H-ADCP comparison measurement calibration method and system for automatically recommending alignment scheme

Abstract

The invention provides an H-ADCP comparison and calibration method and system for automatically recommending an alignment scheme, and the method comprises the steps: importing an actual measurement flow result; generating a recommended routing scheme based on the actually measured flow result; the user can select and recommend the routing scheme; based on a recommended routing scheme selected by a user, according to an actually measured flow result, performing H-ADCP comparison measurement and calibration; and outputting a calibration result. According to the method, the recommended alignment scheme is automatically generated based on the imported actually-measured flow result and is selected by the user, and after the user selects the recommended alignment scheme, H-ADCP comparison measurement and calibration are performed based on the recommended alignment scheme selected by the user and according to the actually-measured flow result, so that a worker does not need to determine the alignment scheme according to experience, the convenience is improved, and the user experience is improved. And the labor cost is reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of computer data processing, and in particular to a H-ADCP comparison measurement and calibration method and system for automatically recommending a routing scheme. Background Art

[0002] When performing H-ADCP calibration, measured flow results must first be imported. Staff then independently determine a routing plan based on their experience. Once the routing plan is finalized, H-ADCP calibration is performed based on the measured flow results. This process involves selecting valid intervals, calculating representative flow rates, and performing curve fitting, a complex and labor-intensive process.

[0003] Therefore, a solution is urgently needed. Summary of the Invention

[0004] The present invention provides an H-ADCP comparative measurement and calibration method and system for automatically recommending routing schemes. The method automatically generates a recommended routing scheme based on imported measured flow results and provides it for user selection. After the user selects the recommended routing scheme, the H-ADCP comparative measurement and calibration is performed based on the recommended routing scheme selected by the user and the measured flow results. There is no need for staff to determine the routing scheme based on their own experience, thereby improving convenience and reducing labor costs.

[0005] The present invention provides a H-ADCP comparison measurement and calibration method for automatically recommending a routing scheme, comprising: Import measured flow results; Generate recommended route plans based on measured flow results; Provide users with recommended alignment options; Based on the recommended routing scheme selected by the user and the measured flow results, H-ADCP comparison and calibration are performed; Output calibration results.

[0006] Optionally, generating a recommended route plan based on the measured flow results includes: Based on the scheme recommendation system and the measured flow results, a proposed route scheme is determined; wherein the proposed route scheme includes at least: an effective interval, a representative flow velocity calculation algorithm, and a curve type; Based on the proposed line plan and measured flow results, curve fitting is performed; Based on the fitting results, the correlation coefficient of the line scheme to be selected is determined; The top N candidate alignment schemes ranked from largest to smallest in correlation coefficient are taken as recommended alignment schemes; where N is a positive integer.

[0007] Optionally, after outputting the calibration results, the following steps are further included: Continuously determining the local interface that meets the local interface conditions in the output interface of the calibration results; When the number of determined partial interfaces exceeds a number threshold and no new partial interface is determined for a period exceeding a first threshold, determining the partial interface that the user's interaction identifier in the output interface is approaching and using it as the first target partial interface; Determine other local interfaces that have a continuous regional association relationship with the first target local interface for a period exceeding a second threshold, and use them as second target local interfaces; Characterizing multimodal information of the first target local interface and the second target local interface to obtain a characteristic description factor; wherein the multimodal information includes at least: interface content within the first target local interface and the second target local interface, historical user operations on the interface content, raw data corresponding to the interface content in measured flow results, curve type, and a representative flow velocity calculation algorithm used to obtain the interface content; Based on the solution recommendation system and characteristic description factors, the alignment adjustment solution is determined; Based on the alignment adjustment scheme, pre-adjust the first local result of the calibration result in the first target local interface and the second target local interface to obtain a pre-adjustment result; Output pre-adjustment results; When the user confirms the pre-adjustment result, the first partial result is replaced based on the pre-adjustment result.

[0008] Optionally, the local interface conditions include: The second partial result of the calibration result in the partial interface is viewed by the user at least a threshold number of times using a viewing operation of a standard viewing operation type; wherein the standard viewing operation type includes at least: a reciprocating zooming operation of different content areas, a request for adjustment operation, a keep as a comparison operation, and a marking operation; and / or, The interface parameters of the partial interface match the user's trigger interface parameters; wherein the interface parameters include at least: the relative position of the partial interface relative to the output interface, the content volume of the second partial result in the partial interface, and the relative distance between the partial interface and other partial interfaces; and / or, The partial interface is at the first or last position in the partial interface viewing sequence of the user viewing the output interface for at least a second threshold number of times in a row; the user viewing time interval between two adjacent partial interfaces in the partial interface viewing sequence is less than the interval threshold.

[0009] Optionally, the regional association relationship includes: The other partial interfaces and the first target partial interface simultaneously fall into the current visual range of the user in the output interface; and / or, There is a content association relationship between the other partial interfaces and the first target partial interface; wherein the content association relationship at least includes: curve continuity and curve similarity exceeding a similarity threshold; and / or, Other local interfaces partially fall within the required range of the output interface; the steps for determining the required range are as follows: Determining the farthest moving position from the first target partial interface to which the interactive identifier moves after entering the first target partial interface and the final moving direction at the farthest moving position; With the center point of the first target local interface as the center of the circle and the preset multiple of the straight-line distance from the center of the circle to the farthest moving position as the radius, the target semicircle range is drawn; the ray from the center of the circle to the final moving direction can divide the target semicircle range into two equal parts.

[0010] The present invention provides an H-ADCP comparison measurement and calibration system for automatically recommending a routing solution, comprising: Import module, used to import measured traffic results; The generation module is used to generate a recommended route plan based on the measured flow results; Selection module, used for users to select recommended alignment schemes; The calibration module is used to perform H-ADCP comparative calibration based on the user's selected recommended routing scheme and the measured flow results; Output module, used to output calibration results.

[0011] Optionally, the generation module generates a recommended route plan based on the measured traffic results, including: Based on the scheme recommendation system and the measured flow results, a proposed route scheme is determined; wherein the proposed route scheme includes at least: an effective interval, a representative flow velocity calculation algorithm, and a curve type; Based on the proposed line plan and measured flow results, curve fitting is performed; Based on the fitting results, the correlation coefficient of the line scheme to be selected is determined; The top N candidate alignment schemes ranked from largest to smallest in correlation coefficient are taken as recommended alignment schemes; where N is a positive integer.

[0012] Optionally, after the output module outputs the calibration result, it further includes: Adjustment modules to include: Continuously determining the local interface that meets the local interface conditions in the output interface of the calibration results; When the number of determined partial interfaces exceeds a number threshold and no new partial interface is determined for a period exceeding a first threshold, determining the partial interface that the user's interaction identifier in the output interface is approaching and using it as the first target partial interface; Determine other local interfaces that have a continuous regional association relationship with the first target local interface for a period exceeding a second threshold, and use them as second target local interfaces; Characterizing multimodal information of the first target local interface and the second target local interface to obtain a characteristic description factor; wherein the multimodal information includes at least: interface content within the first target local interface and the second target local interface, historical user operations on the interface content, raw data corresponding to the interface content in measured flow results, curve type, and a representative flow velocity calculation algorithm used to obtain the interface content; Based on the solution recommendation system and characteristic description factors, the alignment adjustment solution is determined; Based on the alignment adjustment scheme, pre-adjust the first local result of the calibration result in the first target local interface and the second target local interface to obtain a pre-adjustment result; Output pre-adjustment results; When the user confirms the pre-adjustment result, the first partial result is replaced based on the pre-adjustment result.

[0013] Optionally, the local interface conditions include: The second partial result of the calibration result in the partial interface is viewed by the user at least a threshold number of times using a viewing operation of a standard viewing operation type; wherein the standard viewing operation type includes at least: a reciprocating zooming operation of different content areas, a request for adjustment operation, a keep as a comparison operation, and a marking operation; and / or, The interface parameters of the partial interface match the user's trigger interface parameters; wherein the interface parameters include at least: the relative position of the partial interface relative to the output interface, the content volume of the second partial result in the partial interface, and the relative distance between the partial interface and other partial interfaces; and / or, The partial interface is at the first or last position in the partial interface viewing sequence of the user viewing the output interface for at least a second threshold number of times in a row; the user viewing time interval between two adjacent partial interfaces in the partial interface viewing sequence is less than the interval threshold.

[0014] Optionally, the regional association relationship includes: The other partial interfaces and the first target partial interface simultaneously fall into the current visual range of the user in the output interface; and / or, There is a content association relationship between the other partial interfaces and the first target partial interface; wherein the content association relationship at least includes: curve continuity and curve similarity exceeding a similarity threshold; and / or, Other local interfaces partially fall within the required range of the output interface; the steps for determining the required range are as follows: Determining the farthest moving position from the first target partial interface to which the interactive identifier moves after entering the first target partial interface and the final moving direction at the farthest moving position; With the center point of the first target local interface as the center of the circle and the preset multiple of the straight-line distance from the center of the circle to the farthest moving position as the radius, the target semicircle range is drawn; the ray from the center of the circle to the final moving direction can divide the target semicircle range into two equal parts.

[0015] Other features and advantages of the present invention will be described in the following description, and in part will become apparent from the description, or will be understood by practicing the present invention. The purpose and other advantages of the present invention can be realized and obtained by the structures particularly pointed out in the written description and the accompanying drawings.

[0016] The technical solution of the present invention is further described in detail below through the accompanying drawings and embodiments. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings: Figure 1 Flowchart of the H-ADCP comparison calibration method for automatically recommending a routing solution in an embodiment of the present invention; Figure 2 is a unit flow velocity distribution diagram in an embodiment of the present invention; Figure 3 is an echo intensity distribution diagram in an embodiment of the present invention; Figure 4 This is a diagram of the route setting function interface in an embodiment of the present invention; Figure 5 Schematic diagram of unit flow rate anomaly analysis in an embodiment of the present invention; Figure 6 Schematic diagram of the longitudinal velocity distribution area weighted method in an embodiment of the present invention; Figure 7 Schematic diagram of an H-ADCP comparison measurement and calibration system for automatically recommending alignment solutions in an embodiment of the present invention. DETAILED DESCRIPTION

[0018] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood that the preferred embodiments described herein are only used to illustrate and explain the present invention, and are not used to limit the present invention.

[0019] The present invention provides a H-ADCP comparison calibration method for automatically recommending a routing scheme, such as Figure 1 Shown, including: S1. Import the measured flow results; S2. Generate a recommended route plan based on the measured flow results; S3, providing users with a recommended route plan; S4. Based on the recommended routing scheme selected by the user and the measured flow results, H-ADCP comparison and calibration are performed; S5. Output the calibration result.

[0020] The generation of a recommended route plan based on the measured flow results includes: Based on the scheme recommendation system and the measured flow results, a proposed route scheme is determined; wherein the proposed route scheme includes at least: an effective interval, a representative flow velocity calculation algorithm, and a curve type; Based on the proposed line plan and measured flow results, curve fitting is performed; Based on the fitting results, the correlation coefficient of the line scheme to be selected is determined; The top N candidate alignment schemes ranked from largest to smallest in correlation coefficient are taken as recommended alignment schemes; where N is a positive integer.

[0021] In the above technical solution, measured flow results are first imported. The system then generates a recommended routing scheme based on these results. The user is then asked to select a recommended routing scheme, completing the recommendation. Once the user selects a recommended routing scheme, H-ADCP calibration is performed based on the user-selected recommended routing scheme and the measured flow results. The calibration results are finally output. The recommended routing system contains candidate routing schemes suitable for different measured flow results. Measured flow results refer to flow data recorded during manual flow measurement. These typically include the measuring station name, year, measuring station code, measurement number, measurement start and end times, section location, measurement method, water level, flow rate, cross-sectional area, flow velocity, water surface width, water depth, gradient, and roughness. In contrast, data from automated flow measurement, such as H-ADCP, typically includes: water level, unit velocity, echo intensity, and representative velocity.

[0022] Comparison and calibration are two interrelated stages; comparison refers to manually measuring flow by other means and comparing it with the data from the automatic flow measurement system; calibration, also known as line determination, refers to the results obtained by the two flow measurement methods, conducting relationship analysis, and converting the automatic flow measurement data into manual flow measurement data (it is assumed that the manual flow measurement data is accurate, and the automatic measurement data may deviate).

[0023] The effective interval selection is before recommending the alignment scheme. In the present invention, a rule is formulated to automatically select a variety of different effective interval ranges based on the shape and size of the cross section and the original data of automatic flow measurement (unit flow rate and backflow intensity).

[0024] The inputs for the flow rate calculation are the unit flow rate and the calculation algorithm.

[0025] The unit flow rate is measured by the automatic flow measurement equipment. For example, there are 100 unit flow rates in total. Then, according to the division of the valid interval, a certain number of cells are selected to participate in the representative flow rate calculation.

[0026] The calculation algorithms generally include different rules such as arithmetic mean, area enclosing method, vertical flow velocity distribution, etc.

[0027] According to the above effective range of unit flow rate and representative flow rate calculation algorithm, the representative flow rate can be calculated.

[0028] After selecting the valid range and the representative flow velocity calculation algorithm, the representative flow velocity can be calculated. During calibration, multiple comparative measurements are generally required, covering different ranges of water levels (high, medium, and low), and flow velocities (high, medium, and low). Each manual flow measurement records the average flow velocity at the section. The corresponding representative flow velocity can then be calculated for each manual comparative measurement. This results in an array, with one representative flow velocity corresponding to each measured cross-sectional average flow velocity. These corresponding data are then plotted as a two-dimensional scatter plot, with the representative flow velocity on the horizontal axis and the measured cross-sectional average flow velocity on the vertical axis. These scatter plots can then be used for curve fitting. Curve fitting can use a variety of formula types, such as linear (straight line), quadratic, exponential, and power functions. After curve fitting, a virtual cross-sectional average flow velocity is calculated for each representative flow velocity based on the curve. This virtual cross-sectional average flow velocity will differ slightly from the measured true cross-sectional average flow velocity, which allows for the calculation of a correlation coefficient.

[0029] After selecting the method with the best correlation coefficient from the various methods previously selected, the system performs three tests (fit test, sign test, and deviation test) and then determines a specific alignment scheme based on flow measurement specifications. If it meets the requirements, it is adopted; if not, further adjustments are required.

[0030] The analysis of cell velocity anomalies is related to the principle of flow measurement. When a cell velocity anomaly occurs, it indicates that the velocity at that location is inaccurate and cannot be included in the calculation. Therefore, it must be excluded from the valid cell range. In other words, the end position of the valid cell must be further forward than the cell with the flow anomaly.

[0031] Generally, H-ADCP flow measurement is generally accurate at close range, but becomes less accurate the further away it is. During calibration, inaccurate data is excluded. Therefore, when selecting the cell end range, the cell where the abnormal flow rate occurs is selected, and the remaining portion is excluded. The end cell is also placed before (closer to) the cell where the abnormal flow rate occurs.

[0032] H-ADCP calibration software generally includes several steps, including importing measured flow results, selecting a valid interval, calculating representative flow rates, curve fitting, and three tests. These steps all require manual operation, and in the three stages of valid interval selection, representative flow rate calculation, and fitting curve type selection, multiple selections and trial calculations based on experience are required. These selections have no fixed criteria; the sole goal is to achieve optimal curve fitting results. The details are as follows: 1) The selection of effective intervals requires manual experience and analysis of the original flow measurement data. There is no clear boundary or range. 2) Representative velocity calculation methods include arithmetic mean, area enclosing method, and area enclosing method considering vertical velocity distribution. 3) There are several default methods for fitting curve selection, including linear, quadratic, exponential function, power function, etc.

[0033] In order to achieve better curve fitting results, multiple manual selections and trial calculations are often required, and the best trial calculation result is finally selected as the calibration result.

[0034] For many users, this is time-consuming and requires a software that automatically recommends routing solutions. After inputting the measured flow results, it automatically selects a variety of typical routing solutions based on the original flow measurement data, then performs curve fitting calculations and recommends several solutions with the best fitting effects for customers to choose from, achieving the effect of one-click routing.

[0035] The unit velocity distribution diagram, echo intensity distribution diagram, and alignment function interface are as follows: Figure 2 、 Figure 3 、 Figure 4 shown.

[0036] A unit velocity distribution diagram is a diagram that plots the velocity of each unit cell in a river cross-section diagram, based on the unit size set by the H-ADCP device. Each flow measurement produces a unit velocity distribution process line. As can be seen from the diagram, the flow velocity is generally low near the bank of the H-ADCP device, increasing toward the middle of the cross-section. As the flow approaches the opposite bank, the flow velocity gradually decreases or exhibits abnormal jumps.

[0037] In the figure, the horizontal axis is the distance from the starting point, that is, the width of the river section; the vertical axis on the left represents the elevation (altitude) of the riverbed, and the right side represents the size of the unit flow velocity.

[0038] The part with background color in the figure, which ranges from approximately 8m to 33m, is a recommended effective unit range.

[0039] The echo intensity distribution diagram, based on the unit size set for the H-ADCP device, labels and connects the echo intensity (i.e., the size of the echo) for each unit cell in the river cross-section diagram. Since the H-ADCP has two circulators, each flow measurement will produce two echo intensity distribution process lines.

[0040] The echo intensity generally decreases gradually as the distance from the device increases. If it suddenly increases, it is likely due to an obstruction.

[0041] After the measured flow results are imported, the system can automatically select the effective interval, representative flow velocity calculation algorithm, curve type, fitting results, three tests, etc. based on the original flow measurement data, and finally draw a conclusion on which method of line determination is better. Here, the three aspects that originally need to be manually set are the effective interval, representative flow velocity calculation method, and curve type. You can set several default options for each setting, and then calculate all of them in a round, from which the three best results are given and the best result is recommended. The method is as follows: 1) The goal of setting the effective interval is to make the relationship between the flow velocity in the effective interval and the average flow velocity of the entire section more stable, without large deviations. Generally, it is necessary to pass through the position of maximum flow velocity (such as the deepest part of the section), and then from the starting position to the end position, the flow velocity distribution is relatively stable, without large fluctuations, and the echo intensity within this range has an overall trend of slowly decreasing, without obvious abnormal enhancement. According to this principle, the program can automatically determine which range is more appropriate as the effective interval. For example, the center position, left and right range, left and right offset range, etc., for example, to generate x typical effective intervals. The selection of the effective interval is the most difficult task among all automatic optimizations, and can be divided into several different methods for automatic selection.

[0042] 2) The default flow rate calculation uses three types: arithmetic mean, area bracket method, and longitudinal velocity distribution area weighted method. The vertical line represents the velocity distribution area bracket method, which requires setting a vertical velocity distribution curve. After the setting is completed, it can be checked by default.

[0043] 3) Curve Type: You can choose from several default options, such as linear, quadratic, exponential, and power functions. This setting is fixed, so just check it.

[0044] 4) Based on the various types of selections in 1-3, x*3*4 typical solutions are generated by default. Curve fitting is performed on each solution, the correlation coefficient of each solution is calculated, and three tests are performed.

[0045] 5) Recommend the three solutions with the best correlation coefficients as recommended solutions for users to choose.

[0046] After the above five steps, the rate setting personnel can generate a route setting plan with one click, which will greatly reduce the labor intensity of the route setting work.

[0047] The steps for selecting the effective interval include: The method for selecting the effective interval is to first define a large range where the velocity distribution is relatively stable and the echo intensity is not abnormal. Then, within this range, according to certain rules, several typical interval ranges are selected by default for automatic calculation.

[0048] (1) Starting cell screening The starting cell position for the valid interval is generally easy to select. Assume the total number of cells is n (typically a few dozen to over a hundred). Because H-ADCPs typically have blind spots and the flow rate in the first few cells is unstable, the default setting is to exclude the first few cells of n / 20 from the valid interval selection. The first cell after n / 20 is used as the starting cell. For example, if there are 100 cells in total, the first five cells are excluded from the valid interval, and the valid interval begins with the sixth cell. If there are 60 cells in total, the valid interval begins with the fourth cell.

[0049] (2) End cell selection 1. Echo intensity abnormality analysis Echo intensity is a dimensionless metric that represents the relative energy intensity of the echo received by the H-ADCP transducer. Normal echo intensity decreases with distance, typically from around 180 to around 50. The specific value varies slightly depending on the device.

[0050] To judge the abnormal echo intensity, we can judge from the increase in the echo intensity of the subsequent cells compared to the echo intensity of the previous cells. The specific method is: starting from the starting cell, analyze each cell one by one. If the echo intensity is greater than the cell with the smallest echo intensity value among all the cells before the cell, mark it. If the echo intensity increase reaches a certain limit, such as 20, it is considered that the echo intensity of the measuring station has increased abnormally since the cell with the smallest echo intensity, and the unit flow velocity can no longer be accurately measured. According to this method, the end cell can be found. Then calculate the arithmetic mean value Vhbavg of the unit flow velocity from the starting cell to the end cell to provide a reference for the subsequent unit flow velocity abnormality analysis.

[0051] 2. Analysis of abnormal unit flow rate When selecting a site for an H-ADCP online flow measurement station, the site is typically chosen where the cross-sectional velocity distribution is relatively stable. Therefore, the velocity fluctuations between adjacent cells are minimal. Larger fluctuations only occur when the beam is about to reach the opposite bank.

[0052] To determine if a cell's flow velocity is abnormal, we can determine the magnitude of the absolute and relative changes in the flow velocity of adjacent cells. Because flow velocities vary significantly between stations, and even at the same station at different times, we need to leverage the results of the echo intensity analysis from the previous step to make a judgment based on Vhbavg.

[0053] For example, if the absolute value of the velocity change of the adjacent cells reaches 30% of Vhbavg, and the relative value of the velocity change exceeds 50%, it is considered that the velocity change amplitude of the cell is significantly beyond the normal situation, and the velocity monitoring of the cell at this location can be judged to be abnormal. According to this method, a more stringent end cell can be found based on the echo intensity analysis, and this can be used as the selection range of the typical effective interval, such as Figure 5 The range selected in the box.

[0054] After selecting a large range with relatively stable velocity distribution, take the center point of the range as the central axis, and select 60%, 80% of the total distance from the start cell to the end cell, and 10%, 20% on the left and right sides of the central axis for selection. Including the large range, there are a total of 11 ranges, such as Figure 5 The range with a light pink background color. These 11 ranges are used as typical ranges for automatic effective ranges for trial calculations.

[0055] The longitudinal velocity distribution area weighted method is as follows Figure 6 As shown in the figure, the relative water depth of a cell is calculated according to the current water level, large section, ADCP position, and cell division; the longitudinal relative water depth velocity ratio is obtained by interpolation table lookup; the longitudinal average velocity of the cell is calculated; according to the area weighted method, the velocity*area of ​​the entire longitudinal section at the location of this cell is calculated; the velocity*area of ​​the effective entire cell range; the velocity*area of ​​all effective cells are added together and then divided by the area of ​​all effective cells to obtain the weighted average velocity of the effective cell interval as the representative velocity.

[0056] This application automatically generates a recommended routing plan based on the imported measured flow results and provides it for users to choose. After the user selects the recommended routing plan, H-ADCP comparison and calibration are performed based on the user-selected recommended routing plan and the measured flow results. This eliminates the need for staff to determine the routing plan based on their own experience, improving convenience and reducing labor costs.

[0057] In one embodiment, after outputting the calibration result, the method further includes: S61. Continuously determining local interfaces that meet local interface conditions in the output interface of the calibration results; In step S61, the calibration result is output and displayed in the output interface. When a local interface that meets the local interface conditions is determined in the output interface, it indicates that the user may want to adjust the second local result of the calibration result in the local interface. The second local result is the part of the calibration result that is locally output and displayed in the local interface. The introduction of the local interface conditions enables the system to accurately determine the local interface of the second local result that the user wants to adjust. S62: When the number of determined partial interfaces exceeds a threshold and no new partial interface is determined for a period exceeding a first threshold, determine the partial interface that the user interaction identifier in the output interface is approaching and use it as the first target partial interface; In step S62, the quantity threshold may be, for example, 3; the first threshold duration may be, for example, 100 seconds; when the number of determined partial interfaces exceeds the quantity threshold and no new partial interface is determined within the first threshold duration, it indicates that the user may have many partial interfaces for which he or she may want to adjust the second partial result and may no longer have the desire to adjust the second partial result. In this case, it is appropriate for the system to assist the user in adjusting the second partial result in the determined partial interface; the user's interaction identifier in the output interface may be, for example, a mouse pointer; approaching means that the interaction identifier is getting closer to the partial interface and the distance between the two is getting smaller. After determining that it is appropriate for the system to assist the user in adjusting the second local result in the determined local interface, it is necessary to identify the local interface to which the user may want to adjust the second local result, that is, the local interface to which the interaction marker is approaching, and use it as the first target local interface; the combination of the quantity threshold and the first threshold duration enables the system to accurately determine the timing for assisting the user in adjusting the second local result in the determined local interface; the determination of this timing is combined with the analysis of the dynamic action of the interaction marker at this timing, so that the system can accurately determine the first target local interface to which the user may want to coordinately adjust the second local result; S63: Determine other local interfaces that have a region association relationship with the first target local interface for a period exceeding a second threshold, and use them as second target local interfaces; In step S63, the second threshold duration may be, for example, 50 seconds. When another local interface and the first target local interface continuously maintain a regional association relationship for a period exceeding the second threshold duration, it indicates that the user may want to perform collaborative content adjustment on the other local interface with the first target local interface. The combination of the second threshold duration and the regional association relationship enables the system to accurately determine the second target local interface that the user may want to perform collaborative content adjustment on with the first target local interface. S64. Characterize the multimodal information of the first target local interface and the second target local interface to obtain a characteristic description factor; wherein the multimodal information includes at least: interface content within the first target local interface and the second target local interface, historical user operations on the interface content, raw data corresponding to the interface content in the measured flow results, curve type, and a representative flow velocity calculation algorithm used to obtain the interface content; In step S64, when performing feature description on the multimodal information, various information features of the multimodal information are first extracted, and each information feature is represented in a vector form to obtain a feature description factor; S65. Based on the solution recommendation system and characteristic description factors, determine the alignment adjustment solution; In step S65, the solution recommendation system includes route adjustment solutions corresponding to different feature description factors. The feature description factors reflect the user's adjustment intention and the content of the content to be adjusted. The route adjustment solution is a solution for adjusting the first partial result that meets the adjustment intention and is suitable for the content. S66: Pre-adjust the first local result of the calibration result in the first target local interface and the second target local interface based on the alignment adjustment plan to obtain a pre-adjustment result; In step S66, the first partial result is the portion of the calibration result that is locally output and displayed in the first target partial interface and the second target partial interface. Based on the alignment adjustment scheme, the first partial result can be pre-adjusted. The pre-adjustment refers to a simulated adjustment of the first partial result outside the display area of ​​the first partial result. Therefore, the pre-adjustment result is a simulated content of the simulated adjustment of the first partial result. S67, outputting the pre-adjustment result; In step S67, after the pre-adjustment result is output, the user can view the pre-adjustment result and confirm whether the pre-adjustment result meets his actual adjustment intention; S68. When the user confirms the pre-adjustment result, the first partial result is replaced based on the pre-adjustment result.

[0058] In step S68, when the user confirms the pre-adjustment result, it means that the user confirms that the pre-adjustment result is consistent with his or her actual adjustment intention. Based on the pre-adjustment result, the first local result is replaced to achieve local adjustment of the calibration result.

[0059] Currently, after the calibration results are output and displayed to the user for review, the user may be dissatisfied with a portion of the calibration result. If they want to make adjustments, they need to redefine a new alignment plan and re-perform H-ADCP comparison calibration, which is cumbersome. Furthermore, the user cannot manually adjust the calibration results, resulting in a lack of user-friendliness. Therefore, to address these issues, an embodiment of the present invention accurately determines when to assist the user in adjusting the second local result in an already determined local interface, the first target local interface in which the user may want to coordinate adjustments with the second local result, and the second target local interface in which the user may want to coordinate content adjustments with the first target local interface. Based on a solution recommendation system, an alignment adjustment plan is determined based on constructed feature description factors, and the first local result of the calibration results in the first and second target local interfaces is pre-adjusted. When the user confirms the pre-adjustment results, the first local result is replaced based on the pre-adjustment results. This assists the user in adjusting the calibration results, improves user-friendliness, and eliminates the need to redefine a new alignment plan and re-perform H-ADCP comparison calibration, thereby improving convenience.

[0060] In one embodiment, the local interface conditions include: Condition C1: The second partial result in the partial interface of the calibration result is viewed by the user at least a threshold number of times using a standard viewing operation type; wherein the standard viewing operation type includes at least: reciprocating zooming in and out of different content areas, requesting adjustment, keeping as a comparison object, and marking; and / or, Condition C2: The interface parameters of the partial interface match the user's trigger interface parameters; the interface parameters include at least: the relative position of the partial interface with respect to the output interface, the content volume of the second partial result in the partial interface, and the relative distance between the partial interface and other partial interfaces; and / or, Condition C3: The partial interface is at the first or last position in the partial interface viewing sequence of the user viewing the output interface for at least the second threshold number of times in a row; the time interval between two adjacent partial interfaces in the partial interface viewing sequence is less than the interval threshold.

[0061] In condition C1, the first count threshold may be, for example, 3; the operation of reciprocatingly zooming in and out of different content areas refers to zooming in on one content area in the second partial result and then zooming in on another content area therein, or zooming in on one content area in the second partial result and then zooming out on the same content area; the operation of requesting adjustment refers to requesting the system to adjust the second partial result; the operation of keeping as a comparison object refers to the operation of continuously comparing the second partial result with any other content; the operation of marking refers to the operation of marking the content of the second partial result, such as an important mark, a mark to be adjusted, etc.; when the second partial result is viewed by the user at least the first count threshold number of times using a standard viewing operation type, it indicates that the user may want to adjust the second partial result; In condition C2, the relative position of the local interface with respect to the output interface refers to the relative position of the local interface in the output interface, for example, one side is in the center of the area of ​​the other side; the content volume of the second local result in the local interface refers to the content data volume of the second local result; the relative distance between the local interface and other local interfaces refers to the straight-line distance between the interface centers of the two interfaces; the user's trigger interface parameter is the interface parameter that the user may want to adjust the second local result, for example, the user often adjusts the head and tail of the fitting curve, then the trigger interface parameter is the head and tail of the area of ​​one side; when the interface parameters of the local interface match the user's trigger interface parameters, it means that the user may want to adjust the second local result; In condition C3, the second count threshold can be, for example, 2; the viewing local interface sequence contains various viewing local interfaces of the output interface that the user has viewed in the past, which are sorted in the order of the user's viewing; the interval threshold can be 10 seconds; a viewing local interface sequence represents a viewing stage of the user viewing the output interface, and each time the local interface is at the first or last viewing local interface sequence of the user viewing the output interface, it means that the user viewed the local interface first or last in a viewing stage. If it is at the first or last viewing local interface sequence of the user viewing the output interface for at least the second count threshold number of times in a row, it means that the user viewed the local interface first or last in multiple viewing stages, indicating that the content of the local interface is of concern to the user, and then the user may want to adjust the second local result.

[0062] By setting the above-mentioned local interface conditions, it is possible to determine in a multi-dimensional and refined manner the local interface that can indicate that the user may want to adjust the second local result, thereby greatly improving the applicability of the system.

[0063] In one embodiment, the region association relationship includes: Relation R1, other partial interfaces and the first target partial interface simultaneously fall within the current visible range of the user in the output interface; and / or, There is a content association relationship between the relationship R2, the other local interfaces and the first target local interface; wherein the content association relationship at least includes: curve continuity and curve similarity exceeding a similarity threshold; and / or, Relationship R3: Other local interfaces partially fall within the requirement range of the output interface; wherein, the steps for determining the requirement range are as follows: Determining the farthest moving position from the first target partial interface to which the interactive identifier moves after entering the first target partial interface and the final moving direction at the farthest moving position; With the center point of the first target local interface as the center of the circle and the preset multiple of the straight-line distance from the center of the circle to the farthest moving position as the radius, the target semicircle range is drawn; the ray from the center of the circle to the final moving direction can divide the target semicircle range into two equal parts.

[0064] In relation R1, the user's current visible range refers to the range of the output interface that the user can currently view. When the other partial interface and the first target partial interface simultaneously fall within the user's current visible range in the output interface, it indicates that the user is currently viewing the other partial interface and the first target partial interface simultaneously. If the relationship R1 is maintained for more than a second threshold time, it indicates that the user may want to adjust the content of the other partial interface in coordination with the first target partial interface. In the relationship R2, curve continuity refers to the continuity between the fitting curve of the other local interface and the first target local interface; curve similarity refers to the similarity between the fitting curve of the other local interface and the first target local interface; the similarity threshold can be, for example, 70%; when there is a content association relationship between the other local interface and the first target local interface, it indicates that the user may pay attention to the other local interface. If the relationship R2 is continuously met for more than the second threshold time, it means that the user may want to coordinate the content of the other local interface with the first target local interface; In relationship R3, after the interactive identifier enters the first target local interface, it may move along with the user's newly generated attention range, thereby determining the demand range, which is the user's newly generated attention range; if other local interfaces partially fall into the demand range in the output interface, it means that the user may pay attention to other local interfaces. If the relationship R3 is continuously met for more than the second threshold time, it means that the user may want to make collaborative content adjustments in the other local interfaces with the first target local interface; the preset multiple can be, for example, 1.3; the radius of the target semicircle range is the product of the straight-line distance from the center of the circle to the farthest moving position and the preset multiple.

[0065] By setting the above-mentioned regional association relationship, it is possible to determine in a multi-dimensional and refined manner whether the user may want to make collaborative content adjustments in the other local interfaces with the first target local interface, thereby greatly improving the applicability of the system.

[0066] The present invention provides a H-ADCP comparison measurement and calibration system that automatically recommends a routing solution. Figure 7 Shown, including: Import module 1, used to import measured flow results; Generation module 2, used to generate a recommended route plan based on the measured flow results; Selection module 3, for users to select recommended alignment schemes; Calibration module 4 is used to perform H-ADCP comparative measurement calibration based on the recommended routing scheme selected by the user and the measured flow results; The output module 5 is used to output the calibration results.

[0067] The generation module generates a recommended route plan based on the measured flow results, including: Based on the scheme recommendation system and the measured flow results, a proposed route scheme is determined; wherein the proposed route scheme includes at least: an effective interval, a representative flow velocity calculation algorithm, and a curve type; Based on the proposed line plan and measured flow results, curve fitting is performed; Based on the fitting results, the correlation coefficient of the line scheme to be selected is determined; The top N candidate alignment schemes ranked from largest to smallest in correlation coefficient are taken as recommended alignment schemes; where N is a positive integer.

[0068] After the output module outputs the calibration results, it also includes: Adjustment modules to include: Continuously determining the local interface that meets the local interface conditions in the output interface of the calibration results; When the number of determined partial interfaces exceeds a number threshold and no new partial interface is determined for a period exceeding a first threshold, determining the partial interface that the user's interaction identifier in the output interface is approaching and using it as the first target partial interface; Determine other local interfaces that have a continuous regional association relationship with the first target local interface for a period exceeding a second threshold, and use them as second target local interfaces; Characterizing multimodal information of the first target local interface and the second target local interface to obtain a characteristic description factor; wherein the multimodal information includes at least: interface content within the first target local interface and the second target local interface, historical user operations on the interface content, raw data corresponding to the interface content in measured flow results, curve type, and a representative flow velocity calculation algorithm used to obtain the interface content; Based on the solution recommendation system and characteristic description factors, the alignment adjustment solution is determined; Based on the alignment adjustment scheme, pre-adjust the first local result of the calibration result in the first target local interface and the second target local interface to obtain a pre-adjustment result; Output pre-adjustment results; When the user confirms the pre-adjustment result, the first partial result is replaced based on the pre-adjustment result.

[0069] The local interface conditions include: The second partial result of the calibration result in the partial interface is viewed by the user at least a threshold number of times using a viewing operation of a standard viewing operation type; wherein the standard viewing operation type includes at least: a reciprocating zooming operation of different content areas, a request for adjustment operation, a keep as a comparison operation, and a marking operation; and / or, The interface parameters of the partial interface match the user's trigger interface parameters; wherein the interface parameters include at least: the relative position of the partial interface relative to the output interface, the content volume of the second partial result in the partial interface, and the relative distance between the partial interface and other partial interfaces; and / or, The partial interface is at the first or last position in the partial interface viewing sequence of the user viewing the output interface for at least a second threshold number of times in a row; the user viewing time interval between two adjacent partial interfaces in the partial interface viewing sequence is less than the interval threshold.

[0070] The regional association relationship includes: The other partial interfaces and the first target partial interface simultaneously fall into the current visual range of the user in the output interface; and / or, There is a content association relationship between the other partial interfaces and the first target partial interface; wherein the content association relationship at least includes: curve continuity and curve similarity exceeding a similarity threshold; and / or, Other local interfaces partially fall within the required range of the output interface; the steps for determining the required range are as follows: Determining the farthest moving position from the first target partial interface to which the interactive identifier moves after entering the first target partial interface and the final moving direction at the farthest moving position; With the center point of the first target local interface as the center of the circle and the preset multiple of the straight-line distance from the center of the circle to the farthest moving position as the radius, the target semicircle range is drawn; the ray from the center of the circle to the final moving direction can divide the target semicircle range into two equal parts.

[0071] Obviously, those skilled in the art may make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if such changes and modifications fall within the scope of the claims and their equivalents, the present invention is intended to include such changes and modifications.

Claims

1. A H-ADCP comparison measurement and calibration method for automatically recommending a routing scheme, characterized in that: include: Import measured flow results; Generate recommended route plans based on measured flow results; Provide users with recommended alignment solutions; Based on the recommended route plan selected by the user, H-ADCP comparison and calibration are performed according to the measured flow results; Output the calibration results.

2. The H-ADCP ratio measurement and calibration method for automatically recommending a routing scheme as claimed in claim 1, characterized in that: The generation of a recommended route plan based on the measured flow results includes: Based on the scheme recommendation system and the measured flow results, the proposed route scheme is determined; wherein the proposed route scheme at least includes: effective interval, representative flow velocity calculation algorithm, and curve type; Based on the proposed line plan and measured flow results, curve fitting is performed; Based on the fitting results, the correlation coefficient of the line scheme to be selected is determined; The top N candidate alignment schemes ranked from largest to smallest in correlation coefficient are taken as recommended alignment schemes; wherein N is a positive integer.

3. The H-ADCP ratio measurement and calibration method for automatically recommending a routing scheme as claimed in claim 1, characterized in that: After outputting the calibration results, it also includes: Continuously determining the local interface that meets the local interface conditions in the output interface of the calibration results; When the number of local interfaces that have been determined exceeds a number threshold and no new local interface has been determined for a period exceeding a first threshold, determining a local interface that the user's interaction identifier in the output interface is approaching and using it as a first target local interface; Determine other local interfaces that have a continuous regional association relationship with the first target local interface for a period exceeding a second threshold, and use them as second target local interfaces; Characterizing the multimodal information of the first target local interface and the second target local interface to obtain a characteristic description factor; wherein the multimodal information includes at least: interface content in the first target local interface and the second target local interface, historical operations performed by users on the interface content, raw data corresponding to the interface content in the measured flow results, curve types of curve types, and a representative flow rate calculation algorithm used to obtain the interface content; Based on the scheme recommendation system and characteristic description factors, the alignment adjustment scheme is determined; Based on the alignment adjustment scheme, pre-adjust the first local result of the calibration result in the first target local interface and the second target local interface to obtain a pre-adjustment result; Output pre-adjustment results; When the user confirms the pre-adjustment result, the first partial result is replaced based on the pre-adjustment result.

4. The H-ADCP ratio measurement and calibration method for automatically recommending a routing scheme as claimed in claim 3, characterized in that: The local interface conditions include: The second local result of the rate result in the local interface is viewed by the user at least a first threshold number of times using a viewing operation of a standard viewing operation type; wherein the standard viewing operation type at least includes: a reciprocating zooming operation of different content areas, a request adjustment operation, a keep as a comparison object operation, and a marking operation; and / or, The interface parameters of the local interface match the trigger interface parameters of the user; wherein the interface parameters include at least: the relative position of the local interface relative to the output interface, the content volume of the second local result in the local interface, and the relative distance between the local interface and other local interfaces; and / or, The partial interface is at the first or last position in the partial interface viewing sequence of the user viewing the output interface for at least a second number threshold number of times in a row; the user viewing time interval between two adjacent partial interfaces in the partial interface viewing sequence is less than the interval threshold.

5. The H-ADCP ratio measurement and calibration method for automatically recommending a routing scheme as claimed in claim 3, characterized in that: The regional association relationship includes: The other partial interfaces and the first target partial interface simultaneously fall into the current visible range of the user in the output interface; and / or, There is a content association relationship between the other local interfaces and the first target local interface; wherein the content association relationship at least includes: curve continuity and curve similarity exceeding a similarity threshold; and / or, Other local interfaces partially fall within the required range of the output interface; wherein the steps for determining the required range are as follows: Determine the farthest moving position from the first target local interface to which the interactive marker moves after entering the first target local interface and the final moving direction at the farthest moving position; With the center point of the first target local interface as the center of the circle and the preset multiple of the straight-line distance from the center of the circle to the farthest moving position as the radius, draw the target semicircle range; the ray from the center of the circle to the final moving direction can divide the target semicircle range into two equal parts.

6. A H-ADCP comparison measurement and calibration system for automatically recommending a routing scheme, characterized in that: include: Import module, used to import measured traffic results; A generation module is used to generate a recommended route plan based on the measured flow results; Selection module, used for users to select recommended alignment schemes; The calibration module is used to perform H-ADCP comparative calibration based on the recommended routing scheme selected by the user and the measured flow results; Output module, used to output calibration results.

7. The H-ADCP comparison measurement and calibration system for automatically recommending a routing plan according to claim 6, characterized in that: The generation module generates a recommended route plan based on the measured traffic results, including: Based on the scheme recommendation system and the measured flow results, the proposed route scheme is determined; wherein the proposed route scheme at least includes: effective interval, representative flow velocity calculation algorithm, and curve type; Based on the proposed line plan and measured flow results, curve fitting is performed; Based on the fitting results, the correlation coefficient of the line scheme to be selected is determined; The top N candidate alignment schemes ranked from largest to smallest in correlation coefficient are taken as recommended alignment schemes; wherein N is a positive integer.

8. The H-ADCP comparison measurement and calibration system for automatically recommending a routing scheme as claimed in claim 6, characterized in that: After the output module outputs the calibration results, it also includes: Adjustment modules to include: Continuously determining the local interface that meets the local interface conditions in the output interface of the calibration results; When the number of local interfaces that have been determined exceeds a number threshold and no new local interface has been determined for a period exceeding a first threshold, determining a local interface that the user's interaction identifier in the output interface is approaching and using it as a first target local interface; Determine other local interfaces that have a continuous regional association relationship with the first target local interface for a period exceeding a second threshold, and use them as second target local interfaces; Characterizing the multimodal information of the first target local interface and the second target local interface to obtain a characteristic description factor; wherein the multimodal information includes at least: interface content in the first target local interface and the second target local interface, historical operations performed by users on the interface content, raw data corresponding to the interface content in the measured flow results, curve types of curve types, and a representative flow rate calculation algorithm used to obtain the interface content; Based on the scheme recommendation system and characteristic description factors, the alignment adjustment scheme is determined; Based on the alignment adjustment scheme, pre-adjust the first local result of the calibration result in the first target local interface and the second target local interface to obtain a pre-adjustment result; Output pre-adjustment results; When the user confirms the pre-adjustment result, the first partial result is replaced based on the pre-adjustment result.

9. The H-ADCP comparison measurement and calibration system for automatically recommending a routing scheme as claimed in claim 8, characterized in that: The local interface conditions include: The second local result of the rate result in the local interface is viewed by the user at least a first threshold number of times using a viewing operation of a standard viewing operation type; wherein the standard viewing operation type at least includes: a reciprocating zooming operation of different content areas, a request adjustment operation, a keep as a comparison object operation, and a marking operation; and / or, The interface parameters of the local interface match the trigger interface parameters of the user; wherein the interface parameters include at least: the relative position of the local interface relative to the output interface, the content volume of the second local result in the local interface, and the relative distance between the local interface and other local interfaces; and / or, The partial interface is at the first or last position in the partial interface viewing sequence of the user viewing the output interface for at least a second number threshold number of times in a row; the user viewing time interval between two adjacent partial interfaces in the partial interface viewing sequence is less than the interval threshold.

10. The H-ADCP comparison measurement and calibration system for automatically recommending a routing plan according to claim 8, characterized in that: The regional association relationship includes: The other partial interfaces and the first target partial interface simultaneously fall into the current visible range of the user in the output interface; and / or, There is a content association relationship between the other local interfaces and the first target local interface; wherein the content association relationship at least includes: curve continuity and curve similarity exceeding a similarity threshold; and / or, Other local interfaces partially fall within the required range of the output interface; wherein the steps for determining the required range are as follows: Determine the farthest moving position from the first target local interface to which the interactive marker moves after entering the first target local interface and the final moving direction at the farthest moving position; With the center point of the first target local interface as the center of the circle and the preset multiple of the straight-line distance from the center of the circle to the farthest moving position as the radius, draw the target semicircle range; the ray from the center of the circle to the final moving direction can divide the target semicircle range into two equal parts.

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