NB-IoT transmission mode-based antenna attitude measurement system and method

Abstract

The present invention provides an NB-IoT transmission mode-based antenna attitude measurement system and method. The system comprises a terminal data acquisition unit, a data processing unit and a display application unit which are connected with one another sequentially; the terminal data acquisition unit comprises a data acquisition module as well as a wired data link transmission module and a wireless data link transmission module which are connected with the data acquisition module; the data processing unit comprises an early warning data processing module and a database module; and the display application unit comprises a monitoring platform and an instruction sending module. According to the NB-IoT transmission mode-based antenna attitude measurement system and method of the invention, an antenna calibration and positioning magnetic field detection system, a data collection real-time reporting system and other systems are built, so that antenna attitude working parameters are monitored in real time, manual control can be performed at any time according to actual situations, antenna attitude deviation caused by misoperation or natural disasters can be decreased to the greatest extent or can be avoided, and losses can be avoided.

Description

technical field [0001] The invention belongs to the field of base station antenna attitude monitoring and measurement, and in particular relates to an antenna attitude measurement system and method based on NB-IoT transmission mode. Background technique [0002] At present, base station antenna attitude parameters, such as azimuth angle, pitch angle, roll angle, hanging height and other parameters, are mainly measured by traditional manual measurement on the tower, manual input, manual summary, measurement is inaccurate, error-prone, and controllability is not strong and other shortcomings, and it is impossible to detect the abnormal situation of the antenna attitude in time. And when background network optimization inspectors operate and use the background management system, multi-platform system operations often occur, resulting in poor office timeliness, error-prone or improper management. Most of the existing methods are on-site measurement by hand-held measuring instru...

AI Technical Summary

Problems solved by technology

[0002] At present, base station antenna attitude parameters, such as azimuth angle, pitch angle, roll angle, hanging height and other parameters, are mainly measured by traditional manual measurement on the tower, manual input, manual summary, measurement is inaccurate, error-prone, and controllability is not strong and other shortcomings, and it is impossible to detect the abnormal situation of the antenna attitude in time

And when the background network optimization inspectors operate the background management system, they often have multi-platform system operations, resulting in poor office timeliness, error-prone or improper management

Most of the existing methods are on-site measurement by hand-held measuring instruments. Although it solves the problems of human measurement errors, manual on-site collection is required, which consumes a lot of manpower, material resources, and financial resources, increases the risk factor of high-altitude operations, and cannot be real-time. monitoring, warning

With the existing antennas and installation points, there may be problems with equipment compatibility and network coverage. After all, using a single communication method cannot meet the measurable requirements of all antennas.

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