A water conservancy and hydrology sediment content detection system and method

Abstract

The present invention relates to the technical field of sand content detection, and discloses a water conservancy and hydrology sand content detection system and method, the system comprising: a collection module divides the water area to be detected into a number of identical sampling ranges, and performs multi-point sampling in each range, and performs secondary sampling after a preset time interval, a judgment module calculates the sand content of each sample, and judges whether the sand content needs to be adjusted according to the sand particle size information, an adjustment module adjusts the sand content according to the sand particle size, and calculates the average sand content within the same sampling range at the same time, the adjustment module also collects water flow information, and adjusts the average sand content, and finally, a decision module summarizes the final sand content results within each sampling range and integrates them into a spatial sand content distribution map. The present invention can provide high-precision sand content detection results.

Description

Technical Field

[0001] The present invention relates to the technical field of sediment content detection, and in particular to a water conservancy and hydrology sediment content detection system and method. Background Art

[0002] The hydrology and water conservancy industry is an environmental protection industry that mainly studies and focuses on solving water cycle problems, especially sediments in rivers and reservoirs, river water pollution, and urban drainage. Among them, sand content is an important indicator of water quality. Sand content is generally the mass of dry sand contained in a unit volume of muddy water.

[0003] Traditional methods of detecting sediment content may rely on a small number of sampling points or single sampling, resulting in insufficient sample representativeness and failure to fully reflect the sediment content of the water area. Secondly, many existing detection methods ignore the impact of sand particle size on sediment content measurement results, which may lead to inaccurate data. In addition, existing technologies often fail to fully integrate water flow information and fail to accurately reflect the impact of water flow information on sediment content. In summary, traditional sediment content detection data has low accuracy.

[0004] Therefore, it is necessary to provide a water conservancy and hydrology sediment content detection system and method to solve the low accuracy of traditional sediment content detection data. Summary of the invention

[0005] In view of this, the present invention proposes a water conservancy and hydrology sediment content detection system and method, aiming to solve the problem of low accuracy of traditional sediment content detection data.

[0006] On the one hand, the present invention provides a water conservancy and hydrology sediment content detection system, comprising:

[0007] The acquisition module is configured to divide the water area to be detected into a plurality of identical sampling ranges, and sample all the sampling ranges simultaneously using the same sampling method, wherein the sampling method is multi-point sampling, and after a preset time interval, the same sampling points in all the sampling ranges are sampled again using the same sampling method simultaneously;

[0008] A judgment module is configured to calculate the sand content of each sampling point sample, collect sand particle size information in each sampling point sample, and judge whether the sand content of the sampling point sample needs to be adjusted according to the sand particle size information;

[0009] The adjustment module is configured to adjust the sand content of the sample at the sampling point according to the sand particle size information when it is determined that the sand content of the sample at the sampling point needs to be adjusted, to obtain the final sand content of the sample at the sampling point, and to calculate the average sand content within the same sampling range at the same time according to the final sand content of all sampling points within the same sampling range at the same time;

[0010] The adjustment module is further configured to collect water flow information during sampling, determine whether the average value of the sediment content needs to be adjusted, and when it is determined that adjustment is needed, adjust the average value of the sediment content according to the water flow information during sampling to obtain a final average value of the sediment content; wherein the water flow information includes flow velocity and water temperature;

[0011] The decision module is configured to obtain the final sediment content result within the sampling range based on the average value of the final sediment content obtained from two samplings within the same range, summarize the final sediment content results within all sampling ranges, and integrate them into a sediment content distribution map in the detected water area.

[0012] Furthermore, when the acquisition module is configured to divide the water area to be detected into a plurality of identical sampling ranges, it includes:

[0013] Use a surveying tool to measure the total area of ​​the water area to be tested, and divide the water area to be tested into a number of rectangular grids of the same size along the direction of the water flow, each rectangular grid being a sampling range; wherein the surveying tool includes GPS and drone aerial survey;

[0014] Several sampling points are evenly arranged at equal distances within each sampling range, and unique numbers are set for each sampling range and each sampling point.

[0015] Furthermore, the total area of ​​the water area to be detected is measured using a surveying tool, and the water area to be detected is divided into a plurality of rectangular grids of the same size along the water flow direction, including:

[0016] Using the surveying and mapping tool to obtain a two-dimensional plane map of the water area to be inspected;

[0017] The surveying and mapping data is processed through the geographic information system to extract the boundary line of the water area and generate a rectangular frame to enclose the entire water area to be detected;

[0018] Divide the water area in the rectangular frame into a number of rectangular grids of the same size along the direction of water flow;

[0019] The rectangular grids beyond the water area boundary and the rectangular grids that cannot completely cover the water area are marked as boundary grids;

[0020] The grid parts beyond the water boundary in the boundary grid are cut off, and only the parts within the water area and the sampling points within the water area are retained.

[0021] Further, the judgment module is configured to calculate the sand content of each sampling point sample and collect sand particle size information in each sampling point sample, and judge whether the sand content of the sampling point sample needs to be adjusted according to the sand particle size information, including:

[0022] A maximum sand particle size threshold is pre-set, and when the particle size of the sand in the sample at the sampling point is greater than the maximum sand particle size threshold, it is determined that the sand content of the sample at the sampling point needs to be adjusted;

[0023] When the particle size of the sand in the sample at the sampling point is less than or equal to the maximum sand particle size threshold, it is determined that there is no need to adjust the sand content of the sample at the sampling point.

[0024] Furthermore, the maximum sand particle size threshold is preset, and when the particle size of the sand in the sample at the sampling point is greater than the maximum sand particle size threshold, it is determined that the sand content of the sample at the sampling point needs to be adjusted, including:

[0025] The sand content of the sample at the sampling point is adjusted according to the following formula:

[0026] C1=C0×{1+k×[(ds−dmax) / dmax]};

[0027] In the above formula, C1 represents the sand content of the sampling point sample after adjustment, C0 represents the sand content of the sampling point sample before adjustment, k represents the particle size adjustment coefficient, and the value range of k is [0.1, 2], ds represents the maximum sand particle size in the sampling point sample, and dmax represents the maximum sand particle size threshold.

[0028] Furthermore, the adjustment module is further configured to collect water flow information during sampling, and to determine whether the average value of the sediment content needs to be adjusted, including:

[0029] Preset a maximum flow velocity change amplitude threshold, collect the maximum and minimum flow velocity values ​​at each sampling, and calculate the flow velocity change amplitude value during sampling. If the flow velocity change amplitude value during sampling is greater than the maximum flow velocity change amplitude threshold, it is determined that the average sediment content needs to be adjusted;

[0030] If the velocity variation amplitude value during sampling is less than or equal to the maximum velocity variation amplitude threshold value, it is determined that there is no need to adjust the average value of the sediment content;

[0031] Among them, the flow velocity change amplitude value during sampling is calculated by the following formula:

[0032] ΔV = |V1 − V2 | / V2 × 100%;

[0033] In the above formula, ΔV represents the flow velocity change amplitude during sampling, V1 represents the maximum flow velocity during sampling, and V2 represents the minimum flow velocity during sampling.

[0034] Furthermore, when it is determined that adjustment is needed, the average value of the sediment content is adjusted according to the water flow information at the time of sampling to obtain the final average value of the sediment content, including:

[0035] The final average sand content is obtained according to the following formula:

[0036] Ct=Cp×[1+k1×(ΔV / Vmax)+k2×(T−T1) / T1)];

[0037] In the above formula, Ct represents the final average sediment content, Cp represents the average sediment content, k1 represents the velocity adjustment coefficient, and the value range of k1 is [0.1, 2], ΔV represents the velocity change amplitude during sampling, Vmax represents the maximum velocity change amplitude threshold, k2 represents the temperature adjustment coefficient, and the value range of k2 is [0.01, 0.5], T represents the water temperature during sampling, and T1 represents the standard water temperature.

[0038] Further, the decision module is configured to obtain the final sediment content result within the sampling range according to the average value of the final sediment content obtained by two samplings within the same range, including:

[0039] The final sand content within the sampling range is calculated by the following formula:

[0040] Cs=(Ct1+Ct2) / 2;

[0041] In the above formula, Cs represents the final sediment content result within the sampling range, Ct1 represents the average final sediment content within the sampling range during the first sampling, and Ct2 represents the average final sediment content within the sampling range during the second sampling.

[0042] Furthermore, the decision module summarizes the final sediment content results within all sampling ranges and integrates them into a sediment content distribution map in the detection water area space, including:

[0043] Arrange each of the final sediment content results according to the water flow direction;

[0044] Use a line graph to connect each final sediment content result arranged by water flow direction into a continuous line. Each data point in the line graph represents the final sediment content value of a sampling range, and the connecting line is used to show the changing trend of sediment content along the water flow direction.

[0045] The line graph is mapped onto the corresponding two-dimensional plane graph.

[0046] Compared with the prior art, the present invention has the following beneficial effects:

[0047] First, the present invention divides the water area to be tested into several identical sampling ranges, and adopts a multi-point sampling method to collect data from all sampling ranges at the same time, ensuring that the samples can cover different areas of the water area, thereby obtaining comprehensive water quality data; the multi-point sampling method can effectively reduce the data deviation caused by local anomalies, making the results of each sampling range more reliable; in the data processing process, the present invention uses a judgment module to calculate the sand content of the sample at each sampling point, and combines the sand particle size information to determine whether the sand content of the sample at the sampling point needs to be adjusted, because sand particles of different particle sizes have different effects on the sand content. The present invention can accurately adjust the sand content of the sample at the sampling point by the sand particle size, thereby improving the accuracy of the detection; the adjustment module adjusts the sand content accordingly according to the particle size information, and adjusts the average sand content by collecting water flow information, thereby ensuring the accuracy of the final average sand content; the decision module integrates the two final sand content averages within the same range to obtain the final sand content result, and generates a spatial sand content distribution map, which not only intuitively displays the sand content distribution of the water area, but also reflects the change trend of the final sand content result along the water flow direction, providing information for environmental monitoring, scientific research and decision support. In summary, the present invention can provide high-precision sand content detection results, and support scientific water quality management and environmental protection work.

[0048] On the other hand, the present application also provides a method for detecting water conservancy and hydrological sediment content, comprising:

[0049] The water area to be tested is divided into several identical sampling ranges, and all the sampling ranges are sampled simultaneously using the same sampling method, wherein the sampling method is multi-point sampling, and after a preset time interval, the same sampling points in all the sampling ranges are sampled again using the same sampling method;

[0050] Calculate the sand content of each sampling point sample, collect sand particle size information in each sampling point sample, and determine whether the sand content of the sampling point sample needs to be adjusted according to the sand particle size information;

[0051] When it is determined that the sand content of the sample at the sampling point needs to be adjusted, the sand content of the sample at the sampling point is adjusted according to the sand particle size information to obtain the final sand content of the sample at the sampling point, and the average sand content within the same sampling range at the same time is calculated according to the final sand content of all sampling points within the same sampling range at the same time;

[0052] Collecting water flow information during sampling, determining whether the average value of the sediment content needs to be adjusted, and when it is determined that adjustment is needed, adjusting the average value of the sediment content according to the water flow information during sampling to obtain a final average value of the sediment content; wherein the water flow information includes flow velocity and water temperature;

[0053] The final sediment content result within the sampling range is obtained based on the average value of the final sediment content obtained from two samplings within the same range. The final sediment content results within all sampling ranges are summarized and integrated into a sediment content distribution map in the detected water area.

[0054] It can be understood that the water conservancy and hydrological sediment content detection system and method provided in the present application have the same beneficial effects and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0056] Figure 1 A functional block diagram of a water conservancy and hydrology sediment content detection system provided by an embodiment of the present invention;

[0057] Figure 2 A flow chart of a method for detecting water conservancy and hydrological sediment content provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0058] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0059] In some embodiments of the present application, see Figure 1 As shown, this embodiment provides a water conservancy and hydrology sediment content detection system, including:

[0060] The acquisition module is configured to divide the water area to be detected into a plurality of identical sampling ranges, and sample all the sampling ranges at the same time using the same sampling method, wherein the sampling method is multi-point sampling, and after a preset time interval, the same sampling points in all the sampling ranges are sampled again using the same sampling method at the same time;

[0061] The judgment module is configured to calculate the sand content of each sampling point sample, collect the sand particle size information in each sampling point sample, and judge whether the sand content of the sampling point sample needs to be adjusted according to the sand particle size information;

[0062] The adjustment module is configured to adjust the sand content of the sample at the sampling point according to the sand particle size information when it is determined that the sand content of the sample at the sampling point needs to be adjusted, to obtain the final sand content of the sample at the sampling point, and to calculate the average sand content within the same sampling range at the same time according to the final sand content of all sampling points within the same sampling range at the same time;

[0063] The adjustment module is further configured to collect water flow information during sampling, determine whether the average value of the sediment content needs to be adjusted, and when it is determined that adjustment is needed, adjust the average value of the sediment content according to the water flow information during sampling to obtain a final average value of the sediment content; wherein the water flow information includes flow velocity and water temperature;

[0064] The decision module is configured to obtain the final sediment content result within the sampling range based on the average final sediment content obtained from two samplings within the same range, summarize the final sediment content results within all sampling ranges, and integrate them into a sediment content distribution map in the detection water space.

[0065] It can be understood that, firstly, the present invention divides the water area to be tested into several identical sampling ranges, and adopts a multi-point sampling method to collect data from all sampling ranges at the same time, ensuring that the samples can cover different areas of the water area, thereby obtaining comprehensive water quality data; the multi-point sampling method can effectively reduce the data deviation caused by local anomalies, making the results of each sampling range more reliable; in the data processing process, the present invention uses a judgment module to calculate the sand content of the sample at each sampling point, and combines the sand particle size information to determine whether the sand content of the sample at the sampling point needs to be adjusted. The present invention can accurately adjust the sand content of the sample at the sampling point by the sand particle size, thereby improving the accuracy of the detection; the adjustment module adjusts the sand content accordingly according to the particle size information, and adjusts the average sand content by collecting water flow information, thereby ensuring the accuracy of the final average sand content; the decision module integrates the two final sand content averages within the same range to obtain the final sand content result, and generates a spatial sand content distribution map, which not only intuitively displays the sand content distribution of the water area, but also reflects the change trend of the final sand content result along the water flow direction, providing information for environmental monitoring, scientific research and decision support. In summary, the present invention can provide high-precision sand content detection results, and support scientific water quality management and environmental protection work.

[0066] In some embodiments of the present application, when the acquisition module is configured to demarcate the water area to be detected into a plurality of identical sampling ranges, it includes:

[0067] Use surveying tools to measure the total area of ​​the water area to be tested, and divide the water area to be tested into several rectangular grids of the same size along the direction of the water flow, each rectangular grid being a sampling range; surveying tools include GPS and drone aerial survey;

[0068] Several sampling points are evenly arranged at equal distances within each sampling range, and unique numbers are set for each sampling range and each sampling point.

[0069] It can be understood that the acquisition module significantly improves the accuracy and systematicity of monitoring by dividing the water area to be tested into several identical sampling ranges. First, the total area of ​​the water area is measured using surveying tools (such as GPS and drone aerial survey) and divided into several rectangular grids of the same size along the direction of the water flow, ensuring the uniformity and representativeness of the sampling range and effectively reducing the sampling error caused by the irregular shape of the water area. Each rectangular grid is defined as a sampling range, and several sampling points are arranged at equal distances within each sampling range, and unique numbers are set for them, which further improves the systematicness of data management and the comprehensiveness of sampling, ensuring uniform and accurate sampling of various areas of the water area, thereby providing more comprehensive and accurate sediment content data, which is conducive to scientific decision-making and effective water quality management.

[0070] In some embodiments of the present application, when the total area of ​​the water area to be detected is measured using a surveying tool and the water area to be detected is divided into a plurality of rectangular grids of the same size along the water flow direction, the method includes:

[0071] Use mapping tools to obtain a two-dimensional map of the water area to be inspected;

[0072] The surveying and mapping data is processed through the geographic information system to extract the boundary line of the water area and generate a rectangular frame to enclose the entire water area to be detected;

[0073] Divide the water area in the rectangular frame into a number of rectangular grids of the same size along the direction of water flow;

[0074] The rectangular grids beyond the water area boundary and the rectangular grids that cannot completely cover the water area are marked as boundary grids;

[0075] The grid parts beyond the water boundary in the boundary grid are cut off, and only the parts within the water area and the sampling points within the water area are retained.

[0076] It is understandable that first, a two-dimensional plane map of the water area is obtained using surveying and mapping tools, and the surveying and mapping data is processed through a geographic information system (GIS) to extract the boundary line of the water area, thereby generating a rectangular frame that envelops the entire water area, ensuring that the basis for grid division is accurate geographic data. Then the water area within the rectangular frame is divided into rectangular grids of the same size to ensure the uniformity and representativeness of each grid. For those grids that exceed the boundary of the water area or cannot completely cover the water area, they are marked as boundary grids, and the parts that exceed the boundary of the water area are cut off, leaving only the parts and sampling points within the water area, ensuring that all sampling points are located in the actual water area, improving the accuracy and reliability of the data, effectively reducing the errors caused by incomplete grid coverage of the water area or boundary effects, and providing more accurate and reliable sediment content data.

[0077] Specifically, Geographic Information System (GIS) is sometimes called "geographic information system". It is a specific and very important spatial information system. It is a technical system that collects, stores, manages, calculates, analyzes, displays and describes the geographical distribution data in the entire or part of the earth's surface (including the atmosphere) with the support of computer hardware and software systems.

[0078] In some embodiments of the present application, the judgment module is configured to calculate the sand content of each sampling point sample and collect sand particle size information in each sampling point sample, and judge whether the sand content of the sampling point sample needs to be adjusted according to the sand particle size information, including:

[0079] A maximum sand particle size threshold is pre-set. When the particle size of the sand in the sample at the sampling point is greater than the maximum sand particle size threshold, it is determined that the sand content of the sample at the sampling point needs to be adjusted.

[0080] When the particle size of the sand in the sample at the sampling point is less than or equal to the maximum sand particle size threshold, it is determined that there is no need to adjust the sand content of the sample at the sampling point.

[0081] It is understandable that pre-setting the maximum sand particle size threshold can effectively distinguish the impact of sand particles of different sizes on the measurement of sediment content. When the sand particle size is greater than the threshold, it means that the contribution of these sand particles to the sediment content is different from that of sand particles with smaller particle sizes. Therefore, the sediment content of the sample needs to be adjusted to ensure the accuracy and consistency of the measurement. On the contrary, when the sand particle size is less than or equal to the maximum threshold, its impact on the sediment content is small or negligible, so there is no need to adjust the sediment content. By accurately identifying and adjusting the influencing factors, the accuracy and reliability of the sediment content measurement are effectively improved, the measurement error caused by the difference in particle size is reduced, and more reliable data support is provided for water quality monitoring.

[0082] In some embodiments of the present application, a maximum sand particle size threshold is preset. When the particle size of the sand in the sample at the sampling point is greater than the maximum sand particle size threshold, it is determined that the sand content of the sample at the sampling point needs to be adjusted, including:

[0083] The sand content of the samples at the sampling point is adjusted according to the following formula:

[0084] C1=C0×{1+k×[(ds−dmax) / dmax]};

[0085] In the above formula, C1 represents the sand content of the sampling point sample after adjustment, C0 represents the sand content of the sampling point sample before adjustment, k represents the particle size adjustment coefficient, and the value range of k is [0.1, 2], ds represents the maximum sand particle size in the sampling point sample, and dmax represents the maximum sand particle size threshold.

[0086] It can be understood that the sand content is dynamically adjusted according to the difference between the sand particle size and the threshold value, and the adjustment coefficient k has a value range of [0.1, 2], which can effectively handle different degrees of particle size deviations, ensuring that corresponding adjustments are made only when the particle size exceeds the standard, and can accurately compensate for the impact of large-size sand on the total sand content, and prevent measurement errors caused by particle size differences, thereby providing more reliable and accurate sand content data and improving the accuracy of monitoring. Preferably, the larger the maximum sand particle size in the sample at the sampling point, the larger k.

[0087] In some embodiments of the present application, the adjustment module is further configured to collect water flow information during sampling, and to determine whether the average value of the sediment content needs to be adjusted, including:

[0088] The maximum velocity change amplitude threshold is set in advance, the maximum and minimum velocity values ​​are collected at each sampling, and the velocity change amplitude value at the time of sampling is calculated. If the velocity change amplitude value at the time of sampling is greater than the maximum velocity change amplitude threshold, it is determined that the average sediment content needs to be adjusted;

[0089] If the velocity change amplitude value during sampling is less than or equal to the maximum velocity change amplitude threshold, it is determined that there is no need to adjust the average sediment content;

[0090] Among them, the flow velocity change amplitude value during sampling is calculated by the following formula:

[0091] ΔV = |V1 − V2 | / V2 × 100%;

[0092] In the above formula, ΔV represents the flow velocity change amplitude during sampling, V1 represents the maximum flow velocity during sampling, and V2 represents the minimum flow velocity during sampling.

[0093] It is understandable that when ΔV exceeds the preset threshold, it indicates that there is a large change in the water flow, which may lead to deviations in the sampling results. Adjusting the sediment content based on the flow velocity change amplitude during sampling can more accurately reflect the actual sediment content of the water body and avoid errors caused by water flow changes. On the contrary, when the flow velocity changes by a small amplitude, it indicates that the water flow is relatively stable. At this time, there is no need to adjust the average sediment content, thereby simplifying the processing process and maintaining the stability of the data. The dynamic change of the flow velocity is combined to optimize the measurement results of the sediment content, and the adaptability and data accuracy under different flow velocity conditions are improved.

[0094] In some embodiments of the present application, when it is determined that adjustment is required, the average value of the sediment content is adjusted according to the water flow information at the time of sampling to obtain the final average value of the sediment content, including:

[0095] The final average sand content is obtained according to the following formula:

[0096] Ct=Cp×[1+k1×(ΔV / Vmax)+k2×(T−T1) / T1)];

[0097] In the above formula, Ct represents the final average sediment content, Cp represents the average sediment content, k1 represents the velocity adjustment coefficient, and the value range of k1 is [0.1, 2], ΔV represents the velocity change amplitude during sampling, Vmax represents the maximum velocity change amplitude threshold, k2 represents the temperature adjustment coefficient, and the value range of k2 is [0.01, 0.5], T represents the water temperature during sampling, and T1 represents the standard water temperature.

[0098] It is understandable that adjusting the average sediment content according to the influence of the flow velocity change amplitude and the water temperature at the time of sampling can more accurately reflect the actual influence of water flow conditions on sediment content. k1 and k2 adjust the influence of flow velocity change and temperature on sediment content respectively, ensuring that under different flow velocity and water temperature conditions, the calculation results of sediment content can truly reflect the water body conditions, adapt to the dynamic changes of water flow and temperature, reduce the measurement errors caused by these factors, and thus improve the accuracy and reliability of the data, which not only optimizes the measurement results of sediment content, but also improves the applicability and accuracy of the detection system under different environmental conditions. Specifically, when the average final sediment content within the sampling range is Ct1 during the first sampling, and the average final sediment content within the sampling range is Ct2 during the second sampling, the greater the flow velocity change amplitude during sampling, the greater the k1; the higher the water temperature during sampling, the greater the k2.

[0099] In some embodiments of the present application, the decision module is configured to obtain the final sediment content result within the sampling range according to the average value of the final sediment content obtained by two samplings within the same range, including:

[0100] The final sand content within the sampling range is calculated by the following formula:

[0101] Cs=(Ct1+Ct2) / 2;

[0102] In the above formula, Cs represents the final sediment content result within the sampling range, Ct1 represents the average final sediment content within the sampling range during the first sampling, and Ct2 represents the average final sediment content within the sampling range during the second sampling.

[0103] In some embodiments of the present application, when the decision module aggregates the final sediment content results within all sampling ranges and integrates them into a sediment content distribution map in the detection water area space, it includes:

[0104] Arrange each final sediment content result according to the water flow direction;

[0105] Use a line graph to connect each final sediment content result arranged by water flow direction into a continuous line. Each data point in the line graph represents the final sediment content value of a sampling range, and the connecting line is used to show the changing trend of sediment content along the water flow direction.

[0106] Map the line graph onto the corresponding two-dimensional plane graph.

[0107] It is understandable that arranging each final sediment content result according to the direction of water flow and connecting them into a continuous broken line using a line graph can clearly show the changing trend of sediment content along the direction of water flow, which can help researchers and managers quickly identify the spatial variation characteristics of sediment content and potential abnormal areas. The connecting lines of the line graph clearly show the changing trend of sediment content, making the distribution of sediment content in different areas of the water area clear at a glance. In addition, mapping the line graph onto a two-dimensional plane further enhances the visualization of the data, so that the sediment content distribution map can be combined with actual geographic information, which is convenient for analyzing and making decisions on the overall status of the water area. This visualization method not only improves the readability of the data, but also provides strong support for water resources management, environmental monitoring and engineering design.

[0108] In summary, firstly, the present invention divides the water area to be tested into several identical sampling ranges, and adopts a multi-point sampling method to collect data from all sampling ranges at the same time, ensuring that the samples can cover different areas of the water area, thereby obtaining comprehensive water quality data; the multi-point sampling method can effectively reduce the data deviation caused by local anomalies, making the results of each sampling range more reliable; in the data processing process, the present invention uses a judgment module to calculate the sand content of the sample at each sampling point, and combines the sand particle size information to determine whether the sand content of the sample at the sampling point needs to be adjusted, because the influence of sand particles of different particle sizes on the sand content is different At the same time, the present invention can accurately adjust the sand content of the sampling point samples by the sand particle size, thereby improving the accuracy of the detection; the adjustment module adjusts the sand content accordingly according to the particle size information, and adjusts the average sand content by collecting water flow information, thereby ensuring the accuracy of the final average sand content; the decision module integrates the two final sand content averages within the same range to obtain the final sand content result, and generates a spatial sand content distribution map, which not only intuitively displays the sand content distribution of the water area, but also reflects the change trend of the final sand content result along the water flow direction, providing information for environmental monitoring, scientific research and decision support. In summary, the present invention can provide high-precision sand content detection results, and support scientific water quality management and environmental protection work.

[0109] On the other hand, see Figure 2 As shown, the present application also provides a water conservancy and hydrological sediment content detection method, which is applied to the above-mentioned water conservancy and hydrological sediment content detection system, and includes the following steps:

[0110] S100, dividing the water area to be tested into several identical sampling ranges, sampling all the sampling ranges at the same time using the same sampling method, the sampling method is multi-point sampling, and after a preset time interval, resampling the same sampling points in all the sampling ranges at the same time using the same sampling method;

[0111] S200, calculating the sand content of each sampling point sample, and collecting the sand particle size information in each sampling point sample, and judging whether the sand content of the sampling point sample needs to be adjusted according to the sand particle size information;

[0112] S300, when it is determined that the sand content of the sample at the sampling point needs to be adjusted, the sand content of the sample at the sampling point is adjusted according to the sand particle size information to obtain the final sand content of the sample at the sampling point, and the average sand content within the same sampling range at the same time is calculated according to the final sand content of all sampling points within the same sampling range at the same time;

[0113] S400, collecting water flow information during sampling, determining whether the average value of the sediment content needs to be adjusted, and when it is determined that adjustment is needed, adjusting the average value of the sediment content according to the water flow information during sampling to obtain a final average value of the sediment content; wherein the water flow information includes flow velocity and water temperature;

[0114] S500, according to the average value of the final sediment content obtained by two samplings within the same range, the final sediment content result within the sampling range is obtained, the final sediment content results within all sampling ranges are summarized, and integrated into a sediment content distribution map in the detection water area space.

[0115] It can be understood that S100 ensures the extensiveness and representativeness of the samples by dividing the water area to be tested into several identical sampling ranges and performing multi-point sampling in each range, effectively reducing the deviation that may be caused by single-point data; S200 further calculates the sand content of the samples at each sampling point and considers the sand particle size information to determine whether the sand content of the sample needs to be adjusted, which significantly improves the accuracy of the data; S300 adjusts the sand content according to the sand particle size information when it determines that adjustment is needed, ensuring the accuracy of the final sand content of each sampling point, and calculates the average sand content within the sampling range, thereby providing accurate data at the same time; S400 collects water flow information (including flow rate and water temperature) during sampling, and makes necessary adjustments to the average sand content based on this information, further enhancing the reliability of the data. These adjustments take into account the dynamic changes of water flow and ensure the accuracy of measurement results under different environmental conditions. Finally, S500 summarizes the final sediment content results within all sampling ranges and integrates them into a spatial sediment content distribution map. The visual data display method enables users to clearly understand the spatial distribution of sediment content in the water area, thereby supporting scientific decision-making and effective water quality management. In summary, the present invention significantly improves the comprehensiveness, accuracy and reliability of sediment content detection.

[0116] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0117] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0118] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0119] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0120] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A water conservancy and hydrology sediment content detection system, characterized in that: include: The acquisition module is configured to divide the water area to be detected into a plurality of identical sampling ranges, and sample all the sampling ranges simultaneously using the same sampling method, wherein the sampling method is multi-point sampling, and after a preset time interval, the same sampling points in all the sampling ranges are sampled again using the same sampling method simultaneously; A judgment module is configured to calculate the sand content of each sampling point sample, collect sand particle size information in each sampling point sample, and judge whether the sand content of the sampling point sample needs to be adjusted according to the sand particle size information; The adjustment module is configured to adjust the sand content of the sample at the sampling point according to the sand particle size information when it is determined that the sand content of the sample at the sampling point needs to be adjusted, to obtain the final sand content of the sample at the sampling point, and to calculate the average sand content within the same sampling range at the same time according to the final sand content of all sampling points within the same sampling range at the same time; The adjustment module is further configured to collect water flow information during sampling, determine whether the average value of the sediment content needs to be adjusted, and when it is determined that adjustment is needed, adjust the average value of the sediment content according to the water flow information during sampling to obtain a final average value of the sediment content; wherein the water flow information includes flow velocity and water temperature; The decision module is configured to obtain the final sediment content result within the sampling range according to the average value of the final sediment content obtained by two samplings within the same range, summarize the final sediment content results within all sampling ranges, and integrate them into a sediment content distribution map in the detection water area space; The judgment module is configured to calculate the sand content of each sampling point sample and collect sand particle size information in each sampling point sample, and judge whether the sand content of the sampling point sample needs to be adjusted according to the sand particle size information, including: A maximum sand particle size threshold is pre-set, and when the particle size of the sand in the sample at the sampling point is greater than the maximum sand particle size threshold, it is determined that the sand content of the sample at the sampling point needs to be adjusted; When the particle size of the sand in the sample at the sampling point is less than or equal to the maximum sand particle size threshold, it is determined that there is no need to adjust the sand content of the sample at the sampling point; The maximum sand particle size threshold is preset, and when the particle size of the sand in the sample at the sampling point is greater than the maximum sand particle size threshold, it is determined that the sand content of the sample at the sampling point needs to be adjusted, including: The sand content of the sample at the sampling point is adjusted according to the following formula: C1=C0×{1+k×[(ds−dmax) / dmax]}; In the above formula, C1 represents the sand content of the sample at the sampling point after adjustment, C0 represents the sand content of the sample at the sampling point before adjustment, k represents the particle size adjustment coefficient, and the value range of k is [0.1, 2], ds represents the maximum sand particle size in the sample at the sampling point, and dmax represents the maximum sand particle size threshold; The adjustment module is also configured to collect water flow information during sampling, and to determine whether the average value of the sediment content needs to be adjusted, including: Preset a maximum flow velocity change amplitude threshold, collect the maximum and minimum flow velocity values ​​at each sampling, and calculate the flow velocity change amplitude value during sampling. If the flow velocity change amplitude value during sampling is greater than the maximum flow velocity change amplitude threshold, it is determined that the average sediment content needs to be adjusted; If the velocity variation amplitude value during sampling is less than or equal to the maximum velocity variation amplitude threshold value, it is determined that there is no need to adjust the average value of the sediment content; Among them, the flow velocity change amplitude value during sampling is calculated by the following formula: ΔV = |V1 − V2 | / V2 × 100%; In the above formula, ΔV represents the flow velocity change amplitude during sampling, V1 represents the maximum flow velocity during sampling, and V2 represents the minimum flow velocity during sampling; When it is determined that adjustment is required, the average value of the sediment content is adjusted according to the water flow information at the time of sampling to obtain the final average value of the sediment content, including: The final average sand content is obtained according to the following formula: Ct=Cp×[1+k1×(ΔV / Vmax)+k2×(T−T1) / T1)]; In the above formula, Ct represents the final average sediment content, Cp represents the average sediment content, k1 represents the velocity adjustment coefficient, and the value range of k1 is [0.1, 2], ΔV represents the velocity change amplitude during sampling, Vmax represents the maximum velocity change amplitude threshold, k2 represents the temperature adjustment coefficient, and the value range of k2 is [0.01, 0.5], T represents the water temperature during sampling, and T1 represents the standard water temperature.

2. The water conservancy and hydrology sediment content detection system according to claim 1 is characterized in that: When the acquisition module is configured to divide the water area to be detected into a plurality of identical sampling ranges, it includes: Use a surveying tool to measure the total area of ​​the water area to be tested, and divide the water area to be tested into a number of rectangular grids of the same size along the direction of the water flow, each rectangular grid being a sampling range; wherein the surveying tool includes GPS and drone aerial survey; Several sampling points are evenly arranged at equal distances within each sampling range, and unique numbers are set for each sampling range and each sampling point.

3. The water conservancy and hydrology sediment content detection system according to claim 2 is characterized in that: The method of using a surveying tool to measure the total area of ​​the water area to be detected and dividing the water area to be detected into a plurality of rectangular grids of the same size along the water flow direction includes: Using the surveying and mapping tool to obtain a two-dimensional plane map of the water area to be inspected; The surveying and mapping data is processed through the geographic information system to extract the boundary line of the water area and generate a rectangular frame to enclose the entire water area to be detected; Divide the water area in the rectangular frame into a number of rectangular grids of the same size along the direction of water flow; The rectangular grids beyond the water area boundary and the rectangular grids that cannot completely cover the water area are marked as boundary grids; The grid parts beyond the water boundary in the boundary grid are cut off, and only the parts within the water area and the sampling points within the water area are retained.

4. The water conservancy and hydrology sediment content detection system according to claim 3 is characterized in that: The decision module is configured to obtain the final sediment content result within the sampling range according to the average value of the final sediment content obtained by two samplings within the same range, including: The final sand content within the sampling range is calculated by the following formula: Cs=(Ct1+Ct2) / 2; In the above formula, Cs represents the final sediment content result within the sampling range, Ct1 represents the average final sediment content within the sampling range during the first sampling, and Ct2 represents the average final sediment content within the sampling range during the second sampling.

5. The water conservancy and hydrology sediment content detection system according to claim 4 is characterized in that: The decision module summarizes the final sediment content results within all sampling ranges and integrates them into a sediment content distribution map in the detection water area space, including: Arrange each of the final sediment content results according to the water flow direction; Use a line graph to connect each final sediment content result arranged by water flow direction into a continuous line. Each data point in the line graph represents the final sediment content value of a sampling range, and the connecting line is used to show the changing trend of sediment content along the water flow direction. The line graph is mapped onto the corresponding two-dimensional plane graph.

6. A method for detecting water conservancy and hydrological sediment content, applied to the water conservancy and hydrological sediment content detection system as claimed in any one of claims 1 to 5, characterized in that: include: The water area to be tested is divided into several identical sampling ranges, and all the sampling ranges are sampled simultaneously using the same sampling method, wherein the sampling method is multi-point sampling, and after a preset time interval, the same sampling points in all the sampling ranges are sampled again using the same sampling method; Calculate the sand content of each sampling point sample, collect sand particle size information in each sampling point sample, and determine whether the sand content of the sampling point sample needs to be adjusted according to the sand particle size information; When it is determined that the sand content of the sample at the sampling point needs to be adjusted, the sand content of the sample at the sampling point is adjusted according to the sand particle size information to obtain the final sand content of the sample at the sampling point, and the average sand content within the same sampling range at the same time is calculated according to the final sand content of all sampling points within the same sampling range at the same time; Collecting water flow information during sampling, determining whether the average value of the sediment content needs to be adjusted, and when it is determined that adjustment is needed, adjusting the average value of the sediment content according to the water flow information during sampling to obtain a final average value of the sediment content; wherein the water flow information includes flow velocity and water temperature; The final sediment content result within the sampling range is obtained based on the average value of the final sediment content obtained from two samplings within the same range. The final sediment content results within all sampling ranges are summarized and integrated into a sediment content distribution map in the detected water area.

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