A sensor system for monitoring port infrastructure performance

Through the integrated sensing measurement module and data analysis module, the chloride ion, strain, vibration and wave height sensors are used for all-round monitoring, which solves the problems of low data acquisition efficiency and incomplete coverage of the port infrastructure performance monitoring system, and achieves more accurate and Efficient performance evaluation.

CN118913752BActive Publication Date: 2025-01-14TIANJIN RES INST FOR WATER TRANSPORT ENG M O T
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Patent Information

Application Number
CN202411414927.X
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-10-11
Publication Date
2025-01-14
Estimated Expiration
2044-10-11

AI Technical Summary

Technical Problem

The existing port infrastructure performance monitoring sensor system has problems such as low data acquisition efficiency, incomplete monitoring system coverage and lack of scientific basis for sensor selection.

Method used

A port infrastructure performance monitoring sensor system integrating sensing measurement module, data processing module, calibration module and data analysis module is designed, using chloride ion sensor, strain sensor, vibration sensor and wave height sensor for all-round monitoring, and through science The evaluation method calculates the evaluation value and provides a more comprehensive performance evaluation.

Benefits of technology

It improves the accuracy and comprehensiveness of monitoring, significantly improves data acquisition efficiency, reduces operating costs, enhances insight into changes in port infrastructure performance, and improves the reliability and practicality of evaluation results.

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Abstract

The present invention proposes a port infrastructure performance monitoring sensor system, which relates to the technical field of intelligent monitoring systems. Aiming at the technical problems of low data collection efficiency, incomplete coverage of the monitoring system, and lack of scientific basis for sensor selection in the existing port infrastructure performance monitoring sensor system, the present invention integrates the sensor measurement module, data processing module, calibration module, transmission module and data analysis module into a unified monitoring system, selects chloride ion sensors, strain sensors, vibration sensors and wave height sensors according to the data requirements of the port infrastructure to be monitored, and the system can more comprehensively monitor the performance of the port infrastructure, and designs a scientific evaluation value calculation method to provide a more comprehensive performance evaluation, thereby improving the accuracy of prediction and diagnosis.
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Description

Technical Field

[0001] The present invention relates to the technical field of intelligent monitoring systems, and in particular to a port infrastructure performance monitoring sensor system. Background Art

[0002] With the continuous development of global trade, ports, as important logistics hubs, have become particularly important in improving their management and operational efficiency. The application of the Internet of Things and sensor technology in ports is gradually expanding, bringing significant improvements to port management and operational efficiency. The application of these technologies enables ports to monitor the flow of goods, the status of equipment and operational efficiency in real time, providing strong technical support for the sustainable development of ports.

[0003] Although port infrastructure performance monitoring technology has made some progress, there are still some shortcomings:

[0004] 1. Low data collection efficiency: Existing data collection is mostly done manually on-site and then analyzed in the laboratory, resulting in poor real-time data and low efficiency;

[0005] 2. Incomplete monitoring system: Existing port infrastructure performance monitoring sensor systems often only establish monitoring systems for one or several sensors. The test results are not comprehensive, and no joint analysis is performed on the data from different sensors. The use of multiple systems leads to high costs and poor data linkage.

[0006] 3. Lack of scientific basis for the selection of sensor types: There is a lack of sufficient scientificity and systematicity in the selection of sensors, which may lead to the monitoring results being inaccurate or incomplete.

[0007] In summary, there is currently a lack of a sensor system that can collect data in real time, test comprehensive data, and has strong data linkage performance. Summary of the invention

[0008] The present invention provides a port infrastructure performance monitoring sensor system to solve the technical problems of low data collection efficiency, incomplete monitoring system coverage and lack of scientific basis for sensor selection in the existing port infrastructure performance monitoring sensor system.

[0009] A port infrastructure performance monitoring sensor system specifically includes the following modules:

[0010] The sensor measurement module is used to obtain the real-time monitoring data collected by the performance monitoring sensors of each port infrastructure, specifically including: a structural durability monitoring module, which is used to measure the seawater salinity data of the installation location of the port infrastructure to be tested through a chloride ion sensor; a structural dynamic response monitoring module, which is used to measure the vibration data of the port infrastructure to be tested through a vibration sensor and the strain data of the port infrastructure to be tested through a strain sensor; a water surface motion monitoring module, which is used to measure the wave height data of the installation location of the port infrastructure to be tested through a wave height sensor;

[0011] The data analysis module is used to evaluate and analyze the performance of each port infrastructure to be tested based on the obtained real-time monitoring data, the service life and expected service life of the port infrastructure to be tested, and obtain evaluation results.

[0012] Furthermore, the system also includes:

[0013] A data processing module, connected to the sensor measurement module, for processing the data collected by the performance monitoring sensor, wherein the data processing includes data cleaning and denoising;

[0014] A calibration module, connected to the sensor measurement module, for calibrating the data collected by each performance monitoring sensor;

[0015] The transmission module is connected to the calibration module and is used to transmit the calibrated monitoring data to the data analysis module.

[0016] Furthermore, the chloride ion sensor, the strain sensor, and the vibration sensor are installed on the back wave side of the port infrastructure to be tested, and the wave height sensor is installed on the front wave side of the port infrastructure to be tested.

[0017] Furthermore, in the data analysis module, the method for obtaining the evaluation results is:

[0018] Step S1, grouping the calibrated monitoring data to obtain the monitoring data of the chloride ion sensor, strain sensor, vibration sensor and wave height sensor of each port infrastructure to be monitored; the monitoring data is the real-time monitoring data after data processing and calibration;

[0019] Step S2, calculating an evaluation value according to the service life, expected service life and sensor monitoring data of the port infrastructure to be monitored;

[0020] Step S3, obtaining an evaluation result by comparing the evaluation value with a preset threshold.

[0021] Furthermore, the evaluation value calculation formula is as follows:

[0022] ;

[0023] Among them, N sensor is the type of sensors for monitoring the performance of port infrastructure, ω i is the weight of the i-th type of sensor, S Ci is the comprehensive value of the i-th type of sensor, S imax is the upper limit value of the measurement of the i-th type of sensor, S Cj is the comprehensive value of the j-th type of sensor, S jmax is the upper limit value of the measurement of the j-th type of sensor, ρ ij is the correlation coefficient between the i-th type of sensor and the j-th type of sensor, and Y is the durability coefficient of the port infrastructure to be monitored.

[0024] Furthermore, the calculation formula for the comprehensive value of the sensor is as follows:

[0025] ;

[0026] Among them, S Ci is the comprehensive value of the i-th type of sensor, N normal is the number of sensors that measure normal values among the i-th type of sensors, ω normal is the weight of the normal value, S im is the measurement value of the m-th sensor of the i-th type, N abnormal is the number of sensors that measure abnormal values among the i-th type of sensors, ω abnormal is the weight of the abnormal value, S in is the measurement value of the n-th sensor of the i-th type.

[0027] Furthermore, the calculation formula for the durability coefficient Y of the port infrastructure to be monitored is:

[0028] ;

[0029] Among them, y 0 is the expected service life of the port infrastructure to be monitored, y is the service life of the port infrastructure to be monitored.

[0030] Furthermore, in the step S3, by comparing the evaluation value with the preset threshold, the evaluation result is obtained, specifically:

[0031] If A ≤ A1, then the port infrastructure to be measured is in the normal service period;

[0032] If A1 < A ≤ A2, then the port infrastructure to be measured is in the performance decline period and needs to strengthen monitoring;

[0033] If A2 < A ≤ A3, then the port infrastructure to be measured is in the critical maintenance period and needs to be maintained;

[0034] If A>A3, the port infrastructure to be tested is in the service termination period and cannot be used any more;

[0035] Wherein, A is the evaluation value, A1 is the first threshold, A2 is the second threshold, and A3 is the third threshold.

[0036] Compared with the prior art, the beneficial effects of the present invention are:

[0037] First, the present invention improves the accuracy and comprehensiveness of monitoring. According to the data types that need to be monitored in port infrastructure, chloride ion sensors, strain sensors, vibration sensors and wave height sensors are selected. The system can monitor the performance of port infrastructure from different aspects, including structural durability, dynamic response and water surface tracking, thus providing rich and reliable data for performance evaluation.

[0038] Secondly, the present invention significantly improves data collection efficiency and optimizes costs. By integrating multiple sensors into a unified monitoring system, the reliance on multiple independent systems is reduced, reducing system complexity and operating costs. At the same time, the integrated system simplifies the data management and analysis process and improves the real-time and automation of monitoring.

[0039] Third, the invention enhances insight into changes in port infrastructure performance. By jointly analyzing data from different sensors, the system is able to provide a more comprehensive performance assessment and reveal problems that a single sensor may not be able to detect, thereby improving the accuracy of prediction and diagnosis.

[0040] Fourthly, the present invention improves the reliability and practicality of the evaluation results. By adopting a scientific evaluation method, combined with sensor monitoring data, service life and expected service life, the system can provide accurate performance evaluation and help managers make more informed maintenance and repair decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] In order to more clearly illustrate the specific implementation methods of the present invention or the technical solutions in the prior art, the drawings required for use in the specific implementation methods or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some implementation methods of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0042] Figure 1 It is a structural diagram of a sensor system for monitoring performance of port infrastructure;

[0043] Figure 2 This is a flow chart of a method for obtaining evaluation results in an embodiment of the present invention. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work belong to the scope of protection of the present invention.

[0045] The specific implementation of the present invention is described below with reference to the accompanying drawings.

[0046] In view of the technical problems of low data collection efficiency, incomplete monitoring system coverage and lack of scientific basis for sensor selection in the existing port infrastructure performance monitoring sensor system, the present invention proposes a port infrastructure performance monitoring sensor system, which integrates the sensor measurement module, data processing module, calibration module, transmission module and data analysis module into a unified monitoring system, selects chloride ion sensors, strain sensors, vibration sensors and wave height sensors according to the data requirements for port infrastructure monitoring, and can comprehensively monitor the performance of port infrastructure. A scientific evaluation value calculation method is designed to provide a more comprehensive performance evaluation, thereby improving the accuracy of prediction and diagnosis.

[0047] like Figure 1 As shown, the present invention proposes a port infrastructure performance monitoring sensor system, which specifically includes the following modules:

[0048] The sensor measurement module is used to obtain the real-time monitoring data collected by the performance monitoring sensors of each port infrastructure, specifically including: a structural durability monitoring module, which is used to measure the seawater salinity data of the installation location of the port infrastructure to be tested through a chloride ion sensor; a structural dynamic response monitoring module, which is used to measure the vibration data of the port infrastructure to be tested through a vibration sensor and the strain data of the port infrastructure to be tested through a strain sensor; a water surface motion monitoring module, which is used to measure the wave height data of the installation location of the port infrastructure to be tested through a wave height sensor;

[0049] A data processing module, connected to the sensor measurement module, for processing the data collected by the performance monitoring sensor, wherein the data processing includes data cleaning and denoising;

[0050] A calibration module, connected to the sensor measurement module, for calibrating the data collected by each performance monitoring sensor;

[0051] A transmission module, connected to the calibration module, for transmitting the calibrated monitoring data to the data analysis module;

[0052] The data analysis module is connected to the transmission module and is used to evaluate and analyze the performance of each port infrastructure to be tested based on the obtained real-time monitoring data, the service life and expected service life of the port infrastructure to be tested, and obtain the evaluation results.

[0053] The basic requirement of port infrastructure monitoring is to ensure the safety, reliability and durability of the structure through relevant monitoring equipment. The monitoring data must meet the monitoring and evaluation of environmental erosion, structural stress, dynamic response and hydrological conditions of port infrastructure. The above modules are designed according to the basic requirements of port infrastructure monitoring:

[0054] 1. Sensor measurement module

[0055] Responsible for real-time monitoring data collection, including chloride ion sensors, strain sensors, vibration sensors and wave height sensors, which are deployed at key locations of port infrastructure to obtain accurate information on the status of port infrastructure.

[0056] Four sensor types were identified because the data collected by these four sensors encompasses a wide range of data to be considered for port infrastructure performance.

[0057] Chloride ion sensor function and installation location:

[0058] Function: Chloride ion sensors are used to monitor the concentration of chloride ions in seawater, which can penetrate into concrete structures and cause corrosion of internal steel bars, thereby weakening the structural strength. By monitoring chloride ion levels, managers can identify potential corrosion risks and take protective measures at an early stage, such as adding anti-corrosion coatings or repairing damaged areas, extending the service life of port facilities.

[0059] Installation location: Chloride ion sensors are usually embedded in the wave-proof side of port infrastructure, especially inside concrete structures such as docks, seawalls and bridge piers. These areas are exposed to humid environments, and chloride ions in seawater can gradually penetrate into the concrete.

[0060] Reasons for installation location: The chloride ion sensor is installed on the back side of the wave, mainly because this position is most susceptible to corrosion by chloride ions in seawater. The back side of the wave is often under the flow of seawater, and it is easy to accumulate salt dissolved in seawater. Therefore, monitoring this position helps to prevent corrosion problems inside the concrete in a timely manner.

[0061] Strain sensor function and installation location:

[0062] Function: Strain sensors are used to monitor the strain of structures under different load conditions, and can accurately capture changes in the forces applied to facilities during operation, such as small deformations caused by ship berthing, cargo loading and unloading, etc. By regularly collecting this data, managers can understand the carrying capacity of the facility, detect potential structural fatigue or damage early, and take appropriate reinforcement measures to avoid accidents.

[0063] Installation location: Strain sensors are usually installed on the wave-proof side or load-bearing parts of port infrastructure, such as the pillars of the dock, the key load-bearing structure of the bridge or other important pressure points. They are often fixed on concrete or steel structures to directly measure the deformation of the material.

[0064] Reasons for installation location: Strain sensors are often used in conjunction with chloride ion sensors, especially when installed in the same facility. The former monitors the stress changes in the facility structure, while the latter monitors the effects of corrosion. The combination of the two can more comprehensively assess the health of the facility. The strain sensor is installed on the back side of the wave because the stress concentration area on the back side is often affected by both seawater erosion and structural stress, and is therefore a key monitoring point for the health of the facility.

[0065] Vibration sensor function and installation location:

[0066] Function: Vibration sensors are used to monitor the operating status of facilities or equipment in real time. In particular, when ships berth, they impact the dock, causing the dock structure to vibrate; abnormal vibrations may indicate problems such as wear, looseness, or imbalance of the equipment. By monitoring vibration data over a long period of time, managers can analyze vibration patterns, predict potential equipment failures, and perform preventive maintenance before the equipment fails completely. Vibration monitoring is essential to ensure the safety and efficiency of daily port operations.

[0067] Installation location: Vibration sensors are installed on the wave-back side of port facilities and mechanical equipment components, especially those areas prone to vibration, such as key connection points of cranes, supporting structures of loading and unloading equipment at docks, etc. Vibration sensors need to be in direct contact with the surface of the facility to accurately capture the vibration frequency and amplitude of the facility or equipment.

[0068] Reasons for installation location: The installation location of the vibration sensor is usually selected based on the mechanical structure and operating characteristics of the equipment. The back wave surface and the facility support structure are more common installation points. These locations can accurately reflect the vibration characteristics of the equipment during operation. Similar to strain sensors, vibration sensors can also capture abnormal conditions caused by uneven force on the back wave surface.

[0069] Wave height sensor function and installation location:

[0070] Function: Wave height sensors are used to measure wave height in port areas and provide key environmental monitoring data. Wave height changes not only affect the berthing and loading and unloading operations of ships, but also have a direct impact on the stability of port facilities, especially during extreme weather conditions such as storm surges and strong winds and waves. By monitoring wave height in real time, managers can provide early warning and take measures to ensure the safe operation of ports and ships.

[0071] Installation location: The wave height sensor is installed on the wave-facing side of the port infrastructure, usually fixed to the front area of ​​the port breakwater or dock, and can monitor the wave height in the water in real time. The wave-facing side is directly exposed to the impact of waves and is the best position to measure wave height.

[0072] Reason for installation location: The wave height sensor must be installed on the wave side, because this is the area where the waves directly hit and can provide the most accurate wave data. Compared with the sensor on the back side, the sensor on the wave side needs a more robust design to cope with the long-term impact of waves.

[0073] The above four sensor options can monitor the most common risk factors in the port environment (such as corrosion, mechanical strain, equipment vibration and marine conditions); provide real-time data, allowing managers to quickly respond to environmental changes and potential structural problems; through continuous monitoring, intervention can be made before problems develop into serious failures, thereby reducing maintenance costs and downtime; the collected data can be used to analyze trends and predict future needs, so as to make more informed operational and maintenance decisions. The settings of chloride ion sensors, strain sensors, vibration sensors and wave height sensors are scientific and reasonable, and they provide comprehensive technical support for the performance monitoring and management of port infrastructure, ensuring the stable and safe operation of the port.

[0074] 2. Data processing module

[0075] The collected raw data will be preliminarily processed through the data processing module, including filtering, denoising, data formatting and other operations, to ensure the quality and consistency of the data and provide a clean and reliable data foundation for subsequent analysis.

[0076] 3. Calibration module

[0077] In order to ensure the accuracy and reliability of the monitoring data, the calibration module will perform regular or real-time online calibration on the sensor. There are related mature technologies in the prior art, which are not limited here. By calibrating the monitoring data, the accuracy of long-term monitoring is ensured.

[0078] 4. Transmission module

[0079] The transmission module is responsible for securely and efficiently transmitting the processed and calibrated data from the sensor endpoint to the central database or cloud server. This is usually achieved through wireless network technologies such as 4G / 5G, Wi-Fi, etc. There is no limitation here.

[0080] 5. Data analysis module

[0081] The data analysis module is a key part of this application for processing and interpreting the raw data collected by the sensor measurement module. It applies advanced data analysis techniques, such as machine learning and data mining algorithms, to conduct in-depth analysis of the data to identify patterns, trends and potential anomalies. This module not only provides real-time data analysis results to help monitor the current status of port infrastructure, but also predicts future performance changes, provides a scientific basis for maintenance and repair decisions, and ensures the efficiency and safety of port operations.

[0082] like Figure 2 As shown, in the data analysis module, the method for obtaining the evaluation results is:

[0083] Step S1, grouping the calibrated monitoring data to obtain the monitoring data of the chloride ion sensor, strain sensor, vibration sensor and wave height sensor of each port infrastructure to be monitored; the monitoring data is the real-time monitoring data after data processing and calibration;

[0084] Step S2, calculating an evaluation value according to the service life, expected service life and sensor monitoring data of the port infrastructure to be monitored;

[0085] Step S3, obtaining an evaluation result by comparing the evaluation value with a preset threshold.

[0086] Furthermore, the evaluation value calculation formula is as follows:

[0087] ;

[0088] Among them, N sensor Types of sensors for port infrastructure performance monitoring, ω i is the weight of the i-th sensor, S Ci is the comprehensive value of the i-th sensor, S imax is the upper limit of the measurement of the ith sensor, S Cj is the comprehensive value of the jth sensor, S jmax is the upper limit of the measurement of the jth sensor, ρ ij is the correlation coefficient between the ith sensor and the jth sensor, and Y is the durability coefficient of the port infrastructure to be monitored.

[0089] In this formula, the monitoring data S of each sensor iThe data are normalized, that is, divided by the upper limit of the sensor monitoring data to eliminate the impact of different sensor dimensions and magnitudes. Then, the correlation between different sensor data, as well as the aging degree and time decay factors of the port infrastructure are considered.

[0090] The above formula also takes into account the correlation coefficients between different types of sensors. Through the rational deployment and collaborative work of multiple sensors, port managers can more comprehensively and accurately understand the health status of port infrastructure and changes in the surrounding environment, and take timely measures to ensure the safety of facilities and the efficiency of port operations.

[0091] The present invention also comprehensively considers the sensor combination relationship of the installation position:

[0092] The synergy between chloride sensors and strain sensors is particularly important. Chloride sensors monitor the corrosion of facilities, while strain sensors monitor structural changes caused by loads. The combination of data from the two can provide a more comprehensive assessment of the health of port infrastructure.

[0093] Vibration sensors and strain sensors have a certain complementary role in detecting equipment or structural anomalies. Vibration sensors are used to monitor the operation of mechanical equipment, while strain sensors focus on monitoring the deformation of structures. Both together ensure the safety of port facilities.

[0094] As a key device for external environment monitoring, wave height sensors, combined with other sensor data, can provide comprehensive support for facility design, maintenance and emergency plans.

[0095] Furthermore, the sensor comprehensive value calculation formula is as follows:

[0096] ;

[0097] Among them, S Ci is the comprehensive value of the i-th sensor, N normal is the number of sensors that measure normal values ​​in the i-th sensor, ω normal is the weight of the normal value, S im is the measurement value of the mth i-th sensor, N abnormal is the number of sensors that measure abnormal values ​​in the i-th sensor, ω abnormal is the weight of the outlier, S in is the measurement value of the nth i-th sensor.

[0098] Sensor comprehensive value S CiThe calculation formula is for obtaining the overall performance of the sensor data of the i-th category, which takes into account the measured data of normal values and abnormal values and their corresponding weights. This formula reflects the overall condition of the sensor data by separately calculating the weighted measured values of normal values and abnormal values and combining them into a comprehensive score. Normal values refer to the measured data within the expected or acceptable range, while abnormal values refer to the data points that exceed the normal range and may indicate problems or require further attention. By assigning different weights to normal values and abnormal values, the formula can highlight the importance of the key data points that may indicate faults or performance degradation. Finally, S Ci provides a comprehensive index for evaluating the performance of the i-th category of sensors and is used in subsequent analysis.

[0099] Furthermore, the calculation formula for the durability coefficient Y of the port infrastructure to be monitored is:

[0100] ;

[0101] where, y 0 is the expected service life of the port infrastructure to be monitored, y is the service life of the port infrastructure to be monitored.

[0102] When evaluating the current and future states of port infrastructure, the data analysis module comprehensively considers the monitoring data, expected service life, and service life to accurately evaluate the remaining life and health status of the infrastructure. Monitoring data provides real-time information on current performance indicators and any abnormal conditions; the expected service life refers to the service life set during the design of the infrastructure or specified by standards, which provides an ideal performance period for evaluation; and the service life is the actual time since the infrastructure was put into use. Considering this factor helps to understand the degree of aging and cumulative damage of the asset. Through the comprehensive analysis of these parameters, potential structural problems can be predicted more accurately, and necessary maintenance and repair work can be arranged to ensure the continuous and safe operation of port facilities.

[0103] Furthermore, in step S3, by comparing the evaluation value with a preset threshold, an evaluation result is obtained, specifically:

[0104] If A ≤ A1, the port infrastructure to be measured is in the normal service period;

[0105] If A1 < A ≤ A2, the port infrastructure to be measured is in the performance decline period and needs to be monitored intensively;

[0106] If A2 < A ≤ A3, the port infrastructure to be measured is in the critical maintenance period and needs to be maintained;

[0107] If A>A3, the port infrastructure to be tested is in the service termination period and cannot be used any more;

[0108] Wherein, A is the evaluation value, A1 is the first threshold, A2 is the second threshold, and A3 is the third threshold.

[0109] The comparison between the evaluation value and the preset threshold value is to determine the current performance status of the port infrastructure and the operations that may be required in the future. The evaluation value is calculated based on sensor monitoring data, durability coefficient and possible other relevant factors, which comprehensively reflects the performance level of the infrastructure. The preset threshold value is a series of reference values ​​set based on experience, historical data or performance standards, which are used to map the evaluation value to a specific performance range. By comparing the evaluation value with these thresholds, it can be determined whether the infrastructure is in a safe operating state, whether it needs to be strengthened, whether it needs maintenance, or whether it has reached the scrapping period. Such comparison helps managers make timely and accurate decisions to ensure the reliability and safety of port infrastructure.

[0110] It should be noted that the terms used in the present invention are only for describing specific embodiments, rather than limiting the scope of the present invention. As shown in the present specification, unless the context clearly indicates an exception, the words "one", "a", "a kind of" and / or "the" do not specifically refer to the singular, but may also include the plural. The terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method or device. In the absence of more restrictions, the elements defined by the sentence "include one..." do not exclude the presence of other identical elements in the process, method or device including the elements.

[0111] It should also be noted that the terms "center", "up", "down", "left", "right", "vertical", "horizontal", "inside", "outside", etc., indicating the orientation or positional relationship, are based on the orientation or positional relationship shown in the drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. Unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", etc. should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection, or it can be an indirect connection through an intermediate medium, or it can be a connection between the two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0112] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the technical solutions of the embodiments of the present invention.

Claims

1. A port infrastructure performance monitoring sensor system, characterized in that: The system includes the following modules: A sensing and measurement module, which is used to obtain the real-time monitoring data collected by each port infrastructure performance monitoring sensor. Specifically, it includes: a structural durability monitoring module, which is used to measure the seawater salinity data at the installation location of the port infrastructure to be measured through a chloride ion sensor; a structural dynamic response monitoring module, which is used to measure the vibration data of the port infrastructure to be measured through a vibration sensor and measure the strain data of the port infrastructure to be measured through a strain sensor; a water surface movement monitoring module, which is used to measure the wave height data at the installation location of the port infrastructure to be measured through a wave height sensor. A data analysis module, which is used to evaluate and analyze the performance of each port infrastructure to be measured according to the obtained real-time monitoring data, the service life and the expected service life of the port infrastructure to be measured, and obtain an evaluation result. The method for obtaining the evaluation result is as follows: Step S1: Group the calibrated monitoring data to obtain the monitoring data of the chloride ion sensor, strain sensor, vibration sensor and wave height sensor of each port infrastructure to be monitored. The monitoring data is the monitoring data after data processing and calibration of the real-time monitoring data. Step S2: Calculate an evaluation value according to the service life, expected service life and sensor monitoring data of the port infrastructure to be monitored. Step S3: Compare the evaluation value with a preset threshold to obtain an evaluation result. The calculation formula of the evaluation value is as follows: ; Among them, N sensor Types of sensors for port infrastructure performance monitoring, ω i is the weight of the i-th sensor, S Ci is the comprehensive value of the i-th sensor, S imax is the upper limit of the measurement of the ith sensor, S Cj is the comprehensive value of the jth sensor, S jmax is the upper limit of the measurement of the jth sensor, ρ ij is the correlation coefficient between the ith sensor and the jth sensor, and Y is the durability coefficient of the port infrastructure to be monitored.

2. A port infrastructure performance monitoring sensor system according to claim 1, characterized in that: The system further includes: A data processing module, connected to the sensing and measurement module, which is used to process the data collected by the performance monitoring sensor. The data processing includes data cleaning and denoising. A calibration module, connected to the sensing and measurement module, which is used to calibrate the data collected by each performance monitoring sensor. A transmission module, connected to the calibration module, which is used to transmit the calibrated monitoring data to the data analysis module.

3. A port infrastructure performance monitoring sensor system according to claim 1, characterized in that: The chloride ion sensor, the strain sensor and the vibration sensor are installed on the leeward side of the port infrastructure to be measured, and the wave height sensor is installed on the windward side of the port infrastructure to be measured.

4. A port infrastructure performance monitoring sensor system according to claim 1, characterized in that: The calculation formula of the comprehensive sensor value is as follows: ; Among them, S Ci is the comprehensive value of the i-th sensor, N normal is the number of sensors that measure normal values ​​in the i-th sensor, ω normal is the weight of the normal value, S im is the measurement value of the mth i-th sensor, N abnormal is the number of sensors that measure abnormal values ​​in the i-th sensor, ω abnormal is the weight of the outlier, S in is the measurement value of the nth i-th sensor.

5. A port infrastructure performance monitoring sensor system according to claim 1, characterized in that: The calculation formula of the durability coefficient Y of the port infrastructure to be monitored is: ; in, y 0 is the expected service life of the port infrastructure to be monitored, y The service life of the port infrastructure to be monitored.

6. A port infrastructure performance monitoring sensor system according to claim 1, characterized in that: In step S3, comparing the evaluation value with a preset threshold to obtain an evaluation result specifically means: If A ≤ A1, the port infrastructure to be measured is in the normal service period. If A1 < A ≤ A2, the port infrastructure to be measured is in the performance decline period and needs to strengthen monitoring. If A2 < A ≤ A3, the port infrastructure to be measured is in the critical maintenance period and needs to be maintained. If A > A3, the port infrastructure to be measured is in the termination of service period and cannot be used continuously. Wherein, A is the evaluation value, A1 is the first threshold, A2 is the second threshold, and A3 is the third threshold.

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