Fog source simulation and flood discharge atomization high-precision inversion system and method

Abstract

The invention discloses a fog source simulation and flood discharge atomization high-precision inversion system and method, and belongs to the field of flood discharge atomization of release structures. Comprising a prototype observation data set, a fog source generation device, a nappe wind simulator, a laser transceiving device, a high-speed camera and a high-performance computer. The fog source generating device simulates a primary fog source formed in a flip water tongue water entering area, the nappe wind simulator simulates a nappe wind field, and the laser receiving and transmitting device obtains light field intensity information by detecting the shielding degree of laser by atomized rainfall; the high-speed camera is used for shooting high-quality images of section atomized raindrops; the high-performance computer receives the light field intensity information and converts the light field intensity information into a section average atomization intensity value, also receives the image information and converts the image information into a section scatter point atomization intensity value, and the section average atomization intensity value can be obtained through scatter point data calculation and compared with the section average atomization intensity value obtained through conversion of the light field intensity information. Compared with a traditional atomization measurement method, the simulation authenticity of a strong atomization area and an extremely weak atomization area (mist) under the action of a nappe wind field is improved, and the measurement efficiency and precision are improved.

Description

TECHNICAL FIELD

[0001] The present application relates to a kind of fog source simulation and flood discharge atomization high-precision inversion system and method, belong to flood discharge atomization field of discharge structure. BACKGROUND

[0002] In water conservancy and hydropower engineering, high dam flood discharge often uses flip bucket energy dissipation with high energy dissipation efficiency, but due to the characteristics of air fragmentation of flip bucket nappe, combined with the influence of environmental wind field, flood discharge atomization problem is prominent.For flip bucket energy dissipation without collision of air nappe, the causes of flood discharge atomization mainly have two: (1) flip bucket nappe falls into downstream energy dissipation water body, and water body collision forms atomization source, which is the main factor; (2) water tongue air broken, water droplet splashing forms atomization source, which is the secondary factor.

[0003] At present, the main means to study flood discharge atomization is model test and prototype observation. Affected by model scale, the atomization intensity and range of model test are generally smaller than the actual atomization distribution of prototype engineering, mainly in three aspects: (1) in prototype, the atomization intensity of strong (primary) atomization zone formed by water body collision is extremely large, the water body collision in model is weak, and the atomization intensity of primary atomization source formed is lower than that of prototype; (2) in prototype, the atomization raindrop (thin fog) of extremely small size cannot be further reduced and simulated in model test; (3) the model lacks effective simulation of environmental wind field (water tongue wind).

[0004] At the same time, the model test has higher requirements for atomization measurement personnel, and the measurement accuracy of different measurement personnel is difficult to be consistent. Therefore, the measurement of atomization rain intensity distribution and atomization influence area in common model test has certain limitations. SUMMARY

[0005] The present application aims at the shortcomings of the prior art, and provides a kind of fog source simulation and flood discharge atomization high-precision inversion system and method, which is high-precision inversion to flood discharge atomization by fog source simulation, nappe wind simulation, atomization form tracing and non-contact measurement method.

[0006] The first object of the present application is to provide: a kind of fog source simulation and flood discharge atomization high-precision inversion system, mainly including prototype observation data set, fog source generating device, nappe wind simulator, non-contact measurement device, etc., the non-contact measurement device includes laser transceiver device, (high pixel) high-speed camera, high-performance computer.

[0007] The prototype observation data set is obtained by hydraulic prototype observation work and is compared with the test data; the fog source generating device is used to generate a fog source to simulate the primary fog source formed in the water entry area of the bucket flow water jet; the water jet wind simulator is located behind the fog source generating device to simulate the surrounding wind field in the air operation process of the bucket flow water jet; the laser transceiver device is located in front of the fog source generating device, the light field intensity information is obtained by detecting the degree of laser shielding by atomized rain, and is transmitted to the high-performance computer; the high-speed camera is used to shoot high-quality image photos of the cross-section atomized raindrops, and the photos are transmitted to the high-performance computer; the high-performance computer receives the light field intensity information collected by the laser transceiver device, and converts the cross-section average atomization intensity value into the cross-section average atomization intensity value after processing by the high-performance computer, to make a preliminary judgment and auxiliary judgment; the high-performance computer also receives the image information collected by the high-speed camera, and converts the cross-section scattered point atomization intensity value into the cross-section scattered point atomization intensity value after processing by the high-performance computer, which is more accurate and has a larger data volume. The high-performance computer can also calculate the cross-section average atomization intensity value from the scattered point data (graph information collected), and compare the cross-section average atomization intensity value converted from the light field intensity information. Only when the difference between the cross-section average atomization intensity values converted from the light field intensity and the image processing is less than a threshold value (for example, 10%), it is proved that the two are well matched, and the distribution data of the cross-section scattered point atomization intensity is output.

[0008] 1. About the prototype observation data set The prototype observation data set includes: water jet entry point area atomization intensity value (including core strong atomization area and peripheral weak atomization (diffusion) area), water jet entry area contour, water jet air trajectory, water jet wind field distribution information.

[0009] Further, the water jet entry point area mainly includes the core strong atomization area and the peripheral weak atomization (diffusion) area at the moment of water body contact, and the atomization intensity can be recorded and measured in real time by an automatic (unattended) raindrop observation device. The measurement method is drop spectrum method.

[0010] Further, the water jet entry area contour is mainly the contour envelope of the water jet and water pad contact surface, and the water jet air trajectory is the longitudinal motion trajectory of the water jet, which is divided into upper edge trajectory and lower edge trajectory. Both of them can be observed by a unmanned aerial vehicle and obtained by image processing.

[0011] 2. About the fog source generating device The fog source generating device includes: a constant temperature water tank, a fog source pool, a liquid nitrogen storage, and a liquid nitrogen output pipe; the fog source pool is connected with the constant temperature water tank through inlet and outlet water pipelines to form a water circulation; the fog source pool includes a ring-shaped pool formed by an inner wall baffle and an outer wall baffle, the shape of the inner wall baffle matches the contour of the water jet entry area; the liquid nitrogen output pipe has a plurality of pipes connected with the liquid nitrogen storage through pipelines; the outlet ends of the liquid nitrogen output pipes are located above the fog source pool, and the outlet ends are evenly distributed along the inner wall baffle.

[0012] Further, the constant temperature water tank is made of rigid material, is covered with heat preservation material, is provided with a heating system, and a temperature sensor for measuring the internal water temperature.

[0013] Further, the inlet and outlet water pipes connected between the fog source pool and the constant temperature water tank are made of heat preservation material.

[0014] Further, the temperature of the water flowing into the constant temperature water tank can be controlled at the inlet water pipe connected between the constant temperature water tank and the fog source pool; before work, the internal water temperature of the constant temperature water tank needs to be adjusted to the working temperature; during work, the water temperature needs to be ensured within the specified temperature range.

[0015] Further, the area surrounded by the inner wall barrier of the fog source pool matches the outer contour of the water tongue entering area, that is, a hollow structure is formed in the middle of the fog source pool, and there is no hot water inside the hollow structure.

[0016] Further, the fog source pool is connected with the constant temperature water tank through the inlet and outlet water pipes, water is supplied from the constant temperature water tank through the inlet water pipe, and the water in the fog source pool is returned to the constant temperature water tank through the outlet water pipe, so as to realize the circulation of hot water and avoid the large drop of water temperature.

[0017] Further, a plurality of (the number is set as required) liquid nitrogen output ports (i.e. the outlet end of the liquid nitrogen output pipe) are arranged within the boundary of the hollow structure in the middle of the fog source pool (i.e. the inner side of the inner wall barrier).

[0018] The liquid nitrogen output pipe is installed on the outer side of the inner wall barrier (i.e. in the hollow structure), and the last section of the liquid nitrogen output pipe is in Z shape, so that the outlet end extends to the inner side of the inner wall barrier; at this time, the outlet end faces upward and is located above the water surface of the fog source pool; the liquid nitrogen is released outward from the outlet end and falls, reacts with the hot water in the fog source pool to form an atomization source, and simulates the atomization source formed by the water tongue entering the water after entering the water tongue entering area.

[0019] Further, the pipes for transporting liquid nitrogen are each provided with a valve to control the output amount of liquid nitrogen.

[0020] Further, each liquid nitrogen output pipe is equipped with a vertical linear module to enable the outlet end of the corresponding liquid nitrogen output pipe to move linearly in the vertical direction. A motor drives the lead screw of the vertical linear module, the rotation of the lead screw drives the linear movement of the sliding block along the guide rail, so that the liquid nitrogen output pipe installed on the sliding block moves up and down, thereby adjusting the height of the outlet end.

[0021] Further, the temperature of the constant temperature water tank and the position of the outlet end of the liquid nitrogen output pipe are calibrated before the start of the inversion test. The calibration method is as follows: (1) Open the inlet and outlet water pipe valves connected between the constant temperature water tank and the fog source pool, and start the hot water circulation; (2) Open the valve of the liquid nitrogen output pipe, release the liquid nitrogen, and form a large amount of water mist after the liquid nitrogen falls and contacts with the hot water in the mist source pool; (3) After the water mist is stable, measure the atomization intensity of the core strong atomization area and the surrounding weak (diffusion) atomization area, and compare it with the prototype observation data; (4) If the atomized rain intensity is too large, adjust the valve of the liquid nitrogen output pipe to reduce the output; if the core strong atomization area position is too high, adjust the position of the liquid nitrogen output port downward to reduce the mist source position; (5) If the atomized rain intensity is too small, adjust the valve of the liquid nitrogen output pipe to increase the output; if the core strong atomization area position is too low, adjust the position of the liquid nitrogen output port upward to improve the mist source position.

[0022] 3. About water tongue wind simulator The water tongue wind simulator comprises a fan group and a fan support; the fan group is composed of multiple fans, and the fan support is in the shape of a right triangle with its inclined surface facing the mist source pool; the inclined surface of the fan support is provided with a plurality of platforms for installing fans, and the platforms are arranged in a staggered manner from high to low.

[0023] Further, the power and model of each fan are determined according to the corresponding water tongue wind intensity, and the fan support is mainly used for supporting and fixing the fans.

[0024] Further, the fan support is in the shape of a triangle, and each fan is installed on a stepped platform to form an inclined arrangement, which is basically consistent with the in-air trajectory of the water tongue.

[0025] Further, each platform of the fan support is respectively provided with a straight line module in the flow direction, so as to enable the corresponding fan to move linearly in the flow direction. The motor drives the lead screw of the straight line module in the flow direction, and the rotation of the lead screw drives the sliding block to move linearly along the guide rail, so that the fan installed on the sliding block moves back and forth in the flow direction, thereby adjusting the front and rear positions of the fan.

[0026] Further, since the wind speed decreases after the fan blows, the fan group needs to be debugged before the test. The debugging method is as follows: (1) After fixing the position of the fan support, turn on the fan and measure the wind speed field of the corresponding area of the water tongue; (2) Compare the water tongue wind data obtained by the prototype observation, if the difference is less than 5%, it can be considered that the water tongue wind is similar; (3) If the difference is greater than 5%: ① The model wind speed is too large, the fan running power needs to be reduced, or the fan needs to be moved to a farther position (to enhance the attenuation effect of wind speed); ② The model wind speed is too small, the fan running power needs to be increased, or the fan needs to be moved to a closer position (to weaken the attenuation effect of wind speed).

[0027] 4. Regarding laser transceiver devices The laser transceiver includes a pair of oppositely arranged mounting panels, a plurality of laser transmitters, a plurality of laser receivers, and a pair of connecting rods; the bottom and top of the pair of mounting panels are connected by connecting rods respectively; the plurality of laser transmitters are evenly installed on one of the mounting panels from top to bottom; and the plurality of laser receivers are evenly installed on the other mounting panel in a one-to-one correspondence with the laser transmitters.

[0028] Furthermore, the two mounting panels are symmetrically positioned, and the upper and lower connecting rods ensure that their relative positions remain unchanged at all times.

[0029] Furthermore, the laser emitter can uniformly emit laser light in the horizontal direction. If there is no obstruction, the emitted laser light can be captured by the corresponding laser receiver. If there is rain or fog, the laser light can form unevenly distributed light spots on the measurement cross-section, i.e., fogging tracer points (the laser light passes through the cross-section with fog at the end, and the cross-section is densely packed with unevenly distributed light spots. The area of ​​the light spots around the measurement point can be converted into the fogging rain intensity of each measurement point).

[0030] Furthermore, the laser receiver is connected to a high-performance computer, which transmits the acquired light field intensity information to the high-performance computer. The high-performance computer converts the light field intensity into the cross-sectional average fogging intensity based on the response relationship between light field intensity and fogging intensity, which facilitates a preliminary judgment on the fogging intensity of each cross-section.

[0031] Furthermore, each of the two mounting panels has a horizontal linear module at its bottom, used to adjust the front and rear positions of the laser transmitter during the inversion test for measurement of different cross sections. The motor drives the lead screw of the horizontal linear module, and the rotation of the lead screw causes the slider to move linearly along the guide rail, causing the mounting panel mounted on the slider to move back and forth in the downstream direction, thereby adjusting the front and rear positions of the laser transceiver.

[0032] 5. Regarding high-speed cameras The high-speed camera is positioned on the top of the laboratory and mounted on a 3D gimbal. The 3D gimbal has a 3D rotating axis, which can be rotated in three dimensions via a remote control to adjust to the optimal shooting angle according to the different positions of the measurement cross-section.

[0033] Furthermore, the high-speed camera is wirelessly connected to a high-performance computer, transmitting the captured images to the computer in real time. After processing by the high-performance computer, the fog intensity value is obtained. Image processing methods include: 1) Image preprocessing: format conversion and batch cropping of pictures taken by high-speed cameras, ensuring that the pictures to be processed are valid regions, enhancing image contrast, adjusting image brightness and contrast, and making the attenuation levels of along-path atomization rain clear; using filtering technology to remove noise points in the image, eliminating laser diffuse reflection noise in solid areas, and improving image quality; 2) Atomization distribution measurement: select typical working conditions, use the drop spectrum method (fixed measurement personnel for manual measurement) to measure the atomization intensity values of different measurement points on a large scale, compare with the prototype observation data, confirm that the error is small, and record the measurement point position and atomization intensity (X, Y, Z, K) that meet the error requirements; during the drop spectrum method measurement, non-contact measurement is also carried out simultaneously; 3) Image measurement point atomization intensity assignment: input the position coordinates (X, Y, Z) of the measurement point, find the corresponding measurement section measurement point, and assign its atomization intensity value as K; 4) Image measurement point post-processing area determination: frame the drop spectrum measurement area (the size of the measurement area depends on the size of the drop spectrum test paper) centered on the measurement point; 5) Image measurement point light point area assignment: using the gray processing method, the framed area is processed: the position of the light point is recorded as the light point area; the position without light point is recorded as 0; the total light point area of the measurement area is obtained, which is recorded as the light point area data A of the measurement point; 6) Response relationship fitting: using neural network algorithm and machine learning method, using massive data, the response relationship between measurement point light point area A and atomization intensity value K is fitted, a vector database is generated, and the larger the measurement point light point area, the smaller the atomization value; 7) Batch processing of each measurement point data to form a data set of measurement point spatial position and atomization intensity (X, Y, Z, K), and output a three-dimensional atomization rain intensity distribution map.

[0034] The second object of the application is to provide: a fog source simulation and high-precision inversion method for flood discharge atomization, comprising the following steps: 1) Extracting prototype engineering data The prototype observation data set includes: water jet entry point area atomization intensity value, water jet entry area contour, water jet air movement trajectory, and water jet wind field distribution information; wherein the water jet entry point area atomization intensity value includes the core strong atomization area and the peripheral weak (diffusion) atomization area; 2) Installation Perform installation work of the fog source generation device, the water jet wind simulator, the laser transceiver device, the high-speed camera, and the high-performance computer; 3) Instrument calibration Determine the output power of the fog source generating device, the height of the outlet end of the liquid nitrogen output pipe, the shape of the fan support, the output power of the fan group, and the position of the fan for different measurement conditions; Confirm the operating status of the laser transceiver device, high-speed camera, and high-performance computer; 4) Pre-test Fog distribution measurement: Select typical conditions and use the drop spectrum method to measure the atomization intensity values at different measurement points on a large scale; Synchronously use the laser transceiver device and high-speed camera for measurement: Control the output of hot water, liquid nitrogen, and the fan group in the constant-temperature water tank, adjust the position and angle of the laser transceiver device and high-speed camera, record high-quality image photos of different cross sections, and transmit all measurement data to a high-performance computer and save them; 5) Pre-test data processing ① Process the measurement results of the drop spectrum method, compare them with the prototype observation data, and record the measurement point positions and atomization intensity (X, Y, Z, K) that meet the error requirements after confirming that the error is small; ② Image measurement point atomization intensity assignment: Input the position coordinates (X, Y, Z) of the measurement point, find the corresponding measurement cross section measurement point, and assign its atomization intensity as K; ③ Image measurement point post-processing area determination: Frame the drop spectrum measurement area (drop spectrum paper size) centered on the measurement point; ④ Image measurement point light point area assignment: Use the gray processing method to process the framed area: record the light point area at the light point position; record 0 at the position without light points; and aggregate the total light point area of the measurement area to record the light point area data A of the measurement point; ⑤ Cross-sectional light field intensity assignment: Select a region with uniform atomization distribution in the measurement cross section, calculate the average value K' of the measurement points in this region, and record the cross-sectional light field intensity Q; 6) Database generation Use the neural network algorithm and machine learning method to fit the response relationship between the light point area A, light field intensity Q, and atomization intensity K using massive data to generate a vector database; 7) Conduct formal test For all required conditions, use non-contact measurement methods for measurement, and adjust the measurement cross section density synchronously with step 4) during measurement; 8) Batch process measurement point data for different conditions to form a data set of measurement point spatial position and atomization intensity (X, Y, Z, K), output the three-dimensional atomization rain intensity distribution map for preview; Convert the light field intensity to atomization intensity to preliminarily check the general situation of the atomization rain intensity of each cross section, and formally output the three-dimensional atomization rain intensity distribution map after no obvious problems are found.

[0035] The present application adopts the method of fog source autonomous generation, wind field simulation and non-contact measurement to carry out high-precision inversion on flood discharge atomization, and relative to the traditional atomization measurement method, the simulation authenticity of the strong atomization area and the extremely weak atomization (thin fog) area under the action of the water tongue wind field is improved, the number of measurement points is greatly enriched, and the measurement efficiency and accuracy are improved, and the prototype flood discharge atomization can be more realistically and reasonably inverted in the model field. BRIEF DESCRIPTION OF DRAWINGS

[0036] Figure 1 It is a flood discharge atomization rain intensity distribution schematic diagram; Figure 2 It is a structure schematic diagram of the fog source pool and the constant temperature water tank of the present application; Figure 3 It is a structure schematic diagram of the outlet end of the liquid nitrogen output pipe of the present application; Figure 4 It is a structure schematic diagram of the water tongue wind simulator of the present application; Figure 5 It is a non-contact measurement method schematic diagram of the present application; In the figure: constant temperature water tank 1, fog source pool 2, inlet and outlet water pipeline 3, inner wall retaining wall 4, outer wall retaining wall 5, outlet end 6 of liquid nitrogen output pipe, fan 7, fan support 8, mounting panel 9, connecting rod 10, horizontal straight line module 11, high-speed camera 12, high-performance computer 13. DETAILED DESCRIPTION

[0037] A kind of fog source simulation and flood discharge atomization high-precision inversion system, including prototype observation data set, fog source generation device, water tongue wind simulator, laser transceiver device, high-pixel high-speed camera, high-performance computer.

[0038] The prototype observation data set includes: water tongue water entry point area atomization intensity value (including core strong atomization area, peripheral weak atomization (diffusion) area), water tongue water entry area contour, water tongue air movement trajectory, water tongue wind field distribution information.

[0039] As shown in Figure 2 , the fog source generation device includes: constant temperature water tank 1, fog source pool 2, liquid nitrogen storage, liquid nitrogen output pipe; the fog source pool is connected with the constant temperature water tank through inlet and outlet water pipeline 3, to form water circulation; the fog source pool includes annular pool composed of inner wall retaining wall 4 and outer wall retaining wall 5, the shape of the inner wall retaining wall is matched with the contour of the water deflecting jet water tongue water entry area; the liquid nitrogen output pipe is several, respectively connected with the liquid nitrogen storage through pipeline. The outlet end 6 of the several liquid nitrogen output pipes is located above the fog source pool, and the outlet ends are evenly distributed along the inner wall retaining wall.

[0040] The liquid nitrogen output pipe is installed on the outside of the inner wall retaining wall, and the last section is Z-shaped (as Figure 3As shown), the outlet end 6 is facing upward and located on the inner side of the inner wall baffle, and above the water surface of the mist source pool; liquid nitrogen is released from the outlet end and falls, reacting with the hot water in the mist source pool to form a mist source, simulating the formation of a primary mist source on the outer contour of the water tongue entry area after the water tongue enters the water.

[0041] In one embodiment of the invention, each liquid nitrogen output tube is equipped with a vertical linear module so that the outlet end of the corresponding liquid nitrogen output tube can be linearly displaced in the vertical direction.

[0042] like Figure 4 As shown, the water tongue wind simulator includes a group of fans and a fan support 8; the fan group is composed of multiple fans 7, and the fan support is in the shape of a right triangle with its inclined surface facing the fog source pool; the inclined surface of the fan support is provided with several platforms for fan installation, and the platforms are arranged in a staggered manner from high to low in a stepped manner to form an oblique arrangement, which is basically consistent with the aerial trajectory of the water tongue, simulating the accompanying wind field during the aerial operation of the water tongue.

[0043] In one embodiment of the present invention, each platform of the wind turbine support is provided with a linear module in the direction of flow so that the corresponding wind turbine can be linearly displaced in the direction of flow.

[0044] like Figure 5 As shown, the laser transceiver includes a pair of oppositely arranged mounting panels 9, a plurality of laser transmitters, a plurality of laser receivers, and a pair of connecting rods 10; the bottom and top of the pair of mounting panels are connected by the connecting rods respectively, and the plurality of laser transmitters are evenly installed on one of the mounting panels from top to bottom, and the plurality of laser receivers are evenly installed on the other mounting panel in one-to-one correspondence with the laser transmitters.

[0045] The laser emitter can uniformly emit laser light in the horizontal direction. If there is no obstruction, the emitted laser light can be captured by the corresponding laser receiver. If there is rain or fog, the laser light can form light spots of varying intensities on the measurement section, forming a fogged tracer point.

[0046] The laser receiver is connected to a high-performance computer, which transmits the acquired light field intensity information to the high-performance computer. Based on the response relationship between light field intensity and fogging intensity, the high-performance computer converts the light field intensity into the average fogging intensity value of the cross section, which facilitates a preliminary judgment on the fogging intensity of each cross section.

[0047] In one embodiment of the present invention, a pair of mounting panels are respectively provided with horizontal straight line modules 11 at the bottom, which are used to adjust the front and rear positions of the laser emitting device during the inversion test.

[0048] The high-speed camera 12 is arranged on the top of the test room and is installed on a three-dimensional gimbal provided with three-dimensional rotating shafts, which can be three-dimensionally rotated through a remote controller and is adjusted to an optimal shooting angle according to different measured section positions. The high-speed camera is wirelessly connected with the high-performance computer, and the images obtained through shooting are transmitted to the high-performance computer in real time, and the images are converted into section point atomization intensity values after being processed by the high-performance computer.

[0049] A kind of fog source simulation and flood discharge atomization high-precision inversion method, comprising the following steps: 1) extracting prototype engineering data The prototype observation data set includes: water curtain entry point area atomization intensity value, water curtain entry area contour, water curtain air movement trajectory, water curtain wind field distribution information; wherein, the water curtain entry point area atomization intensity value includes core strong atomization area, peripheral weak (diffusion) atomization area; 2) installation The installation work of the fog source generation device, the water curtain wind simulator, the laser transceiver device, the high-speed camera and the high-performance computer is carried out; 3) instrument calibration For different measurement conditions, the output power of the fog source generation device, the height of the liquid nitrogen output pipe outlet end are determined;The fan support shape, fan group output power and fan position are determined;The running state of the laser transceiver device, the high-speed camera and the high-performance computer is confirmed; 4) pre-test Atomization distribution measurement: select typical working conditions, measure the atomization intensity values of different measuring points by using the drop spectrum method;Synchronously use the laser transceiver device and the high-speed camera to measure: Control the output of hot water, liquid nitrogen and fan group in the constant temperature pool, adjust the position and angle of the laser transceiver device and the high-speed camera, record high-quality image photos of different sections, and all measurement data are transmitted to the high-performance computer and saved; 5) pre-test data processing ①process the measurement results of the drop spectrum method, compare with the prototype observation data, and record the measuring point position and atomization intensity (X, Y, Z, K) after confirming that the error is small; ②image measuring point atomization intensity assignment: input the position coordinates (X, Y, Z) of the measuring point, find the corresponding measuring section measuring point, and assign the atomization intensity value K to it; ③image measuring point post-processing area determination: frame the drop spectrum measurement area (the size of the measurement area is determined according to the size of the drop spectrum test paper) around the measuring point; ④image measuring point light point area assignment: use the gray processing method to process the framed area: record the light point area at the light point position, and record 0 at the position without light point, and then collect the total light point area of the measurement area, and record the light point area data A of the measuring point. 5) Cross-section light field intensity assignment: Select the area with uniform atomization distribution on the measurement cross-section, calculate the average value K' of the measurement points in this area, and record the light field intensity Q of the cross-section at the same time; 6) Database generation Using neural network algorithm and machine learning method, the response relationship between light spot area A, light field intensity Q and atomization intensity K is fitted by using massive data to generate vector database; 7) Conduct formal test For all required working conditions, non-contact measurement method is used for measurement, and step 4) is used for measurement. The density of the measurement cross-section is adjusted according to the atomization intensity distribution during measurement; 8) Batch processing of measurement point data of different working conditions to form data set of measurement point space position and atomization intensity (X, Y, Z, K), output three-dimensional atomization rain intensity distribution map for preview; convert light field intensity into atomization intensity, preliminarily check the general situation of atomization rain intensity of each cross-section, and formally output three-dimensional atomization rain intensity distribution map after no obvious problem.

Claims

1. A fog source simulation and flood discharge atomization high-precision inversion system, characterized in that, The application relates to a device for simulating the process of water flow in a spillway. The device comprises: a prototype observation data set, which is obtained by hydraulic prototype observation work and is used for comparison with test data; a fog source generating device for generating a fog source to simulate the primary fog source formed in the water flow tongue water entry area; a water flow wind simulator located behind the fog source generating device to simulate the accompanying wind field in the air during the operation of the water flow tongue; a laser transceiver device located in front of the fog source generating device, which obtains light field intensity information by detecting the degree of laser shielding by atomized rain, and transmits the information to a high-performance computer; a high-speed camera for shooting high-quality image photos of the cross-section atomized raindrops and transmitting the photos to the high-performance computer; 2. The system according to claim 1, wherein, the high-performance computer receives the light field intensity information collected by the laser transceiver device, converts the information into cross-section average atomization intensity values after processing by the high-performance computer, and receives the image information collected by the high-speed camera, converts the image information into cross-section scattered point atomization intensity values after processing by the high-performance computer.

3. The system according to claim 2, wherein, The prototype observation data set comprises water flow tongue water entry point area atomization intensity values, water flow tongue water entry area outer contour, water flow tongue air movement trajectory and water flow tongue wind field distribution information. The fog source generating device comprises a constant-temperature water tank, a fog source pool, a liquid nitrogen storage device and a liquid nitrogen output pipe; the fog source pool is connected with the constant-temperature water tank through inlet and outlet water pipes to form a water circulation system; The fog source pool comprises a ring-shaped pool formed by an inner wall baffle and an outer wall baffle, and the shape of the inner wall baffle is matched with the outer contour of the water flow tongue water entry area; 4. The system according to claim 3, wherein, The liquid nitrogen output pipe is connected with the liquid nitrogen storage device through pipes, and the outlet end of the liquid nitrogen output pipe is located above the fog source pool and is uniformly distributed along the inner wall baffle. The water flow wind simulator comprises a fan group and a fan support; the fan group is combined by multiple fans, and the fan support is in the shape of a right triangle, with the inclined surface of the fan support facing the fog source pool; 5. The system according to claim 4, wherein, The inclined surface of the fan support is provided with multiple platforms for mounting the fans, and the multiple platforms are arranged in a staggered manner from high to low. The laser transceiver device comprises a pair of oppositely arranged mounting panels, multiple laser emitters, multiple laser receivers and a pair of connecting rods; 6. The system according to claim 5, wherein, The bottom and top of the pair of mounting panels are connected through the connecting rods, the multiple laser emitters are uniformly mounted on one of the mounting panels from top to bottom, and the multiple laser receivers are uniformly mounted on the other mounting panel in one-to-one correspondence with the laser emitters.

7. The system according to claim 6, wherein, Each liquid nitrogen output pipe is provided with a vertical linear module to realize linear displacement of the corresponding liquid nitrogen output pipe in the vertical direction, so as to adjust the height of the outlet end.

8. The system according to claim 7, wherein, Each platform of the fan support is respectively provided with a straight-line module in the flow direction to realize linear displacement of the corresponding fan in the flow direction.

9. The system according to claim 8, wherein, The bottom of the pair of mounting panels is respectively provided with a horizontal linear module to adjust the front and back positions of the laser emitting device during the inverse test.

10. The inversion method of the system according to any one of claims 1 to 9, characterized in that, The high-speed camera is mounted on a three-dimensional holder to adjust the best shooting angle. The device comprises the following steps: 1) extracting prototype engineering data The prototype observation data set comprises water flow tongue water entry point area atomization intensity values, water flow tongue water entry area outer contour, water flow tongue air movement trajectory and water flow tongue wind field distribution information; the water flow tongue water entry point area atomization intensity values comprise a core strong atomization area and a peripheral weak atomization area; 2) installation Installation of the fog source generator, water plume wind simulator, laser transceiver, high-speed camera, and high-performance computer; 3) Instrument calibration For different measurement conditions, determine the output power of the fog source generator, the height of the liquid nitrogen output pipe outlet, the shape of the fan support, the output power of the fan group, and the fan position; confirm the operation status of the laser transceiver, high-speed camera, and high-performance computer; 4) Pre-test Fog distribution measurement: select typical conditions and use the drop spectrum method to measure the atomization intensity values at different measurement points; simultaneously use the laser transceiver and high-speed camera for measurement: Control the output of hot water, liquid nitrogen, and fan group in the constant-temperature pool, adjust the position and angle of the laser transceiver and high-speed camera, record high-quality image photos of different sections, and transmit all measurement data to the high-performance computer for saving; 5) Pre-test data processing ① Process the measurement results of the drop spectrum method and compare them with the prototype observation data to confirm that the error is small, then record the measurement point positions and atomization intensity (X, Y, Z, K) that meet the error requirements; ② Image measurement point atomization intensity assignment: input the position coordinates (X, Y, Z) of the measurement point, find the corresponding measurement section measurement point, and assign its atomization intensity as K; ③ Image measurement point post-processing area determination: frame the drop spectrum measurement area centered on the measurement point, and the size of the measurement area is determined according to the size of the drop spectrum test paper; ④ Image measurement point light point area assignment: use the gray processing method to process the framed area: record the light point area at the light point position, and record 0 at the non-light point position; aggregate the total light point area of the measurement area and record it as the light point area data A of the measurement point; ⑤ Cross-section light field intensity assignment: select a region with uniform atomization distribution in the measurement section, calculate the average value K' of the measurement points in this region, and record the cross-section light field intensity Q; 6) Database generation Use the neural network algorithm and machine learning method to fit the response relationship between the light point area A, light field intensity Q, and atomization intensity K using massive data to generate a vector database; 7) Conduct formal test For all required conditions, use non-contact measurement methods for measurement, and adjust the measurement section density according to the atomization intensity distribution in step 4); 8) Batch process measurement point data for different conditions to form a data set of measurement point spatial position and atomization intensity (X, Y, Z, K), output the three-dimensional atomization rain intensity distribution map for preview; convert the light field intensity to atomization intensity to preliminarily check the general situation of the atomization rain intensity of each section, and formally output the three-dimensional atomization rain intensity distribution map after no obvious problems are found.

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