CN113140109B - Drive test data processing method and device, computer equipment and storage medium - Google Patents
Drive test data processing method and device, computer equipment and storage medium Download PDFInfo
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Abstract
The embodiment of the invention discloses a drive test data processing method, a drive test data processing device, computer equipment and a storage medium, wherein the method comprises the following steps: acquiring original drive test data; screening the original drive test data according to the optimized index data to obtain drive test data to be processed; and clustering the drive test data to be processed according to a region clustering algorithm to obtain a drive test region to be optimized. The technical scheme of the embodiment of the invention can reduce the labor cost for processing the drive test data and improve the processing efficiency and accuracy of the drive test area to be optimized.
Description
Technical Field
The embodiment of the invention relates to the technical field of data processing, in particular to a method and a device for processing drive test data, computer equipment and a storage medium.
Background
The road test is a method for testing the performance of equipment by taking a road as a unit, and can be widely applied to the field of outdoor tests, such as testing a wireless network of a certain road section, testing the driving data of an automatic driving vehicle of a certain road section and the like.
The drive test can verify the service performance of data generated by the equipment in certain road section environments according to different service requirements, provide related collected data, and the data serving as the drive test data can support reasonable resource planning and optimal resource configuration of the equipment to be tested. It can be understood that after the drive test data is collected, the drive test data often needs to be processed according to the optimization requirement at the later stage.
In the prior art, a manual processing method is mostly adopted for processing the drive test data, for example, the drive test data is manually screened and analyzed to determine the drive test data with problems. Because the drive test data volume is great, there often have the cost of labor height, data processing efficiency low and the lower scheduling problem of processing result rate of accuracy through manual handling drive test data.
Disclosure of Invention
The embodiment of the invention provides a drive test data processing method and device, computer equipment and a storage medium, which are used for reducing the labor cost of drive test data processing and improving the processing efficiency and accuracy of a drive test area to be optimized.
In a first aspect, an embodiment of the present invention provides a method for processing drive test data, including:
acquiring original drive test data;
screening the original drive test data according to the optimized index data to obtain drive test data to be processed;
and clustering the drive test data to be processed according to a region clustering algorithm to obtain a drive test region to be optimized.
In a second aspect, an embodiment of the present invention further provides a drive test data processing apparatus, including:
the original drive test data acquisition module is used for acquiring original drive test data;
the to-be-processed drive test data acquisition module is used for screening the original drive test data according to the optimized index data to obtain the to-be-processed drive test data;
and the to-be-optimized drive test area acquisition module is used for clustering the to-be-processed drive test data according to an area clustering algorithm to obtain the to-be-optimized drive test area.
In a third aspect, an embodiment of the present invention further provides a computer device, where the computer device includes:
one or more processors;
storage means for storing one or more programs;
when the one or more programs are executed by the one or more processors, the one or more processors implement the drive test data processing method provided by any embodiment of the present invention.
In a fourth aspect, an embodiment of the present invention further provides a computer storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the drive test data processing method provided in any embodiment of the present invention.
According to the embodiment of the invention, the obtained original drive test data is screened according to the optimization index data to obtain the drive test data to be processed, and the drive test data to be processed is further subjected to clustering processing according to the region clustering algorithm to obtain the drive test region to be optimized, so that the automatic processing of the drive test data to be optimized is realized, and the problems of high labor cost, low data processing efficiency, low accuracy of processing results and the like in the conventional manual drive test data processing mode are solved, thereby reducing the labor cost for processing the drive test data and improving the processing efficiency and accuracy of the drive test region to be optimized.
Drawings
Fig. 1 is a flowchart of a method for processing drive test data according to an embodiment of the present invention;
fig. 2 is a flowchart of a drive test data processing method according to a second embodiment of the present invention;
fig. 3 is a schematic diagram of a drive test data processing flow according to a second embodiment of the present invention;
fig. 4 is a schematic diagram of a drive test data processing apparatus according to a third embodiment of the present invention;
fig. 5 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention.
It should be further noted that, for the convenience of description, only some but not all of the relevant aspects of the present invention are shown in the drawings. Before discussing exemplary embodiments in greater detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although a flowchart may describe the operations (or steps) as a sequential process, many of the operations can be performed in parallel, concurrently or simultaneously. In addition, the order of the operations may be re-arranged. The process may be terminated when its operations are completed, but may have additional steps not included in the figure. The processes may correspond to methods, functions, procedures, subroutines, and the like.
The terms "first" and "second," and the like in the description and claims of embodiments of the invention and in the drawings, are used for distinguishing between different objects and not for describing a particular order. Furthermore, the terms "comprising" and "having," as well as any variations thereof, are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or elements is not set forth for a listed step or element but may include steps or elements not listed.
Example one
Fig. 1 is a flowchart of a method for processing drive test data according to an embodiment of the present invention, where the method is applicable to a situation where drive test data is automatically processed to obtain a drive test area to be optimized, and the method may be executed by a drive test data processing apparatus, where the apparatus may be implemented by software and/or hardware, and may be generally integrated in a computer device, where the computer device may be a terminal device or a server device. Accordingly, as shown in fig. 1, the method comprises the following operations:
and S110, acquiring original drive test data.
The original drive test data can be data acquired in the drive test process of a certain type of equipment to be tested. Optionally, the device under test may be, for example, a wireless network device or an autonomous vehicle device. When the device to be tested is a wireless network device, the drive test can test the wireless signals in the road to verify the service performance of the wireless environment, so that the reasonable planning of the wireless network environment and the optimal configuration of resources are supported. When the device to be tested is the automatic driving vehicle device, the driving test can test the driving state of the automatic driving vehicle in the road so as to verify the unmanned driving performance of the automatic driving vehicle, thereby supporting the function optimization and the upgrade of the automatic driving vehicle. It should be noted that any device that needs to be tested with the road as a reference may be used as the device to be tested, and the embodiment of the present invention does not limit the specific device type of the device to be tested.
It can be understood that, in the process of performing drive test on the device to be tested outdoors, the drive test data collected in real time may be stored in the relevant drive test software or platform as the original drive test data. Correspondingly, if the drive test data needs to be processed, the original drive test data can be acquired from the drive test software or the platform storing the original drive test data.
For example, when the device under test is a wireless network device, the raw drive test data may be wireless network performance test data. When the device under test is an autonomous vehicle device, the raw drive test data may be performance test data generated by the autonomous vehicle. That is, the type and content of the original drive test data are determined by the type of the device under test, and the specific data type and content of the original drive test data are not limited in the embodiment of the present invention.
And S120, screening the original drive test data according to the optimized index data to obtain the drive test data to be processed.
The optimization index data may be reference index data used for screening the original drive test data. The drive test data to be processed may be data obtained by screening the original drive test data according to the optimization index data.
Correspondingly, after the original drive test data are obtained, the optimization index data can be determined according to the type of the original drive test data and the application scene of the drive test. After the optimization index data is determined, the original drive test data can be screened according to the determined optimization index data to obtain the drive test data to be processed. Optionally, part of the original drive test data which does not meet the requirement of the optimization index data may be screened out from the original drive test data according to the optimization index data to serve as the drive test data to be processed.
For example, when the raw drive test data is the wireless network performance test data, the optimization index data may be the wireless network index data, such as a Reference Signal Receiving Power (RSRP) index or a Signal to Interference plus Noise Ratio (SINR) index. Correspondingly, data with unqualified indexes can be screened out from the wireless network performance test data according to the wireless network index data to be used as the to-be-processed drive test data.
For example, when the raw drive test data is performance test data generated by the autonomous vehicle, the optimization index data may be index data of a related function module in autonomous driving, such as index data of normal operation of a sensor and operation index data of a control module. Correspondingly, data with unqualified indexes can be screened out from the performance test data generated by the automatic driving vehicle according to the index data of the functional module to be used as the to-be-processed drive test data.
And S130, clustering the drive test data to be processed according to a region clustering algorithm to obtain a drive test region to be optimized.
The regional Clustering algorithm may be an algorithm for Clustering by using geographic location information, and optionally, the regional Clustering algorithm may be, for example, a DBSCAN (Density-Based Clustering of Applications with Noise) algorithm, and the like. The drive test area to be optimized may be a cluster obtained by clustering the drive test data to be processed by using an area clustering algorithm.
In the embodiment of the invention, after the drive test data to be processed is obtained, the screened drive test data to be processed can be clustered according to the regional clustering algorithm to obtain clusters with different sizes, each cluster can comprise the drive test data to be processed of certain data, and the drive test data to be processed in one cluster belongs to the original drive test data collected in one road region range. Optionally, the drive test data to be processed is part of the original drive test data that does not meet the requirement of the optimization index data, and therefore, each cluster can be used as a drive test region to be optimized. Each road area to be optimized represents a road area with poor working performance of equipment to be tested, so that the performance of the equipment to be tested can be optimized according to the to-be-processed road test data included in the road area to be optimized.
Illustratively, when the original drive test data is wireless network performance test data, the drive test data to be processed may be data with unqualified indexes screened from the wireless network performance test data, and a plurality of drive test areas to be optimized may be obtained by clustering the drive test data to be processed according to a region clustering algorithm, where each drive test area to be optimized is a road area with poor wireless signal quality. Correspondingly, the wireless coverage performance of the wireless network equipment can be optimized according to the drive test area to be optimized, so that the problem of poor wireless signal quality in the drive test area to be optimized is solved.
For example, when the original drive test data is performance test data generated by the autonomous vehicle, the drive test data to be processed may be data with unqualified indexes screened from the performance test data generated by the autonomous vehicle, and a plurality of drive test areas to be optimized may be obtained by performing clustering processing on the drive test data to be processed according to a regional clustering algorithm, where each drive test area to be optimized is a road area with poor driving performance of the autonomous vehicle, such as a sharp turn area where the autonomous vehicle is difficult to maintain high stability. Correspondingly, the related performance of the automatic driving vehicle equipment can be optimized according to the area to be optimized, so that the problem that the driving performance of the automatic driving vehicle in the area to be optimized is poor is solved.
Therefore, the embodiment of the invention can effectively solve the problems of high labor cost, low data processing efficiency, low accuracy of processing results and the like in the conventional manual method for processing the drive test data by automatically screening and processing mass original drive test data by using the computer equipment and intelligently analyzing the screened data by using the computer equipment and the regional clustering algorithm, thereby reducing the labor cost for processing the drive test data and improving the processing efficiency and accuracy of the drive test region to be optimized.
According to the embodiment of the invention, the obtained original drive test data is screened according to the optimization index data to obtain the drive test data to be processed, and the drive test data to be processed is further subjected to clustering processing according to the region clustering algorithm to obtain the drive test region to be optimized, so that the automatic processing of the drive test data to be optimized is realized, and the problems of high labor cost, low data processing efficiency, low accuracy of processing results and the like in the conventional manual drive test data processing mode are solved, thereby reducing the labor cost for processing the drive test data and improving the processing efficiency and accuracy of the drive test region to be optimized.
Example two
Fig. 2 is a flowchart of a drive test data processing method according to a second embodiment of the present invention, and fig. 3 is a schematic diagram of a drive test data processing flow according to a second embodiment of the present invention, which is embodied based on the above embodiments. Accordingly, as shown in fig. 2 and 3, the method of the present embodiment may include:
and S210, acquiring original drive test data.
In an optional embodiment of the present invention, the raw drive test data may comprise wireless network indicator data; the optimization indicator data may include wireless network optimization indicator data.
The wireless network index data may be data representing wireless network working performance, such as an RSRP value or an SINR value, as long as the wireless network working performance can be reflected, and the specific data type of the wireless network index data is not limited in the embodiments of the present invention. The wireless network optimization index data may be data capable of optimizing and improving the working performance of the wireless network, such as RSRP or SINR, and similarly, the specific data type of the wireless network optimization index data is not limited in the embodiments of the present invention.
In the embodiment of the present invention, optionally, the original drive test data may be wireless network performance test data, and may include wireless network index data. Accordingly, the optimization index data may be wireless network optimization index data to screen the original drive test data according to the wireless network optimization index data.
And S220, determining a wireless network index threshold value.
The wireless network indicator threshold may be used to filter the raw drive test data, and may include an RSRP threshold and/or an SINR threshold.
Optionally, if the original drive test data is wireless network performance test data, before the original drive test data is screened, a wireless network index threshold value may be determined first, and the wireless network index threshold value is used as the optimized index data to screen the original drive test data. Optionally, the wireless network index threshold may be an RSRP threshold or an SINR threshold, or a combination of the RSRP threshold and the SINR threshold, where the combination of the RSRP threshold and the SINR threshold may be used to determine the coverage index threshold. Optionally, the RSRP threshold may be set to-110 or-105, and the SINR threshold may be set to-3, which may be specifically set according to the service requirement of wireless network optimization.
And S230, screening the original drive test data according to the wireless network index threshold value and the wireless network index data to obtain the drive test data to be processed.
Correspondingly, after the wireless network index threshold is determined, the original drive test data can be screened according to the wireless network index threshold and the wireless network index data, and the drive test data to be processed is obtained. It should be noted that the drive test data to be processed may be determined according to the type of the wireless network indicator threshold, that is, one wireless network indicator threshold may correspond to one drive test data to be processed. Or, all the original drive test data may also be screened out according to all the wireless network index thresholds as a kind of drive test data to be processed, which is not limited in the embodiment of the present invention.
In a specific example, assuming that the RSRP threshold is set to-110 and the SINR threshold is set to-3, for example, all data with RSRP values less than-110 may be filtered out from the original drive test data as the first type of to-be-processed drive test data. Meanwhile, all data with SINR values smaller than-3 can be screened out from the original drive test data to serve as second type of drive test data to be processed. Or, screening out all data with the RSRP value less than-110 and the SINR value less than-3 from the original drive test data as the third type of drive test data to be processed.
And S240, clustering the drive test data to be processed according to a region clustering algorithm to obtain a drive test region to be optimized.
It should be noted that, if the to-be-processed drive test data includes multiple types, clustering processing needs to be performed on each type of to-be-processed drive test data by using a region clustering algorithm. Correspondingly, each type of drive test data to be processed can correspondingly obtain a plurality of drive test areas to be optimized.
In a specific example, assuming that the first type of to-be-processed drive test data is screened according to the RSRP value, the second type of to-be-processed drive test data is screened according to the SINR value, and the third type of to-be-processed drive test data is screened according to the RSRP value and the SINR value, the clustering process may be performed by using a region clustering algorithm for each type of to-be-processed drive test data. Correspondingly, the multiple to-be-optimized drive test areas obtained by corresponding to the first type of to-be-processed drive test data are areas with unqualified RSRP indexes, the multiple to-be-optimized drive test areas obtained by corresponding to the second type of to-be-processed drive test data are areas with unqualified SINR indexes, and the multiple to-be-optimized drive test areas obtained by corresponding to the third type of to-be-processed drive test data are areas with unqualified RSRP indexes and SINR indexes.
And S250, determining a first area threshold value.
The first area threshold value can be used for judging whether the area to be optimized meets the optimization requirement.
It can be understood that, in a drive test application scenario of a wireless network environment, when acquiring original drive test data, there may be a situation where a certain acquisition position corresponds to acquiring a plurality of original drive test data. For example, when the collection vehicle stops at a fixed position, the data collection device continuously collects the drive test data of the fixed position, and then a plurality of original drive test data exist corresponding to the fixed position. If the quality of the wireless network signal corresponding to the fixed position is poor, a plurality of original drive test data corresponding to the fixed position may be screened as the drive test data to be processed. Because the geographic position information corresponding to the drive test data to be processed is the same, when clustering is carried out according to the regional clustering algorithm, a plurality of original drive test data corresponding to the fixed position can be divided into a cluster to form a drive test region to be optimized. In practical scenarios, it is a region rather than a location point that needs to be optimized for the wireless network. If the quality of the wireless network signals at other positions near the fixed position is better, and only the quality of the wireless network signals at the fixed position is poorer, it is obvious that the area to be optimized, which is formed by a plurality of original drive test data corresponding to the fixed position, is not reasonable, and the area to be optimized, which is formed by the fixed position, does not meet the optimization requirement of the wireless network.
Therefore, in order to further confirm the reasonability of each drive test area to be optimized, a first area threshold value can be determined to judge and identify each drive test area to be optimized.
And S260, judging whether the area range of the drive test area to be optimized is larger than or equal to a first area threshold value, if so, executing S270, and otherwise, executing S280.
Specifically, an area range corresponding to each drive test area to be optimized may be obtained, and the area range corresponding to each drive test area to be optimized is compared with the determined first area threshold. If the area range of the drive test area to be optimized is larger than or equal to the first area threshold value, the drive test area to be optimized meets the optimization requirement of the wireless network, and the wireless network can be optimized; otherwise, the area to be optimized does not meet the optimization requirement of the wireless network, and the area to be optimized can be directly ignored.
And S270, determining the area to be optimized as a first area to be optimized.
The first to-be-optimized drive test area may be an area that meets optimization requirements of the wireless network in the to-be-optimized drive test area.
Correspondingly, when the area range of the drive test area to be optimized is greater than or equal to the first area threshold, the drive test area to be optimized may be determined as the first drive test area to be optimized. All the first to-be-optimized drive test areas can be constructed to form a first to-be-optimized drive test area list. Optionally, when the types of the first to-be-optimized drive test areas are different, the corresponding first to-be-optimized drive test area lists may be respectively constructed for the first to-be-optimized drive test areas of different types.
Illustratively, assume that the first region threshold is 100 square meters. If the area range of the drive test area to be optimized is 200 square meters and is larger than the first area threshold value, the drive test area to be optimized can be used as the first drive test area to be optimized.
And S280, ignoring the drive test area to be optimized.
In an optional embodiment of the present invention, the raw drive test data may further include longitude and latitude data; after the acquiring the raw drive test data, the method may further include: determining a second to-be-optimized drive test area for the original drive test data according to a longitude and latitude distance measurement algorithm; and determining a target drive test area to be optimized according to the first drive test area to be optimized and the second drive test area to be optimized.
The latitude and longitude distance measurement algorithm may be an algorithm for calculating the drive test area to be optimized by using latitude and longitude data of the original drive test data. The second area to be optimized may be an area that satisfies optimization requirements of the wireless network and is calculated by using a latitude and longitude distance measurement algorithm. The target drive test area to be optimized may be a finally determined area in which wireless network optimization is required.
In order to further ensure the accuracy of the drive test area to be optimized, in the embodiment of the present invention, after the first drive test area to be optimized is obtained by using the area clustering algorithm, the original drive test data may be further processed by using the longitude and latitude distance measurement algorithm to determine the second drive test area to be optimized, so that the target drive test area to be optimized, which needs to be subjected to the wireless network optimization, is finally determined according to the first drive test area to be optimized and the second drive test area to be optimized.
In an optional embodiment of the present invention, the determining, according to the longitude and latitude distance measuring and calculating method, the second to-be-optimized drive test area for the original drive test data may include: determining a second region threshold; determining target continuous drive test data in the original drive test data according to the wireless network index threshold value; the target continuous drive test data is continuously distributed original drive test data of which the wireless network index data is smaller than the wireless network index threshold value; acquiring target longitude and latitude data of the target continuous drive test data; and under the condition that the target area range included by the target continuous drive test data is determined to be greater than or equal to the second area threshold value according to the target longitude and latitude data, determining the target area range as the second drive test area to be optimized. All the second drive test areas to be optimized can be constructed to form a second drive test area list to be optimized. Optionally, when the types of the second drive test areas to be optimized are different, corresponding second drive test area lists to be optimized may be respectively constructed for the second drive test areas to be optimized of different types.
The second area threshold value can be used for assisting the longitude and latitude distance measuring and calculating method to determine a second area to be optimized. For example, assuming that 7 pieces of continuously acquired raw drive test data, including data 1, data 2, data 3, data 4, data 5, data 6, and data 7, are included in the raw drive test data, and the wireless network indicator data of data 2, data 3, data 4, data 5, and data 6 are all smaller than the wireless network indicator threshold, data 2, data 3, data 4, data 5, and data 6 may be referred to as target continuous drive test data. The target longitude and latitude data may be longitude and latitude data of each original drive test data in the target continuous drive test data. The target area range may be an area range formed by the target latitude and longitude data.
When determining the second to-be-optimized drive test area by using the longitude and latitude distance measuring and calculating method, a second area threshold value needs to be determined at first. Optionally, the second area threshold may be the same as or different from the first area threshold, which is not limited in this embodiment of the present invention. Correspondingly, the step of the latitude and longitude distance measurement algorithm may include: and sequentially calculating the size relation between the original drive test data and the wireless network index threshold value according to the acquisition sequence of the original drive test data aiming at the original drive test data. If the wireless network index data of the original drive test data is smaller than the wireless network index threshold value, recording the original drive test data until the wireless network index data of the original drive test data is larger than or equal to the wireless network index threshold value, and taking all the recorded original drive test data as a group of target continuous drive test data. After the current target continuous drive test data recording is completed, a next set of target continuous drive test data may be recorded. By analogy, at least one set of target continuous drive test data may be determined from all of the original drive test data. After each group of target continuous drive test data is obtained, the target longitude and latitude data of each group of target continuous drive test data can be respectively calculated, and the target area range corresponding to each group of target continuous drive test data is determined according to the target longitude and latitude data. If the target area range is larger than or equal to the second area threshold value, determining the target area range as a second drive test area to be optimized; otherwise, the target area range is ignored.
It should be noted that, if the original drive test data is linearly distributed data, a distance threshold may be used to replace the second area threshold to calculate the second drive test area to be optimized. For example, assuming that the raw drive test data is linearly distributed from north to south, the distance threshold may be set to 100 meters. And determining target continuous drive test data in the original drive test data according to the wireless network index threshold value. Further, target latitude data of the target continuous drive test data can be acquired, and a linear distance formed by each target latitude data is calculated. If the linear distance is 200 meters and is greater than the distance threshold, the area range formed by the target continuous drive test data can be used as the second drive test area to be optimized.
In an optional embodiment of the present invention, the determining a target drive test area to be optimized according to the first drive test area to be optimized and the second drive test area to be optimized may include: merging the first to-be-optimized drive test area and the second to-be-optimized drive test area to obtain a merged to-be-optimized drive test area; and carrying out region duplicate removal processing on the combined path region to be optimized to obtain the target drive test region to be optimized.
The merged drive test region to be optimized may be a drive test region to be optimized obtained by merging the first drive test region to be optimized and the second drive test region to be optimized. And the area deduplication processing is to delete the duplicated drive test areas to be optimized.
Specifically, after the first to-be-optimized drive test region and the second to-be-optimized drive test region are obtained, the first to-be-optimized drive test region and the second to-be-optimized drive test region may be merged to obtain a merged to-be-optimized drive test region. Furthermore, region deduplication processing can be performed on repeated regions in the combined path region to be optimized to obtain a final target drive test region to be optimized, and each target drive test region to be optimized can be constructed to form a target drive test region list to be optimized.
For example, assuming that the first to-be-optimized drive test area includes an area 1, an area 2, an area 5, and an area 6, and the second to-be-optimized drive test area includes an area 1, an area 3, an area 4, and an area 6, the merged to-be-optimized drive test area may be the area 1, the area 2, the area 3, the area 4, the area 5, the area 6, and then the area deduplication processing is performed on the merged to-be-optimized drive test area, so that the obtained target to-be-optimized drive test area is the area 1, the area 2, the area 3, the area 4, the area 5, and the area 6.
In an optional embodiment of the present invention, the target drive test region to be optimized may include an RSRP optimization region, an SINR optimization region, and a coverage optimization region.
The RSRP optimization area is a to-be-optimized drive test area obtained by comparing RSRP values in original drive test data serving as wireless network index data with a set RSRP threshold value. The SINR optimization area is also the area to be optimized, which is obtained by comparing the SINR value in the original drive test data as the wireless network index data with the set SINR threshold. The coverage optimization area may be a to-be-optimized drive test area obtained by using the RSRP value and the SINR value in the original drive test data as wireless network index data and comparing the RSRP value and the SINR value with a set RSRP threshold and an SINR threshold, respectively.
Correspondingly, after the target road test area to be optimized is obtained, relevant workers can specifically analyze problem points according to original road test data in the target road test area to be optimized, and therefore reasonable planning of a wireless network environment and optimal configuration of resources are achieved.
By adopting the technical scheme, the target drive test area to be optimized is determined by utilizing the area clustering algorithm and combining the longitude and latitude distance measuring and calculating method, so that the accuracy of the drive test area to be optimized can be further improved.
It should be noted that any permutation and combination between the technical features in the above embodiments also belong to the scope of the present invention.
EXAMPLE III
Fig. 4 is a schematic diagram of a drive test data processing apparatus according to a third embodiment of the present invention, and as shown in fig. 4, the apparatus includes: an original drive test data obtaining module 310, a to-be-processed drive test data obtaining module 320, and a to-be-optimized drive test area obtaining module 330, where:
an original drive test data obtaining module 310, configured to obtain original drive test data;
the to-be-processed drive test data acquisition module 320 is configured to screen the original drive test data according to the optimization index data to obtain to-be-processed drive test data;
and the to-be-optimized drive test region acquisition module 330 is configured to perform clustering processing on the to-be-processed drive test data according to a region clustering algorithm to obtain a to-be-optimized drive test region.
According to the embodiment of the invention, the obtained original drive test data is screened according to the optimization index data to obtain the drive test data to be processed, and the drive test data to be processed is further subjected to clustering processing according to the region clustering algorithm to obtain the drive test region to be optimized, so that the automatic processing of the drive test data to be optimized is realized, and the problems of high labor cost, low data processing efficiency, low accuracy of processing results and the like in the conventional manual drive test data processing mode are solved, thereby reducing the labor cost for processing the drive test data and improving the processing efficiency and accuracy of the drive test region to be optimized.
Optionally, the original drive test data includes wireless network index data; the optimization index data comprises wireless network optimization index data; the to-be-processed drive test data obtaining module 320 is specifically configured to: determining a wireless network index threshold value; wherein the wireless network indicator threshold comprises an RSRP threshold and/or an SINR threshold; and screening the original drive test data according to the wireless network index threshold value and the wireless network index data to obtain the drive test data to be processed.
Optionally, the drive test data processing apparatus further includes: a first region threshold determination module, configured to determine a first region threshold; and the first to-be-optimized drive test area determining module is used for determining the to-be-optimized drive test area as the first to-be-optimized drive test area under the condition that the area range of the to-be-optimized drive test area is determined to be greater than or equal to the first area threshold value.
Optionally, the original drive test data further includes longitude and latitude data; the drive test data processing apparatus further includes: the second to-be-optimized drive test area determining module is used for determining a second to-be-optimized drive test area for the original drive test data according to a longitude and latitude distance measuring algorithm; and the target to-be-optimized drive test area determining module is used for determining the target to-be-optimized drive test area according to the first to-be-optimized drive test area and the second to-be-optimized drive test area.
Optionally, the second to-be-optimized drive test area determining module is specifically configured to: determining a second region threshold; determining target continuous drive test data in the original drive test data according to the wireless network index threshold value; the target continuous drive test data is continuously distributed original drive test data of which the wireless network index data is smaller than the wireless network index threshold value; acquiring target longitude and latitude data of the target continuous drive test data; and under the condition that the target area range included by the target continuous drive test data is determined to be greater than or equal to the second area threshold value according to the target longitude and latitude data, determining the target area range as the second drive test area to be optimized.
Optionally, the target to-be-optimized drive test area determining module is specifically configured to: merging the first to-be-optimized drive test area and the second to-be-optimized drive test area to obtain a merged to-be-optimized drive test area; and carrying out region duplicate removal processing on the combined path region to be optimized to obtain the target drive test region to be optimized.
Optionally, the target drive test area to be optimized includes an RSRP optimization area, an SINR optimization area, and a coverage optimization area.
The drive test data processing device can execute the drive test data processing method provided by any embodiment of the invention, and has corresponding functional modules and beneficial effects of the execution method. For details of the technology that are not described in detail in this embodiment, reference may be made to a drive test data processing method provided in any embodiment of the present invention.
Since the above-described drive test data processing apparatus is an apparatus capable of executing the drive test data processing method in the embodiment of the present invention, based on the drive test data processing method described in the embodiment of the present invention, a person skilled in the art can understand a specific implementation manner of the drive test data processing apparatus of the embodiment and various variations thereof, and therefore, how the drive test data processing apparatus implements the drive test data processing method in the embodiment of the present invention is not described in detail here. As long as those skilled in the art implement the apparatus used in the method for processing drive test data in the embodiment of the present invention, the apparatus is within the scope of the present application.
Example four
Fig. 5 is a schematic structural diagram of a computer device according to a fourth embodiment of the present invention. FIG. 5 illustrates a block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention. The computer device 12 shown in FIG. 5 is only an example and should not bring any limitations to the functionality or scope of use of embodiments of the present invention.
As shown in FIG. 5, computer device 12 is in the form of a general purpose computing device. The components of computer device 12 may include, but are not limited to: one or more processors 16, a memory 28, and a bus 18 that connects the various system components (including the memory 28 and the processors 16).
Computer device 12 typically includes a variety of computer system readable media. Such media may be any available media that is accessible by computer device 12 and includes both volatile and nonvolatile media, removable and non-removable media.
A program/utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28, such program modules 42 including, but not limited to, an operating system, one or more application programs, other program modules, and program data, each of which examples or some combination thereof may comprise an implementation of a network environment. Program modules 42 generally carry out the functions and/or methodologies of the described embodiments of the invention.
Computer device 12 may also communicate with one or more external devices 14 (e.g., keyboard, pointing device, display 24, etc.), with one or more devices that enable a user to interact with computer device 12, and/or with any devices (e.g., network card, modem, etc.) that enable computer device 12 to communicate with one or more other computing devices. Such communication may be through an Input/Output (I/O) interface 22. Moreover, computer device 12 may also communicate with one or more networks (e.g., a Local Area Network (LAN), Wide Area Network (WAN)) and/or a public Network (e.g., the Internet) via Network adapter 20. As shown, network adapter 20 communicates with the other modules of computer device 12 via bus 18. It should be appreciated that although not shown in FIG. 5, other hardware and/or software modules may be used in conjunction with computer device 12, including but not limited to: microcode, device drivers, Redundant processing units, external disk drive Arrays, (Redundant Arrays of Independent Disks, RAID) systems, tape drives, and data backup storage systems, to name a few.
The processor 16 executes various functional applications and data processing by running the program stored in the memory 28, so as to implement the drive test data processing method provided by the embodiment of the present invention: acquiring original drive test data; screening the original drive test data according to the optimized index data to obtain drive test data to be processed; and clustering the drive test data to be processed according to a region clustering algorithm to obtain a drive test region to be optimized.
EXAMPLE five
An embodiment of the present invention further provides a computer storage medium storing a computer program, where the computer program is used to execute the drive test data processing method according to any one of the above embodiments of the present invention when executed by a computer processor: acquiring original drive test data; screening the original drive test data according to the optimized index data to obtain drive test data to be processed; and clustering the drive test data to be processed according to a region clustering algorithm to obtain a drive test region to be optimized.
Computer storage media for embodiments of the invention may employ any combination of one or more computer-readable media. The computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM) or flash Memory), an optical fiber, a portable compact disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, Radio Frequency (RF), etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the 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 the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (7)
1. A drive test data processing method is characterized by comprising the following steps:
acquiring original drive test data;
screening the original drive test data according to the optimized index data to obtain drive test data to be processed;
clustering the drive test data to be processed according to a region clustering algorithm to obtain a drive test region to be optimized;
the original drive test data comprises wireless network index data; the optimization index data comprises wireless network optimization index data;
the screening the original drive test data according to the optimization index data comprises:
determining a wireless network index threshold value; wherein the wireless network indicator threshold comprises a Reference Signal Received Power (RSRP) threshold and/or a signal to interference plus noise ratio (SINR) threshold;
screening the original drive test data according to the wireless network index threshold value and the wireless network index data to obtain the drive test data to be processed;
after the clustering processing is performed on the drive test data to be processed according to the region clustering algorithm, the method further comprises the following steps:
determining a first region threshold;
determining the area to be optimized as a first area to be optimized under the condition that the area range of the area to be optimized is larger than or equal to the first area threshold value;
the original drive test data also comprises longitude and latitude data;
after the acquiring the raw drive test data, further comprising:
determining a second to-be-optimized drive test area for the original drive test data according to a longitude and latitude distance measurement algorithm;
and determining a target drive test area to be optimized according to the first drive test area to be optimized and the second drive test area to be optimized.
2. The method of claim 1, wherein determining a second drive test area to be optimized for the raw drive test data according to a latitude and longitude distance estimation method comprises:
determining a second region threshold;
determining target continuous drive test data in the original drive test data according to the wireless network index threshold value; the target continuous drive test data is continuously distributed original drive test data of which the wireless network index data is smaller than the wireless network index threshold value;
acquiring target longitude and latitude data of the target continuous drive test data;
and under the condition that the target area range included by the target continuous drive test data is determined to be greater than or equal to the second area threshold value according to the target longitude and latitude data, determining the target area range as the second drive test area to be optimized.
3. The method of claim 2, wherein determining a target drive test area to be optimized from the first drive test area to be optimized and the second drive test area to be optimized comprises:
merging the first to-be-optimized drive test area and the second to-be-optimized drive test area to obtain a merged to-be-optimized drive test area;
and carrying out region duplicate removal processing on the combined path region to be optimized to obtain the target drive test region to be optimized.
4. The method of claim 3, wherein the target drive test area to be optimized comprises an RSRP optimized area, an SINR optimized area, and a coverage optimized area.
5. A drive test data processing apparatus, characterized by comprising:
the original drive test data acquisition module is used for acquiring original drive test data;
the to-be-processed drive test data acquisition module is used for screening the original drive test data according to the optimized index data to obtain the to-be-processed drive test data;
the system comprises a to-be-optimized drive test region acquisition module, a data processing module and a data processing module, wherein the to-be-optimized drive test region acquisition module is used for clustering the to-be-processed drive test data according to a region clustering algorithm to obtain a to-be-optimized drive test region;
a first region threshold determination module, configured to determine a first region threshold; the first to-be-optimized drive test area determining module is used for determining the to-be-optimized drive test area as a first to-be-optimized drive test area under the condition that the area range of the to-be-optimized drive test area is determined to be larger than or equal to the first area threshold value;
the original drive test data also comprises longitude and latitude data; the second to-be-optimized drive test area determining module is used for determining a second to-be-optimized drive test area for the original drive test data according to a longitude and latitude distance measuring algorithm; and the target to-be-optimized drive test area determining module is used for determining the target to-be-optimized drive test area according to the first to-be-optimized drive test area and the second to-be-optimized drive test area.
6. A computer device, characterized in that the computer device comprises:
one or more processors;
storage means for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement the drive test data processing method of any of claims 1-4.
7. A computer storage medium on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of processing drive test data according to any one of claims 1 to 4.
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