Yellow mud water monitoring and early warning device and method based on variable water level conditions

Abstract

This invention discloses a monitoring and early warning device for muddy water under varying water level conditions. It includes a horizontal aluminum profile and a vertical aluminum profile installed on the upper part of a pipeline. A slide rail is provided along the length of the vertical aluminum profile, and a trolley is connected to the slide rail. A vertical optical axis main rod is connected to the trolley via a cross clamp. A turbidity sensor is fixedly connected to the end of the optical axis main rod. A solar panel is installed at the top of the vertical aluminum profile, and an ultrasonic level gauge is installed at the end. The device also includes a camera for collecting water color information. This invention also discloses a monitoring and early warning method. First, the measuring point is determined. The turbidity sensor measures turbidity data, and the camera collects the color of the muddy water. The average mud concentration in the water is calculated based on the turbidity data. The early warning level of the muddy water is determined based on the average mud concentration, the muddy water level conditions, and the water color. Combining the early warning level, the trend of mud concentration and muddy water level changes is predicted using the trend testing principle, thereby determining the evolution trend of the early warning level.

Description

Technical Field

[0001] The present invention belongs to the technical field of urban yellow mud water monitoring and early warning methods, relates to a yellow mud water monitoring and early warning device based on variable water level conditions, and also relates to a yellow mud water monitoring and early warning method based on variable water level conditions. Background Art

[0002] With the multi-frequency changes in natural climate and the continuous advancement of social processes, the management and monitoring of various water bodies (such as rivers, lakes, and reservoirs) have become increasingly important. Especially in flood seasons or after heavy rains. It contains a large amount of suspended sediment, which will affect the water quality and the ecological environment of the water body, causing temporal and spatial variations in the water-soil structure and the water environment. The change in the water level of the yellow mud water in the urban pipe network is directly related to the urban water ecological environment and the health and safety of citizens' lives. At present, there is a lack of a yellow mud water monitoring and early warning device based on variable water level conditions, which can continuously and accurately monitor the sediment concentration in the yellow mud water at different water levels, and send out multi-level early warning signals based on scientific analysis in real time, providing a scientific basis for the source analysis and dynamic monitoring of urban yellow mud water. Summary of the invention

[0003] The purpose of the present invention is to provide a yellow mud water monitoring and early warning device based on variable water level conditions, so as to solve the problem that it is difficult to realize real-time monitoring and timely early warning of yellow mud water during water level changes.

[0004] The present invention also aims to provide a yellow mud water monitoring and early warning method based on variable water level conditions.

[0005] The first technical solution adopted by the present invention is a yellow mud water monitoring and early warning device under variable water level conditions, comprising a horizontal aluminum profile and a control box fixed to the upper wall of a pipeline, the horizontal aluminum profile is connected to a longitudinal aluminum profile through an angle code, a slide rail is provided along the length direction of the longitudinal aluminum profile, a pulley is connected to the slide rail, and the pulley is connected to a reduction stepping motor; the pulley is connected to a vertical optical axis main rod through a cross clamp, and a turbidity sensor is fixedly connected to the end of the optical axis main rod;

[0006] A solar panel is arranged at the top of the longitudinal aluminum profile, and an ultrasonic level meter is arranged at the end. A servo is also connected to the longitudinal aluminum profile, and the servo is connected to the camera to control the rotation angle of the camera. The solar panel provides power for the control box, camera and servo.

[0007] The present invention is also characterized in that:

[0008] The solar panel is connected to the longitudinal aluminum profile through a solar panel connector, and the solar panel connector and a control box are located on the back of the longitudinal aluminum profile.

[0009] The deceleration stepper motor is fixedly connected to the motor fixing seat, the pulley is fixed to the slider, and the slider is nested and connected to the slide rail.

[0010] The second technical solution adopted by the present invention is a yellow mud water monitoring and early warning method based on variable water level conditions, and the specific operation steps are as follows:

[0011] Step 1: Install the yellow mud water monitoring and early warning device on the upper part of the pipeline so that the turbidity sensor is located in the centerline direction of the pipeline;

[0012] Step 2: Use an ultrasonic sensor to measure the height from the top of the pipe to the water surface and determine the measurement point;

[0013] Step 3: Determine the position of each measuring point according to the calculated measuring points, move the turbidity sensor to each point, and measure each point to obtain turbidity data. At the same time, the camera is aimed at the direction of the turbidity sensor under the action of the steering gear to collect the color state of the yellow mud water, and the yellow mud concentration of the water body is calculated according to the measured turbidity data. , average yellow mud concentration ;

[0014] Step 4: Determine the warning level of yellow mud water according to the average yellow mud concentration, yellow mud water level conditions and water color information;

[0015] Step 5: Combined with the warning level determined in step 4, the trend test principle is used to predict the change trend of yellow mud concentration and yellow mud water level, and then the evolution trend of the warning level is determined to achieve the effect of timely warning of yellow mud water.

[0016] The present invention is also characterized in that:

[0017] Step 2: The method for determining the measurement point quantity is as follows:

[0018] Assume the pipe diameter is , the ultrasonic level meter measures the height from the top of the pipe to the water surface as ,in is the height from the top of the pipe to the water surface, then the water level is , the diameter of the turbidity sensor is , water level Turbidity sensor diameter The ratio is , for:

[0019] (1)

[0020] in, 1m;

[0021] According to different ratios , determine the measurement point quantity under different water levels, and use rounding to the nearest integer in the calculation process. for:

[0022] (2)

[0023] Step 3 is as follows:

[0024] Step 3.1: Assume that the height of the turbidity sensor’s sphere center from the bottom of the pipe is ; The position of each measuring point is calculated according to formula (3), and the height of turbidity measurement from the bottom of the tube is for:

[0025] (3)

[0026] in, is the position ordinal number of the measuring point;

[0027] Step 3.2: Based on the principle of optical signal, the turbidity sensor measures Moment Water level height The concentration of yellow mud in the water at each measuring point is:

[0028] (4)

[0029] A certain water level situation occurs The average yellow mud concentration at all points was measured to be

[0030] (5)

[0031] in, is the correction factor of the turbidity sensor, 0 1; is the incident light intensity; For Under water level conditions The scattered light intensity at the collection point, in cd, and the value is generally greater than 0.

[0032] In step 3, adjust the camera position through the servo to observe the color of the water during measurement. Water color value at time for:

[0033] (6)

[0034] Step 4 is as follows:

[0035] The yellow mud water warning level is determined based on the water color, the yellow mud water level in the pipeline and the average yellow mud concentration. :

[0036] When 1000≤ ≤2500, = , 0.75< ≤1.00; =1, indicating level 1 warning;

[0037] When 500≤ <1000, = , 0.50< ≤0.75; =2, indicating level 2 warning;

[0038] When 200≤ <500, = , 0.25< ≤0.50; =3, indicating level 3 warning;

[0039] When 100≤ <200, = , 0< ≤0.25; =4, indicating level 4 warning;

[0040] In the formula, is the average yellow mud concentration, in mg / L; is the ratio of the muddy water level to the pipe diameter; is the algebra of the color state of water, Take 0,1,2,3,4.

[0041] Step 5 is as follows:

[0042] According to the multiple groups of yellow mud concentration and yellow mud water level data obtained in step 4, the change trend of yellow mud concentration and yellow mud water level is predicted. The m groups of yellow mud concentration data and the n groups of yellow mud water level data that have been measured are used to predict the change trend of yellow mud concentration and yellow mud water level using the trend test principle, and then the evolution trend of the warning level is determined to achieve the effect of warning yellow mud water; the prediction of the change trend of yellow mud concentration and yellow mud water level is as follows:

[0043] ① Predict the changing trend of yellow mud concentration:

[0044] Set up The yellow mud concentration data value is ,Will The yellow mud concentration data series is transposed. For the transposed series, The yellow mud concentration data value is , then the trend test statistic 1 is:

[0045] (7)

[0046] in, is a symbolic function, indicating The difference, , ,when >0, ;when =0, ;when <0,

[0047] when When It obeys the normal distribution with a mean of 0, and the variance is:

[0048] / 18(8)

[0049] For statistics To standardize:

[0050] (9)

[0051] Through statistics The symbol determines the trend type. >0 means that the concentration of yellow mud has an upward trend, indicating that the warning level is getting higher. <0 means that the concentration of yellow mud has a downward trend, indicating that the warning level is getting lower. =0 means that the concentration of yellow mud remains stable;

[0052] ② Predict the changing trend of the yellow mud water level:

[0053] Set up The yellow mud water level data value is ,Will Transpose the yellow mud water level data sequence. For the transposed sequence, The yellow mud water level data value is , then the trend test statistic for:

[0054] (10)

[0055] in, is a symbolic function, indicating The difference, , ,when >0, ;when =0, ;when <0, .

[0056] when When It can obey the normal distribution with a mean of 0 and a variance of:

[0057] / 18(11)

[0058] For statistics To standardize:

[0059] (12)

[0060] Through statistics The symbol determines the trend type. >0 means that the yellow mud water level has an upward trend, indicating that the warning level has become higher. <0 means that the yellow mud water level has a downward trend, indicating that the warning level is getting lower. =0 means the mud water level remains stable;

[0061] Through the above trend test and analysis, various conditions of the changing trends of yellow mud concentration and yellow mud water level are reflected, so that corresponding countermeasures can be taken.

[0062] The beneficial effects of the present invention are:

[0063] The present invention is based on a yellow mud water monitoring and early warning device under variable water level conditions, which reflects the change of yellow mud concentration under different water levels through water level tracking, and uses the trend test principle to predict the future change trend of the yellow mud water level and yellow mud concentration, and then timely warns, implements corresponding early warning measures, and provides management needs and data support for urban water environment departments. The yellow mud water monitoring and early warning device of the present invention is based on tracking and monitoring under variable water level conditions, and can be applied to the monitoring and early warning of water level tracking. For the frequent and widespread phenomenon of yellow mud water in high-density cities, the device can perceive and monitor the yellow mud concentration from the perspective of water level changes, can fully automate information processing, and support wireless real-time transmission of data. It only needs to place the early warning device securely on a drainage pipe or river channel, etc., and then adjust the level and firmly fix it, and then put it into measurement work. It provides a solid technical support and data resource foundation for the prevention and control of yellow mud water flooding problems, water resource security, and water environment management and improvement work faced by the current city. BRIEF DESCRIPTION OF THE DRAWINGS

[0064] Figure 1 It is a schematic diagram of the structure of the monitoring and early warning device of the present invention.

[0065] Figure 2 for Figure 1 Side view of.

[0066] Figure 3 The present invention is a flow chart of the yellow mud water monitoring and early warning method under variable water level conditions.

[0067] In the figure, 1: solar panel; 2: camera; 3: servo; 4: horizontal aluminum profile; 5: angle code; 6: reduction stepper motor; 7: ultrasonic level meter; 8: optical axis main rod; 9: turbidity sensor; 10: cross clamp; 11: motor fixing seat; 12: pulley; 13: slider; 14: control box; 15: solar panel connector. DETAILED DESCRIPTION

[0068] The specific implementation of the present invention is further described in detail below with reference to the accompanying drawings and examples.

[0069] Example 1

[0070] The yellow mud water monitoring and early warning device based on variable water level conditions of the present invention is as follows: Figure 1-2 As shown, it includes a horizontal aluminum profile 4 and a control box 14 fixed to the upper wall of the pipeline, the horizontal aluminum profile 4 is connected to the longitudinal aluminum profile through an angle code 5, a slide rail is provided along the length direction of the longitudinal aluminum profile, a pulley 12 is connected to the slide rail, and the pulley 12 is connected to the reduction stepper motor 6; the pulley 12 is connected to the vertical optical axis main rod 8 through a cross clamp 10, and the end of the optical axis main rod 8 is fixedly connected to a turbidity sensor 9, and the turbidity sensor 9 can move up and down with the pulley 12.

[0071] A solar panel 1 is arranged at the top of the longitudinal aluminum profile, and an ultrasonic level meter 7 is arranged at the end. A servo 3 is also connected to the longitudinal aluminum profile. The servo 3 is connected to the camera 2 to control the rotation angle of the camera. The solar panel 1 provides power for the control box 14, the camera 2 and the servo 3.

[0072] The solar panel 1 is connected to the longitudinal aluminum profile through a solar panel connector 15 , and the solar panel connector 15 and the control box 14 are located on the back of the longitudinal aluminum profile.

[0073] The reduction stepping motor 6 is fixedly connected to the motor fixing seat 11, the pulley 12 is fixed to the slider 13, and the slider 13 is nested and connected to the slide rail.

[0074] The control box 14 is used for data calculation and storage, controlling the movement of the reduction stepping motor 6 , controlling the rotation of the steering gear 3 , controlling the switch of the camera 2 , controlling the switch of the ultrasonic level meter 7 , and controlling the switch of the turbidity sensor 9 .

[0075] The yellow mud water monitoring and early warning device under variable water level conditions of the present invention provides large data for real-time monitoring and accurate early warning of yellow mud water based on two major monitoring indicators (color and water level) and one major early warning level indicator (yellow mud concentration). By collecting and analyzing the instantaneous water level and yellow mud concentration data of the cross-section yellow mud water, the occurrence of water disasters can be predicted and early warning can be given, which provides a scientific basis for water ecological management decision-making and the formulation of more accurate disaster prevention and mitigation measures and emergency plans.

[0076] The device of the present invention has a simple structure, can be easily separated and assembled, is highly portable, has low cost, and is suitable for multiple scenarios. The device can timely grasp the changes in the water conditions (concentration, water level) of yellow mud water, and according to the set warning threshold, the monitoring and early warning device can automatically trigger the early warning mechanism, thereby improving the early warning efficiency. At the same time, it can also monitor water level anomalies caused by natural disasters such as rainfall and mudslides, so that relevant departments can quickly grasp the real-time conditions of the water body and provide timely data support for subsequent decision-making and actions.

[0077] Example 2

[0078] The present invention is based on a yellow mud water monitoring and early warning method under variable water level conditions, and the process is as follows: Figure 3 The specific steps are as follows:

[0079] Step 1: Install the yellow mud water monitoring and early warning device on the upper part of the pipeline or channel and debug it so that the turbidity sensor is located in the centerline direction of the pipeline or channel;

[0080] The debugging process is: check whether there are any missing or damaged components, turn on the power to check whether the circuit system is running well, and at the same time check whether the camera, solar panel, reduction stepper motor, ultrasonic level meter, turbidity sensor, and pulley can work normally.

[0081] Step 2: Use an ultrasonic sensor to measure the height from the top of the pipe to the water surface and determine the measurement point;

[0082] Step 3: Determine the position of each measuring point according to the calculated measuring points. The deceleration stepper motor will gradually move the main rod of the optical axis to move the turbidity sensor to each point. The turbidity sensor will measure each point to obtain turbidity data. At the same time, the camera, under the action of the servo, will aim at the direction of the turbidity sensor to collect the color state of the yellow mud water and store the measured turbidity data and color state information; calculate the yellow mud concentration of the water body at a certain location , average yellow mud concentration ;

[0083] Step 4: Determine the warning level of yellow mud water based on the average yellow mud concentration, yellow mud water level conditions and water color;

[0084] Step 5: Combined with the warning level determined in step 4, the trend test principle is used to predict the change trend of yellow mud concentration and yellow mud water level, and then the evolution trend of the warning level is determined to achieve the effect of warning yellow mud water.

[0085] Example 3

[0086] Based on Example 2,

[0087] Step 2 determines the measurement point quantity as follows:

[0088] Assume the pipe diameter is , the ultrasonic level meter measures the height from the top of the pipe to the water surface as ,in is the height from the top of the pipe to the water surface, then the water level is , the diameter of the turbidity sensor is , water level Turbidity sensor diameter The ratio is , for:

[0089] (1)

[0090] in, 1m;

[0091] According to different ratios , determine the measurement point quantity under different water levels, and use rounding to the nearest integer in the calculation process. for:

[0092] (2)

[0093] Step 3 is as follows:

[0094] Step 3.1: Assume that the height of the turbidity sensor’s sphere center from the bottom of the pipe is ; The position of each measuring point is calculated according to formula (3), and the height of turbidity measurement from the bottom of the tube is for:

[0095] (3)

[0096] in, is the position ordinal number of the measuring point;

[0097] Step 3.2: Based on the principle of optical signal, the turbidity sensor measures Moment Water level height The concentration of yellow mud in the water at each measuring point is:

[0098] (4)

[0099] A certain water level situation occurs The average yellow mud concentration at all points was measured to be

[0100] (5)

[0101] in, is the correction factor of the turbidity sensor, 0 1; is the incident light intensity; For Under water level conditions The scattered light intensity at the collection point, in cd, and the value is generally greater than 0.

[0102] In step 3, adjust the camera position through the servo to observe the color of the water during measurement. Water color value at time for:

[0103] (6)

[0104] Step 4 is as follows:

[0105] The yellow mud water warning level is determined based on the water color, the yellow mud water level in the pipeline and the average yellow mud concentration.

[0106] When 1000≤ ≤2500, = , 0.75< ≤1.00; =1, indicating level 1 warning;

[0107] When 500≤ <1000, = , 0.50< ≤0.75; =2, indicating level 2 warning;

[0108] When 200≤ <500, = , 0.25< ≤0.50; =3, indicating level 3 warning;

[0109] When 100≤ <200, = , 0< ≤0.25; =4, indicating level 4 warning;

[0110] In the formula, is the average yellow mud concentration; is the ratio of the muddy water level to the pipe diameter; is the algebra of the color state of water, Take 0,1,2,3,4.

[0111] Step 5 is as follows:

[0112] According to the multiple sets of yellow mud concentration and yellow mud water level data obtained in step 4, the change trend of yellow mud concentration and yellow mud water level is predicted. The yellow mud concentration data and The yellow mud water level data is collected and the trend test principle is used to predict the changing trend of yellow mud concentration and yellow mud water level. The trend test method is a non-parametric statistical method for trend analysis of time series data. It has the advantages of not requiring samples to follow a specific distribution, being insensitive to outliers, and having strong applicability. It can effectively judge the evolution trend of the warning level and achieve the effect of warning yellow mud water.

[0113] ① Predict the changing trend of yellow mud concentration:

[0114] Set up The yellow mud concentration data value is ,Will The yellow mud concentration data series is transposed. For the transposed series, The yellow mud concentration data value is , then the trend test statistic 1 is:

[0115] (7)

[0116] in, is a symbolic function, indicating The difference, , ,when >0, ;when =0, ;when <0,

[0117] when When It obeys the normal distribution with a mean of 0, and the variance is:

[0118] / 18(8)

[0119] For statistics To standardize:

[0120] (9)

[0121] Through statistics The symbol determines the trend type. >0 means that the concentration of yellow mud has an upward trend, indicating that the warning level is getting higher. <0 means that the concentration of yellow mud has a downward trend, indicating that the warning level is getting lower. =0 means that the concentration of yellow mud remains stable;

[0122] ② Predict the changing trend of the yellow mud water level:

[0123] Set up The yellow mud water level data value is ,Will Transpose the yellow mud water level data sequence. For the transposed sequence, The yellow mud water level data value is , then the trend test statistic for:

[0124] (10)

[0125] in, is a symbolic function, indicating The difference, , ,when >0, ;when =0, ;when <0, .

[0126] when When It can obey the normal distribution with a mean of 0 and a variance of:

[0127] / 18(11)

[0128] For statistics To standardize:

[0129] (12)

[0130] Through statistics The size of the trend type is determined by >0 means that the yellow mud water level has an upward trend, indicating that the warning level has become higher. <0 means that the yellow mud water level has a downward trend, indicating that the warning level is getting lower. =0 means the mud water level remains stable;

[0131] Through the above trend test analysis, various conditions of the change trend of yellow mud concentration and yellow mud water level are reflected. The following Table 1 reflects various conditions of the change trend of yellow mud concentration and yellow mud water level, and thus different response measures are taken;

[0132] Table 1 Variation trend of yellow mud concentration and yellow mud water level and corresponding early warning measures

[0133]

[0134] The present invention reflects the change of yellow mud concentration under different water levels through water level tracking, analyzes the change trend of yellow mud concentration and yellow mud water level by trend test method, predicts the change of yellow mud concentration, water level and warning level of urban pipeline in the future, and provides management needs and data support for urban water environment departments.

[0135] The yellow mud water monitoring and early warning device of the present invention is based on tracking and monitoring under variable water level conditions, and can be applied to water level tracking monitoring and early warning. For the frequent and widespread yellow mud water in high-density cities, the device can sense and monitor the yellow mud concentration from the perspective of water level changes, and can automatically process information throughout the process, supporting wireless real-time transmission of data. The early warning device only needs to be securely placed on a drainage pipe, etc., and then adjusted horizontally and firmly fixed, and then it can be put into measurement work. It provides a solid technical support and data resource foundation for the prevention and control of yellow mud water flooding problems, water resource security, and water environment management and improvement work currently faced by cities.

[0136] The above describes the basic principles, main features and advantages of the present invention. The present invention is not limited to the above embodiments. The above embodiments only describe the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, which will fall within the scope of the present invention to be protected. The scope of protection claimed by the present invention is defined by the attached claims and their equivalents.

Claims

1. A yellow mud water monitoring and early warning method based on variable water level conditions, characterized in that: The yellow mud water monitoring and early warning device based on variable water level conditions is used. The specific operation steps are as follows: Step 1: Install the yellow mud water monitoring and early warning device on the upper part of the pipeline so that the turbidity sensor is located in the centerline direction of the pipeline; Step 2: Use an ultrasonic sensor to measure the height from the top of the pipe to the water surface and determine the measurement point; determine the measurement point quantity as follows: Assume the pipe diameter is , the ultrasonic level meter measures the height from the top of the pipe to the water surface as ,in is the height from the top of the pipe to the water surface, then the water level is , the diameter of the turbidity sensor is , water level Turbidity sensor diameter The ratio is , for: (1) in, 1m; According to different ratios , determine the measurement point quantity under different water levels, and use rounding to the nearest integer in the calculation process. for: (2) Step 3: Determine the position of each measuring point according to the calculated measuring points, move the turbidity sensor to each point, and measure each point to obtain turbidity data. At the same time, the camera is aimed at the direction of the turbidity sensor under the action of the steering gear to collect the color state of the yellow mud water, and the yellow mud concentration of the water body is calculated according to the measured turbidity data. , average yellow mud concentration ; Step 3 is as follows: Step 3.1: Assume that the height of the turbidity sensor’s sphere center from the bottom of the pipe is ; The position of each measuring point is calculated according to formula (3). The height of the turbidity sensor from the bottom of the pipe is : (3) in, is the position ordinal number of the measuring point; Step 3.2: Based on the principle of optical signal, the turbidity sensor measures Moment Water level height The concentration of yellow mud in the water at each measuring point is: (4) A certain water level situation occurs The average yellow mud concentration at all points was measured to be (5) in, is the correction factor of the turbidity sensor, 0 1; is the incident light intensity; For Under water level conditions The scattered light intensity at the collection point; In step 3, adjust the camera position through the servo to observe the color of the water during measurement. Water color value at time for: (6) Step 4: Determine the warning level of yellow mud water according to the average yellow mud concentration, yellow mud water level conditions and water color information; Step 4 is as follows: The yellow mud water warning level is determined based on the water color, the yellow mud water level in the pipeline and the average yellow mud concentration. : When 1000≤ ≤2500, = , 0.75< ≤1.00; =1, indicating level 1 warning; When 500≤ <1000, = , 0.50< ≤0.75; =2, indicating level 2 warning; When 200≤ <500, = , 0.25< ≤0.50; =3, indicating level 3 warning; When 100≤ <200, = , 0< ≤0.25; =4, indicating level 4 warning; In the formula, is the average yellow mud concentration; is the ratio of the muddy water level to the pipe diameter; is the algebra of the color state of water, Take 0,1,2,3,4; Step 5: Combined with the warning level determined in step 4, use the trend test principle to predict the change trend of yellow mud concentration and yellow mud water level, and then determine the evolution trend of the warning level to achieve the effect of warning yellow mud water.

2. The yellow mud water monitoring and early warning method based on variable water level conditions according to claim 1 is characterized in that: Step 5 is as follows: According to the multiple sets of yellow mud concentration and yellow mud water level data obtained in step 4, the change trend of yellow mud concentration and yellow mud water level is predicted. The yellow mud concentration data and The yellow mud water level data is collected and the trend test principle is used to predict the changing trend of yellow mud concentration and yellow mud water level, and then the evolution trend of the early warning level is determined to achieve the effect of early warning of yellow mud water.

3. The yellow mud water monitoring and early warning method based on variable water level conditions according to claim 2 is characterized in that: The forecast of the change trend of yellow mud concentration and yellow mud water level is as follows: ① Predict the changing trend of yellow mud concentration: Set up The yellow mud concentration data value is ,Will The yellow mud concentration data series is transposed. For the transposed series, The yellow mud concentration data value is , then the trend test statistic 1 is: (7) in, is a symbolic function, indicating and The difference, , ,when >0, ;when =0, ;when <0, when When It obeys the normal distribution with a mean of 0, and the variance is: / 18(8) For statistics To standardize: (9) Through statistics The symbol determines the trend type. >0 means that the concentration of yellow mud has an upward trend, indicating that the warning level is getting higher. <0 means that the concentration of yellow mud has a downward trend, indicating that the warning level is getting lower. =0 means that the concentration of yellow mud remains stable; ② Predict the changing trend of the yellow mud water level: Set up The yellow mud water level data value is ,Will Transpose the yellow mud water level data sequence. For the transposed sequence, The yellow mud water level data value is , then the trend test statistic for: (10) in, is a symbolic function, indicating and The difference, , ,when >0, ;when =0, ;when <0, ; when When It can obey the normal distribution with a mean of 0 and a variance of: / 18(11) For statistics To standardize: (12) Through statistics The symbol determines the trend type. >0 means that the yellow mud water level has an upward trend, indicating that the warning level has become higher. <0 means that the yellow mud water level has a downward trend, indicating that the warning level is getting lower. =0 means the mud water level remains stable; Through the above trend test and analysis, various conditions of the changing trends of yellow mud concentration and yellow mud water level are reflected, so that corresponding countermeasures can be taken.

4. The yellow mud water monitoring and early warning method based on variable water level conditions according to claim 3 is characterized in that: The yellow mud water monitoring and early warning device based on variable water level conditions comprises a transverse aluminum profile (4) fixed to the upper wall of the pipeline and a control box (14); the transverse aluminum profile (4) is connected to a longitudinal aluminum profile via an angle code (5); a slide rail is provided along the length direction of the longitudinal aluminum profile; a pulley (12) is connected to the slide rail; the pulley (12) is connected to a reduction stepping motor (6); the pulley (12) is connected to a vertical optical axis main rod (8) via a cross clamp (10); a turbidity sensor (9) is fixedly connected to the end of the optical axis main rod (8); A solar panel (1) is arranged at the top end of the longitudinal aluminum profile, and an ultrasonic level meter (7) is arranged at the end thereof; a steering gear (3) is also connected to the longitudinal aluminum profile; the steering gear (3) is connected to the camera (2) to control the rotation angle of the camera; and the solar panel (1) provides electric energy for the control box (14), the camera (2) and the steering gear (3); The solar panel (1) is connected to the longitudinal aluminum profile via a solar panel connector (15), and the solar panel connector (15) and the control box (14) are located on the back of the longitudinal aluminum profile; The reduction stepping motor (6) is fixedly connected to the motor fixing seat (11), the pulley (12) is fixed to the slider (13), and the slider (13) is nested and connected to the slide rail.

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