CN-122015763-A - Port and dock foundation settlement real-time monitoring and abnormality alarm system

CN122015763ACN 122015763 ACN122015763 ACN 122015763ACN-122015763-A

Abstract

The invention relates to the technical field of port and dock engineering, in particular to a real-time monitoring and abnormal alarm system for foundation settlement of a port and dock. According to the real-time monitoring and abnormal alarming system for the foundation settlement of the port and the wharf, through realizing real-time transmission and efficient processing of monitoring data, the related judgment of settlement trend is obtained by means of data training and analysis, abnormal conditions are rapidly identified, and through visual display and alarming prompt, related personnel can timely master the dynamic change of the foundation, so that targeted countermeasures can be conveniently taken in time, the possibility of structural deformation cracking and even failure is reduced, and the safety and stability of the port and the wharf structure are ensured.

Inventors

WU SHUANGLAN
LIAO LI
LI CHENGCHENG
YANG YONG
ZHUANG HAIYANG
CHEN GUOXING

Assignees

南京工业大学
天津城建大学

Dates

Publication Date: 20260512
Application Date: 20260203

Claims (8)

1. The real-time monitoring and abnormal alarming system for the foundation settlement of the port and the wharf is characterized by comprising a multi-sensor monitoring module, a data acquisition and transmission module, a data processing and analysis module and an alarming visualization module; The multi-sensor monitoring module is electrically connected with the data acquisition and transmission module; The data acquisition and transmission module is in communication connection with the data processing and analysis module; the data processing analysis module is electrically connected with the alarm visualization module.
2. The real-time monitoring and abnormal alarming system for foundation settlement of a port and a wharf according to claim 1, wherein the multi-sensor monitoring module comprises a laser displacement sensor, an MEMS inclination sensor, a triaxial accelerometer and an electrochemical corrosion potential sensor, wherein the laser displacement sensor, the MEMS inclination sensor, the triaxial accelerometer and the electrochemical corrosion potential sensor are electrically connected with the data acquisition and transmission module through wires, the arrangement interval is 10-20 m, and the arrangement positions are key parts of a wharf pile foundation and a quay wall.
3. The real-time monitoring and abnormality alarming system for foundation settlement of a port and a wharf according to claim 1, wherein the data acquisition and transmission module comprises an STM32 microcontroller and a communication unit, the STM32 microcontroller is integrated with an ADC module, the communication unit supports 5G, loRa and NB-IoT communication modes, the ADC module is electrically connected with the multi-sensor monitoring module, and the communication unit is in communication connection with the data processing analysis module.
4. The real-time monitoring and abnormality alarming system for foundation settlement of a port and a wharf according to claim 1, wherein the data processing and analyzing module comprises an edge calculating unit and a cloud analyzing platform, wherein the edge calculating unit is RaspberryPi or JetsonNano, the cloud analyzing platform deploys an LSTM neural network model and a finite element model, the edge calculating unit is in communication connection with the data acquisition and transmission module, the cloud analyzing platform is in data interaction with the edge calculating unit, and input data of the finite element model comprise vibration response data, settlement monitoring data and corrosion rate data.
5. The real-time monitoring and abnormality alarming system for foundation settlement of a port and a wharf according to claim 1, wherein the alarming visualization module comprises an audible and visual alarming device and a three-dimensional visualization interface, the three-dimensional visualization interface is based on WebGL technology and integrates a GIS system, the audible and visual alarming device is electrically connected with the data processing analysis module, and the three-dimensional visualization interface is in data intercommunication with a cloud analysis platform.
6. The real-time monitoring and abnormality alarming system for foundation settlement of a port and a wharf according to claim 1, wherein the sampling frequency of the STM32 microcontroller is adjusted to be 1 Hz-100 Hz, the sampling frequency is adjusted through interaction between a data acquisition and transmission module and an alarm visualization module, and sampling data is converted by an ADC module and then transmitted by a communication unit.
7. The real-time monitoring and abnormal alarming system for foundation settlement of a port and a wharf according to claim 1, wherein the triggering condition of the audible and visual alarming device is related to a settlement rate value and an inclination angle value, and when the settlement rate value is larger than 2 mm/day or the inclination angle value is larger than 0.5 degrees, the audible and visual alarming device is started, and alarming information is synchronized to a three-dimensional visual interface.
8. The real-time monitoring and abnormal alarming system for foundation settlement of a port and a wharf of claim 1 is characterized in that the LSTM neural network model is trained based on historical settlement monitoring data, settlement trend predicted values are output, and data output ends of the finite element model and the LSTM neural network model are connected with an alarm visualization module to realize real-time feedback of data.

Description

Port and dock foundation settlement real-time monitoring and abnormality alarm system Technical Field The invention relates to the technical field of port and dock engineering, in particular to a real-time monitoring and abnormality alarming system for foundation settlement of a port and dock. Background The port and dock is used as a core hub of the amphibious transportation, is a key support for regional logistics transportation and trade business, and the structural safety and stability of the port and dock are directly related to national economic development and personnel and property safety. The foundation settlement is one of key factors influencing the safety of a wharf structure, and can possibly cause structural deformation, cracking and even failure, and the existing foundation settlement monitoring method is mostly dependent on a single sensor, and has the problems of low monitoring precision, poor real-time performance, incapability of comprehensively analyzing multi-disaster coupling effect and the like. In addition, the corrosive environment of the dock foundation further exacerbates the risk of settling anomalies. Therefore, there is a need for an integrated monitoring and alarm system Disclosure of Invention The invention aims to solve the problems pointed out in the background art, and provides a real-time monitoring and abnormality alarming system for foundation settlement of a port and a wharf. In order to achieve the aim, the invention adopts the following technical scheme that the real-time monitoring and abnormality alarming system for foundation settlement of a port and a wharf comprises a multi-sensor monitoring module, a data acquisition and transmission module, a data processing and analysis module and an alarm visualization module; The multi-sensor monitoring module is electrically connected with the data acquisition and transmission module; The data acquisition and transmission module is in communication connection with the data processing and analysis module; the data processing analysis module is electrically connected with the alarm visualization module. Preferably, the multi-sensor monitoring module comprises a laser displacement sensor, an MEMS inclination sensor, a triaxial accelerometer and an electrochemical corrosion potential sensor, wherein the laser displacement sensor, the MEMS inclination sensor, the triaxial accelerometer and the electrochemical corrosion potential sensor are electrically connected with the data acquisition and transmission module through wires, the arrangement interval is 10-20 m, and the arrangement positions are key parts of a wharf pile foundation and a quay wall. Preferably, the data acquisition and transmission module comprises an STM32 microcontroller and a communication unit, the STM32 microcontroller integrates an ADC module, the communication unit supports 5G, loRa and NB-IoT communication modes, the ADC module is electrically connected with the multi-sensor monitoring module, and the communication unit is in communication connection with the data processing analysis module. Preferably, the data processing and analyzing module comprises an edge calculating unit and a cloud analyzing platform, wherein the edge calculating unit adopts RaspberryPi or JetsonNano, the cloud analyzing platform deploys an LSTM neural network model and a finite element model, the edge calculating unit is in communication connection with the data acquisition and transmission module, the cloud analyzing platform is in data interaction with the edge calculating unit, and input data of the finite element model comprise vibration response data, settlement monitoring data and corrosion rate data. Preferably, the alarm visualization module comprises an audible and visual alarm device and a three-dimensional visualization interface, wherein the three-dimensional visualization interface is based on the WebGL technology and integrates a GIS system, the audible and visual alarm device is electrically connected with the data processing analysis module, and the three-dimensional visualization interface is in data intercommunication with the cloud analysis platform. Preferably, the sampling frequency of the STM32 microcontroller is adjusted within a range of 1 Hz-100 Hz, the sampling frequency is adjusted through interaction between the data acquisition and transmission module and the alarm visualization module, and the sampling data is converted by the ADC module and then transmitted by the communication unit. Preferably, the triggering condition of the audible and visual alarm device is related to a settlement rate value and an inclination angle value, and when the settlement rate value is larger than 2 mm/day or the inclination angle value is larger than 0.5 degrees, the audible and visual alarm device is started, and alarm information is synchronized to a three-dimensional visual interface. Preferably, the LSTM neural network model is trained based on historical settlemen