River flow simulation method and system applied to full-automatic sediment monitoring system

Abstract

The invention relates to the technical field of intelligent control, and discloses a river flow simulation method and system applied to a full-automatic sediment monitoring system.The method comprises the steps that before sediment conditions are detected, according to multi-dimensional collection information corresponding to a to-be-analyzed river water sample, the to-be-analyzed river water sample is analyzed; further combining with a river flow simulation model which is trained to converge in advance to generate a flow control parameter corresponding to the existing river water sample so as to simulate the river water flow condition when the to-be-analyzed river water sample is collected; after the river water flowing condition is simulated when the river water sample to be analyzed is collected, the sediment is detected through the detection unit. Therefore, the river flow condition can be accurately simulated when the sediment content is tested, and the testing accuracy of the sediment content is improved while the testing efficiency of the sediment content is improved.

Description

Technical Field

[0001] This invention relates to the field of intelligent control technology, and in particular to a method and system for simulating river flow in a fully automated sediment monitoring system. Background Technology

[0002] Sediment monitoring is a fundamental task in water resource management, ecological protection, and engineering construction. Its necessity is reflected in several key dimensions, directly impacting ecological balance, human production and life, and sustainable social development. Taking ecological protection as an example, sediment content, especially the content of suspended particulate matter (SPM) in rivers, is basic information for water conservancy engineering design, soil and water conservation effectiveness evaluation, and engineering operation management. It serves as an effective reference for evaluating the degree of damage and restoration of the underlying surface of a watershed or region, and is also an important aspect of hydrological observation. Therefore, it is essential to test or monitor sediment content. Currently, traditional suspended particulate matter testing generally involves manually filtering, drying, and weighing water samples after collection to obtain the final test results. This method not only relies on manual operation, which is cumbersome and complex, hindering efficiency in sediment content testing, but also depends on the operator's experience, reducing the accuracy of sediment content measurement.

[0003] To address the low efficiency and accuracy of manual sediment content testing, automated sediment content testing methods have been proposed and widely applied. However, practical experience has shown that current automated sediment content testing methods suffer from inaccuracies due to their inability to accurately simulate river flow conditions.

[0004] It is evident that improving the efficiency and accuracy of sediment content testing is a key technical issue that needs to be addressed in the field of sediment monitoring. Summary of the Invention

[0005] This invention provides a river flow simulation method and system for use in a fully automated sediment monitoring system. It can accurately simulate river flow during sediment content testing, thereby improving both the efficiency and accuracy of sediment content testing.

[0006] To address the aforementioned technical problems, the first aspect of this invention discloses a river flow simulation method applied to a fully automated sediment monitoring system. The fully automated sediment monitoring system includes at least a detection unit and a flow-through pool unit for simulating river flow conditions. The method includes: After the river water sample to be analyzed flows into the flow pool unit, it is determined whether the existing river water sample flowing into the flow pool unit meets the preset sediment analysis conditions; when the determination result is yes, the multi-dimensional collection information corresponding to the river water sample to be analyzed is determined, the multi-dimensional collection information includes the collection depth of the river water sample to be analyzed and the river water flow when the river water sample to be analyzed is collected. Based on the acquired multi-dimensional collected information and the pre-trained converged river flow simulation model, the flow control parameters corresponding to the existing river water samples are generated. The flow control unit is controlled according to the flow control parameters to simulate the river water flow; wherein, the detection unit is used to perform sediment detection on the existing river water sample after the flow control unit simulates the river water flow, and obtain sediment detection results.

[0007] As an optional implementation, in the first aspect of the present invention, after generating the flow control parameters corresponding to the existing river water sample based on the acquired multi-dimensional collected information and the pre-trained converged river flow simulation model, the method further includes: Determine whether the river water sample to be analyzed is currently continuously flowing from the inlet of the flow tank unit to the flow tank unit; if it is determined that the river water sample to be analyzed is not currently continuously flowing to the flow tank unit, then execute the step of controlling the flow tank unit to simulate the river water flow according to the flow control parameters. If it is determined that the river water sample to be analyzed is currently continuously flowing into the flow pool unit, then the degree of influence of the real-time flow of the river water sample to be analyzed into the flow pool unit on the simulated river water flow of the flow pool unit is determined; if the degree of influence is less than or equal to a preset degree threshold, then the step of controlling the flow pool unit to simulate the river water flow according to the flow control parameters is executed.

[0008] As an optional implementation, in the first aspect of the present invention, the method further includes: If the degree of influence exceeds the preset threshold, the flow control parameters are calibrated and updated based on the real-time flow status of the river water sample being analyzed as it continuously flows into the flow tank unit; and / or, If the degree of influence is greater than the preset threshold, the flow of the river water sample to be analyzed to the flow pool unit will be adjusted.

[0009] As an optional implementation, in the first aspect of the present invention, the real-time flow status of the river water sample to be analyzed continuously flowing into the flow pool unit includes: the real-time flow velocity, real-time water flow rate, and real-time inlet position of the river water sample to be analyzed continuously flowing into the flow pool unit. Furthermore, the flow control parameters include the target underwater thruster to be activated and the blade rotation rate corresponding to the target underwater thruster.

[0010] As an optional implementation, in the first aspect of the present invention, the method further includes: After determining the multi-dimensional collected information, it is determined whether the collection depth is greater than or equal to a preset depth threshold and whether the distance between the collection position corresponding to the collection depth and the bottom of the water is greater than or equal to a preset first distance threshold. If so, then the step of generating the flow control parameters corresponding to the existing river water sample based on the acquired multi-dimensional collected information and the pre-trained converged river flow simulation model is executed. If not, then based on the weather conditions when the river water sample to be analyzed was collected and the number of movable targets within the target range whose distance from the collection location is less than or equal to a preset second distance threshold, the naturalness of the river flow when the river water sample to be analyzed was evaluated; if the naturalness is greater than or equal to the preset naturalness threshold, then the step of generating the flow control parameters corresponding to the existing river water sample based on the acquired multi-dimensional collection information and the pre-trained converged river flow simulation model was executed.

[0011] As an optional implementation, in the first aspect of the present invention, the method further includes: If the naturalness is less than the preset naturalness threshold, the river flow condition when the river water sample to be analyzed is calibrated according to the weather conditions and the mobile target conditions when the river water sample to be analyzed is collected, so as to update the river flow condition when the river water sample to be analyzed is collected. Wherein, the naturalness represents the degree of influence of the weather conditions and / or the mobile target conditions on the river flow when the river water sample to be analyzed is collected; the greater the degree of influence, the smaller the naturalness; the smaller the degree of influence, the greater the naturalness.

[0012] As an optional implementation, in the first aspect of the present invention, the method further includes: After controlling the flow pool unit to simulate the river water flow according to the flow control parameters, the current flow of existing river water samples in the flow pool unit is collected based on the simulation situation acquisition sensor pre-set in the flow pool unit. If the difference between the current flow and the river water flow when the river water sample to be analyzed is less than or equal to a preset difference threshold and the duration of the current flow is greater than or equal to a preset duration threshold, a detection trigger command is sent to the detection unit to trigger the detection unit to perform the sediment detection operation.

[0013] A second aspect of this invention discloses a river flow simulation system applied to a fully automated sediment monitoring system, the system comprising a control unit and a flow pool unit; wherein, the control unit comprises: The information determination subunit is used to determine whether the existing river water sample flowing into the flow pool unit meets the preset sediment analysis conditions after the river water sample to be analyzed flows into the flow pool unit; when the determination result is yes, the multi-dimensional collection information corresponding to the river water sample to be analyzed is determined, the multi-dimensional collection information includes the collection depth of the river water sample to be analyzed and the river water flow when the river water sample to be analyzed is collected. The parameter generation subunit is used to generate flow control parameters corresponding to the existing river water sample based on the acquired multi-dimensional collection information and the pre-trained converged river flow simulation model. The simulation control subunit is used to control the flow pool unit to simulate the river water flow according to the flow control parameters; wherein, the detection unit is used to perform sediment detection on the existing river water sample after the flow pool unit simulates the river water flow, and obtain sediment detection results.

[0014] As an optional implementation, in a second aspect of the invention, the control unit further includes: The first influence judgment subunit is used to determine whether the river water sample to be analyzed is currently continuously flowing from the inlet of the flow pool unit to the flow pool unit after the parameter generation subunit generates the flow control parameters corresponding to the existing river water sample based on the acquired multi-dimensional collected information and the pre-trained converged river flow simulation model; if it is determined that the river water sample to be analyzed is not currently continuously flowing to the flow pool unit, the simulation control subunit is triggered to perform the operation of controlling the flow pool unit to simulate the river water flow according to the flow control parameters; if it is determined that the river water sample to be analyzed is currently continuously flowing to the flow pool unit, the subunit determines the degree of influence of the real-time flow of the river water sample to be analyzed on the simulation of the river water flow by the flow pool unit; if the degree of influence is less than or equal to a preset degree threshold, the simulation control subunit is triggered to perform the operation of controlling the flow pool unit to simulate the river water flow according to the flow control parameters.

[0015] As an optional implementation, in a second aspect of the invention, the control unit further includes: The simulation calibration subunit is used to calibrate the flow control parameters based on the real-time flow status of the river water sample to be analyzed continuously flowing into the flow pool unit if the influence level is greater than the preset level threshold, so as to update the flow control parameters and / or adjust the flow status of the river water sample to be analyzed continuously flowing into the flow pool unit.

[0016] As an optional implementation, in a second aspect of the present invention, the real-time flow status of the river water sample to be analyzed continuously flowing into the flow pool unit includes: the real-time flow velocity, real-time water flow rate, and real-time inlet position of the river water sample to be analyzed continuously flowing into the flow pool unit. Furthermore, the flow control parameters include the target underwater thruster to be activated and the blade rotation rate corresponding to the target underwater thruster.

[0017] As an optional implementation, in a second aspect of the invention, the control unit further includes: The second influence judgment subunit is used to determine, after determining the multi-dimensional collected information, whether the collection depth is greater than or equal to a preset depth threshold and whether the distance between the collection location corresponding to the collection depth and the bottom of the water is greater than or equal to a preset first distance threshold; if yes, the parameter generation subunit is triggered to perform the operation of generating the flow control parameters corresponding to the existing river water sample based on the acquired multi-dimensional collected information and the pre-trained converged river flow simulation model; if no, the naturalness of the river flow when collecting the river water sample is evaluated based on the weather conditions when collecting the river water sample to be analyzed and the situation of movable targets within the target range whose distance from the collection location is less than or equal to a preset second distance threshold; if the naturalness is greater than or equal to a preset naturalness threshold, the parameter generation subunit is triggered to perform the operation of generating the flow control parameters corresponding to the existing river water sample based on the acquired multi-dimensional collected information and the pre-trained converged river flow simulation model.

[0018] As an optional implementation, in a second aspect of the invention, the control unit further includes: The flow calibration subunit is used to calibrate the river flow conditions when the river water sample to be analyzed was collected, based on the weather conditions and the mobile target conditions, if the naturalness is less than the preset naturalness threshold, so as to update the river flow conditions when the river water sample to be analyzed was collected. Wherein, the naturalness represents the degree of influence of the weather conditions and / or the mobile target conditions on the river flow when the river water sample to be analyzed is collected; the greater the degree of influence, the smaller the naturalness; the smaller the degree of influence, the greater the naturalness.

[0019] As an optional implementation, in a second aspect of the invention, the control unit further includes: The communication subunit is used to, after controlling the flow pool unit to simulate the river water flow according to the flow control parameters, collect the current flow status of existing river water samples in the flow pool unit based on the simulation status acquisition sensor pre-set in the flow pool unit. If the difference between the current flow status and the river water flow status when the river water sample to be analyzed was less than or equal to a preset difference threshold and the duration of the current flow status was greater than or equal to a preset duration threshold, then a detection trigger command is sent to the detection unit to trigger the detection unit to perform the sediment detection operation.

[0020] A third aspect of this invention discloses another river flow simulation system applied to a fully automated sediment monitoring system, the system comprising a control unit and a flow pool unit; wherein, the control unit comprises: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to control the flow pool unit to execute the steps in the river flow simulation method for a fully automated sediment monitoring system disclosed in the first aspect of the present invention.

[0021] The fourth aspect of the present invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute the steps of the river flow simulation method for a fully automated sediment monitoring system disclosed in the first aspect of the present invention.

[0022] Compared with the prior art, the present invention has the following beneficial effects: This invention enables the generation of flow control parameters for existing river water samples based on multi-dimensional collected information from the river water sample to be analyzed before sediment detection. This is achieved by combining the data with a pre-trained and converged river flow simulation model to simulate the river flow conditions when the sample is collected. After simulating the river flow conditions when the sample is collected, sediment is detected by the detection unit. This method of accurately simulating river flow conditions during sediment content testing improves both the efficiency and accuracy of sediment content testing. Attached Figure Description

[0023] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0024] Figure 1 This is a schematic flowchart of a river flow simulation method for a fully automated sediment monitoring system disclosed in an embodiment of the present invention; Figure 2 This is a schematic diagram of the structure of a river flow simulation system applied to a fully automated sediment monitoring system, as disclosed in an embodiment of the present invention. Figure 3 This is a schematic diagram of another river flow simulation system applied to a fully automated sediment monitoring system disclosed in an embodiment of the present invention. Detailed Implementation

[0025] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0026] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish different objects, not to describe a specific order. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion. For example, a process, method, apparatus, product, or end that includes a series of steps or units is not limited to the listed steps or units, but may optionally include steps or units not listed, or may optionally include other steps or units inherent to these processes, methods, products, or ends.

[0027] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a separate or alternative embodiment mutually exclusive with other embodiments. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.

[0028] This invention discloses a river flow simulation method and system applied to a fully automated sediment monitoring system. It can accurately simulate river flow conditions during sediment content testing, improving both the efficiency and accuracy of sediment content measurement. Detailed explanations follow.

[0029] Example 1 Please see Figure 1 , Figure 1 This invention discloses a river flow simulation method applied to a fully automated sediment monitoring system. Figure 1 The described method is applied to a fully automated sediment monitoring system, which includes at least a detection unit and a flow pool unit for simulating river flow. Furthermore, it includes a control unit, a water sampling and distribution unit, and may also include a sampling unit and / or a calibration unit. This invention is not limited in its specific embodiments. Figure 1 As shown, the method may include: Step 101: After the river water sample to be analyzed flows into the flow tank unit, determine whether the existing river water sample flowing into the flow tank unit meets the preset sediment analysis conditions.

[0030] Among them, the existing river water samples meeting the preset sediment analysis conditions can include the ratio between the amount of existing river water samples in the flow pool unit and the total capacity of the flow pool unit being greater than or equal to a preset ratio threshold (such as 70% or 80%). Furthermore, it can also include the historical river water samples and / or historical sediments in the flow pool unit being washed away by the river water samples to be analyzed, that is: the existing river water samples in the flow pool unit are the river water at the collection location corresponding to the water area to be analyzed.

[0031] Step 102: When the judgment result of step 101 is yes, determine the multi-dimensional collection information corresponding to the river water sample to be analyzed. The multi-dimensional collection information includes the collection depth of the river water sample to be analyzed and the river water flow when the river water sample to be analyzed is collected.

[0032] Among them, the river flow conditions when collecting river water samples for analysis mainly include the river flow velocity and / or the river flow direction and / or the regularity of river flow.

[0033] Step 103: Based on the acquired multi-dimensional collected information and the pre-trained converged river flow simulation model, generate the flow control parameters corresponding to the existing river water samples.

[0034] In this embodiment of the invention, the pre-trained converged river flow simulation model is obtained by training an initial river flow simulation model (such as a three-dimensional non-constant water and sediment mathematical model) based on multi-dimensional collected parameters and historical simulation control parameters from a large number of historical river samples. This embodiment of the invention does not impose any limitations.

[0035] Step 104: Control the flow pool unit to simulate river water flow according to the flow control parameters; wherein, the detection unit is used to perform sediment detection on the existing river water sample after the flow pool unit simulates the river water flow, and obtain the sediment detection results.

[0036] As can be seen, the embodiments of the present invention can accurately simulate river flow when conducting sediment content testing, thereby improving both the efficiency and accuracy of sediment content testing.

[0037] In an optional embodiment, after generating flow control parameters corresponding to existing river water samples based on the acquired multi-dimensional collected information and a pre-trained converged river flow simulation model, the method may further include: Determine whether the river water sample to be analyzed is currently continuously flowing from the inlet of the flow tank unit to the flow tank unit; if it is determined that the river water sample to be analyzed is not currently continuously flowing to the flow tank unit, then execute the above steps of controlling the flow tank unit to simulate the river water flow based on the flow control parameters. If it is determined that the river water sample to be analyzed is currently continuously flowing into the flow tank unit, then the degree of influence of the real-time flow of the river water sample to be analyzed into the flow tank unit on the simulated river water flow in the flow tank unit is determined; if the degree of influence is less than or equal to the preset degree threshold, then the above steps of controlling the flow tank unit to simulate the river water flow according to the flow control parameters are executed.

[0038] For example, if the real-time flow of the river water sample to be analyzed continuously flowing into the flow tank unit includes water velocity and flow rate, the greater the water velocity and flow rate, the greater their impact on the simulated river flow in the flow tank unit. Similarly, if the inlet direction is opposite to the simulated river flow direction, a higher inlet velocity will have a greater impact on the simulated river flow direction.

[0039] As can be seen, this optional embodiment can also determine whether the river sample to be analyzed continues to flow into the flow pool unit after the flow control parameters are generated. Then, based on the determination result and the degree of influence of the flow control parameters on the simulated river flow in the flow pool unit, it can decide whether to perform subsequent simulation operations based on the generated flow control parameters. This reduces the influence of the flow of the river sample to be analyzed into the flow pool unit on the flow control parameters, which is conducive to improving the simulation accuracy and efficiency of river flow.

[0040] In another alternative embodiment, the method further includes: If the impact exceeds a preset threshold, the flow control parameters are calibrated and updated based on the real-time flow of the river water sample currently flowing into the flow tank unit; and / or, If the impact exceeds the preset threshold, the flow of the river water sample to be analyzed to the flow pool unit will be adjusted.

[0041] As can be seen, this optional embodiment can also adaptively calibrate the flow control parameters and / or adjust the flow of the river sample to be analyzed continuously to the flow pool unit when the influence of the river sample to be analyzed flowing to the flow pool unit on the simulated river flow is significant. This not only helps to improve the accuracy of the flow control parameters, but also further reduces the influence of the river sample to be analyzed flowing to the flow pool unit on the flow control parameters, thereby improving the simulation accuracy and efficiency of river flow. In addition, it can also improve the simulation control flexibility of river flow.

[0042] In another optional embodiment, the real-time flow status of the river water sample to be analyzed as it continuously flows to the flow pool unit includes: the real-time flow velocity, real-time water flow rate, and real-time inlet location of the river water sample to be analyzed as it continuously flows to the flow pool unit. In addition, the flow control parameters include the target underwater thruster to be activated and the corresponding blade rotation rate of the target underwater thruster.

[0043] Alternatively, the concept behind the flow cell unit is as follows: 1. The water sample flows into the water tank from the inlet end, and when the tank is almost full, it will flow out through the overflow pipe; 2. The bottom of the tank is tilted at a certain angle to facilitate the drainage of water and sediment from the outlet. 3. Two underwater thrusters are fixed to the sides of the tank. When it is necessary to detect the sand content, a signal is sent to start operation. The two thrusters are installed diagonally, one above the other, so that the water can be circulated, making the tank achieve an environment similar to that of a body of water. 4. An acrylic sheet is placed on top of the chamber, with four holes pre-drilled. Other testing instruments can be inserted into the chamber water for testing as needed. 5. The detector bracket is located on one side of the housing, making it easy to remove during subsequent maintenance of the laser analyzer; 6. To ensure product stability, the housing, as well as the support for the testing instrument and underwater thruster, are all made of 304 stainless steel.

[0044] As can be seen, this optional embodiment can also analyze the degree of influence of the river sample flowing to the flow pool unit on the simulated river flow in the flow pool unit based on the real-time flow velocity, real-time water flow rate and real-time inlet position of the river sample currently flowing to the flow pool unit. This is beneficial to improving the accuracy and reliability of the influence analysis, and thus to improving the reliability of the simulation control of the river flow.

[0045] In yet another optional embodiment, the method may further include: After determining the multi-dimensional collected information, it is determined whether the collection depth is greater than or equal to a preset depth threshold and whether the distance between the collection position corresponding to the collection depth and the bottom of the water is greater than or equal to a preset first distance threshold. If so, then execute the steps described above to generate flow control parameters corresponding to existing river water samples based on the acquired multi-dimensional collected information and the pre-trained converged river flow simulation model. If not, the naturalness of the river flow when the river water sample to be analyzed is evaluated based on the weather conditions when the sample was collected and the presence of movable targets within the target range (such as the propeller of a movable sand dredger) that are within a distance of less than or equal to a preset second distance threshold. If the naturalness is greater than or equal to a preset naturalness threshold, the above steps are performed to generate the flow control parameters corresponding to the existing river water sample based on the acquired multi-dimensional collection information and the pre-trained converged river flow simulation model.

[0046] As can be seen, this optional embodiment can also ensure the accuracy and authenticity of the determined real river flow conditions before generating flow control parameters for simulating river flow conditions based on multi-dimensional collected information. This reduces the possibility of the simulated river flow conditions not matching the actual situation due to the influence of weather conditions and / or surrounding movable targets, which could affect the subsequent sediment detection results.

[0047] In yet another optional embodiment, the method may further include: If the naturalness is less than the preset naturalness threshold, the river flow conditions when the river water samples to be analyzed are calibrated based on the weather conditions and the situation of movable targets when the river water samples to be analyzed are collected, so as to update the river flow conditions when the river water samples to be analyzed are collected. Naturalness represents the degree to which weather conditions and / or the availability of mobile targets affect the river flow when the river water sample is collected for analysis; the greater the influence, the smaller the naturalness; the smaller the influence, the greater the naturalness.

[0048] As can be seen, this optional embodiment can also calibrate the river flow information in multi-dimensional data collection when weather conditions and / or surrounding movable targets have a significant impact on the actual river flow, thereby improving the accuracy of the river flow information used to generate flow control parameters. This is beneficial to improving the simulation accuracy of river flow, and in turn, improving the accuracy of the sediment situation detected by the detection unit.

[0049] In yet another optional embodiment, the method may further include: After controlling the flow pool unit to simulate river water flow according to the flow control parameters, the current flow of existing river water samples in the flow pool unit is collected based on the simulation condition acquisition sensor set in the flow pool unit in advance. If the difference between the current flow condition and the river water flow condition when the river water sample to be analyzed is less than or equal to the preset difference threshold and the duration of the current flow condition is greater than or equal to the preset duration threshold, a detection trigger command is sent to the detection unit to trigger the detection unit to perform sediment detection operation.

[0050] As can be seen, this optional embodiment can also trigger the detection unit to perform sediment detection operation while ensuring that the flow of real river water is simulated in the flow pool unit. This is beneficial to improving the reliability of the detection unit in performing sediment detection operation, and thus improving the accuracy and reliability of the sediment detection results obtained by the detection unit.

[0051] Example 2 Please see Figure 2 , Figure 2 This is a schematic diagram of the structure of a river flow simulation system applied to a fully automated sediment monitoring system, as disclosed in an embodiment of the present invention. Figure 2 The described river flow simulation system is applied in a fully automated sediment monitoring scenario. This system includes at least a control unit 201 and a flow-through pool unit 202 for simulating river flow conditions. Under the control of the control unit 201, the flow-through pool unit 202 simulates the river flow conditions during water sample collection, enabling the detection unit in the fully automated sediment monitoring scenario to detect sediment conditions based on the river water samples in the flow-through pool unit. Figure 2 As shown, the control unit 201 may include: The information determination subunit 2011 is used to determine whether the existing river water sample flowing into the flow pool unit meets the preset sediment analysis conditions after the river water sample to be analyzed flows into the flow pool unit. When the determination result is yes, the multi-dimensional collection information corresponding to the river water sample to be analyzed is determined. The multi-dimensional collection information includes the collection depth of the river water sample to be analyzed and the river water flow when the river water sample to be analyzed is collected. The parameter generation subunit 2012 is used to generate flow control parameters corresponding to existing river water samples based on the acquired multi-dimensional collected information and the pre-trained converged river flow simulation model. The simulation control subunit 2013 is used to control the flow pool unit to simulate the river water flow according to the flow control parameters; the detection unit is used to perform sediment detection on the existing river water sample after the flow pool unit simulates the river water flow, and obtain the sediment detection results.

[0052] As can be seen, the embodiments of the present invention can accurately simulate river flow when conducting sediment content testing, thereby improving both the efficiency and accuracy of sediment content testing.

[0053] In an optional embodiment, such as Figure 2 As shown, the control unit 201 also includes: The first influence judgment subunit 2014 is used to determine whether the river water sample to be analyzed is currently continuously flowing from the inlet of the flow pool unit to the flow pool unit after the parameter generation subunit 2012 generates the flow control parameters corresponding to the existing river water sample based on the acquired multi-dimensional collected information and the pre-trained converged river flow simulation model. If it is determined that the river water sample to be analyzed is not currently continuously flowing to the flow pool unit, the simulation control subunit 2013 is triggered to perform the above-mentioned operation of controlling the flow pool unit to simulate the river water flow according to the flow control parameters. If it is determined that the river water sample to be analyzed is currently continuously flowing to the flow pool unit, the subunit 2014 determines the degree of influence of the real-time flow of the river water sample to be analyzed on the simulated river water flow of the flow pool unit. If the degree of influence is less than or equal to a preset degree threshold, the simulation control subunit 2013 is triggered to perform the above-mentioned operation of controlling the flow pool unit to simulate the river water flow according to the flow control parameters.

[0054] As can be seen, this optional embodiment can also determine whether the river sample to be analyzed continues to flow into the flow pool unit after the flow control parameters are generated. Then, based on the determination result and the degree of influence of the flow control parameters on the simulated river flow in the flow pool unit, it can decide whether to perform subsequent simulation operations based on the generated flow control parameters. This reduces the influence of the flow of the river sample to be analyzed into the flow pool unit on the flow control parameters, which is conducive to improving the simulation accuracy and efficiency of river flow.

[0055] In yet another alternative embodiment, such as Figure 2 As shown, the control unit 201 may further include: The simulation calibration subunit 2015 is used to calibrate the flow control parameters based on the real-time flow status of the river water sample to be analyzed continuously flowing to the flow cell unit if the influence level is greater than a preset threshold, so as to update the flow control parameters and / or adjust the flow status of the river water sample to be analyzed continuously flowing to the flow cell unit.

[0056] As can be seen, this optional embodiment can also adaptively calibrate the flow control parameters and / or adjust the flow of the river sample to be analyzed continuously to the flow pool unit when the influence of the river sample to be analyzed flowing to the flow pool unit on the simulated river flow is significant. This not only helps to improve the accuracy of the flow control parameters, but also further reduces the influence of the river sample to be analyzed flowing to the flow pool unit on the flow control parameters, thereby improving the simulation accuracy and efficiency of river flow. In addition, it can also improve the simulation control flexibility of river flow.

[0057] In an optional embodiment, the real-time flow status of the river water sample to be analyzed as it continuously flows to the flow pool unit includes: the real-time flow velocity, real-time water flow rate, and real-time inlet location of the river water sample to be analyzed as it continuously flows to the flow pool unit. In addition, the flow control parameters include the target underwater thruster to be activated and the corresponding blade rotation rate of the target underwater thruster.

[0058] As can be seen, this optional embodiment can also analyze the degree of influence of the river sample flowing to the flow pool unit on the simulated river flow in the flow pool unit based on the real-time flow velocity, real-time water flow rate and real-time inlet position of the river sample currently flowing to the flow pool unit. This is beneficial to improving the accuracy and reliability of the influence analysis, and thus to improving the reliability of the simulation control of the river flow.

[0059] In an optional embodiment, such as Figure 2 As shown, the control unit 201 also includes: The second influence judgment subunit 2016 is used to determine, after determining the multi-dimensional collected information, whether the collection depth is greater than or equal to a preset depth threshold and whether the distance between the collection location corresponding to the collection depth and the bottom of the water is greater than or equal to a preset first distance threshold; if so, the parameter generation subunit 2012 is triggered to perform the above-mentioned operation of generating the flow control parameters corresponding to the existing river water sample based on the acquired multi-dimensional collected information and the pre-trained converged river flow simulation model; if not, the naturalness of the river flow when collecting the river water sample to be analyzed is evaluated based on the weather conditions when collecting the river water sample to be analyzed and the situation of movable targets within the target range whose distance from the collection location is less than or equal to a preset second distance threshold; if the naturalness is greater than or equal to a preset naturalness threshold, the parameter generation subunit 2012 is triggered to perform the above-mentioned operation of generating the flow control parameters corresponding to the existing river water sample based on the acquired multi-dimensional collected information and the pre-trained converged river flow simulation model.

[0060] As can be seen, this optional embodiment can also ensure the accuracy and authenticity of the determined real river flow conditions before generating flow control parameters for simulating river flow conditions based on multi-dimensional collected information. This reduces the possibility of the simulated river flow conditions not matching the actual situation due to the influence of weather conditions and / or surrounding movable targets, which could affect the subsequent sediment detection results.

[0061] In an optional embodiment, such as Figure 2 As shown, the control unit 201 also includes: The flow calibration subunit 2017 is used to calibrate the river flow conditions when collecting the river water samples based on the weather conditions and the situation of movable targets when collecting the river water samples, if the naturalness is less than the preset naturalness threshold, so as to update the river flow conditions when collecting the river water samples. Naturalness represents the degree to which weather conditions and / or the availability of mobile targets affect the river flow when the river water sample is collected for analysis; the greater the influence, the smaller the naturalness; the smaller the influence, the greater the naturalness.

[0062] As can be seen, this optional embodiment can also calibrate the river flow information in multi-dimensional data collection when weather conditions and / or surrounding movable targets have a significant impact on the actual river flow, thereby improving the accuracy of the river flow information used to generate flow control parameters. This is beneficial to improving the simulation accuracy of river flow, and in turn, improving the accuracy of the sediment situation detected by the detection unit.

[0063] In an optional embodiment, such as Figure 2 As shown, the control unit 201 also includes: The communication subunit 2018 is used to send a detection trigger command to the detection unit to trigger the sediment detection operation after the flow pool unit simulates the river water flow according to the flow control parameters. This is based on the current flow status of the existing river water sample in the flow pool unit, which is collected by the simulation status acquisition sensor set in the flow pool unit in advance. If the difference between the current flow status and the river water flow status when the river water sample to be analyzed was less than or equal to a preset difference threshold and the duration of the current flow status was greater than or equal to a preset duration threshold, the communication subunit 2018 is used to control the flow pool unit to simulate the river water flow according to the flow control parameters.

[0064] As can be seen, this optional embodiment can also trigger the detection unit to perform sediment detection operation while ensuring that the flow of real river water is simulated in the flow pool unit. This is beneficial to improving the reliability of the detection unit in performing sediment detection operation, and thus improving the accuracy and reliability of the sediment detection results obtained by the detection unit.

[0065] Example 3 Please see Figure 3 , Figure 3 This is a schematic diagram of another river flow simulation system applied to a fully automated sediment monitoring system, as disclosed in an embodiment of the present invention. Figure 3The described river flow simulation system is applied in a fully automated sediment monitoring scenario. This system includes at least a control unit 201 and a flow-through pool unit 202 for simulating river flow conditions. Under the control of the control unit 201, the flow-through pool unit 202 simulates the river flow conditions during water sample collection, enabling the detection unit in the fully automated sediment monitoring scenario to detect sediment conditions based on the river water samples in the flow-through pool unit. Figure 3 As shown, the control unit 201 may include: Memory 2010 containing executable program code; Processor 2020 coupled to memory 2010; The processor 2020 calls the executable program code stored in the memory 2010 to control the flow pool unit 202 to execute any of the steps in the river flow simulation method for a fully automated sediment monitoring system disclosed in the first aspect of the present invention.

[0066] Example 4 This invention discloses a computer storage medium storing computer instructions, which, when invoked, are used to execute some or all of the steps in the fully automated sediment monitoring method disclosed in the first aspect of this invention.

[0067] The structural embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separate, and the components shown as modules may or may not be physical modules; that is, they may be located in one place or distributed across multiple network modules. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs. Those skilled in the art can understand and implement this without any creative effort.

[0068] Through the detailed description of the above embodiments, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus necessary general-purpose hardware platforms, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solutions, in essence or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, including read-only memory (ROM), random access memory (RAM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), one-time programmable read-only memory (OTPROM), electrically-Erasable Programmable Read-Only Memory (EEPROM), compact disc read-only memory (CD-ROM) or other optical disc storage, disk storage, magnetic tape storage, or any other computer-readable medium that can be used to carry or store data.

[0069] Finally, it should be noted that the river flow simulation method and system for a fully automated sediment monitoring system disclosed in the embodiments of the present invention are merely preferred embodiments of the present invention and are only used to illustrate the technical solutions of the present invention, not to limit it. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A river flow simulation method applied to a fully automated sediment monitoring system, characterized in that, The fully automated sediment monitoring system includes at least a detection unit and a flow-through pool unit for simulating river flow conditions, and the method includes: After the river water sample to be analyzed flows into the flow pool unit, it is determined whether the existing river water sample flowing into the flow pool unit meets the preset sediment analysis conditions; when the determination result is yes, the multi-dimensional collection information corresponding to the river water sample to be analyzed is determined, the multi-dimensional collection information includes the collection depth of the river water sample to be analyzed and the river water flow when the river water sample to be analyzed is collected. Based on the acquired multi-dimensional collected information and the pre-trained converged river flow simulation model, the flow control parameters corresponding to the existing river water samples are generated. The flow control unit is controlled according to the flow control parameters to simulate the river water flow; wherein, the detection unit is used to perform sediment detection on the existing river water sample after the flow control unit simulates the river water flow, and obtain sediment detection results.

2. The river flow simulation method applied to a fully automated sediment monitoring system according to claim 1, characterized in that, After generating the flow control parameters corresponding to the existing river water samples based on the acquired multi-dimensional collected information and the pre-trained converged river flow simulation model, the method further includes: Determine whether the river water sample to be analyzed is currently continuously flowing from the inlet of the flow tank unit to the flow tank unit; if it is determined that the river water sample to be analyzed is not currently continuously flowing to the flow tank unit, then execute the step of controlling the flow tank unit to simulate the river water flow according to the flow control parameters. If it is determined that the river water sample to be analyzed is currently continuously flowing into the flow pool unit, then the degree of influence of the real-time flow of the river water sample to be analyzed into the flow pool unit on the simulated river water flow of the flow pool unit is determined; if the degree of influence is less than or equal to a preset degree threshold, then the step of controlling the flow pool unit to simulate the river water flow according to the flow control parameters is executed.

3. The river flow simulation method applied to a fully automated sediment monitoring system according to claim 2, characterized in that, The method further includes: If the degree of influence exceeds the preset threshold, the flow control parameters are calibrated and updated based on the real-time flow status of the river water sample being analyzed as it continuously flows into the flow tank unit; and / or, If the degree of influence is greater than the preset threshold, the flow of the river water sample to be analyzed to the flow pool unit will be adjusted.

4. The river flow simulation method applied to a fully automated sediment monitoring system according to claim 2 or 3, characterized in that, The real-time flow status of the river water sample to be analyzed as it continuously flows into the flow pool unit includes: the real-time flow velocity, real-time water flow rate, and real-time inlet location of the river water sample to be analyzed as it continuously flows into the flow pool unit. Furthermore, the flow control parameters include the target underwater thruster to be activated and the blade rotation rate corresponding to the target underwater thruster.

5. The river flow simulation method applied to a fully automated sediment monitoring system according to any one of claims 1-3, characterized in that, The method further includes: After determining the multi-dimensional collected information, it is determined whether the collection depth is greater than or equal to a preset depth threshold and whether the distance between the collection position corresponding to the collection depth and the bottom of the water is greater than or equal to a preset first distance threshold. If so, then the step of generating the flow control parameters corresponding to the existing river water sample based on the acquired multi-dimensional collected information and the pre-trained converged river flow simulation model is executed. If not, then based on the weather conditions when the river water sample to be analyzed was collected and the number of movable targets within the target range whose distance from the collection location is less than or equal to a preset second distance threshold, the naturalness of the river flow when the river water sample to be analyzed was evaluated; if the naturalness is greater than or equal to the preset naturalness threshold, then the step of generating the flow control parameters corresponding to the existing river water sample based on the acquired multi-dimensional collection information and the pre-trained converged river flow simulation model was executed.

6. The river flow simulation method applied to a fully automated sediment monitoring system according to claim 5, characterized in that, The method further includes: If the naturalness is less than the preset naturalness threshold, the river flow condition when the river water sample to be analyzed is calibrated according to the weather conditions and the mobile target conditions when the river water sample to be analyzed is collected, so as to update the river flow condition when the river water sample to be analyzed is collected. Wherein, the naturalness represents the degree of influence of the weather conditions and / or the mobile target conditions on the river flow when the river water sample to be analyzed is collected; the greater the degree of influence, the smaller the naturalness; the smaller the degree of influence, the greater the naturalness.

7. The river flow simulation method applied to a fully automated sediment monitoring system according to any one of claims 1, 2, 3, and 6, characterized in that, The method further includes: After controlling the flow pool unit to simulate the river water flow according to the flow control parameters, the current flow of existing river water samples in the flow pool unit is collected based on the simulation situation acquisition sensor pre-set in the flow pool unit. If the difference between the current flow and the river water flow when the river water sample to be analyzed is less than or equal to a preset difference threshold and the duration of the current flow is greater than or equal to a preset duration threshold, a detection trigger command is sent to the detection unit to trigger the detection unit to perform the sediment detection operation.

8. A river flow simulation system applied to a fully automated sediment monitoring system, characterized in that, The system includes a control unit and a flow pool unit; wherein, the control unit includes: The information determination subunit is used to determine whether the existing river water sample flowing into the flow pool unit meets the preset sediment analysis conditions after the river water sample to be analyzed flows into the flow pool unit; when the determination result is yes, the multi-dimensional collection information corresponding to the river water sample to be analyzed is determined, the multi-dimensional collection information includes the collection depth of the river water sample to be analyzed and the river water flow when the river water sample to be analyzed is collected. The parameter generation subunit is used to generate flow control parameters corresponding to the existing river water sample based on the acquired multi-dimensional collection information and the pre-trained converged river flow simulation model. The simulation control subunit is used to control the flow pool unit to simulate the river water flow according to the flow control parameters; wherein, the detection unit is used to perform sediment detection on the existing river water sample after the flow pool unit simulates the river water flow, and obtain sediment detection results.

9. A river flow simulation system applied to a fully automated sediment monitoring system, characterized in that, The system includes a control unit and a flow pool unit; wherein, the control unit includes: Memory containing executable program code; A processor coupled to the memory; The processor calls the executable program code stored in the memory to control the flow pool unit to perform the steps in the river flow simulation method applied to a fully automated sediment monitoring system as described in any one of claims 1-7.

10. A computer storage medium, characterized in that, The computer storage medium stores computer instructions, which, when invoked, are used to execute the river flow simulation method for a fully automated sediment monitoring system as described in any one of claims 1-7.

Images