A pile foundation early warning method and system based on multi-source data fusion

Abstract

The present invention discloses a pile foundation early warning method and system based on multi-source data fusion, the method comprising: constructing a three-dimensional terrain of a pile foundation wharf early warning area and dividing it into sub-areas according to the water depth data observed on site; obtaining the field observation data, numerical model data and remote sensing image inversion data of the water depth data; selecting the numerical model data or remote sensing image inversion data closest to the field observation data in the water depth data of each sub-area at each time step and then performing multi-source data fusion, and then calculating the mud surface elevation data according to the water depth data fused by the multi-source data and updating the three-dimensional terrain of the pile foundation wharf early warning area; if the mud surface elevation data is greater than the siltation mud surface elevation threshold, then performing an early warning and displaying the three-dimensional terrain of the pile foundation wharf early warning area. The present invention can perform data verification by means of multi-source data fusion, improve data use efficiency, ensure the reliability and timeliness of early warning, and realize all-weather, all-region, and all-time early warning of siltation under the pile foundation wharf.

Description

Technical Field

[0001] The present invention relates to the field of information technology, and in particular to a pile foundation early warning method and system based on multi-source data fusion. Background Art

[0002] With the rapid development of global industry, the shipping industry has developed rapidly. As an important part of shipping, port terminals have become a necessary condition for the rapid development of shipping. Since the terminal directly faces the wide waters and lacks protective facilities or natural barriers, it is directly affected by hydrodynamics. After the pile-based terminal is built, the supporting piles of the terminal will affect the nearshore dynamics, thereby changing the nearshore sediment transportation process, causing siltation under the pile-based terminal, and affecting the safety of the supporting piles of the pile-based terminal. Therefore, it is necessary to monitor and warn the siltation of the pile-based terminal to ensure the safety of the supporting piles of the pile-based terminal.

[0003] The existing technology for pile foundation wharf siltation warning is too simplistic and cannot provide all-weather, all-region and all-time siltation warning. In addition, the implementation process of the existing technology for pile foundation wharf siltation warning is too complicated and requires too many people, which does not meet the actual needs. Summary of the invention

[0004] The technical problem to be solved by the present invention is as follows: In view of the above-mentioned problems in the prior art, a pile foundation early warning method and system based on multi-source data fusion are provided, which can verify the field observation data, numerical model data and remote sensing image inversion data through multi-source data fusion, improve data utilization efficiency, ensure the reliability and timeliness of early warning, and realize all-weather, all-region and all-time early warning of siltation under pile foundation docks.

[0005] In order to solve the above technical problems, the technical solution adopted by the present invention is:

[0006] A pile foundation early warning method based on multi-source data fusion includes the following steps:

[0007] Construct the initial three-dimensional terrain of the pile foundation wharf warning area and divide it into sub-areas;

[0008] Real-time acquisition of field observation data, numerical model data and remote sensing image inversion data of water depth data in the early warning area of ​​pile foundation wharf;

[0009] Acquire the water depth data observed on site at the initial moment, update the initial three-dimensional topography of the pile foundation wharf warning area according to the water depth data observed on site at the initial moment, and obtain the three-dimensional topography of the pile foundation wharf warning area at the initial moment as the topographic data of the numerical model of the water depth data;

[0010] At each time step after the initial moment, the numerical model data or remote sensing image inversion data closest to the field observation data in the water depth data of each sub-area is selected, and the numerical model data and / or remote sensing image inversion data of the water depth data selected in each sub-area are subjected to multi-source data fusion, and then the mud surface elevation data of the pile foundation wharf warning area corresponding to each time step is calculated according to the water depth data after the multi-source data fusion, and the three-dimensional terrain of the pile foundation wharf warning area corresponding to each time step is updated according to the mud surface elevation data of the pile foundation wharf warning area;

[0011] If the mud surface elevation data in the pile foundation wharf warning area is greater than the silted mud surface elevation threshold, an early warning will be issued and the three-dimensional terrain of the pile foundation wharf warning area will be displayed.

[0012] Furthermore, when constructing the initial three-dimensional terrain of the pile foundation wharf warning area and dividing it into sub-areas, it includes:

[0013] Construct the three-dimensional terrain of the pile foundation wharf warning area design through the pile foundation wharf construction data or design data;

[0014] Plan the navigation route of the unmanned self-propelled ship in the early warning area of ​​the pile foundation wharf and obtain the water depth data measured along the navigation route;

[0015] Using the water depth data, the designed three-dimensional terrain of the pile foundation wharf warning area is updated to obtain the initial three-dimensional terrain of the pile foundation wharf warning area;

[0016] According to the top view of the pile foundation wharf, the closed areas formed by the building boundaries of the pile foundation wharf are used as corresponding sub-areas in the initial three-dimensional terrain of the pile foundation wharf warning area.

[0017] Furthermore, before obtaining the field observation data, numerical model data and remote sensing image inversion data of the water depth data of the pile foundation wharf warning area in real time, the steps of setting the time resolution and spatial resolution of the multi-source data fusion include:

[0018] Determine the multi-source data fusion time resolution Δt and the multi-source data fusion spatial resolution Δm, and divide the pile foundation wharf warning area into orthogonal grids according to the multi-source data fusion spatial resolution Δm;

[0019] According to the multi-source data fusion time resolution Δt, determine the field observation data time resolution Δt1, the numerical model data time resolution Δt2, and the remote sensing image inversion data time resolution Δt3, so that the multi-source data fusion time resolution Δt is different integer multiples of the field observation data time resolution Δt1, the numerical model data time resolution Δt2, and the remote sensing image inversion data time resolution Δt3;

[0020] According to the multi-source data fusion spatial resolution Δm, the numerical model data spatial resolution Δm2 and the remote sensing image inversion data spatial resolution Δm3 are determined, so that the multi-source data fusion spatial resolution Δm is different integer multiples of the numerical model data spatial resolution Δm2 and the remote sensing image inversion data spatial resolution Δm3 respectively.

[0021] Further, when obtaining the field observation data, numerical model data and remote sensing image inversion data of the water depth data of the pile foundation wharf warning area in real time according to the corresponding time resolution and spatial resolution, the step of obtaining the field observation data of the water depth data of the pile foundation wharf warning area in real time specifically includes:

[0022] The location of the field observation point is selected at the intersection of the orthogonal grids of each sub-area in the early warning area of ​​the pile foundation wharf, and the water depth data measured at the location of the field observation point is obtained with the time resolution Δt1 of the field observation data as the time interval.

[0023] Furthermore, the step of updating the elevation threshold of the silted mud surface under the piled pier includes:

[0024] Taking the time resolution Δt1 of the field observation data as the time interval, the siltation thickness at the pile foundation under the pier, the displacement of the pile foundation under the pier, and the pile foundation stress under the pier observed on site in the early warning area of ​​the pile foundation pier are obtained. If the pile foundation displacement and pile foundation stress under the pier are both greater than the corresponding preset thresholds, the siltation thickness at the pile foundation under the pier is added to the preset siltation elevation to obtain a new siltation mud surface elevation threshold under the pile foundation pier.

[0025] Furthermore, when obtaining the field observation data, numerical model data and remote sensing image inversion data of the water depth data of the pile foundation wharf warning area in real time, the step of obtaining the numerical model data of the water depth data of the pile foundation wharf warning area in real time specifically includes:

[0026] The three-dimensional terrain of the pile foundation wharf warning area at the initial moment is obtained as the terrain data of the numerical model, and the hydrological data observed on site at the initial moment is obtained as the boundary driving condition, and the three-dimensional hydrodynamic sediment transport numerical model of the pile foundation wharf warning area is constructed according to the terrain data and the boundary driving condition;

[0027] The time resolution of the numerical model data Δt2 is used as the calculation time step and data output step of the three-dimensional hydrodynamic sediment transport numerical model in the early warning area of ​​the pile-based wharf, and the spatial resolution of the numerical model data Δm2 is used as the grid accuracy of the three-dimensional hydrodynamic sediment transport numerical model in the early warning area of ​​the pile-based wharf.

[0028] Run the three-dimensional hydrodynamic sediment transport numerical model of the pile-based wharf warning area and obtain the output water depth data.

[0029] Furthermore, before selecting the numerical model data or remote sensing image inversion data closest to the field observation data in the water depth data of each sub-area at each time step, the step of selecting the numerical model data in the water depth data of the sub-area at each time step includes:

[0030] Obtain numerical model data of water depth data output by the three-dimensional hydrodynamic sediment transport numerical model of the pile foundation wharf warning area at the current time step, and obtain field observation data of water depth data measured at the field observation point position of each sub-area at the current time step;

[0031] The numerical model data of the water depth data corresponding to the on-site observation point location of each sub-area is compared with the on-site observation data to determine whether the simulation accuracy of the three-dimensional hydrodynamic sediment transport numerical model in the pile foundation wharf warning area meets the requirements;

[0032] If the simulation accuracy of the three-dimensional hydrodynamic sediment transport numerical model of the pile-based wharf warning area does not meet the requirements, the three-dimensional hydrodynamic sediment transport numerical model of the pile-based wharf warning area is corrected according to the field observation data of the water depth data measured at the field observation point position of each sub-area in the current time step;

[0033] If the simulation accuracy of the three-dimensional hydrodynamic sediment transport numerical model of the pile foundation wharf warning area meets the requirements, the numerical model data corresponding to the coordinates of the orthogonal grid intersection points of each sub-area in the numerical model data of the water depth data are extracted.

[0034] Furthermore, when obtaining the field observation data, numerical model data and remote sensing image inversion data of the water depth data of the pile foundation wharf warning area in real time, the step of obtaining the remote sensing image inversion data of the water depth data of the pile foundation wharf warning area in real time includes:

[0035] The remote sensing images of the pile foundation wharf warning area are acquired in real time and preprocessed. Different water depth inversion models are used to invert the preprocessed remote sensing impact according to the time resolution Δt3 of the remote sensing image inversion data and the spatial resolution Δm3 of the remote sensing image inversion data, and the remote sensing inversion data of the water depth data corresponding to each water depth inversion model are obtained.

[0036] Furthermore, before selecting the numerical model data or remote sensing image inversion data closest to the field observation data in the water depth data of each sub-area at each time step, the step of selecting the remote sensing image inversion data in the water depth data of the sub-area at each time step includes:

[0037] Obtain remote sensing inversion data of water depth data output by each water depth inversion model at the current time step, and obtain field observation data of water depth data measured at the field observation point position of each sub-area at the current time step;

[0038] Compare the remote sensing inversion data of the water depth data of each water depth inversion model corresponding to the location of the field observation point in each sub-area with the field observation data to select the optimal water depth inversion model;

[0039] Correct the remaining water depth inversion models based on the field observation data of water depth data measured at the field observation point locations of each sub-area at the current time step;

[0040] The remote sensing inversion data corresponding to the coordinates of the orthogonal grid intersections of each sub-region are extracted from the remote sensing inversion data of the water depth data output by the optimal water depth inversion model.

[0041] The present invention also proposes a pile foundation early warning system based on multi-source data fusion, comprising a microprocessor and a computer-readable storage medium connected to each other, wherein the microprocessor is programmed or configured to execute any one of the pile foundation early warning methods based on multi-source data fusion.

[0042] Compared with the prior art, the advantages of the present invention are:

[0043] The present invention fuses the water depth data of the pile foundation wharf warning area with different time resolutions and different spatial resolutions obtained from multiple channels at each time step, and obtains the mud surface elevation data of the pile foundation wharf warning area corresponding to each time step by calculating the water depth data after multi-source data fusion and the water surface observed on site, and compares the data with the mud surface elevation data threshold to perform siltation warning of the pile foundation wharf. Compared with the method of siltation warning based on a single data source, the present invention realizes all-weather, all-area and all-time warning for the pile foundation wharf, and achieves accurate, timely and reliable warning of siltation of the pile foundation wharf. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 The figure is a flow chart of a method according to an embodiment of the present invention.

[0045] Figure 2 It is a schematic diagram of dividing the early warning area of ​​the pile foundation wharf into sub-areas in an embodiment of the present invention.

[0046] Figure 3 It is a schematic diagram of the orthogonal grids for dividing the early warning area of ​​the pile foundation wharf and the selected on-site observation points in an embodiment of the present invention.

[0047] Figure 4 Schematic diagram of equipment required for on-site observation and its installation location in an embodiment of the present invention.

[0048] Figure 5 The present invention is a general flow chart of a process for updating a siltation surface elevation threshold value included in the method of an embodiment of the present invention.

[0049] Figure 6 This is a flow chart of obtaining numerical model data in real time in an embodiment of the present invention.

[0050] Figure 7 The present invention is a flowchart of obtaining remote sensing image inversion data in real time in an embodiment of the present invention.

[0051] Figure 8 The figure is a flow chart of multi-source data fusion in an embodiment of the present invention. DETAILED DESCRIPTION

[0052] The present invention is further described below in conjunction with the accompanying drawings and specific preferred embodiments, but the protection scope of the present invention is not limited thereby.

[0053] Embodiment 1

[0054] This embodiment proposes a pile foundation early warning method based on multi-source data fusion, which realizes the siltation early warning of pile foundation wharf through multi-source data fusion. Figure 1 As shown, the method of this embodiment includes the following steps:

[0055] S1) Collect data on the address, water level, hydrology and other elements of the sea area near the pile foundation wharf, and standardize the collected data

[0056] S2) constructing the initial three-dimensional terrain of the pile foundation wharf warning area and dividing it into sub-areas;

[0057] S3) Setting the temporal resolution and spatial resolution of multi-source data fusion;

[0058] S4) acquiring in real time the field observation data, numerical model data and remote sensing image inversion data of the water depth data of the pile foundation wharf warning area according to the set time resolution and space resolution; in the process of acquiring in real time the field observation data of the water depth data of the pile foundation wharf warning area, after acquiring the field observed water depth data at time t, using the data to update the initial three-dimensional topography of the pile foundation wharf warning area to obtain the three-dimensional topography of the pile foundation wharf warning area at time t, as the topographic data of the numerical model for calculating the water depth data;

[0059] S5) comparing the numerical model data and remote sensing image inversion data of each sub-area with the corresponding field observation data, and after determining the data source of the water depth data of each sub-area, multi-source data fusion is performed on the water depth data of each sub-area, and the specific process includes:

[0060] At each time step Δt after time t, the numerical model data or remote sensing image inversion data closest to the field observation data in the water depth data of each sub-area is selected, and the numerical model data and / or remote sensing image inversion data of the water depth data selected in each sub-area are subjected to multi-source data fusion, and then the mud surface elevation data of the pile foundation wharf warning area corresponding to each time step is calculated based on the water depth data after the multi-source data fusion, and the three-dimensional terrain of the pile foundation wharf warning area corresponding to each time step is updated based on the mud surface elevation data of the pile foundation wharf warning area; if the mud surface elevation data of the pile foundation wharf warning area is greater than the siltation mud surface elevation threshold, an early warning is issued and the three-dimensional terrain of the pile foundation wharf warning area is displayed.

[0061] The relevant steps are described in detail below.

[0062] In this embodiment, time t is used as the initial moment. In step S2, an initial three-dimensional topographic map of the pile foundation wharf warning area is constructed by using the water depth data. A pile foundation design mud surface plane is drawn on the initial three-dimensional topography, and the pile foundation wharf warning area is divided into regions. Specifically, the following steps are included:

[0063] S21) determining the scope of the pile foundation wharf warning area according to the pile foundation wharf warning demand;

[0064] S22) constructing a three-dimensional terrain design for the pile foundation wharf warning area using the pile foundation wharf construction data or design data collected in step S1;

[0065] S23) planning a navigation route in the early warning area of ​​the pile foundation wharf, and using the water depth measurement equipment carried by the unmanned self-propelled vessel to navigate along the planned route to obtain water depth data of the pile foundation wharf;

[0066] S24) combining the pile-based wharf sea area topography and wharf bank slope profile elevation history data collected in the sea area address data near the pile-based wharf in step S1, using the water depth data of the pile-based wharf to update the three-dimensional topography designed for the pile-based wharf warning area, and obtaining the initial three-dimensional topography of the pile-based wharf warning area. How to use the water depth data of the pile-based wharf to update the three-dimensional topography designed for the pile-based wharf warning area is well known to those skilled in the art, and will not be described in detail in this embodiment;

[0067] S25) According to the top view of the pile foundation wharf, in the initial three-dimensional terrain of the pile foundation wharf warning area, the closed area formed by the building boundary of the pile foundation wharf is used as the corresponding sub-area, such as Figure 2 As shown, in this embodiment, the pile foundation wharf warning area is divided into 6 sub-areas, namely, area 1, area 2, area 3, area 4, area 5, and area 6.

[0068] Step S3 of this embodiment determines the time resolution and spatial resolution of multi-source data fusion according to the warning accuracy requirement, further determines the time resolution and spatial resolution of multi-source data such as field observation data, numerical model data, and remote sensing image data according to the time resolution and spatial resolution of multi-source data fusion, and divides the pile foundation wharf warning area into orthogonal grids according to the multi-source data fusion spatial resolution, specifically including the following steps:

[0069] S31) determining the multi-source data fusion time resolution Δt and the multi-source data fusion spatial resolution Δm. In this embodiment, the multi-source data fusion time resolution Δt is used as the time step for multi-source data fusion in the subsequent step S5. The pile foundation wharf warning area is divided into orthogonal grids according to the multi-source data fusion spatial resolution Δm, and the coordinates of the orthogonal grid intersections are extracted;

[0070] S32) According to the multi-source data fusion time resolution Δt, determine the field observation data time resolution Δt1, the numerical model data time resolution Δt2, and the remote sensing image inversion data time resolution Δt3, so that the multi-source data fusion time resolution Δt is different integer multiples of the field observation data time resolution Δt1, the numerical model data time resolution Δt2, and the remote sensing image inversion data time resolution Δt3, respectively, and specifically satisfies the following relationship:

[0071] Δt=AΔt1=2AΔt2=3AΔt3

[0072] Wherein, A represents an integer;

[0073] S33) According to the multi-source data fusion spatial resolution Δm, the numerical model data spatial resolution Δm2 and the remote sensing image inversion data spatial resolution Δm3 are determined, so that the multi-source data fusion spatial resolution Δm is respectively different integer multiples of the numerical model data spatial resolution Δm2 and the remote sensing image inversion data spatial resolution Δm3, specifically satisfying the following relationship:

[0074] Δm=aΔm2=bΔm3

[0075] Wherein, a and b both represent integers.

[0076] In step S4 of this embodiment, there is a step of obtaining real-time on-site observation data of the water depth data of the early warning area of ​​the pile foundation wharf, specifically as follows: Figure 3 As shown in the figure, multiple on-site observation points are selected at the intersection of the orthogonal grids in the early warning area of ​​the pile foundation wharf and at the wharf pile foundation, and the navigation route of the unmanned self-propelled ship is planned. Figure 4As shown, in-situ sedimentation measuring devices, inclinometers, stress sheets, ADV velocimeters and other observation instruments are arranged at the observation points to obtain the water depth, sedimentation thickness, dock pile foundation displacement, dock pile foundation stress, water flow velocity and other on-site observation point data at the observation point, and the water depth data of the pile foundation dock warning area is obtained through the water depth measurement equipment carried by the unmanned self-propelled ship, including the following steps:

[0077] S411) selecting multiple on-site observation points at the intersection of the orthogonal grids in each sub-area of ​​the early warning area of ​​the pile foundation wharf and installing an in-situ sedimentation measurement device, using the on-site observation data time resolution Δt1 as the time interval, and obtaining the water depth data and sedimentation data at the time t and t+Δt1 measured at these on-site observation points;

[0078] S412) Select multiple wharf pile foundations in the pile foundation wharf early warning area as field observation points and install inclinometers, stress gauges and ADV velocimeters, and obtain the data of wharf pile foundation displacement, pile foundation stress, water flow velocity, etc. at time t and t+Δt1 measured at the positions of these field observation points with a time resolution Δt1 of the field observation data as the time interval;

[0079] S413) planning a navigation route for an unmanned self-propelled vessel in the pile foundation wharf area, and using a water depth measurement device carried by the unmanned self-propelled vessel to navigate along the above-planned route to obtain water depth data of the pile foundation wharf warning area at time t;

[0080] S414) Using the water depth data of the pile foundation wharf warning area at time t to update the initial three-dimensional topography of the pile foundation wharf warning area, the three-dimensional topography of the pile foundation wharf warning area at time t is obtained. How to use the water depth data of the pile foundation wharf warning area to update the initial three-dimensional topography of the pile foundation wharf warning area is well known to those skilled in the art and will not be described in detail in this embodiment.

[0081] like Figure 5 As shown, based on the sedimentation data, the displacement of the wharf pile foundation, and the pile foundation stress data obtained by field observation, the step S4 of this embodiment also includes the step of updating the elevation threshold of the sedimentation mud surface under the pile foundation wharf, including:

[0082] Taking the time resolution Δt1 of the field observation data as the time interval, the siltation thickness at the pile foundation under the pier, the displacement of the pile foundation under the pier, and the stress of the pile foundation under the pier observed on site in the early warning area of ​​the pile foundation pier are obtained. If the displacement of the pile foundation and the pile foundation stress under the pier are both greater than the corresponding preset thresholds, the siltation thickness at the pile foundation under the pier is added to the preset siltation elevation to obtain a new siltation mud surface elevation threshold under the pile foundation pier, thereby establishing a relationship between different water flow velocities and siltation mud surface elevation thresholds. Accurate early warning can be achieved by updating the siltation mud surface elevation threshold in real time.

[0083] In step S4 of this embodiment, it also includes the step of obtaining the numerical model data of the water depth data of the pile-based wharf warning area in real time, specifically, constructing a three-dimensional hydrodynamic sediment transport numerical model of the pile-based wharf warning area according to the hydrological data such as water flow, wave, tide and the like in the water area near the wharf and the three-dimensional terrain of the pile-based wharf warning area. The three-dimensional hydrodynamic sediment transport numerical model uses the hydrological data as the initial boundary driving condition, simulates the three-dimensional hydrodynamic sediment transport in the pile-based wharf warning area, and extracts the water depth, flow velocity and other data at the intersection of the orthogonal grids dividing the pile-based wharf warning area, such as Figure 6 As shown, the following steps are included:

[0084] S421) obtaining the three-dimensional terrain of the pile foundation wharf warning area at time t as terrain data of the numerical model, and obtaining the hydrological data observed on site at time t as the boundary driving condition, and constructing the three-dimensional hydrodynamic sediment transport numerical model of the pile foundation wharf warning area according to the terrain data and the boundary driving condition. How to construct the numerical model according to the terrain data and the boundary driving condition is well known to those skilled in the art and will not be described in detail in this embodiment;

[0085] S422) using the numerical model data time resolution Δt2 as the calculation time step and data output step of the three-dimensional hydrodynamic sediment transport numerical model in the pile-based wharf warning area, and using the numerical model data spatial resolution Δm2 as the grid accuracy of the three-dimensional hydrodynamic sediment transport numerical model in the pile-based wharf warning area;

[0086] S423) Run the three-dimensional hydrodynamic sediment transport numerical model of the pile foundation wharf warning area and obtain output numerical model data, including water depth, flow velocity and other data.

[0087] S424) selecting numerical model data from the water depth data of the sub-area at each time step, including:

[0088] S424a) obtaining numerical model data of water depth data output by the three-dimensional hydrodynamic sediment transport numerical model of the pile foundation wharf warning area at the current time step, and obtaining field observation data of water depth data measured at the field observation point position of each sub-area at the current time step;

[0089] S424b) comparing the numerical model data of the water depth data corresponding to the on-site observation point position of each sub-area with the on-site observation data to determine whether the simulation accuracy of the three-dimensional hydrodynamic sediment transport numerical model of the pile foundation wharf warning area meets the requirements. Determining whether the simulation accuracy of the three-dimensional hydrodynamic sediment transport numerical model of the pile foundation wharf warning area meets the requirements specifically means: if the deviation values ​​of all numerical model data and the corresponding on-site observation data are less than a preset threshold, or the proportion of numerical model data whose deviation values ​​from the corresponding on-site observation data are less than the preset threshold exceeds a preset proportion value, then the simulation accuracy of the three-dimensional hydrodynamic sediment transport numerical model of the pile foundation wharf warning area meets the requirements;

[0090] S424c) If the simulation accuracy of the three-dimensional hydrodynamic sediment transport numerical model of the pile foundation wharf warning area does not meet the requirements, the three-dimensional hydrodynamic sediment transport numerical model of the pile foundation wharf warning area is corrected according to the field observation data of the water depth data measured at the field observation point position of each sub-area at the current time step. How to use the field observation data to correct the numerical model is well known to those skilled in the art and will not be described in detail in this embodiment;

[0091] S424d) If the simulation accuracy of the three-dimensional hydrodynamic sediment transport numerical model for the pile foundation wharf warning area meets the requirements, then according to the orthogonal grid coordinates extracted when the time resolution and spatial resolution of the multi-source data fusion are set in step S3, the numerical model data of the water depth, flow velocity, etc. corresponding to the coordinates of the orthogonal grid intersections of each sub-area in the numerical model data at time t+Δt output by the three-dimensional hydrodynamic sediment transport numerical model for the pile foundation wharf warning area are extracted.

[0092] Step S4 of this embodiment also includes a step of obtaining remote sensing image inversion data of the water depth data of the pile foundation wharf warning area in real time, specifically, obtaining the remote sensing image of the pile foundation wharf warning area through a satellite or an unmanned aerial vehicle airborne platform, obtaining the water depth inversion result of the pile foundation wharf based on the remote sensing image inversion model, and extracting the water depth data of each orthogonal grid intersection, such as Figure 7 As shown, the following steps are included:

[0093] S431) obtaining remote sensing images of the pile foundation wharf warning area from time t in real time through a satellite or unmanned aerial vehicle airborne platform and preprocessing them, using different water depth inversion models, inverting the preprocessed remote sensing impact according to the remote sensing image inversion data time resolution Δt3 and the remote sensing image inversion data spatial resolution Δm3, respectively, to obtain remote sensing inversion data of water depth data corresponding to each water depth inversion model;

[0094] In this embodiment, the preprocessing includes ensemble correction, atmospheric correction, and radiation correction. Different water depth inversion models include single-band models, dual-band models, multi-band models, and logarithmic ratio models. The specific preprocessing process and how to use the different water depth inversion models to invert the preprocessed remote sensing impact according to the remote sensing image inversion data time resolution Δt3 and the remote sensing image inversion data spatial resolution Δm3 are well known to those skilled in the art, and will not be described in detail in this embodiment.

[0095] S432) selecting remote sensing image inversion data from the water depth data of the sub-region at each time step, including:

[0096] S432a) obtaining remote sensing inversion data of the water depth data output by each water depth inversion model at the current time step, and obtaining field observation data of the water depth data measured at the field observation point position of each sub-area at the current time step;

[0097] S432b) comparing the remote sensing inversion data of the water depth data of each water depth inversion model corresponding to the on-site observation point position of each sub-region with the on-site observation data to select the optimal water depth inversion model, wherein the optimal water depth inversion model specifically refers to the water depth inversion model with the smallest variance or standard deviation between all remote sensing inversion data and the corresponding on-site observation data;

[0098] S432c) Correcting the remaining water depth inversion models according to the field observation data of the water depth data measured at the field observation point position of each sub-region at the current time step. How to correct the water depth inversion model according to the field observation data is well known to those skilled in the art and will not be described in detail in this embodiment;

[0099] S432d) extracting remote sensing inversion data corresponding to the coordinates of the orthogonal grid intersections of each sub-area from the remote sensing inversion data of the water depth data at time t+Δt output by the optimal water depth inversion model.

[0100] In summary, step S4 of this embodiment uses the field observation data at time t as the initial drive of the numerical model at time t, the field observation obtains the first data at t+Δt1, the numerical model obtains the first data at t+Δt2, and the remote sensing image obtains the first data at t+Δt3, thereby obtaining the water depth of the pile foundation wharf area through different paths, different time resolutions and different spatial resolutions.

[0101] In step S5 of this embodiment, by comparing the numerical simulation water depth data and remote sensing inversion water depth data of each sub-area with the field observation water depth data of the area, the data source used in each area is determined, and multi-source data fusion is realized to obtain the water depth data of the pile foundation code warning area, and then the mud surface siltation data of the pile foundation code warning area is obtained and compared with the siltation mud surface threshold, so as to realize the early warning of pile foundation wharf siltation and pile foundation stress and strain. Figure 8 As shown, the following steps are included:

[0102] S51) When the time is t+Δt, since t+Δt=t+AΔt1=t+2AΔt2=t+3AΔt3 (A is an integer), at this time, the field observation outputs the Ath data, the numerical model outputs the 2Ath data, and the remote sensing image outputs the 3Ath data;

[0103] S52) extracting the coordinates of the on-site observation point, and extracting the water depth data corresponding to the coordinates of the on-site observation point in the 2A data of the numerical model and the 3A data of the remote sensing image according to the coordinates of the on-site observation point;

[0104] S53) In each sub-region, the water depth data inverted by the above-extracted numerical model and remote sensing image are compared with the water depth data observed on site in the sub-region for accuracy, and the water depth data with higher accuracy is selected between the two. Specifically, the variance or standard deviation of the water depth data inverted by the numerical model or remote sensing image and the water depth data observed on site in the sub-region is calculated, and the water depth data inverted by the numerical model and the water depth data inverted by the remote sensing image with smaller variance or standard deviation than the water depth data observed on site in the sub-region is selected to determine the water depth data of the sub-region using the numerical model water depth or the remote sensing image inversion model, and then the water depth data inverted by the numerical model or remote sensing image selected in each sub-region is subjected to multi-source data fusion. The multi-source data fusion specifically includes centralizing the water depth data inverted by the numerical model or remote sensing image corresponding to the coordinates of the orthogonal grid intersection of each sub-region into a coordinate water depth file, so as to obtain the water depth data of the pile foundation wharf early warning area at time t+Δt;

[0105] S54) calculating the mud surface elevation data of the pile foundation wharf warning area at time t+Δt by using the water depth data of the pile foundation wharf warning area at time t+Δt, specifically, subtracting the water depth data at time t+Δt from the sea level elevation data observed on site at time t+Δt, thereby obtaining the mud surface elevation data of the pile foundation wharf warning area at time t+Δt;

[0106] S55) calibrating the numerical model and the water depth inversion model according to the observation data of the water depth data at time t+Δt;

[0107] S56) updating the three-dimensional topography of the pile foundation wharf warning area at time t according to the mud surface elevation data of the pile foundation wharf area at time t+Δt, and obtaining the three-dimensional topography of the pile foundation wharf warning area at time t+Δt. How to update the three-dimensional topography of the pile foundation wharf warning area according to the mud surface elevation data is well known to those skilled in the art, and will not be described in detail in this embodiment;

[0108] S57) Compare the mud surface elevation data of the pile foundation wharf area at time t+Δt with the siltation mud surface elevation threshold designed for the pile foundation wharf warning area. If the mud surface elevation data of the pile foundation wharf warning area is less than the siltation mud surface elevation threshold, jump to step S51 to obtain the time t+nΔt (n is the number of cycles), the field observation outputs the n×Ath data, the numerical model outputs the 2n×Ath data, and the remote sensing image outputs the 3n×Ath data, calculates the mud surface elevation data of the pile foundation wharf warning area at the next time step, and compares it with the siltation mud surface elevation threshold;

[0109] S58) If the mud surface elevation data in the pile foundation wharf warning area is greater than the siltation mud surface elevation threshold, a warning is issued and the three-dimensional terrain of the pile foundation wharf warning area is displayed, thereby realizing the pile foundation wharf siltation warning by multi-source data fusion.

[0110] Embodiment 2

[0111] The present invention also proposes a pile foundation early warning system based on multi-source data fusion, comprising a microprocessor and a computer-readable storage medium connected to each other, wherein the microprocessor is programmed or configured to execute the pile foundation early warning method based on multi-source data fusion described in Example 1.

[0112] In summary, the present invention discloses a pile foundation early warning method and system based on multi-source data fusion, which obtains the siltation thickness, water flow velocity, pier pile foundation displacement, and pier pile foundation stress at the wharf pile foundation through field observation. In the embodiment, when the on-site observation data of the pile foundation displacement under the wharf and the pile foundation stress under the wharf are higher than the pile foundation displacement threshold and the pile foundation stress threshold, the siltation thickness and water flow velocity at the pile foundation under the wharf when higher than the threshold are output, and the siltation mud surface elevation threshold of different water flow velocities is established, and the multi-source data fusion is performed by obtaining the water depth of the pile foundation wharf area through several different ways, different time resolutions, and different spatial resolutions, so as to realize the accurate early warning of the pile foundation wharf, and realize the three-dimensional early warning visualization in combination with the three-dimensional terrain data. The wharf pile foundation siltation early warning method realized by the present invention through multi-source data fusion solves the shortcomings of the single data pile foundation early warning method, and realizes the all-weather, all-region, and all-time early warning of the pile foundation wharf through the pile foundation wharf early warning based on multi-source data fusion, so as to achieve accurate, timely, and reliable early warning of the siltation under the pile foundation wharf.

[0113] The above is only a preferred embodiment of the present invention, and the protection scope of the present invention is not limited to the above embodiments. All technical solutions under the concept of the present invention belong to the protection scope of the present invention. It should be pointed out that for ordinary technicians in this technical field, some improvements and modifications without departing from the principle of the present invention should also be regarded as the protection scope of the present invention.

Claims

1. A pile foundation early warning method based on multi-source data fusion, characterized in that: The following steps are involved: Construct the initial three-dimensional terrain of the pile foundation wharf warning area and divide it into sub-areas; In real time, field observation data, numerical model data and remote sensing image inversion data of water depth data of the pile foundation wharf warning area are obtained. In the process of obtaining field observation data of water depth data of the pile foundation wharf warning area in real time, the water depth data observed on site at the initial moment is obtained. The initial three-dimensional topography of the pile foundation wharf warning area is updated according to the water depth data observed on site at the initial moment to obtain the three-dimensional topography of the pile foundation wharf warning area at the initial moment, which is used as the topographic data of the numerical model of the water depth data. At each time step after the initial moment, the numerical model data or remote sensing image inversion data closest to the field observation data in the water depth data of each sub-area is selected, and the numerical model data and / or remote sensing image inversion data of the water depth data selected in each sub-area are subjected to multi-source data fusion, and then the mud surface elevation data of the pile foundation wharf warning area corresponding to each time step is calculated according to the water depth data after the multi-source data fusion, and the three-dimensional terrain of the pile foundation wharf warning area corresponding to each time step is updated according to the mud surface elevation data of the pile foundation wharf warning area; If the mud surface elevation data in the pile foundation wharf warning area is greater than the silted mud surface elevation threshold, an early warning will be issued and the three-dimensional terrain of the pile foundation wharf warning area will be displayed.

2. The pile foundation early warning method based on multi-source data fusion according to claim 1 is characterized in that: When constructing the initial three-dimensional terrain of the pile foundation wharf warning area and dividing it into sub-areas, it includes: Construct the three-dimensional terrain of the pile foundation wharf warning area design through the pile foundation wharf construction data or design data; Plan the navigation route of the unmanned self-propelled ship in the early warning area of ​​the pile foundation wharf and obtain the water depth data measured along the navigation route; Using the water depth data, the designed three-dimensional topography of the pile foundation wharf warning area is updated to obtain the initial three-dimensional topography of the pile foundation wharf warning area; According to the top view of the pile foundation wharf, the closed areas formed by the building boundaries of the pile foundation wharf are used as corresponding sub-areas in the initial three-dimensional terrain of the pile foundation wharf warning area.

3. The pile foundation early warning method based on multi-source data fusion according to claim 1 is characterized in that: Before obtaining the field observation data, numerical model data and remote sensing image inversion data of the water depth data of the pile foundation wharf warning area in real time, the steps of setting the time resolution and spatial resolution of multi-source data fusion include: Determine the multi-source data fusion time resolution Δt and the multi-source data fusion spatial resolution Δm, and divide the pile foundation wharf warning area into orthogonal grids according to the multi-source data fusion spatial resolution Δm; According to the multi-source data fusion time resolution Δt, determine the field observation data time resolution Δt1, the numerical model data time resolution Δt2, and the remote sensing image inversion data time resolution Δt3, so that the multi-source data fusion time resolution Δt is different integer multiples of the field observation data time resolution Δt1, the numerical model data time resolution Δt2, and the remote sensing image inversion data time resolution Δt3; According to the multi-source data fusion spatial resolution Δm, the numerical model data spatial resolution Δm2 and the remote sensing image inversion data spatial resolution Δm3 are determined, so that the multi-source data fusion spatial resolution Δm is different integer multiples of the numerical model data spatial resolution Δm2 and the remote sensing image inversion data spatial resolution Δm3 respectively.

4. The pile foundation early warning method based on multi-source data fusion according to claim 3 is characterized in that: When obtaining the field observation data, numerical model data and remote sensing image inversion data of the water depth data of the pile foundation wharf warning area in real time, the steps of obtaining the field observation data of the water depth data of the pile foundation wharf warning area in real time include: The location of the field observation point is selected at the intersection of the orthogonal grids of each sub-area in the early warning area of ​​the pile foundation wharf, and the water depth data measured at the location of the field observation point is obtained with the time resolution Δt1 of the field observation data as the time interval.

5. The pile foundation early warning method based on multi-source data fusion according to claim 4 is characterized in that: Also included are steps to update the threshold elevation of the silt surface beneath the piled pier, including: Taking the time resolution Δt1 of the field observation data as the time interval, the siltation thickness at the pile foundation under the pier, the pile foundation displacement under the pier, and the pile foundation stress under the pier observed on-site in the early warning area of ​​the pile foundation pier are obtained. If the pile foundation displacement and pile foundation stress under the pier are both greater than the corresponding preset thresholds, the siltation thickness at the pile foundation under the pier is added to the preset siltation elevation to obtain a new siltation mud surface elevation threshold under the pile foundation pier.

6. The pile foundation early warning method based on multi-source data fusion according to claim 3 is characterized in that: When obtaining the field observation data, numerical model data and remote sensing image inversion data of the water depth data of the pile foundation wharf warning area in real time, the steps of obtaining the numerical model data of the water depth data of the pile foundation wharf warning area in real time include: The three-dimensional terrain of the pile foundation wharf warning area at the initial moment is obtained as the terrain data of the numerical model, and the hydrological data observed on site at the initial moment is obtained as the boundary driving condition, and the three-dimensional hydrodynamic sediment transport numerical model of the pile foundation wharf warning area is constructed according to the terrain data and the boundary driving condition; The time resolution of the numerical model data Δt2 is used as the calculation time step and data output step of the three-dimensional hydrodynamic sediment transport numerical model in the early warning area of ​​the pile-based wharf, and the spatial resolution of the numerical model data Δm2 is used as the grid accuracy of the three-dimensional hydrodynamic sediment transport numerical model in the early warning area of ​​the pile-based wharf. Run the three-dimensional hydrodynamic sediment transport numerical model of the pile-based wharf warning area and obtain the output water depth data.

7. The pile foundation early warning method based on multi-source data fusion according to claim 6 is characterized in that: Before selecting the numerical model data or remote sensing image inversion data closest to the field observation data in the water depth data of each sub-area at each time step, the step of selecting the numerical model data in the water depth data of the sub-area at each time step includes: Obtain numerical model data of water depth data output by the three-dimensional hydrodynamic sediment transport numerical model of the pile foundation wharf warning area at the current time step, and obtain field observation data of water depth data measured at the field observation point position of each sub-area at the current time step; The numerical model data of the water depth data corresponding to the on-site observation point location of each sub-area is compared with the on-site observation data to determine whether the simulation accuracy of the three-dimensional hydrodynamic sediment transport numerical model in the pile foundation wharf warning area meets the requirements; If the simulation accuracy of the three-dimensional hydrodynamic sediment transport numerical model of the pile-based wharf warning area does not meet the requirements, the three-dimensional hydrodynamic sediment transport numerical model of the pile-based wharf warning area is corrected according to the field observation data of the water depth data measured at the field observation point position of each sub-area in the current time step; If the simulation accuracy of the three-dimensional hydrodynamic sediment transport numerical model of the pile foundation wharf warning area meets the requirements, the numerical model data corresponding to the coordinates of the orthogonal grid intersection points of each sub-area in the numerical model data of the water depth data are extracted.

8. The pile foundation early warning method based on multi-source data fusion according to claim 3 is characterized in that: When obtaining the field observation data, numerical model data and remote sensing image inversion data of the water depth data of the pile foundation wharf warning area in real time, the steps of obtaining the remote sensing image inversion data of the water depth data of the pile foundation wharf warning area in real time include: The remote sensing images of the pile foundation wharf warning area are acquired in real time and preprocessed. Different water depth inversion models are used to invert the preprocessed remote sensing impact according to the time resolution Δt3 of the remote sensing image inversion data and the spatial resolution Δm3 of the remote sensing image inversion data, and the remote sensing inversion data of the water depth data corresponding to each water depth inversion model are obtained.

9. The pile foundation early warning method based on multi-source data fusion according to claim 8 is characterized in that: Before selecting the numerical model data or remote sensing image inversion data closest to the field observation data in the water depth data of each sub-area at each time step, the step of selecting the remote sensing image inversion data in the water depth data of the sub-area at each time step includes: Obtain remote sensing inversion data of water depth data output by each water depth inversion model at the current time step, and obtain field observation data of water depth data measured at the field observation point position of each sub-area at the current time step; The remote sensing inversion data of the water depth data of each water depth inversion model corresponding to the location of the field observation point in each sub-area is compared with the field observation data to select the optimal water depth inversion model; Correct the remaining water depth inversion models based on the field observation data of water depth data measured at the field observation point locations of each sub-area at the current time step; The remote sensing inversion data corresponding to the coordinates of the orthogonal grid intersections of each sub-region are extracted from the remote sensing inversion data of the water depth data output by the optimal water depth inversion model.

10. A pile foundation early warning system based on multi-source data fusion, characterized in that: It comprises a microprocessor and a computer-readable storage medium connected to each other, wherein the microprocessor is programmed or configured to execute the pile foundation early warning method based on multi-source data fusion as claimed in any one of claims 1 to 9.

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