Overflow control method and device, electronic equipment and storage medium

Abstract

The invention provides an overflow control method and device, electronic equipment and a storage medium. The method comprises the steps of monitoring whether the ship starts overflow operation or not; when it is monitored that the ship starts overflowing operation, the total amount of overflowing sediment of the ship is determined; inputting the total amount of the overflow silt into the trained suspended sediment diffusion model to obtain silt falling distribution data output by the suspended sediment diffusion model; wherein the suspended sediment diffusion model simulates the diffusion process of sediment according to the total amount of overflow sediment, and silt falling distribution data is determined; and according to the falling silt distribution data output by the suspended sediment diffusion model, the overflow ending moment is determined, and when the overflow ending moment is reached, overflow ending prompting is carried out to remind the ship to end the overflow action. According to the invention, the trailing suction dredger can be reminded to finish overflow operation in time, and the influence on the water depth of a peripheral navigable water area adjacent to a construction area is avoided.

Description

Technical Field

[0001] The present invention relates to the technical field of overflow sediment data processing, and in particular to an overflow control method, device, electronic equipment and storage medium. Background Art

[0002] Coastal waterways generally use trailing suction hopper dredgers for channel excavation and maintenance and other construction operations, among which the construction process mostly adopts the "dredging-overflow-mud dumping / blowing filling" method. During the construction period, the silt is sucked into the cabin from the bottom of the channel during the overflow process, and then discharged to the sea surface through the cabin overflow barrel. The overflowed high-concentration sand-containing water body spreads with the flow of seawater to the surrounding navigable waters adjacent to the construction area, such as harbors, waterways, docks, etc. Long-term overflow will have an adverse effect on the water depth of the above-mentioned surrounding navigable waters, resulting in an increase in the maintenance cost of the above-mentioned surrounding navigable waters. Therefore, it is necessary to control the overflow time and promptly remind the trailing suction hopper dredger to end the overflow operation to reduce the adverse effects of excessive overflow time on the surrounding navigable waters.

[0003] However, in the relevant technology, most of the workers determine the overflow time based on their own experience to control the overflow operation of ships, which easily leads to the overflow time being too long, affecting the water depth of the surrounding navigable waters adjacent to the construction area, and further increasing the maintenance cost of the surrounding navigable waters. Summary of the invention

[0004] The embodiments of the present invention provide an overflow control method, device, electronic device and storage medium, so as to timely remind a trailing suction dredger to end the overflow operation to avoid affecting the surrounding navigable waters adjacent to the construction area.

[0005] In a first aspect, an embodiment of the present invention provides an overflow control method, comprising: Monitor whether the vessel has started overflow operations; When the ship is detected to have started overflowing, the total amount of overflow sediment of the ship is determined; The total amount of overflow sediment is input into a trained suspended sediment diffusion model to obtain the sedimentation distribution data output by the suspended sediment diffusion model; wherein the suspended sediment diffusion model simulates the sediment diffusion process according to the total amount of overflow sediment to determine the sedimentation distribution data; The overflow end time is determined according to the siltation distribution data output by the suspended sediment diffusion model, and when the overflow end time is reached, an overflow end prompt is given to remind the ship to end the overflow operation.

[0006] In a possible implementation, the suspended sediment diffusion model includes: an atmosphere model, a wave model, a tidal model, and a sediment model; The atmospheric model calculates the atmospheric dynamic field parameters at the current moment according to the position information at the current moment, and inputs the atmospheric dynamic field parameters into the wave model and the tidal current model respectively; The wave model calculates the wave field data at the current moment according to the atmospheric dynamic field parameters at the current moment and the tidal field data at the previous moment, and inputs the wave field data at the current moment into the tidal model and the sediment model respectively; The tidal current model calculates the tidal current field data at the current moment according to the atmospheric dynamic field parameters at the current moment and the wave field data at the previous moment, and inputs the tidal current field data at the current moment into the wave model and the sediment model respectively; The sediment model simulates the sediment deposition and distribution process according to the total amount of overflow sediment at the current moment, wave field data and tidal field data, and obtains sediment deposition and distribution data.

[0007] In a possible implementation, the siltation distribution data includes: the thickness of silt deposition at different locations in a preset navigable water area; Determining the overflow end time according to the siltation distribution data output by the suspended sediment diffusion model includes: Respectively comparing the sediment thickness at different locations within the preset navigable waters with the warning thickness; The time when the sediment deposition thickness at any location in the preset navigable waters reaches the warning thickness is determined as the overflow end time; or Calculate the total amount of sediment deposition in the preset navigable waters based on the sediment deposition thickness at different locations in the preset navigable waters and the area at the corresponding locations; The time when the total amount of silt deposition in the preset navigable waters reaches the total amount for warning is determined as the overflow end time.

[0008] In a possible implementation, determining the total amount of sediment overflow from the ship includes: The overflow flow of the ship and the surface sediment concentration of the ship's internal mud tank are obtained respectively; The total amount of overflow sediment of the ship is determined according to the product of the overflow flow and the surface sediment concentration.

[0009] In a possible implementation, the method further includes: Obtain the total amount of overflow sediment and actual siltation distribution data during different overflow periods; Inputting the total amount of overflow sediment into the suspended sediment diffusion model to obtain predicted sedimentation distribution data output by the suspended sediment diffusion model; According to the difference between the predicted siltation distribution data and the corresponding actual siltation distribution data, the model parameters in the suspended sediment diffusion model are adjusted, and based on the adjusted suspended sediment diffusion model, the step of inputting the total amount of overflow sediment into the suspended sediment diffusion model is re-executed until the difference between the predicted siltation distribution data and the corresponding actual siltation distribution data is within a preset difference range, thereby obtaining a trained suspended sediment diffusion model.

[0010] In a possible implementation, the model parameters in the suspended sediment diffusion model include: siltation rate; According to the difference between the predicted siltation distribution data and the corresponding actual siltation distribution data, the model parameters in the suspended sediment diffusion model are adjusted, including: When the actual siltation distribution data is greater than the predicted siltation distribution data, increasing the siltation rate in the suspended sediment diffusion model; When the actual siltation distribution data is less than the predicted siltation distribution data, the siltation rate in the suspended sediment diffusion model is reduced.

[0011] In a possible implementation, the total amount of overflow sediment is input into a trained suspended sediment diffusion model to obtain siltation distribution data output by the suspended sediment diffusion model, including: Obtaining an overflow period and a ship overflow area, and inputting the overflow period and the ship overflow area into an atmospheric model; The total amount of overflow sediment is used as a point source intensity and input into the sediment model to obtain the siltation distribution data corresponding to the total amount of overflow sediment.

[0012] In a second aspect, an embodiment of the present invention provides an overflow control device, comprising: A monitoring module is used to monitor whether the ship has started overflow operations; Compute module for: When the ship is detected to have started overflowing, the total amount of overflow sediment of the ship is determined; The total amount of overflow sediment is input into a trained suspended sediment diffusion model to obtain the sedimentation distribution data output by the suspended sediment diffusion model; wherein the suspended sediment diffusion model simulates the sediment diffusion process according to the total amount of overflow sediment to determine the sedimentation distribution data; The control module is used to determine the overflow end time according to the siltation distribution data output by the suspended sediment diffusion model, and to issue an overflow end prompt when the overflow end time is reached to remind the ship to end the overflow operation.

[0013] In a third aspect, an embodiment of the present invention provides an electronic device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the processor implements the steps of the method described in the first aspect or any possible implementation manner of the first aspect.

[0014] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium, wherein the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method described in the first aspect or any possible implementation method of the first aspect are implemented.

[0015] The embodiments of the present invention provide an overflow control method, device, electronic device and storage medium. After monitoring that the ship starts overflow operation, the total amount of overflow sediment of the ship is determined, and then the total amount of overflow sediment is input into a suspended sediment diffusion model to simulate the diffusion process of the overflow sediment and determine the siltation distribution data. Subsequently, the overflow end time is determined according to the siltation distribution data, wherein the siltation distribution data can characterize the diffusion distribution of the overflow sediment. According to the diffusion distribution of the overflow sediment, the ship can be reminded in time to end the overflow operation to avoid the adverse impact of the overflow sediment accumulation after long-term overflow on the surrounding navigable waters adjacent to the construction area. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.

[0017] Figure 1 is a flow chart of an implementation of an overflow control method provided by an embodiment of the present invention; Figure 2 is a structural schematic diagram of a suspended sediment diffusion model provided by an embodiment of the present invention; Figure 3 is a schematic structural diagram of an overflow control device provided by an embodiment of the present invention; Figure 4 is a schematic diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In the following description, specific details such as specific system structures, technologies, etc. are provided for the purpose of illustration rather than limitation, so as to provide a thorough understanding of the embodiments of the present invention. However, it should be clear to those skilled in the art that the present invention may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to prevent unnecessary details from obstructing the description of the present invention.

[0019] In order to ensure the navigation safety of coastal waterways, it is necessary to carry out construction operations such as excavation and maintenance of the waterway to keep the water depth of the waterway within a reasonable range. Under normal circumstances, a trailing suction dredger can be used to excavate and maintain the waterway, and the construction process mostly adopts the method of "dredging-overflow-mud dumping / blowing filling". During the construction period, during the dredging operation, the mud inside the waterway is sucked into the ship's internal mud tank from the bottom of the ship. When the mud and water mixture inside the mud tank reaches the highest liquid level of the mud tank, the ship starts to perform overflow operations while performing dredging operations. During the overflow operation, the mud inside the waterway continues to be sucked into the ship's internal mud tank from the bottom of the ship. At the same time, the high-concentration sand-containing water on the upper surface of the mud tank is discharged into the seawater surface through the cabin overflow bucket, thereby discharging the water inside the mud tank and retaining the mud inside the mud tank. After the overflow operation is completed, the ship leaves the current construction area and goes to the mud dumping area to dump the mud inside the mud tank, thereby achieving dredging and maintenance work on the waterway to keep the water depth of the waterway within a reasonable range.

[0020] During the overflow operation, the high-concentration sand-containing water overflowed will spread with the flow of seawater to the surrounding navigable waters adjacent to the current construction area, such as harbors, waterways, and docks. Long-term overflow will have an adverse effect on the water depth of the surrounding navigable waters, resulting in increased maintenance costs for the surrounding navigable waters. Therefore, it is necessary to control the overflow time and promptly remind the trailing suction dredger to end the overflow operation to reduce the adverse effects of excessive overflow time on the surrounding navigable waters.

[0021] However, in the related technology, most of the staff determine the overflow time based on their own experience to control the overflow operation of the ship, which easily leads to the problem of overflow time being too long, affecting the surrounding navigable waters, and further increasing the maintenance cost of the surrounding navigable waters.

[0022] In order to accurately control the overflow time and avoid the problem of excessive overflow time affecting the water depth of the surrounding navigable waters, in the implementation mode of the present application, after monitoring the start of the overflow operation of the ship, the total amount of overflow sediment of the ship is determined, and the total amount of overflow sediment is input into the suspended sediment diffusion model to simulate the diffusion process of the overflow sediment, and the siltation distribution data is determined, and the overflow end time is determined according to the siltation distribution data, wherein the siltation distribution data can characterize the diffusion distribution of the overflow sediment, and the overflow end time can be determined according to the diffusion distribution of the overflow sediment, so as to timely remind the ship to end the overflow operation based on the overflow end time, so as to avoid the adverse effects of long-term overflow on the surrounding navigable waters.

[0023] In order to make the purpose, technical solutions and advantages of the present invention more clear, specific embodiments will be described below in conjunction with the accompanying drawings.

[0024] Figure 1 The implementation flow chart of the overflow control method provided by the embodiment of the present invention is described in detail as follows: Step 101, monitoring whether the ship starts overflow operation.

[0025] During the ship dredging operation, when the mixture of mud and water inside the ship's mud tank reaches the highest liquid level, the ship starts overflow operation while maintaining the dredging operation, and the high-concentration sand-containing water on the upper surface of the mud tank is discharged into the sea surface through the cabin overflow bucket.

[0026] In an embodiment of the present invention, the state of the overflow bucket of the cabin can be monitored in real time to determine whether the ship has started the overflow operation. Specifically, the image of the overflow bucket of the ship can be collected and input into a pre-trained neural network model to identify whether the overflow bucket of the ship is in an overflow state. The neural network model here is trained based on the image of the overflow bucket of the ship and its corresponding operation state. Exemplarily, the neural network model can be a convolutional neural network model.

[0027] Step 102, when it is monitored that the ship starts overflowing, the total amount of overflow sediment of the ship is determined.

[0028] After monitoring that a ship has started an overflow operation, the embodiment of the present invention can determine the total amount of overflow sediment of the ship based on the overflow flow rate during the overflow operation and the sediment concentration during the overflow process.

[0029] Specifically, when determining the total amount of overflow sediment of a ship, the overflow flow of the ship and the surface sediment concentration of the mud tank inside the ship can be obtained respectively; and the total amount of overflow sediment of the ship is determined according to the product of the overflow flow and the surface sediment concentration.

[0030] Here, when obtaining the overflow flow of the ship, the overflow flow of the ship can be directly monitored by a flow meter. In addition, considering that during the overflow operation of the ship, the bottom of the mud tank sucks in mud and sand, while the surface of the mud tank overflows the sand-containing water body, the inflow flow and the overflow flow are usually consistent, and a flow meter is usually installed inside the ship to monitor the inflow flow. Therefore, in the embodiment of the present invention, the monitored inflow flow can also be directly determined as the overflow flow of the ship.

[0031] Considering that the sand-containing water overflowing to the sea surface is all on the upper surface of the mud tank, the embodiment of the present invention can use a sand content meter to monitor the surface sediment concentration on the upper surface of the mud tank, and determine the surface sediment concentration as the overflow sediment concentration during the overflow process.

[0032] When determining the total amount of overflow sediment, the embodiment of the present invention takes into account that the overflow flow and overflow sediment concentration of the ship are variables that change with time. The product of the overflow flow and the overflow sediment concentration at different times can be calculated respectively, and the product at different times can be integrated along the time axis to obtain the total amount of overflow sediment during the ship's overflow operation.

[0033] Step 103, input the total amount of overflow sediment into the trained suspended sediment diffusion model to obtain the sedimentation distribution data output by the suspended sediment diffusion model. The suspended sediment diffusion model simulates the sediment diffusion process according to the total amount of overflow sediment to determine the sedimentation distribution data.

[0034] Here, by inputting the total amount of overflow sediment during the overflow period into the suspended sediment diffusion model, the diffusion process of the overflow sediment in the seawater during the overflow period can be simulated, thereby determining the siltation distribution of the overflow sediment during the overflow period and outputting the siltation distribution data.

[0035] Step 104, determining the overflow end time according to the sediment distribution data output by the suspended sediment diffusion model, and giving an overflow end prompt when the overflow end time is reached to remind the vessel to end the overflow operation.

[0036] Here, the siltation distribution data may include: the thickness of silt accumulation at different locations in the preset navigable waters. In order to avoid the overflow time being too long, resulting in excessive silt accumulation thickness and affecting the surrounding navigable waters adjacent to the construction area, the embodiment of the present invention can determine the overflow end time according to the silt accumulation thickness at different locations during the overflow period, and promptly remind the ship to end the overflow operation, so as to avoid the overflow silt accumulation affecting the surrounding navigable waters adjacent to the construction area.

[0037] In some embodiments, the sediment thickness at different locations within the preset navigable waters can be compared with the warning thickness, respectively; and the moment when the sediment thickness at any location within the preset navigable waters reaches the warning thickness can be determined as the overflow end moment.

[0038] The preset navigable waters can be determined based on the sedimentation distribution area and the construction area. For example, in the embodiment of the present invention, other navigable waters in the sedimentation distribution area except the construction area can be determined as the preset navigable waters. Here, the sedimentation distribution area is used to indicate the distribution position of overflow sediment deposited on the seabed after diffusion and sedimentation.

[0039] During the ship construction process, the overflow silt will not only spread to the construction area, but also spread to the above-mentioned preset navigable waters. In the embodiment of the present invention, when comparing the silt accumulation thickness with the warning thickness, the silt accumulation thickness at different locations in the preset navigable waters can be compared with the warning thickness, and then the moment when the silt accumulation thickness at any location in the preset navigable waters reaches the warning thickness is determined as the overflow end moment.

[0040] In other embodiments, the total amount of silt deposition in the preset navigable waters can be calculated based on the silt deposition thickness at different locations in the preset navigable waters and the area at the corresponding locations; and the moment when the total amount of silt deposition in the preset navigable waters reaches the warning total amount can be determined as the overflow end moment.

[0041] Here, the product of the sediment thickness at different locations and the area at the corresponding locations is the sediment amount at different locations. By accumulating the sediment amount at different locations in the preset navigable waters, the total sediment amount in the preset navigable waters can be determined, and then the overflow end time can be determined according to the total sediment amount in the preset navigable waters.

[0042] It is understandable that the greater the sediment thickness and the total sediment accumulation of the overflow sediment in the navigable waters, the more unfavorable the water depth of the navigable waters is. In the embodiment of the present invention, the overflow end time is determined according to the sediment thickness and the total sediment accumulation caused by the overflow sediment spreading to the preset navigable waters, so as to avoid the sediment thickness and the total sediment accumulation in the preset navigable waters being too large, which will have an adverse effect on the preset navigable water depth. Here, the warning thickness and the warning total amount can be determined according to the actual situation.

[0043] The embodiment of the present invention determines the total amount of overflow sediment of the ship after monitoring the start of overflow operation of the ship, then inputs the total amount of overflow sediment into the suspended sediment diffusion model to simulate the diffusion process of the overflow sediment, determines the siltation distribution data, and then determines the overflow end time according to the siltation distribution data, wherein the siltation distribution data can characterize the diffusion distribution of the overflow sediment, and according to the diffusion distribution of the overflow sediment, the ship can be reminded in time to end the overflow operation to avoid the adverse impact of the overflow sediment accumulation after long-term overflow on the surrounding navigable waters adjacent to the construction area.

[0044] In some embodiments, see Figure 2 , the suspended sediment diffusion model includes: atmospheric model, wave model, tidal model and sediment model.

[0045] Among them, the atmospheric model calculates the atmospheric dynamic field parameters at the current moment according to the position information at the current moment, and inputs the atmospheric dynamic field parameters into the wave model and the tidal current model respectively; the wave model calculates the wave field data at the current moment according to the atmospheric dynamic field parameters at the current moment and the tidal current field data at the previous moment, and inputs the wave field data at the current moment into the tidal current model and the sediment model respectively; the tidal current model calculates the tidal current field data at the current moment according to the atmospheric dynamic field parameters at the current moment and the wave field data at the previous moment, and inputs the tidal current field data at the current moment into the wave model and the sediment model respectively; the sediment model simulates the sedimentation distribution process according to the total amount of overflow sediment at the current moment, the wave field data and the tidal current field data, and obtains the sedimentation distribution data.

[0046] Exemplarily, the atmospheric model may be a Weather Research and Forecasting (WRF) model. The atmospheric model may determine the atmospheric dynamic field data corresponding to the time information and location information according to the input time information and location information. The atmospheric dynamic field data here mainly include: sea surface wind speed, sea surface wind pressure, net heat flux, atmospheric pressure and other data. The above-mentioned atmospheric dynamic field data affects the wave field and tidal field of the sea surface, thereby affecting the silting and diffusion process of overflow sediment in the sea water.

[0047] The embodiment of the present invention can calculate the wave field data under the drive of the atmospheric dynamic field by inputting the above-mentioned atmospheric dynamic field data into the wave model. At the same time, considering that the formation of waves is not only affected by the atmospheric dynamic field, but also by the tidal field, the embodiment of the present invention also inputs the tidal field data of the previous moment into the wave model to determine the wave field data generated at the current moment. Exemplarily, the wave model can be a Simulating Waves Nearshore (SWAN) model.

[0048] Similarly, the tidal field is not only affected by the atmospheric dynamic field, but also by the wave field. The embodiment of the present invention inputs the atmospheric dynamic field data and the wave field data of the previous moment into the tidal model to determine the tidal field data of the current moment.

[0049] Among them, wave field data mainly include wave height, period, wavelength, wave speed, etc. Tidal field data mainly include seawater velocity and direction, etc. Wave field and tidal field act together on the overflow sediment overflowing to the sea surface, affecting the sedimentation and diffusion process of the overflow sediment.

[0050] The embodiment of the present invention inputs wave field data, tidal field data and the total amount of overflow sediment into a sediment model, thereby determining the siltation distribution of the overflow sediment and obtaining siltation distribution data.

[0051] For example, the tidal current model and sediment model in the embodiment of the present invention may be a finite-volume coastal ocean model (FVCOM). The FVCOM model may numerically calculate the sedimentation and diffusion process based on the simulated tidal current field, thereby determining sedimentation distribution data.

[0052] See also Figure 2 On the basis of the above-mentioned suspended sediment diffusion model, when simulating the silting of the total amount of overflow sediment, the embodiment of the present invention can first obtain the overflow period and the ship overflow area, and input the overflow period and the ship overflow area into the atmospheric model to obtain the atmospheric dynamic field data in the overflow area where the ship is located during the overflow period. During the overflow period, the atmospheric dynamic field data in the overflow area where the ship is located are respectively input into the tidal current model and the wave model to determine the tidal current field data and the wave field data in the ship overflow area during the overflow period. Then, the total amount of overflow sediment is input into the sediment model as a point source intensity, so as to simulate the silting distribution data corresponding to the total amount of overflow sediment. In essence, the above-mentioned ship overflow area is the construction area of ​​the ship.

[0053] In some embodiments, before using the suspended sediment diffusion model to simulate the sedimentation distribution process of overflow sediment, the suspended sediment diffusion model may be trained in advance. The specific training process is as follows: Firstly, the total amount of overflow sediment and the actual siltation distribution data in different overflow periods are obtained; then, the total amount of overflow sediment is input into the suspended sediment diffusion model to obtain the predicted siltation distribution data output by the suspended sediment diffusion model; subsequently, according to the difference between the predicted siltation distribution data and the corresponding actual siltation distribution data, the model parameters in the suspended sediment diffusion model are adjusted, and based on the adjusted suspended sediment diffusion model, the step of inputting the total amount of overflow sediment into the suspended sediment diffusion model is re-executed until the difference between the predicted siltation distribution data and the corresponding actual siltation distribution data is within the preset difference range, thereby obtaining a trained suspended sediment diffusion model.

[0054] Here, the total amount of overflow sediment and the actual siltation distribution data in each overflow period can be used as a training sample to train the suspended sediment diffusion model.

[0055] The model training process of the suspended sediment diffusion model is the process of adjusting the model parameters of the suspended sediment diffusion model. The embodiment of the present invention adjusts the model parameters accordingly based on the difference between the predicted sedimentation distribution data and the actual sedimentation distribution data output by the suspended sediment diffusion model, so that the difference between the predicted sedimentation distribution data and the corresponding actual sedimentation distribution data is within a preset difference range, thereby obtaining a trained suspended sediment diffusion model.

[0056] Here, the model parameters in the suspended sediment diffusion model may include: siltation rate, wherein the siltation rate is used to characterize the amount of sediment deposited to the seabed per unit time.

[0057] In some embodiments, when the actual siltation distribution data is greater than the predicted siltation distribution data, the siltation rate in the suspended sediment diffusion model can be increased; when the actual siltation distribution data is less than the predicted siltation distribution data, the siltation rate in the suspended sediment diffusion model can be reduced.

[0058] In the embodiment of the present invention, when the thickness of silt accumulation at different positions in the actual siltation distribution data is greater than the thickness of silt accumulation at corresponding positions in the predicted siltation distribution data, the deviation between the actual siltation distribution data and the predicted siltation distribution data can be reduced by increasing the siltation rate. Similarly, when the thickness of silt accumulation at different positions in the actual siltation distribution data is less than the thickness of silt accumulation at corresponding positions in the predicted siltation distribution data, the siltation rate can be reduced.

[0059] Here, when adjusting the siltation rate, the following process can be followed: If the difference between the actual siltation distribution data and the predicted siltation distribution data corresponding to the current training sample exceeds the preset difference range, the predicted siltation distribution data corresponding to different moments in the overflow period corresponding to the training sample and the corresponding actual siltation distribution data are obtained; then, the deviation between the actual siltation distribution data and the predicted distribution siltation data at different moments in the overflow period is calculated, and the predicted deviation at different moments in the overflow period is obtained. Next, based on the predicted deviation at different moments in the overflow period, the siltation rate adjustment amount at different moments in the overflow period is determined, and then the average value of the siltation rate adjustment amount at each moment in the overflow period is determined as the siltation rate adjustment amount in the overflow period. And according to the siltation rate adjustment amount, the siltation rate is adjusted.

[0060] Among them, when calculating the deviation between the actual sedimentation distribution data and the predicted distribution sedimentation data at different times in the same overflow period, the average value of the actual sedimentation thickness at different positions at the same time in the overflow period can be calculated and determined as the actual sedimentation average value at that time. At the same time, the average value of the predicted sedimentation thickness at different positions at the same time in the overflow period is calculated and determined as the predicted sedimentation average value at that time. Then, the difference between the actual sedimentation average value and the predicted sedimentation average value is determined as the deviation between the actual sedimentation distribution data and the predicted distribution sedimentation data at that time, that is, the predicted deviation at that time in the overflow period.

[0061] In an embodiment of the present invention, when determining the siltation rate adjustment amount at different times within the overflow period based on the prediction deviation at different times within the overflow period, for the prediction deviation at each moment, firstly, determine the time difference between that moment and the overflow start time, then calculate the ratio between the prediction deviation at that moment and the above time difference, and finally, determine the ratio as the siltation rate adjustment amount at that moment.

[0062] The adjustment process of the above siltation rate can be expressed by the following formula: ; in, Indicates the adjustment of siltation rate, Indicates the total duration of the overflow period, Indicates overflow period The deviation between the actual siltation distribution data and the predicted distribution siltation data at the time, Indicates the time when overflow begins.

[0063] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0064] The following is an embodiment of the device of the present invention. For details not described in detail therein, reference may be made to the corresponding method embodiment described above.

[0065] Figure 3 The schematic diagram of the structure of the overflow control device provided by the embodiment of the present invention is shown. For the convenience of description, only the part related to the embodiment of the present invention is shown, which is described in detail as follows: like Figure 3 As shown, the overflow control device 3 includes: a monitoring module 31 , a calculation module 32 and a control module 33 .

[0066] A monitoring module 31 is used to monitor whether the ship has started overflowing operation; The calculation module 32 is used for: When the ship is detected to have started overflowing, the total amount of overflow sediment from the ship is determined; The total amount of overflow sediment is input into the trained suspended sediment diffusion model to obtain the sedimentation distribution data output by the suspended sediment diffusion model; wherein the suspended sediment diffusion model simulates the sediment diffusion process according to the total amount of overflow sediment to determine the sedimentation distribution data; The control module 33 is used to determine the overflow end time according to the siltation distribution data output by the suspended sediment diffusion model, and to issue an overflow end prompt when the overflow end time is reached to remind the ship to end the overflow operation.

[0067] In a possible implementation, the suspended sediment diffusion model includes: an atmospheric model, a wave model, a tidal model, and a sediment model; The atmospheric model calculates the atmospheric dynamic field parameters at the current moment according to the current position information, and inputs the atmospheric dynamic field parameters into the wave model and the tidal current model respectively; The wave model calculates the wave field data at the current moment according to the atmospheric dynamic field parameters at the current moment and the tidal field data at the previous moment, and inputs the wave field data at the current moment into the tidal model and the sediment model respectively; The tidal current model calculates the tidal current data at the current moment according to the atmospheric dynamic field parameters at the current moment and the wave field data at the previous moment, and inputs the tidal current data at the current moment into the wave model and the sediment model respectively; The sediment model simulates the sediment distribution process according to the total amount of overflow sediment, wave field data and tidal field data at the current moment to obtain the sediment distribution data.

[0068] In a possible implementation, the siltation distribution data includes: the thickness of siltation at different locations in the preset navigable waters; The control module 33 is specifically used for: Compare the sediment thickness at different locations in the preset navigable waters with the warning thickness; The moment when the sediment thickness at any location in the preset navigable waters reaches the warning thickness is determined as the overflow end moment; or Calculate the total amount of sediment deposition in the preset navigable waters based on the sediment deposition thickness at different locations in the preset navigable waters and the area at the corresponding locations; The moment when the total amount of silt deposited in the preset navigable waters reaches the total amount warned is determined as the moment when the overflow ends.

[0069] In a possible implementation, the calculation module 32 is specifically configured to: The overflow flow of the ship and the surface sediment concentration of the ship's internal mud tank are obtained respectively; The total amount of overflow sediment of the ship is determined based on the product of the overflow flow and the surface sediment concentration.

[0070] In a possible implementation, the calculation module 32 is further configured to: Obtain the total amount of overflow sediment and actual siltation distribution data during different overflow periods; The total amount of overflow sediment is input into the suspended sediment diffusion model to obtain the predicted sedimentation distribution data output by the suspended sediment diffusion model; According to the difference between the predicted siltation distribution data and the corresponding actual siltation distribution data, the model parameters in the suspended sediment diffusion model are adjusted, and based on the adjusted suspended sediment diffusion model, the step of inputting the total amount of overflow sediment into the suspended sediment diffusion model is re-executed until the difference between the predicted siltation distribution data and the corresponding actual siltation distribution data is within a preset difference range, thereby obtaining a trained suspended sediment diffusion model.

[0071] In a possible implementation, the model parameters in the suspended sediment diffusion model include: siltation rate; The calculation module 32 is specifically used for: When the actual siltation distribution data is greater than the predicted siltation distribution data, increase the siltation rate in the suspended sediment diffusion model; When the actual siltation distribution data is less than the predicted siltation distribution data, the siltation rate in the suspended sediment diffusion model is reduced.

[0072] In a possible implementation, the calculation module 32 is specifically configured to: Obtaining the overflow period and the ship overflow area, and inputting the overflow period and the ship overflow area into the atmospheric model; The total amount of overflow sediment is taken as the point source intensity and input into the sediment model to obtain the siltation distribution data corresponding to the total amount of overflow sediment.

[0073] The overflow control device provided in this embodiment can be used to execute the above method embodiment. Its implementation principle and technical effects are similar, and this embodiment will not be repeated here.

[0074] Figure 4 Schematic diagram of an electronic device provided by an embodiment of the present invention. Figure 4 As shown, the electronic device 4 of this embodiment includes: a processor 40, a memory 41, and a computer program 42 stored in the memory 41 and executable on the processor 40. When the processor 40 executes the computer program 42, the steps in the above-mentioned various overflow control method embodiments are implemented, such as Figure 1 Alternatively, when the processor 40 executes the computer program 42, the functions of each module / unit in the above-mentioned device embodiments are implemented, for example Figure 3 The functions of the modules 31 to 33 are shown.

[0075] Exemplarily, the computer program 42 may be divided into one or more modules / units, one or more modules / units are stored in the memory 41 and executed by the processor 40 to implement the present invention. The one or more modules / units may be a series of computer program instruction segments capable of implementing specific functions, and the instruction segments are used to describe the execution process of the computer program 42 in the electronic device 4. For example, the computer program 42 may be divided into Figure 3 Modules 31 to 33 are shown.

[0076] The electronic device 4 may be a computing device such as a desktop computer, a notebook, a PDA, or a cloud server. The electronic device 4 may include, but is not limited to, a processor 40 and a memory 41. Those skilled in the art will appreciate that Figure 4 It is only an example of the electronic device 4 and does not constitute a limitation of the electronic device 4. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the electronic device may also include input and output devices, network access devices, buses, etc.

[0077] The processor 40 may be a central processing unit (CPU), or other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0078] The memory 41 may be an internal storage unit of the electronic device 4, such as a hard disk or memory of the electronic device 4. The memory 41 may also be an external storage device of the electronic device 4, such as a plug-in hard disk, a smart media card (SMC), a secure digital (SD) card, a flash card, etc. equipped on the electronic device 4. Further, the memory 41 may also include both an internal storage unit and an external storage device of the electronic device 4. The memory 41 is used to store computer programs and other programs and data required by the electronic device. The memory 41 may also be used to temporarily store data that has been output or is to be output.

[0079] The technicians in the relevant field can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In practical applications, the above-mentioned function allocation can be completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated in a processing unit, or each unit can exist physically separately, or two or more units can be integrated in one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, which will not be repeated here.

[0080] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0081] Those skilled in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0082] In the embodiments provided by the present invention, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are only schematic. For example, the division of modules or units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0083] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0084] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0085] If the integrated module / unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the present invention implements all or part of the processes in the above-mentioned embodiment method, and can also be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium, and when the computer program is executed by the processor, the steps of the above-mentioned overflow control method embodiments can be implemented. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may include: any entity or device that can carry computer program code, recording medium, U disk, mobile hard disk, disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signal, telecommunication signal and software distribution medium, etc. The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that the technical solutions described in the aforementioned embodiments may still be modified, or some of the technical features may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention, and should be included in the protection scope of the present invention.

Claims

1. An overflow control method, characterized in that: include: Monitor whether the vessel has started overflow operations; When the ship is detected to have started overflowing, the total amount of overflow sediment of the ship is determined; The total amount of overflow sediment is input into a trained suspended sediment diffusion model to obtain the sedimentation distribution data output by the suspended sediment diffusion model; wherein the suspended sediment diffusion model simulates the sediment diffusion process according to the total amount of overflow sediment to determine the sedimentation distribution data; The overflow end time is determined according to the siltation distribution data output by the suspended sediment diffusion model, and when the overflow end time is reached, an overflow end prompt is given to remind the ship to end the overflow operation.

2. The overflow control method according to claim 1, characterized in that: The suspended sediment diffusion model includes: an atmospheric model, a wave model, a tidal model and a sediment model; The atmospheric model calculates the atmospheric dynamic field parameters at the current moment according to the position information at the current moment, and inputs the atmospheric dynamic field parameters into the wave model and the tidal current model respectively; The wave model calculates the wave field data at the current moment according to the atmospheric dynamic field parameters at the current moment and the tidal field data at the previous moment, and inputs the wave field data at the current moment into the tidal model and the sediment model respectively; The tidal current model calculates the tidal current field data at the current moment according to the atmospheric dynamic field parameters at the current moment and the wave field data at the previous moment, and inputs the tidal current field data at the current moment into the wave model and the sediment model respectively; The sediment model simulates the sediment deposition and distribution process according to the total amount of overflow sediment at the current moment, wave field data and tidal field data, and obtains sediment deposition and distribution data.

3. The overflow control method according to claim 1 or 2, characterized in that: The siltation distribution data includes: the thickness of silt deposition at different locations in the preset navigable waters; Determining the overflow end time according to the siltation distribution data output by the suspended sediment diffusion model includes: Respectively comparing the sediment thickness at different locations within the preset navigable waters with the warning thickness; The time when the sediment deposition thickness at any location in the preset navigable waters reaches the warning thickness is determined as the overflow end time; or Calculate the total amount of sediment deposition in the preset navigable waters based on the sediment deposition thickness at different locations in the preset navigable waters and the area at the corresponding locations; The time when the total amount of silt deposition in the preset navigable waters reaches the total amount for warning is determined as the overflow end time.

4. The overflow control method according to claim 1 or 2, characterized in that: Determine the total amount of sediment spilled by the vessel, including: The overflow flow of the ship and the surface sediment concentration of the ship's internal mud tank are obtained respectively; The total amount of overflow sediment of the ship is determined according to the product of the overflow flow and the surface sediment concentration.

5. The overflow control method according to claim 1 or 2, characterized in that: The method further comprises: Obtain the total amount of overflow sediment and actual siltation distribution data during different overflow periods; Inputting the total amount of overflow sediment into the suspended sediment diffusion model to obtain predicted sedimentation distribution data output by the suspended sediment diffusion model; According to the difference between the predicted siltation distribution data and the corresponding actual siltation distribution data, the model parameters in the suspended sediment diffusion model are adjusted, and based on the adjusted suspended sediment diffusion model, the step of inputting the total amount of overflow sediment into the suspended sediment diffusion model is re-executed until the difference between the predicted siltation distribution data and the corresponding actual siltation distribution data is within a preset difference range, thereby obtaining a trained suspended sediment diffusion model.

6. The overflow control method according to claim 5, characterized in that: The model parameters in the suspended sediment diffusion model include: siltation rate; According to the difference between the predicted siltation distribution data and the corresponding actual siltation distribution data, the model parameters in the suspended sediment diffusion model are adjusted, including: When the actual siltation distribution data is greater than the predicted siltation distribution data, increasing the siltation rate in the suspended sediment diffusion model; When the actual siltation distribution data is less than the predicted siltation distribution data, the siltation rate in the suspended sediment diffusion model is reduced.

7. The overflow control method according to claim 2, characterized in that: The total amount of overflow sediment is input into the trained suspended sediment diffusion model to obtain the sedimentation distribution data output by the suspended sediment diffusion model, including: Obtaining an overflow period and a ship overflow area, and inputting the overflow period and the ship overflow area into an atmospheric model; The total amount of overflow sediment is used as a point source intensity and input into the sediment model to obtain the siltation distribution data corresponding to the total amount of overflow sediment.

8. An overflow control device, characterized in that: include: A monitoring module is used to monitor whether the ship has started overflow operations; Compute module for: When the ship is detected to have started overflowing, the total amount of overflow sediment of the ship is determined; The total amount of overflow sediment is input into a trained suspended sediment diffusion model to obtain the sedimentation distribution data output by the suspended sediment diffusion model; wherein the suspended sediment diffusion model simulates the sediment diffusion process according to the total amount of overflow sediment to determine the sedimentation distribution data; The control module is used to determine the overflow end time according to the siltation distribution data output by the suspended sediment diffusion model, and to issue an overflow end prompt when the overflow end time is reached to remind the ship to end the overflow operation.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the overflow control method as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the overflow control method as described in any one of claims 1 to 7 are implemented.

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