A method and system for modeling operation data of a tidal river network water gate and a terminal

Abstract

The application discloses a kind of tidal river network sluice operation data model processing method, system and terminal, it is related to sluice operation analysis technical field, and its technical scheme main points are: initial outer river tidal level is carried out noise reduction pretreatment, and sliding average is carried out;Select the smooth result of the highest matching degree of rising and falling tide trend, and carry out abnormal fluctuation elimination processing;The rising and falling tide trend in standard smooth result is analyzed;Rising and falling tide trend result and water level difference threshold are loaded in Infoworks RTC module;Different water level difference threshold is tried, and the optimal water level difference threshold of sluice opening and closing is determined, to obtain final Infoworks RTC module.The application is carried out to the smooth processing of outer river tidal level data, and the outer river tidal drop process is judged, according to the inner and outer river tidal difference to control the opening and closing of sluice, reach water quality model operation working condition and actual engineering working condition consistent, provide strong support for later water power water quality model rating.

Description

Technical Field

[0001] This invention relates to the field of sluice gate operation analysis technology, and more specifically, to a method, system, and terminal for modeling and processing sluice gate operation data in tidal river networks. Background Technology

[0002] The rules governing the operation of sluice gates are an important component of hydrodynamic and water quality models. The quality of the simplified rules directly affects the rationality of the results of the hydrodynamic and water quality models.

[0003] Currently, there are few analytical methods for the actual operation and scheduling rules of sluice gates in tidal river networks. Simplifying these actual sluice gate operation and scheduling rules into model rules is a crucial step in calibrating hydrodynamic and water quality models. In existing technologies, most sluice gate operation rules are implemented by pre-setting water level responses, which fails to reflect the actual operating conditions of the sluice gates and is detrimental to the later calibration of hydrodynamic and water quality models.

[0004] Therefore, how to research and design a data modeling method, system, and terminal for tidal river network sluice gate operation that can overcome the above-mentioned defects is a problem that we urgently need to solve. Summary of the Invention

[0005] To address the shortcomings of existing technologies, the present invention aims to provide a method, system, and terminal for modeling and processing operational data of tidal river network sluice gates. This involves smoothing the external river tidal level data, using the smoothed external river tidal level as the boundary of the ICM water quality model, and controlling the opening and closing of the sluice gates by judging the external river tidal ebb process and the difference in tidal levels between the internal and external rivers during model calculations. This ensures that the operating conditions of the water quality model are as consistent as possible with the actual engineering conditions, providing strong support for the subsequent calibration of the hydrodynamic water quality model.

[0006] The above-mentioned technical objective of the present invention is achieved through the following technical solution:

[0007] Firstly, a method for modeling and processing operational data of tidal river network sluice gates is provided, including the following steps:

[0008] The initial external river tide level was preprocessed for noise reduction, and multiple smoothing results were obtained by moving average of the noise-reduced external river tide level using different window widths.

[0009] The smoothing result with the highest matching degree with the initial external river tide level is selected, and the selected smoothing result is processed to eliminate abnormal fluctuations to obtain the standard smoothing result. The standard smoothing result is then added to the ICM water quality model as the boundary condition of the external river tide level at the water system outlet.

[0010] In the Infoworks RTC module of the ICM water quality model, the ebb and flow trend in the standard smoothing results is analyzed by constructing intermediate variables to obtain the ebb and flow trend results;

[0011] Based on the actual sluice gate opening records of the management station and the tidal data of the inner and outer rivers at the same time, a water level difference threshold of the inner river tidal level being greater than that of the outer river tidal level was initially set when the sluice gate was opened.

[0012] The results of tidal trends and water level difference thresholds are written into the Infoworks RTC module for the opening and closing of the sluice gate as the general rules for sluice gate operation.

[0013] By using the Infoworks RTC module to perform trial calculations on different water level difference thresholds, the optimal water level difference threshold for opening and closing the sluice gate is determined, thus obtaining the final Infoworks RTC module.

[0014] Furthermore, the analysis process for the matching degree of the tidal trend is as follows:

[0015] The difference in tidal level between adjacent moments is calculated based on the smoothing results to obtain a smoothed tidal state sequence.

[0016] The initial tidal state sequence is obtained by calculating the difference between tidal levels at adjacent times based on the initial tidal level of the outer river.

[0017] The maximum distribution similarity between the smoothed tidal state sequence and the initial tidal state sequence is used as the tidal trend matching degree.

[0018] Furthermore, the calculation process for the distribution similarity is as follows:

[0019] If the difference in tide levels is greater than 0, it is a rising tide, and the sequence value is assigned to 1.

[0020] If the difference in tide levels is less than 0, it is an ebb tide, and the sequence value is assigned to 0.

[0021] Compare the sequence values ​​of the smoothed tidal state sequence and the initial tidal state sequence at the same time; if the sequence values ​​are the same, assign a value of 1 to the corresponding time; if the sequence values ​​are different, assign a value of 0 to the corresponding time.

[0022] The cumulative summation of the values ​​assigned at all times is used to calculate the proportion of 1 values, thus obtaining the distribution similarity.

[0023] Furthermore, the process for eliminating abnormal fluctuations in the smoothing result is as follows:

[0024] Outlier data are selected when the duration of high tide or low tide in the smoothing results is less than the preset time and the corresponding outer river tide level is selected.

[0025] An interpolation method is used to replace the abnormal data, resulting in a standard smoothed result.

[0026] Furthermore, the analysis process of the tidal trend is as follows:

[0027] Construct an intermediate variable and assign the previous outer river tide level to the intermediate variable;

[0028] Calculate the difference between the outer river tide level and the intermediate variable at the next moment; if the difference is less than 0, it is judged as low tide; if the difference is greater than 0, it is judged as high tide.

[0029] Furthermore, the process of writing the tidal trend results and water level difference threshold is as follows:

[0030] Based on the results of tidal trends, water level difference thresholds, and original records of actual sluice gate operation, the actual opening and closing conditions of the sluice gate are generalized into rules.

[0031] The obtained sluice gate operation rules are incorporated as boundary conditions into the Infoworks RTC module.

[0032] Furthermore, the process for determining the optimal water level difference threshold is as follows:

[0033] The Infoworks RTC module is used to calculate the water level difference threshold to obtain the corresponding sluice gate opening status and sluice gate flow status.

[0034] Perform logical operations and judgments on the sluice gate's open status and flow rate status;

[0035] The proportion of qualified status data is statistically determined, and the water level difference threshold corresponding to the largest proportion of status data is selected as the optimal water level difference threshold.

[0036] Secondly, a data modeling and processing system for the operation of tidal river network sluice gates is provided, including:

[0037] The preprocessing module is used to perform noise reduction preprocessing on the initial external river tide level, and to perform moving average on the noise-reduced external river tide level using different window widths to obtain multiple smooth results;

[0038] The anomaly handling module is used to select the smoothing result with the highest matching degree to the rise and fall tidal trend of the initial external river tidal level, and to obtain the standard smoothing result after anomaly fluctuation elimination processing of the selected smoothing result, and to add the standard smoothing result as the boundary condition of the external river tidal level at the water system outlet to the ICM water quality model.

[0039] The ebb and flow analysis module is used in the Infoworks RTC module of the ICM water quality model to analyze the ebb and flow trends in the standard smoothing results by constructing intermediate variables, and obtain the ebb and flow trend results.

[0040] The threshold setting module is used to set the water level difference threshold between the inner and outer river tides at the same time as the actual gate opening record of the management station.

[0041] The model loading module is used to write the tidal trend results and water level difference threshold as the general rules for sluice gate operation into the Infoworks RTC module for sluice gate opening and closing.

[0042] The trial calculation and analysis module is used to perform trial calculations on different water level difference thresholds using the Infoworks RTC module to determine the optimal water level difference threshold for opening and closing the sluice gate, thus obtaining the final Infoworks RTC module.

[0043] Thirdly, a computer terminal is provided, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement a data modeling processing method for the operation of a tidal river network sluice gate as described in any one of the first aspects.

[0044] Fourthly, a computer-readable medium is provided having a computer program stored thereon, the computer program being executed by a processor to implement a method for modeling and processing operational data of a tidal river network sluice gate as described in any one of the first aspects.

[0045] Compared with the prior art, the present invention has the following beneficial effects:

[0046] This invention proposes a data modeling method for tidal river network sluice gate operation. Addressing the characteristics of fragmented tidal river network sluice gate operation data (containing only the opening and closing times of the sluice gates), large fluctuations in external water levels (two rises and falls per day), and numerous influences from sluice gate operation conditions, this method, based on the Infoworks RTC module (RTC) in the Infoworks ICM model, first smooths the external river tidal data and determines the external river tidal ebb process. Simultaneously, it controls the opening and closing of the sluice gates based on the tidal difference between the internal and external rivers, achieving a water quality model operation condition as consistent as possible with actual engineering conditions, thus providing strong support for subsequent hydrodynamic and water quality model calibration. Attached Figure Description

[0047] The accompanying drawings, which are included to provide a further understanding of embodiments of the invention and form part of this application, do not constitute a limitation thereof. In the drawings:

[0048] Figure 1 This is a flowchart from an embodiment of the present invention;

[0049] Figure 2 This is a schematic diagram of the sluice gate opening and closing status before the external river tide level noise reduction in this embodiment of the invention;

[0050] Figure 3 This is a schematic diagram of the sluice gate opening and closing status after noise reduction of the external river tide level in an embodiment of the present invention;

[0051] Figure 4 This is a system block diagram in an embodiment of the present invention. Detailed Implementation

[0052] To make the objectives, technical solutions, and advantages of the present invention clearer, the present invention will be further described in detail below with reference to the embodiments and accompanying drawings. The illustrative embodiments and descriptions of the present invention are only used to explain the present invention and are not intended to limit the present invention.

[0053] Example 1: A method for modeling and processing operational data of tidal river network sluice gates, such as... Figure 1 As shown, it includes the following steps:

[0054] S1: The initial external river tide level is preprocessed for noise reduction, and multiple smooth results are obtained by moving average of the noise-reduced external river tide level through different window widths;

[0055] S2: Select the smoothing result with the highest matching degree with the initial external river tide level, and after performing abnormal fluctuation elimination processing on the selected smoothing result, obtain the standard smoothing result, and add the standard smoothing result as the boundary condition of the external river tide level at the water system outlet to the ICM water quality model.

[0056] S3: In the Infoworks RTC module of the ICM water quality model, the ebb and flow trend in the standard smoothing results is analyzed by constructing intermediate variables to obtain the ebb and flow trend results;

[0057] S4: Based on the actual sluice gate opening records of the management station and the tidal data of the inner and outer rivers at the same time, a water level difference threshold of the inner river tidal level being greater than that of the outer river tidal level is initially set when the sluice gate is opened.

[0058] S5: Write the tidal trend results and water level difference threshold as the general rules for sluice gate operation into the Infoworks RTC module for sluice gate opening and closing.

[0059] S6: Use the Infoworks RTC module to perform trial calculations on different water level difference thresholds to determine the optimal water level difference threshold for opening and closing the sluice gate, so as to obtain the final Infoworks RTC module.

[0060] This invention uses the moving average method to reduce noise in the outer river tide level, resulting in a smoother and more stable outer river tide level process. At the same time, it uses a trial-and-error method to determine the inner and outer river tide level thresholds for sluice gate opening and closing, improving the matching degree between sluice gate operation in the model and actual scheduling conditions, and providing a good foundation for the calibration of hydrological and hydrodynamic models.

[0061] The analysis process of the tidal trend matching degree is as follows: calculate the difference of tide level between adjacent moments based on the smoothing result to obtain the smoothed tidal state sequence; calculate the difference of tide level between adjacent moments based on the initial outer river tide level to obtain the initial tidal state sequence; and take the maximum distribution similarity between the smoothed tidal state sequence and the initial tidal state sequence as the tidal trend matching degree.

[0062] The specific process for calculating distribution similarity is as follows: If the difference in tide levels is greater than 0, it is a rising tide, and the sequence value is assigned a value of 1; if the difference in tide levels is less than 0, it is a falling tide, and the sequence value is assigned a value of 0; compare the sequence values ​​of the smoothed rising and falling tide state sequence and the initial rising and falling tide state sequence at the same time; if the sequence values ​​are the same, assign a value of 1 to the corresponding time; if the sequence values ​​are different, assign a value of 0 to the corresponding time; sum up the assigned values ​​for all times, calculate the proportion of 1 values, and obtain the distribution similarity.

[0063] The process of eliminating abnormal fluctuations in the smoothing results is as follows: Select the outer river tide level corresponding to the duration of high tide or low tide being less than the preset time in the smoothing results as abnormal data; replace the abnormal data with interpolation processing method to obtain the standard smoothing results.

[0064] The specific process of analyzing the ebb and flow tide trend is as follows: construct an intermediate variable and assign the previous tide level of the outer river to the intermediate variable; calculate the difference between the next tide level of the outer river and the intermediate variable; if the difference is less than 0, it is judged as ebb tide; if the difference is greater than 0, it is judged as rising tide.

[0065] The process of writing the tidal trend results and water level difference threshold is as follows: Based on the tidal trend results, water level difference threshold, and original record data of the actual operation of the sluice gate, the actual opening and closing conditions of the sluice gate are generalized into rules; the resulting sluice gate operation rules are incorporated into the Infoworks RTC module as boundary conditions.

[0066] The process of determining the optimal water level difference threshold is as follows: the water level difference threshold is calculated by using the Infoworks RTC module to obtain the corresponding sluice gate opening status and sluice gate flow status; the sluice gate opening status and sluice gate flow status are logically combined and judged; the proportion of qualified status data is statistically analyzed, and the water level difference threshold corresponding to the largest proportion of status data is selected as the optimal water level difference threshold.

[0067] Taking the operation data of a sluice gate in a certain area as an example, the time series data of the sluice gate operation is on a 24-hour scale with a time interval of 5 minutes. The data columns include the water level of the inner river, the tide level of the outer river, and the opening status of the sluice gate.

[0068] like Figure 2 and Figure 3As shown, by using a sliding window with a width of 10 to perform a sliding average of the outer river tide level, it is possible to effectively and accurately determine whether the outer river tide level is in the ebb tide period. By using a trial and error method, it is determined that the sluice gate should be opened when the inner river water level is 0.4m higher than the outer river tide level. This method can achieve a good match with the actual sluice gate operation conditions.

[0069] Example 2: A data modeling system for tidal river network sluice gate operation, which is used to implement the data modeling system for tidal river network sluice gate operation described in Example 1, such as... Figure 2 As shown, it includes a preprocessing module, an anomaly handling module, a fluctuation analysis module, a threshold setting module, a model loading module, and a trial calculation analysis module.

[0070] The system comprises several modules: a preprocessing module for denoising the initial external river tide level and performing a moving average of the denoised tide level using different window widths to obtain multiple smoothed results; an anomaly handling module for selecting the smoothed result with the highest matching degree to the initial external river tide level, eliminating abnormal fluctuations in the selected smoothed result to obtain a standard smoothed result, and adding the standard smoothed result as a boundary condition for the external river tide level at the water system outlet to the ICM water quality model; a fluctuation analysis module for analyzing the fluctuation trend of the standard smoothed result by constructing intermediate variables in the Infoworks RTC module of the ICM water quality model to obtain the fluctuation trend result; a threshold setting module for setting a water level difference threshold between the internal and external river tide levels at the same time as the actual gate opening record of the management station; a model loading module for writing the fluctuation trend result and the water level difference threshold as the general rule for gate operation into the Infoworks RTC module for gate opening and closing; and a trial calculation analysis module for using Infoworks... The RTC module performs trial calculations for different water level difference thresholds to determine the optimal water level difference threshold for opening and closing the sluice gate, thus obtaining the final Infoworks RTC module.

[0071] Working Principle: This invention addresses the challenges of fragmented tidal river network sluice gate operation data (containing only the opening and closing times of the sluice gates), large fluctuations in external water levels (two rises and falls per day), and numerous influences from sluice gate operation conditions. Based on the Infoworks RTC module (RTC) in the Infoworks ICM model, it first smooths the external river tidal data and determines the external river tidal ebb process. Simultaneously, it controls the opening and closing of the sluice gates based on the tidal difference between the internal and external rivers, achieving a water quality model operation condition that is as consistent as possible with the actual engineering conditions, thus providing strong support for the subsequent calibration of the hydrodynamic water quality model.

[0072] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0073] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0074] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0075] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0076] The above specific embodiments further illustrate the purpose, technical solution, and beneficial effects of the present invention. It should be understood that the above are merely specific embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for modeling and processing operational data of tidal river network sluice gates, characterized in that, Includes the following steps: The initial external river tide level was preprocessed for noise reduction, and the noise-reduced external river tide level was averaged by different window widths to obtain multiple smooth results. The smoothing result with the highest matching degree with the initial external river tide level is selected, and the selected smoothing result is processed to eliminate abnormal fluctuations to obtain the standard smoothing result. The standard smoothing result is then added to the ICM water quality model as the boundary condition of the external river tide level at the water system outlet. In the Infoworks RTC module of the ICM water quality model, the ebb and flow trend in the standard smoothing results is analyzed by constructing intermediate variables to obtain the ebb and flow trend results; Based on the actual sluice gate opening records of the management station and the tidal data of the inner and outer rivers at the same time, a water level difference threshold of the inner river tidal level being greater than that of the outer river tidal level was initially set when the sluice gate was opened. The results of tidal trends and water level difference thresholds are written into the InfoworksRTC module for the opening and closing of the sluice gate as the general rules for sluice gate operation. By using the Infoworks RTC module to perform trial calculations on different water level difference thresholds, the optimal water level difference threshold for opening and closing the sluice gate is determined, thus obtaining the final Infoworks RTC module. The analysis process for the matching degree of the tidal trend is as follows: The difference in tidal level between adjacent moments is calculated based on the smoothing results to obtain a smoothed tidal state sequence. The initial tidal state sequence is obtained by calculating the difference between tidal levels at adjacent times based on the initial tidal level of the outer river. The highest distribution similarity between the smoothed tidal state sequence and the initial tidal state sequence is used as the tidal trend matching degree.

2. The method for modeling and processing operational data of tidal river network sluice gates according to claim 1, characterized in that, The calculation process for the distribution similarity is as follows: If the difference in tide levels is greater than 0, it is a rising tide, and the sequence value is assigned to 1. If the difference in tide levels is less than 0, it is an ebb tide, and the sequence value is assigned to 0. Compare the sequence values ​​of the smoothed tidal state sequence and the initial tidal state sequence at the same time; if the sequence values ​​are the same, assign a value of 1 to the corresponding time. If the sequence values ​​are different, then assign a value of 0 to the corresponding time step; The cumulative summation of the values ​​assigned at all times is used to calculate the proportion of 1 values, thus obtaining the distribution similarity.

3. The method for modeling and processing operational data of tidal river network sluice gates according to claim 1, characterized in that, The specific process for eliminating abnormal fluctuations in the smoothing results is as follows: Outlier data are selected when the duration of high tide or low tide in the smoothing results is less than the preset time and the corresponding outer river tide level is selected. An interpolation method is used to replace the abnormal data, resulting in a standard smoothed result.

4. The method for modeling and processing operational data of tidal river network sluice gates according to claim 1, characterized in that, The analysis process of the tidal trend is as follows: Construct an intermediate variable and assign the previous outer river tide level to the intermediate variable; Calculate the difference between the outer river tide level and the intermediate variable at the next moment; if the difference is less than 0, it is judged as low tide; if the difference is greater than 0, it is judged as high tide.

5. The method for modeling and processing operational data of tidal river network sluice gates according to claim 1, characterized in that, The process of writing the tidal trend results and water level difference threshold is as follows: Based on the results of tidal trends, water level difference thresholds, and original records of actual sluice gate operation, the actual opening and closing conditions of the sluice gate are generalized into rules. The obtained sluice gate operation rules are incorporated as boundary conditions into the Infoworks RTC module.

6. The method for modeling and processing operational data of tidal river network sluice gates according to claim 1, characterized in that, The process for determining the optimal water level difference threshold is as follows: The Infoworks RTC module is used to calculate the water level difference threshold to obtain the corresponding sluice gate opening status and sluice gate flow status. Perform logical operations and judgments on the sluice gate's open status and flow rate status; The proportion of qualified status data is statistically determined, and the water level difference threshold corresponding to the largest proportion of status data is selected as the optimal water level difference threshold.

7. A data modeling and processing system for the operation of tidal river network sluice gates, characterized in that, A method for modeling and processing operational data of tidal river network sluice gates as described in any one of claims 1-6 includes: The preprocessing module is used to perform noise reduction preprocessing on the initial external river tide level, and to perform moving average on the noise-reduced external river tide level using different window widths to obtain multiple smooth results; The anomaly handling module is used to select the smoothing result with the highest matching degree to the rise and fall tidal trend of the initial external river tidal level, and to obtain the standard smoothing result after anomaly fluctuation elimination processing of the selected smoothing result, and to add the standard smoothing result as the boundary condition of the external river tidal level at the water system outlet to the ICM water quality model. The ebb and flow analysis module is used in the Infoworks RTC module of the ICM water quality model to analyze the ebb and flow trends in the standard smoothing results by constructing intermediate variables, and obtain the ebb and flow trend results. The threshold setting module is used to set the water level difference threshold between the inner and outer river tides at the same time as the actual gate opening record of the management station. The model loading module is used to write the tidal trend results and water level difference threshold as the general rules for sluice gate operation into the Infoworks RTC module for sluice gate opening and closing. The trial calculation and analysis module is used to perform trial calculations on different water level difference thresholds using the Infoworks RTC module to determine the optimal water level difference threshold for opening and closing the sluice gate, thus obtaining the final Infoworks RTC module.

8. A computer terminal comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements a data modeling method for the operation of tidal river network sluice gates as described in any one of claims 1-6.

9. A computer-readable medium having a computer program stored thereon, characterized in that, The computer program, when executed by a processor, can implement a data modeling method for the operation of tidal river network sluice gates as described in any one of claims 1-6.

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