River channel climbing height detection method

Abstract

The invention relates to water level detection, and particularly discloses a riverway climbing detection method, which comprises the following steps of: sequentially arranging a plurality of sensing nodes in a linear array upwards along a river levee, and sequentially marking the sensing nodes as m1, m2,... and mn from bottom to top, and each m has a height H (m) corresponding to the m; the detection method comprises the following steps: S01, performing data acquisition on the sensing node based on a preset acquisition frequency f to obtain original data; s02, judging the original data according to a preset threshold value to determine the number of m submerged in each m and n corresponding to the m so as to obtain calibration data; and S03, processing the calibration data to respectively obtain a climbing characteristic value Hs, a climbing water body thickness d and an impact force F on the node. The device can accurately measure the climbing data under the influence of floating objects, in a high-sand-content water body and under the severe conditions of strong wind, heavy rain and the like.

Description

Technical Field

[0001] The invention relates to water level detection, and in particular to a river channel height detection method. Background Art

[0002] Measuring the height of a river requires facing the following difficulties: (1) The shapes of river bank slopes vary. Some are vertical walls, such as the side walls of the Xinkai River section in Changxing; some are slopes, such as the side walls of the Majinxi section; and some are a combination of platforms and slopes, such as the side walls of the Xiasha section of the Qiantang River. (2) Impact of floating debris. There is often floating garbage in the river, which may be plastic bags, interlaced branches of grass and trees, entangled fishing nets and other debris; (3) The water body has a high sediment content. In certain periods of time, the river section has a high sediment content, which may temporarily leave a certain thickness of silt layer on the side wall; (4) Accurate measurements are particularly necessary during the flood season, especially in windy and rainy days. Interference from factors such as visibility, rain, and wind disturbances must be eliminated.

[0003] At present, there are few studies on river channel height measurement, and there is no mature measurement scheme. The more popular scheme is to identify height based on video image recognition. After arranging video cameras, the recognition algorithm is used to obtain height information. Reference: Chinese Patent Publication (Announcement) No.: CN113850868A, disclosing a wave climbing image recognition method; Chinese Patent Publication (Announcement) No.: CN114820485A, discloses a method for measuring wave run-up based on airborne images; In the existing technologies including the above two patents, this monitoring method works better on sunny days, without backlight, with good lighting conditions and light breeze. However, at night, in heavy rain, in strong winds and other conditions, due to poor visibility and camera shaking, the clarity and stability of the video shooting are poor, resulting in inaccurate subsequent recognition results. Summary of the invention

[0004] The purpose of the present invention is to provide a river channel height detection method to solve the above-mentioned problem.

[0005] In order to achieve the above-mentioned object, the present invention provides the following technical solutions: A river climbing detection method, comprising arranging a plurality of sensing nodes in a linear array upward along the river bank, and sequentially labeled as m1, m2, ..., mn from bottom to top, and each m has a corresponding elevation value H(m); The detection method comprises the following steps: S01, collecting data from the sensing node based on a preset collection frequency f to obtain raw data; S02, judging the original data according to a preset threshold value to determine the number of nodes m in each m that are submerged by the climbing height and n corresponding to the node m, so as to obtain calibration data; S03. Process the calibration data to obtain the climbing height characteristic value Hs, the climbing height water body thickness d and the impact force F on the node respectively.

[0006] Preferably, the node m comprises at least three capacitive sensors R arranged in sequence along the direction of water level rise. i (i=1, 2, 3); The original data at least includes the R corresponding to the node mn that is submerged by the climbing height. m (x, t), where: x is the collected value of R corresponding to node m, and t is time; In step S02, in determining the number of nodes m that are submerged by the climbing height and the n corresponding to m in each node m: If x is greater than a preset threshold, it is determined that the node mn is flooded; If x is smaller than a preset threshold, it is determined that the node mn is not flooded.

[0007] Preferably, the preset threshold value is a preset value for dry plastic bag entanglement, a preset value for dry silt coverage, a preset value for vegetation entanglement, a preset value for wet silt coverage, and a preset value for water level submersion.

[0008] Preferably, the calibration data is original data of a highest node mn adjacent to the nodes mn that are not submerged.

[0009] Preferably, the calculation formula of the climbing height characteristic value Hs(t) in step S03 is: Hs(t)=H(m)+(x / 3)*0.05 Among them, H(m) is the elevation value corresponding to the node mn, and x is R m x in (x, t).

[0010] Preferably, the step S03 further includes calculating the climbing period Ts within a predetermined length period T, and T=five minutes, then the steps include: S31. Based on Hs(tj)-h<0 and Hs(tj+1)-h>0, select time tІ as the upper crossing time, and obtain an array of zero crossing time points Tk (t1, t2, t3, ..., tІ) within five minutes, where h is the average value of the climbing height data within the selected five minutes, and j is the Hs of the highest mn; S32. Find the maximum value Hmax (h1, h2, ..., H(m)) and the minimum value Hmin (m1, m2, m3, ..., mn) between every two zero-crossing time points by sorting. S33, calculate the period and wave height of a single wave height through the zero-crossing time point array Tk, Hmax, Hmin, then: The first wave: the period is T1=t2-t1, and the climbing amplitude is P1=h1-m1; The second wave: the period is T2=t3-t2, and the climbing amplitude is P2=h3-m2; The third wave: the period is T3=t4-t3, and the climbing amplitude is P3=h4-m3; By analogy, we can get the amplitude a and period T of each climb in this time period, sort the climb amplitudes and calculate the average, and the maximum climb amplitude is the maximum climb P. max , the average value is the average climbing height P m , perform mean operation on the period T to obtain the climbing period Ts.

[0011] Preferably, the node m includes pressure sensor data Y; The original data at least includes the Y corresponding to the node mn that is submerged by the climb. m (p, t) and vibration data G m (g, t), where is the water density, g is the gravitational acceleration; The calculation formula of the climbing water body thickness d is: .

[0012] Preferably, the calculation of the impact force F at the node in step S03 includes: S31, the speed of water in mn , where Pm is the climbing period of node mn, and Tm is the climbing amplitude of node mn; S32. Calculate the impact force F of the water body: ; Where L is the width.

[0013] Preferably, the node m includes collecting vibration data Gm (g, t) through a vibration sensor G, and performing judgment on the state of the node m: When Gm(g, t)≤stable threshold, it means that the current node m is well fixed and has not loosened; When Gm(g, t)>stable threshold, it means that the current node m is loose and there is a risk of loss; Among them, the stability threshold is 0.02m / s 2 .

[0014] In the above technical scheme, a river channel height detection method provided by the present invention has the following beneficial effects: with the help of its measurement mechanism with settable trigger threshold and multi-sensor combination measurement mode, the problem of river channel height measurement is solved, and the influence of floating objects can be avoided. The height data can be accurately measured in severe conditions such as high sand content water bodies, strong winds and heavy rains, and at the same time, the data information of the height increase speed, the thickness of the water body and the impact force of the water body can be measured. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0016] Figure 1 A schematic diagram of an implementation structure provided for an embodiment of the present invention; Figure 2 A schematic diagram of the structure of a sensing node provided by an embodiment of the present invention; Figure 3 A flowchart provided for an embodiment of the present invention.

[0017] Description of reference numerals: 1. Bottom capacitance sensor; 2. Middle capacitance sensor; 3. Top capacitance sensor; 4. Pressure sensor; 5. Vibration sensor; 6. Fixing hole; 7. Node body; 8. Data processing unit; 9. Connecting wire; 10. Sensing node. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. 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 creative work are within the scope of protection of the present invention.

[0019] A river climbing detection method, comprising: Embodiment 1:

[0020] In order to implement the above detection method, this embodiment aims to provide a device capable of implementing the detection method, Figure 1 and Figure 2 As shown, the device includes a plurality of sensing nodes 10 arranged in a linear array upward along the river bank, and labeled as m1, m2, ..., mn from bottom to top, and each m has a corresponding height H(m).

[0021] The sensing node 10 includes a node body 7, and four fixing holes 6 are respectively opened on the node body 7 along the diagonal line, and the node body 7 is fixed to the river bank by expansion screws through the fixing holes 6. Each node body 7 is sequentially arranged with a top capacitance sensor 3, a pressure sensor 4 and a vibration sensor 5 located on the same horizontal line, a middle capacitance sensor 2 and a bottom capacitance sensor 1 along the direction of the rising river water. It should be noted that the spacing between the top capacitance sensor 3, the middle capacitance sensor 2 and the bottom capacitance sensor 1 is 0.05m.

[0022] Among them, R1 is the top capacitance sensor 3, R2 is the middle capacitance sensor 2, R3 is the bottom capacitance sensor 1, Y is the pressure sensor 4, and G is the vibration sensor 5.

[0023] The electrical signals collected by the above-mentioned top capacitance sensor 3, pressure sensor 4, vibration sensor 5, middle capacitance sensor 2 and bottom capacitance sensor 1 are transmitted to the data processing unit 8 for processing and transmitted back to the terminal in real time.

[0024] Furthermore, the plurality of sensing nodes 10 in the above embodiment are sequentially connected in series through the connecting line 9, and finally connected to the data processing unit 8. The above data processing unit 8 is fixed on the river bank through the distribution box.

[0025] Embodiment 2:

[0026] Combination Figure 3 It can be seen that the data processing unit 8 in the above embodiment processes the data collected by each sensing node 10, thereby realizing the detection of the wave height of the river channel, and the detailed operation steps include: S01. Data is collected from the sensing nodes 10 based on a preset collection frequency f to obtain raw data. The collection frequency f refers to a cycle of several minutes and how many times each sensing node 10 needs to be collected in one cycle.

[0027] S02. The original data is judged according to a preset threshold to determine the number of m that are submerged and the n corresponding to m in each m, so as to obtain calibration data. The calibration data is the original data of the highest mn among the adjacent mn that are not submerged, that is, the original data of the highest mn is also the original data of the submerged mn.

[0028] S03, process the calibration data to obtain: The calculation formula of the climbing height characteristic value Hs(t) is: Hs(t)=H(m)+(x / 3)*0.05 Among them, H(m) is the elevation value corresponding to the node mn, and x is R m x in (x, t).

[0029] The calculation of the climbing period Ts within the predetermined length period T, T=5, then the steps include: S31. Based on Hs(tj)-h<0 and Hs(tj+1)-h>0, select tІ as the upper crossing moment, and obtain the zero crossing time point array Tk (t1, t2, t3, ..., tІ) within five minutes, where h is the average value of the climbing height data within the selected five minutes, j is the Hs(t) of the highest mn, and І is the Іth five minutes.

[0030] S32. Find the maximum value Hmax (h1, h2, ..., H(m)) and the minimum value Hmin (m1, m2, m3, ..., mn) between every two zero-crossing time points by sorting. S33, calculate the period and wave height of a single wave height through the zero-crossing time point array Tk, Hmax, Hmin, then: The first wave: the period is T1=t2-t1, and the climbing amplitude is P1=h1-m1; The second wave: the period is T2=t3-t2, and the climbing amplitude is P2=h3-m2; The third wave: the period is T3=t4-t3, and the climbing amplitude is P3=h4-m3; By analogy, we can get the amplitude a and period T of each climb in this time period, sort the climb amplitudes and calculate the average, and the maximum climb amplitude is the maximum climb P. max , the average value is the average climbing height P min , perform mean operation on the period T to obtain the climbing period Ts.

[0031] The calculation formula for the thickness of the climbing water body d is: ; The original data at least includes Ym(p, t) and vibration data Gm(g, t) corresponding to the node mn that is submerged by the climb. is the water density, and g is the acceleration due to gravity.

[0032] Calculation of impact force F includes: S31, the speed of water in mn , where Pm is the climbing period of node mn, and Tm is the climbing amplitude of node mn; S32. Calculate the impact force F of the water body: ; Where L is the width.

[0033] Secondly, the vibration data G is collected through the vibration sensor G m (g, t), and perform judgment on the state of node m: When Gm (g, t) ≤ stability threshold, indicating that the current node m is well fixed and not loose; As G m (g, t) > stability threshold, indicating that the current node m is loose and there is a risk of loss; Among them, the stability threshold is 0.02m / s 2 ; It should be noted that the above Pm is the climbing period of mn, Tm is the climbing amplitude of mn, and the above node mn is the original data of the highest mn in the calibration data.

[0034] Furthermore, in the above embodiment, the raw data of step S01 at least includes the R corresponding to the mn submerged by the climb. m (x, t), where: x is the collected value of R corresponding to m, and t is time; In step S02, when determining the number of m in each m that is submerged by climbing and the n corresponding to m: If x is greater than the preset threshold, mn is determined to be submerged; If x is less than the preset threshold, it is determined that mn is not submerged.

[0035] Furthermore, the preset thresholds are preset values ​​for dry plastic bag entanglement, dry silt coverage, vegetation entanglement, wet silt coverage, and water level submersion. For example, the preset value for dry plastic bag entanglement is 2, the preset value for dry silt coverage is 3, the preset value for vegetation entanglement is 4, the preset value for wet silt coverage is 5, and the preset value for water level submersion is 1. Then, when the detected electrical signals obtained by R1, R2, and R3 located on the same sensing node 10 are any of the above numbers, it is determined what state it is in. If it is 5, it is considered that R1, R2, or R3 with an electrical signal of 5 is covered with wet silt, and so on. Only R with a detected electrical signal of 1 is processed. And the above R1, R2, or R3 all have a corresponding pre-trial height, that is, H (m).

[0036] In summary, with the help of its measurement mechanism with settable trigger thresholds and multi-sensor combined measurement mode, the problem of river channel height measurement has been solved. It can avoid the influence of floating objects and accurately measure the height data in severe conditions such as high-sand water bodies, strong winds and heavy rains. At the same time, it can measure the height speed, height thickness of the water body and the impact force of the water body.

[0037] It will be appreciated by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Therefore, the present invention may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0038] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0039] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0040] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0041] The present invention uses specific embodiments to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea. At the same time, for those skilled in the art, according to the idea of ​​the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

[0042] The embodiments of the present application also provide a specific implementation of an electronic device capable of implementing all steps of the method in the above embodiments, and the electronic device specifically includes the following contents: Processor, memory, communications interface and bus; Wherein, the processor, memory, and communication interface communicate with each other via the bus; The processor is used to call the computer program in the memory, and when the processor executes the computer program, all the steps in the method in the above embodiment are implemented.

[0043] The embodiments of the present application also provide a computer-readable storage medium capable of implementing all the steps of the method in the above embodiments, wherein a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, all the steps of the method in the above embodiments are implemented.

[0044] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the hardware + program embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. Although the embodiment of this specification provides the method operation steps as described in the embodiment or flowchart, more or fewer operation steps may be included based on conventional or non-creative means. The order of steps listed in the embodiment is only one way of executing the order of many steps, and does not represent the only execution order. When the device or terminal product in practice is executed, it can be executed in sequence or in parallel according to the method shown in the embodiment or the accompanying drawings (for example, a parallel processor or a multi-threaded processing environment, or even a distributed data processing environment). The term "include", "comprise" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method, product or device including a series of elements includes not only those elements, but also includes other elements that are not explicitly listed, or also includes elements inherent to such process, method, product or device. In the absence of more restrictions, it is not excluded that there are other identical or equivalent elements in the process, method, product or device including the elements. For the convenience of description, the above device is described by dividing it into various modules according to its functions. Of course, when implementing the embodiments of this specification, the functions of each module can be implemented in the same or more software and / or hardware, or the module implementing the same function can be implemented by a combination of multiple sub-modules or sub-units. The device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms. The present invention is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the process Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0045] Those skilled in the art should understand that the embodiments of this specification can be provided as methods, systems or computer program products. Therefore, the embodiments of this specification can be in the form of a complete hardware embodiment, a complete software embodiment or an embodiment combining software and hardware. Moreover, the embodiments of this specification can be in the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes. Each embodiment in this specification is described in a progressive manner, and the same and similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. In the description of this specification, the description of the reference term "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the embodiment of this specification.

[0046] In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, without contradicting each other. The above is only an embodiment of the embodiment of this specification and is not intended to limit the embodiment of this specification. For those skilled in the art, the embodiment of this specification may have various changes and variations. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the embodiment of this specification shall be included in the scope of the claims of the embodiment of this specification.

Claims

1. A river climbing detection method, characterized in that: A plurality of sensing nodes (10) are arranged in a linear array upward along the river bank and are labeled m1, m2, ..., mn from bottom to top, and each m has a corresponding elevation value H(m); The detection method comprises the following steps: S01, collecting data from the sensing node (10) based on a preset collection frequency f to obtain raw data; S02, judging the original data according to a preset threshold value to determine the number of nodes m in each m that are submerged by the climbing height and n corresponding to the node m, so as to obtain calibration data; S03. Process the calibration data to obtain the climbing height characteristic value Hs, the climbing height water body thickness d and the impact force F on the node respectively.

2. A river climbing detection method according to claim 1, characterized in that: The node m includes at least three capacitive sensors R arranged in sequence along the direction of water level rise. i (i=1, 2, 3); The original data at least includes the R corresponding to the node mn that is submerged by the climbing height. m (x, t), where: x is the collected value of R corresponding to node m, and t is time; In step S02, in determining the number of nodes m that are submerged by the climbing height and the n corresponding to m in each node m: If x is greater than a preset threshold, it is determined that the node mn is flooded; If x is smaller than a preset threshold, it is determined that the node mn is not flooded.

3. A river climbing detection method according to claim 1, characterized in that: The preset thresholds are a preset value for dry plastic bag entanglement, a preset value for dry silt coverage, a preset value for vegetation entanglement, a preset value for wet silt coverage, and a preset value for water level inundation.

4. A river climbing detection method according to claim 1, characterized in that: The calibration data is original data of a highest node mn adjacent to the nodes mn that are not submerged.

5. A river climbing detection method according to claim 1, characterized in that: The calculation formula of the climbing height characteristic value Hs(t) in step S03 is: Hs(t)=H(m)+(x / 3)*0.05 Among them, H(m) is the elevation value corresponding to the node mn, and x is R m x in (x, t).

6. A river climbing detection method according to claim 5, characterized in that: The step S03 also includes calculating the climbing period Ts within the predetermined length period T, and T=5 minutes, then the steps include: S31. Based on Hs(tj)-h<0 and Hs(tj+1)-h>0, select time tІ as the upper crossing time, and obtain an array of zero crossing time points Tk (t1, t2, t3, ..., tІ) within five minutes, where h is the average value of the climbing height data within the selected five minutes, and j is the Hs of the highest mn; S32. Find the maximum value Hmax (h1, h2, ..., H(m)) and the minimum value Hmin (m1, m2, m3, ..., mn) between every two zero-crossing time points by sorting. S33. Calculate the period and wave height of a single wave height through the zero-crossing time point arrays Tk, Hmax, and Hmin, then: The first wave: the period is T1=t2-t1, and the climbing amplitude is P1=h1-m1; The second wave: the period is T2=t3-t2, and the climbing amplitude is P2=h3-m2; The third wave: the period is T3=t4-t3, and the climbing amplitude is P3=h4-m3; By analogy, we can get the amplitude a and period T of each climb in this time period, sort the climb amplitudes and calculate the average, and the maximum climb amplitude is the maximum climb P. max , the average value is the average climbing height P m , perform mean operation on the period T to obtain the climbing period Ts.

7. A river climbing detection method according to claim 1, characterized in that: The node m includes pressure sensor data Y; The original data at least includes the Y corresponding to the node mn that is submerged by the climb. m (p, t) and vibration data G m (g, t), where is the water density, g is the gravitational acceleration; The calculation formula of the climbing water body thickness d is: 。 8. A river climbing detection method according to claim 1, characterized in that: The calculation of the impact force F at the node in step S03 includes: S31, the speed of water in mn , where Pm is the climbing period of node mn, and Tm is the climbing amplitude of node mn; S32. Calculate the impact force F of the water body: ； Where L is the width.

9. A river climbing detection method according to claim 1, characterized in that: The node m includes a vibration sensor G that collects vibration data G m (g, t), and perform judgment on the state of node m: When G m (g, t) ≤ stability threshold, indicating that the current node m is well fixed and not loose; As G m (g, t) > stability threshold, indicating that the current node m is loose and there is a risk of loss; Among them, the stability threshold is 0.02m / s 2 .

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