CN113381900B - Visualization method and device for drive test data - Google Patents
Visualization method and device for drive test data Download PDFInfo
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- CN113381900B CN113381900B CN202010161908.6A CN202010161908A CN113381900B CN 113381900 B CN113381900 B CN 113381900B CN 202010161908 A CN202010161908 A CN 202010161908A CN 113381900 B CN113381900 B CN 113381900B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
- H04L43/045—Processing captured monitoring data, e.g. for logfile generation for graphical visualisation of monitoring data
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- H—ELECTRICITY
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Abstract
The embodiment of the invention provides a visualization method and a device of drive test data, wherein the method comprises the following steps: generating a reference dot matrix of the test line, wherein the reference dot matrix comprises a plurality of discrete points for representing geographic position information, and the number of the discrete points is related to a preset first display precision; acquiring drive test data of a plurality of acquisition points to be displayed, and displaying the drive test data of the acquisition points on a discrete point closest to the acquisition points for each acquisition point; wherein the number of acquisition points is related to an acquisition precision, the first display precision being lower than the acquisition precision. According to the embodiment of the invention, the data magnitude of the drive test data in visualization is reduced, and the speed is higher when rendering presentation is carried out.
Description
Technical Field
The present invention relates to the field of wireless communication technologies, and in particular, to a method and an apparatus for visualizing drive test data.
Background
Linear road test data, namely, drive test data, is used as an important data source for wireless network optimization and performance analysis, how to accurately and efficiently present the drive test data and directly influence the subsequent network performance assessment and optimization work efficiency.
The existing drive test data is often reported in a collection point mode, the collection point data contains GPS information and measurement information and can be directly presented, and the common presentation mode is a point presentation mode based on full sample data, but the following problems exist:
the first problem is that: limited by data magnitude and low rendering efficiency
Although all sample data can be presented in full, the presentation efficiency on long lines such as high-speed railways and highways is low due to the data magnitude, and the overall presentation cannot be performed quickly.
The second problem is that: the granularity of data position information is small, and the comparative analysis among different data can not be carried out
The latitude and longitude information of the acquisition point is directly used for displaying the anchor point, and the method is limited by the undersize of the latitude and longitude data, and the tested latitude and longitude of different periods and different routes have small coincidence, so that the comparison analysis and the display cannot be carried out.
Disclosure of Invention
Embodiments of the present invention provide a method and an apparatus for visualizing drive test data, which overcome the above problems or at least partially solve the above problems.
In a first aspect, an embodiment of the present invention provides a method for visualizing drive test data, including:
generating a reference dot matrix of the test line, wherein the reference dot matrix comprises a plurality of discrete points for representing geographic position information, and the number of the discrete points is related to a preset first display precision;
acquiring drive test data of a plurality of acquisition points to be displayed, and displaying the drive test data of the acquisition points on a discrete point closest to the acquisition points for each acquisition point;
wherein the number of acquisition points is related to an acquisition precision, and the first display precision is lower than the acquisition precision.
Further, the displaying the drive test data of the acquisition point on the discrete point closest to the acquisition point further comprises:
generating an index number of the discrete point according to the geographical position information of the discrete point;
correspondingly, the drive test data of the plurality of acquisition points is gathered to the reference dot matrix for display, specifically:
for any acquisition point, determining a discrete point closest to the acquisition point as a target discrete point according to the index numbers of all the discrete points and the geographical position information of the acquisition point;
and displaying the drive test data of the acquisition points on the target discrete points, and pointing the drive test data of the acquisition points to the index numbers of the target discrete points.
Further, the generating of the reference lattice of the test line specifically includes:
acquiring vector information of a test line, wherein the vector information comprises a plurality of discrete points for representing geographical position information, and the number of the discrete points is related to a preset second display precision;
adjusting the display precision of the vector information to the first display precision to obtain the reference dot matrix;
the first display accuracy and the second display accuracy are different.
Further, the determining, according to the index numbers of all the discrete points and the geographic location information of the acquisition points, the discrete point closest to the acquisition point specifically includes:
the following iterative process is performed from any one of the discrete points:
acquiring the geographical position information of the discrete point of the current iteration according to the index number of the discrete point of the current iteration;
calculating the distance between the geographical position information of the acquisition point and the geographical position information of the discrete point of the current iteration as the current distance;
if the current distance is smaller than the distance threshold of the current iteration, taking the current distance as the distance threshold of the next iteration, updating the target discrete point into the discrete point of the current iteration, and selecting the discrete point which does not execute the iteration process for the next iteration;
if the current distance is larger than the distance threshold value of the current iteration, selecting discrete points which do not execute the iteration process to carry out the next iteration;
and when the iteration process is executed on all the discrete points, ending the iteration process.
Further, the geographic position information is longitude and latitude information;
correspondingly, according to the geographical location information of the discrete point, an index number of the discrete point is generated, which specifically comprises:
multiplying the longitude and latitude information of the discrete points by 10 respectively x Taking out the whole of the mixture,connecting the two results after value taking as the index numbers of the discrete points;
wherein x is the number of digits after the decimal point in the latitude and longitude information.
Further, the first display accuracy is meter-level.
Further, the method for pointing the drive test data of the acquisition point to the index number of the target discrete point further includes:
correlation analysis is carried out on a plurality of drive test data aggregated by discrete points with the same index number
In a second aspect, an embodiment of the present invention provides a device for visualizing drive test data, including:
the device comprises a dot matrix generating module, a first display module and a second display module, wherein the dot matrix generating module is used for generating a reference dot matrix of a test line, the reference dot matrix comprises a plurality of discrete points used for representing geographic position information, and the number of the discrete points is related to a preset first display precision;
the display module is used for acquiring the drive test data of a plurality of acquisition points to be displayed and displaying the drive test data of the acquisition points on the discrete point closest to the acquisition points for each acquisition point;
wherein the number of acquisition points is related to an acquisition precision, and the first display precision is lower than the acquisition precision. .
In a third aspect, an embodiment of the present invention provides an electronic device, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the method provided in the first aspect when executing the program.
In a fourth aspect, an embodiment of the present invention provides a non-transitory computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the method as provided in the first aspect.
The visualization device for the drive test data displays the drive test data of the acquisition points on the discrete points in the reference dot matrix, and actually converges the drive test data with higher display precision to the reference dot matrix with lower display precision, so that one or more drive test data can be converged to one discrete point, the data magnitude of the drive test data during visualization is reduced, and the speed is higher and more important when rendering and presenting are performed.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and those skilled in the art can also obtain other drawings according to the drawings without creative efforts.
Fig. 1 is a schematic flowchart of a method for visualizing drive test data according to an embodiment of the present invention;
fig. 2 is a schematic flow chart illustrating a process of converging drive test data of an acquisition point to the reference dot matrix for display according to the embodiment of the present invention;
fig. 3 is a schematic structural diagram of a visualization apparatus for drive test data according to an embodiment of the present invention;
fig. 4 is a schematic physical structure diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
In order to overcome the problems in the prior art, the embodiment of the invention extracts the dot matrix of the test line to generate the reference dot matrix, and then gathers and displays the road test data by the reference dot matrix, and because the display precision of the reference dot matrix is lower than the acquisition precision of the acquisition points, the data magnitude can be greatly reduced after the dot matrix is gathered, and the embodiment of the invention can intuitively and efficiently present the road test data.
Fig. 1 is a schematic flow diagram of a method for visualizing drive test data according to an embodiment of the present invention, as shown in fig. 1, the method includes S101 and S102, specifically:
s101, generating a reference dot matrix of the test line, wherein the reference dot matrix comprises a plurality of discrete points used for representing geographic position information, and the number of the discrete points is related to a preset first display precision.
The test line is a continuous line when being visually displayed, and in practical application, the test line can be a section of straight line, a section of curve or an annular curve. The embodiment of the invention converts the test line into the reference dot matrix consisting of discrete points, thereby reducing the data magnitude of the display information of the test line. For example, for a test line originally in a square shape, the discrete points in the corresponding reference dot matrix may be four vertices plus a point between two adjacent vertices, and if the display accuracy is improved, this means that more discrete points are added to the two adjacent vertices, that is, the higher the display accuracy is, this means that more discrete points are in the reference dot matrix.
S102, acquiring drive test data of a plurality of acquisition points to be displayed, and displaying the drive test data of the acquisition points on a discrete point closest to the acquisition points for each acquisition point, wherein the number of the acquisition points is related to acquisition precision, and the first display precision is lower than the acquisition precision.
It can be understood that the existing drive test data is statistically reported and displayed by taking an acquisition point as a unit, each acquisition point contains complete time, longitude and latitude, signal measurement information and the like, and can be regarded as a dot matrix set.
On the basis of the foregoing embodiments, as an optional embodiment, the displaying the drive test data of the acquisition point at the discrete point closest to the acquisition point further includes:
and generating the index number of the discrete point according to the geographical position information of the discrete point.
After the reference dot matrix is generated, index numbers of the reference dot matrix are required to be convenient for subsequent comparison statistical analysis, and due to the uniqueness of the index numbers, after the drive test data of different dates and different types are gathered, data comparison analysis can be performed according to the index numbers, so that various multi-data-source association analysis works can be conveniently carried out. Specifically, the drive test data with different dates and different types can be gathered to the reference dot matrix according to the geographical position information to be displayed, that is, each discrete point in the reference dot matrix can display the drive test data with various dates and types, and the drive test data in the same geographical position range (one discrete point can gather the drive test data in a certain geographical range) can be obtained through searching the index number, so that the comparison and analysis can be more conveniently carried out.
On the basis of the foregoing embodiments, as an optional embodiment, the displaying the drive test data of the acquisition point at the discrete point closest to the acquisition point specifically includes:
for any acquisition point, determining a discrete point closest to the acquisition point as a target discrete point according to the index numbers of all the discrete points and the geographical position information of the acquisition point;
and displaying the drive test data of the acquisition point on the target discrete point, and pointing the drive test data of the acquisition point to the index number of the target discrete point.
According to the method and the device, the geographic position of the discrete point is obtained according to the index number of the discrete point, then the distance between the acquisition point and the discrete point is calculated according to the geographic positions of the acquisition point and the discrete point, the discrete point closest to the acquisition point is used as a target discrete point, the drive test data of the acquisition point is displayed at the target discrete point, and the drive test data of the acquisition point points to the index number of the target discrete point, so that all the drive test data displayed at the target discrete point can be retrieved according to the index number of the target discrete point.
On the basis of the foregoing embodiments, as an optional embodiment, the generating a reference lattice of the test line specifically includes:
acquiring vector information of a test line, wherein the vector information comprises a plurality of discrete points for representing geographical position information, and the number of the discrete points is related to a preset second display precision;
and adjusting the display precision of the vector information to the first display precision to obtain the reference dot matrix. The first display accuracy and the second display accuracy are different.
The vector information of the route (road) is easily obtained, most commonly by network map vector extraction or direct use of road vector files, and the vector information is composed of a large number of discrete points, and the number of points is determined by preset precision. The obtained vector data is called as original vector data, and is divided into two types of node thinning and node thickening according to the data quantity before and after processing in the process of generating the reference dot matrix. When the number of discrete points for generating the reference dot matrix is less than that of the discrete points in the original vector data, node thinning is required; and when the number of the discrete points for generating the reference dot matrix is larger than that of the discrete points of the original vector data, node densification is required.
As an alternative embodiment, in order to reduce the complexity of the algorithm, the equal-interval point scattering or sampling processing is adopted no matter the nodes are sparse or dense.
On the basis of the foregoing embodiments, as an optional embodiment, the determining, according to the index numbers of all the discrete points and the geographic location information of the acquisition points, the discrete point closest to the acquisition point specifically includes:
the following iterative process is performed from any one discrete point:
acquiring the geographical position information of the discrete point of the current iteration according to the index number of the discrete point of the current iteration;
calculating the distance between the geographical position information of the acquisition point and the geographical position information of the discrete point of the current iteration as the current distance;
if the current distance is smaller than the distance threshold of the current iteration, taking the current distance as the distance threshold of the next iteration, updating the target discrete point to the discrete point of the current iteration, and selecting the discrete point which has not executed the iteration process for the next iteration;
if the current distance is larger than the distance threshold value of the current iteration, selecting discrete points which do not execute the iteration process to carry out the next iteration;
and when the iteration process is executed on all the discrete points, ending the iteration process.
It can be understood that the distance threshold value of the first iteration of the embodiment of the present invention is a preset value.
Fig. 2 is a schematic flow chart of aggregating drive test data of an acquisition point into the reference dot matrix for display in the embodiment of the present invention, and as shown in fig. 2, the process includes:
s201, acquiring the geographical position information of the discrete point of the current iteration according to the index number of the discrete point of the current iteration;
s202, calculating the distance between the geographical position information of the acquisition point and the geographical position information of the discrete point of the current iteration as a current distance;
s203, judging whether the current distance is smaller than the distance threshold of the current iteration, if so, executing S204; if not, executing S206;
s204, taking the current distance as a distance threshold value of the next iteration, and updating the target discrete point of the acquisition point into the discrete point of the current iteration;
s205, displaying the drive test data of the acquisition point on the target discrete point, and pointing the drive test data of the acquisition point to an index number of the target discrete point;
s206, judging whether discrete points which do not execute the iteration process exist, if so, executing S207, and if not, stopping the iteration;
s207, selecting one discrete point from the discrete points which have not executed the iteration process, taking the selected discrete point as the discrete point of the next iteration, and executing S201.
The geographic position information is longitude and latitude information;
correspondingly, according to the geographical location information of the discrete point, an index number of the discrete point is generated, which specifically includes:
multiplying the longitude and latitude information of the discrete points by 10 respectively x Rounding, connecting the two results after value taking, and using the two results as index numbers of the discrete points;
wherein x is the number of digits after the decimal point in the latitude and longitude information.
For example, since the number of digits after the decimal point in the latitude and longitude information to be actually used is usually 5 digits, the latitude and longitude information is multiplied by 10, respectively 5 And (3) rounding, and connecting the two rounded values to obtain an index number, wherein the number of a point with the longitude and latitude (115.32567, 29.76135) is 115325672976135, so that the longitude and latitude position corresponding to the index number is accurate to a meter level, and the spacing of the extracted dot matrix is usually more than 50 meters, so that the uniqueness of the index can be ensured after the circuit dot matrix is numbered.
As an alternative embodiment, the first display accuracy is in the meter level.
The second display accuracy is the display accuracy of the discrete points in the vector information, and since the vector information is obtained from the existing network map vector or road vector file, and the display accuracy in the network map vector or road vector file is uncertain and has no unified standard, the embodiment of the present invention does not limit the specific value of the second display accuracy.
As an optional embodiment, the pointing the drive test data of the acquisition point to the index number of the target discrete point further includes: and carrying out correlation analysis on a plurality of drive test data aggregated by discrete points with the same index number. The association analysis is also called association mining, namely, frequent patterns, associations, correlations or causal structures existing among item sets or object sets are searched in transaction data, relationship data or other information carriers. In the embodiment of the present invention, the correlation analysis may be to query correlation, causal relationship, development trend, and the like of different drive test data.
Fig. 3 is a schematic structural diagram of a drive test data visualization apparatus according to an embodiment of the present invention, and as shown in fig. 3, the apparatus includes:
the dot matrix generating module 201 is configured to generate a reference dot matrix of the test line, where the reference dot matrix includes a plurality of discrete points used for representing geographic position information, and the number of the discrete points is related to a preset first display precision;
the display module 202 is configured to acquire the drive test data of a plurality of acquisition points to be displayed, and for each acquisition point, display the drive test data of the acquisition point at a discrete point closest to the acquisition point;
wherein the number of acquisition points is related to an acquisition precision, and the first display precision is lower than the acquisition precision.
The drive test data visualization apparatus provided in the embodiment of the present invention specifically executes the flow of the above drive test data visualization method embodiment, and please refer to the content of the above drive test data visualization method embodiment for details, which is not described herein again. The drive test data visualization device provided by the embodiment of the invention displays the drive test data of the acquisition points on the discrete points in the reference dot matrix, and actually converges the drive test data with higher display precision originally into the reference dot matrix with lower display precision, so that one or more drive test data can be converged into one discrete point, the data magnitude of the drive test data during visualization is reduced, the rendering speed is higher, and more important, the drive test data visualization device can obtain the reference dot matrices with different precisions by adjusting the first display precision, ensure the flexible transformation of the dot matrices, and further provide a basis for subsequent visualization display of the drive test data with different display precisions.
Fig. 4 is a schematic entity structure diagram of an electronic device according to an embodiment of the present invention, and as shown in fig. 4, the electronic device may include: a processor (processor) 410, a communication Interface 420, a memory (memory) 430 and a communication bus 440, wherein the processor 410, the communication Interface 420 and the memory 430 are communicated with each other via the communication bus 440. The processor 410 may invoke a computer program stored on the memory 430 and executable on the processor 410 to perform the method for visualizing the drive test data provided by the above embodiments, including, for example: generating a reference dot matrix of the test line, wherein the reference dot matrix comprises a plurality of discrete points for representing geographic position information, and the number of the discrete points is related to a preset first display precision; the method comprises the steps of obtaining drive test data of a plurality of collection points to be displayed, and displaying the drive test data of the collection points on a discrete point closest to the collection points for each collection point, wherein the number of the collection points is related to collection precision, and the first display precision is lower than the collection precision.
In addition, the logic instructions in the memory 430 may be implemented in the form of software functional units and stored in a computer readable storage medium when the software functional units are sold or used as independent products. Based on such understanding, the technical solutions of the embodiments of the present invention may be essentially implemented or make a contribution to the prior art, or may be implemented in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the methods described in the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk, and various media capable of storing program codes.
An embodiment of the present invention further provides a non-transitory computer-readable storage medium, on which a computer program is stored, where the computer program is implemented by a processor to perform the method for visualizing the drive test data provided in the foregoing embodiments, for example, the method includes: generating a reference dot matrix of the test line, wherein the reference dot matrix comprises a plurality of discrete points for representing geographic position information, and the number of the discrete points is related to a preset first display precision; the method comprises the steps of obtaining drive test data of a plurality of collection points to be displayed, and displaying the drive test data of the collection points on a discrete point closest to the collection points for each collection point, wherein the number of the collection points is related to collection precision, and the first display precision is lower than the collection precision.
The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (9)
1. A method for visualizing drive test data, comprising:
generating a reference dot matrix of the test line, wherein the reference dot matrix comprises a plurality of discrete points for representing geographic position information, and the number of the discrete points is related to a preset first display precision;
acquiring drive test data of a plurality of acquisition points to be displayed, and displaying the drive test data of the acquisition points on a discrete point closest to the acquisition points for each acquisition point;
wherein the number of acquisition points is related to an acquisition accuracy, and the first display accuracy is lower than the acquisition accuracy;
the method for displaying the drive test data of the acquisition point on the discrete point closest to the acquisition point further comprises the following steps:
generating an index number of the discrete point according to the geographical position information of the discrete point;
correspondingly, the displaying the drive test data of the acquisition point on the discrete point closest to the acquisition point specifically includes:
for any acquisition point, determining a discrete point closest to the acquisition point as a target discrete point according to the index numbers of all the discrete points and the geographical position information of the acquisition point;
and displaying the drive test data of the acquisition points on the target discrete points, and pointing the drive test data of the acquisition points to the index numbers of the target discrete points.
2. The method for visualizing the drive test data according to claim 1, wherein the generating of the reference lattice of the test line specifically comprises:
acquiring vector information of a test line, wherein the vector information comprises a plurality of discrete points for representing geographical position information, and the number of the discrete points is related to a preset second display precision;
adjusting the display precision of the vector information to the first display precision to obtain the reference dot matrix;
the first display precision and the second display precision are different.
3. The method for visualizing the drive test data according to claim 1, wherein the determining, according to the index numbers of all the discrete points and the geographical location information of the acquisition points, the discrete point closest to the acquisition point is specifically:
the following iterative process is performed from any one discrete point:
acquiring the geographical position information of the discrete point of the current iteration according to the index number of the discrete point of the current iteration;
calculating the distance between the geographical position information of the acquisition point and the geographical position information of the discrete point of the current iteration as the current distance;
if the current distance is smaller than the distance threshold of the current iteration, taking the current distance as the distance threshold of the next iteration, updating the target discrete point into the discrete point of the current iteration, and selecting the discrete point which does not execute the iteration process for the next iteration;
if the current distance is larger than the distance threshold value of the current iteration, selecting discrete points which do not execute the iteration process to carry out the next iteration;
and when the iteration process is executed on all the discrete points, ending the iteration process.
4. The method for visualizing the drive test data according to claim 1, wherein the geographic location information is latitude and longitude information;
correspondingly, according to the geographical location information of the discrete point, an index number of the discrete point is generated, which specifically comprises:
multiplying the longitude and latitude information of the discrete point by 10 respectively x Rounding, connecting the two results after value taking, and using the two results as index numbers of the discrete points;
wherein x is the number of digits after the decimal point in the latitude and longitude information.
5. The method for visualizing the drive test data according to claim 1, wherein the first display accuracy is meter-level.
6. The method for visualizing the drive test data according to claim 1, wherein the step of pointing the drive test data of the acquisition point to the index number of the target discrete point further comprises:
and carrying out correlation analysis on a plurality of drive test data aggregated by discrete points with the same index number.
7. An apparatus for visualizing drive test data, comprising:
the device comprises a dot matrix generation module, a first display module and a second display module, wherein the dot matrix generation module is used for generating a reference dot matrix of a test line, the reference dot matrix comprises a plurality of discrete points used for representing geographic position information, and the number of the discrete points is related to a preset first display precision;
the display module is used for acquiring the drive test data of a plurality of acquisition points to be displayed and displaying the drive test data of the acquisition points on the discrete point closest to the acquisition points for each acquisition point;
the display module is further used for generating an index number of the discrete point according to the geographical position information of the discrete point;
the display module is specifically used for determining a discrete point closest to the acquisition point as a target discrete point for any acquisition point according to the index numbers of all the discrete points and the geographical position information of the acquisition point; displaying the drive test data of the acquisition points on the target discrete points, and pointing the drive test data of the acquisition points to index numbers of the target discrete points;
wherein the number of acquisition points is related to an acquisition precision, and the first display precision is lower than the acquisition precision.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the method for visualizing drive test data according to any of claims 1 to 6 when executing the program.
9. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method for visualizing the drive test data according to any one of claims 1 to 6.
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