CN-122028087-A - Wireless network operation and maintenance method and device

CN122028087ACN 122028087 ACN122028087 ACN 122028087ACN-122028087-A

Abstract

The invention discloses a wireless network operation and maintenance method and device, wherein the method comprises the steps of generating a test plan according to a task type, controlling an unmanned aerial vehicle carrying test equipment to execute tasks according to the test plan, controlling the unmanned aerial vehicle to fly along a preset diagnosis route of a railway line when a network state diagnosis task is executed, collecting field intensity data and service quality data of a wireless network through the test equipment, carrying out network state diagnosis based on the collected field intensity data and service quality data to obtain a diagnosis result, controlling the unmanned aerial vehicle to fly to an initial detection position according to the preset detection route when an interference source positioning task is executed, collecting radio data of the position of the unmanned aerial vehicle through the test equipment, determining interference signal intensity distribution to determine an interference direction, and controlling the unmanned aerial vehicle to fly to a next detection position from the initial detection position along the interference direction. The invention can realize intelligent diagnosis of the wireless network state and improve the accuracy of positioning the interference source.

Inventors

JIANG SHANGYAN
LI RUNLEI
LIU JINGYUAN
SHAO QI
YANG JINSONG
LIU GUOYUE

Assignees

中国铁道科学研究院集团有限公司
中国铁道科学研究院集团有限公司基础设施检测研究所
北京铁科英迈技术有限公司

Dates

Publication Date: 20260512
Application Date: 20260126

Claims (13)

1. A method of wireless network operation, comprising: generating a test plan according to task types, wherein the task types comprise a network state diagnosis task and an interference source positioning task; controlling the unmanned aerial vehicle carrying the test equipment to execute tasks according to the test plan; When a network state diagnosis task is executed, controlling the unmanned aerial vehicle to fly along a preset diagnosis route of a railway line so as to simulate a train running track, and collecting field intensity data and service quality data of a wireless network through test equipment; When an interference source positioning task is executed, controlling the unmanned aerial vehicle to fly to an initial detection position according to a preset detection route, and iteratively executing the following steps until a positioning condition is met, wherein radio data of the position of the unmanned aerial vehicle is collected through a directional antenna in test equipment, interference signal intensity distribution is determined based on the radio data to determine an interference direction, the unmanned aerial vehicle is controlled to fly to a next detection position from the initial detection position along the interference direction, and when the positioning condition is met, the current detection position is determined to be the position of the interference source.
2. The method of claim 1, wherein controlling the unmanned aerial vehicle to fly along a predetermined diagnostic route of the rail line to simulate a train trajectory comprises: the method comprises the steps of controlling a test antenna carried by an unmanned aerial vehicle to maintain a set ground height and a set direction, wherein the ground height is consistent with the installation height of a roof antenna of a running train, and the direction is consistent with the tangential direction of the flight direction of the unmanned aerial vehicle.
3. The method of claim 1, wherein performing a network condition diagnosis based on the collected field strength data and quality of service data to obtain a diagnosis result comprises: acquiring a trend component representing the gain characteristic of the repeater based on field intensity data by adopting an empirical mode decomposition algorithm; And analyzing the change characteristics of the trend component, and judging that the network coverage of the repeater is normal when a local maximum value exists in the trend component, or judging that the network coverage is abnormal.
4. The method of claim 1, wherein determining an interference signal strength profile based on radio data to determine an interference direction comprises: calculating a spatial distribution of interference signal strength at the current probe location based on the radio data; Performing sweep frequency decoding on the radio data to analyze the characteristic information of the interference signal source; And determining the interference direction according to the spatial distribution and the characteristic information.
5. The method of claim 1, wherein the positioning conditions comprise at least one of: The spatial gradient change of the interference signal intensity acquired by the unmanned aerial vehicle at a plurality of detection positions continuously flying against is smaller than a preset change threshold value, and/or, The unmanned aerial vehicle is in a plurality of detection positions that fly up in succession, and the interference signal source characteristic information that obtains through the sweep frequency decoding keeps unanimous.
6. A wireless network operation and maintenance device, comprising: the test plan generation module is used for generating a test plan according to task types, wherein the task types comprise a network state diagnosis task and an interference source positioning task; the test plan execution module is used for controlling the unmanned aerial vehicle carrying the test equipment to execute tasks according to the test plan; When a network state diagnosis task is executed, controlling the unmanned aerial vehicle to fly along a preset diagnosis route of a railway line so as to simulate a train running track, and collecting field intensity data and service quality data of a wireless network through test equipment; When an interference source positioning task is executed, controlling the unmanned aerial vehicle to fly to an initial detection position according to a preset detection route, and iteratively executing the following steps until a positioning condition is met, wherein radio data of the position of the unmanned aerial vehicle is collected through a directional antenna in test equipment, interference signal intensity distribution is determined based on the radio data to determine an interference direction, the unmanned aerial vehicle is controlled to fly to a next detection position from the initial detection position along the interference direction, and when the positioning condition is met, the current detection position is determined to be the position of the interference source.
7. The apparatus of claim 6, wherein the test plan execution module comprises a network status diagnostic unit, in particular for: the method comprises the steps of controlling a test antenna carried by an unmanned aerial vehicle to maintain a set ground height and a set direction, wherein the ground height is consistent with the installation height of a roof antenna of a running train, and the direction is consistent with the tangential direction of the flight direction of the unmanned aerial vehicle.
8. The apparatus of claim 6, wherein the network status diagnostic unit is configured to: acquiring a trend component representing the gain characteristic of the repeater based on field intensity data by adopting an empirical mode decomposition algorithm; And analyzing the change characteristics of the trend component, and judging that the network coverage of the repeater is normal when a local maximum value exists in the trend component, or judging that the network coverage is abnormal.
9. The apparatus of claim 6, wherein the test plan execution module comprises an interferer location unit, in particular for: calculating a spatial distribution of interference signal strength at the current probe location based on the radio data; Performing sweep frequency decoding on the radio data to analyze the characteristic information of the interference signal source; And determining the interference direction according to the spatial distribution and the characteristic information.
10. The apparatus of claim 6, wherein the positioning conditions comprise at least one of: The spatial gradient change of the interference signal intensity acquired by the unmanned aerial vehicle at a plurality of detection positions continuously flying against is smaller than a preset change threshold value, and/or, The unmanned aerial vehicle is in a plurality of detection positions that fly up in succession, and the interference signal source characteristic information that obtains through the sweep frequency decoding keeps unanimous.
11. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 1 to 5 when executing the computer program.
12. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program which, when executed by a processor, implements the method of any of claims 1 to 5.
13. A computer program product, characterized in that the computer program product comprises a computer program which, when executed by a processor, implements the method of any of claims 1 to 5.

Description

Wireless network operation and maintenance method and device Technical Field The present invention relates to the field of wireless communications technologies, and in particular, to a wireless network operation and maintenance method and device. Background With the increase of railway operation mileage, the operation and maintenance guarantee of the GSM-R wireless network faces tremendous pressure. At present, network maintenance mainly depends on detection trains which are started at regular intervals and manual boarding operation trains for testing. The traditional methods have long test interval and high labor cost, are limited by train running time, and are difficult to realize flexible and efficient daily monitoring. More importantly, the existing method is difficult to accurately reflect the real network environment when the train actually runs. The antenna type, installation position and height used for testing cannot always be consistent with those of an operating train, so that inherent deviation exists in the acquired wireless signal data. Network optimization and fault judgment are carried out according to the data, and the accuracy and reliability of the network optimization and fault judgment are difficult to guarantee. The troubleshooting effort is particularly difficult when there is an unknown interference in the network. At present, maintenance personnel carry equipment to search the ground on foot in suspected areas, the efficiency is low, and the equipment can hardly be developed in mountain areas, bridges, tunnels and other special terrain areas. This makes some sources of interference exist for a long time, which constitutes a potential threat to driving safety. In addition, the fault location of the base station iron tower is related, personnel are traditionally required to climb the iron tower to operate, the risk is high, the limitation of weather and environmental conditions is large, and the fault location is a prominent difficulty in operation and maintenance work. The prior art can not meet the intelligent diagnosis requirement of the wireless network state and the accuracy requirement of the interference source positioning. Therefore, there is a need for a wireless network operation and maintenance method that solves the above-mentioned problems. Disclosure of Invention The embodiment of the invention provides a wireless network operation and maintenance method, which is used for realizing intelligent diagnosis of wireless network states, improving the positioning accuracy of interference sources and overcoming the inherent defects of low manual investigation efficiency and high risk, and the method comprises the following steps: generating a test plan according to task types, wherein the task types comprise a network state diagnosis task and an interference source positioning task; controlling the unmanned aerial vehicle carrying the test equipment to execute tasks according to the test plan; When a network state diagnosis task is executed, controlling the unmanned aerial vehicle to fly along a preset diagnosis route of a railway line so as to simulate a train running track, and collecting field intensity data and service quality data of a wireless network through test equipment; When an interference source positioning task is executed, controlling the unmanned aerial vehicle to fly to an initial detection position according to a preset detection route, and iteratively executing the following steps until a positioning condition is met, wherein radio data of the position of the unmanned aerial vehicle is collected through a directional antenna in test equipment, interference signal intensity distribution is determined based on the radio data to determine an interference direction, the unmanned aerial vehicle is controlled to fly to a next detection position from the initial detection position along the interference direction, and when the positioning condition is met, the current detection position is determined to be the position of the interference source. The embodiment of the invention also provides a wireless network operation and maintenance device, which is used for realizing intelligent diagnosis of the wireless network state, improving the positioning accuracy of an interference source and overcoming the inherent defects of low manual investigation efficiency and high risk, and the device comprises: the test plan generation module is used for generating a test plan according to task types, wherein the task types comprise a network state diagnosis task and an interference source positioning task; the test plan execution module is used for controlling the unmanned aerial vehicle carrying the test equipment to execute tasks according to the test plan; When a network state diagnosis task is executed, controlling the unmanned aerial vehicle to fly along a preset diagnosis route of a railway line so as to simulate a train running track, and collecting field intensity data an