Tunnel flood early warning system and method based on fluid three-dimensional dynamic simulation

Abstract

The application discloses a tunnel flood early warning system based on fluid three-dimensional dynamic simulation and emulation, comprising: a data processing module for storing a water inflow rate model; a model module for storing a slice model set of tunnel water level rise simulation and emulation; a prediction module for acquiring future rain intensity, calculating water inflow rate, and calling the slice model of water level rise simulation and emulation; a display module for displaying a tunnel three-dimensional water level simulation video; and an emergency processing module for judging a risk level and outputting an emergency plan. The application has high early warning accuracy, long time efficiency and timeliness. The application discloses a tunnel flood early warning method, comprising: establishing and storing a water inflow rate model and a slice model set of tunnel water level rise simulation and emulation; acquiring future rain intensity, predicting V 进 , water inflow and water level depth, and calling the slice model of water level rise simulation and emulation; forming and outputting a tunnel three-dimensional water level simulation video; and judging a risk level and outputting an emergency plan.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of tunnel flood disaster early warning. More particularly, the present application relates to a tunnel flood early warning system and method based on fluid three-dimensional dynamic simulation. BACKGROUND

[0002] In recent years, highways have been continuously extended to mountainous areas, crossing Chongshan Junling, and the bridge-tunnel ratio has been rising. Long tunnels play an important role in reducing urban road land use, shortening driving distance, and developing urban economy.

[0003] Long-distance tunnels between cities are also important traffic routes with high traffic frequency. However, due to the low terrain and large slope of tunnels, when urban waterlogging occurs in extreme weather, rainwater on the road can easily flow into the tunnel, becoming the first place to accumulate water and the deepest place to accumulate water, which not only seriously affects normal traffic but also easily causes unpredictable losses and disasters.

[0004] In recent years, extreme weather has occurred frequently, and many places have been severely affected by flood disasters. The situation of encountering heavy rain weather is more severe than in the past. Severe heavy rain often leads to serious water accumulation in tunnels, and the instantaneous water quantity rises rapidly. Therefore, it is extremely important to conduct flood early warning and disposal for existing operational tunnels or newly built tunnels.

[0005] Long-distance tunnels are deep and narrow, and under the existing technical conditions, the early warning accuracy of long-distance tunnels for flood control and drainage is not high, and the early warning timeliness is short. Often, relevant equipment is started only after the disaster occurs, resulting in emergency lag. Therefore, it is of great economic and social value to study how to improve the pertinence, timeliness, channels and means of long-distance tunnel flood early warning information. SUMMARY

[0006] An object of the present application is to solve at least the above problems and to provide at least the advantages to be described later.

[0007] In order to achieve these objects and other advantages according to the present application, a tunnel flood early warning system based on fluid three-dimensional dynamic simulation simulation is provided, comprising:

[0008] A data processing module for storing a water inflow rate model, the water inflow rate model being shown as formula 1 and formula 2:

[0009] When RZ 进 = V0+ a x RZ+ V3+ V4- V5; formula 1

[0010] When RZ 进 = V0+ a x RZ+ b x RZ+ V3+ V4- V5; formula 2

[0011] wherein, RZ is the rainfall intensity, a is the internal inflow rate parameter, β is the external inflow rate parameter, V0 is the average fixed leakage rate of the tunnel, RZ0 is the rainfall intensity threshold, V3 is the fire-fighting water inflow rate, V4 is the abnormal water inflow rate, and V5 is the tunnel drainage rate, wherein a, β, V0, and RZ0 are obtained based on statistical analysis of historical water inflow data and historical drainage data of the tunnel;

[0012] a model module for storing a set of slice models of tunnel water level rise simulation and emulation, each slice model taking water as the fluid and taking the water level depth as the identifier, showing the tunnel waterlogging state and the corresponding key factor parameter information, and each slice model having a unique configuration number, wherein the water level depth is calculated based on the water inflow and the tunnel volume;

[0013] a prediction module for obtaining the rainfall intensity RZ, the fire-fighting water inflow rate, the abnormal water inflow rate, and the tunnel drainage rate in a future period of time, and calculating the water inflow rate V 进 in the future period of time based on the rainfall intensity RZ by calling the water inflow rate model, calculating the water inflow and the tunnel water level depth in the future period of time based on the water inflow rate, calling the slice model and the key factor parameter information corresponding to the configuration number corresponding to the water level depth, and forming a predicted water level rise simulation and emulation slice model;

[0014] a display module for outputting the tunnel slice models arranged in the time axis order and displaying the corresponding key factor parameter information at the same time to form a tunnel three-dimensional water level simulation video with the time as the x-axis;

[0015] an emergency treatment module for statistically analyzing the tunnel flooding time and the predicted drainage completion time, and for presetting the risk level discrimination rule and the emergency plan, and outputting the emergency plan according to the discrimination result of the risk level discrimination rule.

[0016] Preferably, the tunnel historical water inflow data includes the tunnel water inflow Q 进 in the non-rainfall period, the tunnel water inflow is the inherent leakage Q0 of the tunnel, the tunnel historical drainage data includes the tunnel drainage Q 排 in the non-rainfall period, and the data processing module obtains the value of the parameter V0 based on the statistical analysis and fitting of the formulas 1, 3-5;

[0017] Q 进 = Q 排 Formula 3

[0018] Q 进 = Q0 Formula 4

[0019] V 进 = Q 进 / t 排 Formula 5.

[0020] Preferably, the tunnel historical inflow data includes rainfall intensity RZ, rainfall time and tunnel inflow Q during the rainfall period 进 , the tunnel inflow includes inherent leakage Q0 of the tunnel, fixed inflow Q1 of rainwater and external inflow Q2 of rainwater, and the tunnel historical drainage data includes tunnel drainage Q during the rainfall period 排 ;

[0021] The data processing module is configured to statistically analyze the formula 1 to obtain the value of the parameter RZ0 corresponding to the rainfall intensity when the inflow rate increases;

[0022] The data processing module statistically analyzes and fits the value of the parameter a based on the formula 1 by selecting the tunnel historical inflow data with rainfall intensity RZ < RZ0;

[0023] The data processing module statistically analyzes and fits the value of the parameter β based on the formula 2 by selecting the tunnel historical inflow data with rainfall intensity RZ > RZ0.

[0024] Preferably, it further comprises a terminal acquisition device for acquiring the tunnel historical inflow data and historical drainage data, and the terminal acquisition device comprises:

[0025] A rain gauge for real-time acquisition of rainfall and rainfall time, calculation of real-time rainfall intensity average value RZ, storage and obtaining of historical rainfall intensity data RZ;

[0026] A fire pipe flow meter for detecting the fire water pipe flow, and the data processing module calculates the fire water inflow rate V3 based on the fire water pipe flow;

[0027] A liquid level meter for detecting the liquid level rising value and the rising time, and the data processing module calculates the liquid level rising speed V 升 and the abnormal inflow rate V4 by using the formula 6;

[0028] V4 = V 升 × S formula 6

[0029] Wherein, S is the cross-sectional area of the pump house water gauge;

[0030] A drainage pipe flow meter and a drainage pump flow meter for acquiring the drainage volume, and statistically analyzing the total flow of each pump, the drainage volume and the total flow of each pump are used to calculate the actual drainage rate V 泵 of the water pump, and the data processing module calculates the tunnel drainage rate V5 by using the formula 7;

[0031] V5 = n × V 泵 formula 7

[0032] Wherein, n is the actual number of water pumps in operation, and V 泵The actual water pump discharge rate.

[0033] Preferably, the device operating situation monitoring device further comprises:

[0034] A plurality of active electronic tags, which are arranged on the water pump and the distribution box, are used to monitor and save the voltage and current parameter values of the outgoing line of the distribution box, the temperature of the incoming cable, the switch opening and closing position state, and the tripping condition, and are used to monitor the operating flow, the lift, the shaft power, and the specific speed of the water pump device in real time.

[0035] A plurality of pairs of master radio frequency modules and slave radio frequency modules are arranged on the top of the tunnel, and are used to identify the data information of the active electronic tags in the pump house and the distribution room within the antenna radiation range, and to realize double-channel data communication of the RFID system.

[0036] A ZigBee terminal node is wirelessly connected to the master radio frequency module and the slave radio frequency module, and is used to receive the data information of the active electronic tags transmitted by the master radio frequency module and the slave radio frequency module, and to transmit control commands back to the master radio frequency module and the slave radio frequency module.

[0037] A ZigBee coordinator node is wirelessly connected to the ZigBee terminal node, and is used to receive the data information sent by the ZigBee terminal node, and to transmit control commands back to the ZigBee terminal node.

[0038] A PC host computer is connected to the ZigBee coordinator node through a local area network, and is used to receive the data information sent by the ZigBee coordinator node, to judge the operating state of the distribution box and the water pump according to a preset rule based on the data information, and to transmit control commands back to the ZigBee coordinator node.

[0039] Preferably, the preset rule comprises:

[0040] When the voltage and current change rate of the outgoing line circuit of the distribution box is large or the switch action is abnormal, the flow, lift, and shaft power in the water pump operating state are judged, specifically:

[0041] When and or and differ by 5-10%, the early warning level is primary;

[0042] When and or and When the values of H1 and H2 differ by 11-25%, the early warning level is intermediate;

[0043] When When When When When the values of H1 and H2 differ by 26-40%, the early warning level is special;

[0044] H1 and H2 represent the head between two different time periods, Q3 and Q4 represent the flow between two different time periods, and N1 and N2 represent the shaft power between two different time periods.

[0045] Preferably, the model early warning level determination rule further comprises:

[0046] When the tunnel water level is higher than the preset standard water level by 5-10%, and V 进 is less than 0, the model early warning level is primary;

[0047] When the tunnel water level is higher than the preset standard water level by 11-25%, and V 进 is close to 0, the model early warning level is intermediate;

[0048] When the tunnel water level is higher than the preset standard water level by 26-40%, and V 进 is greater than 0, the model early warning level is special;

[0049] The risk level determination rule comprises:

[0050] When the early warning level of the distribution box and water pump operating state is primary, and when the model early warning level is primary or intermediate, the risk level is level one;

[0051] When the early warning level of the distribution box and water pump operating state is primary, and when the model early warning level is high, the risk level is level two;

[0052] When the early warning level of the distribution box and water pump operating state is intermediate, and when the model early warning level is primary, the risk level is level one;

[0053] When the early warning level of the distribution box and water pump operating state is intermediate, and when the model early warning level is intermediate, the risk level is level two;

[0054] When the early warning level of the distribution box and water pump operating state is intermediate, and when the model early warning level is high, the risk level is level three;

[0055] When the early warning level of the distribution box and water pump operating state is high, and when the model early warning level is primary or intermediate or high, the risk level is level three.

[0056] Preferably, the emergency plan comprises:

[0057] When the risk level is level one, the tunnel portal gantry display board displays the tunnel water accumulation in real time;

[0058] When the risk level is level two, vehicles are prohibited from entering;

[0059] When the risk level is level three, vehicles are prohibited from entering, and the police signal light system is linked, the signal light in the direction leading to the tunnel at a road junction in front of the tunnel is uniformly displayed as red, and all vehicles in the direction leading to the tunnel are diverted.

[0060] Preferably, the method for establishing the tunnel slice model comprises:

[0061] The three-dimensional point cloud data of the tunnel is obtained by laser scanning, and the three-dimensional point cloud data is fitted by point cloud processing software, and the three-dimensional model of the tunnel is exported to the local;

[0062] The three-dimensional model of the tunnel is imported into a three-dimensional modeling software, the three-dimensional model of the facilities and the three-dimensional model of the equipment are assembled on the three-dimensional model of the tunnel to obtain a refined three-dimensional model of the tunnel, wherein the facilities include water ditches, water guide ditches, rain and sewage pipes and pump rooms, and the equipment includes rain gauges, water supply and drainage equipment, traffic facility equipment and pipeline equipment;

[0063] The refined three-dimensional model of the tunnel is imported into a fluid simulation software, grid parameters are set, a structured grid is automatically generated, the fluid is set as water, boundary condition and environmental condition parameters are set, and a structured grid model of the tunnel is obtained;

[0064] Key factor parameters are set, including water depth, each water depth corresponds to a submerged simulation water body surface contour, a submerged simulation water body surface contour position coordinate, a tunnel water volume, a water accumulation center point coordinate and a low point coordinate, wherein the water accumulation center point coordinate is a contour geometric center;

[0065] The tunnel water accumulation condition of a uniform flow rate is simulated and analyzed, and the structured grid model of the tunnel is scanned layer by layer from low to high, and the key factor parameter information corresponding to each water depth is automatically output;

[0066] A water level rise simulation and analysis slice model is established based on the key parameter factor information, the water depth is taken as an identifier, a configuration number is set, and the slice model is exported to obtain a slice model set.

[0067] A tunnel flood warning system warning method based on fluid three-dimensional dynamic simulation and analysis is provided, comprising the following steps:

[0068] S1, a water inflow rate model is established and stored, and the water inflow rate model is shown in formula 1 and formula 2:

[0069] When RZ < RZ0, V 进 = V0 + a x RZ + V3 + V4 - V5; Equation 1

[0070] When RZ >= RZ0, V 进 = V0 + a x RZ + b x RZ + V3 + V4 - V5; Equation 2

[0071] Wherein, RZ is the rainfall intensity, a is the internal inflow rate parameter, b is the external inflow rate parameter, V0 is the average fixed leakage rate of the tunnel, RZ0 is the rainfall intensity threshold, V3 is the fire water inflow rate, V4 is the abnormal water inflow rate, and V5 is the tunnel drainage rate, wherein a, b, V0, and RZ0 are obtained based on statistical analysis of historical water inflow data and historical drainage data of the tunnel;

[0072] S2, a slice model set of tunnel water level rise simulation is established and stored, each slice model takes water as a fluid, takes water level depth as an identifier, and displays the tunnel waterlogging state and corresponding key factor parameter information, and each slice model has a unique configuration number, wherein the water level depth is calculated based on the water inflow and the tunnel volume;

[0073] S3, the rainfall intensity RZ, the fire water inflow rate, the abnormal water inflow rate, and the tunnel drainage rate in a future period of time are obtained, the water inflow rate V 进 in the future period of time is calculated based on the rainfall intensity RZ by calling the water inflow rate model, the water inflow and the tunnel water level depth in the future period of time are calculated based on the water inflow rate, the slice model and the key factor parameter information corresponding to the configuration number corresponding to the water level depth are called, and a predicted water level rise simulation slice model is formed;

[0074] S4, the tunnel slice model arranged in time sequence is outputted by taking time as the x-axis, and the corresponding key factor parameter information is displayed at the same time, and a tunnel three-dimensional water level simulation video is formed;

[0075] S5, the tunnel flooding time and the predicted drainage completion time are statistically analyzed, a risk level discrimination rule and an emergency plan are preset, and the emergency plan is outputted according to the discrimination result of the risk level discrimination rule.

[0076] The present application at least includes the following beneficial effects: the present application focuses on four parts of long-distance tunnel rainfall, road waterlogging information collection, equipment operation situation monitoring, algorithm model establishment, emergency warning and disposal, forms a grading means for defending flood disasters, refines the emergency plan of each level of flood disaster, plays a warning role, and maximizes the loss caused by flood disasters.

[0077] Other advantages, objects, and features of the application will be apparent from the following specification, and upon examination of the appropriate drawings. BRIEF DESCRIPTION OF DRAWINGS

[0078] Figure 1 A framework flowchart of the early warning system of the present application;

[0079] Figure 2 A framework flowchart of the establishment of the tunnel refined three-dimensional model of the present application Figure I ;

[0080] Figure 3 A framework flowchart of the establishment of the tunnel refined three-dimensional model of the present application Figure II ;

[0081] Figure 4 A framework flowchart of the establishment of the water level rise simulation simulation slice model of the present application;

[0082] Figure 5 A framework flowchart of the establishment of the water level rise simulation simulation slice model of the present application; Figure I ;

[0083] Figure 6 A framework flowchart of the establishment of the water level rise simulation simulation slice model of the present application; Figure II ;

[0084] Figure 7 A framework flowchart of the establishment of the water level rise simulation simulation slice model of the present application; Figure I ;

[0085] Figure 8 A framework flowchart of the establishment of the water level rise simulation simulation slice model of the present application; Figure II . DETAILED DESCRIPTION

[0086] The present application will be further described below in conjunction with the accompanying drawings, so that those skilled in the art can implement it according to the description in the specification.

[0087] It should be noted that the experimental methods described in the following embodiments are all conventional methods unless otherwise specified, and the reagents and materials can be obtained from commercial channels unless otherwise specified; in the description of the present application, the orientation or positional relationship indicated by the terms is based on the orientation or positional relationship shown in the drawings, which is only for the convenience of describing the present application and simplifying the description, and does not indicate or imply that the device or element referred to must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as a limitation on the present application.

[0088] As shown in Figures 1-8 , the present application provides a tunnel flood early warning system based on fluid three-dimensional dynamic simulation, which comprises:

[0089] I. Obtain 3D point cloud data by importing laser scanning data of the tunnel into point cloud processing software. Perform preprocessing operations such as denoising, simplification, registration, and hole filling on the 3D point cloud data, set boundary conditions and accuracy levels, check the 3D data and correct defects, automatically fit and export the 3D model of the tunnel to the local machine.

[0090] Import the 3D model into 3D modeling software. Using the BIM model as a reference, refine the models of facilities such as drainage ditches, storm and sewage pipes, and pumping stations through 3D modeling. Import relevant models of rain gauges, water supply and drainage equipment, traffic facilities and equipment, and pipeline equipment into the 3D model. Based on the BIM design parameters, manually assemble each component into the 3D model. Observe the assembled 3D model and use an interference check tool to check for assembly interference. Once the meshing operation is complete and no abnormalities are found, export the refined 3D model of the tunnel.

[0091] A detailed 3D model of the tunnel is imported into fluid simulation software, meshing parameters are set, and a structured mesh is automatically generated. The fluid is set to water, and boundary conditions and environmental conditions are defined. The mesh is inspected, and the model is divided into blocks and locally refined to obtain a high-quality structured mesh model of the tunnel.

[0092] Key factor parameters are set, including water level depth. Each water level depth corresponds to the surface contour of the submerged simulated water body, the position coordinates of the surface contour of the submerged simulated water body, the volume of water that the tunnel can hold, the coordinates of the center point of the water accumulation, and the coordinates of the lowest point, forming a key parameter monitor. The coordinates of the center point of the water accumulation are the geometric center of the contour. The simulation simulates the water accumulation condition of a uniform flow tunnel, and the structured mesh model is scanned layer by layer from low to high, automatically outputting the key factor parameter data of the water inflow.

[0093] A water level rise simulation slice model is established based on key factor parameters, using water level depth as an identifier, setting configuration numbers, and exporting the slice model. Based on the water inflow key factor parameter data and configuration numbers, an API interface P1 is developed that transmits parameters as volume (the volume of water that the tunnel can hold for each water level depth) and outputs the configuration number and key factor parameter data.

[0094] Based on the sliced ​​model, import it into the rendering tool, set the materials for fluids, building facilities, and electromechanical equipment, and apply textures. The model is then automatically rendered and generated for subsequent simulation effects.

[0095] The development parameter is the model number (the model number corresponds one-to-one with the configuration number), and the output is the 3D water level simulation video stream push interface P2, which is used for the effect presentation on the web page.

[0096] II. By installing siphon rain gauges at the tunnel entrances and exits, the precipitation Q is continuously recorded. tAnd the precipitation duration (rainfall time) t, the continuous rain intensity data RZ = Q t ÷t, which varies with the local rainfall time. This data can be synchronized with the local design rain intensity formula to perform real-time rainfall duration t and design return period P (years) multiple simulation fitting. The rain intensity data is calculated and stored for real-time rainfall and rainfall prediction analysis calculation.

[0097] The analysis of the water inflow source of the tunnel mainly includes inherent leakage of the tunnel, flushing water inflow (external inflow), rainwater dynamic inflow, internal fire disaster water of the tunnel, and abnormal conditions.

[0098] In the case of normal operation and management (during non-rainfall period), the total amount of tunnel drainage Q 排 is equal to the amount of water inflow, and the design water inflow rate V 进 = total drainage amount / total drainage time = Q 排 ÷t 排 . According to historical tunnel drainage data, excluding flushing water (external inflow), rainwater dynamic inflow, fire disaster water, and abnormal point data, at this time the leakage amount Q 渗 is equal to the drainage amount Q 排 . The average fixed leakage rate V0 = Q 排 ÷t 排 of the tunnel in normal operation and management (during non-rainfall period) is calculated, thereby obtaining the value of the average fixed leakage rate V0 of the tunnel. When the V0 value changes significantly, it can also be used to check the water leakage of the tunnel.

[0099] During rainfall, according to historical tunnel drainage data, excluding unused fire water and abnormal points, at this time the water inflow rate V 进 = average fixed leakage rate V0 + rainwater fixed inflow rate V1 + rainwater external inflow rate V2. Since V1, V2 are related to rain intensity RZ and external drainage V p capacity, the water inflow rate V 进 is modified as V0 + α × RZ + β × RZ, where α is the internal inflow rate parameter and β is the external inflow rate parameter. Project data is collected by day, and data that deviates significantly is called abnormal data point.

[0100] Through statistical analysis, it can be known that when the rain intensity RZ is greater than a certain threshold value, the water inflow rate increases, and the rain intensity RZ0 value at this time is recorded, thereby obtaining the value of the rain intensity threshold RZ0 of the tunnel.

[0101] When RZ < RZ0, V 进 = V0 + α × RZ formula 1

[0102] When RZ ≥ RZ0, V 进 = V0 + α × RZ + β × RZ formula 2

[0103] According to the historical data of normal production and operation of the tunnel, the historical data when RZ < RZ0 is selected, the control variable is drawn into an spss scatter plot to assist in judging that the data basically meets linear distribution, the residual error is set to obey normal distribution, the residual error is not autocorrelated, the "estimated value" is selected in the regression coefficient, and the "95% confidence interval" is set. The significance test and calculation of the regression coefficient are performed, the "histogram" and "normal probability diagram" in the standardized residual error diagram are selected to test whether the residual error of the regression equation obeys normal distribution. The regression algorithm model is imported, and the best parameter of the current a is fitted out in turn through the least square method to obtain the value of a.

[0104] The historical data when RZ ≥ RZ0 is selected, and the above steps are repeated. The best parameter of the current β is fitted out in turn through the least square method to obtain the value of β.

[0105] When a fire occurs inside the tunnel, fire water needs to be used. Remote data and a flowmeter are arranged at the inlet of the fire water, and the fire water inlet rate V3 can be obtained.

[0106] A water level gauge is arranged at the low point in the tunnel and the pump house. According to the pump house water level gauge cross-sectional area S and the liquid level rising speed V 升 , the abnormal water inlet speed V4 is calculated, V4 = V 升 × S. Under normal circumstances, the water pump drainage capacity is higher than the water inlet amount, and the liquid level will not be higher than the set value. If the liquid level rises beyond the set value, it is considered that the liquid level rise is caused by unknown factors, such as pump damage.

[0107] According to the historical water pump drainage capacity, the actual water pump drainage capacity V 泵 is obtained, and the actual drainage capacity is obtained according to the number of equipment in operation n, V5 = n × V 泵 ;

[0108] The water inlet rate model is set, the water inlet rate V 进 = total drainage amount Q 排 / total drainage time t 排 = inherent leakage rate V0 + rainwater fixed inflow rate V1 + rainwater external inflow rate V2 + fire water rate V3 + abnormal rate V4 - drainage rate V5 = V0 + a × RZ + β × RZ + V3 + V 升 × S - n × V 泵 . According to the real-time state and data of the equipment of the hardware system collected by the Internet of Things platform, an API interface P3 is developed, which takes the rain intensity RZ as a parameter and outputs the water inlet rate.

[0109] Ⅲ, according to the future rainfall data accessed from the meteorological bureau, the rain intensity RZ 预 in a period of time is obtained.

[0110] The system will output the rain intensity RZ预 As a parameter call P3 interface, the expected water inflow rate is obtained to draw the time and water inflow curve.

[0111] The system calls P1 interface with water inflow as a parameter, and obtains the configuration number and key factor parameter data of each time period.

[0112] The system calls P2 interface with the configuration number as a parameter to obtain the three-dimensional water level simulation video stream. The video stream is used as the background of the webpage large screen, and the key factor parameter data and other statistical data are placed on both sides. The time axis is placed at the bottom, and the user can freely drag the time axis to obtain the water level model simulation video and data at different times to form a tunnel flood dynamic three-dimensional simulation page for intuitive experience.

[0113] IV. Define the water level model warning level (model warning level judgment rule):

[0114] When the tunnel water level depth is higher than 5-10% of the preset standard water level, and V 进 is less than 0, the model warning level is primary;

[0115] When the tunnel water level depth is higher than 11-25% of the preset standard water level, and V 进 is close to 0, the model warning level is intermediate; wherein, close to 0 can be understood as equal to 0, or set to a range around 0 according to the actual tunnel situation.

[0116] When the tunnel water level depth is higher than 26-40% of the preset standard water level, and V 进 is greater than 0, the model warning level is special.

[0117] V. Equipment operation situation monitoring: In view of the problems of inconvenient monitoring of traditional tunnel mechanical and electrical equipment operation information, low maintainability of traditional monitoring technology, and poor system scalability, the electronic tag identification technology of ZigBee and RFID technology is used. The system has the advantages of strong penetration, multiple repeated data writing, high security, large data storage space, low cost, high flexibility, long transmission distance, low power consumption, etc. The working conditions of the water pump in the tunnel, the distribution box and other facilities are monitored and displayed in real time. The hardware structure of the system mainly consists of 5 parts: active electronic tags, master-slave radio frequency modules, ZigBee terminal nodes, ZigBee coordinator nodes and PC host computers.

[0118] Voltage and current detection instruments are set at the end of the water pump and the distribution box equipment, and upper and lower limit values are set. A number of active electronic tags of current, voltage and temperature are defined to monitor and save the voltage and current parameter values of the distribution box outlet, the temperature of the incoming cable, the switch opening and closing position state, and the tripping condition.

[0119] The running flow, lift, shaft power and specific speed of the drainage pump equipment are provided with electronic tags, and the data information relationship among them is monitored in real time during operation, so that the running state of the pump is known in real time whether it is in normal state or abnormal condition;

[0120] The master and slave radio frequency modules (RFID readers) are arranged at intervals between the tunnel section roof, one master SPI and one slave SPI, the RFID system double-channel data communication is realized, and the active electronic tag data information of the pump house and power distribution room within the antenna radiation range is identified.

[0121] The received electronic tag information is transmitted wirelessly to the ZigBee terminal node located in the tunnel management center, and the control command transmitted from the ZigBee terminal node can also be received;

[0122] The ZigBee terminal node sends the active electronic tag data information identified by the master and slave radio frequency modules to the ZigBee coordinator node through a wireless way, and the ZigBee terminal node controls the master and slave radio frequency modules according to the control command transmitted from the coordinator, so as to realize the corresponding processing of the terminal state information.

[0123] The ZigBee coordinator node is responsible for transmitting the active electronic tag data transmitted from the ZigBee terminal node to the PC host computer through the local area network to realize data communication, and transmitting the control command received from the host computer to the ZigBee terminal node.

[0124] The PC host computer application software supports Python, Java, C++ and other languages for development, and develops digital twin and other software display interfaces, and the host computer application software realizes processing, analysis and storage of the active electronic tag ID information in the power distribution room and pump house, which is convenient for calling and querying in the later period.

[0125] The PC host computer application software takes the change rate of the processed monitoring parameters in unit time as the judgment basis of the running state of the tunnel electromechanical equipment, when the voltage and current change rate of the power distribution room monitored is large or the switch action is abnormal, or the flow, lift and shaft power of the pump running state are judged, the system realizes real-time monitoring and display of the working state of the equipment, when the equipment is abnormal, the system records and saves the fault alarm information, the state is transmitted to the related configuration page of the host computer, the corresponding device icon on the application software interface is highlighted, and the corresponding early warning level information is displayed;

[0126] The relationship among the pump lift, flow and shaft power in the pump house can be taken as an example to divide the device state early warning level information, and the change rate calculation formula of the pump is: and The preset rule is:

[0127] When and or and the values differ by 5-10%, the early warning level is primary;

[0128] When and or and the values differ by 11-25%, the early warning level is intermediate;

[0129] When and or and the values differ by 26-40%, the early warning level is special;

[0130] Wherein, H1 and H2 represent the head between two different periods, Q3 and Q4 represent the flow between two different periods, N1 and N2 represent the shaft power between two different periods; combined with the water level model early warning level and the device abnormal condition level information, the long distance tunnel flood early warning comprehensive risk level and the emergency plan are matched as shown in Table 1:

[0131] Table 1 Risk level discrimination rule

[0132] Overall risk rating Low water level model alert Medium water level model alert High water level model alert Low equipment abnormality condition Level 1 Level 1 Level 2 Medium equipment abnormality condition Level 1 Level 2 Level 3 High equipment abnormality condition Level 3 Level 3 Level 3

[0133] Specifically: when the voltage or current of one outgoing circuit of the distribution box appears abnormal and the early warning level of the water pump running state is primary, and when the model early warning level is primary or intermediate, the risk level is level one;

[0134] When the voltage or current of one outgoing circuit of the distribution box appears abnormal and the early warning level of the water pump running state is primary, and when the model early warning level is high, the risk level is level two;

[0135] When the voltage or current of two outgoing circuits of the distribution box appears abnormal and the early warning level of the water pump running state is intermediate, and when the model early warning level is primary, the risk level is level one;

[0136] When the voltage or current of two outgoing circuits of the distribution box appears abnormal and the early warning level of the water pump running state is intermediate, and when the model early warning level is intermediate, the risk level is level two;

[0137] When the voltage or current of two outgoing circuits of the distribution box appears abnormal and the early warning level of the water pump running state is intermediate, and when the model early warning level is high, the risk level is level three;

[0138] When the voltage or current of three or more outlet circuits of the distribution box is abnormal, the early warning level of the water pump running state is high, and the model early warning level is primary, intermediate or high, the risk level is level three.

[0139] Emergency warning and disposal: according to statistical data analysis, different plans are made according to different risk levels: primary, the drainage capacity of the pump station is higher than the water inflow rate, the tunnel water accumulation situation is displayed in real time on the gantry display board at the tunnel entrance, no vehicle is restricted to enter, and only the vehicle is prompted to drive carefully; secondary, vehicles are prohibited from entering in time, and the electronic barrier or gate at the tunnel entrance can be linked to intercept vehicles; when the model or calculation shows that the tunnel will be flooded in a short time, vehicles are prohibited from entering in time, and the signal lamp system of the traffic police is linked, the signal lamp at the previous intersection leading to the tunnel direction is uniformly displayed as red, and all vehicles leading to the tunnel direction are diverted.

[0140] Although the embodiments of the present application have been disclosed as above, it is not limited to the application listed in the specification and the embodiments, and it can be fully applied to various fields suitable for the present application, and other modifications can be easily realized by those skilled in the art, and therefore the present application is not limited to specific details and the figures shown and described herein, without departing from the general concept defined by the claims and the equivalent scope.

Claims

1. A tunnel flood early warning system based on three-dimensional dynamic simulation of fluid, characterized in that, Comprising: A data processing module for storing an inlet water rate model, where the inlet water rate model is as shown in Formula 1 and Formula 2: When RZ < RZ0, V 进 = V0 + α × RZ + V3 + V4 - V5; Equation 1 When RZ≥RZ0, V 进 =V0+α×RZ+β×RZ+V3+V4-V5; Formula 2 where, RZ is the rainfall intensity, α is the internal inflow rate parameter, β is the external inflow rate parameter, V0 is the average fixed leakage rate of the tunnel, RZ0 is the rainfall intensity threshold, V3 is the inlet water rate for fire fighting water, V4 is the abnormal inlet water rate, V5 is the tunnel drainage rate, and among them, α, β, V0, and RZ0 are obtained based on the statistical analysis of the tunnel's historical inlet water data and historical drainage data; A model module for storing a set of slice models for the simulation of the tunnel water level rise. Each slice model uses water as the fluid and the water level depth as the identifier, showing the tunnel water accumulation state and the corresponding key factor parameter information. Each slice model has a unique configuration number, where the water level depth is calculated from the water inflow volume and the tunnel volume; The prediction module is used to obtain the rainfall intensity RZ, fire water inflow rate, abnormal inflow rate, and tunnel drainage rate for a future period of time, and calculates the inflow rate V for the future period of time based on the rainfall intensity RZ and the inflow rate model. 进 Based on the inflow rate, the inflow volume and tunnel water level depth for a future period of time are calculated. The slice model and key factor parameter information corresponding to the configuration number that corresponds one-to-one with the water level depth are called to form a predicted water level rise simulation slice model. A display module for taking time as the x-axis, outputting the tunnel slice models arranged in chronological order along the time axis, and simultaneously displaying the corresponding key factor parameter information to form a tunnel three-dimensional water level simulation video; An emergency handling module for statistically analyzing the tunnel flooding time and the estimated time to complete drainage, as well as for presetting risk level discrimination rules and emergency plans, and outputting an emergency plan based on the discrimination result of the risk level discrimination rules.

2. The tunnel flood early warning system based on three-dimensional dynamic simulation of fluid as described in claim 1, characterized in that, Historical tunnel water inflow data includes tunnel water inflow Q during non-rainy periods. 进 The tunnel inflow is the tunnel's inherent leakage Q0, and the tunnel's historical drainage data includes the tunnel drainage Q during non-rainfall periods. 排 The data processing module obtains the value of parameter V0 based on statistical analysis and fitting of formulas 1, 3-5, where t_discharge is the total drainage time. Q 进 =Q 排 Official 3 Q 进 =Q0 Formula 4 V 进 =Q 进 / t 排 Formula 5.

3. The tunnel flood early warning system based on three-dimensional dynamic simulation of fluid as described in claim 2, characterized in that, Historical water ingress data for the tunnel includes rainfall intensity (RZ), rainfall duration, and water ingress volume (Q) during the rainy season. 进 The tunnel water inflow consists of inherent tunnel leakage Q0, fixed rainwater inflow Q1, and external rainwater inflow Q2. Historical tunnel drainage data includes tunnel drainage during rainfall periods Q. 排 ; The data processing module is used to statistically analyze, based on Formula 1, the rainfall intensity corresponding to the increasing slope of the inlet water rate, that is, to obtain the value of the parameter RZ0; Selecting the tunnel historical inlet water data with rainfall intensity RZ < RZ0, the data processing module statistically analyzes and fits to obtain the value of the parameter α based on Formula 1; Selecting the tunnel historical inlet water data with rainfall intensity RZ > RZ0, the data processing module statistically analyzes and fits to obtain the value of the parameter β based on Formula 2.

4. The tunnel flood early warning system based on three-dimensional dynamic simulation of fluid as described in claim 3, characterized in that, It further includes an end acquisition device for collecting the tunnel historical inlet water data and historical drainage data. The end acquisition device includes: A rain gauge for real-time collecting the rainfall amount and rainfall time, calculating and outputting the average value of the real-time rainfall intensity RZ, and storing it to obtain the historical rainfall intensity data RZ; A fire fighting pipeline flowmeter for detecting the flow rate of the fire fighting water pipeline. The data processing module calculates the inlet water rate V3 for fire fighting water based on the flow rate of the fire fighting water pipeline; A level gauge is used to detect the increase in liquid level and the time it takes for the liquid level to rise. The data processing module calculates the liquid level rise rate V based on the increase in liquid level and the time it takes for the liquid level to rise. 升 And the abnormal inflow rate V4 is calculated using Formula 6; V4=V 升 ×S Formula 6 where, S is the cross-sectional area of the water gauge in the pump house; Drainage pipe flow meters and drainage pump flow meters are used to collect drainage volume and calculate the total flow of each pump. The drainage volume and the total flow of each pump are used to calculate the actual drainage rate V of the pump. 泵 The data processing module calculates the tunnel drainage rate V5 using Formula 7. V5 = n × V 泵 Official 7 Where n is the actual number of pumps in operation, V 泵 This represents the actual drainage rate of the water pump.

5. The tunnel flood early warning system based on three-dimensional dynamic simulation of fluid as described in claim 1, characterized in that, It further includes a device operation status monitoring device, which includes: Multiple active electronic tags are arranged on the water pumps and distribution boxes. The active electronic tags are used to monitor and save in real time the voltage and current parameter values of the outgoing line of the distribution box, the temperature of the incoming cable, and at the same time monitor the switch on-off position status and tripping situation, and are used to monitor in real time the operating flow rate, head, shaft power, and specific speed of the water pump equipment; Multiple pairs of master radio frequency modules and slave radio frequency modules are arranged at intervals on the tunnel top. The multiple pairs of master and slave radio frequency modules are used to identify the data information of the active electronic tags in the pump house and distribution room within the antenna radiation range, and to implement two-channel data communication of the RFID system; ZigBee terminal nodes connect wirelessly to the master radio frequency module and the slave radio frequency module. ZigBee terminal nodes are used to receive data information from active electronic tags transmitted by the master radio frequency module and the slave radio frequency module, and also to send control commands back to the master radio frequency module and the slave radio frequency module. The ZigBee coordinator node is wirelessly connected to the ZigBee end nodes. The ZigBee coordinator node is used to receive data information sent by the ZigBee end nodes and also to send control commands back to the ZigBee end nodes. The PC host computer is connected to the ZigBee coordinator node via a local area network. The PC host computer is used to receive data information sent by the ZigBee coordinator node and determine the operating status of the power distribution box and water pump according to preset rules based on the data information. It is also used to send control commands back to the ZigBee coordinator node.

6. The tunnel flood early warning system based on three-dimensional dynamic simulation of fluid as described in claim 5, characterized in that, The preset rules include: When the voltage and current fluctuation rate of the distribution box outgoing circuit is large or the switch operation is abnormal, the flow rate, head, and shaft power of the water pump during operation should be assessed, specifically as follows: when and or and If the values ​​differ by 5-10%, the warning level is primary. when and or and If the values ​​differ by 11-25%, the warning level is medium. when and or and If the values ​​differ by 26% to 40%, the warning level is the highest level. Where H1 and H2 represent the head between two different time periods, Q3 and Q4 represent the flow rate between two different time periods, and N1 and N2 represent the shaft power between two different time periods.

7. The tunnel flood early warning system based on three-dimensional dynamic simulation of fluid as described in claim 5, characterized in that, It also includes model warning level discrimination rules, which include: When the tunnel water level is 5-10% higher than the preset standard water level, and V 进 When the value is less than 0, the model's early warning level is primary; When the tunnel water level is 11-25% higher than the preset standard water level, and V 进 When the value is close to 0, the model's warning level is medium. When the tunnel water level is 26-40% higher than the preset standard water level, and V 进 When the value is greater than 0, the model's early warning level is the highest level. The risk level determination rules include: When the warning level for the operation status of the distribution box and water pump is primary, and when the warning level of the model is primary or intermediate, the risk level is level one. When the warning level for the operation status of the distribution box and water pump is primary, and when the warning level for the model is advanced, the risk level is level two. When the warning level for the operation status of the distribution box and water pump is medium, and when the warning level for the model is primary, the risk level is level one. When the warning level for the operation status of the distribution box and water pump is medium, and when the warning level of the model is medium, the risk level is level two. When the warning level for the operation status of the distribution box and water pump is medium, and when the warning level of the model is high, the risk level is level three. When the warning level for the operation status of the distribution box and water pump is high, and when the warning level of the model is low, medium or high, the risk level is level three.

8. The tunnel flood early warning system based on three-dimensional dynamic simulation of fluid as described in claim 7, characterized in that, The emergency response plan includes: When the risk level is Level 1, the water accumulation situation inside the tunnel will be displayed in real time on the gantry display board at the tunnel entrance. When the risk level is level two, vehicles are prohibited from entering; When the risk level is level three, vehicles are prohibited from entering, and the traffic police signal light system is activated. The signal light at the intersection before the tunnel leading to the tunnel will be uniformly red, and all vehicles heading towards the tunnel will be diverted.

9. The tunnel flood early warning system based on three-dimensional dynamic simulation of fluid as described in claim 1, characterized in that, The method for establishing the tunnel slice model includes: Laser scanning was used to acquire three-dimensional point cloud data of the tunnel. Point cloud processing software was used to fit the three-dimensional point cloud data and export the three-dimensional model of the tunnel to the local machine. The 3D model of the tunnel is imported into 3D modeling software, and the 3D models of the facilities and equipment are assembled onto the 3D model of the tunnel to obtain a refined 3D model of the tunnel. The facilities include water-blocking ditches, water diversion ditches, rainwater and sewage pipes and pumping stations, and the equipment includes rain gauges, water supply and drainage equipment, traffic facilities and equipment and pipeline equipment. The detailed 3D model of the tunnel is imported into the fluid simulation software, the meshing parameters are set, the structured mesh is automatically generated, the fluid is set to water, and the boundary conditions and environmental condition parameters are set to obtain the structured mesh model of the tunnel. Key factor parameters are set, including water level depth. Each water level depth corresponds to the surface contour of the submerged simulated water body, the position coordinates of the surface contour of the submerged simulated water body, the volume of water that the tunnel can hold, the coordinates of the center point of the water accumulation, and the coordinates of the lowest point. Among them, the coordinates of the center point of the water accumulation are the geometric center of the contour. The simulation model simulates the water accumulation in a tunnel with uniform flow velocity and scans the structured mesh model of the tunnel layer by layer from low to high, automatically outputting the key factor parameter information corresponding to each water level depth. A slice model for simulating water level rise is established using key parameter factor information. Water level depth is used as an identifier, configuration number is set, and the slice model is exported to obtain a slice model set.

10. The early warning method for a tunnel flood early warning system based on three-dimensional dynamic simulation of fluid as described in any one of claims 1 to 9, characterized in that, Includes the following steps: S1. Establish and store the inflow rate model, as shown in Formula 1 and Formula 2: When RZ < RZ0, V 进 = V0 + α × RZ + V3 + V4 - V5; Equation 1 When RZ≥RZ0, V 进 =V0+α×RZ+β×RZ+V3+V4-V5; Formula 2 Where RZ is the rainfall intensity, α is the internal inflow rate parameter, β is the external inflow rate parameter, V0 is the average fixed leakage rate of the tunnel, RZ0 is the rainfall intensity threshold, V3 is the fire water inflow rate, V4 is the abnormal inflow rate, and V5 is the tunnel drainage rate. α, β, V0, and RZ0 are obtained based on statistical analysis of historical tunnel inflow and drainage data. S2. Establish and store a set of slice models for the simulation of tunnel water level rise. Each slice model uses water as the fluid and water level depth as the identifier to display the tunnel water accumulation status and corresponding key factor parameter information. Each slice model has a unique configuration number. The water level depth is calculated from the inflow and tunnel volume. S3. Obtain the rainfall intensity RZ, fire water inflow rate, abnormal inflow rate, and tunnel drainage rate for a future period of time, and calculate the inflow rate V for the future period of time based on the rainfall intensity RZ and the inflow rate model. 进 Based on the inflow rate, the inflow volume and tunnel water level depth for a future period of time are calculated. The slice model and key factor parameter information corresponding to the configuration number that corresponds one-to-one with the water level depth are called to form a predicted water level rise simulation slice model. S4. Using time as the x-axis, output the tunnel slice model arranged in time order, and simultaneously display the corresponding key factor parameter information to form a three-dimensional water level simulation video of the tunnel. S5. Statistically analyze the tunnel flooding time and the estimated drainage completion time, preset risk level judgment rules and emergency plans, and output the emergency plan based on the judgment results of the risk level judgment rules.

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