propose a network quality measurement method and system. During the movement of the flying vehicle, this method uses a network quality meter to measure the network quality in space, and uses an obstacle detector to detect the environment around the flying vehicle. By obtaining the above information, it can be determined whether the network quality in space has changed and whether there are obstacles around the flying vehicle, and in the case of at least one of the above conditions, the deployment is adjusted to strengthen the measurement of areas with poor network quality. In addition, this method can also combine images to present the measurement results in a visual manner, thereby improving the efficiency of reviewing the measurement results and making the effectiveness of network deployment clear at a glance.

[0015] Figure 1 is a block diagram of a network quality measurement system according to an embodiment of the present disclosure. Figure 1 The network quality measurement system 10 of this embodiment includes a vehicle device 100. The vehicle device 100 is, for example, an unmanned aerial vehicle, which may be a drone, but is not limited thereto. In this embodiment, the vehicle device 100 includes a controller 102, a network quality detector 104, and an obstacle detector 106.

[0016] The controller 102 is, for example, a central processing unit (CPU), or other programmable general-purpose or special-purpose microprocessor, digital signal processor (DSP), programmable controller, application specific integrated circuits (ASIC) or other similar devices or a combination of these devices.

[0017] The network quality detector 104 can measure network information such as available bandwidth, response latency, network jitter, packet loss rate, received signal strength indication (RSSI), etc., and is coupled to the controller 102 to transmit the measured data to the controller 102 so that the controller 102 can determine whether the network quality of the surrounding environment of the vehicle device 100 has changed.

[0018] The obstacle detector 106 is, for example, a radar, an acoustic sensor device, or an optical sensor device, such as an optical radar using light detection and ranging (LiDAR), a depth camera, an image capture device, etc., which has the function of sensing the distance of an object. In this embodiment, the obstacle detector 106 can detect the surrounding environment and is coupled to the controller 102 to transmit the detected data to the controller 102 so that the controller 102 can determine whether there is an obstacle in the surrounding environment of the vehicle device 100.

[0019] In one embodiment, the carrier device 100 includes a positioner 108 , a timer 110 , and a memory 112 .

[0020] The locator 108 uses a positioning system (such as a Global Positioning System (GPS), a Real-Time Kinematic (RTK) positioning system, or an Ultra-wideband (UWB) positioning system, etc.) to obtain the size of the space (including length, width, and height) to be measured by the vehicle device 100, and is coupled to the controller 102, so that the controller 102 obtains the coordinate position of the vehicle device 100 through the locator 108 according to the size of the space range and the measurement frequency.

[0021] The timer 110 is coupled to the controller 102 , generates a clock signal and outputs the clock signal to the controller 102 , so that the controller 102 obtains a current measurement timestamp of measuring network quality according to the clock signal.

[0022] The memory 112 is, for example, any type of random access memory (RAM), read-only memory (ROM), flash memory, hard disk or similar element or a combination of the above elements. In the present embodiment, the memory 112 is coupled to the controller 102, and the controller 102 integrates the coordinate information and the measurement timestamp to generate a measurement record, and stores the measurement record in the memory 112. The measurement record includes the moving speed, moving path, measurement frequency and network quality data corresponding to the coordinate information and the measurement timestamp.

[0023] In another embodiment, the carrier device 100 includes an image capturer 114, and the network quality measurement system 10 includes a terminal device 200. The terminal device 200 is, for example, a portable computer, a tablet computer, a smart phone, a personal digital assistant (PDA), but is not limited thereto. In this embodiment, the terminal device 200 includes an image processor 202 and an image display 204.

[0024] The image capturer 114 is, for example, an electronic device having the function of capturing or shooting images, such as a camera, an infrared camera or a visible light camera. In this embodiment, the image capturer 114 captures images of the carrier device 100 during its movement.

[0025] The image processor 202 is, for example, a central processing unit (CPU), or other programmable general-purpose or special-purpose microprocessor, digital signal processor (DSP), programmable controller, application specific integrated circuit (ASIC), or other similar components or a combination of the above components, but is not limited thereto. In the present embodiment, the image processor 202 is coupled to the memory 112 and the image capturer 114. The image processor 202 can obtain various data from the memory 112 and obtain images from the image capturer 114 to execute the method of visualizing the measurement results of the present embodiment to generate a visualized stereogram.

[0026] The image display 204 is a device with display function such as a liquid crystal display (LCD) or an organic light-emitting diode (OLED), but is not limited thereto. In this embodiment, the image display 204 is coupled to the image processor 202 to display the visual stereogram generated by the image processor 202.

[0027] Figure 2 is a flow chart of a network quality measurement method according to an embodiment of the present disclosure. Figure 1 and Figure 2 , the method 20 of this embodiment is applicable to Figure 1 The network quality measurement system 10 is used as an example. The following describes the detailed steps of the network quality measurement method disclosed in the present invention in combination with the motion relationship between the various devices in the network quality measurement system 10.

[0028] First, in step S200, the controller 102 determines the moving path and moving speed of the carrier device 100 according to the size of the space and the endurance of the carrier device 100. In detail, the controller 102 obtains the size of the space to be measured by the carrier device 100 through the locator 108, and estimates the flight parameters of the carrier device 100 such as the moving speed, bypass density, bypass sequence, number of repetitions, pause mode and interval according to the size of the space and the endurance of the carrier device 100. In one embodiment, the endurance of the carrier device 100 is a certain proportion (e.g., 50%) of the flight time to retain the flexibility of dynamically changing the measurement method in the future. In one embodiment, the moving path can first be fixed at a fixed height to bypass the XY plane and then change the height, but it is not limited to this.

[0029] In step S202, the controller 102 controls the vehicle device 100 to move on the moving path at a moving speed. During the movement of the vehicle device 100, the obstacle detector 106 and the network quality detector 104 can respectively perform step S204 and step S208 simultaneously (this embodiment takes this as an example). In one embodiment, the obstacle detector 106 and the network quality detector 104 can also respectively perform step S204 and step S208 in sequence, and vice versa.

[0030] In step S204, the obstacle detector 106 detects whether there are obstacles around the vehicle device 100. When the obstacle detector 106 detects that there are obstacles around the vehicle device 100, the process proceeds to step S206, and the controller 102 adjusts at least one of the moving path, moving speed, and measurement frequency. Then, the process returns to step S202, and the controller 102 controls the vehicle device 100 to move on the adjusted moving path at the adjusted moving speed.

[0031] Specifically, when the obstacle detector 106 detects that the vehicle device 100 has an obstacle within a predetermined distance, the controller 102 obtains the obstacle distance between the vehicle device 100 and the obstacle from the obstacle detector 106. Then, the controller 102 adjusts at least one of the moving path, moving speed, and measuring frequency according to the obstacle distance (for example, reducing the moving speed or adjusting the detour density), and updates the measurement record in the memory 112 according to the adjusted moving path, moving speed, and at least one of the measuring frequency and the obstacle distance. In one embodiment, the predetermined distance can be a radius of 5 meters or any value centered on the vehicle device 100, and the present disclosure is not limited thereto.

[0032] In one embodiment, when the controller 102 determines that an obstacle may collide with the vehicle device 100, the controller 102 activates a local path planning method (e.g., Dynamic Window Approach (DWA)) to avoid the obstacle. This method, combined with increasing the detour density of the vehicle device 100, can improve the detour precision in areas with obstacles, thereby collecting more intensive measurement data.

[0033] In step S208, the network quality detector 104 measures the network quality in the space according to the measurement frequency to generate network quality data. Then, in step S210, the controller 102 determines whether the network quality in the space has changed according to the network quality data. When the controller 102 determines that the network quality in the space has changed, it goes to step S206, and the controller 102 adjusts at least one of the moving path, the moving speed, and the measurement frequency. Then, it returns to step S202, and the controller 102 controls the carrier device 100 to move on the adjusted moving path at the adjusted moving speed.

[0034] In detail, the controller 102 determines whether the measurement result of the network quality at that time is significantly lower than a certain critical value or has undergone significant changes. And when the controller 102 determines that the measurement result of the network quality at that time is significantly lower than a certain critical value or has undergone significant changes, it adjusts at least one of the moving path, moving speed, and measurement frequency (for example, reducing the moving speed or adjusting the detour density). In one embodiment, the above changes can be directly judged through the records of changes over time during the movement of the carrier device 100. In another embodiment, the above changes can also be first judged after synchronizing the movement record of the carrier device 100 and the measurement record of the network quality detector 104 and then converting it into a spatial distribution record of the quality measurement value. This method of converting data from the time domain to the spatial domain will be in Figure 3 Detailed description in.

[0035] Returning to step S204 and step S210, when the obstacle detector 106 detects that there are no obstacles around the vehicle device 100 or the controller 102 determines that the network quality in the space has not changed, it returns to step S202, the vehicle device 100 continues to move on the original moving path at the original moving speed, and the obstacle detector 106 and the network quality detector 104 continue to detect and measure until the return conditions are met (for example, the vehicle device 100 completes the detour), and the vehicle device 100 executes the return.

[0036] In one embodiment, the controller 102 receives an external instruction, and adjusts at least one of the moving path, moving speed, and measuring frequency according to the external instruction, and updates the measurement record in the memory 112 according to at least one of the adjusted moving path, moving speed, and measuring frequency. Then, the controller 102 controls the carrier device 100 to move on the adjusted moving path at the adjusted moving speed.

[0037] Figure 3 FIG. 4 is a flow chart of a method for converting data from a time domain to a space domain according to an embodiment of the present disclosure.

[0038] During the measurement process of the vehicle device 100, the memory 112 will not only record various data related to the vehicle device 100 (such as speed, coordinates, detour status, obstacle distance, etc.), but also record various data measured by the network quality detector 104 (such as available bandwidth, response delay, network jitter, packet loss rate, RSSI, etc.). In one embodiment, the above data are recorded over time and are stored independently in the memory 112.

[0039] In this embodiment, Figure 2 The determination of whether the network quality has changed in step S210 requires the data recorded over time to be converted into spatial distribution records of quality measurement values ​​that vary with space. In short, the controller 102 samples and converts the network quality data of the carrier device 100 in space according to the predetermined sub-region size to determine whether the network quality in space has changed.

[0040] Please also refer to Figure 1 and Figure 3 , the method 30 of this embodiment is applicable to Figure 1 The network quality measurement system 10 is used as an example. The following describes the detailed steps of the method for converting data from the time domain to the space domain in accordance with the motion relationship between the devices in the network quality measurement system 10.

[0041] First, in step S300, the controller 102 cuts the space into multiple sub-regions according to the sub-region size. For example, the controller 102 cuts the space to be measured into M*N*K sub-regions with the sub-region size Gsize, establishes a coordinate system corresponding to M*N*K, and each sub-region has a corresponding sub-region coordinate index Gi=(x, y, z). In one embodiment, when measuring a space of 50 meters by 50 meters by 20 meters, the sub-region size Gsize can be 125 cubic meters (5 meters by 5 meters by 5 meters) or any value, and the present disclosure is not limited to this. In one embodiment, M, N and K are 10, 10 and 4 and are all positive integers.

[0042] Next, in step S302, the controller 102 obtains the coordinate information of the vehicle device 100 according to the measurement timestamp. In one embodiment, the coordinate information of the vehicle includes a record of time and the coordinate parameters of the vehicle at that time point. The coordinate parameters can be a global coordinate system (such as the longitude, latitude and altitude of GPS), or a distance value of a three-dimensional coordinate system relative to a certain origin. In one embodiment, if the coordinates used are global coordinates (such as GPS), the distance between the coordinates can be obtained by calculation.

[0043] In step S304, the controller 102 determines each time region in which the vehicle device 100 falls according to the coordinate information, so as to obtain the time stamp corresponding to the vehicle device 100 entering and leaving each time region in the measurement timestamp. Then, in step S306, the controller 102 classifies the network quality data according to the time stamp, so that the classified network quality data corresponds to each time region. In one embodiment, the controller 102 uses the time stamp of entering and leaving each time region as an index, calculates and obtains the sub-region coordinate index corresponding to the network quality data recorded in the memory 112 according to the distance value obtained by the coordinate parameter and the sub-region size Gsize, and corresponds the recorded network quality data to each time region.

[0044] In step S308, the controller 102 calculates at least one quality measurement value corresponding to each sub-region based on the classified network quality data, and generates a spatial measurement record matrix corresponding to at least one quality measurement value. In some embodiments, the indicators used to measure network quality include: packet response time, packet loss rate, network jitter, available bandwidth, signal-to-interference plus noise ratio, received signal strength indicator, etc. Specifically, the above calculation method can be to calculate the average value of the network quality data in the sub-region (for example, to calculate the average packet response time of 10 times by arithmetic mean); or to calculate a score value (for example, a score value of 1 to 20) through quantization operation; or after calculating the score values ​​of various measurement data, a single quality measurement value is calculated by weighted summing according to application requirements.

[0045] In this embodiment, converting the data recorded over time into spatial distribution records of quality measurement values ​​that vary over space has the following two functions:

[0046] First, the controller 102 can compare at least one quality measurement value of adjacent sub-regions in the three-dimensional space. When the difference in at least one quality measurement value of adjacent sub-regions is greater than a critical value, the controller 102 determines that the network quality in the space has changed significantly. The significant change in network quality may be caused by signal shielding or signal interference. In one embodiment, the measurement process can be triggered to adjust the movement mode of the carrier device 100 or the measurement density to enhance the measurement of this area. On the other hand, the controller 102 can also adjust the initial sub-region size Gsize to obtain a denser sub-region to calculate a more accurate gradient. This approach can solve the problem of being unable to detect measurement changes in the direction of non-carrier device 100 movement due to the lack of the concept of space when judging simply from time.

[0047] Second, the terminal device 200 can also use the spatial distribution record of the quality measurement value to establish the measurement quality distribution of the entire three-dimensional space, and present the quality measurement value of each area in a specific color or material. This method of visualizing the measurement results will be described in Figure 4 Detailed description in.

[0048] Figure 4 is a flow chart of a method for visualizing measurement results according to an embodiment of the present disclosure. Figure 1 and Figure 4 The method 40 of this embodiment is applicable to Figure 1 The network quality measurement system 10 is used as an example. The following describes the detailed steps of the method for visualizing the measurement results of the present disclosure in conjunction with the motion relationship between the various devices in the network quality measurement system 10.

[0049] First, in step S400, the image processor 202 receives an image from the image capturer 114 and obtains an image timestamp of the image. In step S402, the image processor 202 maps the coordinate information of the vehicle device 100 to the image timestamp. In step S404, the image processor 202 obtains the posture parameters of the vehicle device 100 and the lens parameters of the image capturer 114 according to the image.

[0050] In step S406, the image processor 202 calculates the viewing angle position in the three-dimensional space according to the posture parameters and the lens parameters. Then, in step S408, the image processor 202 obtains at least one quality measurement value corresponding to multiple sub-regions in the viewing angle position according to the spatial measurement record matrix. In step S410, the image processor 202 classifies at least one quality measurement value so that at least one quality measurement value corresponds to a color mark of different colors or a material mark of different materials according to the category. In step S412, the image processor 202 combines the at least one quality measurement value corresponding to the color mark or the material mark and the image to generate a visual stereogram.

[0051] In one embodiment, the image processor 202 can determine the range of the visual stereogram that can be currently seen based on the lens parameters (such as the field of view angle), the vehicle coordinates and the vehicle attitude, thereby determining the quality measurement value of the sub-area that needs to be rendered. In one embodiment, when the image processor 202 draws the quality measurement value in the visual stereogram, the position and size of the visual material that should be drawn in the plane image can be calculated by perspective projection. In one embodiment, the coordinate parameters can be a global coordinate system (such as the longitude, latitude and altitude of GPS), or a distance value of a three-dimensional coordinate system relative to a certain origin. The attitude parameters can be the roll angle, pitch angle and yaw angle of the aircraft to the coordinate system at that time, which can be expressed in three Euler angle values ​​or quaternion in one embodiment. In one embodiment, if the lens angle can be different from the aircraft head direction due to the installation method or the control rotation itself, the attitude parameters also include the rotation angle of the lens itself.

[0052] In step S414, the image display 204 displays the visual stereogram generated by the image processor 202. For example, Figure 5 The 3D image 50 is a visualization of the measurement results according to an embodiment of the present disclosure. In the visualization 3D image 50, different material renderings represent different quality measurement values, which can intuitively present the measurement results in the image.

[0053] In one embodiment, when an image update is received from the image capturer 114 (eg, when an image recording file is played or a streaming image is updated), steps S400 to S414 are repeated.

[0054] In one embodiment, when receiving the coordinate information and posture parameters corresponding to the image timestamp of the image from the image capturer 114 , the image processor 202 simultaneously calculates and updates the viewing angle position in the three-dimensional space to change the visual stereogram that needs to be drawn on the image.

[0055] In one embodiment, during the process of performing the visualization of the measurement results, if the image processor 202 finds that the memory 112 contains information about the distance of obstacles, or other information about vehicle control behaviors related to enhanced area measurement (such as speed change, adding detour points), or adjustment of the measurement information interval, the image processor 202 will cooperate to enhance the presentation effect of this area during the visualization of the measurement results. Therefore, when converting data from the time domain to the space domain, the controller 102 will determine whether to adjust the size Gsize of the sub-area used to cut the measurement space based on information such as the distance of obstacles, the moving speed, or the measurement frequency, so that the image processor 202 can dynamically change the presentation effect of the visualization of the measurement results.

[0056] In one embodiment, the image processor 202 can directly obtain at least one quality measurement value corresponding to multiple sub-regions in the space from the spatial measurement record matrix in the memory 112, and present the at least one quality measurement value using different colors or materials to generate a visual stereogram. Figure 6 This is a three-dimensional view of visualizing measurement results according to another embodiment of the present disclosure. In the visual three-dimensional view 60, different material renderings represent different quality measurement values, which can intuitively present the measurement results in space.

[0057] The specific order and / or hierarchy of steps in the methods of the disclosed embodiments are exemplary approaches. Based on design preferences, the specific order or hierarchy of steps of the disclosed methods or processes may be rearranged while remaining within the scope of the disclosed embodiments. Therefore, one of ordinary skill in the art will understand that the methods and techniques of the disclosed embodiments present various steps or actions in a sample order, and the disclosed embodiments are not limited to the specific order or hierarchy presented, unless otherwise explicitly stated.

[0058] In summary, the network quality measurement method and system disclosed in the present invention can automatically change the moving path and moving speed of the flying vehicle or the network quality measurement frequency to strengthen the measurement in the area with poor network quality when obstacles are detected around the flying vehicle or the network quality in the space changes significantly, thereby dynamically adjusting the network deployment and reducing the network deployment time. In addition, this method can also combine images to present the measurement results in a visual way, thereby efficiently presenting the distribution of network quality in the entire measurement space.

[0059] Although the present disclosure has been disclosed as above by way of embodiments, it is not intended to limit the present disclosure. Any person skilled in the art may make slight changes and modifications without departing from the spirit and scope of the present disclosure. Therefore, the protection scope of the present disclosure shall be subject to the definition of the preceding claims.

Claims

1. A network quality measurement method, suitable for a carrier device, characterized in that: include: Determine the moving path and moving speed of the carrier device according to the size of the space and the endurance of the carrier device, and control the carrier device to move on the moving path at the moving speed; During the movement of the carrier device, measuring the network quality in the space according to a measurement frequency to generate network quality data; determining, according to the network quality data, whether the network quality in the space has changed; Detecting whether there are obstacles around the vehicle device; and When it is determined that the network quality in the space has changed or the obstacle is detected around the vehicle device, adjusting at least one of the moving path, the moving speed, and the measuring frequency; The method further comprises: Get the size of the space; Obtaining coordinate information of the carrier device according to the range of the space and the measurement frequency; Obtaining a measurement timestamp of the current network quality measurement according to a clock signal generated by the carrier device; and The coordinate information and the measurement timestamp are integrated to generate a measurement record, wherein the measurement record includes the moving speed, the moving path, the measurement frequency, and the network quality data corresponding to the coordinate information and the measurement timestamp.

2. The network quality measurement method according to claim 1, characterized in that: When the obstacle is detected around the vehicle device, the step of adjusting at least one of the moving path, the moving speed and the measuring frequency includes: When it is detected that the vehicle device has the obstacle within a predetermined distance, the obstacle distance between the vehicle device and the obstacle is obtained, the moving path, the moving speed and at least one of the measurement frequency are adjusted according to the obstacle distance, and the measurement record is updated according to the adjusted moving path, the moving speed and at least one of the measurement frequency and the obstacle distance.

3. The network quality measurement method according to claim 1, characterized in that: Also includes: An external instruction is received, at least one of the moving path, the moving speed and the measuring frequency is adjusted according to the external instruction, and the measuring record is updated according to at least one of the adjusted moving path, the moving speed and the measuring frequency.

4. The network quality measurement method according to claim 1, wherein the step of determining whether the network quality in the space has changed according to the network quality data comprises: The network quality data of the carrier device in the space is sampled and converted according to a predetermined sub-region size to determine whether the network quality in the space has changed.

5. The network quality measurement method according to claim 4, characterized in that: Also includes: Dividing the space into a plurality of sub-regions according to the size of the sub-regions; Obtaining the coordinate information of the carrier device according to the measurement timestamp; Determine each sub-region where the carrier device falls according to the coordinate information, so as to obtain a time stamp corresponding to the carrier device entering and leaving each sub-region in the measurement timestamp; classifying the network quality data according to the time stamp, so that the classified network quality data corresponds to each of the sub-regions; as well as At least one quality measurement value corresponding to each of the sub-regions is calculated according to the classified network quality data, and a spatial measurement record matrix corresponding to the at least one quality measurement value is generated.

6. The network quality measurement method according to claim 5, characterized in that: The at least one quality measurement value of the adjacent sub-areas is compared, and when the difference between the at least one quality measurement value of the adjacent sub-areas is greater than a critical value, it is determined that the network quality in the space has changed.

7. The network quality measurement method according to claim 5, characterized in that: Compare the at least one quality measurement value of the adjacent sub-regions, and when the difference between the at least one quality measurement value of the adjacent sub-regions is greater than a critical value, adjust the size of the sub-region, and cut the space into multiple sub-regions according to the adjusted size of the sub-region.

8. The network quality measurement method according to claim 5, characterized in that: Also includes: The image during the moving process is captured by the carrier device.

9. The network quality measurement method according to claim 8, characterized in that: Also includes: receiving the image and obtaining an image timestamp of the image; Corresponding the coordinate information of the carrier device to the image timestamp; Obtaining posture parameters and lens parameters of the vehicle device according to the image; Calculating a viewing angle position in a three-dimensional space according to the posture parameter and the lens parameter; Obtaining the at least one quality measurement value corresponding to a plurality of sub-regions in the viewing angle position according to the spatial measurement record matrix; Classifying the at least one quality measurement value so that the at least one quality measurement value corresponds to color marks of different colors or material marks of different materials according to the category; Combining the at least one product quality measurement value and the image with the corresponding color mark or material mark to generate a visual stereogram; as well as The visualization stereogram is displayed.

10. A network quality measurement system, characterized in that: include: The carrier device comprises: A controller, for determining a moving path and a moving speed of the carrier device according to a range of a space and a flight time of the carrier device, and controlling the carrier device to move on the moving path at the moving speed; A network quality detector coupled to the controller, for measuring the network quality in the space according to a measurement frequency to generate network quality data during the movement of the carrier device; and an obstacle detector, coupled to the controller, for detecting whether there are obstacles around the vehicle device, wherein the controller determines whether the network quality in the space changes according to the network quality data, and when the controller determines that the network quality in the space changes or the obstacle detector detects that there is the obstacle around the vehicle device, the controller adjusts at least one of the moving path, the moving speed, and the measurement frequency; Wherein, the carrier device further comprises: A locator coupled to the controller, for obtaining the size of the space, and the controller obtains the coordinate information of the carrier device through the locator according to the size of the space and the measurement frequency; A timer coupled to the controller, for generating a clock signal, and the controller obtains a current measurement timestamp of measuring the network quality according to the clock signal; and A memory is coupled to the controller, wherein the controller integrates the coordinate information and the measurement timestamp to generate a measurement record, and stores the measurement record in the memory, wherein the measurement record includes the moving speed, the moving path, the measurement frequency and the network quality data corresponding to the coordinate information and the measurement timestamp.

11. The network quality measurement system according to claim 10, characterized in that: When the obstacle detector detects that the vehicle device has the obstacle within a predetermined distance, the controller obtains the obstacle distance between the vehicle device and the obstacle, adjusts the moving path, the moving speed and at least one of the measurement frequency according to the obstacle distance, and updates the measurement record according to the adjusted moving path, the moving speed and at least one of the measurement frequency and the obstacle distance.

12. The network quality measurement system according to claim 10, characterized in that: The controller receives an external instruction, adjusts at least one of the moving path, the moving speed and the measuring frequency according to the external instruction, and updates the measuring record according to at least one of the adjusted moving path, the moving speed and the measuring frequency.

13. The network quality measurement system according to claim 10, characterized in that: The controller samples and converts the network quality data of the carrier device in the space according to a predetermined sub-region size to determine whether the network quality in the space changes.

14. The network quality measurement system according to claim 13, characterized in that: The controller: The space is divided into a plurality of sub-regions according to the size of the sub-regions, Obtaining the coordinate information of the carrier device according to the measurement timestamp. Determine each sub-region where the carrier device falls according to the coordinate information, so as to obtain a time stamp corresponding to the carrier device entering and leaving each sub-region in the measurement timestamp. classifying the network quality data according to the time stamp, so that the classified network quality data corresponds to each of the sub-regions, and At least one quality measurement value corresponding to each of the sub-regions is calculated according to the classified network quality data, and a spatial measurement record matrix corresponding to the at least one quality measurement value is generated.

15. The network quality measurement system according to claim 14, characterized in that: The controller compares the at least one quality measurement value of the adjacent sub-areas, and when the difference between the at least one quality measurement value of the adjacent sub-areas is greater than a critical value, the controller determines that the network quality in the space has changed.

16. The network quality measurement system according to claim 14, characterized in that: The controller compares the at least one quality measurement value of the adjacent sub-regions. When the difference between the at least one quality measurement value of the adjacent sub-regions is greater than a critical value, the controller adjusts the size of the sub-region and divides the space into multiple sub-regions according to the adjusted size of the sub-region.

17. The network quality measurement system according to claim 14, characterized in that: The carrier device also includes: The image capturer is used to capture the image during the moving process.

18. The network quality measurement system according to claim 17, characterized in that: Also includes: The terminal device comprises: An image processor, coupled to the memory and the image capturer, for: receiving the image and obtaining an image timestamp of the image, Corresponding the coordinate information of the carrier device to the image timestamp, Obtaining the posture parameters of the vehicle device and the lens parameters of the image capturer according to the image, Calculating the viewing angle position in three-dimensional space according to the posture parameters and the lens parameters, According to the spatial measurement record matrix, the at least one quality measurement value corresponding to a plurality of sub-regions in the viewing angle position is obtained, classifying the at least one quality measurement value so that the at least one quality measurement value corresponds to color marks of different colors or material marks of different materials according to the category, and Combining the at least one product quality measurement value and the image with the corresponding color mark or material mark to generate a visual stereogram; as well as The image display is coupled to the image processor and is used for displaying the visual stereogram.

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