Optimization method, system and equipment for arranging height of discharge port overflow weir and storage medium
By obtaining and processing the analytical index data under different rainfall and overflow weir height conditions, calculating the comprehensive score index, and determining the optimal layout height of the overflow weir, the contradiction between urban overflow pollution and waterlogging control is solved, and a more scientific and effective implementation is achieved. The overflow weir is arranged at a high height.
Patent Information
- Application Number
- CN202411159028.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-08-22
- Publication Date
- 2025-01-21
- Estimated Expiration
- Not applicable · inactive patent
AI Technical Summary
The existing technology is difficult to effectively resolve the contradiction between urban overflow pollution control and flood control, resulting in average governance effect.
By obtaining the original data of analysis indicators under different rainfall and overflow weir height conditions, standardization processing and weight calculation are performed, the comprehensive score index is calculated, and the optimal layout height of the overflow weir is determined.
It provides scientific basis and guiding significance, improves the layout effect of overflow weir height at urban pipeline outlets, and solves the contradiction between urban overflow pollution and waterlogging control.
Smart Images

Figure CN119337443A_ABST
Abstract
Description
Technical Field
[0001] The present invention belongs to the technical field of urban drainage system reconstruction and optimization, and specifically relates to an optimization method, system, equipment and storage medium for arranging the height of a discharge overflow weir. Background Art
[0002] In recent years, with the rise in global temperatures, the number of warm and humid air currents has continued to increase, and the frequency of extreme rainstorms has become increasingly high, resulting in poor operation of urban drainage systems, and frequent urban waterlogging and waterlogging problems. At the same time, the contribution of urban overflow pollution to water pollution has become increasingly prominent. Overflow sewage contains a variety of pollutants with high concentrations and strong impact, posing a serious threat to the quality of urban water environment. Therefore, the control of waterlogging and overflow pollution is imminent.
[0003] However, there is a certain contradiction between urban overflow pollution control and waterlogging control: overflow pollution control requires the drainage system to discharge less and slowly, so that sewage can be retained in the pipes; waterlogging control requires the drainage system to discharge more and faster, so that the accumulated water in the pipes can be discharged as much as possible and the pipe storage space can be increased. As a result, most existing technologies cannot solve the contradiction between urban overflow pollution control and waterlogging control, and often lose sight of one while focusing on the other, resulting in mediocre control effects and failure to solve practical problems.
[0004] Overflow weirs are currently a commonly used interception method for urban rainwater outlets. Their height layout is particularly important for urban overflow pollution control and urban waterlogging control. Summary of the invention
[0005] The purpose of the present invention is to overcome the deficiencies in the prior art and to provide an optimization method, system, equipment and storage medium for arranging the height of an overflow weir at an outlet. By optimizing the height of the overflow weir, the contradiction between urban overflow pollution control and urban waterlogging control is solved, and a scientific basis and guiding significance are provided for the arrangement of the height of the overflow weir at an urban pipeline outlet.
[0006] The present invention provides the following technical solutions:
[0007] In a first aspect, a method for optimizing the height of an overflow weir at an outlet is provided, comprising: obtaining predetermined analysis indicators and raw data of the analysis indicators under different rainfall and overflow weir height conditions; standardizing the raw data of the analysis indicators to obtain standard data of the analysis indicators, and screening the maximum and minimum values corresponding to each analysis indicator in the standard data; calculating the weight of each analysis indicator according to the standard data; calculating a comprehensive score index based on the maximum and minimum values and weights corresponding to each analysis indicator; and determining the layout height of the overflow weir based on the comprehensive score index.
[0008] As an optional technical solution of the present invention, the analysis indicators include overflow reduction rate, overflow load reduction rate, water accumulation depth and water accumulation area.
[0009] As an optional technical solution of the present invention, the raw data of the analysis index is standardized to obtain the standard data of the analysis index, including: dividing the analysis index into positive index and negative index; the positive index includes overflow reduction rate and overflow load reduction rate, and the negative index includes water accumulation depth and water accumulation area;
[0010] The original data of the positive indicators and the negative indicators are respectively standardized;
[0011] The normalized processing of the original data of the positive indicator is expressed as:
[0012] ;
[0013] The normalized processing of the original data of the negative indicator is expressed as:
[0014] ;
[0015] in, represents the standard data of the jth analysis indicator of the i-th analysis object, represents the original data of the jth analysis indicator of the i-th analysis object, Indicates the maximum value of the original data of the jth analysis indicator among all analysis objects, Indicates the minimum value of the original data of the j-th analysis indicator among all analysis objects.
[0016] As an optional technical solution of the present invention, the maximum value and the minimum value corresponding to each analysis indicator in the screening standard data include: Filter the standard data of the jth analysis indicator in all analysis objects and count the maximum value as , the minimum value is .
[0017] As an optional technical solution of the present invention, the step of calculating the weight of each analysis index according to the standard data includes: Calculate the information entropy value of the j-th analysis index according to the standard data , expressed as: ; Where n represents the total number of analysis objects, k represents a constant, ; The information utility value of the jth analysis indicator , expressed as: ; The weight of the jth analysis indicator , expressed as: ; Where m represents the total number of analysis indicators.
[0018] As an optional technical solution of the present invention, the comprehensive score index is calculated based on the maximum value, minimum value and weight corresponding to each analysis indicator, including: Calculate the maximum value of the i-th analysis object The distance is expressed as: ; Calculate the minimum value of the i-th analysis object The distance is expressed as: ; The composite score index It is expressed as: .
[0019] In a second aspect, a system for optimizing the height of a discharge weir is provided, comprising:
[0020] A raw data acquisition module, used to acquire the raw data of the predetermined analysis index and the analysis index under different rainfall and overflow weir height conditions;
[0021] A standardization processing module is used to standardize the raw data of the analysis indicators to obtain standard data of the analysis indicators, and to screen the maximum and minimum values corresponding to each analysis indicator in the standard data;
[0022] A weight calculation module, used to calculate the weight of each analysis indicator according to the standard data;
[0023] A comprehensive score index calculation module is used to calculate the comprehensive score index based on the maximum and minimum values and weights corresponding to each analysis indicator;
[0024] A scheme determination module is used to determine the arrangement height of the overflow weir based on the comprehensive score index.
[0025] In a third aspect, a device is provided, comprising: a memory, a processor, and a computer program;
[0026] The computer program is stored in the memory and is configured to be executed by the processor to implement the method as described in the first aspect.
[0027] According to a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the method described in the first aspect is implemented.
[0028] Compared with the prior art, the present invention has the following beneficial effects:
[0029] The present invention provides an optimization method for arranging the height of the overflow weir at the discharge outlet, which obtains the original data of the analysis indicators under different rainfall and overflow weir height conditions, calculates a comprehensive score index based on the original data, and more comprehensively and objectively considers the influence of the overflow weir height under different sub-conditions, thereby determining its optimization scheme, providing a scientific basis and guiding significance for the arrangement of the overflow weir height of the urban pipeline discharge outlet, and resolving the contradiction between urban overflow pollution and urban waterlogging control. BRIEF DESCRIPTION OF THE DRAWINGS
[0030] Figure 1 It is a flow chart of an optimization method for arranging the height of a discharge overflow weir in an embodiment of the present invention. DETAILED DESCRIPTION
[0031] The present invention will be further described below in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and cannot be used to limit the protection scope of the present invention.
[0032] Example 1
[0033] This embodiment provides an optimization method for arranging the height of the overflow weir at the discharge port, such as Figure 1 As shown, the specific steps include:
[0034] Step 1: Obtain the predetermined analysis indicators and the original data of the analysis indicators under different rainfall and overflow weir height conditions.
[0035] Specifically, the analysis indicators include overflow reduction rate, overflow load reduction rate, water accumulation depth and water accumulation area.
[0036] In this embodiment, the urban drainage model constructed by Infoworks ICM software is used to simulate the original data of the analysis indicators under different rainfall and overflow weir height conditions. A certain area is taken as the target area, and the rainfall in this area is mostly moderate to heavy rain throughout the year. Therefore, three design rainfalls are selected for simulation when simulating the urban drainage model, namely moderate rain, heavy rain and heavy rain. At the same time, the overflow weir height is taken as the analysis object, and its proportion to the current pipe diameter is taken. Every 5% of the pipe diameter height is set as a working condition, and the maximum is 75% of the pipe diameter. The original data of the overflow reduction rate, overflow load reduction rate, water accumulation depth and water accumulation area under different rainfall and overflow weir height conditions are simulated by the urban drainage model, as shown in Table 1-3.
[0037] Table 1 Original data table of analysis indicators of different overflow weir heights under moderate rain conditions
[0038] Weir height Overflow reduction rate Overflow load reduction rate Water depth Waterlogged area 5% pipe diameter 0.11% 0.11% 0.00 0.00 10% pipe diameter 0.25% 0.39% 0.00 0.00 15% pipe diameter 0.40% 0.74% 0.00 0.00 20% pipe diameter 0.89% 1.85% 0.00 0.00 25% pipe diameter 1.28% 2.76% 0.00 0.00 30% pipe diameter 2.08% 4.00% 0.02 20.82 35% pipe diameter 2.67% 5.00% 0.02 151.61 40% pipe diameter 4.45% 5.66% 0.14 566.27 45% pipe diameter 6.30% 8.88% 0.18 954.06 50% pipe diameter 8.74% 12.64% 0.40 1347.33 55% pipe diameter 10.74% 15.46% 0.42 1652.26 60% pipe diameter 13.34% 19.75% 0.49 2229.77 65% pipe diameter 15.82% 23.43% 0.56 2486.90 70% pipe diameter 18.43% 27.93% 0.62 2187.97 75% pipe diameter 21.12% 31.79% 0.69 2283.65
[0039] Table 2 Original data table of analysis indicators of different overflow weir heights under heavy rain conditions
[0040] Weir height Overflow reduction rate Overflow load reduction rate Water depth Waterlogged area 5% pipe diameter 1.15% 0.54% 1.00 5690.68 10% pipe diameter 0.88% 1.01% 1.02 5680.59 15% pipe diameter 2.15% 1.56% 1.02 6251.20 20% pipe diameter 4.64% 2.19% 1.03 5842.85 25% pipe diameter 6.19% 2.92% 1.03 5689.13 30% pipe diameter 7.44% 3.83% 1.04 6001.11 35% pipe diameter 9.25% 4.95% 1.04 6254.41 40% pipe diameter 12.43% 6.80% 1.05 6602.20 45% pipe diameter 15.50% 8.89% 1.06 6475.59 50% pipe diameter 20.16% 11.76% 1.14 6758.52 55% pipe diameter 21.76% 13.49% 1.17 7205.07 60% pipe diameter 26.55% 16.08% 1.22 7181.04 65% pipe diameter 30.32% 18.67% 1.28 7308.95 70% pipe diameter 33.10% 21.33% 1.34 7387.02 75% pipe diameter 35.12% 24.02% 1.40 7529.21
[0041] Table 3 Original data table of analysis indicators of different overflow weir heights under heavy rain conditions
[0042] Weir height Overflow reduction rate Overflow load reduction rate Water depth Waterlogged area 5% pipe diameter 0.75% 0.82% 1.57 10242.23 10% pipe diameter 2.00% 1.47% 1.59 10022.61 15% pipe diameter 3.18% 2.15% 1.60 11195.82 20% pipe diameter 4.94% 2.93% 1.62 10057.45 25% pipe diameter 6.60% 3.78% 1.64 9557.75 30% pipe diameter 9.09% 4.82% 1.67 10036.76 35% pipe diameter 11.68% 6.05% 1.69 10579.39 40% pipe diameter 15.43% 7.86% 1.73 10678.49 45% pipe diameter 18.33% 9.93% 1.76 10117.88 50% pipe diameter 22.04% 13.19% 1.83 10757.41 55% pipe diameter 24.65% 14.48% 1.85 11318.23 60% pipe diameter 26.83% 17.11% 1.89 11231.99 65% pipe diameter 28.52% 19.42% 1.91 12511.05 70% pipe diameter 29.50% 21.66% 1.93 12641.47 75% pipe diameter 32.07% 24.05% 1.94 13165.58
[0043] Step 2: Standardize the original data of the analysis indicators to obtain standard data of the analysis indicators, and select the maximum and minimum values corresponding to each analysis indicator in the standard data. Specifically including:
[0044] 2.1. Divide the analysis indicators into positive indicators and negative indicators.
[0045] Specifically, the larger the positive index is, the better, and the smaller the negative index is, the better. Therefore, the positive index includes the overflow reduction rate and the overflow load reduction rate, and the negative index includes the water accumulation depth and the water accumulation area.
[0046] 2.2. The original data of the positive and negative indicators are standardized to eliminate the influence of the dimensions of each indicator.
[0047] The normalized processing of the original data of the positive indicator is expressed as:
[0048] ;
[0049] The normalized processing of the original data of the negative indicator is expressed as:
[0050] ;
[0051] in, represents the standard data of the jth analysis indicator of the i-th analysis object, represents the original data of the jth analysis indicator of the i-th analysis object, Indicates the maximum value of the original data of the jth analysis indicator among all analysis objects, Indicates the minimum value of the original data of the j-th analysis indicator among all analysis objects.
[0052] In this embodiment, the analysis object is different overflow weir heights.
[0053] The standard data of analysis indicators under different rainfall and overflow weir height conditions are shown in Table 4-6.
[0054] Table 4 Standard data table of analysis indicators under moderate rain conditions at different overflow weir heights
[0055] Weir height Overflow reduction rate Overflow load reduction rate Water depth Waterlogged area 5% pipe diameter 0 0 1 1 10% pipe diameter 0.0069 0.0090 1 1 15% pipe diameter 0.0140 0.0199 1 1 20% pipe diameter 0.0374 0.0550 1 1 25% pipe diameter 0.0561 0.0836 1 1 30% pipe diameter 0.0349 0.0365 0.9782 0.9916 35% pipe diameter 0.1219 0.1545 0.9782 0.9390 40% pipe diameter 0.2068 0.1753 0.7933 0.7723 45% pipe diameter 0.2948 0.2767 0.7395 0.6164 50% pipe diameter 0.4108 0.3955 0.4134 0.4582 55% pipe diameter 0.5061 0.4847 0.3902 0.3356 60% pipe diameter 0.6298 0.6199 0.2912 0.1034 65% pipe diameter 0.7478 0.7363 0.1891 0 70% pipe diameter 0.8719 0.8781 0.0923 0.1202 75% pipe diameter 1 1 0 0.0817
[0056] Table 5 Standard data table of analysis indicators under heavy rain conditions at different overflow weir heights
[0057] Weir height Overflow reduction rate Overflow load reduction rate Water depth Waterlogged area 5% pipe diameter 0.0077 0 1 0.9945 10% pipe diameter 0 0.0203 0.9671 1 15% pipe diameter 0.0370 0.0434 0.9468 0.6913 20% pipe diameter 0.1098 0.0704 0.9342 0.9122 25% pipe diameter 0.1551 0.1017 0.9215 0.9954 30% pipe diameter 0.0403 0.0378 0.9088 0.8266 35% pipe diameter 0.2445 0.1881 0.8962 0.6896 40% pipe diameter 0.3373 0.2669 0.8835 0.5015 45% pipe diameter 0.4271 0.3555 0.8455 0.5699 50% pipe diameter 0.5632 0.4779 0.6607 0.4169 55% pipe diameter 0.6099 0.5516 0.5873 0.1753 60% pipe diameter 0.7498 0.6620 0.4430 0.1883 65% pipe diameter 0.8598 0.7719 0.2930 0.1191 70% pipe diameter 0.9412 0.8853 0.1491 0.0769 75% pipe diameter 1 1 0 0.0000
[0058] Table 6 Standard data table of analysis indicators under heavy rain conditions at different overflow weir heights
[0059] Weir height Overflow reduction rate Overflow load reduction rate Water depth Waterlogged area 5% pipe diameter 0 0 1 0.8103 10% pipe diameter 0.0399 0.0283 0.9568 0.8712 15% pipe diameter 0.0776 0.0574 0.9054 0.5460 20% pipe diameter 0.1338 0.0908 0.8540 0.8615 25% pipe diameter 0.1866 0.1275 0.8000 1.00 30% pipe diameter 0.0946 0.0458 0.7405 0.8672 35% pipe diameter 0.3489 0.2252 0.6729 0.7168 40% pipe diameter 0.4686 0.3034 0.5702 0.6894 45% pipe diameter 0.5613 0.3921 0.4837 0.8447 50% pipe diameter 0.6796 0.5327 0.2999 0.6675 55% pipe diameter 0.7631 0.5883 0.2304 0.5120 60% pipe diameter 0.8326 0.7011 0.1397 0.5359 65% pipe diameter 0.8865 0.8007 0.0768 0.1814 70% pipe diameter 0.9180 0.8973 0.0352 0.1453 75% pipe diameter 1 1 0 0
[0060] 2.3. The maximum and minimum values corresponding to each analysis indicator in the screening standard data.
[0061] Specifically, filter the standard data of the jth analysis indicator in all analysis objects and count the maximum value as , the minimum value is .
[0062] Step 3: Calculate the weight of each analysis indicator based on the standard data.
[0063] Specifically, the information entropy value of the jth analysis indicator is calculated according to the standard data: , expressed as:
[0064] ;
[0065] Where n represents the total number of analysis objects, k represents a constant, .
[0066] The information utility value of the jth analysis indicator , expressed as:
[0067] .
[0068] The weight of the jth analysis indicator , expressed as:
[0069] ;
[0070] Where m represents the total number of analysis indicators.
[0071] The weights obtained by the TOPSIS method are more in line with the needs of actual engineering applications and avoid the problem of unreasonable optimization results caused by imbalance of objective weights.
[0072] The information entropy value, information utility value and weight of each analysis indicator under different rainfall and overflow weir height conditions are shown in Table 7-9.
[0073] Table 7 Information entropy value, information utility value and weight of each index under moderate rain conditions
[0074] Analytical indicators Information entropy Information utility value Weight(%) Overflow reduction rate 0.867 0.133 29.539 Overflow load reduction rate 0.85 0.15 33.305 Water depth 0.946 0.054 11.977 Waterlogged area 0.887 0.113 25.178
[0075] Table 8 Information entropy value, information utility value and weight of each indicator under heavy rain conditions
[0076] Analytical indicators Information entropy Information utility value Weight(%) Overflow reduction rate 0.894 0.106 25.111 Overflow load reduction rate 0.866 0.134 31.876 Water depth 0.889 0.111 26.463 Waterlogged area 0.93 0.07 16.55
[0077] Table 9 Information entropy value, information utility value and weight of each indicator under heavy rain conditions
[0078] Analytical indicators Information entropy Information utility value Weight(%) Overflow reduction rate 0.867 0.133 29.539 Overflow load reduction rate 0.85 0.15 33.305 Water depth 0.946 0.054 11.977 Waterlogged area 0.887 0.113 25.178
[0079] Step 4: Based on the maximum and minimum values and weights corresponding to each analysis indicator, calculate the comprehensive score index.
[0080] Specifically, calculate the maximum value of the i-th analysis object The distance, as a positive ideal distance, is expressed as:
[0081] ;
[0082] Calculate the minimum value of the i-th analysis object The distance, as the negative ideal distance, is expressed as:
[0083] ;
[0084] Further, and They represent the distance between the analysis object and the optimal or worst solution respectively. The larger the value, the farther the distance. The larger the value, the farther away from the optimal solution; The larger the value, the farther away from the worst solution. The most ideal analysis object is The smaller the value, the The larger the value.
[0085] The composite score index It is expressed as:
[0086] .
[0087] Step 5: Determine the layout height of the overflow weir based on the comprehensive score index.
[0088] The ranking under different rainfall and overflow weir height conditions is shown in Table 10-12.
[0089] Table 10 Ranking table of different overflow weir heights under moderate rain conditions
[0090] Weir height Positive ideal solution distance (D+) Negative ideal solution distance (D-) Comprehensive score index Sorting 5% pipe diameter 0.79003082 0.60731529 0.43462052 12 10% pipe diameter 0.78521125 0.60411783 0.43482703 11 15% pipe diameter 0.77916564 0.4798215 0.38111708 15 20% pipe diameter 0.72950431 0.56617946 0.43697349 10 25% pipe diameter 0.70080268 0.60218942 0.46215892 7 30% pipe diameter 0.67932044 0.53719566 0.44158533 9 35% pipe diameter 0.65618037 0.49409981 0.42954735 13 40% pipe diameter 0.62789055 0.4572598 0.42137921 14 45% pipe diameter 0.55597784 0.50331233 0.47514113 6 50% pipe diameter 0.51975509 0.49779465 0.48920915 5 55% pipe diameter 0.57043562 0.48587666 0.45997445 8 60% pipe diameter 0.52391046 0.55279076 0.51341148 4 65% pipe diameter 0.53163309 0.61202964 0.53514871 3 70% pipe diameter 0.54539318 0.67173253 0.5519007 2 75% pipe diameter 0.58802495 0.72865204 0.55340227 1
[0091] Table 11 Ranking table of different overflow weir heights under heavy rain conditions
[0092] Weir height Positive ideal solution distance (D+) Negative ideal solution distance (D-) Comprehensive score index Sorting 5% pipe diameter 0.75854955 0.61248952 0.44673382 14 10% pipe diameter 0.73323039 0.60861081 0.45356396 13 15% pipe diameter 0.7314504 0.52237767 0.41662624 15 20% pipe diameter 0.68318105 0.57061576 0.45511024 12 25% pipe diameter 0.65388508 0.59147713 0.47494386 8 30% pipe diameter 0.62004938 0.54637733 0.46841977 10 35% pipe diameter 0.59211492 0.50292648 0.45927622 11 40% pipe diameter 0.55043729 0.4973756 0.47467979 9 45% pipe diameter 0.50457667 0.5483111 0.5207688 3 50% pipe diameter 0.50364626 0.53626079 0.51568146 5 55% pipe diameter 0.5203924 0.54067392 0.50955714 6 60% pipe diameter 0.51915121 0.5925108 0.53299546 1 65% pipe diameter 0.58714169 0.60381268 0.506999 7 70% pipe diameter 0.59901161 0.64564789 0.51873455 4 75% pipe diameter 0.6375396 0.70665865 0.52571014 2
[0093] Table 12 Ranking table of different overflow weir heights under heavy rain conditions
[0094] Weir height Positive ideal solution distance (D+) Negative ideal solution distance (D-) Comprehensive score index Sorting 5% pipe diameter 0.79003082 0.60731529 0.43462052 13 10% pipe diameter 0.78521125 0.60411783 0.43482703 12 15% pipe diameter 0.77916564 0.4798215 0.38111708 16 20% pipe diameter 0.72950431 0.56617946 0.43697349 11 25% pipe diameter 0.70080268 0.60218942 0.46215892 8 30% pipe diameter 0.67932044 0.53719566 0.44158533 10 35% pipe diameter 0.65618037 0.49409981 0.42954735 14 40% pipe diameter 0.62789055 0.4572598 0.42137921 15 45% pipe diameter 0.55597784 0.50331233 0.47514113 7 50% pipe diameter 0.51975509 0.49779465 0.48920915 6 55% pipe diameter 0.57043562 0.48587666 0.45997445 9 60% pipe diameter 0.52391046 0.55279076 0.51341148 5 65% pipe diameter 0.53163309 0.61202964 0.53514871 4 70% pipe diameter 0.54539318 0.67173253 0.5519007 3 75% pipe diameter 0.58802495 0.72865204 0.55340227 2
[0095] It can be seen that in moderate and heavy rain, the weir height of 75% pipe diameter ratio is better, in heavy rain, 60% pipe diameter ratio is better, and 75% pipe diameter ratio is second. The larger the comprehensive score index, the better the scheme. Based on the results of various rain types, the overflow weir height setting range is between 60% and 75% pipe diameter, and the best height is 75% pipe diameter ratio.
[0096] Example 2
[0097] This embodiment provides an optimization system for arranging the height of the overflow weir of the discharge port, including:
[0098] The raw data acquisition module is used to acquire the raw data of the predetermined analysis indicators and the analysis indicators under different rainfall and overflow weir height conditions.
[0099] The standardization processing module is used to standardize the original data of the analysis indicators to obtain standard data of the analysis indicators, and to screen the maximum value and minimum value corresponding to each analysis indicator in the standard data.
[0100] The weight calculation module is used to calculate the weight of each analysis indicator according to the standard data.
[0101] The comprehensive score index calculation module is used to calculate the comprehensive score index based on the maximum and minimum values and weights corresponding to each analysis indicator.
[0102] A scheme determination module is used to determine the arrangement height of the overflow weir based on the comprehensive score index.
[0103] Example 3
[0104] This embodiment provides a device, including: a memory, a processor, and a computer program;
[0105] The computer program is stored in the memory and is configured to be executed by the processor to implement the method as described in Example 1.
[0106] Example 4
[0107] This embodiment provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the method described in Embodiment 1 is implemented.
[0108] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.
[0109] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.
[0110] These computer program instructions may also be stored in a computer readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.
[0111] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.
[0112] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.
Claims
1. A method for optimizing the height of a discharge overflow weir, characterized in that: include: Obtaining the original data of the predetermined analysis indicators and the analysis indicators under different rainfall and overflow weir height conditions; Standardizing the original data of the analysis indicators to obtain standard data of the analysis indicators, and screening the maximum and minimum values corresponding to each analysis indicator in the standard data; Calculate the weight of each analysis indicator according to the standard data; Based on the maximum and minimum values and weights corresponding to each analysis indicator, a comprehensive score index is calculated; The arrangement height of the overflow weir is determined based on the comprehensive score index.
2. The method for optimizing the height of the discharge weir according to claim 1, characterized in that: The analysis indicators include overflow reduction rate, overflow load reduction rate, water accumulation depth and water accumulation area.
3. The method for optimizing the height of the discharge weir according to claim 2, characterized in that: The step of standardizing the raw data of the analysis indicators to obtain standard data of the analysis indicators includes: The analysis indicators are divided into positive indicators and negative indicators; the positive indicators include overflow reduction rate and overflow load reduction rate, and the negative indicators include water accumulation depth and water accumulation area; The original data of the positive indicators and the negative indicators are respectively standardized; The normalized processing of the original data of the positive indicator is expressed as: ; The normalized processing of the original data of the negative indicator is expressed as: ; in, represents the standard data of the jth analysis indicator of the i-th analysis object, represents the original data of the jth analysis indicator of the i-th analysis object, Indicates the maximum value of the original data of the jth analysis indicator among all analysis objects, Indicates the minimum value of the original data of the j-th analysis indicator among all analysis objects.
4. The method for optimizing the height of the discharge weir according to claim 3, characterized in that: The maximum and minimum values corresponding to each analysis indicator in the screening standard data include: Filter the standard data of the jth analysis indicator in all analysis objects and count the maximum value as , the minimum value is .
5. The method for optimizing the height of the discharge weir according to claim 4, characterized in that: The calculating the weight of each analysis index according to the standard data includes: Calculate the information entropy value of the j-th analysis index according to the standard data , expressed as: ; Where n represents the total number of analysis objects, k represents a constant, ; The information utility value of the jth analysis indicator , expressed as: ; The weight of the jth analysis indicator , expressed as: ; Where m represents the total number of analysis indicators.
6. The method for optimizing the height of the discharge weir according to claim 5, characterized in that: The comprehensive score index is calculated based on the maximum and minimum values and weights corresponding to each analysis indicator, including: Calculate the maximum value of the i-th analysis object The distance is expressed as: ; Calculate the minimum value of the i-th analysis object The distance is expressed as: ; The composite score index It is expressed as: 。 7. An optimization system for arranging the height of a discharge overflow weir, characterized in that: include: A raw data acquisition module, used to acquire the raw data of the predetermined analysis index and the analysis index under different rainfall and overflow weir height conditions; A standardization processing module is used to standardize the raw data of the analysis indicators to obtain standard data of the analysis indicators, and to screen the maximum and minimum values corresponding to each analysis indicator in the standard data; A weight calculation module, used to calculate the weight of each analysis indicator according to the standard data; A comprehensive score index calculation module is used to calculate the comprehensive score index based on the maximum and minimum values and weights corresponding to each analysis indicator; A scheme determination module is used to determine the arrangement height of the overflow weir based on the comprehensive score index.
8. A device, characterized in that include: Memory, processor and computer program; The computer program is stored in the memory and is configured to be executed by the processor to implement the method according to any one of claims 1 to 6.
9. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.