CN116502805B

CN116502805B - Scheduling scheme rapid screening method based on surrounding area water network lifting quantitative evaluation model

Info

Publication number: CN116502805B
Application number: CN202310753720.4A
Authority: CN
Inventors: 魏乾坤; 何用; 刘培; 许劼婧; 刘志成; 刘壮添; 夏伟鹏; 王未; 张迪; 陈秋伶; 黄瑞晶; 傅学诚
Original assignee: Pearl River Hydraulic Research Institute of PRWRC
Current assignee: Pearl River Hydraulic Research Institute of PRWRC
Priority date: 2023-06-26
Filing date: 2023-06-26
Publication date: 2024-02-06
Anticipated expiration: 2043-06-26
Also published as: CN116502805A

Abstract

The invention relates to the technical field of water system optimization scheduling, in particular to a scheduling scheme rapid screening method based on a surrounding area water network lifting quantitative evaluation model. The method comprises the following steps: acquiring a preliminary scheme of surrounding area water network lifting; the method comprises the steps of obtaining and utilizing the drainage conditions outside the surrounding area and the natural water flow conditions inside the surrounding area to carry out preliminary screening on a preliminary scheme for lifting the water network in the surrounding area, and generating a screening scheme for lifting the water network in the surrounding area; carrying out fluidity evaluation and smoothness evaluation according to a surrounding area water network lifting screening scheme to obtain surrounding area water network lifting evaluation data; carrying out quantitative evaluation on the surrounding area water network lifting evaluation data so as to obtain a preliminary recommended scheme; calculating a preliminary recommended scheme by adopting a numerical simulation method, and carrying out statistical analysis to obtain a preliminary recommended scheme index; and carrying out quantitative evaluation according to the initial recommended scheme index to obtain a final recommended scheme, thereby realizing rapid screening of the scheduling scheme. The invention utilizes the evaluation model to evaluate, and improves the screening efficiency of the scheduling scheme.

Description

Scheduling scheme rapid screening method based on surrounding area water network lifting quantitative evaluation model

Technical Field

The invention relates to the technical field of water system optimization scheduling, in particular to a scheduling scheme rapid screening method based on a surrounding area water network lifting quantitative evaluation model.

Background

With the development of cities, the demands for optimizing and scheduling water systems in urban surrounding areas are growing more and more. The surrounding area water system is an important component part of the urban water system, and has important significance for the development of urban water environment and urban ecology. The urban surrounding area water system optimization scheduling can effectively improve the quality of urban water environment, improve urban ecological environment and ensure sustainable utilization of urban water resources through overall planning and management of the urban surrounding area water system. Meanwhile, the optimization scheduling of the surrounding area water system can promote the development of urban economy and the improvement of comprehensive competitiveness of cities, and lays a solid foundation for sustainable development of cities.

In the actual optimization scheduling process of the water nets in the surrounding area, the water nets in the surrounding area are crisscrossed, the number of water system optimization scheduling schemes is huge, the number of drainage ports is usually up to 5-10, and the number of proposed optimization schemes is often up to 50-100. Numerical simulation and tracking observation are the main methods for evaluating the effect at present. The numerical simulation method can reflect the implementation effect of the scheme more accurately and reflect the global effect, the problem that the data requirement is high, the modeling calculation and analysis workload is huge often exists in the using process, the tracking observation method can reflect the scheme effect directly, the effect of evaluating the attention point only can appear in the using process, the global control is lacked, the consumption of manpower and material resources is huge, and the effect evaluation of engineering measures is incomplete. The common problems of the prior art are that the evaluation method is complex, long in time consumption, huge in workload and low in evaluation efficiency due to the fact that the evaluation method faces to a huge number of optimization schemes.

Disclosure of Invention

The invention provides a scheduling scheme rapid screening method based on a surrounding area water network lifting quantitative evaluation model to solve at least one technical problem.

A scheduling scheme rapid screening method based on a surrounding area water network lifting quantitative evaluation model comprises the following steps:

step S1: acquiring a preliminary surrounding area water network lifting scheme of a target research area, wherein the preliminary surrounding area water network lifting scheme comprises water network scale data, water source data, drainage port data and drainage path data;

step S2: acquiring an outer drainage condition and an inner natural water flow condition, and performing preliminary screening on a preliminary scheme of lifting the water network in the surrounding area by utilizing the outer drainage condition and the inner natural water flow condition, so as to generate a scheme of lifting and screening the water network in the surrounding area;

step S3: carrying out fluidity evaluation and smoothness evaluation according to a surrounding area water network lifting screening scheme, so as to obtain surrounding area water network lifting evaluation data; the surrounding area water network lifting quantitative evaluation model comprises first quantitative evaluation standard data and second quantitative evaluation standard data, wherein the building method of the surrounding area water network lifting quantitative evaluation model comprises the following steps:

Step S301: acquiring flow judgment data of a drainage pump station, along-line water level difference judgment data on a backbone running water path, river channel ratio drop judgment data on the backbone running water path, ratio judgment data of broken ends and gushes length in the surrounding area, number judgment data of bayonets on unit length of the backbone running water path and ratio judgment data of a bayonets section area and a standard section on the backbone running water path;

step S302: accumulating and calculating according to the diversion pump station flow judgment data, the along-line water level difference judgment data on the backbone running water path, the river channel specific drop judgment data on the backbone running water path, the inside-enclosing broken-end surge length ratio judgment data, the bayonet quantity judgment data on the unit length of the backbone running water path and the standard section ratio judgment data to convert the accumulated and calculated data into first quantitative evaluation standard data;

step S303: acquiring flow rate index judgment data and water exchange period index judgment data;

step S304: accumulating and calculating according to the first quantitative evaluation standard data, the flow rate index judgment data and the water body exchange period index judgment data to convert the accumulated and calculated data into second quantitative evaluation standard data;

step S4: carrying out quantitative evaluation on the surrounding area water network lifting evaluation data by using a surrounding area water network lifting quantitative evaluation model, thereby obtaining a preliminary recommended scheme;

Step S5: calculating a preliminary recommended scheme by adopting a numerical simulation method, and carrying out statistical analysis to obtain a preliminary recommended scheme index;

step S6: and carrying out quantitative evaluation on the preliminary recommended scheme indexes by adopting a surrounding area water network lifting quantitative evaluation model to obtain a final recommended scheme, thereby realizing rapid screening of the scheduling scheme.

According to the method, the efficiency and the accuracy of scheduling scheme formulation are improved, time and resource cost are saved, preliminary screening is conducted based on the peripheral drainage conditions and the peripheral natural water flow conditions, trial-and-error cost and risk in the scheme formulation process are reduced, the surrounding area water network lifting scheme is evaluated by adopting a method of fluidity evaluation and smoothness evaluation, feasibility and practicality of the scheme are improved, the scheme is quantitatively evaluated by a surrounding area water network lifting quantitative evaluation model, and scientificity and operability of the scheme are improved.

The quantitative evaluation model for the surrounding area water network lifting can comprehensively evaluate a plurality of evaluation indexes, so that the feasibility and the quality of the surrounding area water network lifting scheme can be evaluated more comprehensively, the accuracy and the reliability are high, effective support can be provided for rapid screening and optimization of the surrounding area water network lifting scheme through the model, and meanwhile, the model has the advantages of being strong in operability and simple in calculation.

In one embodiment of the present specification, step S1 is specifically:

step S11: acquiring water network scale data of a target research area by adopting a remote sensing and GIS (geographic information system) device by adopting an image recognition method, wherein the water network scale data comprise water network quantity data, water network type data and water network distribution data;

step S12: collecting water tide level, water quality actual measurement data and historical statistical data of the outer river of the surrounding embankment of the target research area and carrying out statistical analysis to obtain water source data of the surrounding area;

step S13: collecting drainage port data of a target research area, wherein the drainage port data comprises drainage port type data, drainage port quantity data, drainage port position data and drainage port scale data;

step S14: the water diversion port data and the water network scale data are arranged and combined to obtain water diversion path data and a water network lifting preliminary scheme containing basic elements of water network scale, water source, water diversion port, water diversion path and water outlet;

step S15: and collecting water outlet data, wherein the water outlet data comprises water outlet type data, water outlet quantity data and water outlet position data.

According to the water network system and method based on the water network system, the water network condition of the target research area can be quickly known through the collected water network scale data, the water source data can be used for quickly knowing the hydrologic condition of the target research area, the collected drainage port data can be used for quickly knowing the water diversion facility condition of the target research area, basic data support is provided for the design of a water network lifting scheme of a subsequent surrounding area, the collected water diversion path data can be used for quickly knowing the water diversion path condition of the target research area, the collected water outlet data can be used for quickly knowing the drainage facility condition of the target research area, and therefore basic data support is provided for the design of the water network lifting scheme of the subsequent surrounding area.

In one embodiment of the present specification, the step of step S11 or step S12 includes the steps of:

step S101: collecting original data;

step S102: performing outlier processing on the original data so as to obtain preprocessed data;

step S103: calculating according to the pre-stored local historical data and the pre-processed data through an error generation formula, so as to generate an error value;

step S104: performing historical error judgment on the preprocessed data by utilizing the error value, so as to obtain water source data/diversion path data;

the abnormal value processing method specifically comprises the following steps:

and carrying out average value calculation on the original data through preset time threshold data, thereby obtaining the preprocessing data.

According to the method, the device and the system, the original data are preprocessed and processed by the abnormal value, so that more accurate hydrologic data are obtained, subsequent hydrologic analysis and water resource management are facilitated, the acquired original data are processed by the abnormal value, abnormal data caused by factors of manual operation or instrument faults can be eliminated, error transmission and accumulation are avoided, the error value is calculated through historical data and preprocessed data, more accurate hydrologic data can be obtained, the historical error judgment is conducted on the preprocessed data through the error value, and accuracy and reliability of water source data and diversion path data are judged. The average value calculation is carried out on the original data through the preset time threshold value data, so that unnecessary noise can be effectively removed, and more accurate hydrologic data can be obtained.

In one embodiment of the present specification, the error generation formula is specifically:

；

for error value +.>For preliminary error adjustment term, ++>Is->The weight coefficients of the individual target species pre-processed data,is->Preprocessing data of individual target species, < >>Is->Weight coefficient of history data of each target category, +.>Is->History of individual target categories,/->For initial values generated based on preliminary error adjustment term, +.>To count the total number>For the adjustment item generated based on the preliminary error adjustment item, < ->For adjusting correction items->Is correction information of the error value.

The present embodiment provides an error generation formula that fully considers the preliminary error adjustment termFirst->Weight coefficient of individual target class preprocessing data +.>First->Pretreatment data of individual target species->First->Weight coefficient of history data of individual target categories +.>First->History data of individual target categories->Initial value generated based on preliminary error adjustment term +.>Count total->Adjustment item generated based on preliminary error adjustment item +.>Adjusting correction term->And the interaction relationship with each other, the pre-processing data can be quantitatively calculated>And historical data->Thereby more accurately evaluating the credibility of the preprocessed data, introducing a natural exponent calculation +. >Thereby reducing the computational complexity brought by high-dimensional operation, carrying out dimension lifting through a preliminary error adjustment item, ensuring the reliability of data, taking into considerationWeight coefficient of preprocessing data of each target class +.>And weight coefficient of history data +.>Can reflect the difference and importance between different data more accurately by adjusting the item +.>And correction information->The introduction of factors of (2) can further improve the accuracy and reliability of the error value.

In one embodiment of the present specification, step S2 is specifically:

step S21: acquiring peripheral drainage conditions, wherein the peripheral drainage conditions comprise peripheral drainage trusted conditions and peripheral drainage suspicious conditions, the peripheral drainage trusted conditions comprise a high-to-low and self-drainage condition, a peripheral tidal reciprocating trusted condition, a strong drainage condition and a strong drainage condition, the peripheral tidal reciprocating trusted conditions comprise a high tide level higher than a landscape water level condition in a dead water period, a low tide level lower than the landscape water level condition and a self-drainage condition, the peripheral drainage suspicious conditions comprise a low-to-high and self-drainage condition and a peripheral tidal reciprocating suspicious condition, the peripheral tidal reciprocating suspicious conditions comprise a high tide level lower than the landscape water level condition in a dead water period or a low tide level still higher than the landscape water level condition;

Step S22: acquiring surrounding natural water flow credible conditions, wherein the surrounding natural water flow conditions comprise surrounding natural water flow credible conditions and surrounding natural water flow suspicious conditions, the surrounding natural water flow credible conditions comprise high-inlet low-outlet conditions, the water surface ratio is reduced to be positive, the surrounding natural water flow suspicious conditions comprise low-inlet high-outlet conditions, and the water surface ratio is reduced to be negative;

step S23: and (3) carrying out preliminary screening on the preliminary scheme of the surrounding area water network lifting by utilizing the surrounding external drainage conditions and the surrounding internal natural water flow conditions, thereby generating the scheme of the surrounding area water network lifting screening.

According to the method, the surrounding external drainage conditions and the surrounding internal natural water flow conditions are distinguished, trusted conditions and suspicious conditions are listed respectively, so that screening is more comprehensive and accurate, a preliminary scheme of surrounding area water network lifting can be screened preliminarily, a scheme which is not feasible can be eliminated, subsequent resources and time investment are saved, and a screened surrounding area water network lifting screening scheme can provide a basis for subsequent evaluation, simulation and scheme formulation.

In one embodiment of the present disclosure, the enclosure water network lifting and screening scheme includes overall flow data of a drainage pump station, overall surge capacity data of an enclosure, upstream water level data of a water inlet, downstream water level data of a water outlet, backbone running water path length data, water inlet river bottom elevation data, water outlet river bottom elevation data, total length data of a broken end surge, total length data of an enclosure river, total number data of backbone running water path bayonets, backbone running water path bayonet section area data and standard section area data on a backbone running water path, and step S3 is specifically:

Step S31: performing flow conversion according to the total flow of the diversion pump stations used in the surrounding area water network lifting and screening scheme and the total surge capacity in the surrounding area, so as to obtain flow data of a specified diversion pump station;

step S32: calculating the water level difference ratio according to the upstream water level data of the water diversion port, the downstream water level data of the water discharge port and the backbone running water path length data, so as to obtain the along-path water level difference data on the backbone running water path;

step S33: performing river channel ratio drop calculation according to the water diversion port river channel bottom elevation data, the water drainage port river channel bottom elevation data and the backbone running water path length data, so as to obtain river channel ratio drop data on the backbone running water path;

step S34: sequencing grade marks are carried out according to the flow data of the specified diversion pump station, the along-path water level difference data on the backbone running water path and the river channel ratio drop data on the backbone running water path, so that fluidity index judgment data are obtained;

step S35: carrying out ratio conversion according to the total length of the broken ends and the total length of the river in the surrounding area so as to obtain the ratio data of the broken ends in the surrounding area;

step S36: according to the total number data of the bayonets of the backbone running water path and the length data of the backbone running water path, performing length ratio conversion so as to obtain the number data of the bayonets on the unit length of the backbone running water path;

Step S37: calculating the ratio according to the bayonet section area of the backbone running water path and the standard section area on the backbone running water path, so as to obtain the ratio data of the bayonet section area on the backbone running water path to the standard section;

step S38: sequencing grade marks are carried out according to the ratio data of the broken ends and the gushes in the surrounding area, the data of the number of bayonets on the unit length of the backbone running water path and the ratio data of the area of the bayonets on the backbone running water path to the standard section, so that smoothness index judgment data are obtained;

step S39: and merging and summarizing according to the fluidity index judgment data and the smoothness index judgment data, so as to obtain the surrounding area water network lifting evaluation data.

According to the method, the fluidity index and the smoothness index are obtained through calculation and analysis of various data in the surrounding area water network lifting screening scheme, and the two indexes are coupled and associated, so that surrounding area water network lifting evaluation data are obtained. The data can help to screen the scheduling scheme rapidly, simplify scheme comparison and selection work, and improve the efficiency of the research on the surrounding area water network lifting scheme. Meanwhile, the data calculation and analysis process in the embodiment is based on actual data and a statistical method, and can provide scientific basis for related decisions.

In one embodiment of the present specification, step S4 is specifically:

step S41: carrying out quantitative evaluation on the surrounding area water network lifting evaluation data by using first quantitative evaluation standard data of a surrounding area water network lifting quantitative evaluation model, thereby obtaining first quantitative evaluation data;

step S42: and sequencing according to the first quantitative evaluation data and extracting through a preset scheme data threshold value, so as to obtain a preliminary recommended scheme.

According to the method, the surrounding area water network lifting quantitative evaluation model is established, quantitative evaluation is conducted on surrounding area water network lifting evaluation data, so that first quantitative evaluation data are obtained, and then a preliminary recommended scheme is obtained through sequence ordering and scheme data threshold extraction. The method can rapidly and accurately evaluate the merits of the surrounding area water network lifting scheme, provide a preliminary recommendation scheme and provide references and support for decision makers, thereby improving the decision efficiency and the decision quality.

In one embodiment of the present specification, the preliminary recommended solution includes first river reach length data with an average flow rate greater than 0.05m/S during running water on the backbone running water path, second river reach length data with a water exchange period not exceeding 10 days on the backbone running water path, and total length data of the backbone running water path, the preliminary recommended solution index includes river reach ratio data with a flow rate greater than 0.05m/S during running water and river reach ratio data with a water exchange period not exceeding 10 days, and step S5 specifically includes:

Step S51: performing ratio conversion according to the first river reach length data and the backbone running water path total length data, so as to obtain river reach ratio data with the flow rate of more than 0.05m/s during running water;

step S52: and carrying out ratio conversion according to the second river reach length data and the total length data of the backbone running water path, so as to obtain the river reach duty ratio data with the water exchange period not exceeding 10 days.

According to the method, the preliminary recommended scheme is obtained and evaluated through calculation and comparison of different indexes, so that scientific data support and decision reference can be provided for surrounding area water network lifting work. The index selection and calculation method of the preliminary recommendation scheme is reasonable, the actual condition of the water network lifting in the surrounding area can be fully reflected, the priority and the influence degree among different indexes can be better compared through ratio conversion, the final recommendation scheme can be determined, and the efficiency and the accuracy of the water network lifting work are improved.

In one embodiment of the present specification, step S6 is specifically:

carrying out quantitative evaluation on the preliminary recommended scheme indexes by using second quantitative evaluation standard data in the surrounding area water network lifting quantitative evaluation model so as to obtain quantitative evaluation data;

And carrying out maximum value sequencing extraction according to the quantitative evaluation data so as to obtain a final recommended scheme, thereby realizing rapid screening of the scheduling scheme.

According to the method, the preliminary recommended scheme is formulated by utilizing the surrounding area water network lifting quantitative evaluation model, the preliminary recommended scheme is quantitatively evaluated by utilizing the second quantitative evaluation standard data, and finally the final recommended scheme is obtained through maximum value sorting extraction, so that the scheduling scheme is rapidly screened. The method can improve the screening efficiency and accuracy of the scheduling scheme, and simultaneously can save the cost of manpower and material resources.

According to the invention, by establishing the quantitative evaluation model and the evaluation method for the fluidity evaluation and the smoothness evaluation of the surrounding area water network, the workload of screening the surrounding area water system optimization scheduling scheme can be greatly reduced, and the optimization scheduling research efficiency is improved; according to the method, error judgment is carried out on water source data and water diversion path data, and preliminary screening is carried out on a preliminary surrounding area water network lifting scheme by utilizing surrounding external water diversion and drainage conditions and surrounding internal natural water flow conditions, so that a reliable surrounding area water network lifting screening scheme can be generated, and the reliability of a scheduling scheme is improved; by establishing a quantitative evaluation model of the surrounding area water network lifting, the precise quantitative evaluation of the surrounding area water network lifting screening scheme can be performed, so that the precise recommendation of the scheduling scheme is realized; by the rapid screening and accurate quantitative evaluation of the method, unnecessary scheduling scheme design can be reduced, so that resources and time cost are saved.

Drawings

Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of non-limiting implementations made with reference to the following drawings in which:

FIG. 1 is a flow chart showing steps of a scheduling scheme rapid screening method based on a surrounding area water network lifting quantitative evaluation model according to an embodiment;

FIG. 2 is a flow chart showing the steps of a method for acquiring a preliminary plan for surrounding area water network lifting in accordance with one embodiment;

FIG. 3 illustrates a flow chart of steps of a water source data/diversion path data acquisition method of an embodiment;

FIG. 4 is a flow chart illustrating steps of a method of generating a zonal water network lift screening scheme according to one embodiment;

FIGS. 5-6 are flowcharts illustrating steps of a method for acquiring enclosure water network lift assessment data according to one embodiment;

FIG. 7 is a flowchart showing the steps of generating a model for a quantitative evaluation model of the lifting of a water network in an enclosure in one embodiment.

Detailed Description

The following is a clear and complete description of the technical method of the present patent in conjunction with the accompanying drawings, and it is evident that the described embodiments are some, but not all, embodiments of the present invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, are intended to fall within the scope of the present invention.

Furthermore, the drawings are merely schematic illustrations of the present invention and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. The functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor methods and/or microcontroller methods.

It will be understood that, although the terms "first," "second," etc. may be used herein to describe various elements, these elements should not be limited by these terms. These terms are only used to distinguish one element from another element. For example, a first element could be termed a second element, and, similarly, a second element could be termed a first element, without departing from the scope of example embodiments. The term "and/or" as used herein includes any and all combinations of one or more of the associated listed items.

Referring to fig. 1 to 7, a scheduling scheme rapid screening method based on a surrounding area water network lifting quantitative evaluation model includes the following steps:

specifically, for example, basic data of a water network in a surrounding area is collected, including information of water systems, reservoirs, water gates, pumping stations and the like, and data including water system distribution, river length, lake volume, reservoir water storage capacity and pumping station water pump quantity are collected. In addition, the natural conditions of the climate, hydrology and topography of the research area are known, and the water network lifting scheme of the surrounding area is formulated by combining the natural conditions of the research area, the social and economic development requirements and the existing water network conditions.

specifically, for example:

acquiring peripheral drainage conditions, including a high-to-low condition, a self-drainage condition, a tidal reciprocating trusted condition of the external river and tidal, a strong drainage condition and a strong drainage condition, and a peripheral drainage suspicious condition, including a low-to-high self-drainage condition and a tidal reciprocating suspicious condition of the external river and tidal;

Acquiring surrounding natural water flow conditions, including surrounding natural water flow credible conditions and surrounding natural water flow suspicious conditions, wherein the surrounding natural water flow credible conditions comprise high-inlet low-outlet conditions, the water surface ratio is reduced to be positive, the surrounding natural water flow suspicious conditions comprise low-inlet high-outlet conditions, and the water surface ratio is reduced to be negative;

and (3) carrying out preliminary screening on the preliminary scheme of the surrounding area water network lifting by utilizing the surrounding external drainage conditions and the surrounding internal natural water flow conditions, thereby generating the scheme of the surrounding area water network lifting screening. The process can screen the preliminary schemes one by one according to the drainage conditions outside the periphery and the natural water flow conditions inside the periphery, screen schemes meeting the conditions, and comprehensively evaluate the screened schemes.

Step S3: carrying out fluidity evaluation and smoothness evaluation according to a surrounding area water network lifting screening scheme, so as to obtain surrounding area water network lifting evaluation data;

in particular, for example, a water network of an enclosure is evaluated. Firstly, according to the topography and hydrologic conditions of the area, acquiring the water drainage conditions outside the periphery and the natural water flow conditions inside the periphery, wherein the information comprises the water flow speed, the water flow direction and the water flow. And then, carrying out preliminary screening on the water network of the area by utilizing the conditions to obtain a surrounding area water network lifting screening scheme. Then, according to these schemes, fluidity and smoothness are evaluated, and fluidity and smoothness of the surrounding area water network can be evaluated in consideration of indexes of the backbone waterway length, the river channel ratio drop, the river channel section, and the broken end surge ratio, for example. Finally, the surrounding area water network evaluation data are obtained according to the evaluation results, and a reference is provided for making a final water network lifting scheme.

The surrounding area water network lifting quantitative evaluation model comprises first quantitative evaluation standard data and second quantitative evaluation standard data, wherein the building method of the surrounding area water network lifting quantitative evaluation model comprises the following steps:

specifically, for example, the priming pump station flow rate determination data p1= { L1>0.3, 1;

0.1<L1<0.3，0.5；

L1<0.1， 0}。

the water level difference judgment data P2= { L2>0.1, 1 along the backbone running water path;

0<L2<0.1， 0.5；

L2<0， 0}。

River channel ratio drop judging data P3= { L3>0%, 1 on backbone running water path;

L3=0%， 0.5；

L3<0%， 0}。

the length of the intra-surrounding broken ends accounts for the ratio of judgment data P4= { C1<5%, 1;

5%<C1<10%，0.5；

C1>10%， 0}。

the bayonet quantity judgment data P5= { C2<0.3, 1 on the unit length of the backbone running water path;

0.3<C2<0.6，0.5；

C2>0.6， 0}。

judging data P6= { C3<0.2, 1 according to the ratio of the area of the bayonet section on the backbone running water path to the standard section;

0.2<C3<0.4，0.5；

C3>0.4， 0}。

first quantization evaluation criterion data pa=Σpi, (i=1 to 6).

in particular, for example

Flow rate index determination data p7= { S >90%, 2;

60%<S<90%， 1；

S<60%， 0}。

water exchange period index judgment data p8= { T >90%, 4;

60%<T<90%， 2；

T<60%， 0}。

second quantization evaluation criterion data pb=Σpi, (i=1 to 8).

specifically, for example, the surrounding area water network lifting evaluation model is utilized to accumulate, calculate and sequence and order surrounding area water network lifting evaluation data to obtain first quantitative evaluation standard data, and the first three data are selected or extracted according to a preset scheme number by sequencing the first quantitative evaluation standard data, so that a preliminary recommended scheme can be obtained. The preliminary recommended scheme includes water source data, water drainage port data, and water diversion path data.

specifically, for example, a flow rate during running of water of more than 0.05m/S river reach ratio=a flow rate during running of water on a backbone running water path of more than 0.05m/S river reach length/backbone running water path total length, thereby obtaining a flow rate index S;

the water body exchange period is not more than 10 days of river reach duty ratio = the length of water body exchange period on the backbone running water path is not more than 10 days of length/total length of the backbone running water path, so that the water body exchange period index T is obtained.

Specifically, for example, the surrounding area water network lifting quantitative evaluation model is utilized to accumulate, calculate and order and sort the indexes of the primary recommended scheme, so as to obtain the final recommended scheme, thereby realizing the rapid screening of the scheduling scheme.

Specifically, for example, step 1, obtaining preliminary schemes of lifting all surrounding areas of a research area, wherein the number of preliminary schemes may reach 50-100, including basic elements of water network scale, water source, drainage port and drainage path.

And 2, eliminating the preliminary scheme which obviously does not have feasibility according to the drainage conditions outside the enclosure and the natural water flow conditions inside the enclosure, and primarily screening the feasible scheme with feasibility.

Step 3, after the preliminary screening is completed, calculating the fluidity index and smoothness index of each feasible scheme, wherein the fluidity index comprises 1 ten thousand m ³ The flow of the diversion pump station corresponding to the surge capacity, the along-path water level difference on the backbone running water path, the river channel ratio drop on the backbone running water path, and the smoothness indexes comprise the ratio of the surge length of the broken ends in the periphery, the number of bayonets on the unit length of the backbone running water path, and the ratio of the section area of the bayonets on the backbone running water path to the standard section.

And 4, introducing the index calculated value of each scheme into a quantitative evaluation model to obtain a preliminary quantitative evaluation score Pa of each scheme, wherein 2-3 schemes with the highest score are preliminary recommended schemes.

And 5, calculating and counting the flow rate index and the water body exchange index of each preliminary recommended scheme by adopting a numerical simulation method.

And step 6, bringing the flow rate index and the water body exchange index calculated value of each preliminary recommended scheme into a quantitative evaluation model to obtain the final quantitative evaluation score Pb of each scheme, wherein the scheme with the highest score is the recommended scheme.

In one embodiment of the present specification, step S1 is specifically:

Specifically, for example, for investigation of a water network in a surrounding area, an investigation scheme can be formulated firstly, wherein the investigation scheme comprises an acquisition range, an acquisition method and acquisition time, and then image recognition, field investigation, questionnaire investigation and data collection are adopted through remote sensing and GIS equipment, so that water network data of the surrounding area, including the number, the types and the distribution condition of the water network, are acquired.

specifically, for example, monitoring equipment of a water level gauge and a flowmeter is arranged in a target research area, data of river water level and flow are recorded in real time, historical measured data of water level and flow of river channels inside and outside a surrounding area and historical statistical data are collected, and then data processing and analysis are carried out to obtain water source data of specific water level and water quality statistical analysis data.

Specifically, for example, the water source mainly refers to the river outside the dike around the surrounding area, the water source data comprise water level and water quality data, the data are divided into directly collected measured data and statistical analysis data, the measured water level data are water level processes (usually 5min and 60min are measured data) time by time, the water level statistical analysis data comprise high 95% guarantee rate and low tide level, average high and low tide levels for many years and tide difference, and the statistical analysis data can be obtained by analyzing the measured data or by consulting historical statistical data; the measured data of water quality is the pollutant concentration change process (the time interval may be longer) from time to time, the statistical analysis data of water quality is the water quality grade, and the statistical analysis data of water quality is obtained by analyzing the measured data. The data after statistical analysis are used as the basis of scheme screening.

specifically, for example, related data of the sluice is searched, including information of sluice positions, scales, functions, scheduling rules and management units, the number of different types of drainage ports is counted, each drainage port is measured, position coordinates and elevation data of the drainage ports are recorded, and a water diversion port position distribution map and an elevation distribution map are manufactured according to the measured data and the topographic information, so that the subsequent water network lifting scheme design is facilitated.

Specifically, for example, reference is made to: and (5) irrigating the pump station. Row: and (5) draining the waterlogging pump station. The guiding rows can all be as follows: sluice, irrigation and drainage pump station, and water diversion port scale data such as sluice gate width, gate bottom elevation and pump station flow.

specifically, for example, a certain surrounding area is provided with 6 drainage ports with drainage functions, 2 water network key nodes are arranged and combined to obtain 112 water network lifting preliminary schemes, and each scheme comprises basic elements of a water network scale, a water source, a water inlet, a water diversion path and a water outlet.

According to the water network scale data acquisition method, the water network condition of the target research area can be helped to be quickly known, the water source data acquisition method can be used for quickly knowing the hydrology and water quality conditions of the target research area, the water drainage port data acquisition method can be used for quickly knowing the drainage facility conditions of the target research area, and basic data support is provided for the derivation of a water diversion path and the design of a surrounding area water network lifting scheme.

step S101: collecting original data;

specifically, for example, satellite remote sensing and aerial remote sensing technologies are utilized to acquire images of a research area, and information data of the number data, the types of the water networks and the positions, the numbers and the types of water network distributed water sources/diversion paths are identified through image interpretation. And obtaining the actual measurement data of the water level and the water quality of the river through data collection.

specifically, abnormal value detection and processing are performed using, for example, a statistical method such as a box diagram, normal distribution.

Specifically, for example, the abnormal value processing provided in the present embodiment is adopted for processing.

specifically, for example, the historical data shows that the average value of a particular water source category in a region is 20, the variance is 1, and the pre-treatment data is 23. Then the error generation formula may be used: error value= (pre-processed data-average)/standard deviation, the error value of the data is calculated as 3.

specifically, for example, more importantly, it is determined whether the error value is less than or equal to the first error threshold; when the error value is less than or equal to the first error threshold value, the pretreatment data is determined to be water source data/diversion path data; when the error value is determined to be larger than the first error threshold value, judging whether the error value is smaller than or equal to the second error threshold value; when the error value is less than or equal to the second error threshold value, correcting the preprocessed data according to the error value, so as to obtain the data of the quantity, the type and the distribution of the water networks, and the actual measurement data of the water level and the water quality of the river; and when the error value is larger than the second error threshold value, marking the preprocessed data as high error information and carrying out high error reminding operation.

Specifically, for example, according to the above example, in which the pretreatment data is corrected in accordance with the error value, the water source data/diversion path data is obtained specifically as follows:

for correction of the water network data, interpolation-based methods may be used. For example, an interpolation algorithm (e.g., linear interpolation, polynomial interpolation) may be used to interpolate the preprocessed data, and then the interpolation result is corrected according to the error value, thereby obtaining corrected water network data.

Specifically, for example, whether the preprocessed data has a history error is judged according to the error value, and if the error value exceeds a preset threshold value, the data is considered to have the history error; and correcting or screening the data with the history errors to obtain more accurate hydrological/water source data.

Specifically, for example, the obtained data within one second is subjected to the average calculation, thereby determining and obtaining the preprocessed data.

Specifically, for example, data obtained in one minute is subjected to mean value calculation, thereby determining and obtaining the preprocessed data.

；

for error value +.>For preliminary error adjustment term, ++>Is->The weight coefficients of the individual target species pre-processed data,is->Preprocessing data of individual target species, < >>Is->Weight coefficient of history data of each target category, +.>Is->History of individual target categories,/- >For initial values generated based on preliminary error adjustment term, +.>To count the total number>For the adjustment item generated based on the preliminary error adjustment item, < ->For adjusting correction items->Is correction information of the error value.

The present embodiment provides an error generation formula that fully considers the preliminary error adjustment termFirst->Weight coefficient of individual target class preprocessing data +.>First->Pretreatment data of individual target species->First->Weight coefficient of history data of individual target categories +.>First->History data of individual target categories->Initial value generated based on preliminary error adjustment term +.>Count total->Adjustment item generated based on preliminary error adjustment item +.>Adjusting correction term->And the interaction relationship with each other, the pre-processing data can be quantitatively calculated>And historical data->Thereby more accurately evaluating the credibility of the preprocessed data, introducing a natural exponent calculation +.>Thereby reducing the computational complexity caused by high-dimensional operation, carrying out dimension ascending through a preliminary error adjustment item, ensuring the reliability of data, and taking the weight coefficient +_of each target type of preprocessing data into consideration>And weight coefficient of history data +.>Can reflect the difference and importance between different data more accurately by adjusting the item +. >And correction information->The introduction of factors of (2) can further improve the accuracy and reliability of the error value.

In one embodiment of the present specification, step S2 is specifically:

In particular, for example, the peripheral drainage conditions

Trusted:

(1) From high to low, self-guiding and self-draining;

(2) The tide of the outer river reciprocates, the high tide level in the dead water period is higher than the landscape water level, the low tide level is lower than the landscape water level, and the tide is self-guided and self-discharged;

(3) Strong guiding and strong discharging and strong guiding and self discharging.

Suspicious:

(1) From low to high, self-guiding and self-draining;

(2) The tide of the outer river reciprocates, but the high tide level in the dry period is lower than the landscape water level, or the low tide level is still higher than the landscape water level, and the tide is self-guided and self-discharged.

Natural water flow condition in the enclosure

Trusted: high inlet and low outlet, and the water surface ratio drop is more than or equal to 0;

suspicious: low in and high out, the water surface ratio drop is less than or equal to 0.

And carrying out preliminary screening on the preliminary surrounding area water network lifting scheme through the conditions, so as to generate the surrounding area water network lifting screening scheme.

In one embodiment of the present disclosure, the enclosure water network lifting and screening scheme includes total flow data of a drainage pump station, total surge capacity data of an enclosure, upstream water level data of a water inlet, downstream water level data of a water outlet, length data of a backbone running water path, elevation data of a water inlet and a water outlet, elevation data of a water outlet and a water outlet, and is calculated according to pre-stored local historical data and pre-processed data by an error generation formula, so as to generate error value total length data of a broken end surge, total length data of an enclosure river surge, total number data of backbone running water path bayonets, section area data of backbone running water path bayonets and standard section area data on a backbone running water path, and step S3 is specifically:

in particular, for example, L ₁ :1 ten thousand m ³ The diversion pump station flow corresponding to the surge capacity=the total flow of the diversion pump stations used in the running water scheme/the total surge capacity in the enclosure.

In particular, for example, L ₂ : the water level difference of the upper edge of the backbone running water path= (water level upstream of the water diversion port-water level downstream of the water diversion port)/the length of the backbone running water path.

specifically, for example), L ₃ : river specific drop= (water diversion port river bottom elevation-water discharge port river bottom elevation)/backbone running water path length on backbone running water path.

specifically, for example, the fluidity index includes L ₁ 、L ₂ L and ₃ 。

in particular, for example, C ₁ : the length of the peri-internal gushes is ratio = total length of the gushes/total length of the peri-internal gushes.

In particular, for example, C ₂ : the number of bayonets per unit length of backbone water-activating path = total number of backbone water-activating path bayonets/backbone water-activating path length.

in particular, for example, C ₃ : bayonet section area on backbone running water path and standard section ratio = backbone running water path bayonet section area/backbone running water path standard section area.

specifically, for example, the patency index judgment data includes C ₁ 、C ₂ C ₃ 。

Specifically, for example, fluidity index

(1) L1:1 ten thousand m ³ The diversion pump station flow corresponding to the surge capacity=the total flow of the diversion pump station used in the running water scheme/the total surge capacity in the enclosure;

(2) L2: the upper edge water level difference of the backbone running water path= (water level upstream of the water diversion port-water level downstream of the water diversion port)/backbone running water path length;

(3) L3: river specific drop= (water diversion port river bottom elevation-water discharge port river bottom elevation)/backbone running water path length on backbone running water path;

index of smoothness

(1) C1: the ratio of the length of the intra-surrounding gushes=total length of the gushes/total length of the intra-surrounding gushes

(2) C2: number of bayonets per unit length of backbone water-activating path = total number of backbone water-activating path bayonets/backbone water-activating path length

(3) And C3: bayonet cross-sectional area on backbone water-activating path and standard cross-sectional ratio = backbone water-activating path bayonet cross-sectional area/backbone water-activating path standard cross-sectional area

According to the method, the fluidity index and the smoothness index are obtained through calculation and analysis of various data in the surrounding area water network lifting screening scheme, and the two indexes are coupled and associated, so that surrounding area water network lifting evaluation data are obtained. The data can help to quickly screen the scheduling scheme, improve the running efficiency and safety of the surrounding area water network, and reduce the occurrence of flood disasters. Meanwhile, the data calculation and analysis process in the embodiment is based on actual data and a statistical method, and can provide scientific basis for related decisions.

In one embodiment of the present specification, step S4 is specifically:

Specifically, for example, index calculated values of all schemes are brought into a quantitative evaluation model, a preliminary quantitative evaluation score Pa of each scheme is obtained, and 2-3 schemes with the highest score are preliminary recommended schemes.

Specifically, for example, the flow rate index S: the flow rate during water activation is greater than 0.05m/s river reach ratio = the average flow rate during water activation on the backbone water activation path is greater than 0.05m/s river reach length/backbone water activation path total length.

Water exchange cycle index T: the water exchange period is not more than 10 days of river reach duty ratio = the length of water exchange period is not more than 10 days of the backbone running water path/the total length of the backbone running water path.

In one embodiment of the present specification, step S6 is specifically:

In particular, for example, suppose that a preliminary water network lifting scheme for an enclosure includes three segments: A. b, C, performing quantitative evaluation through the second quantitative evaluation standard data to obtain 6, 8 and 12 respectively, and performing maximum value sorting extraction to obtain a final recommended scheme C, thereby realizing rapid screening of the scheduling scheme.

And carrying out maximum value sequencing extraction according to the quantitative evaluation data to obtain a final recommendation scheme.

The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference signs in the claims shall not be construed as limiting the claim concerned.

The foregoing is only a specific embodiment of the invention to enable those skilled in the art to understand or practice the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A scheduling scheme rapid screening method based on a surrounding area water network lifting quantitative evaluation model is characterized by comprising the following steps:

step S1, including:

step S3, including: performing flow conversion according to the total flow of the diversion pump stations used in the surrounding area water network lifting and screening scheme and the total surge capacity in the surrounding area, so as to obtain flow data of a specified diversion pump station; the surrounding area water network lifting and screening scheme comprises total flow data of a drainage pump station, total water flushing capacity data of the surrounding area, upstream water level data of a water inlet, downstream water level data of a water outlet, backbone running water path length data, water inlet river bottom elevation data, water outlet river bottom elevation data, and calculation according to pre-existing local historical data and pre-processing data through an error generation formula, so that error value broken end flushing total length data, surrounding inner river flushing total length data, backbone running water path bayonet total number data, backbone running water path bayonet section area data and backbone running water path standard section area data are generated, wherein the error generation formula specifically comprises the following steps:

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For error value +.>For preliminary error adjustment term, ++>Is->Weight coefficient of preprocessing data of each target class, < ->Is->Preprocessing data of individual target species, < >>Is->Weight coefficient of history data of each target category, +.>Is->History of individual target categories,/->Is based on the beginningInitial value generated by step error adjustment term, +.>To count the total number>For the adjustment item generated based on the preliminary error adjustment item, < ->For adjusting correction items->Correction information for the error value;

calculating the water level difference ratio according to the upstream water level data of the water diversion port, the downstream water level data of the water discharge port and the backbone running water path length data, so as to obtain the along-path water level difference data on the backbone running water path;

performing river channel ratio drop calculation according to the water diversion port river channel bottom elevation data, the water drainage port river channel bottom elevation data and the backbone running water path length data, so as to obtain river channel ratio drop data on the backbone running water path;

sequencing grade marks are carried out according to the flow data of the specified diversion pump station, the along-path water level difference data on the backbone running water path and the river channel ratio drop data on the backbone running water path, so that fluidity index judgment data are obtained;

carrying out ratio conversion according to the total length of the broken ends and the total length of the river in the surrounding area so as to obtain the ratio data of the broken ends in the surrounding area;

According to the total number data of the bayonets of the backbone running water path and the length data of the backbone running water path, performing length ratio conversion so as to obtain the number data of the bayonets on the unit length of the backbone running water path;

calculating the ratio according to the bayonet section area of the backbone running water path and the standard section area on the backbone running water path, so as to obtain the ratio data of the bayonet section area on the backbone running water path to the standard section;

sequencing grade marks are carried out according to the ratio data of the broken ends and the gushes in the surrounding area, the data of the number of bayonets on the unit length of the backbone running water path and the ratio data of the area of the bayonets on the backbone running water path to the standard section, so that smoothness index judgment data are obtained;

merging and summarizing according to the fluidity index judgment data and the smoothness index judgment data, so as to obtain surrounding area water network lifting evaluation data;

step S4: carrying out quantitative evaluation on the surrounding area water network lifting evaluation data by using a surrounding area water network lifting quantitative evaluation model so as to obtain a preliminary recommended scheme, wherein the surrounding area water network lifting quantitative evaluation model comprises first quantitative evaluation standard data and second quantitative evaluation standard data, and the building method of the surrounding area water network lifting quantitative evaluation model comprises the following steps:

Acquiring flow judgment data of a drainage pump station, along-line water level difference judgment data on a backbone running water path, river channel ratio drop judgment data on the backbone running water path, ratio judgment data of broken ends and gushes length in the surrounding area, number judgment data of bayonets on unit length of the backbone running water path and ratio judgment data of a bayonets section area and a standard section on the backbone running water path;

accumulating and calculating according to the diversion pump station flow judgment data, the along-line water level difference judgment data on the backbone running water path, the river channel specific drop judgment data on the backbone running water path, the inside-enclosing broken-end surge length ratio judgment data, the bayonet quantity judgment data on the unit length of the backbone running water path and the standard section ratio judgment data to convert the accumulated and calculated data into first quantitative evaluation standard data;

acquiring flow rate index judgment data and water exchange period index judgment data;

accumulating and calculating according to the first quantitative evaluation standard data, the flow rate index judgment data and the water body exchange period index judgment data to convert the accumulated and calculated data into second quantitative evaluation standard data;

step S5: calculating a preliminary recommended scheme by adopting a numerical simulation method, and carrying out statistical analysis to obtain a preliminary recommended scheme index; the preliminary recommended scheme comprises first river reach length data with the average flow velocity being greater than 0.05m/s in the water flowing period on a backbone water flowing path, second river reach length data with the water exchanging period not exceeding 10 days on the backbone water flowing path and total length data of the backbone water flowing path, wherein the preliminary recommended scheme indexes comprise river reach ratio data with the flow velocity being greater than 0.05m/s in the water flowing period and river reach ratio data with the water exchanging period not exceeding 10 days, and the specific steps of calculating the preliminary recommended scheme by adopting a numerical simulation method are as follows:

Performing ratio conversion according to the first river reach length data and the backbone running water path total length data, so as to obtain river reach ratio data with the flow rate of more than 0.05m/s during running water;

performing ratio conversion according to the second river reach length data and the backbone running water path total length data, so as to obtain river reach duty ratio data with the water exchange period not exceeding 10 days;

2. The rapid screening method of the scheduling scheme based on the surrounding area water network lifting quantitative evaluation model according to claim 1, wherein the step S2 is specifically:

acquiring peripheral drainage conditions, wherein the peripheral drainage conditions comprise peripheral drainage trusted conditions and peripheral drainage suspicious conditions, the peripheral drainage trusted conditions comprise a high-to-low condition, a self-drainage condition, an external tidal reciprocating trusted condition, a strong drainage condition and a strong drainage condition, the external tidal reciprocating trusted conditions comprise a high tide level in a dead water period being higher than a landscape water level condition, a low tide level being lower than the landscape water level condition and a self-drainage condition, the peripheral drainage suspicious conditions comprise a low-to-high and self-drainage condition and an external tidal reciprocating suspicious condition, the external tidal reciprocating suspicious conditions comprise a self-drainage condition and a high tide level in the dead water period being lower than the landscape water level condition, or the low tide level is still higher than the landscape water level condition;

Acquiring surrounding natural water flow conditions, wherein the surrounding natural water flow conditions comprise surrounding natural water flow credible conditions and surrounding natural water flow suspicious conditions, the surrounding natural water flow credible conditions comprise high-inlet low-outlet conditions, the water surface ratio is positive, the surrounding natural water flow suspicious conditions comprise low-inlet high-outlet conditions, and the water surface ratio is negative;

preliminary screening is carried out on the preliminary scheme of the surrounding area water network lifting by utilizing the surrounding external drainage conditions and the surrounding internal natural water flow conditions, so that a scheme of the surrounding area water network lifting screening is generated;

and merging and summarizing according to the fluidity index judgment data and the smoothness index judgment data, so as to obtain the surrounding area water network lifting evaluation data.

3. The rapid screening method of the scheduling scheme based on the surrounding area water network lifting quantitative evaluation model according to claim 1, wherein the step S4 is specifically:

Carrying out quantitative evaluation on the surrounding area water network lifting evaluation data by using first quantitative evaluation standard data of a surrounding area water network lifting quantitative evaluation model, thereby obtaining first quantitative evaluation data;

and sequencing according to the first quantitative evaluation data and extracting through a preset scheme data threshold value, so as to obtain a preliminary recommended scheme.

4. The rapid screening method of scheduling schemes based on a quantitative evaluation model for surrounding area water network lifting according to claim 1, wherein the step S6 is specifically: