CN117412315B - Wireless communication network data optimization method based on data analysis - Google Patents
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Abstract
The invention belongs to the field of wireless communication, relates to a data analysis technology, and is used for solving the problem that in the prior art, a wireless communication network data optimization method cannot directly adopt the most appropriate measure for optimization treatment when the communication state is abnormal, in particular to a wireless communication network data optimization method based on data analysis, which is used for detecting and analyzing the communication signals of a wireless communication network: the invention can detect and analyze the communication signals of the wireless communication network, collect communication parameters of a plurality of detection points of the coverage area of the wireless communication network, comprehensively analyze and calculate the communication parameters to obtain communication coefficients, and feed back the communication state of the detection points according to the communication coefficients.
Description
Technical Field
The invention belongs to the field of wireless communication, relates to a data analysis technology, and particularly relates to a wireless communication network data optimization method based on data analysis.
Background
Wireless networks refer to networks that enable interconnection of various communication devices without wiring, and wireless network technologies cover a wide range of networks, including both global voice and data networks that allow users to establish long-range wireless connections, and infrared and radio frequency technologies that are optimized for short-range wireless connections.
The wireless communication network data optimization method in the prior art does not have the function of optimizing decision analysis on the network, so that the wireless communication network cannot directly adopt the most appropriate measures to perform optimization treatment when the communication state is abnormal, and the optimization efficiency of the wireless communication network is low.
Aiming at the technical problems, the application provides a solution.
Disclosure of Invention
The invention aims to provide a wireless communication network data optimization method based on data analysis, which is used for solving the problem that the wireless communication network data optimization method in the prior art cannot directly adopt the most suitable measure for optimization treatment when the communication state is abnormal;
the technical problems to be solved by the invention are as follows: how to provide a wireless communication network data optimization method based on data analysis, which can not directly adopt the most suitable measures to perform optimization processing when the communication state is abnormal.
The aim of the invention can be achieved by the following technical scheme:
a wireless communication network data optimization method based on data analysis comprises the following steps:
step one: detecting and analyzing communication signals of the wireless communication network: setting a plurality of detection points in a coverage area of a wireless communication network, carrying out communication detection on the detection points at regular time, acquiring communication coefficients TX of the detection points, marking the detection points as abnormal points or normal points through the communication coefficients TX, and judging whether the communication state of the wireless communication network meets the requirement or not through the number ratio of the abnormal points in the detection points;
step two: analyzing the optimizing measures of the wireless communication network: summing up and averaging the communication coefficients TX of all detection points to obtain a uniform coefficient, calculating variance of the communication coefficients TX of all detection points to obtain a distribution coefficient, and marking optimization measures of the wireless network through the uniform coefficient and the distribution coefficient;
step three: and carrying out optimization analysis on the local communication state of the wireless communication network, obtaining a plurality of analysis areas, carrying out variance calculation on the coverage coefficients of all the analysis areas to obtain delay coefficients, and marking the local optimization measures of the wireless communication network through the delay coefficients.
As a preferred embodiment of the present invention, in the step one, the process of obtaining the communication coefficient TX of the detection point includes: acquiring uplink data SX and downlink data XX of a detection point, and performing numerical calculation to obtain a communication coefficient TX of the detection point; the uplink data SX is the minimum value of the uplink speed of the detection point in all the communication transmission channels, and the downlink data XX is the minimum value of the downlink speed of the detection point in all the communication transmission channels.
As a preferred embodiment of the present invention, in the step one, a specific process for determining whether a communication status of a wireless communication network meets a requirement includes: marking the ratio of the number of abnormal points to the number of detection points as an abnormal coefficient of the wireless communication network, acquiring an abnormal threshold value through a storage module, and comparing the abnormal coefficient with the abnormal threshold value: if the anomaly coefficient is smaller than the anomaly threshold value, judging that the communication state of the wireless communication network meets the requirement; if the anomaly coefficient is greater than or equal to the anomaly threshold value, judging that the communication state of the wireless communication network does not meet the requirement, generating an optimized analysis signal, sending the optimized analysis signal to an optimized analysis platform, and sending the optimized analysis signal to an optimized analysis module after the optimized analysis platform receives the optimized analysis signal.
In a preferred embodiment of the present invention, in the first step, the specific process of marking the detection point as an abnormal point or a normal point includes: the communication threshold TXmin is obtained through the storage module, and the communication coefficient TX of the detection point is compared with the communication threshold TXmin: if the communication coefficient TX is smaller than the communication threshold TXmin, judging that the communication state of the detection point does not meet the requirement, and marking the corresponding detection point as an abnormal point; if the communication coefficient TX is greater than or equal to the communication threshold TXmin, determining that the communication state of the detection point meets the requirement, and marking the corresponding detection point as a normal point.
As a preferred embodiment of the present invention, in the second step, the specific process of marking the optimization measure of the wireless communication network includes: the storage module is used for acquiring a uniform threshold value and a distribution threshold value, and comparing the uniform coefficient and the distribution coefficient with the uniform threshold value and the distribution threshold value respectively: if the uniformity coefficient is smaller than the uniformity threshold value and the distribution coefficient is smaller than the distribution threshold value, marking the optimization measure of the wireless communication network as integral optimization, generating a channel optimization signal and transmitting the channel optimization signal to an optimization analysis platform, and transmitting the channel optimization signal to a mobile phone terminal of a manager after the optimization analysis platform receives the channel optimization signal; if the uniformity coefficient is greater than or equal to the uniformity threshold value and the distribution coefficient is smaller than the distribution threshold value, marking the optimization measure of the wireless communication network as delay optimization, generating a delay optimization signal and transmitting the delay optimization signal to an optimization analysis platform, and transmitting the delay optimization signal to a mobile phone terminal of a manager after the delay optimization signal is received by the optimization analysis platform; if the distribution coefficient is greater than or equal to the distribution threshold, marking the optimization measure of the wireless communication network as local optimization, generating a local analysis signal, sending the local analysis signal to an optimization analysis platform, and sending the local analysis signal to a local analysis module after the optimization analysis platform receives the local analysis signal.
As a preferred embodiment of the present invention, in the third step, the dividing process of the analysis area includes: drawing a circle by taking the outlet route as the center of a circle and r1 as the radius to obtain a first analysis area, drawing a circle by taking the outlet route as the center of a circle and 2 r1 as the radius, marking an annular area formed by the obtained circular area and the first analysis area as a second analysis area, and the like until all detection points are all positioned in the analysis area.
As a preferred embodiment of the present invention, in the third step, the process of acquiring the coverage coefficient of the analysis area includes: and marking all abnormal points in the analysis area as coverage points of the analysis area, summing the distance values of all coverage points in the analysis area and the exit route, taking an average value to obtain a coverage straight distance, and marking the ratio of the number of the coverage points in the analysis area to the coverage straight distance as a coverage coefficient.
As a preferred embodiment of the present invention, in the third step, the specific process of marking the local optimization measure of the wireless communication network includes: acquiring a delay threshold value through a storage module, and comparing a delay coefficient with the delay threshold value: if the delay coefficient is smaller than the delay threshold, generating a networking optimization signal and sending the networking optimization signal to an optimization analysis platform, and sending the networking optimization signal to a mobile phone terminal of a manager after the optimization analysis platform receives the networking optimization signal; if the delay coefficient is greater than or equal to the delay threshold, generating a relay optimization signal and sending the relay optimization signal to an optimization analysis platform, and sending the relay optimization signal to a mobile phone terminal of a manager after the optimization analysis platform receives the relay optimization signal.
The invention is used as a preferred implementation mode, and is applied to a wireless communication network data optimization system based on data analysis, and comprises an optimization analysis platform which is in communication connection with a communication detection module, an optimization analysis module, a local analysis module and a storage module;
the communication detection module is used for detecting and analyzing communication signals of the wireless communication network;
the optimization analysis module is used for analyzing the optimization measures of the wireless communication network;
the local analysis module is used for carrying out optimization analysis on the local communication state of the wireless communication network
The invention has the following beneficial effects:
1. the communication detection module can detect and analyze communication signals of the wireless communication network, collect communication parameters of a plurality of detection points of a coverage area of the wireless communication network, comprehensively analyze and calculate the communication parameters to obtain communication coefficients, feed back communication states of the detection points according to the communication coefficients, and provide data support for evaluation of the communication states of the wireless communication network;
2. the optimization analysis module can analyze the optimization measures of the wireless communication network, the global detection parameters of the wireless communication network are used for marking the optimization measures of the wireless communication network, and the wireless communication network can be directly subjected to targeted optimization treatment according to the marked optimization measures, so that the optimization efficiency of the wireless communication network is improved;
3. the local analysis module can carry out optimization analysis on the local communication state of the wireless communication network, the distribution characteristics of the abnormal points in each distribution area are obtained in a regional division mode, then the local optimization measures of the wireless communication network are marked according to the distribution characteristics, different processing measures are provided for different types of communication states, and the applicability of the optimization measures is improved.
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In order to more clearly illustrate the embodiments of the invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present invention;
fig. 2 is a flowchart of a method according to a second embodiment of the invention.
Detailed Description
The technical solutions of the present invention will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
As shown in FIG. 1, the wireless communication network data optimization system based on data analysis comprises an optimization analysis platform, wherein the optimization analysis platform is in communication connection with a communication detection module, an optimization analysis module, a local analysis module and a storage module.
The communication detection module is used for detecting and analyzing communication signals of the wireless communication network: setting a plurality of detection points in the coverage area of the wireless communication network, and carrying out communication detection on the detection points at fixed time: acquiring uplink data SX and downlink data XX of a detection point, wherein the uplink data SX is the minimum value of the uplink speed of the detection point in all communication transmission channels, the downlink data XX is the minimum value of the downlink speed of the detection point in all communication transmission channels, and the communication coefficient TX of the detection point is obtained through the formula TX=α1SX+α2XX, wherein both α1 and α2 are proportionality coefficients, and α1 > α2 > 1; the communication threshold TXmin is obtained through the storage module, and the communication coefficient TX of the detection point is compared with the communication threshold TXmin: if the communication coefficient TX is smaller than the communication threshold TXmin, judging that the communication state of the detection point does not meet the requirement, and marking the corresponding detection point as an abnormal point; if the communication coefficient TX is greater than or equal to the communication threshold TXmin, judging that the communication state of the detection point meets the requirement, and marking the corresponding detection point as a normal point; marking the ratio of the number of abnormal points to the number of detection points as an abnormal coefficient of the wireless communication network, acquiring an abnormal threshold value through a storage module, and comparing the abnormal coefficient with the abnormal threshold value: if the anomaly coefficient is smaller than the anomaly threshold value, judging that the communication state of the wireless communication network meets the requirement; if the anomaly coefficient is greater than or equal to the anomaly threshold value, judging that the communication state of the wireless communication network does not meet the requirement, generating an optimized analysis signal, sending the optimized analysis signal to an optimized analysis platform, and sending the optimized analysis signal to an optimized analysis module after the optimized analysis platform receives the optimized analysis signal; and detecting and analyzing communication signals of the wireless communication network, collecting communication parameters of a plurality of detection points of a coverage area of the wireless communication network, comprehensively analyzing and calculating the communication parameters to obtain communication coefficients, feeding back communication states of the detection points according to the communication coefficients, and providing data support for communication state evaluation of the wireless communication network.
The optimization analysis module is used for analyzing the optimization measures of the wireless communication network: summing and averaging the communication coefficients TX of all detection points to obtain uniform coefficients, performing variance calculation on the communication coefficients TX of all detection points to obtain distribution coefficients, obtaining a uniform threshold and a distribution threshold through a storage module, and comparing the uniform coefficients and the distribution coefficients with the uniform threshold and the distribution threshold respectively: if the uniformity coefficient is smaller than the uniformity threshold value and the distribution coefficient is smaller than the distribution threshold value, marking the optimization measure of the wireless communication network as integral optimization, generating a channel optimization signal and transmitting the channel optimization signal to an optimization analysis platform, and transmitting the channel optimization signal to a mobile phone terminal of a manager after the optimization analysis platform receives the channel optimization signal; if the uniformity coefficient is greater than or equal to the uniformity threshold value and the distribution coefficient is smaller than the distribution threshold value, marking the optimization measure of the wireless communication network as delay optimization, generating a delay optimization signal and transmitting the delay optimization signal to an optimization analysis platform, transmitting the delay optimization signal to a mobile phone terminal of a manager after the delay optimization signal is received by the optimization analysis platform, and observing the subsequent communication state of the wireless communication network after the delay optimization signal is received by the manager; if the distribution coefficient is greater than or equal to the distribution threshold value, marking the optimization measure of the wireless communication network as local optimization, generating a local analysis signal, transmitting the local analysis signal to an optimization analysis platform, and transmitting the local analysis signal to a local analysis module after the optimization analysis platform receives the local analysis signal; the optimization measures of the wireless communication network are analyzed, the optimization measures of the wireless communication network are marked by the global detection parameters of the wireless communication network, the wireless communication network can be directly subjected to targeted optimization processing according to the marked optimization measures, and the optimization efficiency of the wireless communication network is improved.
The local analysis module is used for carrying out optimization analysis on the local communication state of the wireless communication network: drawing a circle by taking the outlet route as the center of a circle and r1 as the radius to obtain a first analysis area, drawing a circle by taking the outlet route as the center of a circle and 2 x r1 as the radius, marking an annular area formed by the obtained circular area and the first analysis area as a second analysis area, and the like until all detection points are positioned in the analysis area, marking all abnormal points in the analysis area as coverage points of the analysis area, summing and averaging the distance values of all coverage points in the analysis area and the outlet route to obtain a coverage straight distance, marking the ratio of the number of the coverage points in the analysis area to the coverage straight distance as a coverage coefficient, performing variance calculation on the coverage coefficient of all the analysis areas to obtain a delay coefficient, acquiring a delay threshold value through a storage module, and comparing the delay coefficient with the delay threshold value: if the delay coefficient is smaller than the delay threshold, generating a networking optimization signal and sending the networking optimization signal to an optimization analysis platform, sending the networking optimization signal to a mobile phone terminal of a manager after the optimization analysis platform receives the networking optimization signal, and carrying out networking optimization or channel configuration optimization on a wireless communication network after the manager receives the networking optimization signal, so as to strengthen the communication signal of the wireless communication network to a remote coverage area; if the delay coefficient is greater than or equal to the delay threshold, generating a relay optimization signal and sending the relay optimization signal to an optimization analysis platform, sending the relay optimization signal to a mobile phone terminal of a manager after the optimization analysis platform receives the relay optimization signal, and setting a repeater at each abnormal point after the manager receives the relay optimization signal to strengthen regional wireless communication signals; and carrying out optimization analysis on the local communication state of the wireless communication network, obtaining the distribution characteristics of the abnormal points in each distribution area in a regional division mode, marking the local optimization measures of the wireless communication network according to the distribution characteristics, providing different processing measures for different types of communication states, and improving the applicability of the optimization measures.
Example two
As shown in fig. 2, a wireless communication network data optimization method based on data analysis includes the following steps:
step one: detecting and analyzing communication signals of the wireless communication network: setting a plurality of detection points in the coverage area of the wireless communication network, and carrying out communication detection on the detection points at fixed time: obtaining uplink data SX and downlink data XX of a detection point, performing numerical computation to obtain a communication coefficient TX of the detection point, marking the detection point as an abnormal point or an abnormal point through the communication coefficient TX, and judging whether the communication state of the wireless communication network meets the requirement or not through the quantity ratio of the abnormal point in the detection point;
step two: analyzing the optimizing measures of the wireless communication network: summing up and averaging the communication coefficients TX of all detection points to obtain a uniform coefficient, calculating variance of the communication coefficients TX of all detection points to obtain a distribution coefficient, and marking optimization measures of the wireless network through the uniform coefficient and the distribution coefficient;
step three: and carrying out optimization analysis on the local communication state of the wireless communication network, obtaining a plurality of analysis areas, carrying out variance calculation on the coverage coefficients of all the analysis areas to obtain delay coefficients, and marking the local optimization measures of the wireless communication network through the delay coefficients.
A wireless communication network data optimization method based on data analysis, in operation, a plurality of detection points are set in the coverage area of the wireless communication network, and communication detection is carried out on the detection points at fixed time: obtaining uplink data SX and downlink data XX of a detection point, performing numerical computation to obtain a communication coefficient TX of the detection point, marking the detection point as an abnormal point or an abnormal point through the communication coefficient TX, and judging whether the communication state of the wireless communication network meets the requirement or not through the quantity ratio of the abnormal point in the detection point; summing up and averaging the communication coefficients TX of all detection points to obtain a uniform coefficient, calculating variance of the communication coefficients TX of all detection points to obtain a distribution coefficient, and marking optimization measures of the wireless network through the uniform coefficient and the distribution coefficient; and carrying out optimization analysis on the local communication state of the wireless communication network, obtaining a plurality of analysis areas, carrying out variance calculation on the coverage coefficients of all the analysis areas to obtain delay coefficients, and marking the local optimization measures of the wireless communication network through the delay coefficients.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the invention or from the scope of the invention as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: formula tx=α1×sx+α2×xx; collecting a plurality of groups of sample data by a person skilled in the art and setting corresponding communication coefficients for each group of sample data; substituting the set communication coefficient and the acquired sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, and taking an average value to obtain values of alpha 1 and alpha 2 which are respectively 3.21 and 2.62;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding communication coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, for example, the communication coefficient is in direct proportion to the value of the uplink data.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended only to assist in the explanation of the invention. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best understand and utilize the invention. The invention is limited only by the claims and the full scope and equivalents thereof.
Claims (5)
1. The wireless communication network data optimization method based on data analysis is characterized by comprising the following steps:
step one: detecting and analyzing communication signals of the wireless communication network: setting a plurality of detection points in a coverage area of a wireless communication network, carrying out communication detection on the detection points at regular time, acquiring communication coefficients TX of the detection points, marking the detection points as abnormal points or normal points through the communication coefficients TX, and judging whether the communication state of the wireless communication network meets the requirement or not through the number ratio of the abnormal points in the detection points;
step two: analyzing the optimizing measures of the wireless communication network: summing up and averaging the communication coefficients TX of all detection points to obtain a uniform coefficient, calculating variance of the communication coefficients TX of all detection points to obtain a distribution coefficient, and marking optimization measures of the wireless network through the uniform coefficient and the distribution coefficient;
step three: performing optimization analysis on the local communication state of the wireless communication network to obtain a plurality of analysis areas, performing variance calculation on the coverage coefficients of all the analysis areas to obtain delay coefficients, and marking local optimization measures of the wireless communication network through the delay coefficients;
in the second step, the specific process of marking the optimizing measure of the wireless communication network comprises the following steps: the storage module is used for acquiring a uniform threshold value and a distribution threshold value, and comparing the uniform coefficient and the distribution coefficient with the uniform threshold value and the distribution threshold value respectively: if the uniformity coefficient is smaller than the uniformity threshold value and the distribution coefficient is smaller than the distribution threshold value, marking the optimization measure of the wireless communication network as integral optimization, generating a channel optimization signal and transmitting the channel optimization signal to an optimization analysis platform, and transmitting the channel optimization signal to a mobile phone terminal of a manager after the optimization analysis platform receives the channel optimization signal; if the uniformity coefficient is greater than or equal to the uniformity threshold value and the distribution coefficient is smaller than the distribution threshold value, marking the optimization measure of the wireless communication network as delay optimization, generating a delay optimization signal and transmitting the delay optimization signal to an optimization analysis platform, and transmitting the delay optimization signal to a mobile phone terminal of a manager after the delay optimization signal is received by the optimization analysis platform; if the distribution coefficient is greater than or equal to the distribution threshold value, marking the optimization measure of the wireless communication network as local optimization, generating a local analysis signal, transmitting the local analysis signal to an optimization analysis platform, and transmitting the local analysis signal to a local analysis module after the optimization analysis platform receives the local analysis signal;
in the third step, the dividing process of the analysis area includes: drawing a circle by taking the outlet route as the center of a circle and r1 as the radius to obtain a first analysis area, drawing a circle by taking the outlet route as the center of a circle and 2 r1 as the radius, marking an annular area formed by the obtained circular area and the first analysis area as a second analysis area, and the like until all detection points are all positioned in the analysis area;
in the third step, the process of obtaining the coverage coefficient of the analysis area includes: marking all abnormal points in the analysis area as coverage points of the analysis area, summing the distance values of all the coverage points in the analysis area and the exit route, taking an average value to obtain a coverage straight distance, and marking the ratio of the number of the coverage points in the analysis area to the coverage straight distance as a coverage coefficient;
in the third step, the specific process of marking the local optimization measure of the wireless communication network comprises the following steps: acquiring a delay threshold value through a storage module, and comparing a delay coefficient with the delay threshold value: if the delay coefficient is smaller than the delay threshold, generating a networking optimization signal and sending the networking optimization signal to an optimization analysis platform, and sending the networking optimization signal to a mobile phone terminal of a manager after the optimization analysis platform receives the networking optimization signal; if the delay coefficient is greater than or equal to the delay threshold, generating a relay optimization signal and sending the relay optimization signal to an optimization analysis platform, and sending the relay optimization signal to a mobile phone terminal of a manager after the optimization analysis platform receives the relay optimization signal.
2. The method for optimizing data in a wireless communication network according to claim 1, wherein in the step one, the process of obtaining the communication coefficient TX of the detection point includes: acquiring uplink data SX and downlink data XX of a detection point, and performing numerical calculation to obtain a communication coefficient TX of the detection point; the uplink data SX is the minimum value of the uplink speed of the detection point in all the communication transmission channels, and the downlink data XX is the minimum value of the downlink speed of the detection point in all the communication transmission channels.
3. The method for optimizing data in a wireless communication network according to claim 2, wherein in the first step, the specific process of determining whether the communication status of the wireless communication network meets the requirement comprises: marking the ratio of the number of abnormal points to the number of detection points as an abnormal coefficient of the wireless communication network, acquiring an abnormal threshold value through a storage module, and comparing the abnormal coefficient with the abnormal threshold value: if the anomaly coefficient is smaller than the anomaly threshold value, judging that the communication state of the wireless communication network meets the requirement; if the anomaly coefficient is greater than or equal to the anomaly threshold value, judging that the communication state of the wireless communication network does not meet the requirement, generating an optimized analysis signal, sending the optimized analysis signal to an optimized analysis platform, and sending the optimized analysis signal to an optimized analysis module after the optimized analysis platform receives the optimized analysis signal.
4. A method for optimizing data in a wireless communication network based on data analysis according to claim 3, wherein in step one, the specific process of marking the detection point as an abnormal point or a normal point comprises: the communication threshold TXmin is obtained through the storage module, and the communication coefficient TX of the detection point is compared with the communication threshold TXmin: if the communication coefficient TX is smaller than the communication threshold TXmin, judging that the communication state of the detection point does not meet the requirement, and marking the corresponding detection point as an abnormal point; if the communication coefficient TX is greater than or equal to the communication threshold TXmin, determining that the communication state of the detection point meets the requirement, and marking the corresponding detection point as a normal point.
5. The method for optimizing wireless communication network data based on data analysis according to any one of claims 1 to 4, which is applied to a wireless communication network data optimizing system based on data analysis and comprises an optimizing analysis platform, wherein the optimizing analysis platform is in communication connection with a communication detection module, an optimizing analysis module, a local analysis module and a storage module;
the communication detection module is used for detecting and analyzing communication signals of the wireless communication network;
the optimization analysis module is used for analyzing the optimization measures of the wireless communication network;
the local analysis module is used for carrying out optimization analysis on the local communication state of the wireless communication network.
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| WO2009082973A1 (en) * | 2007-12-27 | 2009-07-09 | Huawei Technologies Co., Ltd. | Method, apparatus and system for detecting network coverage |
| CN105187411A (en) * | 2015-08-18 | 2015-12-23 | 福建省海峡信息技术有限公司 | Distributed abnormal detection method for network data stream |
| WO2020063921A1 (en) * | 2018-09-29 | 2020-04-02 | 闻泰通讯股份有限公司 | Wireless network autonomous optimization method, apparatus and device, and medium |
| WO2020125716A1 (en) * | 2018-12-21 | 2020-06-25 | 中兴通讯股份有限公司 | Method for realizing network optimization and related device |
| CN116016274A (en) * | 2022-12-29 | 2023-04-25 | 南京融军建科技有限公司 | Abnormal communication detection method and system |
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