CN-122020417-A - Iron tower health monitoring method and system based on multi-source data fusion

CN122020417ACN 122020417 ACN122020417 ACN 122020417ACN-122020417-A

Abstract

The application discloses an iron tower health monitoring method and system based on multi-source data fusion, which belong to the technical field of iron tower health monitoring and comprise the steps of collecting multi-source heterogeneous data of an iron tower in real time, including deformation monitoring data and meteorological monitoring data. And preprocessing and extracting the characteristics of the multi-source heterogeneous data to obtain multi-source characteristic data. And carrying out multi-source data fusion based on the multi-source characteristic data to obtain characteristic fusion data. And constructing an iron tower health assessment model, training the model and outputting an iron tower health index. And evaluating and early warning the health condition of the iron tower structure based on the iron tower health index. According to the application, space-time alignment and collaborative analysis are carried out on three types of heterogeneous data including Beidou positioning, inclination angle vibration and meteorological data, data preprocessing is carried out through a device end, and data remote transmission is realized by adopting an MQTT protocol. And constructing a multisource data fusion model at the cloud end, and combining Kalman filtering and BP neural network algorithm to realize real-time evaluation and early warning of the health condition of the iron tower structure.

Inventors

LI CHAOYUAN
LIU SHIBAO
WANG HAO
Yu Canying
PI LULU

Assignees

中国铁塔股份有限公司

Dates

Publication Date: 20260512
Application Date: 20260107

Claims (12)

1. A method for monitoring iron tower health based on multi-source data fusion is characterized by comprising the following steps: the method comprises the steps of collecting multisource heterogeneous data of an iron tower in real time, wherein the multisource heterogeneous data comprise deformation monitoring data and meteorological monitoring data; Preprocessing and extracting features of the multi-source heterogeneous data to obtain multi-source feature data; Carrying out multi-source data fusion based on multi-source characteristic data to obtain characteristic fusion data; Constructing an iron tower health assessment model, training the model, and outputting an iron tower health index; And evaluating and early warning the health condition of the iron tower structure based on the iron tower health index.
2. The iron tower health monitoring method based on multi-source data fusion according to claim 1, wherein the deformation monitoring data comprises Beidou positioning data and inclination vibration data.
3. The method for iron tower health monitoring based on multi-source data fusion according to claim 2, wherein the meteorological monitoring data comprises wind speed, wind direction, temperature and air pressure.
4. The iron tower health monitoring method based on multi-source data fusion according to claim 3, wherein the preprocessing and feature extraction of the multi-source heterogeneous data to obtain multi-source feature data further comprises: Carrying out data cleaning and normalization processing on the acquired multi-source heterogeneous data, and carrying out time sequence alignment on the multi-source heterogeneous data based on Beidou time stamps; And extracting displacement rate, vibration dominant frequency, wind load coefficient and inclination angle change gradient from the aligned multi-source heterogeneous data by adopting a sliding window as multi-source characteristic data.
5. The iron tower health monitoring method based on multi-source data fusion according to claim 4, wherein the performing multi-source data fusion based on multi-source feature data to obtain feature fusion data further comprises: and carrying out space-time alignment and error correction on the multi-source characteristic data by adopting a Kalman filtering algorithm, and outputting a fusion state vector.
6. The iron tower health monitoring method based on multi-source data fusion according to claim 1, wherein the constructing an iron tower health assessment model and training the model, outputting an iron tower health index further comprises: constructing an iron tower health assessment model based on a BP neural network, and training the iron tower health assessment model by taking the marked iron tower history monitoring data as a training set; And inputting the feature fusion data into a trained iron tower health assessment model, and outputting an iron tower health index.
7. The iron tower health monitoring method based on multi-source data fusion according to claim 1, wherein the evaluating and pre-warning the iron tower structure health status based on the iron tower health index further comprises: Comparing the iron tower health index with a preset threshold value, judging that the iron tower structure is normal in health state if the iron tower health index is more than or equal to 0.7, and updating a database; If the iron tower health index is between 0.4 and 0.7, prompting that the iron tower structure is bad in health state; if the iron tower health index is less than 0.4, judging that the iron tower structure health state is abnormal, and triggering a multi-stage early warning mechanism.
8. Iron tower health monitoring system based on multisource data fusion, characterized by comprising: The data acquisition module is used for acquiring multisource heterogeneous data of the iron tower in real time, and comprises deformation monitoring data and meteorological monitoring data, wherein the deformation monitoring data comprise Beidou positioning data and inclination angle vibration data, and the meteorological monitoring data comprise wind speed, wind direction, temperature and air pressure; The data processing and feature extraction module is used for preprocessing and feature extraction of the multi-source heterogeneous data to obtain multi-source feature data; the multi-source data fusion module is used for carrying out multi-source data fusion based on multi-source characteristic data to obtain characteristic fusion data; the model construction and training module is used for constructing an iron tower health assessment model and training the model and outputting an iron tower health index; And the state evaluation and early warning module is used for evaluating and early warning the health condition of the iron tower structure based on the iron tower health index.
9. The iron tower health monitoring system based on multi-source data fusion of claim 8, wherein the data processing and feature extraction module further comprises: The data processing module is used for carrying out data cleaning and normalization processing on the collected multi-source heterogeneous data and carrying out time sequence alignment on the multi-source heterogeneous data based on the Beidou time stamp; the characteristic extraction module is used for extracting displacement rate, vibration dominant frequency, wind load coefficient and inclination angle change gradient from the aligned multi-source heterogeneous data by adopting a sliding window to serve as multi-source characteristic data.
10. The iron tower health monitoring system based on multi-source data fusion of claim 8, wherein the model building and training module further comprises: The model construction module is used for constructing an iron tower health assessment model based on the BP neural network, and training the iron tower health assessment model by taking the marked iron tower historical monitoring data as a training set; the model training module is used for inputting the feature fusion data into the trained iron tower health assessment model and outputting an iron tower health index.
11. An electronic device comprising a processor and a memory, wherein the memory stores a computer program, and the computer program is loaded and executed by the processor to implement the iron tower health monitoring method based on multi-source data fusion according to any one of claims 1 to 7.
12. A computer readable storage medium, wherein a computer program is stored in the computer readable storage medium, and the computer program is loaded and executed by a processor to implement the iron tower health monitoring method based on multi-source data fusion according to any one of the preceding claims 1 to 7.

Description

Iron tower health monitoring method and system based on multi-source data fusion Technical Field The application belongs to the technical field of iron tower health monitoring, and particularly relates to an iron tower health monitoring method and system based on multi-source data fusion. Background Large-scale high-rise structures such as communication towers and electric power towers are important infrastructure, are exposed in natural environments for a long time and are influenced by various factors such as strong wind, earthquake, foundation settlement and material aging, and the structural health condition is directly related to public safety and stability of a communication network. Therefore, real-time and accurate safety monitoring of the iron tower is important. At present, the traditional iron tower monitoring means mainly depend on manual periodic inspection and an automatic monitoring scheme based on a single type of sensor (such as a stress meter), and the methods have obvious limitations and cannot meet the modern and intelligent monitoring requirements. For example, patent application CN119573910a discloses a power transmission tower safety monitoring and early warning device, which uses the characteristic that the fiber bragg grating sensor is corrosion resistant and is not easy to radiate from the surrounding environment, uses the fiber bragg grating sensor as a temperature sensor and a stress sensor of the power transmission tower, collects a first central wavelength caused by temperature change and a second central wavelength caused by stress strain, calculates a current temperature change value and a stress strain value according to the first central wavelength and the second central wavelength, and finally early warns the outside according to the temperature change value and the stress strain value. The device is limited to a fiber grating sensor, only obtains the stress condition of the iron tower, and has single data source. In this case, the stress cannot accurately reflect the deformation result, and finally the safe state of the iron tower cannot be obtained exactly. Patent application CN118153323B discloses a method and a device for monitoring stress conditions of a power transmission tower, which are based on an established simulation structure model of the power transmission tower, monitor and analyze the stress state of the power transmission tower, and quickly and accurately discover the condition that the foundation of the power transmission tower is corroded due to the thickness change of a basic protection layer by combining the actual condition of an actual scene, and realize monitoring in a remote mode. The method is limited to the stress of the iron tower, the deformation result cannot be accurately reflected, and finally the safety state of the iron tower cannot be accurately obtained. In summary, the existing iron tower health monitoring scheme has the following defects that 1) the data dimension is single, and the comprehensive risk of the iron tower affected by environmental factors (such as strong wind and earthquake) cannot be comprehensively estimated. 2) The monitoring content cannot directly reflect the iron tower change. 3) The lack of real-time data transmission and remote control capability is inefficient in maintenance. 4) The data analysis relies on manual experience and lacks an intelligent early warning mechanism. Disclosure of Invention In order to solve the problems, the invention provides a method and a system for monitoring the health of an iron tower based on multi-source data fusion, which are used for solving the problems that the dimension of the monitoring data of the existing iron tower is single, the monitoring content cannot directly reflect the change of the iron tower, the data analysis depends on manual experience, an intelligent early warning mechanism is lacking, and further the risk of the structure of the iron tower is difficult to accurately predict. A method for monitoring iron tower health based on multi-source data fusion comprises the following steps: the method comprises the steps of collecting multisource heterogeneous data of an iron tower in real time, wherein the multisource heterogeneous data comprise deformation monitoring data and meteorological monitoring data; Preprocessing and extracting characteristics of the multi-source heterogeneous data to obtain multi-source characteristic data; Carrying out multi-source data fusion based on multi-source characteristic data to obtain characteristic fusion data; Constructing an iron tower health assessment model, training the model, and outputting an iron tower health index; And evaluating and early warning the health condition of the iron tower structure based on the iron tower health index. According to a specific embodiment of the invention, the deformation monitoring data comprise Beidou positioning data and inclination vibration data. According to one embodiment of the inventi