CN115406812A - Monitoring experiment system for humidity field inside infrastructure under condition of simulating complex rain flood - Google Patents

Abstract

The invention discloses an experimental system for monitoring the internal humidity field of infrastructure under complex rain and flood conditions, including a complex rain and flood simulation system and a complex rain and flood condition infrastructure internal humidity field monitoring system; the complex rain and flood simulation system includes a water tank, a horse The bottom of the Martens bottle is connected with the bottom of the water tank through a connecting pipe. The upper part of the water tank is provided with an opening, and a water pump is installed in it. The water pump is connected to the rainwater pipe through the water delivery pipe. Several raindrop nozzles are arranged at the bottom of the pipe. The invention solves the disadvantage that the traditional rainwater simulation system cannot accurately simulate the intensity of rainwater. At the same time, combined with the real-time data fed back by the buried humidity sensors of different layers, the whole process of the roadbed can be realized. Humidity field change monitoring, using this model can realize the loading test of different intensities of rainwater, which has good repeatability.

Description

A monitoring experiment of the internal humidity field of infrastructure under simulated complex rain and flood conditions system

technical field

The invention relates to the field of humidity monitoring experiment systems, in particular to an experiment system for monitoring humidity fields inside infrastructure under complex rain and flood conditions.

Background technique

Flood disasters caused by extreme weather such as typhoons and heavy rainfall are relatively common natural disasters in road and urban engineering. Precipitation gathers in low-lying areas, which will cause excessive water accumulation in low-lying areas and submerge urban facilities and roads; in order to reasonably establish road elevations To prevent roads from being flooded during heavy rainfall, it is necessary to perform simulation calculations of extreme storm flood levels; for example, the publication number is CN104198353A, and the patent name is a Chinese patent for the approximate test simulation device and method for rain and flood runoff on permeable road surfaces. The approximate test simulation problem of rain and flood runoff on the road surface, but the complex rain and flood conditions that cannot be simulated, especially the internal humidity change law of the infrastructure under the real rain and flood conditions, and the sensor placement position has not been optimized, so the measured non-infrastructure internal humidity changes the largest the rules of the place.

Contents of the invention

In order to solve the above technical problems, the technical solution provided by the present invention is: an experimental system for monitoring the internal humidity field of infrastructure under complex rain and flood conditions, including a complex rain and flood simulation system and a complex rain and flood condition internal humidity field monitoring system for infrastructure ;

The complex rain and flood simulation system includes a water tank, a Martens jar and a rain and flood support. The bottom of the Martens jar communicates with the bottom of the water tank through a connecting pipe. Connect the rain drop pipe, the rain drop pipe is set on the rain flood support, the bottom of the rain drop pipe is provided with several rain drop nozzles, and the flow adjustment knob is set on the rain drop nozzle; the complex rain and flood condition infrastructure The humidity field monitoring system is set in the rainwater support and located at the lower part of the raindrop nozzle;

The internal humidity field monitoring system of the complex rain and flood conditions infrastructure includes a simulation box with an upper opening, and the asphalt concrete layer, the base stone layer and the foundation soil layer are sequentially arranged in the simulation box from top to bottom. Multiple groups of humidity sensors are set, and the humidity sensors communicate with the computer through a signal transmitter.

Preferably, its experimental method comprises the following steps:

(1) Find the hourly stormwater intensity data that needs to be simulated by querying local meteorological data, select the hourly average rainstorm intensity, and then establish an optimization model, using the sum of squared residuals as the objective function, and pump The maximum flow rate is a constraint condition, and the rainwater flow size and opening and closing hours of each downpipe are optimized. Specifically, the optimization is carried out according to the following formula:

(1.1) Let the actual rain and flood discharge A=[a ₁ ,a ₂ ,a ₃ ,…a ₂₄ ] ^T

In the above formula, a _i represents the actual storm flow in the i-th hour, in mm/h, 1≤i≤24, and i is an integer;

(1.2) The limited flow of 5 water pumps is B=[b ₁ ,b ₂ ,b ₃ ,b ₄ ,b ₅ ] ^T

In the above formula, b _i represents the maximum flow rate of the i-th water pump, the unit is L/h, 1≤i≤5, and i is an integer;

(1.3) The simulated reasonable flow of 5 pumps is X＝[x ₁ ,x ₂ ,x ₃ ,x ₄ ,x ₅ ] ^T

In the formula, x _i represents the simulated flow rate of the i-th water pump, the unit is L/h, 1≤i≤5, and i is an integer;

(1.4) The opening and closing time of each water pump is

In the above formula, y _{i, j} represents the opening and closing state of the jth water pump in the i-th hour, where y _{i, j} = {0 or 1};

1≤i≤24, 1≤j≤5, and i, j are integers;

(1.5) The simulated flow is multiplied by matrix Y and X

Then the objective function is min=(YX-A) ^T (YX-A)

The constraints are:

(1.6) According to the objective function and constraint conditions, the simulated reasonable flow rate of the five pumps and the opening and closing time of each pump are calculated, so that the simulated rainfall is as close as possible to the actual rainfall situation;

(2) Calibrate by separately measuring the simulated flow rate of constant stormwater to the downpipe, specifically including the following steps:

(2.1) Place the corresponding water pump in a bucket filled with water, and the bucket is placed on the electronic scale to measure the change of water volume;

(2.2) Adjust the water volume through the knob on the nozzle, continuously correct the flow, and calculate through the weight change on the electronic scale until the rainwater flow within the measurement time is within the error range of the set rainwater pipe constant value, the error range 1.5%; in addition, the opening and closing time of each downpipe is determined by the intelligent switch;

(3) Input the information about the simulated infrastructure materials and the time-varying data of stormwater intensity into the finite element analysis software of the computer, and use the computer to simulate the change of the humidity field inside the infrastructure under the condition of stormwater; according to the law of humidity change simulated by the computer, Select the location of the area that is most sensitive to changes in rainfall as the preferred location to place the humidity sensor inside the infrastructure.

The advantage of the present invention compared with prior art is:

The present invention establishes a new optimization model by simulating the rain and flood system, uses computer programs to automatically fit, and only uses five water pumps to realize the real-time physical twin simulation of any real rain and flood conditions, and solves the problem that the traditional rain and flood simulation system cannot accurately simulate The shortcomings of the intensity of rain and flood, combined with the real-time data fed back by the buried humidity sensors of different layers, can realize the monitoring of the change of the humidity field in the whole process of the road subgrade, and use this model to realize the loading test of different intensities of rain and flood, which has a good Repeatability; it has good practical significance for predicting road surface water and waterlogging disasters caused by rain and floods, and can realize early warning of road rain and floods, reducing casualties and property losses caused by them. Research on geotechnical engineering and environmental engineering other than engineering also has certain reference significance.

Description of drawings

Fig. 1 is a schematic structural diagram of an embodiment of the present invention.

Fig. 2 is a diagram of placement positions of road model sensors in an embodiment of the present invention.

Fig. 3 is a top view of the installation position of the raindrop pipe in the embodiment of the present invention.

Fig. 4 is a map of actual measured and simulated rainfall intensity of the embodiment of the present invention.

Fig. 5 is a saturation area distribution diagram (2h) of an embodiment of the present invention.

Fig. 6 is a saturation area distribution diagram (17h) of an embodiment of the present invention.

Fig. 7 is a saturation area distribution diagram (23h) of an embodiment of the present invention.

Fig. 8 is a thermal diagram of saturation change according to an embodiment of the present invention.

Fig. 9 is a time-varying trend diagram of (partial) humidity inside the roadbed according to the embodiment of the present invention.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

In the description of the embodiments of the present invention, it should be noted that if the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", The orientation or positional relationship indicated by "outside" is based on the orientation or positional relationship shown in the drawings, or the orientation or positional relationship that is usually placed when the product of the invention is used, and is only for the convenience of describing the present invention and simplifying the description. It is not to indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, or operate in a particular orientation, and thus should not be construed as limiting the invention. In addition, the terms "first", "second", "third", etc. are only used for distinguishing descriptions, and should not be construed as indicating or implying relative importance.

In addition, the appearance of the terms "horizontal", "vertical", "overhanging" etc. does not mean that the parts are absolutely horizontal or overhanging, but may be slightly inclined. For example, "horizontal" only means that its direction is more horizontal than "vertical", and it does not mean that the structure must be completely horizontal, but can be slightly inclined.

In the description of the embodiments of the present invention, "multiple" means at least 2.

In the description of the embodiments of the present invention, it should also be noted that, unless otherwise specified and limited, the terms "setting", "installation", "connection" and "connection" should be interpreted in a broad sense, for example, It can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediary, and it can be the internal communication of two components. Those of ordinary skill in the art can understand the specific meanings of the above terms in the present invention according to specific situations.

Example:

An experimental system for monitoring the internal humidity field of infrastructure under simulating complex rain and flood conditions, including a complex rain and flood simulation system and a monitoring system for the internal humidity field of infrastructure under complex rain and flood conditions;

The complex storm flood simulation system includes a water tank 1, a Martens jar 2, and a storm flood support 3. The bottom of the Marlson jar 2 is connected to the bottom of the water tank 1 through a connecting pipe 4. An opening is set on the upper part of the water tank 1, and a water pump 5 is set inside it. The water pipe 6 is connected to the rain drop pipe 7, and the rain drop pipe 7 is arranged on the rainwater support 3, and several rain drop nozzles 8 are arranged at the bottom of the rain drop pipe 7, and a flow adjustment knob is arranged on the rain drop nozzle 8; the water pump 5 is a constant flow water pump, In the present embodiment, the quantity of water pump 5, water delivery pipe 6, and rain drop pipe 7 is 5 groups, and each water pump 5 is controlled by an intelligent switch respectively, and the intelligent switch and computer 9 carry out data communication; On the rainwater bracket 3, the raindrop nozzles 8 are installed at the lower part of the raindrop tube 7 at equal intervals;

The internal humidity field monitoring system of the infrastructure under complex rain and flood conditions is set in the rain and flood support 3 and located at the lower part of the rain drop nozzle 8; The asphalt concrete layer 11, the base stone layer 12 and the foundation soil layer 13 are arranged in sequence from top to bottom, and multiple groups of humidity sensors 14 are arranged in the foundation soil layer 13, and the humidity sensors 14 communicate with the computer 9 through the signal transmitter 15; the asphalt A soil layer gap is set between the concrete layer 11, the base stone layer 12 and the side wall of the simulation box body 10, and the soil layer gap is filled by the foundation soil layer 13; a road gradient gasket is set at the bottom of the simulation box body 10 away from the soil layer gap 15, so that the simulated box body 10 forms a 2% longitudinal gradient, and the bottom of the other side of the simulated box body 10 is provided with a drainage port 16, and a drainage control valve 17 is provided on the drain port 16.

When in use, (1) First, by querying local meteorological data, find the hourly stormwater intensity data that needs to be simulated, select the average rainstorm intensity accurate to each hour, and then establish an optimization model, aiming at the sum of squared residuals The function, with the maximum flow of the pump as the constraint condition, optimizes the size of the rainwater flow and the opening and closing hours of each downpipe. Specifically, optimize according to the following formula:

(1.1) Let the actual rain and flood discharge A=[a ₁ ,a ₂ ,a ₃ ,…a ₂₄ ] ^T

In the above formula, a _i represents the actual storm flow in the i-th hour, in mm/h, 1≤i≤24, and i is an integer;

(1.2) The limited flow of 5 water pumps is B=[b ₁ ,b ₂ ,b ₃ ,b ₄ ,b ₅ ] ^T

In the above formula, b _i represents the maximum flow rate of the i-th water pump, the unit is L/h, 1≤i≤5, and i is an integer;

(1.3) The simulated reasonable flow rate of 5 water pumps is X＝[x ₁ ,x ₂ ,x ₃ ,x ₄ ,x ₅ ] ^T

In the formula, x _i represents the simulated flow rate of the i-th water pump, the unit is L/h, 1≤i≤5, and i is an integer;

(1.4) The opening and closing time of each water pump is

In the above formula, y _{i, j} represents the opening and closing state of the jth water pump in the i-th hour, where y _{i, j} = {0 or 1};

1≤i≤24, 1≤j≤5, and i, j are integers;

(1.5) The simulated flow is multiplied by matrix Y and X

Then the objective function is min=(YX-A) ^T (YX-A)

The constraints are:

(1.6) According to the objective function and constraint conditions, the simulated reasonable flow rate of the five pumps and the opening and closing time of each pump are calculated, so that the simulated rainfall is as close as possible to the actual rainfall situation;

(2) Calibrate by separately measuring the simulated flow rate of constant stormwater to the downpipe, specifically including the following steps:

(2.1) Place the corresponding water pump in a bucket filled with water, and the bucket is placed on the electronic scale to measure the change of water volume;

(2.2) Adjust the water volume through the knob on the nozzle, continuously correct the flow, and calculate through the weight change on the electronic scale until the rainwater flow within the measurement time is within the error range of the set rainwater pipe constant value, the error range 1.5%; in addition, the opening and closing time of each downpipe is determined by the intelligent switch;

(3) The computer and its internal finite element analysis software constitute the road humidity field simulation system; first, the simulated infrastructure material information and the time-varying data of rain and flood intensity are input into the finite element analysis software, and the foundation under the condition of rain and flood is simulated by computer. For the change of the humidity field inside the facility, according to the humidity change law simulated by the computer, the location of the area most sensitive to rainfall changes is selected as the preferred location for installing the humidity sensor inside the infrastructure;

(4) Humidity sensors laid on different layers of the scaled subgrade simulation system form a data collection and analysis system. Humidity sensors transmit humidity signals to the computer, and the computer automatically summarizes the collected data.

In this embodiment, the entire device of the humidity field monitoring system inside the infrastructure under complex rain and flood conditions is placed in a cuboid beef tendon plastic box with a length, width and height of 75cm, 56cm and 50cm, respectively;

Taking the humidity monitoring of the road as an example, the model is divided into two parts: the road structure and the backfill soil: the road structure is paved from bottom to top with a foundation soil layer with a thickness of 15cm, a base stone layer with a thickness of 16cm, and asphalt concrete with a thickness of 5cm layer, whose left and right central axes coincide with the left and right central axes of the roadbed simulation system, and all the gaps between the base stone layer and the asphalt concrete layer and the plastic box are filled with foundation soil, representing backfill soil, and the asphalt concrete layer is 60cm in length, width and height. 30cm and 5cm asphalt concrete slabs.

According to the summary of a large number of documents, the following assumptions are made now: the humidity sensors are arranged at 5cm, 12cm and 29cm from the bottom of the plastic box, and the sensors on the bottom two floors are arranged in the same position, and a total of five sensors are arranged in two rows, and the middle row of sensors Arranged on the left and right central axes of the proportionally scaled subgrade simulation system, respectively 20cm, 38cm and 65cm away from the left boundary; the front row sensors are arranged directly below the front boundary of the base stone layer and the asphalt concrete layer, respectively 20cm, 38cm and 65cm away from the left boundary 20cm and 38cm; only one sensor is arranged on the top layer, which is located 10cm from the right side on the left and right central axes. The specific layout of the sensor can be found in the attached figure below. The overall road simulation system is set with a 2% longitudinal slope, which is used to simulate the road surface slope under real rain and flood conditions. There is a drainage outlet at the bottom right of the subgrade simulation system to control the simulated groundwater level inside the subgrade and internal drainage pipes.

1. Specific examples

Taking the torrential rain in Zhengzhou on July 20, 2021 as an example, reproduce the rainfall intensity of the rain, and take the road infrastructure as an example to detect the evolution law of the humidity inside the road under this rainfall. This example is mainly divided into the following four steps:

(1) Complex rain and flood simulation: Obtain the hourly average rainfall intensity by querying local meteorological data, and check the maximum pumping flow of five water pumps. As shown in Table 1 and Table 2, respectively, the hourly average rainfall intensity of the "7.20 Zhengzhou heavy rain" and the maximum pumping flow rate of the water pump used in this example. Input the hourly average rainfall intensity data and the maximum pumping flow rate of five water pumps into the designated area of the program.

Table 1 7.20 Zhengzhou average hourly rainfall

Table 2 Maximum pumping flow table of water pump

parameter water pump 1 water pump 2 water pump 3 water pump 4 water pump 5 Maximum flow(L/h) 200 200 200 200 200

Input the data in Tables 1 and 2 into the finite element analysis software, and the program performs automatic fitting to obtain the simulated flow rate and automatic opening and closing time of each pump. As shown in Tables 3 and 4, they are the simulated flow rate of each water pump and the automatic opening and closing time table of each water pump (where 1 is on state and 0 is off state).

Table 3 Water pump simulation pumping flow table

parameter water pump 1 water pump 2 water pump 3 water pump 4 water pump 5 Analog flow(L/h) 54.0 9.1 10.0 2.3 4.9

Table 4 Water pump opening and closing schedule

According to the fitting effect of the above pump flow rate and its opening and closing time calculations and the real rainfall data, the fitting results are as follows, as shown in Figure 4, it can be seen that the fitting effect is good, which can meet the accuracy requirements of the rain and flood simulation.

(2) Road humidity field simulation system.

The finite element analysis software Geostudio is used to analyze the seepage law inside the road, and the saturation change is analyzed by giving the road rainfall boundary conditions, and the installation position of the sensor is selected according to the change law. Figures 5-7 are some representative saturation distribution maps.

Among them, the soil part in the subgrade model profile is divided into equal intervals according to 5cm*5cm, and the saturation change data of each area within 24 hours is derived, and a heat map is drawn according to its saturation, as shown in Figure 5. The darker the color in the picture, the greater the saturation. According to the results shown in the saturation heat map, select the installation location of the humidity sensor.

(3) Humidity field monitoring system inside infrastructure under complex rain and flood conditions. The experimental system for monitoring the internal humidity field of the infrastructure under the simulated complex rain and flood conditions is shown in Figure 1.

Among them, the road model is made according to the requirements, and it is placed in the box. The asphalt concrete layer, the base stone layer, and the foundation soil layer are respectively laid in the box from top to bottom, and the humidity sensors are arranged at the same time. The placement of eleven humidity sensors Except one location is located in the soil on the side of the base stone layer, the rest are located in the foundation soil layer. The placement of sensors is shown in Figure 2. After the installation is completed, the change of the moisture field inside the subgrade soil can be monitored in real time, so as to make corresponding judgments and make predictions and early warnings in advance.

The five downpipes are respectively fixed on the rainwater support, and their placement positions are shown in Figure 3, and five adjustable nozzles are installed equidistantly on each downpipe. According to the obtained constant flow rate of each water pump, as shown in Table 3, the simulated rainfall flow rate of each pipeline can be adjusted by adjusting the knob on the raindrop tube to control the flow rate of the nozzle. Accuracy requirements. According to Table 4, the automatic opening and closing time of each water pump is set through the intelligent switch, and the optimized rainfall process is simulated to realize the loading of complex rain and flood conditions. Once the device is installed, the rain can begin.

(4) Data collection and analysis system. After rainwater is applied to the roadbed model, the humidity sensor buried in the roadbed simulation system will transmit the measured soil moisture value inside the road to the computer, and the computer will sort it out. Since there are many sensors, only some sensors are shown below as an example. Its changing trend is shown in Figure 9. Sensors 1 and 2 are lower-layer sensors, and sensors 3, 4, 5, and 6 are upper-layer sensors.

The present invention and its implementations have been described above, and this description is not limiting. What is shown in the drawings is only one of the implementations of the present invention, and the actual structure is not limited thereto. All in all, if a person of ordinary skill in the art is inspired by it, and without departing from the inventive concept of the present invention, without creatively designing a structure and an embodiment similar to the technical solution, it shall fall within the scope of protection of the present invention.

Claims (5)

1. An experimental system for monitoring the internal humidity field of infrastructure under simulated complex rain and flood conditions, characterized in that it comprises a complex rain and flood simulation system and a complex rain and flood condition infrastructure internal humidity field monitoring system; The complex rain and flood simulation system includes a water tank, a Martens jar and a rain and flood support. The bottom of the Martens jar communicates with the bottom of the water tank through a connecting pipe. Connect the rain drop pipe, the rain drop pipe is set on the rain flood support, the bottom of the rain drop pipe is provided with several rain drop nozzles, and the flow adjustment knob is set on the rain drop nozzle; the complex rain and flood condition infrastructure The humidity field monitoring system is set in the rainwater support and located at the lower part of the raindrop nozzle; The internal humidity field monitoring system of the complex rain and flood conditions infrastructure includes a simulation box with an upper opening, and the asphalt concrete layer, the base stone layer and the foundation soil layer are sequentially arranged in the simulation box from top to bottom. Multiple groups of humidity sensors are set, and the humidity sensors communicate with the computer through a signal transmitter. 2. a kind of infrastructure interior humidity field monitoring experiment system under the condition of simulating complex rain and flood according to claim 1, is characterized in that, described water pump is a constant flow water pump, and described water pump, water delivery pipe, rain fall pipe The number is multiple groups, each water pump is controlled by an intelligent switch, and the intelligent switch communicates with the computer; the rainwater pipes are installed on the rainwater support at equal intervals, and the rainwater nozzles are installed at equal intervals on the rainwater Tube lower. 3. a kind of infrastructure interior humidity field monitoring experiment system under the condition of simulating complex storm and flood according to claim 1, is characterized in that, soil is set between described bituminous concrete layer, base stone material layer and simulation box side wall. layer voids, and the soil layer voids are filled by the foundation soil layer. 4. a kind of infrastructure interior humidity field monitoring experiment system under the condition of simulating complex rain and flood according to claim 1, is characterized in that, the side bottom of described simulation box away from the soil layer gap is provided with road gradient gasket, A 2% longitudinal gradient is formed in the simulated box body, and a drainage port is set at the bottom of the other side of the simulated box body, and a drainage control valve is set on the drain port. 5. a kind of infrastructure interior humidity field monitoring experimental system under the simulated complex rain and flood condition according to claim 1 is characterized in that, its experimental method comprises the following steps: (1) Find the hourly stormwater intensity data to be simulated by querying the local meteorological data, select the hourly average stormwater intensity, and then establish an optimization model, with the sum of the squared residuals as the objective function and the pump’s The maximum flow rate is the constraint condition, and the rainwater flow and opening and closing hours of each downpipe are optimized. Specifically, the optimization is carried out according to the following formula: (1.1) Let the actual rain and flood discharge A=[a ₁ ,a ₂ ,a ₃ ,…a ₂₄ ] ^T In the above formula, a _i represents the actual storm discharge in the i-th hour, in mm/h, 1≤i≤24, and i is an integer; (1.2) The limited flow of 5 water pumps is B=[b ₁ ,b ₂ ,b ₃ ,b ₄ ,b ₅ ] ^T In the above formula, b _i represents the maximum flow rate of the i-th water pump, the unit is L/h, 1≤i≤5, and i is an integer; (1.3) The simulated reasonable flow rate of 5 water pumps is X＝[x ₁ ,x ₂ ,x ₃ ,x ₄ ,x ₅ ] ^T In the formula, x _i represents the simulated flow rate of the i-th water pump, the unit is L/h, 1≤i≤5, and i is an integer; (1.4) The opening and closing time of each water pump is

In the above formula, y _{i, j} represents the opening and closing state of the jth water pump in the i-th hour, where y _{i, j} = {0 or 1}; 1≤i≤24, 1≤j≤5, and i, j are integers; (1.5) The simulated flow is multiplied by matrix Y and X

Then the objective function is min=(YX-A) ^T (YX-A) The constraints are:

(1.6) According to the objective function and constraint conditions, the simulated reasonable flow rate of the five pumps and the opening and closing time of each pump are calculated, so that the simulated rainfall is as close as possible to the actual rainfall situation; (2) Calibrate by separately measuring the simulated flow rate of constant stormwater to the downpipe, specifically including the following steps: (2.1) Place the corresponding water pump in a bucket filled with water, and the bucket is placed on the electronic scale to measure the change of water volume; (2.2) Adjust the water volume through the knob on the nozzle, continuously correct the flow, and calculate through the weight change on the electronic scale until the rainwater flow within the measurement time is within the error range of the set rainwater pipe constant value, the error range 1.5%; in addition, the opening and closing time of each downpipe is determined by the intelligent switch; (3) Input the information about the simulated infrastructure materials and the time-varying data of stormwater intensity into the finite element analysis software of the computer, and use the computer to simulate the change of the humidity field inside the infrastructure under the condition of stormwater; according to the law of humidity change simulated by the computer, Select the location of the area that is most sensitive to changes in rainfall as the preferred location to place the humidity sensor inside the infrastructure.

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