Display method, communication quality optimization method, electronic equipment and storage medium

Abstract

The invention provides a display method, a communication quality optimization method, electronic equipment and a storage medium, and relates to the technical field of communication. The display method comprises the following steps: acquiring network performance measurement information of a current detection point, and collecting a calibration image of the current detection point; acquiring an environment image; according to the obtained calibration image of the detection point, determining the position of the obtained detection point in the environment image, and adding augmented reality (AR) information to the position of the obtained detection point; wherein the AR information corresponding to each acquired detection point comprises network performance measurement information of the detection point; and at least displaying the AR information. According to the invention, the display information corresponding to the obtained detection point can be enriched, so that the detection personnel can accurately and visually check the corresponding network performance measurement information at the position of the obtained detection point, the detection personnel can conveniently analyze the communication quality of the detection point, and the detection accuracy of the communication quality of the detection point is improved.

Description

Technical Field

[0001] This application relates to the field of communication technologies, and particularly to a display method, a communication quality optimization method, an electronic device, and a storage medium. Background Art

[0002] Currently, during the measurement of communication signals in an indoor scenario, it is usually necessary to obtain multiple detection points in different areas of the indoor environment and determine information such as the communication quality corresponding to the multiple detection points by manually marking points on a pre-drawn indoor floor plan.

[0003] However, since each detection point is manually selected and displayed in a planar manner, it is impossible to intuitively display the detection information of each detection point in the floor plan, and the detection information obtained based on the floor plan is limited, so it is impossible to accurately measure the communication quality of the detection points, reducing the detection accuracy of the communication quality of the detection points. Summary of the Invention

[0004] This application provides a display method, a communication quality optimization method, an electronic device, and a storage medium.

[0005] An embodiment of this application provides a display method applied to a detection terminal. The display method includes: obtaining network performance measurement information of a current detection point, and collecting a calibration image of the current detection point; collecting an environmental image; determining the position of the obtained detection point in the environmental image according to the calibration image of the obtained detection point, and adding augmented reality (AR) information at the position of the obtained detection point; where the AR information corresponding to each obtained detection point includes the network performance measurement information of the detection point; and at least displaying the AR information.

[0006] An embodiment of this application provides a communication quality optimization method applied to a server connected to a detection terminal. The communication quality optimization method includes: obtaining a calibration image of an obtained detection point corresponding to the detection terminal and the network performance measurement information of the obtained detection point; determining the position of a virtual detection point corresponding to the obtained detection point in a preset virtual space model according to the calibration image of the obtained detection point; where the preset virtual space model is a model constructed based on actual road test scenario information; adding the network performance measurement information of the obtained detection point at the position of the virtual detection point, and displaying the network performance measurement information of the obtained detection point in the preset virtual space model; and analyzing the network performance measurement information of the virtual detection point according to the position of the virtual detection point in the preset virtual space model to determine an optimization method for the communication quality of the obtained detection point.

[0007] An embodiment of the present application provides an electronic device, including: one or more processors; a memory storing one or more programs, which when executed by the one or more processors, cause the one or more processors to implement any one of the display methods in the embodiments of the present application, or any one of the communication quality optimization methods in the embodiments of the present application.

[0008] An embodiment of the present application provides a readable storage medium storing a computer program, which when executed by a processor, implements any one of the display methods in the embodiments of the present application, or any one of the communication quality optimization methods in the embodiments of the present application.

[0009] In an embodiment of the present application, the detection terminal acquires network performance measurement information of the current detection point and collects a calibration image of the current detection point, and accurately determines the position information of the current detection point through the calibration image; the detection terminal also collects the surrounding environmental images in real time, determines the position of the acquired detection point in the environmental image according to the acquired calibration image of the detection point, adds augmented reality (AR) information at the position of the acquired detection point, and at least displays the AR information, which can enrich the display information corresponding to the acquired detection point, enabling the detection personnel to accurately and intuitively view the corresponding network performance measurement information at the position of the acquired detection point, facilitating the detection personnel to analyze the communication quality of the detection point and improving the detection accuracy of the communication quality of the detection point.

[0010] More descriptions about the above embodiments and other aspects of the present application and their implementation manners are provided in the accompanying drawings, the specific implementation manners, and the claims. Description of the Drawings

[0011] Figure 1 A flowchart showing a display method provided by an embodiment of the present application.

[0012] Figure 2 A flowchart showing a communication quality optimization method provided by an embodiment of the present application.

[0013] Figure 3 A block diagram showing the composition of a detection terminal provided by an embodiment of the present application.

[0014] Figure 4 A block diagram showing the composition of a server provided by an embodiment of the present application.

[0015] Figure 5 A block diagram showing the composition of a detection system provided by an embodiment of the present application.

[0016] Figure 6 A flowchart showing the working method of a detection system provided by an embodiment of the present application.

[0017] Figure 7 A block diagram showing the composition of an electronic device provided by an embodiment of the present application. Detailed implementation manners

[0018] To enable those skilled in the art to better understand the technical solutions of the present application, the following will describe exemplary embodiments of the present application with reference to the accompanying drawings. Various details of the embodiments of the present application are included to assist in understanding, and they should be considered merely exemplary. Therefore, those of ordinary skill in the art should recognize that various changes and modifications can be made to the embodiments described herein without departing from the scope and spirit of the present application. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted below.

[0019] Without conflict, the embodiments of the present application and the features in each embodiment can be combined with each other.

[0020] As used herein, the term "and / or" includes any and all combinations of one or more of the related listed items. The terms used herein are only for describing specific embodiments and are not intended to limit the present application. As used herein, the singular forms "a" and "the" are also intended to include the plural forms unless the context clearly indicates otherwise. It will also be understood that when the terms "comprises" and / or "is made of" are used in this specification, it specifies the presence of the stated features, wholes, steps, operations, elements, and / or components, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements, components, and / or their groups. "Connection" or "connected" and other similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect.

[0021] Unless otherwise defined, the meanings of all terms (including technical and scientific terms) used herein are the same as those commonly understood by those of ordinary skill in the art. It will also be understood that terms such as those defined in common dictionaries should be interpreted as having a meaning consistent with their meaning in the relevant art and the context of the present application, and will not be interpreted as having an idealized or overly formal meaning unless clearly defined herein.

[0022] During the optimization process of a communication network, testers need to use road test equipment to detect the communication quality in different areas. In an indoor scenario, it is usually necessary to pre-draw an indoor floor plan, and then, by manually marking points on the indoor floor plan, multiple detection points in different areas of the indoor can be obtained; then, the road test equipment will move to each detection point in turn to measure the communication quality.

[0023] However, since each detection point is manually selected and displayed in a planar manner, it is impossible to intuitively display the detection information of each detection point in a planar map, and the detection information obtained based on the planar map is limited, and the communication quality of the detection point cannot be accurately measured, reducing the detection accuracy of the communication quality of the detection point.

[0024] The present application provides a display method, a communication quality optimization method, an electronic device, and a storage medium, which can enable a detection person to accurately and intuitively view the corresponding network performance measurement information at the position of the obtained detection point in an indoor road test scenario or a scenario where a positioning signal cannot be received outdoors (such as a positioning signal sent by the Global Positioning System (GPS) or the Beidou Navigation Satellite System (BDS)), facilitating the detection person to analyze the communication quality of the detection point and improving the detection accuracy of the communication quality of the detection point.

[0025] Figure 1 The flowchart of a display method provided by an embodiment of the present application is shown. This display method can be applied to a detection terminal. The detection terminal can be an Augmented Reality (AR) glasses, or a smart terminal with AR display function (such as a smart phone or a tablet computer, etc.), or a transparent device with AR display function (such as a car window, etc.). The present application does not limit this and will not elaborate here.

[0026] As Figure 1 shown, the display method in the embodiment of the present application includes but is not limited to the following steps.

[0027] Step S101, obtain the network performance measurement information of the current detection point, and collect the calibration image of the current detection point.

[0028] Among them, the calibration image of the current detection point represents the image of the detection point that actually exists in the actual detection scenario. For example, at the current moment, the environment around the current detection point is collected to obtain the calibration image of the current detection point.

[0029] The network performance measurement information of the current detection point is used to characterize information such as the strength of the communication signal sent by the network-side device received by the detection terminal at the detection point. For example, the network performance measurement information includes at least one of the following: the received power of the downlink reference signal (Reference Signal Received Power, RSRP), the reference signal received quality (Reference Signal Received Quality, RSRQ), the signal to interference plus noise ratio (Signal to Interference plus Noise Ratio, SINR), and the data upload rate and data download rate.

[0030] In some embodiments, the network performance measurement information of the current detection point is information obtained by measuring the network performance of the detection point where the detection terminal is currently located when the detection terminal receives a detection instruction sent by the server; this network performance policy information can reflect network performance information such as the communication quality corresponding to the current detection point, facilitating subsequent network optimization of this detection point.

[0031] Step S102, collect environmental images.

[0032] Among them, the detection terminal will collect environmental images around the detection point in real time. Among them, this environmental image not only includes the environmental image seen by the tester at the current detection point, but also includes the environmental image of the detection point passed by the detection terminal during the process of the tester changing the angle, etc.

[0033] It should be noted that due to the different shooting angles of the detection terminal, the current detection point will change into an acquired detection point over time; correspondingly, the calibration image of the current detection point will also correspondingly become the calibration image of the acquired detection point.

[0034] Step S103, determine the position of the acquired detection point in the environmental image according to the calibration image of the acquired detection point, and add augmented reality (AR) information at the position of the acquired detection point.

[0035] Among them, the AR information corresponding to each acquired detection point includes the network performance measurement information of this detection point.

[0036] By matching the calibration image of the acquired detection point with the environmental image collected by the detection terminal in real time, the corresponding position of the acquired detection point in the environmental image can be determined. Then, AR information is added at the corresponding position of the acquired detection point in the environmental image to enrich the information in the environmental image.

[0037] Step S104, display at least the AR information.

[0038] Among them, the detection terminal can not only display AR information, but also display actual objects (such as furniture around the detection point, etc.), as well as captured image information, etc.

[0039] When the detection terminal is an AR glasses, the tester can not only view the actual object through the AR glasses, but also view the network performance measurement information at the position where the actual object is located, which is convenient for the tester to analyze the communication quality.

[0040] When the detection terminal is a smart phone with AR display function, during the process of the tester using the smart phone to capture an image of the detection point, in the display interface of the smart phone, not only the image information of the object captured by the smart phone can be displayed, but also the network performance measurement information can be displayed at the spatial position corresponding to the object.

[0041] In this embodiment, when the detection terminal receives a detection instruction, it will measure the network performance at its location, obtain the network performance measurement information of the current detection point, and collect the calibration image of the current detection point, and accurately determine the position information of the current detection point through the calibration image; the detection terminal will also collect the surrounding environment images in real time, determine the position of the obtained detection point in the environment image according to the obtained calibration image of the detection point, add augmented reality (AR) information at the position of the obtained detection point, and at least display the AR information, which can enrich the display information corresponding to the obtained detection point, enable the detector to accurately and intuitively view the corresponding network performance measurement information at the position of the obtained detection point, facilitate the detector to analyze the communication quality of the detection point, and improve the detection accuracy of the communication quality of the detection point.

[0042] In some exemplary embodiments, before obtaining the network performance measurement information of the current detection point in step S101, the method further includes: in response to a start instruction, moving to the current detection point according to the preset point position planning information. After collecting the calibration image of the current detection point in step S101, the method further includes: matching the calibration image of the current detection point with the position information of the current detection point in the preset point position planning information to obtain a matching result; updating the position of the current detection point according to the matching result.

[0043] Among them, the preset point position planning information includes the preset position information of multiple pre-planned detection points. When the detection terminal receives a start instruction, the detection point will move to the current detection point according to the preset position information and detect the network performance measurement information of the current detection point; at the same time, the detection terminal will also collect the calibration image of the current detection point.

[0044] Since the preset position information is the position information of the pre-planned detection points (for example, the preset position information of the pre-planned detection points is the position information obtained by positioning the longitude and latitude of the detection points based on a preset positioning system (such as a GPS system or a BDS system, etc.)), when the detection terminal moves and tests in the actual environment, there may be a position deviation. Therefore, the detection terminal will match the calibrated image of the current detection point it obtains with the preset position information. For example, by analyzing the calibrated image of the current detection point, the actual position information of the current detection point is obtained, and then the actual position information of the current detection point is compared with the preset position information to determine whether the position of the current detection point needs to be corrected and updated.

[0045] If there is a position deviation between the actual position information of the current detection point and the preset position information, the preset position information can be updated according to the position deviation, so as to obtain the accurate position of the current detection point, improve the accuracy of the position of the current detection point, and facilitate subsequent analysis.

[0046] In some exemplary embodiments, at least displaying AR information in step S104 can be implemented in the following manner:

[0047] Add the AR information to the environmental image and display the environmental image.

[0048] Among them, the detection terminal can add the AR information to the environmental image it captures and display the environmental image with the added AR information on the display interface of the detection terminal, and the AR information therein includes the network performance measurement information of the obtained detection points.

[0049] It should be noted that by displaying the network performance measurement information of the obtained detection points in the form of AR information on the display interface of the detection terminal, the actual environmental image can be combined with virtual information (i.e., network performance measurement information) for display, achieving the ideal effect of what you see is what you get, enabling the tester to analyze the obtained detection points more accurately through the environmental image with added AR information displayed on the display interface of the detection terminal, and improving the detection accuracy of the obtained detection points.

[0050] In some exemplary embodiments, determining the position of the obtained detection point in the environmental image according to the calibrated image of the obtained detection point in step S103 can be implemented in the following manner: Match the calibrated image of the obtained detection point with a preset virtual space model to obtain the virtual detection point corresponding to the obtained detection point in the preset virtual space model; Determine the spatial position of the virtual detection point in the preset virtual space model; Map the spatial position of the virtual detection point in the preset virtual space model to the environmental image to determine the position of the obtained detection point in the environmental image.

[0051] Among them, the preset virtual space model is a model constructed based on the actual road test scene information corresponding to the environmental image.

[0052] Match the calibrated image of the acquired detection point with the preset virtual space model. It can be to match the calibrated image of the acquired detection point with a pre-acquired environmental image in the preset virtual space model. When it is determined that the calibrated image matches the environmental image, it can be determined that the position of the pre-acquired environmental image in the preset virtual space model is the position of the virtual detection point corresponding to the acquired detection point in the preset virtual space model.

[0053] The spatial position of the virtual detection point in the preset virtual space model can be determined based on at least one of the following information: the virtual coordinate information of the virtual detection point in the preset virtual space model, the movement direction information of the current road test terminal relative to the virtual detection point, and the distance information of the virtual detection point relative to the virtual starting point in the preset virtual space model.

[0054] It should be noted that there is a one-to-one correspondence between the virtual detection point and the acquired detection point. Since the spatial position of the virtual detection point in the preset virtual space model can reflect the position information of the acquired detection point in the actual environmental image, therefore, after determining the virtual coordinate information of the virtual detection point in the preset virtual space model, the movement direction information of the current road test terminal relative to the virtual detection point, and the distance information of the virtual detection point relative to the virtual starting point in the preset virtual space model, the above spatial position information can also be mapped to the environmental image, so as to realize the position positioning of the acquired detection point in the environmental image and improve the position matching accuracy between the environmental image and the acquired detection point.

[0055] In some embodiments, the network performance measurement information in the AR information can be in the form of a byte stream and added to the spatial position corresponding to the virtual detection point in the preset virtual space model to make the information in the preset virtual space model more abundant.

[0056] For example, according to the display requirements, set attributes such as the style, size, and color of the text correspondingly to change the display form of the network performance measurement information of the detection point and improve the user experience.

[0057] In some exemplary embodiments, the method further includes: determining the relative movement path information and relative movement direction information between each detection point according to the position of the acquired detection point in the environmental image; generating a detection trajectory according to the relative movement path information and relative movement direction information between each detection point; and adding the detection trajectory to the environmental image.

[0058] Among them, the number of acquired detection points is multiple. For example, the acquired detection points at least include a first detection point and a second detection point. The marker information corresponding to the detection trajectory from the first detection point to the second detection point includes but is not limited to: movement path information, longitude and latitude information, movement direction and other information. For example, the relative movement path information between the first detection point and the second detection point is a path determined based on the position of the first detection point in the environmental image and the position of the second detection point in the environmental image; and, based on the sequence relationship of the acquisition times of the first detection point and the second detection point, the relative movement direction information between the first detection point and the second detection point can be determined as the direction from the first detection point to the second detection point (or, from the second detection point to the first detection point).

[0059] Correspondingly, the relative movement path information and relative movement direction information between multiple detection points are also determined in the above manner, so as to generate a detection trajectory composed of the positions of multiple detection points in the environmental image, the relative movement path information and relative movement direction information between each detection point.

[0060] By adding a detection trajectory to the environmental image, the detection points passed by the detection terminal can be reflected through the detection trajectory, as well as the network performance measurement information and calibration image corresponding to each detection point, so as to obtain the detection conditions of multiple detection points from a global perspective, which is beneficial to the subsequent analysis of the communication quality of the detected area.

[0061] In some exemplary embodiments, after at least displaying the AR information in step S104, the method further includes: storing the calibration image of the acquired detection points and the network performance measurement information of the acquired detection points based on a preset interval duration and / or a preset interval distance; and / or, sending the calibration image of the acquired detection points and the network performance measurement information of the acquired detection points to the server.

[0062] Among them, the preset interval duration is a preset screening duration for the information to be stored. For example, it can be different durations such as 5 minutes, 10 minutes, etc. For example, every 5 minutes, the calibration image of the acquired detection points and the network performance measurement information of the acquired detection points are stored in the database, so as to facilitate the subsequent analysis and processing of the relevant information of the acquired detection points through the database.

[0063] The preset interval distance is the distance that the detection terminal moves between different detection points preset in advance. For example, the preset interval distance is 5 meters, 10 meters, etc. For instance, every 10 meters, a calibration image of a detection point and the network performance measurement information of this detection point are obtained. Then, the calibration image and the network performance measurement information of this detection point are stored in the database. Moreover, in the database, the interval distances of each detection point are marked, which is conducive to reflecting the interval distances between each detection point during subsequent analysis of the data in the database and improving the accuracy of obtaining the position information of each detection point.

[0064] Among them, the server is used to optimize the communication quality of the obtained detection points according to the calibration image and the network performance measurement information. For example, the server will construct a preset virtual space model based on the actual road test scenario information. Then, according to the calibration image of the obtained detection point, the position of the virtual detection point corresponding to the obtained detection point is determined in the preset virtual space model. Further, the network performance measurement information of the obtained detection point is added at the position of the virtual detection point, and the network performance measurement information of the obtained detection point is displayed in the preset virtual space model, which can realize the display and playback of the relevant information of the obtained detection point in the preset virtual space model.

[0065] When the operation and maintenance personnel at the server end view the relevant information of the obtained detection points displayed in the preset virtual space model, they can analyze and determine which detection points may have abnormal communication quality. This can not only speed up the analysis of the communication quality of each detection point, but also accurately optimize the communication quality of each detection point (such as quickly troubleshooting communication faults, etc.) based on the relevant information of the obtained detection points displayed in the preset virtual space model, so as to improve the communication quality corresponding to each detection point.

[0066] In some exemplary embodiments, the obtained detection points include: detection points whose network performance measurement information meets the requirements of the preset network performance index threshold.

[0067] Among them, when the detection terminal obtains the network performance measurement information of multiple detection points, according to the actual usage requirements, based on the preset network performance index threshold (such as the preset RSRP threshold, etc.), multiple detection points are screened to obtain detection points whose network performance measurement information meets the requirements of the preset network performance index threshold (such as detection points with RSRP less than the preset RSRP threshold).

[0068] By screening multiple detection points based on a preset network performance metric threshold, detection points whose network performance measurement information meets the requirements of the preset network performance metric threshold can be obtained, and the positions of these detection points that meet the requirements of the preset network performance metric threshold can be determined in the environmental image. Thus, by adding AR information at the positions of these detection points, the information of these detection points can be made richer, and the communication quality of the detection points that meet the requirements of the preset network performance metric threshold can be analyzed quickly, accurately, and efficiently.

[0069] Figure 2 FIG. 4 shows a schematic flowchart of a communication quality optimization method provided by an embodiment of the present application. The communication quality optimization method is applied to a server connected to a detection terminal. As Figure 2 shown, the communication quality optimization method in the embodiment of the present application includes but is not limited to the following steps.

[0070] Step S201, obtain a calibrated image of the acquired detection points corresponding to the detection terminal, and the network performance measurement information of the acquired detection points.

[0071] Among them, the calibrated image of the acquired detection points represents the image of the environment where the detection terminal is located in real time when the network performance measurement information is detected. For example, it is a scenery image that can be seen within a preset distance (such as 2 meters, or 1 meter, etc.) of the acquired detection points by the detection terminal.

[0072] The network performance measurement information of the acquired detection points is used to represent information such as the strength of the communication signal sent by the network-side device received by the detection terminal at the detection point. For example, the network performance measurement information includes at least one of the following: RSRP, RSRQ, SINR, and data upload rate and data download rate.

[0073] In some embodiments, the server can obtain the bitstream data sent by the detection terminal based on the Application Programming Interface (API) between the server and the detection terminal. Then, the server parses the bitrate data to obtain the calibrated image of the acquired detection points and the network performance measurement information of the acquired detection points.

[0074] In some embodiments, the obtained network performance measurement information of the acquired detection points can be associated and saved with its corresponding calibrated image to facilitate a more rapid comprehensive analysis of the network information of the detection points.

[0075] Step S202, determine the position of the virtual detection point corresponding to the acquired detection point in the preset virtual space model according to the calibrated image of the acquired detection point.

[0076] Among them, the preset virtual space model is a model constructed based on the actual road test scenario information. The actual road test scenario information is used to represent the information of the actual scenario passed by the detection terminal during the detection of communication signals.

[0077] For example, if the detection terminal conducts the detection of communication signals in a certain shopping mall, then the actual road test scenario information is the scenario information in this shopping mall (such as the product display areas of each merchant on each floor in the shopping mall, the elevator area, and the information of the entrance and exit areas, etc.).

[0078] By mapping the actual road test scenario information to the preset virtual space model, the preset virtual space model can comprehensively and clearly display the information of the actual scenario passed by the detection terminal, which is convenient for subsequent analysis of the communication quality of the virtual detection points corresponding to each detection point in the preset virtual space model.

[0079] Step S203, add the network performance measurement information of the obtained detection point at the position of the virtual detection point, and display the network performance measurement information of the obtained detection point in the preset virtual space model.

[0080] Among them, in the preset virtual space model, not only can the position of the virtual detection point be displayed, but also based on the position of the virtual detection point, the network performance measurement information of the obtained detection point corresponding to the virtual detection point can be correspondingly displayed, so that the information displayed in the preset virtual space model is richer. It is convenient for subsequent combined analysis of the positions of each virtual detection point and the network performance measurement information of the obtained detection point corresponding to the virtual detection point, and improves the analysis efficiency of the obtained detection point.

[0081] Step S204, analyze the network performance measurement information of the virtual detection point according to the position of the virtual detection point in the preset virtual space model, and determine the optimization method for the communication quality of the obtained detection point.

[0082] Among them, by combining and analyzing the position of the virtual detection point in the preset virtual space model with the network performance measurement information of the virtual detection point, the communication signal coverage range information corresponding to the obtained detection point can be clarified; based on the communication signal coverage range information corresponding to the obtained detection point, it is possible to understand the strong and weak signal coverage areas in the communication network, as well as whether the communication signals corresponding to which detection points have abnormal attenuation, etc., and then make network adjustments to the areas with weak signal coverage (such as adding new network devices to improve the coverage intensity of the communication signals in this area, etc.).

[0083] In some embodiments, by combining and analyzing the position of the virtual detection point in the preset virtual space model and the network performance measurement information of the virtual detection point, it is possible to determine whether a communication failure has occurred at the actual detection point corresponding to the virtual detection point (for example, the amplitude of the communication signal attenuation increases, or the communication network is interrupted, etc.); when it is determined that a communication failure has occurred at a certain detection point, the server can, through the calibration image of the detection point, clarify whether there is an abnormality in the actual scene corresponding to the detection point (for example, there are obstacles affecting the transmission of the communication signal, etc.), so as to determine the root cause of the communication failure, thereby improving the maintenance and optimization efficiency of the communication network and reducing the troubleshooting time.

[0084] In this embodiment, the server determines the position of the virtual detection point corresponding to the acquired detection point in the preset virtual space model according to the acquired calibration image of the detection point, and can display the acquired detection point in the preset virtual space model, which is convenient for subsequent analysis; adding the network performance measurement information of the acquired detection point to the position of the virtual detection point and displaying the network performance measurement information of the acquired detection point in the preset virtual space model can clearly display the network performance measurement information detected by the detection terminal at the detection point, improving the information acquisition efficiency; analyzing the network performance measurement information of the virtual detection point according to the position of the virtual detection point in the preset virtual space model to determine the optimization method for the communication quality of the acquired detection point, so as to improve the communication quality of the acquired detection point.

[0085] Figure 3 The block diagram showing the composition of a detection terminal provided by an embodiment of the present application is as follows. Figure 3 As shown in the figure, the detection terminal 300 includes but is not limited to the following modules.

[0086] The first acquisition module 301 is configured to acquire the network performance measurement information of the current detection point and collect the calibration image of the current detection point.

[0087] The image acquisition module 302 is configured to acquire environmental images.

[0088] The processing module 303 is configured to determine the position of the acquired detection point in the environmental image according to the acquired calibration image of the detection point and add augmented reality (AR) information to the position of the acquired detection point.

[0089] Wherein, the AR information corresponding to each acquired detection point includes the network performance measurement information of the detection point.

[0090] The display module 304 is configured to at least display the AR information.

[0091] It should be noted that the detection terminal 300 in this embodiment can implement any one of the display methods in the embodiments of the present application.

[0092] According to the detection terminal of the embodiment of the present application, the network performance measurement information of the current detection point is obtained through the first acquisition module, and the calibration image of the current detection point is collected. The position information of the current detection point is accurately determined through the calibration image. The detection terminal also uses the image acquisition module to collect the surrounding environment images in real time, and uses the processing module to determine the position of the obtained detection point in the environment image according to the calibration image of the obtained detection point, and add augmented reality (AR) information at the position of the obtained detection point, and use the display module to display at least the AR information, which can enrich the display information corresponding to the obtained detection point, so that the detection personnel can accurately and intuitively view the corresponding network performance measurement information at the position of the obtained detection point, facilitating the detection personnel to analyze the communication quality of the detection point and improving the detection accuracy of the communication quality of the detection point.

[0093] Figure 4 The block diagram showing the composition of a server provided by the embodiment of the present application is as Figure 4 shown. As shown, the server 400 includes but is not limited to the following modules.

[0094] A second acquisition module 401, configured to acquire the calibration image of the obtained detection point corresponding to the detection terminal, and the network performance measurement information of the obtained detection point.

[0095] A determination module 402, configured to determine the position of the virtual detection point corresponding to the obtained detection point in a preset virtual space model according to the calibration image of the obtained detection point.

[0096] Wherein, the preset virtual space model is a model constructed based on the actual road test scenario information.

[0097] An information display module 403, configured to add the network performance measurement information of the obtained detection point at the position of the virtual detection point, and display the network performance measurement information of the obtained detection point in the preset virtual space model.

[0098] An analysis module 404, configured to analyze the network performance measurement information of the virtual detection point according to the position of the virtual detection point in the preset virtual space model, and determine the optimization method for the communication quality of the obtained detection point.

[0099] It should be noted that the server 400 in this embodiment can implement any communication quality optimization method in the embodiment of the present application.

[0100] According to the server of the embodiment of the present application, the calibration image of the acquired detection points corresponding to the detection terminal is obtained through the second acquisition module, the position information of the acquired detection points is accurately determined, and the corresponding network performance measurement information is determined; the determination module is used to determine the position of the virtual detection points corresponding to the acquired detection points in the preset virtual space model according to the calibration image of the acquired detection points, and the acquired detection points can be displayed in the preset virtual space model, which is convenient for subsequent analysis; the information display module is used to add the network performance measurement information of the acquired detection points at the position of the virtual detection points and display the network performance measurement information of the acquired detection points in the preset virtual space model, and the network performance measurement information detected by the detection terminal at the detection points can be clearly displayed, improving the information acquisition efficiency; the analysis module is used to analyze the network performance measurement information of the virtual detection points according to the positions of the virtual detection points in the preset virtual space model, and determine the optimization method for the communication quality of the acquired detection points, so as to improve the communication quality of the acquired detection points.

[0101] Figure 5 The block diagram showing the composition of a detection system provided by an embodiment of the present application is as follows. Figure 5 As shown, the detection system includes but is not limited to the following devices: a server 501 and a detection terminal 502.

[0102] Among them, the server 501 is used to implement any communication quality optimization method in the embodiment of the present application; the detection terminal 502 is used to implement any display method in the embodiment of the present application.

[0103] For example, when the detection terminal 502 receives a detection instruction, it will measure the network performance of its location, obtain the network performance measurement information of the current detection point, and collect the calibration image of the current detection point, and accurately determine the position information of the current detection point through the calibration image; then, the detection terminal 502 collects the surrounding environment images in real time, determines the position of the acquired detection point in the environment image according to the calibration image of the acquired detection point, and adds augmented reality (AR) information at the position of the acquired detection point and displays at least the AR information, which can enrich the display information corresponding to the acquired detection point, enabling the detection personnel to accurately and intuitively view the corresponding network performance measurement information at the position of the acquired detection point, facilitating the detection personnel to analyze the communication quality of the detection point.

[0104] The server 501 constructs a preset virtual space model based on the actual road test scenario information through 3D modeling. Then, after obtaining the calibration image of the acquired detection points corresponding thereto sent by the detection terminal 502 and the network performance measurement information of the acquired detection points, according to the calibration image of the acquired detection points, the position of the virtual detection points corresponding to the acquired detection points is determined in the preset virtual space model; further, the network performance measurement information of the acquired detection points is added at the position of the virtual detection points, and the network performance measurement information of the acquired detection points is displayed in the preset virtual space model. By playing back the detection trajectories of the acquired detection points (such as, including the relative movement path information and relative movement direction information between each detection point, etc.) in the preset virtual space model, the server 501 can clearly display the detection points passed by the detection terminal 502 during the detection process; the server 501 analyzes the network performance measurement information of the virtual detection points according to the positions of the virtual detection points in the preset virtual space model, and determines the optimization method for the communication quality of the acquired detection points to improve the communication quality of the acquired detection points.

[0105] Figure 6 The flowchart shows the working method of a detection system provided by an embodiment of the present application. As Figure 6 shown, the working method of the detection system includes the following steps.

[0106] Step S601, the detection terminal constructs a preset virtual space model based on the actual road test scenario information.

[0107] Among them, an AR application program is installed in the detection terminal, and the AR application program can create a preset virtual space model based on the actual road test scenario information. The actual road test scenario information is the scenario information collected by the image acquisition module in the detection terminal.

[0108] Due to different operating systems in the detection terminal, the detection terminal can use different operating systems to construct the preset virtual space model. For example, use the software platform ARCore provided by Google to construct the preset virtual space model with the Android system; or, use the Augmented Reality Kit (ARKit) platform with the Input Output System (IOS) to construct the preset virtual space model, use the Mixed Reality Toolkit (MRTK) platform provided by the Windows system to construct the preset virtual space model, and so on.

[0109] Step S602, the detection terminal obtains the network performance measurement information of the current detection point and collects the calibration image of the current detection point.

[0110] In some embodiments, when the detection terminal receives a detection instruction sent by the server, it measures the network performance of the detection point where the detection terminal is currently located to obtain the network performance measurement information of the current detection point. For example, the network performance measurement information includes at least one of the following: RSRP, RSRQ, SINR, and data upload rate and data download rate.

[0111] Step S603, the detection terminal collects environmental images in real time.

[0112] Among them, the image acquisition module in the detection terminal will collect environmental images of the location where the detection terminal is located in real time. When the location of the detection terminal changes, this image acquisition module will collect environmental images of the corresponding location in real time to ensure the real-time update of the environmental images.

[0113] Step S604, the detection terminal matches the calibrated image of the obtained detection point with a preset virtual space model to obtain the virtual detection point corresponding to the obtained detection point in the preset virtual space model, and determines the spatial position of the virtual detection point in the preset virtual space model.

[0114] Among them, the spatial position of the virtual detection point in the preset virtual space model can be determined based on at least one of the following information: the virtual coordinate information of the virtual detection point in the preset virtual space model, the movement direction information of the current road test terminal relative to the virtual detection point, and the distance information of the virtual detection point relative to the virtual starting point in the preset virtual space model.

[0115] For example, in the preset virtual space, the positions of each detection point in the detection trajectory in the environmental image can be matched according to the horizontal ground position in the preset virtual space model to determine the virtual coordinate information of the detection point in the preset virtual space model.

[0116] Step S605, the detection terminal maps the spatial position of the virtual detection point in the preset virtual space model to the environmental image to determine the position of the obtained detection point in the environmental image.

[0117] Step S606, the detection terminal adds AR information to the position of the obtained detection point in the environmental image and displays the AR information.

[0118] Among them, the AR information at least includes the network performance measurement information of the obtained detection point corresponding to the detection terminal.

[0119] The server can screen the network performance measurement information of multiple detection points according to usage requirements to obtain the detection points whose network performance measurement information meets the requirements of the preset network performance index threshold. Among them, the obtained detection points include the detection points whose network performance measurement information meets the requirements of the preset network performance index threshold.

[0120] In some embodiments, the network performance measurement information of the detection points can be displayed in the environmental image in the form of a byte stream. Among them, according to the display requirements, attributes such as the style, size, and color of the text can be correspondingly set to change the display form of the network performance measurement information of the detection points.

[0121] In some embodiments, the detection terminal can also, while displaying the AR information, store the AR information in real time based on a preset storage rule. For example, the detection terminal stores the calibration image of the obtained detection points and the network performance measurement information of the obtained detection points based on a preset interval duration and / or a preset interval distance. Among them, all the AR information of all detected detection points can be stored in full; or the AR information of some detection points can be stored by screening, so as to facilitate the subsequent analysis of the information of each detection point.

[0122] Among them, when storing the AR information of some detection points by screening, according to the requirements of the business scenario, based on screening criteria such as a time interval threshold, a distance interval threshold, a business indicator threshold, and the importance degree of the detection area, the AR information of the obtained detection points can be screened to obtain the AR information of the detection points that meet the requirements.

[0123] For example, based on the time interval threshold, the network performance measurement information of multiple detection points is screened to obtain the maximum value, minimum value, average value, latest value, and most value, etc. of a certain business indicator in the network performance measurement information within a preset duration, so as to meet the usage requirements of the detection terminal. Further, the above information obtained by screening can also be displayed in the environmental image in the form of AR display.

[0124] It should be noted that the network performance measurement information of the detection points can be associated and stored with the calibration image of the detection points. For example, a function constructed by a programming language can be used to convert the network performance measurement information of the detection points into the form of a byte stream or a byte array; and / or, the binary data corresponding to the calibration image of the detection points is encoded and converted to obtain encoded data that is convenient for storage, and then the above byte stream data and the encoded data corresponding to the calibration image are associated and stored, so as to facilitate the subsequent joint analysis of the information of the detection points.

[0125] Further, the time information for collecting the detection points and the spatial position of the detection points in the preset virtual space model can also be stored in the database.

[0126] Step S607, the detection terminal determines the relative motion path information and relative motion direction information between each detection point according to the positions of the obtained detection points in the environmental image; and generates a detection trajectory according to the relative motion path information and relative motion direction information between each detection point.

[0127] Among them, the acquired detection points at least include a first detection point and a second detection point. The relative motion path information between the first detection point and the second detection point is a path determined based on the position of the first detection point in the environmental image and the position of the second detection point in the environmental image. Moreover, based on the chronological relationship of the acquisition times of the first detection point and the second detection point, the relative motion direction information between the first detection point and the second detection point can be determined as moving from the first detection point to the second detection point (or, moving from the second detection point to the first detection point).

[0128] Correspondingly, the relative motion path information and relative motion direction information between multiple detection points are also determined in the above manner, so that a detection trajectory can be generated from the positions of multiple detection points in the environmental image, the relative motion path information and relative motion direction information between each detection point.

[0129] Step S608, the detection terminal adds the detection trajectory to the environmental image and displays the detection trajectory.

[0130] In some embodiments, the above detection trajectory can also be added to a preset virtual space model to facilitate the analysis of the communication quality of each detection point in the preset virtual space model.

[0131] Among them, the detection trajectory can also include information such as the horizontal coordinate information, height coordinate information, forward direction of the virtual detection point corresponding to the detection point in the preset virtual space model, and the distance of the virtual detection point from the initial trajectory point.

[0132] In some embodiments, the detection terminal can also send the calibration image of the acquired detection points and the network performance measurement information of the acquired detection points to the server.

[0133] Among them, the server is used to optimize the communication quality of the acquired detection points based on the calibration image and the network performance measurement information.

[0134] For example, the server acquires the calibration image of the acquired detection points corresponding to the detection terminal and the network performance measurement information of the acquired detection points; determines the position of the virtual detection point corresponding to the acquired detection point in the preset virtual space model according to the calibration image of the acquired detection point; adds the network performance measurement information of the acquired detection point at the position of the virtual detection point and displays the network performance measurement information of the acquired detection point in the preset virtual space model; among them, the preset virtual space model is a model constructed based on the actual road test scenario information; analyzes the network performance measurement information of the virtual detection point according to the position of the virtual detection point in the preset virtual space model to determine the optimization method for the communication quality of the acquired detection points.

[0135] On the server side, the calibration images of the acquired detection points reported by the detection terminal and the network performance measurement information of these detection points can be associated in an associated presentation manner, and this association relationship is mapped into a preset virtual space model, so as to display the network performance measurement information of the acquired detection points and the positions of the virtual detection points corresponding to the acquired detection points in the preset virtual space model.

[0136] Among them, the information of all detection points can be displayed in a full-display manner, or multiple detection points can be screened based on a preset time interval, and only the information of the detection points that meet the preset time interval is displayed.

[0137] In some embodiments, the server can also screen multiple detection points according to the detection index information concerned by the detection personnel (such as the index information reflecting the communication network disconnection fault, etc.), and only display the information of the detection points that meet the preset detection index threshold.

[0138] In this embodiment, during the on-site detection stage by the detection terminal, based on the received detection instruction, the network performance of the location where the detection terminal is located is measured to obtain the network performance measurement information of the current detection point, and the calibration image of the current detection point is collected. The position information of the current detection point is accurately determined through this calibration image; and the surrounding environment images are collected in real time. According to the calibration image of the acquired detection point, the position of the acquired detection point is determined in the environment image, and AR information is added at the position of the acquired detection point, and at least the AR information is displayed using the display module, which can enrich the display information corresponding to the acquired detection point, enabling the detection personnel to accurately and intuitively view the corresponding network performance measurement information at the position of the acquired detection point, facilitating the detection personnel to analyze the communication quality of the detection point; in the data analysis stage, the server can determine the position of the virtual detection point corresponding to the acquired detection point in the preset virtual space model, and add the detection trajectory including the positions of multiple detection points to the preset virtual space model. When the detection personnel select the virtual detection point corresponding to a certain detection point through the preset virtual space model, they can be linked to the calibration image of the position corresponding to the detection point, and then, based on this calibration image and the network performance measurement information of this detection point, a joint analysis is performed to determine whether there is a communication fault at this detection point (such as whether there are tall obstacles around the detection point affecting the sending and receiving of communication signals, or whether there are other signal interference source devices to reduce the sending and receiving efficiency of communication signals, etc.), so as to accurately detect and analyze the communication quality of the detection point.

[0139] It should be clear that the present invention is not limited to the specific configurations and processes described in the above embodiments and shown in the figures. For the convenience and brevity of description, the detailed descriptions of known methods are omitted here, and the specific working processes of the systems, modules, and units described above can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated herein.

[0140] Figure 7 The block diagram showing the composition of an electronic device provided by an embodiment of the present application.

[0141] As Figure 7 shown, the electronic device includes: at least one processor 701, at least one memory 702, and one or more I / O interfaces 703. Among them, the processor 701, the memory 702, and the I / O interface 703 are interconnected through a bus 704. The memory 702 stores one or more computer programs, and the one or more computer programs are executed by at least one processor 701 so that the at least one processor 701 can implement any one of the display methods or communication quality optimization methods described in the above embodiments.

[0142] Each module in the above electronic device can be implemented in whole or in part by software, hardware, and their combination. The above modules can be embedded in the processor in the computer device in hardware form or independent of it, or stored in the memory in the computer device in software form, so that the processor can call and execute the operations corresponding to the above modules.

[0143] The embodiment of the present application also provides a computer-readable storage medium, on which a computer program is stored. Among them, the computer program, when executed by a processor, implements any one of the display methods or communication quality optimization methods described in the above embodiments. The computer-readable storage medium can be a volatile or non-volatile computer-readable storage medium.

[0144] The embodiment of the present application also provides a computer program product, including computer-readable code, or a non-volatile computer-readable storage medium carrying the computer-readable code. When the computer-readable code runs in the processor of the electronic device, the processor in the electronic device executes the above display method or communication quality optimization method.

[0145] Those of ordinary skill in the art will understand that all or some of the steps in the methods disclosed above, and the functional modules / units in systems and devices, can be implemented as software, firmware, hardware, and their appropriate combinations. In the hardware implementation, the division of functional modules / units mentioned above does not necessarily correspond to the division of physical components; for example, one physical component can have multiple functions, or one function or step can be executed by several physical components in cooperation. Some or all physical components can be implemented as software executed by a processor, such as a central processing unit, a digital signal processor, or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software can be distributed on a computer-readable storage medium, which can include a computer storage medium (or non-transitory medium) and a communication medium (or transitory medium).

[0146] As is well known to those of ordinary skill in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information, such as computer-readable program instructions, data structures, program modules, or other data. Computer storage media includes but is not limited to random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), static random access memory (SRAM), flash memory or other memory technologies, portable compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, it is well known to those of ordinary skill in the art that a communication medium typically contains computer-readable program instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transmission mechanism, and can include any information delivery medium.

[0147] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to various computing / processing devices, or downloaded to an external computer or external storage device through a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, fiber optic transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0148] The computer program instructions for performing the operations of the present application may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine - related instructions, microcode, firmware instructions, state - setting data, or source code or object code written in any combination of one or more programming languages, including object - oriented programming languages such as Smalltalk, C++, etc., and conventional procedural programming languages such as the "C" language or similar programming languages. The computer - readable program instructions may be executed entirely on the user's computer, partially on the user's computer, executed as a stand - alone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider). In some embodiments, by using the state information of the computer - readable program instructions to customize an electronic circuit, such as a programmable logic circuit, a field - programmable gate array (FPGA), or a programmable logic array (PLA), the electronic circuit can execute the computer - readable program instructions to implement various aspects of the present application.

[0149] The computer program product described herein may be implemented specifically in the form of hardware, software, or a combination thereof. In an alternative embodiment, the computer program product is specifically embodied as a computer storage medium. In another alternative embodiment, the computer program product is specifically embodied as a software product, such as a Software Development Kit (SDK), etc.

[0150] Aspects of the present application are described herein with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to embodiments of the present application. It should be understood that each block of the flowcharts and / or block diagrams, and the combinations of blocks in the flowcharts and / or block diagrams, can be implemented by computer - readable program instructions.

[0151] These computer-readable program instructions may be provided to a processor of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus to produce a machine such that the instructions, when executed by the processor of the computer or other programmable data processing apparatus, create means for implementing the functions / acts specified in one or more boxes of the flowchart and / or block diagram. These computer-readable program instructions may also be stored in a computer-readable storage medium that causes a computer, a programmable data processing apparatus, and / or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises a manufacture including instructions that implement various aspects of the functions / acts specified in one or more boxes of the flowchart and / or block diagram.

[0152] The computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device, such that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to implement the functions / acts specified in one or more boxes of the flowchart and / or block diagram.

[0153] The flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of the present application. In this regard, each box in the flowchart or block diagram may represent a module, a segment of code, or a portion of an instruction, and the module, segment of code, or portion of an instruction may include one or more executable instructions for implementing the specified logical function. In some alternative implementations, the functions noted in the boxes may occur out of the order noted in the figures. For example, two consecutive boxes may, in fact, be executed substantially in parallel, or they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each box in the block diagrams and / or flowcharts, and combinations of boxes in the block diagrams and / or flowcharts, may be implemented by a dedicated hardware-based system for performing the specified functions or acts, or by a combination of dedicated hardware and computer instructions.

[0154] Example embodiments have been disclosed herein, and although specific terms are employed, they are used in a general descriptive sense only and are not for purposes of limitation. In some instances, it will be apparent to those skilled in the art that, unless otherwise expressly stated, the features, characteristics, and / or elements described in connection with a particular embodiment may be used singly or in combination with other embodiments. Accordingly, it will be understood by those skilled in the art that various forms and details may be changed without departing from the scope of the present application as set forth by the appended claims.

Claims

1. A display method, wherein, applied to a detection terminal, the method includes: Obtain the network performance measurement information of the current detection point, and collect the calibration image of the current detection point; Collect the environmental image; According to the obtained calibration image of the detection point, determine the position of the obtained detection point in the environmental image, and add augmented reality (AR) information at the position of the obtained detection point; wherein, the AR information corresponding to each obtained detection point includes the network performance measurement information of this detection point; Display at least the AR information.

2. The method according to claim 1, wherein, the displaying at least the AR information includes: Add the AR information to the environmental image, and display the environmental image.

3. The method according to claim 1, wherein, the determining the position of the obtained detection point in the environmental image according to the obtained calibration image of the detection point includes: Match the obtained calibration image of the detection point with a preset virtual space model to obtain the virtual detection point corresponding to the obtained detection point in the preset virtual space model, wherein the preset virtual space model is a model constructed based on the actual road test scenario information corresponding to the environmental image; Determine the spatial position of the virtual detection point in the preset virtual space model; Map the spatial position of the virtual detection point in the preset virtual space model to the environmental image to determine the position of the obtained detection point in the environmental image.

4. The method according to claim 1, wherein, the number of the obtained detection points is multiple, and the method further includes: Determine the relative movement path information and relative movement direction information between each detection point according to the positions of the obtained detection points in the environmental image; Generate a detection trajectory according to the relative movement path information and relative movement direction information between each detection point; Add the detection trajectory to the environmental image.

5. The method according to claim 1, wherein, after the displaying at least the AR information, the method further includes: Based on a preset interval duration and / or a preset interval distance, store the calibration image of the obtained detection point and the network performance measurement information of the obtained detection point; and / or, Send the calibration image of the obtained detection point and the network performance measurement information of the obtained detection point to a server, and the server is used to optimize the communication quality of the obtained detection point according to the calibration image and the network performance measurement information.

6. The method according to any one of claims 1 to 5, wherein, the obtained detection points include: the detection points whose network performance measurement information meets the requirements of a preset network performance index threshold.

7. The method according to any one of claims 1 to 5, wherein, before the obtaining the network performance measurement information of the current detection point, the method further includes: In response to a start instruction, move to the current detection point according to preset point position planning information; after the collecting the calibration image of the current detection point, the method further includes: Match the calibration image of the current detection point with the position information of the current detection point in the preset point position planning information to obtain a matching result; Update the position of the current detection point according to the matching result.

8. A communication quality optimization method, wherein, Applied to a server connected to a detection terminal, including: Obtain the calibration image of the acquired detection point corresponding to the detection terminal, and the network performance measurement information of the acquired detection point; Determine the position of the virtual detection point corresponding to the acquired detection point in a preset virtual space model according to the calibration image of the acquired detection point; wherein, the preset virtual space model is a model constructed based on actual road test scenario information; Add the network performance measurement information of the acquired detection point at the position of the virtual detection point, and display the network performance measurement information of the acquired detection point in the preset virtual space model; Analyze the network performance measurement information of the virtual detection point according to the position of the virtual detection point in the preset virtual space model, and determine the optimization method for the communication quality of the acquired detection point.

9. An electronic device, wherein, including: One or more processors; A memory, on which one or more programs are stored, and when the one or more programs are executed by the one or more processors, the one or more processors implement the display method according to any one of claims 1 to 7, or, the communication quality optimization method according to claim 8.

10. A readable storage medium, wherein, The readable storage medium stores a computer program, and when the computer program is executed by a processor, it implements the display method according to any one of claims 1 to 7, or, the communication quality optimization method according to claim 8.

Images