Surface flow velocity flow calculation method for edge device

Abstract

The invention belongs to the technical field of hydrographic survey, and provides a surface flow velocity calculation flow method for edge equipment, which comprises the following steps of: S1, importing a water level stratified flow velocity conversion parameter table into edge calculation equipment and storing the water level stratified flow velocity conversion parameter table; s2, the real-time water level and the real-time surface flow velocity are collected, and the cross section water passing area is calculated; s3, inquiring a water level layering flow velocity conversion parameter table to obtain a characteristic water level, and reading a corresponding vertical line and a flow velocity conversion coefficient; s4, calculating the average flow velocity of the corresponding vertical line according to the flow velocity conversion coefficient and the real-time surface flow velocity, and calculating the average flow velocity of the river channel; and S5, calculating the real-time flow of the river channel according to the average flow velocity and the cross section water passing area of the river channel. The method is suitable for field low-power-consumption edge computing equipment, and the flow testing precision in the river emergency state can be improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of hydrological measurement, and specifically relates to a method for calculating flow rate using surface flow velocity of edge devices, which is suitable for scenarios where field automatic measurement equipment continuously monitors flow velocity in an unmanned environment. Background Art

[0002] Flow measurement of natural rivers is a very important task in hydrological measurement. In river flow measurement, since the surface flow velocity of a cross section is different from the flow velocity in the middle and lower layers, in order to achieve more accurate flow measurement, it is necessary to measure the flow velocity of the cross section at different water depths and then calculate the overall river flow. When the flood flow velocity is fast and the water carries a large amount of sediment or debris, the flow velocity sensor needs to be inserted into the water when testing the underwater flow velocity. The debris in the water can easily damage the flow velocity sensor, and the measurement efficiency is low. It cannot adapt to flood flow measurement in emergency conditions, nor can it adapt to continuous monitoring of river sections with large changes in flood flow when no one is on duty. Summary of the Invention

[0003] The present invention aims to address the technical problems existing in the prior art and provides a method for calculating flow rate based on surface flow velocity for edge devices. This method is suitable for low-power edge computing devices in the field and is suitable for accurate measurement of river flow in field environments with high sediment content, a lot of debris in the water, and no one on duty. It can effectively improve the accuracy of flood flow testing in river emergencies.

[0004] In order to achieve the above technical objectives, the present invention adopts the following technical solutions:

[0005] A method for calculating flow rate based on surface flow velocity of an edge device, comprising the following steps:

[0006] S1. Draw a water level stratified flow velocity conversion parameter table under historical characteristic water levels, import the water level stratified flow velocity conversion parameter table into an edge computing device and store it as a parameter for flow velocity calculation;

[0007] S2. collecting the real-time water level and real-time surface velocity of the river channel, obtaining the water-passing area of the river channel cross section based on the intersection line between the real-time water level and the river channel cross section, and calculating the water-passing area of the cross section;

[0008] S3. Input the collected real-time water level into the edge computing device, query the water level stratification flow velocity conversion parameter table in the edge computing device, obtain the characteristic water level that matches the real-time water level, and read the corresponding vertical line and flow velocity conversion coefficient based on the characteristic water level;

[0009] S4. Calculate the average flow velocity of the corresponding vertical line using the velocity conversion coefficient on the corresponding vertical line and the real-time surface flow velocity through the edge computing device, and then calculate the average flow velocity of the river channel;

[0010] S5. Calculate the real-time flow of the river based on the average flow velocity and cross-sectional water area of the river.

[0011] Optionally, in step S1, the water level stratified flow velocity conversion parameter table includes multiple clusters of characteristic water levels, each cluster of characteristic water levels includes multiple clusters of vertical lines, and each cluster of vertical lines includes multiple flow velocity conversion coefficients.

[0012] Optionally, a water level stratified flow velocity conversion parameter table is generated by a parent-child table method, in which the parent table records the correspondence between each cluster of characteristic water levels and the cluster serial numbers of multiple flow velocity conversion coefficients, and the child table records the data clusters formed by each cluster of vertical lines and the corresponding multiple flow velocity conversion coefficients. Each cluster of characteristic water levels contains multiple clusters of vertical lines, and each cluster of vertical lines contains several flow velocity conversion coefficients. Each cluster of characteristic water levels corresponds to a characteristic water level value range.

[0013] Optionally, the characteristic water level value is based on the water level measured at different water depths in the current meter installation section.

[0014] Optionally, the characteristic water level is collected by using one of a radar sensor, a contact sensor, and an image recognition method.

[0015] Optionally, for a certain characteristic water level, different water depths are arranged in an arithmetic sequence, multiple clusters of vertical lines are measured for the different water depths, and multiple corresponding flow velocity conversion coefficients are measured for each cluster of vertical lines.

[0016] Optionally, surface velocity data and depth velocity data under historical characteristic water levels are collected by one or more of a Doppler flow profiler, a rotor flow meter, and a cup flow meter, and the surface velocity data and the depth velocity data are collected to calculate the velocity conversion coefficient and draw a water level stratified velocity conversion parameter table.

[0017] Optionally, in step S2, the real-time water level is collected by a water level meter, and the real-time surface flow velocity is collected by a flow meter.

[0018] Optionally, in step S3, when performing the query, the collected real-time water level is matched with the characteristic water level, and the matching method adopts one of the binary method, the downward compatible method, and the upward compatible method.

[0019] Optionally, in step S4, the average flow velocity of the river is calculated as follows:

[0020] S=(S 垂线1 +S 垂线2 +S 垂线3 +...+S 垂线N ) / n,

[0021] Among them, S is the average flow velocity of the river, S 垂线1 To S 垂线n is the average flow velocity from vertical line 1 to vertical line N, where n is the number of vertical lines;

[0022] The formula for calculating the average flow velocity of the vertical line is as follows:

[0023] S 垂线i =(S 表 × coefficient 1+S 表 × coefficient 2+...+S 表 × coefficient M ) / m,

[0024] Among them, S 垂线i is the average velocity of vertical line i, S 表 is the real-time surface velocity corresponding to the vertical line i, with coefficients 1 to M is the velocity conversion coefficient corresponding to the vertical line i, and the velocity conversion coefficient is obtained from the comparative measurement and calibration results. m is the number of velocity conversion coefficients of the vertical line i.

[0025] Compared with the prior art, the present invention has the following beneficial effects:

[0026] (1) The present invention is applicable to scenarios where low-power edge computing devices are used to continuously monitor flow in unmanned field environments. It is suitable for continuous and accurate measurement of river flow in unmanned field environments with high sediment content, a lot of debris in the water, and no one on duty. It can effectively improve the accuracy of flood flow measurement in river emergencies and can be used to quickly and accurately measure flow when there is no public network signal or communication interruption at the hydrological station, providing more accurate data for flood control decision-making.

[0027] (2) The present invention automatically matches the velocity conversion coefficient on each vertical line with the real-time water level to obtain the real-time surface velocity to calculate the average velocity of the river, and then calculate the real-time flow of the river, thereby improving the accuracy of edge device calculations;

[0028] (3) The present invention avoids the problem of excessive calculation error caused by calculating flow rate using only surface flow velocity and a single conversion coefficient, thereby improving the accuracy of flow rate calculation using surface flow velocity;

[0029] (4) The present invention can be applied to outdoor areas with poor or interrupted communication, has stronger environmental adaptability, and is a strong support for improving the flood response capabilities of hydrological stations. It is also an effective method for improving the accuracy of water resource monitoring in terms of water resource metering. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 This is a flow chart of a method for calculating flow rate using surface flow velocity of an edge device according to an embodiment of the present invention;

[0031] Figure 2 A technical roadmap for a method for calculating flow rate using surface flow velocity on edge devices according to an embodiment of the present invention;

[0032] Figure 3 This is a water level stratified flow velocity conversion parameter table of an embodiment of the present invention;

[0033] Figure 4 This is a technical roadmap for computing traffic according to an embodiment of the present invention. DETAILED DESCRIPTION

[0034] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0035] Example 1

[0036] Combine Figure 1-Figure 4 As shown, an embodiment of the present invention provides a method for calculating flow rate using surface flow velocity of an edge device, comprising the following steps:

[0037] S1. Draw a water level stratified flow velocity conversion parameter table under historical characteristic water levels, import the water level stratified flow velocity conversion parameter table into an edge computing device and store it as a parameter for flow velocity calculation;

[0038] S2. collecting the real-time water level and real-time surface velocity of the river channel, obtaining the water-passing area of the river channel cross section based on the intersection line between the real-time water level and the river channel cross section, and calculating the water-passing area of the cross section;

[0039] S3. Input the collected real-time water level into the edge computing device, query the water level stratification flow velocity conversion parameter table in the edge computing device, obtain the characteristic water level that matches the real-time water level, and read the corresponding vertical line and flow velocity conversion coefficient based on the characteristic water level;

[0040] S4. Calculate the average flow velocity of the corresponding vertical line using the velocity conversion coefficient on the corresponding vertical line and the real-time surface flow velocity through the edge computing device, and then calculate the average flow velocity of the river channel;

[0041] S5. Calculate the real-time flow of the river based on the average flow velocity and cross-sectional water area of the river.

[0042] The above method steps are applicable to the environment where low-power edge computing devices in the wild continuously perform flow monitoring calculations.

[0043] Furthermore, in step S1, the water level stratified flow velocity conversion parameter table includes a plurality of characteristic water levels, each characteristic water level includes a plurality of clusters of vertical lines, and each cluster of vertical lines includes a plurality of flow velocity conversion coefficients.

[0044] Example 2

[0045] Combine Figure 1-Figure 4 As shown, an embodiment of the present invention provides a method for calculating flow rate of surface flow velocity for edge devices, comprising the following steps:

[0046] S1. Draw a water level stratified flow velocity conversion parameter table under historical characteristic water levels, import the water level stratified flow velocity conversion parameter table into an edge computing device and store it as a parameter for flow velocity calculation;

[0047] S2. collecting the real-time water level and real-time surface velocity of the river channel, obtaining the water-passing area of the river channel cross section based on the intersection line between the real-time water level and the river channel cross section, and calculating the water-passing area of the cross section;

[0048] S3. Input the collected real-time water level into the edge computing device, query the water level stratification flow velocity conversion parameter table in the edge computing device, obtain the characteristic water level that matches the real-time water level, and read the corresponding vertical line and flow velocity conversion coefficient based on the characteristic water level;

[0049] S4. Calculate the average flow velocity of the corresponding vertical line using the velocity conversion coefficient on the corresponding vertical line and the real-time surface flow velocity through the edge computing device, and then calculate the average flow velocity of the river channel;

[0050] S5. Calculate the real-time flow of the river according to the average flow velocity and cross-sectional water area of the river;

[0051] Furthermore, in step S1, the water level stratified flow velocity conversion parameter table includes a plurality of characteristic water levels, each characteristic water level includes a plurality of clusters of vertical lines, and each cluster of vertical lines includes a plurality of flow velocity conversion coefficients;

[0052] Specifically, in accordance with the requirements of the "River Flow Measurement Specification" (GB50179-2015), sufficient vertical flow velocity data is measured at the characteristic water level to form a conversion parameter. The conversion parameter is the conversion coefficient between the flow velocity at the measuring point and the surface flow velocity at different vertical lines and depths.

[0053] On this basis, in this embodiment, a water level stratified flow velocity conversion parameter table is generated by a parent-child table method. The parent table records the correspondence between each cluster of characteristic water levels and the cluster sequence number of multiple flow velocity conversion coefficients, and the child table records the data cluster formed by each cluster of vertical lines and the corresponding multiple flow velocity conversion coefficients. Each characteristic water level contains multiple clusters of vertical lines, and each cluster of vertical lines contains several flow velocity conversion coefficients. Each cluster of characteristic water levels corresponds to a characteristic water level value range.

[0054] Specifically, obtain the characteristic water level numerical range that matches the current water level, read the corresponding vertical line and decomposition coefficient data based on the characteristic water level numerical range, the read data should be no less than 1 vertical line, and each vertical line should contain no less than 1 conversion coefficient; then convert the multiple flow velocity conversion coefficients on each vertical line with the surface flow velocity to obtain the corresponding flow velocity value, and then convert the average flow velocity to finally complete the flow calculation.

[0055] As a preferred method, the characteristic water level value range is obtained according to the flow velocity range of different water depths measured by the current meter at different sections;

[0056] As a preferred method, the water surface height is collected by using a radar sensor, a contact sensor, or an image recognition method; water level data can also be obtained by using manual observation and setting methods.

[0057] As a preferred method, for a certain characteristic water level, different water depths are arranged in an arithmetic sequence, multiple clusters of vertical lines are measured for different water depths, and multiple flow velocity conversion coefficients corresponding to each cluster of vertical lines are measured;

[0058] Specifically, the characteristic water level is determined based on the morphology of the instrument's installation section. In natural river channels, the determination of the characteristic water level is related to changes in cross-sectional morphology. At locations with sudden changes in morphology, a characteristic water level should be added and a set of vertical lines and corresponding conversion coefficients should be measured. Within a channel, different water depths can be determined according to an arithmetic sequence, and a set of vertical lines and corresponding conversion coefficients should be measured for each depth. The selection of the characteristic water level should take its representativeness into consideration. It is advisable to determine a characteristic water level for a depth with the same number of vertical lines and conversion coefficients and minimal variation. It is also important to note that two similar characteristic water levels should correspond to different numbers of vertical lines or conversion coefficients to avoid wasted storage space and computational efficiency due to data redundancy.

[0059] As a preferred method, the surface velocity and depth velocity data under the historical characteristic water level are collected by one or more of a Doppler current profiler (ADCP), a rotor flowmeter, and a cup flowmeter, the surface velocity data and the depth velocity data are collected to calculate the velocity conversion coefficient, and a water level stratified velocity conversion parameter table is drawn; specifically, the rotor flowmeter and the cup flowmeter need to be used through manual operation, and other contact sensors can also be used for collection; in addition, the velocity conversion coefficient obtained by calculating the surface velocity data and the depth velocity data is an existing technology and will not be elaborated on here.

[0060] Example 3

[0061] Combine Figure 1-Figure 4 As shown, an embodiment of the present invention provides a method for calculating flow rate of surface flow velocity for edge devices, comprising the following steps:

[0062] S1. Draw a water level stratified flow velocity conversion parameter table under historical characteristic water levels, import the water level stratified flow velocity conversion parameter table into an edge computing device and store it as a parameter for flow velocity calculation;

[0063] S2. collecting the real-time water level and real-time surface velocity of the river channel, obtaining the water-passing area of the river channel cross section based on the intersection line between the real-time water level and the river channel cross section, and calculating the water-passing area of the cross section;

[0064] S3. Input the collected real-time water level into the edge computing device, query the water level stratification flow velocity conversion parameter table in the edge computing device, obtain the characteristic water level that matches the real-time water level, and read the corresponding vertical line and flow velocity conversion coefficient based on the characteristic water level;

[0065] S4. Calculate the average flow velocity of the corresponding vertical line using the velocity conversion coefficient on the corresponding vertical line and the real-time surface flow velocity through the edge computing device, and then calculate the average flow velocity of the river channel;

[0066] S5. Calculate the real-time flow of the river according to the average flow velocity and cross-sectional water area of the river;

[0067] On this basis, in this embodiment, in step S2, the real-time water level is collected by a water level meter, and the real-time surface flow velocity is collected by a flow meter.

[0068] As a preferred method, in step S3, when performing the query, the collected real-time water level is matched with the characteristic water level, and the matching method adopts one of the half-matching method, the downward compatibility method, and the upward compatibility method;

[0069] Specifically, the halving method takes the average of a characteristic water level and its two adjacent characteristic water levels. The two numbers obtained are the water level interval represented by the current characteristic water level. When the current water level falls within this interval, the vertical coefficient cluster of the current characteristic water level is taken as the calculation parameter. This method is suitable for rivers or channels with regular cross-sectional morphology.

[0070] The downward compatible method takes the current characteristic water level and the adjacent lower characteristic water level as the interval. When the current water level falls within this interval, the vertical coefficient cluster of the current characteristic water level is taken as the calculation parameter.

[0071] The upward compatibility method, in contrast to the downward compatibility method, uses the current characteristic water level and the adjacent higher characteristic water level as the interval. When the current water level falls within this interval, the vertical coefficient cluster of the current characteristic water level is used as the calculation parameter. Both the downward and upward compatibility methods are suitable for natural river channels with irregular cross-sectional morphology.

[0072] Example 4

[0073] Combine Figure 1-Figure 4As shown, an embodiment of the present invention provides a method for calculating flow rate using surface flow velocity of an edge device, comprising the following steps:

[0074] S1. Draw a water level stratified flow velocity conversion parameter table under historical characteristic water levels, import the water level stratified flow velocity conversion parameter table into an edge computing device and store it as a parameter for flow velocity calculation;

[0075] S2. collecting the real-time water level and real-time surface velocity of the river channel, obtaining the water-passing area of the river channel cross section based on the intersection line between the real-time water level and the river channel cross section, and calculating the water-passing area of the cross section;

[0076] S3. Input the collected real-time water level into the edge computing device, query the water level stratification flow velocity conversion parameter table in the edge computing device, obtain the characteristic water level that matches the real-time water level, and read the corresponding vertical line and flow velocity conversion coefficient based on the characteristic water level;

[0077] S4. Calculate the average flow velocity of the corresponding vertical line using the velocity conversion coefficient on the corresponding vertical line and the real-time surface flow velocity through the edge computing device, and then calculate the average flow velocity of the river channel;

[0078] S5. Calculate the real-time flow of the river according to the average flow velocity and cross-sectional water area of the river;

[0079] On this basis, in this embodiment, in step S4, the average flow velocity of the river is calculated as follows:

[0080] S=(S 垂线1 +S 垂线2 +S 垂线3 +...+S 垂线N ) / n,

[0081] Among them, S is the average flow velocity of the river, S 垂线1 To S 垂线n is the average flow velocity from vertical line 1 to vertical line N, where n is the number of vertical lines;

[0082] The formula for calculating the average flow velocity of the vertical line is as follows:

[0083] S 垂线i =(S 表 × coefficient 1+S 表 × coefficient 2+...+S 表 × coefficient M ) / m,

[0084] Among them, S 垂线i is the average velocity of vertical line i, S 表 is the real-time surface velocity corresponding to the vertical line i, with coefficients 1 to Mis the velocity conversion coefficient corresponding to the vertical line i, the velocity conversion coefficient is obtained from the comparative measurement, and m is the number of velocity conversion coefficients of the vertical line i;

[0085] Specifically, comparative measurement is the result of the calibration work of hydrological instruments.

[0086] The above description is only an embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent replacements, and improvements made within the scope of the present invention shall be included in the scope of protection of the present invention.

Claims

1. A method for calculating flow rate based on surface velocity of edge devices, characterized in that: The following steps are involved: S1. Draw a water level stratified flow velocity conversion parameter table under historical characteristic water levels, import the water level stratified flow velocity conversion parameter table into an edge computing device and store it as a parameter for flow velocity calculation; S2. Collect the real-time water level and real-time surface velocity of the river channel, obtain the water-passing area of the river channel cross section based on the intersection line between the real-time water level and the river channel cross section, and calculate the water-passing area of the cross section; S3. Input the collected real-time water level into the edge computing device, query the water level stratification flow velocity conversion parameter table in the edge computing device, obtain the characteristic water level that matches the real-time water level, and read the corresponding vertical line and flow velocity conversion coefficient based on the characteristic water level; S4. Calculate the average flow velocity of the corresponding vertical line using the velocity conversion coefficient on the corresponding vertical line and the real-time surface flow velocity through the edge computing device, and then calculate the average flow velocity of the river channel; S5. Calculate the real-time flow of the river based on the average flow velocity and cross-sectional water area of the river.

2. The method for calculating flow rate based on surface flow velocity of edge devices according to claim 1, characterized in that: In step S1, the water level stratified flow velocity conversion parameter table includes a plurality of characteristic water levels, each characteristic water level includes a plurality of clusters of vertical lines, and each cluster of vertical lines includes a plurality of flow velocity conversion coefficients.

3. The method for calculating flow rate based on surface flow velocity of edge devices according to claim 2, characterized in that: The water level stratified flow velocity conversion parameter table is generated by the parent-child table method. The parent table records the correspondence between each cluster of characteristic water levels and the cluster numbers of multiple flow velocity conversion coefficients. The child table records the data clusters formed by each cluster of vertical lines and the corresponding multiple flow velocity conversion coefficients. Each characteristic water level contains multiple clusters of vertical lines, and each cluster of vertical lines contains several flow velocity conversion coefficients. Each cluster of characteristic water levels corresponds to a characteristic water level value range.

4. The method for calculating flow rate based on surface flow velocity of edge devices according to claim 3, characterized in that: The characteristic water level value range is obtained based on the flow velocity range of different water depths measured by the current meter at different sections.

5. The method for calculating flow rate based on surface flow velocity of edge devices according to claim 4, characterized in that: The water surface height is collected by using one of a radar sensor, a contact sensor, and an image recognition method.

6. The method for calculating flow rate based on surface flow velocity of edge devices according to claim 3, characterized in that: For a certain characteristic water level, different water depths are arranged in an arithmetic sequence, multiple clusters of vertical lines are measured for different water depths, and multiple flow velocity conversion coefficients corresponding to each cluster of vertical lines are measured.

7. The method for calculating flow rate based on surface flow velocity of edge devices according to claim 6, characterized in that: The surface velocity data and depth velocity data under the historical characteristic water level are collected by one or more of Doppler velocity profilers, rotor velocity meters, and cup velocity meters. The surface velocity data and depth velocity data are collected to calculate the velocity conversion coefficient and draw a water level stratified velocity conversion parameter table.

8. The method for calculating flow rate based on surface flow velocity of edge devices according to claim 1, characterized in that: In step S2, the real-time water level is collected by a water level meter, and the real-time surface flow velocity is collected by a flow meter.

9. The method for calculating flow rate based on surface flow velocity of edge devices according to claim 1, characterized in that: In step S3, when performing a query, the collected real-time water level is matched with the characteristic water level, and the matching method adopts one of the binary method, the downward compatible method, and the upward compatible method.

10. The method for calculating flow rate based on surface flow velocity of edge devices according to claim 1, characterized in that: In step S4, the average flow velocity of the river is calculated as follows: S=(S 垂线1 +S 垂线2 +S 垂线3 +...+S 垂线N ) / n, Among them, S is the average flow velocity of the river, S 垂线1 To S 垂线N is the average flow velocity from vertical line 1 to vertical line N, where n is the number of vertical lines; The formula for calculating the average flow velocity of the vertical line is as follows: S 垂线i =(S 表 × coefficient 1+S 表 × coefficient 2+...+S 表 × coefficient M ) / m, Among them, S 垂线i is the average velocity of vertical line i, S 表 is the real-time surface velocity corresponding to the vertical line i, with coefficients 1 to M is the velocity conversion coefficient corresponding to the vertical line i, coefficient 1 is the first velocity conversion coefficient corresponding to the vertical line i, coefficient M is the Mth velocity conversion coefficient corresponding to the vertical line i. The velocity conversion coefficient is obtained from the comparative measurement and calibration. m is the number of velocity conversion coefficients of the vertical line i.

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