Water level monitoring device and system for water conservancy project gate pump station

Abstract

The invention discloses a water level monitoring device and system for a water conservancy project gate pump station, relates to the technical field of water conservancy projects, and aims to solve the technical problem that interference of liquid level bubbles and sunlight reflection affects a measurement result in the prior art, and the device comprises a radar module which is used for scanning the water level of the gate pump station and obtaining a liquid level fluctuation height map of the gate pump station; the data processing module is used for being connected with the radar module and comprises a liquid level fluctuation height threshold module, a data analysis module, a water level change estimation module and a liquid level actual change height module, and water level information is obtained by processing and analyzing a liquid level fluctuation height map obtained by the radar module; wherein the liquid level fluctuation height threshold value module comprises a liquid level fluctuation height threshold value selection unit and a liquid level fluctuation height data screening unit; wherein the data analysis module comprises a liquid level fluctuation height extreme value elimination unit, a height average value calculation unit and a height root-mean-square value calculation unit. The method has the advantage of guaranteeing the accuracy of measured data.

Description

Technical Field

[0001] The present invention relates to the technical field of water conservancy engineering, and more specifically to a water level monitoring device and system for a sluice pump station used in a water conservancy engineering project. Background Art

[0002] Water conservancy projects are projects built to control and allocate natural surface water and groundwater to achieve the purpose of eliminating harm and promoting benefits. They are also called water projects. Water is a valuable resource that is indispensable to human production and life, but its natural state does not fully meet human needs. Only by building water conservancy projects can we control water flow, prevent floods and waterlogging disasters, and regulate and distribute water to meet people's needs for water resources in life and production. Water conservancy projects require the construction of different types of hydraulic structures such as dams, dikes, spillways, sluices, water inlets, channels, ferries, rafts, and fishways to achieve their goals.

[0003] The accuracy of water level detection at the pumping station involved in the water conservancy project has a great impact on the accuracy of the pumping station's work. Reasonable planning and operation scheduling of water conservancy pumping stations play a key role in controlling water flow distribution and river runoff in the project area. Water level monitoring during flood seasons helps to timely discover safety hazards and reduce the degree of harm caused by natural disasters. Therefore, water level monitoring of pumping stations in water conservancy projects plays a vital role in water resource regulation.

[0004] Radar water level meter can automatically process the pulse signals transmitted and received by the water level meter, and output 4-20mA standard signals to form a complete water level measurement system. This type of product is easy to use, highly reliable, and has good consistency. It is widely used in reservoir water level measurement in water conservancy and power plant industries and water level monitoring in urban flood control and drainage systems.

[0005] However, the water level data monitored by the radar water level meter is easily disturbed by bubbles on the liquid surface and cannot be eliminated. It is also easy to receive images reflected by sunlight, resulting in inaccurate measurements. In view of this, we propose a water level monitoring device and system for sluice pump stations for water conservancy projects. Summary of the invention

[0006] The object of the present invention is to provide a water level monitoring device and system for a sluice pump station for a hydraulic project, so as to solve the technical problem in the prior art that interference from bubbles on the liquid surface and sunlight reflection affects the measurement results.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: a water level monitoring system for a sluice pump station for a water conservancy project, comprising: The radar module is used to scan the water level of the sluice pump station and obtain the liquid level fluctuation height map of the sluice pump station; the data processing module is used to connect the radar module, including a liquid level fluctuation height threshold module, a data analysis module, a water level change estimation module and a liquid level actual change height module, and obtains the water level information by processing and analyzing the liquid level fluctuation height map obtained by the radar module; Among them, the liquid level fluctuation height threshold module includes a liquid level fluctuation height threshold selection unit and a liquid level fluctuation height data screening unit; wherein the data analysis module includes a liquid level fluctuation height extreme value elimination unit, a height average value calculation unit and a height root mean square value calculation unit; wherein the water level change estimation module includes a liquid level actual change height calculation unit, and the liquid level actual change height calculation unit includes a data frame statistics subunit, a continuous frame data statistics subunit, and a liquid level fluctuation height extreme value calculation unit; The transmission module is used to connect the data processing module and the remote monitoring module, and transmits the water level information processed and analyzed by the data processing module; the remote monitoring module is used to connect the transmission module and realize remote monitoring of the gate pump station by receiving the water level information transmitted by the transmission module.

[0008] The present invention performs error analysis, threshold setting and data screening on the liquid level fluctuation height value through the liquid level fluctuation height extreme value calculation unit, the liquid level fluctuation height threshold selection unit and the liquid level fluctuation height data screening unit, which is beneficial to remove erroneous data points caused by radar signal interference and abnormal liquid surface reflection. Through the dynamic threshold adjustment strategy, data can be accurately screened according to the actual liquid level fluctuation situation, avoiding the influence of interference factors on the measurement results, so that the acquired water level data can more truly reflect the water level condition of the sluice pump station, and ensure the accuracy of the measurement data.

[0009] Preferably, the liquid level fluctuation height extreme value calculation unit is used to obtain the maximum value of the liquid level fluctuation height value through the radar module. and minimum value , the maximum value of the liquid level fluctuation height and minimum value Perform error analysis and compensation. The error analysis uses absolute error and ,in and is the theoretically accurate extreme value; The liquid level fluctuation height threshold selection unit is connected to the liquid level fluctuation height extreme value calculation unit, and the maximum value is obtained from the liquid level fluctuation height extreme value calculation unit. and minimum value , providing key threshold parameters for data screening and calculating the actual threshold of liquid level fluctuation height and ; The liquid level fluctuation height data screening unit is connected to the liquid level fluctuation height threshold selection unit, and screens the liquid level fluctuation height graph according to the liquid level fluctuation height threshold range.

[0010] Preferably, the data frame statistics subunit is connected to the radar module and is used to calculate the total amount of data frames. ; The continuous frame number statistics subunit is connected to the data frame statistics subunit and is used to calculate the continuous frame number exceeding the threshold value. and cooperate with the liquid level fluctuation height extreme value elimination unit.

[0011] Preferably, the liquid level fluctuation height extreme value elimination unit is connected to the liquid level fluctuation height data screening unit and the continuous frame number counting subunit, and the continuous frame number exceeding the threshold value is counted by counting the result after screening by the liquid level fluctuation height threshold range. , calculate the number of consecutive frames; The height average calculation unit is connected to the liquid level fluctuation height extreme value elimination unit, and obtains the actual liquid level change height through the calculation result of the liquid level fluctuation height extreme value elimination unit. , using the weighted average algorithm, assigning corresponding weights according to the importance of the liquid level fluctuation height at different times ; The height root mean square value calculation unit is connected to the liquid level fluctuation height extreme value elimination unit, and obtains the height root mean square value through the calculation result of the liquid level fluctuation height extreme value elimination unit. , according to the mathematical definition of the root mean square value, the liquid level fluctuation height data after eliminating abnormal values ​​is accurately calculated.

[0012] Preferably, the actual threshold value of the liquid level fluctuation height and The calculation method is: calculate the past The average value of liquid level fluctuation height data within minutes and standard deviation , ,in, is the liquid level fluctuation height value at different times during this time period, is the number of data points, , according to the preset multiple Determine the threshold range, , .

[0013] Preferably, the actual change height of the liquid level The calculation formula is: ,in, is the liquid level fluctuation height at different times, is the number of data points, and the mean square error is used to correct the calculation results. The correction formula is: , adjust the weighting coefficient according to the error size To optimize the calculation results.

[0014] Preferably, the average liquid level fluctuation height is The calculation formula is: ,in, is the liquid level fluctuation height value at different times.

[0015] Preferably, the height root mean square value The calculation formula is: ,in, is the liquid level fluctuation height at different times, is the average value of liquid level fluctuation height.

[0016] Preferably, the transmission module is used to measure the actual change in liquid level. , average liquid level fluctuation height and height RMS value The remote monitoring module transmits the actual height change of the liquid level to the remote monitoring module. , average liquid level fluctuation height and height RMS value To monitor the sluice pump station, the radar module is connected to a three-dimensional high-resolution microwave millimeter wave radar imaging probe.

[0017] A water level monitoring device for a sluice pump station for a hydraulic project, comprising a base with a primary support rod formed in the center of the top; A secondary support rod is detachably mounted on the top of the primary support rod, a monitoring cabinet is detachably mounted on one side of the secondary support rod, and a side support rod is formed on the outer edge surface of the secondary support rod, a connecting rod is detachably mounted on one end of the side support rod away from the secondary support rod, a measuring box for monitoring the water level of the pumping station is detachably mounted on the bottom of the outer edge surface of one end of the connecting rod away from the secondary support rod, and the three-dimensional high-resolution microwave millimeter wave radar imaging probe is installed in the measuring box; A second arm is symmetrically and detachably mounted on the top of the secondary support pole, and a photovoltaic solar panel is detachably and movably mounted on one end of the second arm away from the secondary support pole. A U-shaped clamp is symmetrically arranged on the outer edge surface of the secondary support pole, and a first arm is formed on the outer edge surface of the secondary support pole, and a monitoring cabinet is detachably mounted on one side of the U-shaped clamp, and the top of the first arm abuts against the bottom of the monitoring cabinet, and the radar module, data processing module and transmission module are integrated and arranged in the monitoring cabinet.

[0018] Compared with the prior art, the present invention has the following beneficial effects: 1. The present invention performs error analysis, threshold setting and data screening on the liquid level fluctuation height value through the liquid level fluctuation height extreme value calculation unit, the liquid level fluctuation height threshold selection unit and the liquid level fluctuation height data screening unit, which is beneficial to remove erroneous data points caused by radar signal interference and abnormal liquid surface reflection. Through the dynamic threshold adjustment strategy, data can be accurately screened according to the actual liquid level fluctuation situation, avoiding the influence of interference factors on the measurement results, so that the acquired water level data can more truly reflect the water level status of the sluice pump station, ensuring the accuracy of the measurement data, and solving the interference problem of liquid surface bubbles and sunlight reflection in the prior art.

[0019] 2. The multiple sub-units in the data processing module of the present invention realize multi-dimensional analysis of water level data. The height average value calculation unit adopts a weighted average algorithm to obtain the actual change height of the liquid surface. The height root mean square value calculation unit accurately calculates the height root mean square value. It deeply explores the inherent characteristics and potential laws of water level data from different angles, makes up for the limited data analysis capabilities of the prior art, and provides rich data support for the accurate monitoring, regulation and scientific management of water levels in water conservancy projects.

[0020] 3. The continuous frame number statistics subunit of the present invention displays the statistical results in real time visualization, which is convenient for operators to intuitively grasp the dynamics of liquid level fluctuations. At the same time, each part of the system monitors the data frame integrity and verification continuity in real time. This real-time monitoring and visualization method helps to promptly discover abnormal situations in system operation, such as abnormal data transmission and abnormal liquid level fluctuations, and take timely measures to adjust and process them, further enhancing the reliability and stability of the system and ensuring the continuous and accurate water level monitoring work. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 It is a structural schematic diagram of the present invention; Figure 2 is a side view of the present invention; Figure 3 A bottom view of the present invention; Figure 4 Schematic diagram of the system framework of the present invention.

[0022] Description of the numbers in the figure: 1. Base; 2. First-level support rod; 3. Second-level support rod; 4. First support arm; 5. U-shaped clamp; 6. Monitoring cabinet; 7. Second support arm; 8. Photovoltaic solar panel; 9. Side support rod; 10. Connecting rod; 11. Measuring box. DETAILED DESCRIPTION

[0023] Example 1: Figure 4As shown, a water level monitoring system for a sluice pump station for a water conservancy project includes: a radar module for scanning the water level of the sluice pump station and obtaining a liquid level fluctuation height map of the sluice pump station; a data processing module for connecting the radar module, including a liquid level fluctuation height threshold module, a data analysis module, a water level change estimation module, and a liquid level actual change height module, and obtaining water level information by processing and analyzing the liquid level fluctuation height map obtained by the radar module; a transmission module for connecting the data processing module and the remote monitoring module, and transmitting the water level information obtained by processing and analyzing the data processing module; a remote monitoring module for connecting the transmission module, and realizing remote monitoring of the sluice pump station by receiving the water level information transmitted by the transmission module; Wherein, the liquid level fluctuation height threshold module includes a liquid level fluctuation height threshold selection unit and a liquid level fluctuation height data screening unit; The data analysis module includes a liquid level fluctuation height extreme value elimination unit, a height average value calculation unit and a height root mean square value calculation unit; Among them, the water level change estimation module includes a liquid level actual change height calculation unit, and the liquid level actual change height calculation unit includes a data frame statistics subunit, a continuous frame data statistics subunit, and a liquid level fluctuation height extreme value calculation unit.

[0024] In an embodiment of the present invention, the liquid level fluctuation height extreme value calculation unit is used to obtain the maximum value of the liquid level fluctuation height value through the radar module. and minimum value , using the extreme value search algorithm based on the divide-and-conquer strategy combined with the dynamic window adjustment technology to quickly and accurately locate the extreme value, provide key parameters for judging the law of liquid level fluctuation height change, and the maximum value of the liquid level fluctuation height and minimum value Perform error analysis and compensation. The error analysis uses absolute error and ,in and For the theoretically accurate extreme value, the window size is adjusted according to the error size to optimize the extreme value finding algorithm; The liquid level fluctuation height threshold selection unit is connected to the liquid level fluctuation height extreme value calculation unit, and the maximum value is obtained from the liquid level fluctuation height extreme value calculation unit. and minimum value , providing key threshold parameters for data screening, the calculation is based on a comprehensive analysis of historical and real-time liquid level fluctuation height data, using advanced algorithms to ensure the accuracy and adaptability of threshold selection, and calculating the actual threshold of liquid level fluctuation height and ; The liquid level fluctuation height data screening unit is connected to the liquid level fluctuation height threshold selection unit. The liquid level fluctuation height graph is screened through the liquid level fluctuation height threshold range. The outlier removal algorithm based on data distribution characteristics is combined with a dynamic threshold adjustment strategy to remove erroneous data points caused by radar signal interference and abnormal liquid surface reflection, thereby ensuring the data quality of subsequent analysis. The unit has a real-time monitoring and feedback mechanism, automatically optimizes the algorithm parameters according to the screening results, and continuously improves the screening effect. The screening method is as follows: Assume that the liquid level fluctuation height map is a two-dimensional matrix , whose elements is the liquid level fluctuation height value, where, Indicates the line, Represents columns, corresponding to different coordinates or time information, and the matrix obtained after screening is , for a two-dimensional matrix Each element in ,if ,reserve , otherwise remove .

[0025] In an embodiment of the present invention, the data frame statistics subunit is connected to the radar module and is used to calculate the total amount of data frames. , record every data frame collected by the radar system in real time, ensure the accuracy of the total data calculation, build a complete data foundation for subsequent analysis, and monitor and verify the integrity and continuity of the data frame in real time, and handle data transmission anomalies in a timely manner; The continuous frame number statistics subunit is connected to the data frame statistics subunit and is used to calculate the continuous frame number exceeding the threshold value. The number of liquid level fluctuations is calculated and coordinated with the liquid level fluctuation height extreme value elimination unit. Multi-threaded parallel computing is used to improve statistical efficiency, and the liquid level fluctuation is quickly responded to. The statistical results are visualized in real time, which is convenient for operators to intuitively grasp the dynamics of liquid level fluctuations. The visualization uses a line chart or a bar chart to show the trend of the continuous frame number over time. The calculation method is as follows: set up is a sequence of data frames, Indicates Frame data, Indicates The liquid level fluctuation height value at a certain coordinate point in the frame data, is the set threshold, ,in, It is a continuous frame counter, with an initial value of 0. When the continuous frame number exceeds the threshold Count the number of consecutive frames. set up Axis is time series , Axis is continuous frame number , for each data frame , plot the points , and then connect these points to form a line graph to intuitively show the trend of continuous frame number over time, which is convenient for operators to observe the dynamics of liquid level fluctuations. It can be determined based on the data frame collection time interval and sequence number, for example , The time interval for data frame collection.

[0026] In an embodiment of the present invention, the liquid level fluctuation height extreme value elimination unit is connected to the liquid level fluctuation height data screening unit and the continuous frame number counting subunit, and the continuous frame number exceeding the threshold value is counted by counting the result after screening by the liquid level fluctuation height threshold range. The number of continuous frames is calculated by using the sliding window counting method based on time series combined with the adaptive threshold adjustment mechanism. The threshold value is set as needed. The comparison results and change trends of the continuous frames and the preset threshold value are comprehensively considered. The periodicity and randomness of the liquid level fluctuation are combined to determine the change law of the liquid level fluctuation height, thereby ensuring the reliability of the judgment of the change law. The height average calculation unit is connected to the liquid level fluctuation height extreme value elimination unit, and the actual liquid level change height is obtained through the calculation result of the liquid level fluctuation height extreme value elimination unit. , using the weighted average algorithm, assigning corresponding weights according to the importance of the liquid level fluctuation height at different times ,The weight allocation is based on the in-depth analysis of the historical data of liquid level fluctuation and the dynamic grasp of real-time trends; The height root mean square value calculation unit is connected to the liquid level fluctuation height extreme value elimination unit, and the height root mean square value is obtained through the calculation result of the liquid level fluctuation height extreme value elimination unit. According to the mathematical definition of the root mean square value, the liquid level fluctuation height data after removing the outliers is accurately calculated to evaluate the discrete degree of the liquid level fluctuation. Combined with the spectrum analysis technology, the frequency characteristics of the fluctuation are analyzed to provide multi-dimensional data support for a comprehensive understanding of the liquid level fluctuation state. The spectrum analysis uses fast Fourier transform The liquid level fluctuation height data is processed to obtain the fluctuation frequency component.

[0027] In an embodiment of the present invention, the actual threshold value of the liquid level fluctuation height and The calculation method is: calculate the past The average value of liquid level fluctuation height data within minutes and standard deviation , ,in, is the liquid level fluctuation height value at different times during this time period, is the number of data points, , according to the preset multiple Determine the threshold range, , .

[0028] In the embodiment of the present invention, the actual change height of the liquid level The calculation formula is: ,in, is the liquid level fluctuation height at different times, is the number of data points, and the mean square error is used to correct the calculation results. The correction formula is: , adjust the weighting coefficient according to the error size To optimize the calculation results.

[0029] In the embodiment of the present invention, the average liquid level fluctuation height is The calculation formula is: ,in, is the liquid level fluctuation height value at different times.

[0030] In an embodiment of the present invention, the height root mean square value The calculation formula is: ,in, is the liquid level fluctuation height at different times, is the average value of liquid level fluctuation height.

[0031] In an embodiment of the present invention, the transmission module is used to measure the actual change in height of the liquid level. , average liquid level fluctuation height and height RMS value The data is transmitted to the remote monitoring module, which is based on the actual height change of the liquid level. , average liquid level fluctuation height and height RMS value To monitor the sluice pump station, the radar module is connected to the three-dimensional high-resolution microwave millimeter-wave radar imaging probe, and the transmission module and the remote monitoring module are connected by wireless communication to facilitate data transmission.

[0032] In an embodiment of the present invention, the radar module is connected to a three-dimensional high-resolution microwave and millimeter-wave radar imaging probe, and has the following functions: It has the ability to resolve targets at long distances, with imaging accuracy reaching the millimeter level. The imaging range covers the entire relevant waters of the sluice pump station, with no blind spots for monitoring, providing a high-resolution image data basis for subsequent analysis to accurately obtain the overall status of the liquid level and subtle changes; Any sub-region with a minimum size of centimeters can be selected within the imaging range for regional processing, focusing on the liquid level fluctuation in a specific area to meet the needs of refined monitoring. At the same time, it has the ability to detect liquid surface targets with high resolution of no less than centimeters, and can accurately identify the impact of different types of objects or phenomena on the liquid surface on the liquid level fluctuation height, and effectively distinguish various types of liquid level fluctuation factors.

[0033] Example 2: Figure 1-Figure 3 As shown, a water level monitoring device for a sluice pump station for a water conservancy project comprises a base 1 with a primary support rod 2 formed in the center of the top, a secondary support rod 3 is detachably mounted on the top of the primary support rod 2, a monitoring cabinet 6 is detachably mounted on one side of the secondary support rod 3, and a side support rod 9 is formed on the outer edge surface of the secondary support rod 3, a connecting rod 10 is detachably mounted on one end of the side support rod 9 away from the secondary support rod 3, and a measuring box 11 for monitoring the water level of the pump station is detachably mounted on the bottom of the outer edge surface of the end of the connecting rod 10 away from the secondary support 3, and a three-dimensional high-resolution microwave millimeter The wave radar imaging probe is integrated in the measuring box 11, and the top of the secondary support rod 3 is symmetrically and detachably mounted with a second support arm 7, and the end of the second support arm 7 away from the secondary support rod 3 is detachably and movably mounted with a photovoltaic solar panel 8, and the outer edge surface of the secondary support rod 3 is symmetrically provided with a U-shaped clamp 5, and the outer edge surface of the secondary support rod 3 is formed with a first support arm 4, and a monitoring cabinet 6 is detachably mounted on one side of the U-shaped clamp 5, and the top of the first support arm 4 is abutted against the bottom of the monitoring cabinet 6, and the radar module, the data processing module and the transmission module are integrated in the monitoring cabinet 6.

[0034] The embodiments of the present invention disclose preferred embodiments, but are not limited thereto. A person skilled in the art can easily understand the spirit of the present invention based on the above embodiments and make different extensions and changes. However, as long as they do not deviate from the spirit of the present invention, they are all within the protection scope of the present invention.

Claims

1. A water level monitoring system for a sluice pump station for a hydraulic project, characterized in that: include: Radar module, used to scan the water level of the sluice pump station and obtain the height map of the liquid level fluctuation of the sluice pump station; The data processing module is used to connect to the radar module, including a liquid level fluctuation height threshold module, a data analysis module, a water level change estimation module and a liquid level actual change height module, and obtains water level information by processing and analyzing the liquid level fluctuation height map obtained by the radar module; Wherein, the liquid level fluctuation height threshold module includes a liquid level fluctuation height threshold selection unit and a liquid level fluctuation height data screening unit; The data analysis module includes a liquid level fluctuation height extreme value elimination unit, a height average value calculation unit and a height root mean square value calculation unit; The water level change estimation module includes a liquid level actual change height calculation unit, and the liquid level actual change height calculation unit includes a data frame statistics subunit, a continuous frame data statistics subunit, and a liquid level fluctuation height extreme value calculation unit; A transmission module is used to connect the data processing module and the remote monitoring module, and transmit the water level information processed and analyzed by the data processing module; The remote monitoring module is used to connect to the transmission module and realize remote monitoring of the gate pump station by receiving the water level information transmitted by the transmission module.

2. A water level monitoring system for a sluice pump station for a hydraulic project according to claim 1, characterized in that: The liquid level fluctuation height extreme value calculation unit is used to obtain the maximum value of the liquid level fluctuation height value through the radar module and minimum value , the maximum value of the liquid level fluctuation height and minimum value Perform error analysis and compensation. The error analysis uses absolute error and ,in and is the theoretically accurate extreme value; The liquid level fluctuation height threshold selection unit is connected to the liquid level fluctuation height extreme value calculation unit, and the maximum value is obtained from the liquid level fluctuation height extreme value calculation unit. and minimum value , providing key threshold parameters for data screening and calculating the actual threshold of liquid level fluctuation height and ; The liquid level fluctuation height data screening unit is connected to the liquid level fluctuation height threshold selection unit, and screens the liquid level fluctuation height graph according to the liquid level fluctuation height threshold range.

3. A water level monitoring system for a sluice pump station for a hydraulic project according to claim 2, characterized in that: The data frame statistics subunit is connected to the radar module and is used to calculate the total amount of data frames. ; The continuous frame number statistics subunit is connected to the data frame statistics subunit and is used to calculate the continuous frame number exceeding the threshold value. and cooperate with the liquid level fluctuation height extreme value elimination unit.

4. A water level monitoring system for a sluice pump station for a hydraulic project according to claim 3, characterized in that: The liquid level fluctuation height extreme value elimination unit is connected to the liquid level fluctuation height data screening unit and the continuous frame number counting subunit, and the continuous frame number exceeding the threshold value is counted by the result after screening by the liquid level fluctuation height threshold range. , calculate the number of consecutive frames; The height average calculation unit is connected to the liquid level fluctuation height extreme value elimination unit, and obtains the actual liquid level change height through the calculation result of the liquid level fluctuation height extreme value elimination unit. , using the weighted average algorithm, assigning corresponding weights according to the importance of the liquid level fluctuation height at different times ; The height root mean square value calculation unit is connected to the liquid level fluctuation height extreme value elimination unit, and obtains the height root mean square value through the calculation result of the liquid level fluctuation height extreme value elimination unit. , according to the mathematical definition of the root mean square value, the liquid level fluctuation height data after eliminating abnormal values ​​is accurately calculated.

5. A water level monitoring system for a sluice pump station for a hydraulic project according to claim 4, characterized in that: The actual threshold value of the liquid level fluctuation height and The calculation method is: calculate the past The average value of liquid level fluctuation height data within minutes and standard deviation , ,in, is the liquid level fluctuation height value at different times during this time period, is the number of data points, , according to the preset multiple Determine the threshold range, , .

6. A water level monitoring system for a sluice pump station for a hydraulic project according to claim 5, characterized in that: The actual change height of the liquid level The calculation formula is: ,in, is the liquid level fluctuation height at different times, is the number of data points, and the mean square error is used to correct the calculation results. The correction formula is: , adjust the weighting coefficient according to the error size To optimize the calculation results.

7. A water level monitoring system for a sluice pump station for a hydraulic project according to claim 6, characterized in that: The average value of the liquid level fluctuation height The calculation formula is: ,in, is the liquid level fluctuation height value at different times.

8. A water level monitoring system for a sluice pump station for a hydraulic project according to claim 7, characterized in that: The height RMS value The calculation formula is: ,in, is the liquid level fluctuation height at different times, is the average value of liquid level fluctuation height.

9. A water level monitoring system for a sluice pump station for a hydraulic project according to claim 8, characterized in that: The transmission module is used to measure the actual change in height of the liquid level. , average liquid level fluctuation height and height RMS value The remote monitoring module transmits the actual height change of the liquid level to the remote monitoring module. , average liquid level fluctuation height and height RMS value To monitor the sluice pump station, the radar module is connected to a three-dimensional high-resolution microwave millimeter wave radar imaging probe.

10. A monitoring device used in the water level monitoring system of a sluice pump station for a hydraulic engineering project as claimed in claim 9, characterized in that: It comprises a base (1) with a primary support rod (2) formed in the center of the top; A secondary support rod (3) is detachably mounted on the top of the primary support rod (2), a monitoring cabinet (6) is detachably mounted on one side of the secondary support rod (3), and a side support rod (9) is formed on the outer edge surface of the secondary support rod (3), a connecting rod (10) is detachably mounted on one end of the side support rod (9) away from the secondary support rod (3), a measuring box (11) for monitoring the water level of the pump station is detachably mounted on the bottom of the outer edge surface of one end of the connecting rod (10) away from the secondary support rod (3), and the three-dimensional high-resolution microwave millimeter wave radar imaging probe is mounted in the measuring box (11); A second arm (7) is symmetrically and detachably mounted on the top end of the secondary support rod (3); a photovoltaic solar panel (8) is detachably and movably mounted on one end of the second arm (7) away from the secondary support rod (3); a U-shaped clamp (5) is symmetrically mounted on the outer edge surface of the secondary support rod (3); and a first arm (4) is formed on the outer edge surface of the secondary support rod (3); a monitoring cabinet (6) is detachably mounted on one side of the U-shaped clamp (5); the top end of the first arm (4) abuts against the bottom of the monitoring cabinet (6); and the radar module, the data processing module and the transmission module are integrated and arranged in the monitoring cabinet (6).

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