Adaptive path planning method and device for urban sewage system

Abstract

This application relates to an adaptive path planning method and apparatus for urban wastewater systems. The method includes: collecting target information of the urban wastewater system and determining a set of evolutionary paths that meet preset planning conditions based on the target information; generating a set of candidate schemes for the urban wastewater system based on a coordinated planning scheme for the spatial layout and scale of the urban wastewater system; simulating the renewal and growth process of the urban wastewater system and constructing an adaptive path set for the urban wastewater system based on the adjustment process; planning path planning schemes and paths that meet preset optimal conditions based on average life cycle cost, and executing the path planning schemes and paths that meet the preset optimal conditions. This solves the problem that related urban wastewater system planning technologies can only produce single-stage schemes and cannot consider the adaptation costs to future environmental changes within the system's life cycle, thus failing to support long-term system planning decisions under uncertain conditions such as urban expansion.

Description

Technical Field

[0001] This application relates to the field of urban drainage infrastructure planning and design technology, and in particular to an adaptive path planning method and apparatus for urban sewage systems. Background Technology

[0002] Urban wastewater systems consist of wastewater treatment and reuse plants (hereinafter referred to as "wastewater plants"), wastewater pipe networks, and reclaimed water pipe networks. System planning and design includes determining the location of wastewater plants, the spatial layout and hydraulic parameters (including pipe diameter, burial depth, etc.) of the wastewater pipe network, the location of users using reclaimed water, and the spatial layout and hydraulic parameters of the reclaimed water pipe network. Traditional system planning methods generally address current boundary conditions or predicted boundary conditions for the planning year, employing empirical methods or mathematical optimization to derive a single-stage, deterministic solution. Over a system's lifespan of 50 years or more, with urban expansion, population growth or decline, changes in residents' water usage behavior, and increasing demands from planning decision-makers regarding system energy consumption, total wastewater reuse, and system resilience, systems typically require renovation and expansion to adapt to changing planning conditions. Systems that adopted different solutions in the first planning phase will incur different adaptation costs even under the same future scenarios. Currently, there is no method to consider the system's potential future adaptation costs before making a decision on the solution in the first planning phase.

[0003] Among related technologies, it is possible to obtain a cost-effective and non-inferior solution under each scenario by designing the solution under a baseline scenario and evaluating the solution performance under an uncertain scenario; or by combining techniques such as triangular fuzzy numbers, credibility-constrained programming, two-stage stochastic programming, and interval programming to comprehensively consider the expansion costs of the wastewater treatment plant under various future scenarios and ultimately select the wastewater treatment process with the strongest adaptability when the future wastewater volume increases; or by obtaining the optimal configuration scale of gray-green rainwater facilities to cope with the uncertainty of future rainfall based on a multi-objective robust decision-making framework.

[0004] However, in related technologies, the system boundary considered is limited to the wastewater treatment plant, without considering the plant and network as a whole. Therefore, for future uncertainties, only the increase in wastewater volume can be considered, without considering urban spatial expansion or the increased requirements of planning decision-makers for system operating energy consumption, total wastewater reuse, and resilience. The outputs are all fixed single-stage solutions, that is, based on the basic assumption that "the system will not be modified or expanded, and the same system construction plan will be used to deal with all future scenarios," to find the optimal solution that can simultaneously cope with the baseline planning conditions and future uncertainties. Therefore, the cost of system modification and expansion cannot be considered, and this needs to be improved. Summary of the Invention

[0005] This application provides an adaptive path planning method and apparatus for urban wastewater systems to address the problem that urban wastewater system planning technologies in related technologies can only produce single-stage solutions and cannot consider the adaptation costs to future environmental changes during the system's life cycle, thus failing to support long-term system planning decisions under uncertain conditions such as urban expansion.

[0006] The first aspect of this application provides an adaptive path planning method for an urban wastewater system, comprising the following steps: collecting target information of the urban wastewater system and determining an evolution path set that meets preset planning conditions based on the target information; generating a candidate scheme set for the urban wastewater system based on a spatial layout and scale collaborative planning scheme; simulating the renewal and growth process of the urban wastewater system based on the evolution path set and the candidate scheme set to generate an adjustment process for the urban wastewater system, and constructing an adaptive path set for the urban wastewater system based on the adjustment process; calculating the average life cycle cost of the adaptive path set, planning a path planning scheme and path that meet preset optimal conditions based on the average life cycle cost, and executing the path planning scheme and path that meet the preset optimal conditions.

[0007] Optionally, in one embodiment of this application, after executing the path planning scheme and path that meet the preset optimal conditions, the method further includes: monitoring the path planning conditions and system status of the urban sewage system according to the path planning scheme; determining whether the urban sewage system meets the preset update conditions according to the path planning conditions and the planning status; if the planning conditions deviate from the target planning conditions or the system status deviates from the target system status, then determining that the urban sewage system meets the preset update conditions, updating the urban sewage system, and executing a new path planning scheme.

[0008] Optionally, in one embodiment of this application, the target information of the urban wastewater system includes at least one of the following: regional spatial boundaries within the target period, feasible site selection for urban wastewater system facilities, location of urban wastewater system users, wastewater discharge volume, reclaimed water demand, and target values ​​for urban wastewater system performance.

[0009] Optionally, in one embodiment of this application, the step of constructing the adaptive path set of the urban sewage system according to the adjustment process includes: determining whether the sewage subsystem of the urban sewage system meets the preset scale update conditions based on the sewage discharge volume; if the sewage discharge volume changes, determining that the sewage subsystem meets the preset scale update conditions, updating the sewage pipe network and increasing the sewage treatment scale to obtain a new sewage treatment plant scale; otherwise, determining whether the space of the urban sewage system meets the preset expansion conditions based on the urban area; if the urban area expands, determining that the space of the urban sewage system meets the preset expansion conditions, expanding the space of the urban sewage system to obtain a new urban sewage system space; otherwise, determining whether the space of the urban sewage system meets the preset expansion conditions based on the reclaimed water reuse volume. The system assesses whether the urban wastewater system meets the preset upgrade conditions. If the amount of reclaimed water reused increases, the system is deemed to meet the preset upgrade conditions. The reclaimed water subsystem is then updated, and the reclaimed water treatment capacity is increased to obtain a new reclaimed water pipeline network. Otherwise, the system determines whether the inter-plant water transfer pipeline meets the preset land occupation conditions based on the scale of the wastewater treatment plant. If the scale of the wastewater treatment plant does not meet the land occupation constraints, the inter-plant water transfer pipeline does not meet the preset land occupation conditions. An inter-plant water transfer pipeline is then constructed to obtain a new water transfer pipeline. The system uses the new wastewater treatment plant scale, the new urban wastewater system space, the new reclaimed water pipeline network, and the new water transfer pipeline to simulate the renewal and growth process of the urban wastewater system, generating an adaptive path set for the urban wastewater system.

[0010] Optionally, in one embodiment of this application, calculating the average lifecycle cost of the adaptive path set includes: obtaining the construction cost and discounted cost of the urban wastewater system; and calculating the average lifecycle cost based on the construction cost and the discounted cost.

[0011] A second aspect of this application provides an adaptive path planning device for an urban wastewater system, comprising: a data acquisition module for acquiring target information of the urban wastewater system and determining an evolution path set that meets preset planning conditions based on the target information; a generation module for generating a candidate scheme set for the urban wastewater system based on a spatial layout and scale collaborative planning scheme; a construction module for simulating the renewal and growth process of the urban wastewater system based on the evolution path set and the candidate scheme set to generate an adjustment process for the urban wastewater system, and constructing an adaptive path set for the urban wastewater system based on the adjustment process; and a planning module for calculating the average life cycle cost of the adaptive path set, planning a path planning scheme and path that meet preset optimal conditions based on the average life cycle cost, and executing the path planning scheme and path that meet the preset optimal conditions.

[0012] Optionally, in one embodiment of this application, it further includes: a monitoring module, configured to monitor the path planning conditions and system status of the urban sewage system according to the path planning scheme after executing the path planning scheme and path that meet the preset optimal conditions, and determine whether the urban sewage system meets the preset update conditions according to the path planning conditions and the planning status; and an update module, configured to determine that the urban sewage system meets the preset update conditions and update the urban sewage system when the planning conditions deviate from the target planning conditions or the system status deviates from the target system status, so as to execute a new path planning scheme.

[0013] Optionally, in one embodiment of this application, the target information of the urban wastewater system includes at least one of the following: regional spatial boundaries within the target period, feasible site selection for urban wastewater system facilities, location of urban wastewater system users, wastewater discharge volume, reclaimed water demand, and target values ​​for urban wastewater system performance.

[0014] Optionally, in one embodiment of this application, the construction module includes: a judgment unit, configured to determine whether the sewage subsystem of the urban sewage system meets the preset scale update conditions based on the sewage discharge volume; a first update unit, configured to determine that the sewage subsystem meets the preset scale update conditions when the sewage discharge volume changes, update the sewage pipe network and increase the sewage treatment scale to obtain a new sewage treatment plant scale, otherwise determine whether the space of the urban sewage system meets the preset expansion conditions based on the urban area; and an expansion unit, configured to determine that the space of the urban sewage system meets the preset expansion conditions when the urban area expands, expand the space of the urban sewage system to obtain a new urban sewage system space, otherwise determine whether the urban sewage system meets the preset expansion conditions based on the amount of reclaimed water reuse. The preset improvement conditions; the second update unit, used to determine that the urban sewage system meets the preset improvement conditions when the amount of reclaimed water reuse increases, update the reclaimed water pipeline network and increase the scale of reclaimed water treatment to obtain a new reclaimed water pipeline network; otherwise, it determines whether the inter-sewage plant water transfer pipeline meets the preset land occupation conditions based on the scale of the sewage treatment plant; the construction unit, used to determine that the inter-sewage plant water transfer pipeline does not meet the preset land occupation conditions when the scale of the sewage treatment plant does not meet the land occupation constraints, construct the inter-sewage plant water transfer pipeline to obtain a new water transfer pipeline; the simulation unit, used to simulate the update and growth process of the urban sewage system using the new sewage treatment plant scale, the new urban sewage system space, the new reclaimed water pipeline network and the new water transfer pipeline, and generate an adaptive path set for the urban sewage system.

[0015] Optionally, in one embodiment of this application, the planning module includes: an acquisition unit for acquiring the construction cost and discounted cost of the urban sewage system; and a calculation unit for calculating the average life cycle cost based on the construction cost and the discounted cost.

[0016] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the adaptive path planning method for an urban wastewater system as described in the above embodiments.

[0017] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the adaptive path planning method for an urban wastewater system as described above.

[0018] A fifth aspect of this application provides a computer program product that stores a computer program that, when executed by a processor, implements the adaptive path planning method for an urban wastewater system as described above.

[0019] This application's embodiments can represent the adaptive path planning problem of urban wastewater systems as a decision-making problem that minimizes the sum of the current system construction cost and the system adaptation costs under multiple future scenario paths. By sampling future scenario paths as broadly as possible, it examines the system's ability to adapt to future uncertainties. Furthermore, it transforms the construction of future urban wastewater system construction paths into a single-stage system planning problem that can be solved more easily by addressing the periodic updates of wastewater subsystems, system spatial expansion, reclaimed water subsystem updates, and the construction of inter-treatment water transfer pipelines. This solves the problem that related technologies for urban wastewater system planning can only produce single-stage solutions and cannot consider the adaptation costs to future environmental changes throughout the system's lifecycle, thus failing to support long-term system planning decisions under uncertain conditions such as urban expansion.

[0020] Additional aspects and advantages of the present application will be given in part in the description below, and in part will become apparent from the description below, or will be learned through practice of the present application. Attached Figure Description

[0021] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0022] Figure 1 This is a flowchart of an adaptive path planning method for an urban wastewater system provided according to an embodiment of this application;

[0023] Figure 2This is a general flowchart of an adaptive path planning method for an urban wastewater system according to an embodiment of this application;

[0024] Figure 3 An adaptive path construction diagram of an adaptive path planning method for an urban wastewater system according to an embodiment of this application;

[0025] Figure 4 This is a schematic diagram of the structure of an adaptive path planning device for an urban sewage system according to an embodiment of this application;

[0026] Figure 5 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application. Detailed Implementation

[0027] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0028] The adaptive path planning method and apparatus for urban wastewater systems according to embodiments of this application are described below with reference to the accompanying drawings. Addressing the problem mentioned in the background art that urban wastewater system planning technologies can only produce single-stage solutions and cannot consider the adaptation costs to future environmental changes throughout the system's lifecycle, thus failing to support long-term system planning decisions under uncertain conditions such as urban expansion, this application provides an adaptive path planning method for urban wastewater systems. In this method, the adaptive path planning problem for urban wastewater systems can be expressed as a decision problem that minimizes the sum of the current system construction cost and the system adaptation costs under multiple future scenario paths. By sampling future scenario paths as broadly as possible, the system's ability to adapt to future uncertainties is examined. Furthermore, the construction of future construction paths for urban wastewater systems is transformed into a single-stage system planning problem that can be solved more easily by solving periodically the wastewater subsystem renewal, system spatial expansion, reclaimed water subsystem renewal, and inter-plant water transfer pipeline construction. Therefore, this solves the problem that urban wastewater system planning technologies in the related art can only produce single-stage solutions and cannot consider the adaptation costs to future environmental changes throughout the system's lifecycle, thus failing to support long-term system planning decisions under uncertain conditions such as urban expansion.

[0029] Specifically, Figure 1 This is a flowchart illustrating an adaptive path planning method for an urban wastewater system provided in an embodiment of this application.

[0030] Before introducing the adaptive path planning method for urban wastewater systems proposed in the embodiments of this application, the adaptive path planning problem involved in this method will be introduced first.

[0031] This application first generalizes the adaptive path planning problem into a constrained intertemporal decision problem with uncertain inputs (Equations (1) to (4)). Then, it proposes four basic steps to solve this decision problem: information gathering and uncertainty identification, initial solution set generation, adaptive path construction, and path comparison and decision-making. Finally, the initial solution from the selected path set is executed, and as time progresses, the system update solution is gradually implemented based on changes in monitored external conditions. The overall process of the method is as follows: Figure 2 As shown.

[0032] Mathematical generalization of the adaptive path planning problem

[0033]

[0034]

[0035] S i0 ∈{S i0 |i = 1, ..., N solu}=systemgenerator(C0), (3)

[0036] SP ij =pathwaymodel(S i0 ,CP j (4)

[0037]

[0038] Among them, SP ij This represents an adaptive path (or simply path), which includes the initial system construction plan S. i0 And a sequence of system update schemes for future periods. (Equation (5)); CP j This represents a planning condition evolution path (referred to as a scenario), including the initial planning condition C0 and a possible sequence of planning conditions for future periods. (Equation (6)).

[0039]

[0040]

[0041] Equation (1) represents the decision variables and decision objectives of the above decision problem.

[0042] The decision variable is i (with values ​​ranging from 1 to N).solu ), representing a set of adaptive paths {SP ij |j = 1, ..., N path}, its element SP ij Represents CP in a given scenario j The adaptive path of the system. For any path SP in this set... ij The first element of each of them is S i0 This is independent of the scenario number j, meaning the initial solution obtained from the decision is deterministic; path SP ij Scheme S for the future ijt The variation with j indicates that different system update schemes exist depending on the specific changes in future scenarios. Here, the subscript t represents the time node considered in adaptive path planning (in years), with a value range of 1, ..., T. max This corresponds to various points in time after the initial planning scheme is completed, where the scenario may change, necessitating updates to the system plan. These points should include key milestones in the urban development plan (e.g., the planned completion year of a new urban area, and its planned population and economic scale up to that year), extending to the furthest possible timeframe considered in existing urban development plans. t It is the discount factor; if the annual interest rate is x, then... Year(t) is the year corresponding to period t, such as 2050, and Year(0) is the year corresponding to t=0, such as 2020.

[0043] The decision objective is to minimize the weighted average lifecycle cost of the system, i.e., S. i0 Cost (f) cost (S i0 Add the discounted cost of update plans under all future scenarios. The weighted average, where w j It is the weight assigned to scenario j, satisfying

[0044] Equations (2) to (4) characterize the constraints of the decision-making process. Equation (2) means that the system's wastewater recovery volume, operating energy consumption, system resilience, and other performance characteristics in each period are not worse than the given target values. These represent the limits for the initial stage and the nth target in period t, respectively; "≥" indicates not inferior to, which may be greater than or equal to, or less than or equal to, depending on the planning target itself. Equation (3) refers to the initial system construction scheme S. i0 The candidate set {S i0 |i = 1, ..., N solu The initial plan S is generated by the given generator systemgenerator based on the initial planning conditions C0. Equation (4) refers to the initial plan S.i0 and the evolution path of planning conditions CP j The adaptive path of the system is calculated by the given method `pathwaymodel`. The specific methods referred to by `systemgenerator` and `pathwaymodel` are shown below.

[0045] like Figure 1 As shown, the adaptive path planning method for this urban wastewater system includes the following steps:

[0046] In step S101, target information of the urban sewage system is collected, and an evolution path set that meets the preset planning conditions is determined based on the target information.

[0047] It is understood that the set of evolution paths that meet the preset planning conditions in the embodiments of this application can be a set of future scenario evolution paths.

[0048] In actual implementation, the adaptive path planning in this embodiment first requires collecting basic information, mainly determining a set of future scenario evolution paths {CP}. j |j = 1, ..., N path This provides support for subsequent simulations of system updates and growth processes under multi-stage dynamic boundaries.

[0049] It should be noted that the preset planning conditions can be set by those skilled in the art according to the actual situation, and no specific restrictions are imposed here.

[0050] In one embodiment of this application, the target information of the urban wastewater system includes at least one of the following: regional spatial boundaries within the target period, feasible site selection for urban wastewater system facilities, location of urban wastewater system users, wastewater discharge volume, reclaimed water demand, and target values ​​for urban wastewater system performance.

[0051] It is understood that the target period in the embodiments of this application can be any period of the urban sewage system.

[0052] In actual implementation, the embodiments of this application may include the regional spatial boundaries, feasible site selection of system facilities, location of system users, wastewater discharge volume and reclaimed water demand for each period, as well as determining the target value of system performance for each period. Based on the above information, support will be provided for improving the scientific nature and effectiveness of urban wastewater system planning and decision-making.

[0053] (I) Regional Spatial Boundaries

[0054] The urban spatial scope of the first planning period can be obtained through on-site inspections and review of urban planning documents. The following three methods can be used to set the spatial boundary scenarios for future periods: (1) For areas with slow urbanization growth, it can be assumed that the future urban spatial scope will remain unchanged; (2) If urban planning information for a certain period in the future is known, then the urban spatial boundary for that period can be fixed, and several expansion paths can be set between the initial stage and that period, such as the new urban area being built on schedule at once, built several years in advance, or built in phases; (3) If the urbanization rate is likely to increase further, but there is no new urban area construction plan, the scope of urban expansion in each future year can be given first based on the land use change prediction model or subjective judgment, and then the proportion and distribution of land use types for the new urban area can be set with reference to the existing urban area.

[0055] (ii) Feasible site selection for system facilities

[0056] After obtaining the urban spatial scope and land use types for each period, feasible site selection for wastewater treatment plants should be determined based on factors such as location, topography, and water system distribution, in accordance with relevant standards. Feasible routes for wastewater and reclaimed water pipelines should be determined based on the urban planning road network. After identifying system users and their needs, as well as system design constraints, it should be checked and ensured that feasible pipeline routes can reach all system users, and that the area of ​​feasible wastewater treatment plant sites can support a total plant capacity greater than or equal to the total wastewater discharge under any scenario.

[0057] (III) Location of System Users

[0058] First, based on the urban land use types of different periods, wastewater user units and reclaimed water user units are generalized. Each user unit is considered as a whole in the following planning, and its internal subdivision is not further refined. The specific division principles are as follows:

[0059] (1) Generally, areas that belong to the same urban land use type and are spatially adjacent are divided into the same user unit.

[0060] (2) When there is both sewage discharge and reclaimed water demand in the same spatial area, they should be regarded as a sewage user unit and a reclaimed water user unit respectively.

[0061] (3) Each wastewater / reclaimed water user is connected to the network as a whole from a single wastewater / reclaimed water pipeline node, ignoring the wastewater or reclaimed water pipelines within the user's premises. Therefore, spatial areas that may be connected to the network from multiple nodes should not be classified as belonging to the same user.

[0062] (4) Each reclaimed water user should choose whether or not to use reclaimed water as a whole. It is possible to further divide the area into areas that use and do not use reclaimed water, and they should not be classified as the same reclaimed water user.

[0063] (iv) Wastewater discharge and reclaimed water demand of system users

[0064] Wastewater discharge volume is based on its area (Area) it ), total regional population (Pop t ), per capita wastewater discharge (q) w,t The result is obtained through calculation. Where u it It is a 0-1 variable, representing whether the city boundary at time t includes user i, which is determined by the scenario of the city spatial boundary.

[0065]

[0066] The demand for reclaimed water equals the sum of demand for building toilet flushing, green space irrigation, and other needs. The water demand for building toilet flushing equals the user's land area, the average population density of the area, and the per capita water consumption for toilet flushing (q). resi,t The water consumption for green space irrigation is equal to the user's land area and greening rate (%Green). it ) and water consumption per unit area of ​​green space (q) green，t The product of ) . Q′ r，it This represents all other reclaimed water needs, including river replenishment.

[0067]

[0068] When setting scenarios for user needs in different future periods, you can directly specify Q for each period. w ,it、Q r,it The scenario can also be applied to Pop. t q w,t q resi,t q green，t %Green it Different scenarios were set up, and combinations were used to obtain different wastewater discharge volumes and reclaimed water demands. Other reclaimed water demands Q′ r，it Decision-makers need to determine this based on the specific circumstances of the region.

[0069] (V) Target values ​​for system performance

[0070] Based on the decision-makers' needs, clarify whether there are binding targets at each time point. If so, determine the limits for these binding targets. Let the limit for the nth planning target in period t be denoted as... Undefined targets are considered as uncertainties in future planning. It is assumed that the planning target value in any period is no worse than the system's performance level f in the previous period. n (S ij(t-1) And it is not better than the theoretical optimal value f of the objective. n，sup ,Right now Based on these upper and lower limits, scenario settings are made for the planning target limits for each period.

[0071] After obtaining the possible scenarios of the planning conditions in each period, enumerate all possible scenarios for each period to obtain the conditional path set {CP}. j |j = 1, ..., N path If we consider T together max There are +1 time points, and at t=1 there are s1 spatial boundary scenarios, each of which has s2 subsequent scenarios at t=2, and so on, resulting in a total of Different spatial boundary evolution paths; similarly, if wastewater discharge, reclaimed water demand, and planning objectives each have their own... If there are 3 different evolutionary paths, then the total number of conditional paths is...

[0072] When the number of paths, Npath, is too large, causing excessive computation time for constructing adaptive paths, a subset of paths should be extracted as representative. The sampling method is as follows: For changes in urban spatial boundaries and land use types, all possible evolution paths should be retained. For user wastewater discharge and reclaimed water demand, to ensure the sample covers both extreme and intermediate values ​​for each period, the following sampling procedure can be used:

[0073] (1) Set the number of target paths

[0074] (2) Use the initial class center selection algorithm in the k-means++ algorithm to select... One path, representing an extreme scenario;

[0075] (3) In the remaining paths, use the k-means clustering algorithm to obtain A final cluster center, or, in addition to the extreme cases already selected in the above steps, a simple random selection. One sample is used as a representative of the intermediate scenario.

[0076] In step S102, a set of candidate schemes for the urban sewage system is generated based on the spatial layout and scale collaborative planning scheme of the urban sewage system.

[0077] It is understood that the candidate scheme set in the embodiments of this application can be a system construction scheme set {S} that meets the initial planning condition C0 requirement. i0 |i = 1, ..., N soiu}, which is the set of candidate solutions.

[0078] Specifically, embodiments of this application may include:

[0079] (a) Candidate Solution Set S i0 It should include the following:

[0080] (1) The number, location, sewage treatment capacity, and reclaimed water treatment capacity of sewage treatment plants;

[0081] (2) The route of the sewage pipe network, and the length, diameter, starting point burial depth and ending point burial depth of each pipe;

[0082] (3) Location, design flow rate, and lifting height of the sewage pumping station;

[0083] (4) The route of the reclaimed water pipeline network and the diameter of each pipe;

[0084] (5) User-pipeline connection relationship, that is, the connection relationship between each sewage user and sewage pipeline node;

[0085] (6) Sewage treatment plant-pipeline connection relationship, that is, the connection relationship between each sewage user and sewage pipeline node.

[0086] (ii) The candidate solution set should meet the following requirements:

[0087] (1) Functional consistency: S of each candidate solution i0 All should meet the requirements of planning condition C0, that is, they should be consistent in terms of the users of the service, design constraints, and the binding target limits to be achieved.

[0088] (2) Structural diversity: S of each candidate scheme i0 The system structure (including the location of wastewater treatment plants, the location of wastewater pumping stations, and the routing of wastewater and reclaimed water pipelines) and the values ​​of non-constrained objectives should be diverse.

[0089] (3) Cost-effectiveness: S for each candidate solution i0 There is no dominance relationship between any two options, meaning that one option is superior to the other in a certain planning objective and is not inferior to the other in all other planning objectives.

[0090] (III) Generation Method

[0091] Theoretically, this step can be achieved using any method that meets the above requirements. Each solution S i0 In the mathematical expression of the content, the generation of the system scheme can be generalized into a constrained multi-objective mathematical optimization problem, and its efficient solution can be achieved based on the ant colony algorithm.

[0092] Furthermore, without the aid of a mathematical model, the initial set of solutions should be generated according to the following process:

[0093] (1) Selection of wastewater treatment plant locations: Under the condition of satisfying the land constraints, simple random sampling is used to randomly select several combinations from the candidate locations of wastewater treatment plants, covering the number of wastewater treatment plants from 1 to N. p (N p= The number of candidate locations for wastewater treatment plants.

[0094] (2) Wastewater treatment plant service area allocation: Based on the combination of various wastewater treatment plant locations, different wastewater users and potential reclaimed water users are allocated to each water plant according to the principles of elevation and proximity.

[0095] (3) Sewage pipe network layout and hydraulic parameter design: Based on the principle of using gravity drainage as much as possible, the layout of the sewage pipe network is determined according to the ground elevation. Then, the design flow of the sewage pipe is calculated, and the hydraulic parameters of the pipe are designed according to the design standards.

[0096] (4) Selection of reclaimed water users: First, set several target limits for total wastewater reuse at equal intervals between 0 and the theoretical maximum wastewater reuse volume. For the total wastewater reuse volume of various types, start with the potential reclaimed water users closest to each wastewater treatment plant and gradually select reclaimed water users until their total reclaimed water demand reaches the set total wastewater reuse volume.

[0097] (5) Reclaimed water pipeline layout and hydraulic parameter design: With the goal of minimizing the total length of the pipeline, each user of reclaimed water is connected to the nearest sewage treatment plant. The design flow rate of the reclaimed water pipeline is calculated, and the hydraulic parameters of the pipeline are designed according to the design standards.

[0098] In step S103, based on the evolution path set and candidate scheme set, the renewal and growth process of the urban sewage system is simulated to generate the adjustment process of the urban sewage system, and an adaptive path set of the urban sewage system is constructed according to the adjustment process.

[0099] In actual implementation, the embodiments of this application can select, for each period t, the one that satisfies the current planning conditions C based on the evolution path set and the candidate scheme set. jt (including planning target limits) This study aims to determine the least-cost adaptive measures to simulate how future decision-makers adjust urban wastewater system plans based on current planning conditions. The goal is to obtain the adaptive costs required for the system under various future scenarios, serving as a basis for decision-making regarding the current plan. The adaptive path construction is guaranteed to be based on a given set of path {CP}. j Under the premise of}, for each initial scheme S i0 Construct its adaptive path set {SP ij}

[0100] Optionally, in one embodiment of this application, constructing an adaptive path set for the urban wastewater system according to the adjustment process includes: determining whether the wastewater subsystem of the urban wastewater system meets the preset scale update conditions based on the wastewater discharge volume; if the wastewater discharge volume changes, determining that the wastewater subsystem meets the preset scale update conditions, updating the wastewater pipe network and increasing the wastewater treatment scale to obtain a new wastewater treatment plant scale; otherwise, determining whether the space of the urban wastewater system meets the preset expansion conditions based on the urban area; if the urban area expands, determining that the space of the urban wastewater system meets the preset expansion conditions, expanding the space of the urban wastewater system to obtain a new urban wastewater system space; otherwise, determining based on the amount of reclaimed water reuse... The system assesses whether the urban wastewater system meets the preset upgrade conditions. If the amount of reclaimed water reuse increases, the system is deemed to meet the preset upgrade conditions. The reclaimed water subsystem is then updated, and the reclaimed water treatment capacity is increased to obtain a new reclaimed water pipeline network. Otherwise, the system assesses whether the inter-plant water transfer pipeline meets the preset land occupation conditions based on the scale of the wastewater treatment plant. If the scale of the wastewater treatment plant does not meet the land occupation constraints, the inter-plant water transfer pipeline does not meet the preset land occupation conditions. The inter-plant water transfer pipeline is then constructed to obtain a new water transfer pipeline. The system uses the new wastewater treatment plant scale, the new urban wastewater system space, the new reclaimed water pipeline network, and the new water transfer pipeline to simulate the renewal and growth process of the urban wastewater system, generating an adaptive path set for the urban wastewater system.

[0101] In this embodiment, the overall process of adaptive path construction is a triple loop that traverses each initial scheme, each conditional path, and each period. Given a time node t and the system scheme S of the previous period... ij(t-1) and conditional path CP j Then, examine C one by one. jt Wastewater discharge, reclaimed water demand, and urban spatial boundaries relative to the previous period C j(t-1) Are there any changes, and take the corresponding steps to generate adaptive measures S. ijt S ijt The content includes:

[0102] (1) Wastewater treatment plant renovation plan: For wastewater treatment plants with insufficient wastewater and / or reclaimed water treatment capacity, expand their treatment capacity.

[0103] (2) Wastewater pipeline network renovation plan: For wastewater pipelines that are overloaded and do not meet design constraints, construct a new parallel pipeline. For wastewater pumping stations with insufficient lifting capacity, expand their scale.

[0104] (3) Reclaimed water pipeline network upgrade plan: To meet the increased demand from new reclaimed water users and existing users, a new reclaimed water pipeline network will be built.

[0105] (4) Construction plan for water transfer pipeline between sewage treatment plants: When a sewage treatment plant expands its scale and violates the land use constraints, a water transfer pipeline between sewage treatment plants will be constructed to transfer the excess water volume to other sewage treatment plants with sufficient land for expansion.

[0106] (5) System Expansion Plan: Construct wastewater and reclaimed water systems for new users added after urban expansion. Users can choose to connect to newly built wastewater treatment plants or existing ones. When connecting to existing wastewater treatment plants, their treatment capacity will be expanded accordingly to meet user needs. Regardless of whether the user connects to a newly built or existing wastewater treatment plant, the pipeline connecting the user and the wastewater treatment plant will be entirely newly built and will not pass through existing wastewater or reclaimed water pipeline networks.

[0107] Generate S ijt Specifically, it includes four sub-steps, and the relationship between the sub-steps is as follows: Figure 3 As shown, the specific details of each sub-step are as follows:

[0108] ① Wastewater subsystem upgrade

[0109] This includes sewage network upgrades and expansion of sewage treatment capacity. Based on the network topology and user sewage discharge, the design flow rates after the upgrades are calculated. The expansion of sewage treatment capacity equals the difference between the new design flow rate and the existing capacity. If the new design flow rate is less than the existing capacity, no upgrade is needed. During sewage network upgrades, the liquid level of all pipes under the new sewage flow rate is simulated first. Pipes whose fill degree does not meet the constraints are identified, and a parallel pipe is constructed for them. Assuming the starting burial depth of the constructed pipe is the same as the original pipe, its pipe diameter and ending burial depth are used as decision variables, and the hydraulic parameters of the parallel pipe are obtained with the goal of minimizing cost. The actual fill degree of the entire network is verified, and pipes that do not meet the constraints are upgraded until the fill degree of all pipes meets the constraints.

[0110] ②System space expansion

[0111] This step is performed when new wastewater and reclaimed water users emerge due to urban expansion. First, the target limits required for the new system are calculated. The target limits for reclaimed water reuse and operating energy consumption of the new system are equal to the specified target limits for the entire system minus the reclaimed water reuse or operating energy consumption of the existing system. The resilience limit is equal to the specified target limits. Then, wastewater treatment plants in the existing urban area that no longer meet land constraints after expansion are considered as equivalent wastewater users, and wastewater treatment plants with expansion potential are considered as feasible equivalent wastewater treatment plant sites. These are considered together with the feasible sites for wastewater users and treatment plants in the new urban area, thus transforming the generation of system spatial expansion schemes into system planning for the new urban area. Scheme generation follows the steps described above. Scheme generation aims to minimize costs and requires achieving the binding targets for that period, without considering non-binding targets.

[0112] ③ Reclaimed water subsystem upgrade

[0113] This includes the construction of reclaimed water pipeline networks and the expansion of reclaimed water treatment capacity. The new design flow rate for reclaimed water treatment is calculated only if the existing urban area exists, based on the pipeline topology and the reclaimed water demand of users. The expansion of reclaimed water treatment capacity equals the difference between the new design flow rate and the existing capacity. If the new design flow rate is less than the existing capacity, no upgrade is needed. When upgrading the reclaimed water pipeline network, if the demand of existing reclaimed water users increases, the maximum delivery capacity of the existing network to each user is first calculated. For user demands that cannot be met and for newly emerging reclaimed water users within the old urban area, a new reclaimed water pipeline network is planned in a unified manner. Using pipeline layout and pipe diameter as decision variables and minimizing cost as the objective, the design scheme for the new reclaimed water pipeline network is solved.

[0114] ④ Construction of inter-treatment water transfer pipelines

[0115] This step is taken when the urban spatial scope remains unchanged, and the expanded scale of a wastewater treatment plant violates land use constraints. The planning of water transfer pipelines aims to minimize costs. The planning of inter-wastewater treatment plant water transfer pipelines should meet the following requirements:

[0116] a. Excess wastewater from each water plant should be transferred to the same water plant as much as possible, or the number of receiving water plants should be minimized.

[0117] b. The water diversion pipeline shall be constructed along the candidate path of the sewage pipeline network specified in the above steps, and it is allowed to overlap with the route of the existing sewage pipeline network;

[0118] c. The water transfer pipelines of different water plants are independent of each other, and their paths are allowed to overlap;

[0119] d. The design flow rate of the water transfer pipeline is equal to the excess flow rate of the water plant. The hydraulic constraints that the pipeline parameter design must meet are the same as those of ordinary sewage pipelines.

[0120] In actual implementation, the embodiments of this application can update the sewage pipe network and increase the sewage treatment scale to obtain a new sewage plant scale, expand the space of the urban sewage system to obtain a new urban sewage system space, update the reclaimed water subsystem and increase the reclaimed water treatment scale to obtain a new reclaimed water pipe network, and construct inter-sewage plant water transfer pipelines to obtain a new water transfer pipeline. This simulates the renewal and growth process of the urban sewage system, generates an adaptive path set for the urban sewage system, and transforms the construction of the future construction path of the urban sewage system into four simpler single-period system planning problems: sewage subsystem renewal, system space expansion, reclaimed water subsystem renewal, and construction of inter-sewage plant water transfer pipelines. This improves the scientificity and effectiveness of urban sewage system planning decisions.

[0121] It should be noted that the preset scale update conditions, preset expansion conditions, preset upgrade conditions, and preset land occupation conditions can be set by those skilled in the art according to the actual situation, and no specific restrictions are imposed here.

[0122] In step S104, the average lifecycle cost of the adaptive path set is calculated, and a path planning scheme and path that meet the preset optimal conditions are planned based on the average lifecycle cost, and the path planning scheme and path that meet the preset optimal conditions are executed.

[0123] It is understood that the path planning scheme that meets the preset optimal conditions in the embodiments of this application can be the optimal scheme (the only scheme).

[0124] As one possible implementation, embodiments of this application can calculate the average lifecycle cost of the adaptive path set corresponding to the initial solutions after the initial candidate solution set generation and adaptive path construction stages. Wherein, the discount rate r... t This reflects the time value of money. The smaller the discount rate, the smaller the impact of future costs on the present. j It depends on the emphasis placed on different future scenarios, and there are multiple selection methods depending on the decision-maker's degree of risk aversion:

[0125] a. Risk neutrality, considering all possible future conditions and paths, i.e., let w j ≡w * ;

[0126] b. Risk aversion leads to conservative decision-making, considering only the worst-case scenario, i.e., the path with the highest cost (e.g., 5% or 50%). j ≡w*, the rest w j =0;

[0127] c. Only consider scenarios where the future costs of each option differ significantly, ignoring scenarios where the future costs are similar; that is, consider the conditional path w where the difference in the adaptive costs of each option exceeds a certain threshold. j ≡w*, the rest w j =0;

[0128] d. Assign different subjective weights to different scenarios. (w* is to make (constant)

[0129] Finally, the average lifecycle cost of the solution is compared with the initial performance f. 10 , ..., f n0 Using these as evaluation indicators, strictly inferior solutions in the candidate solution set are eliminated. From the remaining solutions, a unique path planning solution is selected based on the decision-maker's emphasis on or requirements for each objective, and then proceeds to the execution phase.

[0130] This application embodiment can obtain from the candidate scheme set {S i0 Select the initial plan S from the given list. a0 Entering the implementation phase, adaptive path planning for urban wastewater systems has been achieved. This means that the system construction plan to be adopted in the first phase and the system update plan to be adopted under different scenarios in subsequent periods are given at the same time. This optimizes the construction and development path under dynamic boundary conditions within the life cycle of urban wastewater systems, overcomes the shortcomings of current system planning that produces single-stage plans for fixed time nodes, and thus improves the scientificity and effectiveness of urban wastewater system planning decisions.

[0131] It should be noted that the preset optimal conditions can be set by those skilled in the art according to the actual situation, and no specific restrictions are imposed here.

[0132] Optionally, in one embodiment of this application, calculating the average lifecycle cost of the adaptive path set includes: obtaining the construction cost and discounted cost of the urban wastewater system; and calculating the average lifecycle cost based on the construction cost and discounted cost.

[0133] In practical implementation, the embodiments of this application can obtain the construction cost and discounted cost of the urban wastewater system, and calculate the average life cycle cost based on the construction cost and discounted cost. The embodiments of this application can represent the adaptive path planning problem of the urban wastewater system as a decision problem that minimizes the sum of the current system construction cost and the system adaptation costs under multiple future scenario paths. This allows for the examination of the system's ability to adapt to future uncertainties by sampling the future scenario paths as broadly as possible.

[0134] Optionally, in one embodiment of this application, after executing a path planning scheme and path that meets preset optimal conditions, the method further includes: monitoring the path planning conditions and system status of the urban sewage system according to the path planning scheme; determining whether the urban sewage system meets preset update conditions based on the path planning conditions and planning status; if the planning conditions deviate from the target planning conditions or the system status deviates from the target system status, then determining that the urban sewage system meets the preset update conditions, updating the urban sewage system, and executing a new path planning scheme.

[0135] Specifically, this application embodiment can monitor the path planning conditions and system status of the urban sewage system according to the path planning scheme. Based on the path planning conditions and planning status, it can determine whether the urban sewage system meets the preset update conditions. When the next decision time node t=1 is reached, the planning conditions are examined, and the system status is comprehensively monitored. Table 1 shows the monitoring indicators and measures to be taken after the implementation of the scheme. As shown in Table 1:

[0136] Table 1

[0137]

[0138]

[0139] Among these measures, the influent flow monitoring of wastewater treatment plants should be conducted continuously for at least one month for all wastewater treatment plants; the fullness of the wastewater pipe network should also be continuously monitored for 7 days for at least 30% of the pipes within the service area of ​​each wastewater treatment plant; and the demand for reclaimed water should be obtained through sampling surveys of households, covering at least 30% of users.

[0140] If the planning conditions or system state have deviated from C0, or the system operation state violates design constraints, then the urban wastewater system is determined to meet certain renewal conditions, and the urban wastewater system is renewed to implement a new path planning scheme. Within the set of conditional paths, it is examined whether a certain C exists. b1 The planning conditions are the same as or similar to those observed, where the urban spatial boundary must be consistent with scenario C. b1 Exactly the same, other continuous variables are allowed a deviation within 10%. If such a C exists... b1 Then execute the planning scheme S. ab1 (where a is the selected initial scheme S) a0 If the index is not specified, return to the problem description and information gathering phase and restart adaptive path planning. This process continues until t=2.

[0141] If continuous monitoring of the system status is possible, the subsequent decision-making timelines are not entirely fixed once the implementation phase begins. If, when the timeline falls between two decision-making timelines, it is discovered that the system requires an update, and the decision-maker allows for earlier planning decisions, the construction time for the next phase of the plan can be brought forward. Conversely, if, upon reaching the next decision-making timeline, the planning conditions have not changed significantly and remain close to C0, the construction time for the plan in the path can be postponed accordingly.

[0142] It should be noted that the preset update conditions can be set by those skilled in the art according to the actual situation, and no specific restrictions are imposed here.

[0143] Specifically, applying this application to the wastewater system planning of the Xiong'an New Area's initial development zone yields the following improvements: For the first planning phase, all six initial schemes proposed in this application can simultaneously reduce costs and improve resilience, with cost reductions ranging from 7% to 13% and resilience increases ranging from 5% to 25%. For future periods, traditional planning schemes, which provide a one-time system spatial layout for all periods without adopting adaptive pathways, cannot meet the requirements for increasing future resilience targets. Examining 270 conditional pathways without considering resilience targets, and only taking into account urban boundary expansion, wastewater discharge fluctuations, and the increase in reclaimed water users, the adaptive pathway sets corresponding to the six initial schemes proposed in this invention achieve cost reductions for future system upgrades in 89% to 97% of the conditional pathways.

[0144] Specifically, it can be combined with Figure 3 As shown, the working principle of the adaptive path planning method for urban sewage systems in this application is explained in detail with a specific embodiment.

[0145] like Figure 3 As shown, embodiments of this application may include the following steps:

[0146] Step S301: Determine if the wastewater discharge volume has changed. If yes, proceed to step S302; if no, proceed to step S304.

[0147] Step S302: Wastewater subsystem update.

[0148] Step S303: Obtain the updated wastewater treatment plant scale.

[0149] Step S304: Determine if the city area has expanded. If yes, proceed to step S305; otherwise, proceed to step S306.

[0150] Step S305: System space expansion.

[0151] Step S306: Determine whether the planned target for reclaimed water reuse has been increased. If yes, proceed to step S307; otherwise, proceed to step S308.

[0152] Step S307: Update the reclaimed water subsystem.

[0153] Step S308: Determine if any wastewater treatment plant does not meet the land use constraints. If yes, proceed to step S310; otherwise, end the process.

[0154] Step S309: Determine whether the amount of reclaimed water reused in the new urban area meets the planning target requirements. If yes, end the process; if no, proceed to step S307.

[0155] Step S310: Construction of inter-treatment water transfer pipelines.

[0156] The adaptive path planning method for urban wastewater systems proposed in this application can be expressed as a decision problem that minimizes the sum of the current system construction cost and the system adaptation costs under multiple future scenario paths. By sampling future scenario paths as broadly as possible, the system's ability to adapt to future uncertainties is examined. Furthermore, the construction of future construction paths for urban wastewater systems is transformed into a single-period system planning problem that can be solved more easily by addressing the periodic updates of wastewater subsystems, system spatial expansion, reclaimed water subsystem updates, and the construction of inter-plant water transfer pipelines. This application enables the optimization of construction and development paths under dynamic boundary conditions throughout the lifecycle of urban wastewater systems, overcoming the shortcomings of current system planning methods that produce single-stage solutions for fixed time nodes, and improving the scientific rigor and effectiveness of urban wastewater system planning decisions. Therefore, it solves the problem that related urban wastewater system planning technologies can only produce single-stage solutions and cannot consider the adaptation costs to future environmental changes throughout the system's lifecycle, thus failing to support long-term system planning decisions under uncertain conditions such as urban expansion.

[0157] Next, with reference to the accompanying drawings, an adaptive path planning device for an urban wastewater system proposed according to an embodiment of this application is described.

[0158] Figure 4 This is a schematic diagram of the adaptive path planning device for an urban sewage system according to an embodiment of this application.

[0159] like Figure 4 As shown, the adaptive path planning device 10 for the urban sewage system includes: a data acquisition module 100, a generation module 200, a construction module 300, and a planning module 400.

[0160] Specifically, the data acquisition module 100 is used to collect target information of the urban sewage system and determine the set of evolution paths that meet the preset planning conditions based on the target information.

[0161] The generation module 200 is used to generate a set of candidate schemes for the urban sewage system based on the spatial layout and scale of the urban sewage system collaborative planning scheme.

[0162] Module 300 is used to simulate the renewal and growth process of the urban sewage system based on the evolution path set and candidate scheme set, so as to generate the adjustment process of the urban sewage system and construct the adaptive path set of the urban sewage system according to the adjustment process.

[0163] The planning module 400 is used to calculate the average life cycle cost of the adaptive path set, plan the path planning scheme and path that meet the preset optimal conditions based on the average life cycle cost, and execute the path planning scheme and path that meet the preset optimal conditions.

[0164] Optionally, in one embodiment of this application, the adaptive path planning device 10 for urban sewage systems further includes a monitoring module and an updating module.

[0165] The monitoring module is used to monitor the path planning conditions and system status of the urban sewage system after executing a path planning scheme and path that meets the preset optimal conditions, and to determine whether the urban sewage system meets the preset update conditions based on the path planning conditions and planning status.

[0166] The update module is used to determine whether the urban sewage system meets the preset update conditions when the planning conditions deviate from the target planning conditions or the system state deviates from the target system state, and to update the urban sewage system in order to execute a new path planning scheme.

[0167] Optionally, in one embodiment of this application, the target information of the urban wastewater system includes at least one of the following: regional spatial boundaries during the target period, feasible site selection for urban wastewater system facilities, location of urban wastewater system users, wastewater discharge volume, reclaimed water demand, and target values ​​for urban wastewater system performance.

[0168] Optionally, in one embodiment of this application, the construction module 300 includes: a judgment unit, a first update unit, an expansion unit, a second update unit, a construction unit, and a simulation unit.

[0169] The judgment unit is used to determine whether the sewage subsystem of the urban sewage system meets the preset scale update conditions based on the sewage discharge volume.

[0170] The first update unit is used to determine whether the sewage subsystem meets the preset scale update conditions when the sewage discharge changes, update the sewage pipe network and increase the sewage treatment scale to obtain the new sewage plant scale; otherwise, it determines whether the space of the urban sewage system meets the preset expansion conditions based on the city's scope.

[0171] The expansion unit is used to determine whether the space of the urban sewage system meets the preset expansion conditions when expanding within the city. If so, it expands the space of the urban sewage system to obtain new space. Otherwise, it determines whether the urban sewage system meets the preset expansion conditions based on the amount of reclaimed water reused.

[0172] The second update unit is used to determine whether the urban sewage system meets the preset upgrade conditions when the amount of reclaimed water reuse is increased, update the reclaimed water pipeline network and increase the scale of reclaimed water treatment to obtain a new reclaimed water pipeline network; otherwise, it determines whether the inter-sewage plant water transfer pipeline meets the preset land occupation conditions based on the scale of the sewage treatment plant.

[0173] The construction unit is used to determine that the inter-sewage plant water transfer pipeline does not meet the preset land use conditions when the scale of the sewage treatment plant does not meet the land use constraints, and to construct the inter-sewage plant water transfer pipeline in order to obtain a new water transfer pipeline.

[0174] The simulation unit is used to simulate the renewal and growth process of the urban wastewater system using the new scale of the wastewater treatment plant, the new space of the urban wastewater system, the new reclaimed water pipeline network, and the new water transfer pipeline, and to generate an adaptive path set for the urban wastewater system.

[0175] Optionally, in one embodiment of this application, the planning module 400 includes an acquisition unit and a calculation unit.

[0176] The acquisition unit is used to acquire the construction cost and discounted cost of the urban sewage system.

[0177] The calculation unit is used to calculate the average life cycle cost based on the construction cost and the discounted cost.

[0178] It should be noted that the foregoing explanation of the adaptive path planning method embodiment for urban sewage systems also applies to the adaptive path planning device for urban sewage systems in this embodiment, and will not be repeated here.

[0179] The adaptive path planning device for urban wastewater systems proposed in this application can represent the urban wastewater system adaptive path planning problem as a decision problem that minimizes the sum of the current system construction cost and the system adaptation costs under multiple future scenario paths. By sampling the future scenario paths as broadly as possible, the system's ability to adapt to future uncertainties is examined. Furthermore, the construction of future construction paths for the urban wastewater system is transformed into a single-period system planning problem that can be solved more easily by addressing the periodic updates of wastewater subsystems, system spatial expansion, reclaimed water subsystem updates, and the construction of inter-treatment water transfer pipelines. This solves the problem that related urban wastewater system planning technologies can only produce single-stage solutions and cannot consider the adaptation costs to future environmental changes throughout the system's lifecycle, thus failing to support long-term system planning decisions under uncertain conditions such as urban expansion.

[0180] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include:

[0181] The memory 501, the processor 502, and the computer program stored on the memory 501 and capable of running on the processor 502.

[0182] When the processor 502 executes the program, it implements the adaptive path planning method for the urban sewage system provided in the above embodiments.

[0183] Furthermore, electronic devices also include:

[0184] Communication interface 503 is used for communication between memory 501 and processor 502.

[0185] The memory 501 is used to store computer programs that can run on the processor 502.

[0186] The memory 501 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0187] If the memory 501, processor 502, and communication interface 503 are implemented independently, then the communication interface 503, memory 501, and processor 502 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized as address buses, data buses, control buses, etc. For ease of representation, Figure 5 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0188] Optionally, in a specific implementation, if the memory 501, processor 502, and communication interface 503 are integrated on a single chip, then the memory 501, processor 502, and communication interface 503 can communicate with each other through an internal interface.

[0189] Processor 502 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0190] This embodiment also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the adaptive path planning method for urban wastewater systems as described above.

[0191] This application also provides a computer program product storing a computer program that, when executed by a processor, implements the adaptive path planning method for urban wastewater systems as described above.

[0192] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0193] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be understood to indicate or imply relative importance or implicitly specify the number of technical features indicated. Thus, a feature specified as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of this application, "N" means at least two, for example, two, three, etc., unless otherwise specifically defined.

[0194] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, fragment or portion of code comprising one or N executable instructions for implementing a custom logical function or process step, and the scope of the preferred embodiments of the present application includes alternative implementations in which functions may be performed in a different order than shown or discussed, including performing functions in a substantially simultaneous manner or in a reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present application pertain.

[0195] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0196] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0197] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0198] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0199] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. An adaptive path planning method for urban wastewater systems, characterized in that, Includes the following steps: Collect target information of urban wastewater system and determine the set of evolution paths that meet the preset planning conditions based on the target information. The target information of urban wastewater system includes at least one of the following: regional spatial boundary within the target period, feasible site selection of urban wastewater system facilities, location of urban wastewater system users, wastewater discharge, reclaimed water demand, and target value of urban wastewater system performance. A set of candidate schemes for the urban wastewater system is generated based on the spatial layout and scale collaborative planning scheme of the urban wastewater system. Based on the evolution path set and the candidate solution set, the renewal and growth process of the urban wastewater system is simulated to generate the adjustment process of the urban wastewater system, and an adaptive path set of the urban wastewater system is constructed according to the adjustment process, wherein constructing the adaptive path set of the urban wastewater system according to the adjustment process includes: Based on the wastewater discharge volume, determine whether the wastewater subsystem of the urban wastewater system meets the preset scale update conditions; If the wastewater discharge changes, the wastewater subsystem is determined to meet the preset scale update conditions, the wastewater pipe network is updated and the wastewater treatment scale is increased to obtain a new wastewater plant scale; otherwise, the space of the urban wastewater system is determined based on the city's scope to meet the preset expansion conditions. If the city area expands, the space of the urban sewage system is determined to meet the preset expansion conditions, and the space of the urban sewage system is expanded to obtain new urban sewage system space; otherwise, the urban sewage system is judged to meet the preset improvement conditions based on the amount of reclaimed water reuse. If the amount of reclaimed water reused increases, the urban sewage system is determined to meet the preset increase conditions. The reclaimed water subsystem is updated and the scale of reclaimed water treatment is increased to obtain a new reclaimed water pipeline network. Otherwise, the inter-sewage plant water transfer pipeline is judged to meet the preset land occupation conditions based on the scale of the sewage treatment plant. If the scale of the wastewater treatment plant does not meet the land occupation constraints, it is determined that the inter-wastewater treatment plant water transfer pipeline does not meet the preset land occupation conditions, and an inter-wastewater treatment plant water transfer pipeline is constructed to obtain a new water transfer pipeline. The new wastewater treatment plant scale, the new urban wastewater system space, the new reclaimed water pipeline network, and the new water diversion pipeline are used to simulate the renewal and growth process of the urban wastewater system, and generate an adaptive path set for the urban wastewater system. Calculate the average lifecycle cost of the adaptive path set, plan a path planning scheme and path that meet the preset optimal conditions based on the average lifecycle cost, and execute the path planning scheme and path that meet the preset optimal conditions.

2. The method according to claim 1, characterized in that, After executing the path planning scheme and path that meet the preset optimal conditions, the process also includes: The path planning conditions and system status of the urban sewage system are monitored according to the path planning scheme, and the urban sewage system is judged to meet the preset update conditions according to the path planning conditions and system status. If the planning conditions deviate from the target planning conditions or the system state deviates from the target system state, the urban sewage system is determined to meet the preset update conditions, and the urban sewage system is updated to execute a new path planning scheme.

3. The method according to claim 1, characterized in that, The calculation of the average lifecycle cost of the adaptive path set includes: Obtain the construction cost and discounted cost of the urban sewage system; The average lifecycle cost is calculated based on the construction cost and the discounted cost.

4. An adaptive path planning device for an urban sewage system, characterized in that, include: The data acquisition module is used to collect target information of the urban wastewater system and determine the set of evolution paths that meet the preset planning conditions based on the target information. The target information of the urban wastewater system includes at least one of the following: regional spatial boundaries within the target period, feasible site selection of urban wastewater system facilities, location of urban wastewater system users, wastewater discharge, reclaimed water demand, and target values ​​of urban wastewater system performance. The generation module is used to generate a set of candidate schemes for the urban sewage system based on the spatial layout and scale collaborative planning scheme of the urban sewage system; A construction module is used to simulate the renewal and growth process of the urban wastewater system based on the evolution path set and the candidate solution set, to generate the adjustment process of the urban wastewater system, and to construct an adaptive path set for the urban wastewater system based on the adjustment process. The construction module includes: The judgment unit is used to determine whether the sewage subsystem of the urban sewage system meets the preset scale update conditions based on the sewage discharge volume. The first update unit is used to determine whether the sewage subsystem meets the preset scale update conditions when the sewage discharge changes, update the sewage pipe network and increase the sewage treatment scale to obtain a new sewage plant scale; otherwise, it determines whether the space of the urban sewage system meets the preset expansion conditions based on the urban area. An expansion unit is used to determine whether the space of the urban sewage system meets the preset expansion conditions when the urban area is expanded, and to expand the space of the urban sewage system to obtain new urban sewage system space; otherwise, it determines whether the urban sewage system meets the preset improvement conditions based on the amount of reclaimed water reused. The second update unit is used to determine whether the urban sewage system meets the preset upgrade conditions when the amount of reclaimed water reuse is increased, update the reclaimed water pipeline and increase the scale of reclaimed water treatment to obtain a new reclaimed water pipeline; otherwise, it determines whether the inter-sewage plant water transfer pipeline meets the preset land occupation conditions based on the scale of the sewage plant. The construction unit is used to determine that the inter-sewage plant water transfer pipeline does not meet the preset land use conditions when the scale of the sewage treatment plant does not meet the land use constraints, and to construct the inter-sewage plant water transfer pipeline in order to obtain a new water transfer pipeline. The simulation unit is used to simulate the renewal and growth process of the urban sewage system using the new sewage treatment plant scale, the new urban sewage system space, the new reclaimed water pipeline network and the new water diversion pipeline, and to generate an adaptive path set for the urban sewage system. The planning module is used to calculate the average lifecycle cost of the adaptive path set, plan a path planning scheme and path that meet the preset optimal conditions based on the average lifecycle cost, and execute the path planning scheme and path that meet the preset optimal conditions.

5. The apparatus according to claim 4, characterized in that, Also includes: The monitoring module is used to monitor the path planning conditions and system status of the urban sewage system according to the path planning scheme after executing the path planning scheme and path that meet the preset optimal conditions, and to determine whether the urban sewage system meets the preset update conditions according to the path planning conditions and system status. The update module is used to determine that the urban sewage system meets the preset update conditions when the planning conditions deviate from the target planning conditions or the system state deviates from the target system state, and to update the urban sewage system to execute a new path planning scheme.

6. An electronic device, characterized in that, include: A memory, a processor, and a computer program stored in the memory and executable on the processor, the processor executing the program to implement the adaptive path planning method for an urban wastewater system as described in any one of claims 1-3.

7. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the adaptive path planning method for urban wastewater systems as described in any one of claims 1-3.

8. A computer program product, comprising a computer program, characterized in that, The computer program is executed to implement the adaptive path planning method for urban wastewater systems as described in any one of claims 1-3.

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