Water conservancy project gate opening and closing intelligent regulation and control system and method

Abstract

The invention relates to the technical field of gate intelligent control, in particular to a water conservancy project gate opening and closing intelligent regulation and control system and method.The method comprises the steps that an irrigation area of a water conservancy project is obtained, a plurality of sub-areas are determined, the water demand quantity of each sub-area is obtained, an irrigation path of each sub-area is determined, and a gate tree diagram of the irrigation area is constructed; determining each node gate and a branch line, performing tree structure analysis on each node gate, and determining a series path of the node gates; performing simulation resistance analysis on the series path of each node gate, determining the resistance coefficient of the series path and calculating the shunt weight of all gates; and carrying out flow constraint on the series path based on the water demand quantity and the shunting weight of the sub-region in the series path. According to the method, the relationship between the flow resistance and the weight of each path is quantitatively analyzed, the gate opening degree is dynamically adjusted in combination with water demand data, and accurate flow distribution and multi-area supply and demand matching are achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent gate control, and in particular to an intelligent control system and method for opening and closing gates of a water conservancy project. Background Art

[0002] In water conservancy and irrigation projects, the intelligent gate control system achieves precise and efficient irrigation management by integrating the Internet of Things, sensors and AI algorithms. The necessity of intelligent control of gate opening and closing is mainly reflected in responding to complex water resource allocation needs and improving system efficiency, so as to meet the water demand of farmland and avoid water waste.

[0003] Chinese invention patent publication number CN118844320A discloses a gate irrigation control system and method. The system involves dividing the irrigation area into plots, collecting crop and soil data for each plot, and calculating the water requirements of each plot. Based on the water requirements and plot coordinates, the plots are clustered using a mean-shift algorithm. The optimal cluster radius is then selected based on the radius fit metric within the clusters. Finally, based on the clustering results and irrigation schedule, the gate opening is determined and adjusted to precisely control water flow and ensure that each plot receives the appropriate amount of irrigation.

[0004] However, with existing technologies, how to conduct dynamic path analysis based on irrigation paths and combined with gate networks has become a difficult problem for accurately controlling local irrigation volume. At the same time, how to conduct a structured analysis of the relationship between gates in irrigation projects, determine the constraint relationship between each gate and flow, and control the gate opening based on the constraint relationship has become a problem that needs to be solved urgently. Summary of the Invention

[0005] The purpose of the present invention is to address the problems existing in the background technology and to propose an intelligent control system and method for the opening and closing of water conservancy project gates.

[0006] The technical solution of the present invention is a method for intelligently controlling the opening and closing of a water conservancy project gate, comprising the following steps:

[0007] Obtain the irrigation area of the water conservancy project, identify multiple sub-areas, and obtain the water demand of each sub-area;

[0008] Determine the irrigation path of each sub-area based on the gate information of the irrigation area, construct an irrigation path set for all sub-areas, perform data analysis on the irrigation path set, and determine the gate tree diagram of the irrigation area;

[0009] Determine each node gate and branch line based on the gate tree diagram, perform tree structure analysis on each node gate, and determine the serial path of the node gates;

[0010] Perform a simulated resistance analysis on the series path of each node gate to determine the resistance coefficient of the series path. Calculate the diversion weight of all gates based on the resistance coefficient results of different series paths under all node gates.

[0011] The flow of the series paths is constrained based on the water demand and diversion weight of the sub-regions in each series path, the water demand constraint conditions of each series path are determined, and the gates are regulated based on the water demand constraint conditions.

[0012] Preferably, the method for performing regional structure analysis on multiple sub-regions of an irrigation area includes:

[0013] Number and mark the gates in the irrigation area and obtain the total gate number, eliminate the total gate number, and generate a total number sequence based on the valve number;

[0014] Obtain an irrigation path for irrigating any sub-region, determine a gate number sequence for irrigating any sub-region based on the irrigation path, and construct a gate number sequence set based on the gate number sequence of each sub-region;

[0015] Interference analysis is performed on the total number sequence and gate number sequence set to determine the branch gates of each gate.

[0016] Preferably, the method for performing interference analysis on the total number sequence and the gate number sequence set includes:

[0017] A random sampling algorithm without replacement is used to randomly select sequence elements of the total number sequence and mark them as global target numbers. The gate number sequence is searched to obtain the gate number sequence containing the global target number and mark it as the selected sequence.

[0018] Preferably, the position of the selected sequence relative to the global target number is obtained and the sequence element at the next position is used as the selected number of the global target number, the selected numbers obtained in all selected sequences of the global target number are unioned to obtain a branch number set of the global target number, and the global target number mark of the second sequence element of the random number sequence is canceled;

[0019] Eliminate the global target number, update the total number sequence, and sequentially obtain the branch number set of the global target number in the total number sequence using the same interference analysis method as above until the total number sequence is empty;

[0020] Obtain a branch number set for each number; and construct a gate dendrogram according to the branch number set for each number.

[0021] Preferably, the method for performing tree structure analysis on each node gate includes:

[0022] The irrigation path formed by two adjacent gates on the same branch line is defined as a series path, and the series path that generates a branch line at the node gate is added with a parallel path label.

[0023] Preferably, the method for simulating resistance analysis of the series path of each node gate includes:

[0024] The first gate on each series path is labeled as the series input gate, and the second gate is labeled as the series output gate.

[0025] The resistance coefficient of each series path is calculated using the following formula:

[0026]

[0027] Where R is the resistance coefficient of the series path; F in is the flow of the series input gate; O is the gate opening of the series path; F out is the series output gate flow;.

[0028] Preferably, the resistance coefficients of the series paths with the parallel relationship labels are obtained respectively, the resistance coefficients of the series paths with the parallel relationship labels are summed to obtain the total resistance of the parallel relationship, the resistance coefficients of the series paths are calculated as a ratio to the total resistance of the parallel relationship to obtain the shunt weight of each series path, and the shunt coefficients of each series path are normalized so that the sum of the shunt coefficients of the series paths with the parallel relationship labels is 1;

[0029] The diversion weight of the series output gate is constructed based on the diversion coefficients of different series paths under each node gate.

[0030] Preferably, the method for constraining the flow of the series paths based on the water demand and diversion weight of the sub-regions in each series path is:

[0031] F total ·Π i α i ·t≥∑ j N j ;

[0032] Where, F total is the total gate flow; α i is the diversion weight of the series output gate contained in the irrigation line, i is the number of the series output gate in the irrigation line, i is a positive integer; t is the total irrigation time; N j is the water demand of the sub-area included in the irrigation line, j is the number of the sub-area included in the irrigation line, and j is a positive integer;

[0033] The opening of the gate on each series path is controlled based on the flow constraint.

[0034] The present invention also discloses an intelligent control system for opening and closing gates of a water conservancy project, which applies the above-mentioned intelligent control method for opening and closing gates of a water conservancy project, specifically comprising:

[0035] The data acquisition module is used to obtain the irrigation area of the water conservancy project, determine multiple sub-areas, and obtain the water demand of each sub-area;

[0036] A tree diagram construction module is used to determine the irrigation path of each sub-area based on the gate information of the irrigation area, construct an irrigation path set for all sub-areas, perform data analysis on the irrigation path set, and determine the gate tree diagram of the irrigation area;

[0037] The structural analysis module is used to determine each node gate and branch line according to the gate tree diagram, perform tree structure analysis on each node gate, and determine the serial path of the node gates;

[0038] The shunt weight calculation module is used to simulate the resistance analysis of the series path of each node gate, determine the resistance coefficient of the series path, and calculate the shunt weight of all gates based on the resistance coefficient results of different series paths under all node gates;

[0039] The flow constraint control module is used to constrain the flow of the series path based on the water demand and diversion weight of the sub-area in each series path, determine the water demand constraint conditions of each series path, and control the gate based on the water demand constraint conditions.

[0040] Compared with the prior art, the above technical solution of the present invention has the following beneficial technical effects:

[0041] The present invention quantitatively analyzes the relationship between the flow resistance and weight of each path, dynamically adjusts the gate opening based on water demand data, and achieves precise flow distribution and multi-regional supply and demand matching; random sampling and interference analysis are used to optimize the efficiency of gate structure analysis, and the gate opening is dynamically controlled through the flow constraint formula to achieve precise matching of water demands in multiple sub-regions. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a block diagram of the method of embodiment 1 proposed by the present invention;

[0043] Figure 2 This is the gate tree diagram of the second embodiment proposed by the present invention. DETAILED DESCRIPTION

[0044] Example 1, as Figure 1 As shown, the present invention proposes an intelligent control method for opening and closing a water conservancy project gate, comprising the following steps:

[0045] Obtain the irrigation area of the water conservancy project, identify multiple sub-areas, and obtain the water demand of each sub-area;

[0046] Determine the irrigation path of each sub-area based on the gate information of the irrigation area, construct an irrigation path set for all sub-areas, perform data analysis on the irrigation path set, and determine the gate tree diagram of the irrigation area;

[0047] Methods for regional structural analysis of multiple sub-regions of an irrigation area include:

[0048] Number and mark the gates in the irrigation area and obtain the total gate number, eliminate the total gate number, and generate a total number sequence based on the valve number;

[0049] For example, the gate numbers include (1, 2, 3, 4, 5, 6). If gate 1 is set as the main gate, the total number sequence is {2, 3, 4, 5, 6};

[0050] Obtain an irrigation path for irrigating any sub-region, determine a gate number sequence for irrigating any sub-region based on the irrigation path, and construct a gate number sequence set based on the gate number sequence of each sub-region;

[0051] Perform interference analysis on the total number sequence and gate number sequence set to determine the branch gates of each gate, specifically:

[0052] A random sampling algorithm without replacement is used to randomly select sequence elements of the total number sequence and mark them as global target numbers. The gate number sequence is searched to obtain the gate number sequence containing the global target number and mark it as the selected sequence.

[0053] Obtain the position of the selected sequence relative to the global target number and use the sequence element at the next position as the selected number of the global target number. Calculate the union of the selected numbers obtained from all selected sequences of the global target number to obtain the branch number set of the global target number. Undo the global target number mark of the second sequence element of the random number sequence.

[0054] Eliminate the global target number, update the total number sequence, and sequentially obtain the branch number set of the global target number in the total number sequence using the same interference analysis method as above until the total number sequence is empty;

[0055] For example, the irrigation paths of sub-area 1 are 1, 2, 4, and 6; the irrigation paths of sub-area 2 are 1, 2, and 5; and the irrigation paths of sub-area 3 are 1, 2, 4, and 7.

[0056] Then the branch number set of global target number 2 is (4, 5);

[0057] Then the global target number is 4, and its branch number set is (6, 7);

[0058] Obtain a branch number set for each number; construct a gate dendrogram based on the branch number set for each number;

[0059] Determine each node gate and branch line based on the gate tree diagram, perform tree structure analysis on each node gate, and determine the serial path of the node gates;

[0060] The methods for performing tree structure analysis on each node gate include:

[0061] The irrigation path formed by two adjacent gates on the same branch line is defined as a series path, and the series path where the node gate generates a branch line is labeled as a parallel path.

[0062] Perform a simulated resistance analysis on the series path of each node gate to determine the resistance coefficient of the series path. Calculate the diversion weight of all gates based on the resistance coefficient results of different series paths under all node gates.

[0063] The method for simulating the resistance analysis of the series path of each node gate includes:

[0064] The first gate on each series path is labeled as the series input gate, and the second gate is labeled as the series output gate.

[0065] For example, for the series path (2, 4), the series input gate is gate 2, and the series output gate is gate 4;

[0066] The resistance coefficient of each series path is calculated using the following formula:

[0067]

[0068] Where R is the resistance coefficient of the series path; F in is the flow of the series input gate; O is the gate opening of the series path; F out It is to output the gate flow in series; it should be noted that the gate opening can be calculated by the ratio of the gate height to the maximum height, or by the ratio of the gate rotation angle to the maximum rotation angle, which indicates the degree of opening of the gate. The details will not be elaborated in detail.

[0069] Obtaining the resistance coefficients of the series paths with the parallel relationship labels respectively, summing the resistance coefficients of the series paths with the parallel relationship labels to obtain the total resistance of the parallel relationship, calculating the ratio of the resistance coefficients of the series paths to the total resistance of the parallel relationship to obtain the shunt weight of each series path, and normalizing the shunt coefficients of each series path so that the sum of the shunt coefficients of the series paths with the parallel relationship labels is 1;

[0070] The diversion weight of the series output gate is constructed based on the diversion coefficients of different series paths under each node gate;

[0071] Based on the water demand and diversion weight of each series path, the flow constraint of the series path is imposed, and the water demand constraint condition of each series path is determined;

[0072] The method for constraining the flow of series paths based on the water demand of the sub-regions and the diversion weight in each series path is:

[0073] F total ·Π i α i ·t≥∑ j N j ;

[0074] Where, F total is the total gate flow; α i is the diversion weight of the series output gate contained in the irrigation line, i is the number of the series output gate in the irrigation line, i is a positive integer; t is the total irrigation time; N j is the water demand of the sub-area included in the irrigation line, j is the number of the sub-area included in the irrigation line, and j is a positive integer;

[0075] The opening of the gate on each series path is controlled based on the flow constraint.

[0076] Example 2, as Figure 2 As shown, based on a gate tree diagram in Example 1, the node gates are gate 2 and gate 4, and the branch paths corresponding to node gate 2 are (2, 4, 6), (2, 4, 7) and (2, 5); the branch paths corresponding to node gate 4 are (4, 6) and (4, 7);

[0077] Among them, the irrigation paths (2, 4), (2, 5), (4, 6) and (4, 7) are all series paths, and the irrigation paths (2, 4) and (2, 5) are both added with parallel relationship tags; the irrigation paths (4, 6) and (4, 7) are both added with parallel relationship tags;

[0078] In a third embodiment, the present invention proposes an intelligent control system for opening and closing a water conservancy project gate, which is applied to the intelligent control method for opening and closing a water conservancy project gate proposed in the first embodiment, and specifically includes:

[0079] The data acquisition module is used to obtain the irrigation area of the water conservancy project, determine multiple sub-areas, and obtain the water demand of each sub-area;

[0080] A tree diagram construction module is used to determine the irrigation path of each sub-area based on the gate information of the irrigation area, construct an irrigation path set for all sub-areas, perform data analysis on the irrigation path set, and determine the gate tree diagram of the irrigation area;

[0081] The structural analysis module is used to determine each node gate and branch line according to the gate tree diagram, perform tree structure analysis on each node gate, and determine the serial path of the node gates;

[0082] The shunt weight calculation module is used to simulate the resistance analysis of the series path of each node gate, determine the resistance coefficient of the series path, and calculate the shunt weight of all gates based on the resistance coefficient results of different series paths under all node gates;

[0083] The flow constraint control module is used to constrain the flow of the series path based on the water demand and diversion weight of the sub-area in each series path, determine the water demand constraint conditions of each series path, and control the gate based on the water demand constraint conditions.

[0084] The embodiments of the present invention are described in detail above with reference to the accompanying drawings, but the present invention is not limited thereto. Various changes can be made within the scope of knowledge possessed by those skilled in the art without departing from the spirit of the present invention.

Claims

1. An intelligent control method for opening and closing gates in a water conservancy project, characterized in that: The following steps are involved: Obtain the irrigation area of the water conservancy project, identify multiple sub-areas, and obtain the water demand of each sub-area; Determine the irrigation path of each sub-area based on the gate information of the irrigation area, construct an irrigation path set for all sub-areas, perform data analysis on the irrigation path set, and determine the gate tree diagram of the irrigation area; Determine each node gate and branch line based on the gate tree diagram, perform tree structure analysis on each node gate, and determine the serial path of the node gates; Perform a simulated resistance analysis on the series path of each node gate to determine the resistance coefficient of the series path. Calculate the diversion weight of all gates based on the resistance coefficient results of different series paths under all node gates. The flow of the series paths is constrained based on the water demand and diversion weight of the sub-regions in each series path, the water demand constraint conditions of each series path are determined, and the gates are regulated based on the water demand constraint conditions.

2. The intelligent control method for opening and closing of a water conservancy project gate according to claim 1 is characterized in that: Methods for regional structural analysis of multiple sub-regions of an irrigation area include: Number and mark the gates in the irrigation area and obtain the total gate number, eliminate the total gate number, and generate a total number sequence based on the valve number; Obtain an irrigation path for irrigating any sub-region, determine a gate number sequence for irrigating any sub-region based on the irrigation path, and construct a gate number sequence set based on the gate number sequence of each sub-region; Interference analysis is performed on the total number sequence and gate number sequence set to determine the branch gates of each gate.

3. The intelligent control method for opening and closing of a water conservancy project gate according to claim 2 is characterized in that: The methods for performing interference analysis on the total number sequence and gate number sequence set include: A random sampling algorithm without replacement is used to randomly select sequence elements of the total number sequence and mark them as global target numbers. The gate number sequence is searched to obtain the gate number sequence containing the global target number and mark it as the selected sequence.

4. The intelligent control method for opening and closing of a water conservancy project gate according to claim 3 is characterized in that: Obtain the position of the selected sequence relative to the global target number and use the sequence element at the next position as the selected number of the global target number. Calculate the union of the selected numbers obtained from all selected sequences of the global target number to obtain the branch number set of the global target number. Undo the global target number mark of the second sequence element of the random number sequence. Eliminate the global target number, update the total number sequence, and sequentially obtain the branch number set of the global target number in the total number sequence using the same interference analysis method as above until the total number sequence is empty; Obtain a branch number set for each number; and construct a gate dendrogram according to the branch number set for each number.

5. The intelligent control method for opening and closing of a water conservancy project gate according to claim 4 is characterized in that: The methods for performing tree structure analysis on each node gate include: The irrigation path formed by two adjacent gates on the same branch line is defined as a series path, and the series path that generates a branch line at the node gate is added with a parallel path label.

6. The method for intelligently controlling the opening and closing of a water conservancy project gate according to claim 5, characterized in that: The method for simulating resistance analysis of the connection structure network of each node gate includes: The first gate on each series path is labeled as the series input gate, and the second gate is labeled as the series output gate. The resistance coefficient of each series path is calculated using the following formula: Where R is the resistance coefficient of the series path; F in is the flow of the series input gate; O is the gate opening of the series path; F out is the series output gate flow.

7. The intelligent control method for opening and closing of a water conservancy project gate according to claim 6 is characterized in that: Obtaining the resistance coefficients of the series paths with the parallel relationship labels respectively, summing the resistance coefficients of the series paths with the parallel relationship labels to obtain the total resistance of the parallel relationship, calculating the ratio of the resistance coefficients of the series paths to the total resistance of the parallel relationship to obtain the shunt weight of each series path, and normalizing the shunt coefficients of each series path so that the sum of the shunt coefficients of the series paths with the parallel relationship labels is 1; The diversion weight of the series output gate is constructed based on the diversion coefficients of different series paths under each node gate.

8. The intelligent control method for opening and closing of a water conservancy project gate according to claim 7 is characterized in that: The method for constraining the flow of series paths based on the water demand of the sub-regions and the diversion weight in each series path is: F total ·P i a i ·t≥∑ j N j ; Where, F total is the total gate flow; α i is the diversion weight of the series output gate contained in the irrigation line, i is the number of the series output gate in the irrigation line, i is a positive integer; t is the total irrigation time; N j is the water demand of the sub-area included in the irrigation line, j is the number of the sub-area included in the irrigation line, and j is a positive integer; The opening of the gate on each series path is controlled based on the flow constraint.

9. An intelligent control system for opening and closing of a water conservancy project gate, applied to an intelligent control method for opening and closing of a water conservancy project gate according to any one of claims 1 to 8, characterized in that: Specifically include: The data acquisition module is used to obtain the irrigation area of the water conservancy project, determine multiple sub-areas, and obtain the water demand of each sub-area; A tree diagram construction module is used to determine the irrigation path of each sub-area based on the gate information of the irrigation area, construct an irrigation path set for all sub-areas, perform data analysis on the irrigation path set, and determine the gate tree diagram of the irrigation area; The structural analysis module is used to determine each node gate and branch line according to the gate tree diagram, perform tree structure analysis on each node gate, and determine the serial path of the node gates; The shunt weight calculation module is used to simulate the resistance analysis of the series path of each node gate, determine the resistance coefficient of the series path, and calculate the shunt weight of all gates based on the resistance coefficient results of different series paths under all node gates; The flow constraint control module is used to constrain the flow of the series path based on the water demand and diversion weight of the sub-area in each series path, determine the water demand constraint conditions of each series path, and control the gate based on the water demand constraint conditions.

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