CN111259507B - Method for designing intercepting well and regulating reservoir system based on expert system - Google Patents
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Abstract
An expert system-based method for designing a intercepting well and a regulating reservoir system comprises the following steps: (1) and (3) carrying out site selection analysis on the intercepting well and the regulating reservoir: analyzing the urban under-ground surface from the current situation and the planned land angle through an integrated 3S technology, and identifying the land range and the area upper limit of a intercepting well and a regulating reservoir which can be built; (2) and carrying out facility arrangement and scale calculation on the split-flow drainage system and the combined-flow drainage system: the method comprises the steps of performing scale calculation on a split drainage system by taking a whole-process cut-off drainage regulation system as a template, and performing scale calculation on a combined drainage system by taking a whole-process drainage regulation system and a tail end sewage interception system as templates; (3) regularized result knowledge of the steps (1) and (2) and established an expert system of the urban runoff pollution control intercepting well and the regulation pool system. The invention integrates a 3S technology, an expert system and an SWMM drainage model, and can calculate and infer an urban runoff pollution control intercepting well regulation and storage pool system scheme with better technical economy.
Description
Technical Field
The invention belongs to a urban runoff pollution control method, and particularly relates to a method for designing a intercepting well and a regulating reservoir system based on an expert system.
Background
Urban runoff pollution control is one of the core targets of sponge city and black and odorous water body treatment, and is a key problem to be solved for protecting water environment and realizing sustainable development and green development of social environment. The scheme design of the intercepting well and the regulating reservoir is one of the core works of the urban runoff pollution control scheme. At present, the field lacks a more scientific and effective global systematic optimization design technology, mainly relies on artificial subjective decisions, and is difficult to realize global optimal system scheme design. Therefore, in practical design and engineering practice, the aims of saving environmental protection, green ecology and low-carbon construction are difficult to further realize.
Disclosure of Invention
The invention aims to overcome the defects in the prior art, and provides a method for designing a intercepting well and a regulating reservoir system based on an expert system, which integrates a 3S technology, an expert system technology and an SWMM drainage model, and can calculate and infer a scheme of the urban runoff pollution control intercepting well regulating reservoir system with better technical economy compared with a manual calculation decision.
The technical scheme of the invention is as follows: an expert system-based method for designing a intercepting well and a regulating reservoir system is characterized in that: the method comprises the following steps:
(1) and (3) carrying out site selection analysis on the intercepting well and the regulating reservoir: analyzing the urban under-ground surface from the current situation and the planned land angle through an integrated 3S technology, and identifying the land range and the area upper limit of a intercepting well and a regulating reservoir which can be built;
(2) and carrying out facility arrangement and scale calculation on the split-flow drainage system and the combined-flow drainage system: the method comprises the steps of performing scale calculation on a split drainage system by taking a whole-process cut-off drainage regulation system as a template, and performing scale calculation on a combined drainage system by taking a whole-process drainage regulation system and a tail end sewage interception system as templates;
(3) regularized result knowledge of the steps (1) and (2) and established an expert system of the urban runoff pollution control intercepting well and the regulation pool system.
The specific steps of the step (1) include:
step 1: determining a boundary range of a design area;
step 2: analyzing and processing the original image data of the urban underlying surface RS, and carrying out underlying surface identification and classification;
step 3: correcting the identification result of the underlying surface in the step 2 by utilizing GPS field positioning;
step 4: processing and converting the result in the step 3 by utilizing a GIS platform, and establishing a current land database based on the GIS platform;
step 5: establishing a planning land database based on a GIS platform according to the planning land drawing;
step 6: establishing a GIS platform-based current situation and planning pipeline comprehensive database according to the current situation pipeline comprehensive census and drawing data and planning pipeline drawing data;
step 7: establishing an artificial decision address selection database based on a GIS platform according to land address selection comments of decision makers;
step 8: and (3) performing spatial analysis on the databases established in the steps 4, 5, 6 and 7 by utilizing the superposition analysis and buffer area analysis functions of the GIS, and determining the optional site positions and the upper limit of the land area of the intercepting well and the regulating reservoir.
The specific steps of the step (2) include:
step 1: utilizing SWMM model to calculate the scheme of the intercepting well system based on marginal flow rate analysis strategy;
step 1.1: carrying out hydraulic water quality calculation on a drainage system by utilizing an SWMM drainage model, and entering an iterative step;
step 1.2: defining the net pollutant quantity contained in the unit-scale abandoned flow of the nodes as the marginal abandoned flow rate, analyzing the marginal abandoned flow rate of each settable intercepting well node and sequencing;
step 1.3: selecting the node with the maximum marginal flow discarding rate in the step 1.2 to update the intercepting well, wherein the flow discarding rate is increased according to a unit scale;
step 1.4: analyzing whether the marginal reject rate of the current last unit scale of the rest nodes is reduced compared with that before updating the intercepting well in the step 1.3;
step 1.5: performing the following update for each shut-in well with reduced marginal reject rate in step 1.4;
step 1.5.1: if the marginal reject rate of the analysis node is larger than the maximum marginal reject rate of all nodes after the updating in the step 1.3, the current analysis node does not execute updating, and the node with the next reduced marginal reject rate is analyzed;
step 1.5.2: if the marginal reject rate of the analysis node is smaller than the maximum marginal reject rate of all nodes after updating in the step 1.3, the reject rate of the current analysis node is reduced according to the unit scale until the marginal reject rate is the same as the prior reduction or the same as the current maximum marginal reject rate or other judgment indexes, and the node with the reduced next marginal reject rate is analyzed;
step 1.6: returning to the step 1.1, and performing the next iterative computation, wherein the iterative computation termination condition is shown in the step 1.7;
step 1.7: when the drainage capacity of the sewage system receiving the abandoned flow reaches the upper limit, or the capacity of a downstream sewage lifting pump station reaches the upper limit, or the treatment capacity of a downstream sewage treatment plant reaches the upper limit, or the use of a intercepting well reaches the upper limit, stopping the iterative computation, and entering the scheme design of a regulating and accumulating tank system;
step 2: utilizing the SWMM model to iterate a regulation reservoir system scheme based on a marginal control rate analysis strategy;
step 2.1: carrying out hydraulic water quality calculation on a drainage system by utilizing an SWMM drainage model, and entering an iterative step;
step 2.2: defining the net quantity of pollutants contained in the unit-scale pool volume of the node as the marginal control rate, analyzing the marginal control rate of each settable regulation pool node and arranging the marginal control rate;
step 2.3: selecting the node with the largest marginal control rate in the step 2.2, updating the regulation pool, and increasing the pool capacity according to the unit scale;
step 2.4: analyzing whether the marginal control rate of the current last unit scale of the rest nodes is reduced compared with that before the step 2.3 of updating the regulating reservoir;
step 2.5: the following update is executed for each regulation pool with the marginal control rate reduced in the step 2.4;
step 2.5.1: if the marginal control rate of the analysis node is greater than the maximum marginal control rate of all nodes after the updating in the step 2.3, the current analysis node does not execute updating, and the node with the next reduced marginal control rate is analyzed;
step 2.5.2: if the marginal control rate of the analysis node is smaller than the maximum marginal control rate of all nodes after updating in the step 2.3, the pool capacity of the current analysis node is reduced according to the unit scale until the marginal control rate is the same as that before reduction or the same as the current maximum marginal control rate or other judgment indexes, and the node with the next reduced marginal control rate is analyzed;
step 2.6: returning to the step 2.1 for the next iterative computation, wherein the iterative computation termination condition is shown in the step 2.7;
step 2.7: when the net discharge capacity of pollutants at the discharge port meets the requirements of the environmental capacity or other control indexes of the receiving water body, or the land scale of the regulating reservoir reaches the upper limit of the allowable land scale, stopping the iterative computation, and completing the design of the system scheme of the regulating reservoir;
according to the site selection analysis result, if the drainage system is a diversion drainage system and the construction of the intercepting well is allowed to have construction land, firstly designing an intercepting well system scheme, and then designing a regulating reservoir system scheme when no intercepting well can be constructed; if the system is a combined drainage system or a intercepting well is not allowed to be built or a land is not built, the scheme design of the regulation and storage pool system is directly carried out.
Compared with manual calculation decision, the system can calculate and infer the urban runoff pollution control intercepting well regulation and storage system scheme with better technical economy, and has the following advantages and positive effects:
1. the invention provides a site selection analysis method for a intercepting well and a regulating reservoir by utilizing a 3S technology;
2. the invention aims to realize the non-point source pollution control index by using the minimum engineering scale, utilizes the SWMM model to overlap the intercepting well system scheme based on the marginal waste flow rate analysis strategy, and utilizes the SWMM model to overlap the regulating reservoir system scheme based on the marginal control rate analysis strategy.
3. The invention regularizes knowledge of the site selection analysis result of the intercepting well and the regulating reservoir, the intercepting well system scheme and the regulating reservoir system scheme, and establishes an expert system for controlling the intercepting well and the regulating reservoir system for urban runoff pollution.
Drawings
FIG. 1 is a flow chart of a well and reservoir site selection analysis of the present invention;
FIG. 2 is a diagram of the overall architecture of the artificial intelligence expert system and the relationship between the modules.
Detailed Description
As shown in the figure: an expert system-based vatch basin system comprising the steps of:
1. and (3) carrying out site selection analysis on the intercepting well and the regulating reservoir: the urban under-floor surface is analyzed from the current situation and the planning land angle through the integrated 3S technology, the land range and the area upper limit of a intercepting well and a regulating reservoir which can be built are identified, and the method comprises the following specific steps:
step 1: determining a boundary range of a design area;
step 2: analyzing and processing the original image data of the urban underlying surface RS, and carrying out underlying surface identification and classification;
step 3: correcting the identification result of the underlying surface in the step 2 by utilizing GPS field positioning;
step 4: processing and converting the result in the step 3 by utilizing a GIS platform, and establishing a current land database based on the GIS platform;
step 5: establishing a planning land database based on a GIS platform according to the planning land drawing;
step 6: establishing a GIS platform-based current situation and planning pipeline comprehensive database according to the current situation pipeline comprehensive census and drawing data and planning pipeline drawing data;
step 7: establishing an artificial decision address selection database based on a GIS platform according to land address selection comments of decision makers;
step 8: and (3) performing spatial analysis on the databases established in the steps 4, 5, 6 and 7 by utilizing the superposition analysis and buffer area analysis functions of the GIS, and determining the optional site positions and the upper limit of the land area of the intercepting well and the regulating reservoir.
2. And carrying out facility arrangement and scale calculation on the split-flow drainage system and the combined-flow drainage system: the method comprises the following specific steps of:
step 1: utilizing SWMM model to calculate the scheme of the intercepting well system based on marginal flow rate analysis strategy;
step 1.1: carrying out hydraulic water quality calculation on a drainage system by utilizing an SWMM drainage model, and entering an iterative step;
step 1.2: defining the net pollutant quantity contained in the unit-scale abandoned flow of the nodes as the marginal abandoned flow rate, analyzing the marginal abandoned flow rate of each settable intercepting well node and sequencing;
step 1.3: selecting the node with the maximum marginal flow discarding rate in the step 1.2 to update the intercepting well, wherein the flow discarding rate is increased according to a unit scale;
step 1.4: analyzing whether the marginal reject rate of the current last unit scale of the rest nodes is reduced compared with that before updating the intercepting well in the step 1.3;
step 1.5: performing the following update for each shut-in well with reduced marginal reject rate in step 1.4;
step 1.5.1: if the marginal reject rate of the analysis node is larger than the maximum marginal reject rate of all nodes after the updating in the step 1.3, the current analysis node does not execute updating, and the node with the next reduced marginal reject rate is analyzed;
step 1.5.2: if the marginal reject rate of the analysis node is smaller than the maximum marginal reject rate of all nodes after updating in the step 1.3, the reject rate of the current analysis node is reduced according to the unit scale until the marginal reject rate is the same as the prior reduction or the same as the current maximum marginal reject rate or other judgment indexes, and the node with the reduced next marginal reject rate is analyzed;
step 1.6: returning to the step 1.1, and performing the next iterative computation, wherein the iterative computation termination condition is shown in the step 1.7;
step 1.7: when the drainage capacity of the sewage system receiving the abandoned flow reaches the upper limit, or the capacity of a downstream sewage lifting pump station reaches the upper limit, or the treatment capacity of a downstream sewage treatment plant reaches the upper limit, or the use of a intercepting well reaches the upper limit, stopping the iterative computation, and entering the scheme design of a regulating and accumulating tank system;
step 2: utilizing the SWMM model to iterate a regulation reservoir system scheme based on a marginal control rate analysis strategy;
step 2.1: carrying out hydraulic water quality calculation on a drainage system by utilizing an SWMM drainage model, and entering an iterative step;
step 2.2: defining the net quantity of pollutants contained in the unit-scale pool volume of the node as the marginal control rate, analyzing the marginal control rate of each settable regulation pool node and arranging the marginal control rate;
step 2.3: selecting the node with the largest marginal control rate in the step 2.2, updating the regulation pool, and increasing the pool capacity according to the unit scale;
step 2.4: analyzing whether the marginal control rate of the current last unit scale of the rest nodes is reduced compared with that before the step 2.3 of updating the regulating reservoir;
step 2.5: the following update is executed for each regulation pool with the marginal control rate reduced in the step 2.4;
step 2.5.1: if the marginal control rate of the analysis node is greater than the maximum marginal control rate of all nodes after the updating in the step 2.3, the current analysis node does not execute updating, and the node with the next reduced marginal control rate is analyzed;
step 2.5.2: if the marginal control rate of the analysis node is smaller than the maximum marginal control rate of all nodes after updating in the step 2.3, the pool capacity of the current analysis node is reduced according to the unit scale until the marginal control rate is the same as that before reduction or the same as the current maximum marginal control rate or other judgment indexes, and the node with the next reduced marginal control rate is analyzed;
step 2.6: returning to the step 2.1 for the next iterative computation, wherein the iterative computation termination condition is shown in the step 2.7;
step 2.7: when the net discharge capacity of pollutants at the discharge port meets the requirements of the environmental capacity or other control indexes of the receiving water body, or the land scale of the regulating reservoir reaches the upper limit of the allowable land scale, stopping the iterative computation, and completing the design of the system scheme of the regulating reservoir;
according to the site selection analysis result, if the drainage system is a diversion drainage system and the construction of the intercepting well is allowed to have construction land, firstly designing an intercepting well system scheme, and then designing a regulating reservoir system scheme when no intercepting well can be constructed; if the system is a combined drainage system or a intercepting well is not allowed to be built or a land is not built, the scheme design of the regulation and storage pool system is directly carried out.
Step 3: and (5) ending the design of the system scheme and outputting a result.
3. And (3) regularizing the results of the steps (1) and (2) and establishing an expert system of the urban runoff pollution control intercepting well and the regulation pool system.
The objects, technical solutions and advantages of the present invention will be described in detail in the present specification. It should be understood that the foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the invention, but is intended to cover all modifications, equivalents, alternatives, and modifications falling within the spirit and principles of the invention without departing from the scope of the invention as defined by the inventors.
Claims (3)
1. An expert system-based method for designing a intercepting well and a regulating reservoir system is characterized in that: the method comprises the following steps:
(1) and (3) carrying out site selection analysis on the intercepting well and the regulating reservoir: analyzing the urban under-ground surface from the current situation and the planned land angle through an integrated 3S technology, and identifying the land range and the area upper limit of a intercepting well and a regulating reservoir which can be built;
(2) and carrying out facility arrangement and scale calculation on the split-flow drainage system and the combined-flow drainage system: the method comprises the steps of performing scale calculation on a split drainage system by taking a whole-process cut-off drainage regulation system as a template, and performing scale calculation on a combined drainage system by taking a whole-process drainage regulation system and a tail end sewage interception system as templates; the method comprises the following steps:
step 1: utilizing SWMM model to calculate the scheme of the intercepting well system based on marginal flow rate analysis strategy;
step 2: utilizing the SWMM model to iterate a regulation reservoir system scheme based on a marginal control rate analysis strategy;
according to the site selection analysis result, if the drainage system is a diversion drainage system and the construction of the intercepting well is allowed to have construction land, firstly designing an intercepting well system scheme, and then designing a regulating reservoir system scheme when no intercepting well can be constructed; if the system is a combined drainage system or a intercepting well is not allowed to be built or a land is not built, directly designing a scheme of a regulating and accumulating tank system;
(3) regularized result knowledge of the steps (1) and (2) and established an expert system of the urban runoff pollution control intercepting well and the regulation pool system.
2. An expert system-based method of designing a vatch basin and regulation reservoir system according to claim 1, wherein: the specific steps of the step (1) include:
step 1: determining a boundary range of a design area;
step 2: analyzing and processing the original image data of the urban underlying surface RS, and carrying out underlying surface identification and classification;
step 3: correcting the identification result of the underlying surface in the step 2 by utilizing GPS field positioning;
step 4: processing and converting the result in the step 3 by utilizing a GIS platform, and establishing a current land database based on the GIS platform;
step 5: establishing a planning land database based on a GIS platform according to the planning land drawing;
step 6: establishing a GIS platform-based current situation and planning pipeline comprehensive database according to the current situation pipeline comprehensive census and drawing data and planning pipeline drawing data;
step 7: establishing an artificial decision address selection database based on a GIS platform according to land address selection comments of decision makers;
step 8: and (3) performing spatial analysis on the databases established in the steps 4, 5, 6 and 7 by utilizing the superposition analysis and buffer area analysis functions of the GIS, and determining the optional site positions and the upper limit of the land area of the intercepting well and the regulating reservoir.
3. An expert system-based method of designing a vatch basin and regulation reservoir system according to claim 1, wherein: the specific steps of the step (2) include:
wherein, utilize SWMM model to calculate the scheme of the vatch basin system based on marginal abandon flow rate analytical strategy, including the following substeps:
step 1.1: carrying out hydraulic water quality calculation on a drainage system by utilizing an SWMM drainage model, and entering an iterative step;
step 1.2: defining the net pollutant quantity contained in the unit-scale abandoned flow of the nodes as the marginal abandoned flow rate, analyzing the marginal abandoned flow rate of each settable intercepting well node and sequencing;
step 1.3: selecting the node with the maximum marginal flow discarding rate in the step 1.2 to update the intercepting well, wherein the flow discarding rate is increased according to a unit scale;
step 1.4: analyzing whether the marginal reject rate of the current last unit scale of the rest nodes is reduced compared with that before updating the intercepting well in the step 1.3;
step 1.5: performing the following update for each shut-in well with reduced marginal reject rate in step 1.4;
step 1.5.1: if the marginal reject rate of the analysis node is larger than the maximum marginal reject rate of all nodes after the updating in the step 1.3, the current analysis node does not execute updating, and the node with the next reduced marginal reject rate is analyzed;
step 1.5.2: if the marginal reject rate of the analysis node is smaller than the maximum marginal reject rate of all nodes after updating in the step 1.3, the reject rate of the current analysis node is reduced according to the unit scale until the marginal reject rate is the same as the prior reduction or the same as the current maximum marginal reject rate or other judgment indexes, and the node with the reduced next marginal reject rate is analyzed;
step 1.6: returning to the step 1.1, and performing the next iterative computation, wherein the iterative computation termination condition is shown in the step 1.7;
step 1.7: when the drainage capacity of the sewage system receiving the abandoned flow reaches the upper limit, or the capacity of a downstream sewage lifting pump station reaches the upper limit, or the treatment capacity of a downstream sewage treatment plant reaches the upper limit, or the use of a intercepting well reaches the upper limit, stopping the iterative computation, and entering the scheme design of a regulating and accumulating tank system;
the SWMM model is utilized to iterate the scheme of the regulation and storage pool system based on the marginal control rate analysis strategy, and the scheme comprises the following substeps:
step 2.1: carrying out hydraulic water quality calculation on a drainage system by utilizing an SWMM drainage model, and entering an iterative step;
step 2.2: defining the net quantity of pollutants contained in the unit-scale pool volume of the node as the marginal control rate, analyzing the marginal control rate of each settable regulation pool node and arranging the marginal control rate;
step 2.3: selecting the node with the largest marginal control rate in the step 2.2, updating the regulation pool, and increasing the pool capacity according to the unit scale;
step 2.4: analyzing whether the marginal control rate of the current last unit scale of the rest nodes is reduced compared with that before the step 2.3 of updating the regulating reservoir;
step 2.5: the following update is executed for each regulation pool with the marginal control rate reduced in the step 2.4;
step 2.5.1: if the marginal control rate of the analysis node is greater than the maximum marginal control rate of all nodes after the updating in the step 2.3, the current analysis node does not execute updating, and the node with the next reduced marginal control rate is analyzed;
step 2.5.2: if the marginal control rate of the analysis node is smaller than the maximum marginal control rate of all nodes after updating in the step 2.3, the pool capacity of the current analysis node is reduced according to the unit scale until the marginal control rate is the same as that before reduction or the same as the current maximum marginal control rate or other judgment indexes, and the node with the next reduced marginal control rate is analyzed;
step 2.6: returning to the step 2.1 for the next iterative computation, wherein the iterative computation termination condition is shown in the step 2.7;
step 2.7: and stopping the overlap calculation when the net discharge capacity of pollutants at the discharge port meets the requirements of the environmental capacity or other control indexes of the receiving water body or the land scale of the regulating reservoir reaches the upper limit of the allowable land scale, and completing the design of the system scheme of the regulating reservoir.
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