Intelligent detection and evaluation system and method for port engineering structure

Abstract

A port engineering structure intelligent detection and evaluation system and method belong to the field of port engineering. The method comprises the steps that a sensor collection system transmits detection signal data to a data transmission and storage system, the data transmission and storage system transmits the detection signal data to a data preprocessing system to form a standard data set, and a health assessment model system calls the standard data set for assessment operation. The problems that data acquisition is limited and all key areas of the structure are difficult to cover due to non-uniform arrangement of sensors in an existing intelligent detection and evaluation system for the port engineering structure, a large amount of real-time data is generated in port engineering structure monitoring especially in a large complex structure, and an existing data processing method is prone to processing bottlenecks under the condition of large data volume, so that the cost is low are solved. According to the technical scheme of the utility model, the problems of the prior art are solved, and 24 / 7 real-time monitoring of the port engineering structure is realized by deploying a plurality of sensors, so that the management personnel can know the state of the structure at any time.

Description

Technical Field

[0001] The invention relates to an intelligent detection and evaluation system and method for a port engineering structure, and belongs to the field of port engineering. Background Art

[0002] Port engineering structures generally refer to port engineering structures, which are various structures built in port engineering. Port engineering structures play a key role in ports, docks and other waters, and are used for ship berthing, loading and unloading of cargo, wave protection and revetment, channel guidance, etc. Common port engineering structures include docks, berths, breakwaters, revetments, approach bridges, floating docks, etc. The sensor layout in the existing intelligent detection and evaluation system for port engineering structures is sometimes not uniform, resulting in limitations in data collection and difficulty in covering all key areas of the structure. Especially in large and complex structures, port engineering structure monitoring generates a large amount of real-time data. Existing data processing methods are prone to processing bottlenecks under large amounts of data, affecting the timeliness of the evaluation.

[0003] Therefore, it is urgent to propose a new type of intelligent detection and evaluation system and method for port engineering structures to solve the above technical problems. Summary of the invention

[0004] The purpose of the research and development of the present invention is to solve the problem that the sensor arrangement in the existing intelligent detection and evaluation system of port engineering structures is sometimes not uniform enough, resulting in limitations in data collection and difficulty in covering all key areas of the structure. Especially in large and complex structures, port engineering structure monitoring generates a large amount of real-time data. The existing data processing methods are prone to processing bottlenecks under large amounts of data, affecting the timeliness of the evaluation. A brief overview of the present invention is given below to provide a basic understanding of certain aspects of the present invention. It should be understood that this overview is not an exhaustive overview of the present invention. It is not intended to determine the key or important parts of the present invention, nor is it intended to limit the scope of the present invention.

[0005] The technical solution of the present invention:

[0006] Solution 1: An intelligent detection and evaluation system for port engineering structures, including a sensor acquisition system, a data transmission and storage system, a data preprocessing system, a health assessment model system and a maintenance management system. The sensor acquisition system transmits detection signal data to the data transmission and storage system, and the data transmission and storage system transmits the detection signal data to the data preprocessing system to form a standard data group. The health assessment model system retrieves the standard data group for evaluation operations.

[0007] Preferably: the sensor acquisition system includes a wharf structure data acquisition sensor, a breakwater data acquisition sensor, a revetment structure data acquisition sensor, an approach bridge data acquisition sensor, a floating dock data acquisition sensor and a cargo loading and unloading area data acquisition sensor, and the sensor acquisition system includes a wharf structure data acquisition sensor, a breakwater data acquisition sensor, a revetment structure data acquisition sensor, an approach bridge data acquisition sensor, a floating dock data acquisition sensor and a cargo loading and unloading area data acquisition sensor, all of which transmit the detection signal data to the data transmission and storage system.

[0008] Preferably: the wharf structure data acquisition sensor and the revetment structure data acquisition sensor both include strain gauges and displacement sensors, which are respectively installed on the wharf surface, support piles, the connection point between the wharf and the approach bridge, the revetment wall of the port structure, and the foundation or bottom of the revetment.

[0009] Preferably: the breakwater data acquisition sensor and the cargo loading and unloading area data acquisition sensor both include pressure sensors and displacement sensors, which are respectively installed on the top and sides of the breakwater of the port structure, the foundation part of the breakwater, the loading and unloading platform, and key parts of the loading and unloading machinery.

[0010] Preferably: the approach bridge data acquisition sensor includes a stress sensor, a displacement sensor and a vibration sensor, which are respectively installed on the main beam, support and connection parts of the approach bridge of the port structure and the connection between the approach bridge and the dock or the shore.

[0011] Preferably, the floating dock data acquisition sensor comprises a tilt sensor and a displacement sensor, and the tilt sensor and the displacement sensor are respectively installed on the surface of the floating dock and the anchor point.

[0012] The intelligent detection and evaluation method for port engineering structures is implemented based on the intelligent detection and evaluation system for port engineering structures described in Scheme 1, and includes the following steps:

[0013] Step 1, data collection: by arrangement, regularly or continuously collecting signal data detected by the sensor acquisition system, including stress, displacement and vibration;

[0014] Step 2, data transmission and storage: transmitting the collected signal data to a data transmission and storage system through a wireless or wired network, and storing the data in a database of the data transmission and storage system;

[0015] Step 3, data preprocessing: the data transmission and storage system transmits the detection signal data to the data preprocessing system, the data preprocessing system removes noise, errors or incomplete signal data, and then uses a data standardization calculation method to form a standard data set;

[0016] Step 4, data analysis and health assessment: The health assessment model system retrieves the standard data set and uses the structural health monitoring theoretical model to perform assessment operations. Through simulation analysis of different working conditions, the health status of the port structure is quantitatively analyzed. Health indicators are usually used to represent the status of the structure. According to the set threshold of the health indicator, when the data after quantitative analysis exceeds the safety range, an early warning is automatically triggered.

[0017] The present invention has the following beneficial effects:

[0018] 1. The present invention realizes 24 / 7 real-time monitoring of port structures by deploying a variety of sensors, so that managers can understand the status of the structures at any time;

[0019] 2. The present invention can automatically trigger an early warning when the structure is abnormal or exceeds the safety threshold, thereby preventing possible safety accidents and improving the operational safety of the port;

[0020] 3. The present invention can accurately identify and locate minor damage to port structures, making it easier to take preventive measures early, thereby reducing the risk of damage expansion. Based on the quantitative assessment of the structural health status, the system can reasonably arrange maintenance and repair work to avoid over-maintenance or under-maintenance, thereby extending the service life of the port structures;

[0021] 4. The present invention significantly reduces the frequency of traditional manual inspections and reduces labor costs through automated monitoring and evaluation. At the same time, accurate maintenance and repair can be performed based on the evaluation results, avoiding unnecessary full-structure inspections, optimizing resource allocation, and thus reducing maintenance costs.

[0022] 5. The present invention provides a scientific basis for decision-making for management by accumulating historical data, combining big data analysis and artificial intelligence algorithms, and supports the long-term management planning of port engineering structures. Through accurate status monitoring and fault prediction, the system can perform preventive maintenance before problems occur in the structure, reduce the port's downtime due to maintenance, improve operational efficiency, and enable the port to reasonably deploy and use structures, avoid scheduling chaos caused by equipment failures, and ensure efficient operation of the port. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a flow chart of the intelligent detection and evaluation method for port engineering structures. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is described below by the specific embodiments shown in the accompanying drawings. However, it should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, the description of well-known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present invention.

[0025] The connection mentioned in the present invention is divided into fixed connection and detachable connection. The fixed connection (i.e., non-detachable connection) includes but is not limited to conventional fixed connection methods such as folding connection, rivet connection, bonding connection and welding connection. The detachable connection includes but is not limited to conventional detachable methods such as threaded connection, snap connection, pin connection and hinge connection. When the specific connection method is not clearly defined, it is assumed that at least one connection method can always be found in the existing connection methods to achieve the function. Those skilled in the art can choose according to their needs. For example: welding connection is selected for fixed connection, and hinge connection is selected for detachable connection.

[0026] Specific implementation method 1: Combination Figure 1 To illustrate this embodiment, the intelligent detection and evaluation system for port engineering structures of this embodiment includes a sensor acquisition system, a data transmission and storage system, a data preprocessing system, a health assessment model system and a maintenance management system. The sensor acquisition system transmits detection signal data to the data transmission and storage system, the data transmission and storage system transmits the detection signal data to the data preprocessing system to form a standard data group, and the health assessment model system retrieves the standard data group for evaluation operations.

[0027] The sensor acquisition system includes a wharf structure data acquisition sensor, a breakwater data acquisition sensor, a revetment structure data acquisition sensor, an approach bridge data acquisition sensor, a floating dock data acquisition sensor and a cargo loading and unloading area data acquisition sensor, and the sensor acquisition system includes a wharf structure data acquisition sensor, a breakwater data acquisition sensor, a revetment structure data acquisition sensor, an approach bridge data acquisition sensor, a floating dock data acquisition sensor and a cargo loading and unloading area data acquisition sensor, all of which transmit detection signal data to a data transmission and storage system.

[0028] The wharf structure data acquisition sensor and the revetment structure data acquisition sensor both include strain gauges and displacement sensors, which are respectively installed on the wharf surface, support piles, the connection between the wharf and the approach bridge, the revetment wall of the port structure, and the foundation or bottom of the revetment.

[0029] The breakwater data acquisition sensor and cargo loading and unloading area data acquisition sensor both include pressure sensors and displacement sensors, which are respectively installed on the top and sides of the breakwater of the port structure, the foundation part of the breakwater, the loading and unloading platform, and key parts of the loading and unloading machinery.

[0030] The approach bridge data acquisition sensors include stress sensors, displacement sensors and vibration sensors, which are respectively installed on the main beam, support and connection parts of the approach bridge of the port engineering structure and the connection between the approach bridge and the dock or the shore.

[0031] The floating dock data acquisition sensor comprises a tilt sensor and a displacement sensor, and the tilt sensor and the displacement sensor are respectively installed on the surface of the floating dock and the anchor point.

[0032] Specific implementation method 2: Combination Figure 1 This embodiment is described. The intelligent detection and evaluation method for port engineering structures of this embodiment is implemented based on the intelligent detection and evaluation system for port engineering structures described in the first embodiment, and includes the following steps:

[0033] Step 1, data collection: by arrangement, regularly or continuously collecting signal data detected by the sensor acquisition system, including stress, displacement and vibration;

[0034] Step 2, data transmission and storage: transmitting the collected signal data to a data transmission and storage system through a wireless or wired network, and storing the data in a database of the data transmission and storage system;

[0035] Step 3, data preprocessing: the data transmission and storage system transmits the detection signal data to the data preprocessing system, the data preprocessing system removes noise, errors or incomplete signal data, and then uses a data standardization calculation method to form a standard data set;

[0036] Step 4, data analysis and health assessment: The health assessment model system retrieves the standard data set and uses the structural health monitoring theoretical model to perform assessment operations. Through simulation analysis of different working conditions, the health status of the port structure is quantitatively analyzed. Health indicators are usually used to represent the status of the structure. According to the set threshold of the health indicator, when the data after quantitative analysis exceeds the safety range, an early warning is automatically triggered.

[0037] The specific steps of the health assessment model system to retrieve the standard data set and use the structural health monitoring theoretical model to perform assessment calculations include:

[0038] Select the appropriate model: According to the characteristics and monitoring requirements of the port structure, select an appropriate health monitoring model, such as a physical model, a statistical model, or a data-driven model.

[0039] Establish a finite element model of the structure or a predictive model based on historical data to simulate the behavior of the structure under different working conditions and external environments. For example, a finite element model can be used to simulate the stress and deformation of the structure under the action of waves, tides, loads, etc.

[0040] Determine key parameters in the model, such as elastic modulus, damping coefficient, load distribution, etc., through experiments or historical data.

[0041] Extract health indicators: Extract key features from the preprocessed standard data set, such as strain, displacement, acceleration and other health indicators. Time domain or frequency domain analysis methods can be used, such as Fourier transform, wavelet transform, etc.

[0042] Calculate structural response parameters: such as modal frequency, modal vibration shape and damping ratio of the structure. These parameters can reflect the stiffness, mass and damping characteristics of the structure and are key indicators of health status.

[0043] Baseline model comparison: Compare the real-time monitoring data with the baseline model, which is usually a normal working model established in a healthy state. By comparing the deviation, determine whether there is an abnormality.

[0044] Residual analysis: Use statistical methods, such as principal component analysis (PCA), to analyze the residuals in the monitoring data and identify abnormal features.

[0045] Calculate the health index: Based on the extracted characteristic parameters, calculate the health index of the structure, which is usually used to quantify the health status of the structure.

[0046] Damage detection algorithm: Apply damage detection algorithms (such as modal analysis, damage index method, etc.) to identify potential damage in the structure.

[0047] Damage localization: combining sensor data with the structural model to locate damaged areas using methods such as modified wavelet transform or mode shape difference.

[0048] Quantitative damage assessment: Quantify the extent of damage and evaluate the impact on the structure, such as crack length, deformation, etc.

[0049] It should be noted that in the above embodiments, as long as the technical solutions are not contradictory, they can be arranged and combined, and those skilled in the art can exhaust all possibilities based on the mathematical knowledge of arrangement and combination. Therefore, the present invention will no longer describe the technical solutions after arrangement and combination one by one, but it should be understood that the technical solutions after arrangement and combination have been disclosed by the present invention.

[0050] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. Intelligent detection and evaluation system for port engineering structures, characterized by: It includes a sensor acquisition system, a data transmission and storage system, a data preprocessing system, a health assessment model system and a maintenance management system. The sensor acquisition system transmits detection signal data to the data transmission and storage system, and the data transmission and storage system transmits the detection signal data to the data preprocessing system to form a standard data group. The health assessment model system retrieves the standard data group for evaluation calculations.

2. The intelligent detection and evaluation system for port engineering structures according to claim 1 is characterized by: The sensor acquisition system includes a wharf structure data acquisition sensor, a breakwater data acquisition sensor, a revetment structure data acquisition sensor, an approach bridge data acquisition sensor, a floating dock data acquisition sensor and a cargo loading and unloading area data acquisition sensor, and the sensor acquisition system includes a wharf structure data acquisition sensor, a breakwater data acquisition sensor, a revetment structure data acquisition sensor, an approach bridge data acquisition sensor, a floating dock data acquisition sensor and a cargo loading and unloading area data acquisition sensor, all of which transmit detection signal data to a data transmission and storage system.

3. The intelligent detection and evaluation system for port engineering structures according to claim 1 is characterized by: The wharf structure data acquisition sensor and the revetment structure data acquisition sensor both include strain gauges and displacement sensors, which are respectively installed on the wharf surface, support piles, the connection between the wharf and the approach bridge, the revetment wall of the port structure, and the foundation or bottom of the revetment.

4. The intelligent detection and evaluation system for port engineering structures according to claim 1 is characterized in that: The breakwater data acquisition sensor and cargo loading and unloading area data acquisition sensor both include pressure sensors and displacement sensors, which are respectively installed on the top and sides of the breakwater of the port structure, the foundation part of the breakwater, the loading and unloading platform, and key parts of the loading and unloading machinery.

5. The intelligent detection and evaluation system for port engineering structures according to claim 1 is characterized by: The approach bridge data acquisition sensors include stress sensors, displacement sensors and vibration sensors, which are respectively installed on the main beam, support and connection parts of the approach bridge of the port engineering structure and the connection between the approach bridge and the dock or the shore.

6. The intelligent detection and evaluation system for port engineering structures according to claim 1 is characterized by: The floating dock data acquisition sensor comprises a tilt sensor and a displacement sensor, and the tilt sensor and the displacement sensor are respectively installed on the surface of the floating dock and the anchor point.

7. The intelligent detection and evaluation method for port engineering structures is implemented by relying on the intelligent detection and evaluation system for port engineering structures according to any one of claims 1 to 6, and is characterized in that: The following steps are involved: Step 1, data collection: by arrangement, regularly or continuously collecting signal data detected by the sensor acquisition system, including stress, displacement and vibration; Step 2, data transmission and storage: transmitting the collected signal data to a data transmission and storage system through a wireless or wired network, and storing the data in a database of the data transmission and storage system; Step 3, data preprocessing: the data transmission and storage system transmits the detection signal data to the data preprocessing system, the data preprocessing system removes noise, errors or incomplete signal data, and then uses a data standardization calculation method to form a standard data set; Step 4, data analysis and health assessment: The health assessment model system retrieves the standard data set and uses the structural health monitoring theoretical model to perform assessment operations. Through simulation analysis of different working conditions, the health status of the port structure is quantitatively analyzed. Health indicators are usually used to represent the status of the structure. According to the set threshold of the health indicator, when the data after quantitative analysis exceeds the safety range, an early warning is automatically triggered.

Images