Method and system for evaluating effective defense posture formation of simulated mountain torrents

Abstract

The invention relates to an effective defense posture formation evaluation method and system for simulating mountain torrents, and belongs to the technical field of simulation devices. The method comprises the steps that the sectional area and flow data of a circulating water tank are obtained, a flood flow model is established, and constant flow velocity analysis is conducted on the flood flow to obtain comprehensive simulation flow; flow path data and flow area of the simulated flood are obtained, a true water environment drilling device is established, and a stress matrix for resisting the flood impact force is calculated; setting a formation for resisting water level burst to obtain a test set, and testing the test set according to the stress matrix to obtain ideal position data; position estimation is carried out on personnel positions of all the formations in the test set through the wireless sensor network to obtain position data, and the effective defense degree of all the formations in the test set is evaluated by calculating distance measurement of the position data and ideal position data. The flood outbreak is simulated, the effective formation defending posture is evaluated, and the correct formation and coping strategy for defending the water level outbreak are mastered.

Description

Technical Field

[0001] This invention belongs to the field of simulation device technology, specifically relating to an effective method and system for assessing the posture and formation of simulated flash floods. Background Technology

[0002] Flash floods and sudden, short-duration rainfall causing water surges and urban flooding, influenced by rainfall intensity and topography, may be accompanied by secondary disasters such as mudslides and landslides, seriously threatening national economic growth and the safety of people's lives and property. Extreme weather can also cause floods and urban flooding; their suddenness can result in significant losses of life. Existing training and simulation devices cannot meet the needs of the general public in applying what they have learned, especially lacking realistic simulation exercises. Ordinary people lack self-rescue strategies for escape and teamwork knowledge. Therefore, the primary purpose of this invention is to enable self-rescue and escape in the face of sudden disasters and to master disaster avoidance and self-rescue skills. Summary of the Invention

[0003] To address the aforementioned problems in the existing technology, this invention provides an effective method and system for assessing the posture and formation for simulating flash floods.

[0004] The objective of this invention can be achieved through the following technical solutions:

[0005] S1: Obtain flood simulation flow data by acquiring the cross-sectional area of ​​the water flow and the flow rate data of the circulating water tank, establish a flood flow model, and perform steady flow analysis on the flood flow through the flood flow model to obtain the comprehensive simulated flow;

[0006] S2: Obtain the flow path data and flow area of ​​the simulated flood, establish a training exercise device model based on the flow path data and flow area, and calculate the interval-based flood tension matrix based on the comprehensive simulated flow rate and the training exercise device model.

[0007] S3: Set up a cross-stream formation to resist the surge in water level and obtain a test set. Perform experimental tests on the test set according to the flood pull matrix to obtain ideal position data.

[0008] S4: The position data of personnel in each formation within the test set is obtained by estimating their positions through a wireless sensor network. The effective defense capability of each formation within the test set is evaluated by calculating the distance between the position data and the ideal position data.

[0009] Specifically, S1 includes:

[0010] Based on the simulated flood water level, flow velocity, inundation depth, and simulated flood discharge data, the momentum change of the simulated flood per unit time is obtained, expressed as:

[0011] P2-P1+W x -F f =QρΔV x ,

[0012] Where P1 and P2 are the pressures of the fluid on both sides of the flow path, and W x F is the gravitational force in the horizontal direction. f Let Q be the frictional force at the external boundary, Q be the flow rate, ρ be the water density, and ΔV be the velocity. x This represents the change in fluid velocity.

[0013] The steady-flow energy equation for the flood discharge model is established by defining the one-dimensional momentum change, and the calculation formula is as follows:

[0014]

[0015] Where Z1 and Z2 are the water flow heights at different cross-sections, Y1 and Y2 are the water flow depths at different cross-sections, a1 and a2 are the water flow coefficients at different cross-sections, v1 and v2 are the average water flow velocities at different cross-sections, h is the contraction / expansion loss, and g is the gravitational acceleration.

[0016] The comprehensive simulated flow rate is obtained through the constant flow energy equation.

[0017] Specifically, S2 includes:

[0018] Collect data on the flow path and flow area of ​​simulated floods, assess the energy loss of floods during discharge and flow, and construct a model of the training and exercise device.

[0019] The tensile strain range is set according to the water depth, and the flood tensile force matrix is ​​obtained by calculating the flood tensile force in each tensile strain range through the comprehensive simulated flow rate.

[0020] As a preferred embodiment of the present invention, S3 includes:

[0021] A formation for crossing the stream to withstand sudden water level rise is established. Based on this formation, the equilibrium stress matrix is ​​obtained, and the calculation formula is as follows:

[0022]

[0023] Among them, [Ω] ij Let i be the equilibrium stress matrix, j be the row and column counts of the matrix, p be the edge set formed by the lines connecting the people in the formation, and w be the equilibrium stress matrix. ij For the stress of the edge corresponding to the edge set in row i and column j, w ik Let N be the stress of the edge corresponding to the edge set in row i and column k, where k is the vertex count and N is the number of vertexes. i The set of points in the formation, with people as vertices;

[0024] A linear transformation and translational combination of the equilibrium stress matrix are performed to obtain the affine transformation matrix;

[0025] Based on the water supply pull matrix and the affine transformation matrix, the ideal position data is obtained, and the calculation formula is as follows:

[0026]

[0027] Where p(t) is the ideal position data, I n It is the identity matrix. Let represent the Kronecker inner product, A(t) be the affine transformation matrix, and r be the identity matrix corresponding to a single formation within the test set. E n Let b(t) be a unit vector and b(t) be the water supply pull matrix.

[0028] Specifically, S4 includes:

[0029] Three reference nodes (x) are set based on the ideal position data. a y a ), (x b y b ), (x c y c The personnel position information of each formation within the test set is transmitted to the reference node via wireless sensors.

[0030] The wireless sensor measures the strength of the received wireless signal multiple times and averages the results. Based on the strength of the received wireless signal, the distances d1, d2, and d3 between the person's position and the reference node are obtained. Position data is then estimated based on these distances using the following formula:

[0031]

[0032] in, For location data, (x a y a ), (x b y b ), (x c y c ) represents the coordinates of three reference nodes, and d1, d2, and d3 represent the distances between the personnel position and the reference nodes;

[0033] A preset validity threshold is set. If the deviation between the location data and the ideal location data is greater than or equal to the validity threshold, the corresponding formation state in the test set is set as effective defense. If the deviation between the location data and the ideal location data is less than the validity threshold, the corresponding formation state in the test set is set as ineffective defense.

[0034] An effective resistance posture and formation assessment system for simulating flash floods includes a simulated flash flood flow analysis module, a flood tension calculation module, an ideal position assessment module, and an effective resistance assessment module;

[0035] The simulated flash flood flow analysis module is used to obtain cross-sectional area and flow data of circulating water tank to obtain flood simulation flow data, establish a flood flow model, and perform steady flow analysis on flood flow through the flood flow model to obtain comprehensive simulated flow.

[0036] The flood pull force calculation module is used to acquire the flow path data and flow area of ​​the simulated flood, establish a training exercise device model based on the flow path data and flow area, and calculate the interval-based flood pull force matrix based on the comprehensive simulated flow rate and the training exercise device model.

[0037] The ideal location assessment module is used to set up a cross-stream formation to resist sudden rises in water level and obtain a test set. The test set is then tested experimentally according to the flood pull matrix to obtain ideal location data.

[0038] The effective defense assessment module is used to estimate the position of personnel in each formation within the test set through a wireless sensor network to obtain position data, and to assess the effective defense level of each formation within the test set by calculating the distance between the position data and the ideal position data.

[0039] The beneficial effects of this invention are as follows:

[0040] (1) By setting up a practical training device, a flood is simulated using water circulation, multimedia and other technologies. A flood self-rescue classroom is created in the viewing area. Experiments are conducted on different formations to resist the impact of floods in the audience’s “flood self-rescue posture guessing”, and the best strategy for escape is verified.

[0041] (2) By setting up a flood flow model, establish the flood evolution process and flood inundation simulation results, use local information to design control methods to achieve the given formation shape, take personnel displacement as the state variable, estimate the position based on wireless sensor network, evaluate the effective formation resistance posture through position deviation, master the correct formation to resist the surge in water level, improve the public's ability to cross streams and teamwork ability, and improve the water affinity of professional rescuers. Attached Figure Description

[0042] To facilitate understanding by those skilled in the art, the present invention will be further described below with reference to the accompanying drawings.

[0043] Figure 1 This is a flowchart illustrating an effective posture and formation assessment method for simulating flash floods according to the present invention. Detailed Implementation

[0044] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided.

[0045] Please see Figure 1 An effective method for assessing posture and formation to withstand flash floods:

[0046] S1: Obtain flood simulation flow data by acquiring the cross-sectional area of ​​the water flow and the flow rate data of the circulating water tank, establish a flood flow model, and perform steady flow analysis on the flood flow through the flood flow model to obtain the comprehensive simulated flow;

[0047] S2: Obtain the flow path data and flow area of ​​the simulated flood, establish a training exercise device model based on the flow path data and flow area, and calculate the interval-based flood tension matrix based on the comprehensive simulated flow rate and the training exercise device model.

[0048] S3: Set up a cross-stream formation to resist the surge in water level and obtain a test set. Perform experimental tests on the test set according to the flood pull matrix to obtain ideal position data.

[0049] S4: The position data of personnel in each formation within the test set is obtained by estimating their positions through a wireless sensor network. The effective defense capability of each formation within the test set is evaluated by calculating the distance between the position data and the ideal position data.

[0050] Specifically, S1 includes:

[0051] Based on the simulated flood water level, flow velocity, inundation depth, and simulated flood discharge data, the momentum change of the simulated flood per unit time is obtained, expressed as:

[0052] P2-P1+W x -F f =QρΔV x ,

[0053] Where P1 and P2 are the pressures of the fluid on both sides of the flow path, and W x F is the gravitational force in the horizontal direction. f Let Q be the frictional force at the external boundary, Q be the flow rate, ρ be the water density, and ΔV be the velocity. x This represents the change in fluid velocity.

[0054] The steady-flow energy equation for the flood discharge model is established by defining the one-dimensional momentum change, and the calculation formula is as follows:

[0055]

[0056] Where Z1 and Z2 are the water flow heights at different cross-sections, Y1 and Y2 are the water flow depths at different cross-sections, a1 and a2 are the water flow coefficients at different cross-sections, v1 and v2 are the average water flow velocities at different cross-sections, h is the contraction / expansion loss, and g is the gravitational acceleration.

[0057] The comprehensive simulated flow rate is obtained through the constant flow energy equation.

[0058] In this embodiment, the HEC-RAS system is used for steady flow analysis. One-dimensional and two-dimensional hydraulic calculations are performed on natural and constructed river channels, riverbanks / floodplains, and flood control engineering protection zones. The one-dimensional energy equation is used to calculate and analyze each river cross-section. In the steady flow calculation formula, the time-based terms in the momentum and continuity equations approach zero. A Courant condition is used to calculate the numerical accuracy / stability standard interval. In one-dimensional modeling, the river flow direction is limited to the flow path defined in the one-dimensional model, and energy or force losses due to contraction and expansion require the definition of empirical coefficients and ineffective flow areas. Mapping for one-dimensional inundation zone modeling requires that the water surface must change linearly between any two cross-sections, and the water surface within the impoundment area must be flat.

[0059] Specifically, S2 includes:

[0060] Collect data on the flow path and flow area of ​​simulated floods, assess the energy loss of floods during discharge and flow, and construct a model of the training and exercise device.

[0061] The tensile strain range is set according to the water depth, and the flood tensile force matrix is ​​obtained by calculating the flood tensile force in each tensile strain range through the comprehensive simulated flow rate.

[0062] As a preferred embodiment of the present invention, S3 includes:

[0063] A formation for crossing the stream to withstand sudden water level rise is established. Based on this formation, the equilibrium stress matrix is ​​obtained, and the calculation formula is as follows:

[0064]

[0065] Among them, [Ω] ij Let i be the equilibrium stress matrix, j be the row and column counts of the matrix, p be the edge set formed by the lines connecting the people in the formation, and w be the equilibrium stress matrix. ij For the stress of the edge corresponding to the edge set in row i and column j, w ik Let N be the stress of the edge corresponding to the edge set in row i and column k, where k is the vertex count and N is the number of vertexes. i The set of points in the formation, with people as vertices;

[0066] A linear transformation and translational combination of the equilibrium stress matrix are performed to obtain the affine transformation matrix;

[0067] Based on the water supply pull matrix and the affine transformation matrix, the ideal position data is obtained, and the calculation formula is as follows:

[0068]

[0069] Where p(t) is the ideal position data, I n It is the identity matrix. Let represent the Kronecker inner product, A(t) be the affine transformation matrix, and r be the identity matrix corresponding to a single formation within the test set. E n Let b(t) be a unit vector and b(t) be the water supply pull matrix.

[0070] In this embodiment, a single integrator dynamic model is used. By constructing a distributed formation based on the stress matrix, the personnel formation can form and maintain the desired transformation formation to control the current position to approach the ideal position.

[0071] Specifically, S4 includes:

[0072] Three reference nodes (x) are set based on the ideal position data. a y a ), (x b y b ), (x c y c The personnel position information of each formation within the test set is transmitted to the reference node via wireless sensors.

[0073] The wireless sensor measures the strength of the received wireless signal multiple times and averages the results. Based on the strength of the received wireless signal, the distances d1, d2, and d3 between the person's position and the reference node are obtained. Position data is then estimated based on these distances using the following formula:

[0074]

[0075] in, For location data, (x a y a ), (x b y b ), (x c y c ) represents the coordinates of three reference nodes, and d1, d2, and d3 represent the distances between the personnel position and the reference nodes;

[0076] A preset validity threshold is set. If the deviation between the location data and the ideal location data is greater than or equal to the validity threshold, the corresponding formation state in the test set is set as effective defense. If the deviation between the location data and the ideal location data is less than the validity threshold, the corresponding formation state in the test set is set as ineffective defense.

[0077] In this embodiment, reference nodes are deployed within the watershed area, transmitting signals within their designated signal transmission regions. Signals are received at positioning nodes, and multiple RSSI measurements are performed on the positioning nodes. To further improve the accuracy of the RSSI data, Gaussian filtering is used to process the distortion-free RSSI data. If each measured RSSI is independent, the RSSI can be treated as a normal distribution, and Gaussian filtering can obtain a smooth RSSI, removing noise and enhancing RSSI accuracy.

[0078] An effective resistance posture and formation assessment system for simulating flash floods includes a simulated flash flood flow analysis module, a flood tension calculation module, an ideal position assessment module, and an effective resistance assessment module;

[0079] The simulated flash flood flow analysis module is used to obtain cross-sectional area and flow data of circulating water tank to obtain flood simulation flow data, establish a flood flow model, and perform steady flow analysis on flood flow through the flood flow model to obtain comprehensive simulated flow.

[0080] The flood pull force calculation module is used to acquire the flow path data and flow area of ​​the simulated flood, establish a training exercise device model based on the flow path data and flow area, and calculate the interval-based flood pull force matrix based on the comprehensive simulated flow rate and the training exercise device model.

[0081] The ideal location assessment module is used to set up a cross-stream formation to resist sudden rises in water level and obtain a test set. The test set is then tested experimentally according to the flood pull matrix to obtain ideal location data.

[0082] The effective defense assessment module is used to estimate the position of personnel in each formation within the test set through a wireless sensor network to obtain position data, and to assess the effective defense level of each formation within the test set by calculating the distance between the position data and the ideal position data.

[0083] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A method for evaluating effective posture and formation for simulating flash floods, characterized in that, include: S1: Obtain flood simulation flow data by acquiring the cross-sectional area of ​​the water flow and the flow rate data of the circulating water tank, establish a flood flow model, and perform steady flow analysis on the flood flow through the flood flow model to obtain the comprehensive simulated flow; S2: Obtain the flow path data and flow area of ​​the simulated flood, establish a training exercise device model based on the flow path data and flow area, and calculate the interval-based flood tension matrix based on the comprehensive simulated flow rate and the training exercise device model. S3: Set up a cross-stream formation to resist the surge in water level to obtain a test set, and conduct experimental tests on the test set according to the flood pull matrix to obtain ideal position data; S4: The position data of personnel in each formation within the test set is obtained by estimating their positions through a wireless sensor network. The effective defense capability of each formation within the test set is evaluated by calculating the distance between the position data and the ideal position data.

2. The method according to claim 1, characterized in that, S1 includes: Based on the simulated flood water level, flow velocity, inundation depth, and simulated flood discharge data, the momentum change of the simulated flood per unit time is obtained, expressed as: P2-P1+W x -F f =Q ρ ΔV x , Where P1 and P2 are the pressures of the fluid on both sides of the flow path, and W x F is the gravitational force in the horizontal direction. f Let Q be the frictional force at the external boundary, Q be the flow rate, ρ be the water density, and ΔV be the velocity. x This represents the change in fluid velocity. The steady-flow energy equation for the flood discharge model is established by defining the one-dimensional momentum change, and the calculation formula is as follows: Where Z1 and Z2 are the water flow heights at different cross-sections, Y1 and Y2 are the water flow depths at different cross-sections, a1 and a2 are the water flow coefficients at different cross-sections, v1 and v2 are the average water flow velocities at different cross-sections, h is the contraction / expansion loss, and g is the gravitational acceleration. The comprehensive simulated flow rate is obtained through the aforementioned constant flow energy equation.

3. The method according to claim 1, characterized in that, S2 includes: Collect data on the flow path and flow area of ​​simulated floods, assess the energy loss of floods during discharge and flow, and construct a model of the training and exercise device. The tensile strain range is set according to the water depth, and the flood tensile force matrix is ​​obtained by calculating the flood tensile force in each tensile strain range through the comprehensive simulated flow rate.

4. The method according to claim 1, characterized in that, S3 includes: A formation for crossing the stream to withstand sudden water level rise is established. Based on this formation, the equilibrium stress matrix is ​​obtained, and the calculation formula is as follows: Among them, [Ω] ij Let i be the equilibrium stress matrix, j be the row and column counts of the matrix, p be the edge set formed by the lines connecting the people in the formation, and w be the equilibrium stress matrix. ij For the stress of the edge corresponding to the edge set in row i and column j, w ik Let N be the stress of the edge corresponding to the edge set in row i and column k, where k is the vertex count and N is the number of vertexes. i The set of points in the formation, with people as vertices; A linear transformation and translational combination of the equilibrium stress matrix are performed to obtain the affine transformation matrix; The ideal position data is obtained based on the water supply pull matrix and the affine transformation matrix, and the calculation formula is as follows: Where p(t) is the ideal position data, I n It is the identity matrix. Let represent the Kronecker inner product, A(t) be the affine transformation matrix, and r be the identity matrix corresponding to a single formation within the test set. E n Let b(t) be a unit vector and b(t) be the water supply pull matrix.

5. The method according to claim 1, characterized in that, S4 includes: Three reference nodes (x) are set based on the ideal position data. a y a ), (x b y b ), (x c y c The personnel position information of each formation within the test set is transmitted to the reference node via wireless sensors. The wireless sensor measures the strength of the received wireless signal multiple times and averages the results. Based on the strength of the received wireless signal, the distances d1, d2, and d3 between the person's position and the reference node are obtained. Position data is then estimated based on these distances using the following formula: in, For location data, (x a y a ), (x b y b ), (x c y c ) represents the coordinates of three reference nodes, and d1, d2, and d3 represent the distances between the personnel position and the reference nodes; A preset validity threshold is set. If the deviation between the location data and the ideal location data is greater than or equal to the validity threshold, the corresponding formation state in the test set is set as effective defense. If the deviation between the location data and the ideal location data is less than the validity threshold, the corresponding formation state in the test set is set as ineffective defense.

6. An effective posture and formation assessment system for simulating flash floods, used to perform the method as described in any one of claims 1-5, characterized in that, It includes modules for simulating flash flood flow analysis, flood tension calculation, ideal location assessment, and effective resistance assessment. The simulated flash flood flow analysis module is used to obtain cross-sectional area and flow data of circulating water tank to obtain flood simulation flow data, establish a flood flow model, and perform steady flow analysis on flood flow through the flood flow model to obtain comprehensive simulated flow. The flood pull force calculation module is used to acquire the flow path data and flow area of ​​the simulated flood, establish a training exercise device model based on the flow path data and flow area, and calculate the interval-based flood pull force matrix based on the comprehensive simulated flow rate and the training exercise device model. The ideal location assessment module is used to set up a cross-stream formation to resist sudden rises in water level and obtain a test set. The test set is then tested experimentally according to the flood pull matrix to obtain ideal location data. The effective defense assessment module is used to estimate the position of personnel in each formation within the test set through a wireless sensor network to obtain position data, and to assess the effective defense level of each formation within the test set by calculating the distance between the position data and the ideal position data.

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