Rural sewage treatment planning system and method

Abstract

The invention belongs to the technical field of rural sewage treatment, and discloses a rural sewage treatment planning system and method, and the system comprises a plan collection device which is used for obtaining construction range information and process requirement information, carrying out the plan analysis of the construction range information and the process requirement information, and obtaining the engineering plan information; the engineering plan information comprises progress plan information and material demand plan information; and the construction acquisition device is used for acquiring the construction real-time information and the engineering plan information, and performing completion condition analysis on the construction real-time information according to the engineering plan information to obtain construction completion result information. According to the invention, the sewage project can be effectively managed, the timeliness of project management is improved, and the construction range information conforms to the actual sewage generation condition and treatment demand of the rural area.

Description

Technical Field

[0001] The present application relates to the technical field of rural sewage treatment, and in particular to a rural sewage treatment planning system and method. Background Art

[0002] The quality management of sewage projects is a long-term and holistic process that requires data analysis, processing and statistics by all personnel throughout the entire process, from project planning, survey and design, construction to project acceptance.

[0003] Current rural wastewater treatment planning often relies on decision-makers' subjective experience or replicates urban wastewater treatment strategies. However, rural areas differ significantly from urban areas in terms of population distribution, land use types, and other factors, and the sources of wastewater generation in rural areas are also significantly different from those in urban areas. Furthermore, unlike urban areas, rural areas often do not undergo the same extensive geological transformation during construction, resulting in much greater topographic variation in rural areas. This is particularly evident in mountainous areas, creating planning challenges for sewage pipeline construction and leading to a disconnect between existing rural wastewater treatment plans and actual needs. During the construction of sewage treatment projects, the complex and ever-changing nature of various project entities, construction equipment and materials, construction techniques and methods, and environmental factors hinder the quality management of each sewage project site. Traditional methods that rely on manual data collection and analysis consume significant manpower and resources. Furthermore, since the volume of project data is determined by the scale of the project, current methods that rely on manual data collection cannot ensure timely data collection at each project site for large-scale projects, hindering subsequent implementation efficiency. Summary of the Invention

[0004] In order to effectively manage sewage projects and improve the timeliness of project management, this application provides a rural sewage treatment planning system and method, which adopts the following technical solutions:

[0005] In a first aspect, an embodiment of the present application provides a rural sewage treatment planning system, comprising:

[0006] Planning and collection device, used to obtain construction scope information and process requirement information, perform planning analysis on the construction scope information and process requirement information, and obtain engineering plan information; engineering plan information includes schedule plan information and material requirement plan information;

[0007] The construction collection device is used to obtain real-time construction information and project plan information, analyze the completion status of the real-time construction information based on the project plan information, and obtain construction completion result information.

[0008] Furthermore, the above-mentioned planning collection device includes:

[0009] The progress analysis module is used to obtain task target information, decompose tasks according to construction scope information and task target information, and obtain task division information; perform time analysis according to process requirement information and task division information to obtain progress plan information;

[0010] The material demand analysis module is used to analyze the required materials based on the schedule information and process requirement information to obtain the material demand quantity information; and to match the corresponding procurement scheduling information based on the material demand quantity information to obtain the material demand plan information.

[0011] Furthermore, the above-mentioned construction data collection device includes:

[0012] The procurement information collection module is used to obtain real-time procurement information and project plan information, check the real-time procurement information against the project plan information, and obtain procurement completion result information;

[0013] The labor subcontracting collection module is used to obtain real-time information on labor subcontracting and project plan information, and to check the real-time information on labor subcontracting against the project plan information to obtain information on the labor subcontracting situation.

[0014] Furthermore, the system also includes a plan generating device;

[0015] The above-mentioned planning generation device is used to obtain the geographical data and biological distribution data of the target rural area, generate the drainage pipeline plan and sewage treatment site selection of the target rural area based on the geographical data and biological distribution data, and enter the construction scope information.

[0016] Furthermore, the plan generating device includes:

[0017] Data collection module, used to obtain geographical data and biological distribution data of target rural areas;

[0018] Geographic data include meteorological and hydrological data, terrain elevation data, land type data, and soil infiltration data of the target rural area; biological distribution data include population distribution data and livestock distribution data;

[0019] Data processing module, used to analyze geographic data and biological distribution data to obtain wastewater load thermal map;

[0020] Load analysis module for generating sewer pipe plans based on geographic data and wastewater load heat maps;

[0021] Intelligent planning module for determining wastewater treatment site selection based on geographic data and sewer pipeline plans.

[0022] Furthermore, the data processing module is specifically used to divide the target rural area based on a grid of a preset size to obtain a plurality of grid units;

[0023] Perform one-hot encoding on land type data in geographic data; extract sewage load characteristics of each grid cell based on terrain elevation data, biological distribution data, and land type data; sewage load characteristics include neighborhood statistics of the grid cell, terrain conductivity characteristics, land composition ratio, population equivalent, and average soil infiltration rate;

[0024] A sewage generation characteristic matrix is constructed according to the preset sewage coefficient and the sewage load characteristics of each grid unit; the sewage generation characteristic matrix is input into the sewage load prediction model to obtain a sewage load heat map.

[0025] Furthermore, the data processing module is specifically used to determine the lowest point elevation of the target rural area based on the terrain elevation data; subtract the lowest point elevation from the average elevation of each grid cell to obtain the drainage potential of each grid cell; calculate the cumulative runoff of each grid cell based on meteorological and hydrological data; and use the drainage potential and cumulative runoff as the terrain conduction characteristics of the grid cell.

[0026] Furthermore, the load analysis module is specifically used to determine pollution-sensitive areas based on land type data and eliminate grid cells with pollution-sensitive areas; it uses a mathematical elevation model and D8 algorithm to analyze terrain elevation data to obtain natural drainage paths;

[0027] Determine the high-load unit and medium-load unit in each grid unit according to the sewage load thermal map;

[0028] Select high-load units that coincide with natural drainage paths as target trunk units;

[0029] Construct drainage trunk lines according to each target trunk unit and natural drainage path;

[0030] Each medium-load unit and each remaining high-load unit are connected to a drainage trunk line to obtain a plurality of drainage branches; the drainage trunk line and each drainage branch line are used as a drainage pipeline plan diagram.

[0031] Furthermore, the load analysis module is further used to take the grid cells through which the drainage pipe passes as the cells to be laid;

[0032] The predicted flow of the unit to be laid is calculated based on the preset sewage coefficient and the sewage load characteristics of the unit to be laid; the pipe diameter of the drainage pipe in the unit to be laid is determined based on the Manning formula and the predicted flow.

[0033] Furthermore, the intelligent planning module is specifically used to take a preset number of grid cells located at the end of the main drainage line as units to be planned; eliminate units to be planned that do not meet preset constraints; the preset constraints include elevation difference constraints, soil bearing capacity constraints, soil average permeability constraints and road quantity constraints; based on preset evaluation indicators, preset indicator weights and GIS spatial analysis models, determine at least one target planning unit in each unit to be planned, and use the target planning unit as the sewage treatment site.

[0034] Furthermore, the data collection module is also used to collect test results from multiple water quality testing points in the target rural area;

[0035] The data processing module is also used to calculate the sewage update weight of the grid unit where the corresponding water quality monitoring point is located based on each test result, and update the sewage load heat map according to each sewage update weight.

[0036] Furthermore, the above-mentioned plan generation device also includes a detection planning module;

[0037] The above detection planning module is used to determine the coordinates of each water quality monitoring point based on land type data.

[0038] Furthermore, the above-mentioned planning generation device also includes a process recommendation module;

[0039] The process recommendation module is used to calculate the elevation standard deviation of the target rural area based on terrain elevation data; calculate the corrosion risk value based on land type data and soil permeability data; and generate process requirement information based on the elevation standard deviation and the corrosion risk value.

[0040] In a second aspect, an embodiment of the present application provides a rural sewage treatment planning method, including:

[0041] Obtain construction scope information and process requirement information; perform planning analysis on the construction scope information and process requirement information to obtain engineering plan information; engineering plan information includes schedule information and material requirement plan information;

[0042] Obtain real-time construction information and project plan information;

[0043] The completion status of the real-time construction information is analyzed according to the project plan information to obtain the construction completion result information.

[0044] Furthermore, the above-mentioned planning analysis of the construction scope information and process requirement information obtains the engineering planning information, including:

[0045] Obtain mission target information;

[0046] Decompose tasks based on construction scope information and task target information to obtain task division information;

[0047] Conduct time analysis based on process requirement information and task division information to obtain schedule information;

[0048] Analyze the required materials based on the schedule information and process requirements to obtain the material demand information;

[0049] According to the material demand information, the corresponding procurement scheduling information is matched to obtain the material requirement planning information.

[0050] Furthermore, the above-mentioned completion status analysis of the real-time construction information based on the project plan information is performed to obtain the construction completion result information, including:

[0051] Obtain real-time procurement information and engineering plan information;

[0052] Verify the real-time procurement information according to the engineering plan information to obtain the procurement completion result information;

[0053] Obtain real-time information on labor subcontracting and project planning;

[0054] The real-time information of labor subcontracting is checked against the engineering plan information to obtain the labor subcontracting status information.

[0055] Furthermore, the method further comprises:

[0056] Obtain geographical data and biological distribution data of target rural areas;

[0057] Geographic data include meteorological and hydrological data, terrain elevation data, land type data, and soil infiltration data of the target rural area; biological distribution data include population distribution data and livestock distribution data;

[0058] Analyze geographic data and biological distribution data to obtain wastewater load heat maps;

[0059] Generate sewer plan diagrams based on geographic data and wastewater load heat maps;

[0060] Determine wastewater treatment site selection based on geographic data and drainage pipeline plans;

[0061] Include drainage pipeline plans and sewage treatment site selection in the construction scope information.

[0062] Furthermore, the above analysis of geographic data and biological distribution data yields a wastewater load heat map, including:

[0063] Divide the target rural area into multiple grid cells based on a preset size grid;

[0064] Perform one-hot encoding on land type data in geographic data; extract sewage load characteristics of each grid cell based on terrain elevation data, biological distribution data, and land type data; sewage load characteristics include neighborhood statistics of the grid cell, terrain conductivity characteristics, land composition ratio, population equivalent, and average soil infiltration rate;

[0065] Construct a sewage generation characteristic matrix based on the preset sewage coefficient and the sewage load characteristics of each grid unit;

[0066] The sewage generation characteristic matrix is input into the sewage load prediction model to obtain the sewage load heat map.

[0067] In a third aspect, an embodiment of the present application provides a computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the rural sewage treatment planning method as described in any of the above embodiments are executed.

[0068] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the rural sewage treatment planning method as in any of the above embodiments are implemented.

[0069] In summary, compared with the prior art, the technical solutions provided by the embodiments of the present application have at least the following beneficial effects:

[0070] The embodiment of the present application provides a rural sewage treatment planning system, which obtains construction scope information and process requirement information obtained after project planning, performs plan analysis on the construction scope information and process requirement information, and obtains engineering plan information. The engineering plan information can provide a reference for project planners. When executing according to the engineering plan information, the construction collection device obtains real-time construction information and engineering plan information to perform completion analysis, and obtains construction completion result information for system operators to intuitively understand the construction status. The planning collection device provides reference data for completion analysis for the construction collection device, so that sewage projects can be effectively managed and the timeliness of engineering management can be improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0071] Figure 1 A structural diagram of a rural sewage treatment planning system provided as an exemplary embodiment of this application

[0072] Figure 2 A structural diagram of a plan generation device provided as an exemplary embodiment of the present application.

[0073] Figure 3 A flowchart of a rural sewage treatment planning method provided as an exemplary embodiment of the present application.

[0074] Figure 4 A flowchart of steps for generating construction scope information is provided for an exemplary embodiment of the present application.

[0075] Figure 5 A flowchart of the steps for generating a wastewater load heat map is provided for an exemplary embodiment of the present application.

[0076] Figure 6 A flowchart of steps for generating a drainage pipe plan diagram is provided for an exemplary embodiment of the present application. DETAILED DESCRIPTION

[0077] The technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all the embodiments.

[0078] Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making any creative work shall fall within the scope of protection of this application.

[0079] See Figure 1 , the embodiment of the present application provides a rural sewage treatment planning system, including:

[0080] The planning and collection device is used to obtain construction scope information and process requirement information, perform planning analysis on the construction scope information and process requirement information, and obtain engineering plan information; the engineering plan information includes schedule plan information and material requirement plan information.

[0081] Among them, construction scope information includes drainage pipeline plan drawings and sewage treatment site selection, and process requirement information usually determines the type of process used in construction based on the nature and design requirements of the project, such as civil engineering process, electrical installation process, etc.

[0082] Specifically, the above-mentioned planning collection device includes:

[0083] The progress analysis module is used to obtain task target information, decompose tasks according to construction scope information and task target information, and obtain task division information; perform time analysis according to process requirement information and task division information to obtain progress plan information.

[0084] During the specific implementation process, this application conducts a plan analysis, specifically task decomposition and time analysis, after obtaining construction scope information and process requirement information. First, it is necessary to obtain task target information. The project tasks and goals of the task decomposition are obtained from the project planning to obtain the tasks and goals of the overall project, such as the total amount of engineering, phased tasks and delivery dates, as well as resource and construction period requirements, such as the availability of construction resources and the project's construction period requirements. Then, based on the construction scope and goals, the overall project is divided into different construction tasks, and the order of each task is clarified.

[0085] Specifically, various project-related data can be obtained first, including project goals, tasks, resource requirements, timelines, budgets, etc. This data usually comes from project plans, team member input, demand analysis reports, market research data, etc., namely task goal information. Data is automatically collected and organized through integrated project management tools, such as Jira, Trello, Microsoft Project, etc. Finally, the complex project goals are converted into specific work tasks. Through pre-set rules and algorithms, the computer system automatically decomposes the top-level goals according to certain logical rules, such as hierarchical and phased, and generates a work breakdown structure, i.e., WBS. For example, based on the requirements document, the system automatically generates related subtasks, thereby completing the task decomposition and obtaining task division information, such as one site requires reinforced concrete construction technology, while another site requires mechanized construction technology. After determining the task division information, each task is divided according to the corresponding process requirements to calculate the corresponding task consuming time. The embodiment of the present application prepares a detailed project schedule based on the time and resources required for each task, combined with engineering schedule models such as Gantt charts, critical path method (CPM), or project evaluation and review technique (PERT). For example, in a project schedule, Task A takes 5 days to complete, Task B takes 3 days, and Task C depends on Task B. The estimated start time is the day after Task B is completed.

[0086] The resulting project schedule clearly outlines the specific start and end dates for each task and each phase of the project. In one example, the civil engineering portion of the project is completed in days 1-30, and the electrical installation is completed in days 15-45, using corresponding mechanized equipment for each phase, with a final delivery date of day 90.

[0087] The material demand analysis module is used to analyze the required materials based on the schedule information and process requirement information to obtain the material demand quantity information; and to match the corresponding procurement scheduling information based on the material demand quantity information to obtain the material demand plan information.

[0088] Specifically, this application determines the material type, specifications, and quantity required for each task based on construction drawings and process requirements. It also understands information such as the procurement cycle, supplier availability, and inventory status for each material. First, material requirements are calculated. Based on the project schedule and the process requirements for each task, the required material quantity for each task is calculated. For example, a civil engineering task requires 50 tons of rebar and 500 cubic meters of concrete, while an electrical task requires 1,000 meters of cable and 500 sockets. Next, material procurement and scheduling are arranged. Based on the material requirements, procurement and delivery schedules are scheduled to ensure that the materials arrive on time during construction. This embodiment of the application makes these arrangements based on material procurement cycles, supplier capabilities, and other factors. For example, certain special materials may need to be purchased three months in advance, while conventional materials can be purchased in batches based on the construction schedule. After performing demand analysis, a material requirement plan is generated, including the quantity, specifications, procurement schedule, and delivery schedule for each material. For example, 50 tons of rebar may need to be in place by the 10th day of the project, while 500 cubic meters of concrete may need to be on site by the 15th day.

[0089] The schedule information determines the project's timelines, task schedules, and duration; the material requirements plan arranges the procurement, supply, and delivery of materials based on the construction schedule and task requirements. Together, the plans in this application embodiment provide detailed time and material arrangements for project implementation, helping to ensure that the project is completed on time, efficiently, and in compliance with regulations.

[0090] The construction data collection device is used to obtain real-time construction information and project plan information, analyze the completion status of the real-time construction information based on the project plan information, and obtain construction completion result information. The real-time construction information includes real-time procurement information and real-time labor subcontracting information. The construction completion result information includes procurement completion result information and labor subcontracting status information.

[0091] Specifically, the above-mentioned construction collection device includes:

[0092] The procurement information collection module is used to obtain real-time procurement information and project plan information, check the real-time procurement information against the project plan information, and obtain procurement completion result information.

[0093] Specifically, when obtaining project plan information, it is necessary to verify the data or information uploaded by the operator. The real-time procurement information obtained in this embodiment includes information related to procurement pricing, procurement contracts, purchase orders, arrival inspection, and procurement warehousing. Among them, procurement pricing includes product pricing information. Procurement contracts record detailed information about procurement contracts.

[0094] The purchase order is the details of the generated purchase order. The arrival inspection records the results of the inspection after the goods arrive. The purchase warehousing records the information of the materials entering the warehouse. The embodiment of the present application counts whether the materials have been met according to the demand plan. The procurement status of the materials is judged by tracking the cumulative status of those who have applied for and those who have not applied for, those who have placed orders and those who have not placed orders, those who have arrived and those who have not arrived, and those who have been put into storage and those who have not been put into storage. The current procurement stage of the materials is tracked. After comparison, if it is obtained that the price of the materials has been determined; that the purchase contract has been signed; that the purchase order has been placed; that the purchase order has been issued; that the materials have arrived and have been inspected; and that the materials have been put into storage. The procurement completion result information finally obtained by the embodiment of the present application is the demand status and procurement stage of each material, including whether it has completed the steps of application, ordering, arrival and warehousing. The procurement progress summary helps to determine whether the material demand has been met and provides a basis for subsequent procurement decisions.

[0095] The labor subcontracting collection module is used to obtain real-time information on labor subcontracting and project plan information, and to check the real-time information on labor subcontracting against the project plan information to obtain information on the labor subcontracting situation.

[0096] Specifically, when obtaining project plan information, it is necessary to verify the data or information uploaded by the operator. The real-time information on labor subcontracting obtained in this embodiment of the application includes subcontract pricing, subcontract contracts, subcontract measurement, subcontract certification, and subcontract completion settlement documents. Among them, subcontract pricing refers to the pricing and quotation of the subcontracted project; the subcontract contract records the content of the contract signed with the subcontractor; subcontract measurement records the measurement data of the subcontracted project, including the project quantity; subcontract certification refers to the certification record of project changes or special circumstances during the subcontracting process; and the subcontract completion settlement document records the settlement information after the subcontract project is completed.

[0097] According to the demand plan, the embodiment of the present application needs to count the current cumulative completed project volume, including the completed and unfinished work under the subcontract; summarize the visas that have occurred, such as delays in construction period, changes, etc., and calculate their impact on the project progress; count the final completed project volume, that is, the overall completion status of all subcontract projects, and then conduct material and labor cost analysis.

[0098] Material and labor cost analysis specifically involves counting the types and quantities of materials consumed to complete a project. Specifically, it identifies the raw materials used and their quantities during the project's completion. It also calculates the number of workers and hours involved in the project, including the length of each type of work and the number of workers involved. Ultimately, it provides information on labor subcontracting.

[0099] Labor subcontracting information includes project quantity statistics, which specifically displays the cumulative completed project quantity and visa status; includes material consumption and labor input, which specifically lists the types and quantities of materials used in subcontract projects, as well as the input of labor workers; includes subcontract settlement data, which generates final subcontract settlement information based on the completion status and relevant documents.

[0100] It is understandable that in order to cope with the complexity of sewage projects, the embodiments of the present application obtain the construction scope information and process requirement information obtained after the project planning, perform a planning analysis on the construction scope information and process requirement information, and process the information to obtain the engineering plan information. The engineering plan information can provide a reference for project planners, and when executing according to the engineering plan information, the construction collection device obtains real-time construction information and the engineering plan information to perform completion analysis, and obtains construction completion result information for system operators to intuitively understand the construction status. In addition, the planning collection device provides reference data for completion analysis for the construction collection device, reducing manual judgment and management, and can more effectively deal with sewage projects with large amounts of data, so that sewage projects can be effectively managed and the effectiveness and timeliness of engineering management can be improved.

[0101] In some embodiments, see Figure 1 , the system also includes a planning generating device.

[0102] The above-mentioned planning generation device is used to obtain the geographical data and biological distribution data of the target rural area, generate the drainage pipeline plan and sewage treatment site selection of the target rural area based on the geographical data and biological distribution data, and enter the construction scope information.

[0103] Specifically, see Figure 2 , the above-mentioned planning generation device includes:

[0104] The data collection module is used to obtain geographical data and biological distribution data of the target rural areas.

[0105] Among them, geographic data include meteorological and hydrological data, terrain elevation data, land type data and soil infiltration data of the target rural areas; biological distribution data include population distribution data and livestock distribution data.

[0106] Specifically, meteorological and hydrological data include the rainfall intensity (or rainfall amount) in the target rural areas, as well as the distribution, water storage capacity and flow rate of rivers and lakes; land type data are the various land use types owned by the target rural areas (such as livestock land, agricultural land, residential land, woods, wasteland, etc.); it is worth noting that this application adds soil infiltration data to the geographic data. This is because the land in towns is basically covered with cement or asphalt, and most of the rainfall is discharged through the constructed drainage pipes. The degree of modernization in rural areas is lower than that in towns, and there are still a lot of exposed land and a large number of farmlands. These will cause rainfall to directly penetrate the soil and enter the underground, making the weight of rainfall discharge in the sewage intelligence construction in rural areas less than that in towns.

[0107] Furthermore, because precipitation in rural areas will directly penetrate the soil, the construction of rural drainage pipes must also take into account the impact of seepage and corrosion when selecting the laying depth and construction technology. Therefore, this application adds soil infiltration data to the sewage load analysis, which can make the sewage load analysis of rural areas more accurate and the sewage treatment construction more practical.

[0108] The data processing module is used to analyze geographic data and biological distribution data to obtain sewage load thermal maps.

[0109] Among them, the data processing module divides the target rural area into grid units of preset sizes, such as 100m×100m. For more dispersed mountainous rural areas, the preset size can be set larger, such as 300m×300m or 500m×500m. The generated sewage load heat map includes the sewage load value of each grid unit.

[0110] Specifically, unlike urban areas where land use types are concentrated in three types: factories, commerce, and residences, the sewage load generally shows a trend of spreading to the surrounding areas with the city center and industrial center as the core. Rural land types are diverse and more dispersed, the sources of sewage generation are not concentrated, and the drainage direction is greatly affected by changes in terrain. Therefore, the use of grid units for division and analysis can fully consider the sewage generation situation in different areas of rural areas and achieve accurate sewage treatment planning.

[0111] Load analysis module for generating sewer schedules based on geographic data and wastewater load heat maps.

[0112] Intelligent planning module for determining wastewater treatment site selection based on geographic data and sewer plans.

[0113] The planning generation device provided in the above embodiment collects rural geographical data and biological distribution data through the data acquisition module; it is worth noting that a major difference between rural and urban areas is that rural areas can have a variety of livestock farms, so the sewage load cannot be simply considered based on population distribution, and livestock factors must also be considered; at the same time, considering that the water intensity in rural areas is much lower than that in urban areas, this application uses a data processing module in combination with rural geographical and biological distribution data to generate a sewage load heat map to clarify the sewage load in different rural areas; finally, the load analysis module and the intelligent planning module are used to determine the drainage pipeline plan and sewage treatment site selection based on the rural geographical data and sewage load heat map; the planning generation device of this application fully takes into account the differences between rural and urban areas, so that the drainage pipeline plan and sewage treatment site selection determined based on the rural geographical data and biological distribution data can well match the actual sewage generation situation and treatment needs in rural areas.

[0114] In some embodiments, the data processing module is specifically used to divide the target rural area into grids of preset sizes to obtain multiple grid units; perform one-hot encoding on the land type data in the geographic data; extract the sewage load characteristics of each grid unit based on the terrain elevation data, biological distribution data and land type data; the sewage load characteristics include the neighborhood statistical characteristics of the grid unit, terrain conductivity characteristics, land composition ratio, population equivalent and average soil permeability.

[0115] One-hot encoding is a technique for converting categorical variables into a numerical form that can be understood by machine learning algorithms. However, unlike terrain elevation and biodiversity data, land type data is not vectors or numbers, but rather text-based classification labels. Directly using these classification labels for calculations may introduce misleading numerical relationships into machine learning models. One-hot encoding can clearly represent the differences between different land types without introducing any numerical partial order relationships. This allows subsequent sewage load prediction models to more accurately understand and process these features, thereby improving the accuracy of sewage load prediction.

[0116] Specifically, in the sewage load characteristics, the calculation formula for population equivalent is:

[0117] Resident population + ∑ (livestock number × preset conversion population coefficient)

[0118] Among them, the number of livestock includes the number of animals related to human activities such as livestock breeding and pet breeding within the grid unit. It can be considered that this application uniformly quantifies human activities and livestock pollution as "population equivalent".

[0119] The calculation of average soil permeability is relatively simple, that is, the average soil permeability of each location in the grid unit is calculated, which can be calculated using the integral or area weight method.

[0120] The calculation of land composition ratio is also relatively simple, that is, the ratio of the area occupied by each land type to the area of the entire grid unit.

[0121] The neighborhood statistics of a grid cell with coordinates (x, y) can be calculated using a 3×3 neighborhood window:

[0122]

[0123] Among them, w i,j is the preset distance attenuation weight. The larger the distance, the smaller the weight. For example, the weight of the center grid (i and j are both 0) is 0.3, the adjacent grid (i or j is 0) is 0.2, and the diagonal grid (i and j are not 0) is 0.1. x+i,y+j is the population equivalent of the grid cell at coordinate (x+i,y+j), α is the preset sewage coefficient, and the unit is m 3 / Man·Heaven.

[0124] It should be noted that the neighborhood statistical features are introduced in this application to take into account the slight mobility of the population in rural areas and the diffusion and transmission of sewage between adjacent grid units due to land seepage, so as to further improve the accuracy of sewage load prediction.

[0125] The data processing module is also specifically used to determine the lowest point elevation of the target rural area based on the terrain elevation data; subtract the lowest point elevation from the average elevation of each grid cell to obtain the drainage potential of each grid cell; calculate the cumulative runoff of each grid cell based on meteorological and hydrological data; and use the drainage potential and cumulative runoff as the terrain conduction characteristics of the grid cell.

[0126] Specifically, drainage potential = grid average elevation - downstream lowest point elevation; runoff accumulation = catchment area calculated by flow direction algorithm × rainfall intensity. The calculation of runoff accumulation has been documented in many geography-related literature and will not be repeated here.

[0127] Then, the data processing module constructs a sewage generation characteristic matrix based on the preset sewage coefficient and the sewage load characteristics of each grid unit; the sewage generation characteristic matrix is input into the sewage load prediction model to obtain a sewage load heat map.

[0128] Among them, the preset sewage coefficient and the population equivalent of the grid unit are multiplied to obtain the sewage production equivalent of the corresponding grid unit. The sewage production equivalent, neighborhood statistical characteristics, terrain conductivity characteristics, land composition ratio and average soil permeability of each grid unit are used as matrix elements of the grid unit and put into the sewage generation characteristic matrix; that is, the rows and columns of the sewage generation characteristic matrix are consistent with the rows and columns of the divided grid units, and each matrix element is the characteristic data of the corresponding grid unit.

[0129] Specifically, the sewage load prediction model can be obtained by training a machine learning model. This application uses a random forest model in the specific application process, but it is not limited here and can also be replaced by models such as support vector machines and graph convolution networks.

[0130] Furthermore, after outputting the predicted sewage load value for each grid cell, the sewage load prediction model can also perform Kriging interpolation (Kriging) on the predicted sewage load value to achieve smoothing processing and obtain a sewage load heat map.

[0131] The above embodiment designs a feature extraction algorithm based on the sewage generation characteristics in rural areas, and then predicts the sewage load value of each grid unit based on the extracted sewage load characteristics, thereby improving the accuracy of sewage load prediction.

[0132] In some embodiments, the load analysis module is specifically configured to perform the following steps:

[0133] Step S031: determine pollution-sensitive areas based on land type data, and remove grid cells where pollution-sensitive areas exist.

[0134] Specifically, in rural areas, there are some sensitive areas where sewage treatment facilities cannot be built, such as farmland (sewage will affect crops), wasteland (low development level, drainage pipes are difficult to maintain), water sources, protected areas, etc. Therefore, the grid units containing these sensitive areas will be removed first to avoid temporary changes in the construction plan during the construction process.

[0135] Step S032: Analyze terrain elevation data using a mathematical elevation model and the D8 algorithm to obtain a natural drainage path.

[0136] Specifically, the analysis of natural drainage paths is also a common process in the field of geology, and the details will not be discussed in detail.

[0137] However, it should be noted that although the analysis algorithm of natural drainage paths is not the innovation of this application, the improvement of this application is to apply the analysis algorithm to rural sewage treatment planning. This is an embodiment of the fact that rural terrain changes are greater than urban areas. It is an operation that can reduce the number of pumping stations for rural sewage construction and reduce the cost of sewage treatment.

[0138] Step S033: determining the high-load unit and the medium-load unit in each grid unit according to the sewage load thermodynamic map.

[0139] Specifically, the sewage load values of each grid cell in the sewage load heat map are sorted from largest to smallest. The top 10% or 20% of the grid cells are considered high-load cells, the bottom 20% or 30% of the grid cells are considered low-load cells, and the remaining grid cells are considered medium-load cells. In addition to the sorting method, the natural breakpoint method, the equal interval classification method, or the threshold judgment method can also be used to determine the high-load and medium-load cells.

[0140] Step S034: selecting high-load units that coincide with the natural drainage path as target trunk units.

[0141] Specifically, since rural sewage treatment planning needs to take construction costs into consideration, this application simultaneously considers natural drainage paths and high-load units, ensuring that areas with heavy sewage loads can drain quickly while enabling sewage to flow as much as possible using gravitational potential energy, thereby reducing the construction of pumping stations on the main line and thus reducing construction costs.

[0142] Step S035: construct a drainage trunk line according to each target trunk unit and the natural drainage path.

[0143] Specifically, if the target trunk units cannot be connected into a line, the trunk line at the disconnected part is preferably aligned with the natural drainage path. During the specific implementation process, it was found that since the area of a single rural village is generally small, the drainage trunk line planned by the above algorithm will basically not have excessive detours or curves.

[0144] If there are rare cases where the rural area is large or the number of high-load units is small, the target trunk units can be directly connected into a line (directly connected at the middle disconnection point) to obtain the first trunk line, and at the same time, the number of pump stations required on the first trunk line can be obtained based on the terrain elevation data; the method of step S35 is used to construct and obtain the second trunk line and the corresponding number of pump stations, and the construction cost is calculated based on the length of the trunk line and the number of pump stations, and the trunk line with the lowest cost is selected as the drainage trunk line.

[0145] Step S036: Connect each medium-load unit and each remaining high-load unit to the drainage trunk line to obtain multiple drainage branches; use the drainage trunk line and each drainage branch line as a drainage pipeline plan diagram.

[0146] The above implementation method combines terrain elevation data to obtain the natural drainage path of the target rural area, and determines the drainage trunk line by combining the natural drainage path and high-load units with high sewage treatment needs, thereby reducing construction costs while ensuring that drainage needs are met.

[0147] In some embodiments, the load analysis module is also used to treat the grid units through which the drainage pipe passes as units to be laid; calculate the predicted flow of the units to be laid based on a preset sewage coefficient and the sewage load characteristics of the units to be laid; and determine the pipe diameter of the drainage pipe in the units to be laid based on the Manning formula and the predicted flow.

[0148] Specifically, the predicted flow rate can be obtained by multiplying the preset sewage coefficient and the population equivalent, and then adding the product of the catchment area (the cross-sectional area of the pipe, calculated by the pipe radius) and the runoff coefficient (preset value).

[0149] Manning's formula is specifically used in the iterative process:

[0150]

[0151] Where Q is the predicted flow rate, n is the Manning coefficient (depending on the material used for the drainage pipe, 0.013 for concrete pipes and 0.009 for plastic pipes); A is the flow area, D is the pipe diameter, μ is the filling degree, generally taken as 0.6-0.8; R is the hydraulic radius, and S is the slope of the unit to be laid, which can be directly obtained from terrain elevation data.

[0152] Specifically, during the iteration process, Q, S, n, the initial pipe diameter D0, and the initial flow velocity v are input.

[0153] Then calculate the Xie Cai coefficient C:

[0154]

[0155] Calculate the actual flow rate:

[0156]

[0157] Determine whether the absolute value of the difference between the actual flow rate and the initial flow rate is less than the preset error (generally 5%). If not, adjust the pipe diameter and re-execute the above steps. If so, use the current pipe diameter as the pipe diameter of the unit to be laid.

[0158] The above embodiment can accurately calculate the optimal pipe diameter of the unit to be laid to meet the sewage flow rate based on the sewage load characteristics of the unit to be laid, thereby reducing the cost of pipe materials while achieving sewage transmission.

[0159] In some embodiments, the intelligent planning module is specifically configured to perform the following steps:

[0160] Step S041 : taking a preset number of grid cells at the end of the main drainage line as cells to be planned.

[0161] Step S042: Eliminate the units to be planned that do not meet the preset constraint conditions.

[0162] The preset constraints can include elevation difference, soil bearing capacity, average soil permeability, and road quantity. This means that when determining the site for a sewage treatment plant, plots that are unsuitable for plant construction are first eliminated.

[0163] Specifically, the elevation difference constraint means that the slope of the planned unit cannot exceed a threshold (5%), otherwise the filling and excavation costs will be too high; the soil bearing capacity constraint means that the soil bearing capacity of the planned unit must be greater than a certain threshold (100kPa) to meet the foundation requirements of the structure; the average soil permeability constraint means that the average soil permeability of the planned unit must be less than a certain threshold to reduce the risk of leakage; and the road number constraint means that the number of roads contained in the planned unit must be greater than a certain threshold to facilitate construction and maintenance.

[0164] Step S043: determining at least one target planning unit in each unit to be planned based on preset evaluation indicators, preset indicator weights and a GIS spatial analysis model, and using the target planning unit as a sewage treatment site.

[0165] Among them, the preset evaluation indicators and preset indicator weights are the required data when the GIS spatial analysis model is analyzed, such as the construction cost accounting for a weight of 30%, the operation efficiency accounting for a weight of 20%, and so on.

[0166] The GIS spatial analysis model will use these evaluation indicators and the corresponding weighted cost grid calculation, AHP decision-making, etc. to finally determine the optimal planning unit that meets these evaluation indicators as the target planning unit.

[0167] In some embodiments, the data collection module is also used to collect test results of multiple water quality testing points in the target rural area.

[0168] The data processing module is also used to calculate the sewage update weight of the grid unit where the corresponding water quality monitoring point is located based on each test result, and update the sewage load heat map according to each sewage update weight.

[0169] Specifically, the detection results are compared horizontally to obtain the severity of each detection result, which is used as the sewage update weight. The sewage load value and sewage update weight of the corresponding grid unit are used to realize the update of the sewage load heat map.

[0170] After generating the sewage load heat map, the above embodiment further updates the sewage load value according to the collected water quality test results, so that the sewage treatment demand expressed by the sewage load heat map is more accurate.

[0171] In some embodiments, the system further includes a detection planning module.

[0172] The detection planning module is used to determine the coordinates of each water quality monitoring point based on land type data.

[0173] Specifically, the detection planning module determines the proportion of land composition based on land type data, and uses the grid units where the proportion of a certain type exceeds a certain preset threshold as the coordinate units of the water quality monitoring points.

[0174] For example, in grid cells where livestock land accounts for more than one-third, water quality monitoring points need to be set up downstream.

[0175] In some embodiments, the system further includes a process recommendation module.

[0176] The process recommendation module is used to calculate the elevation standard deviation of the target rural area based on terrain elevation data; calculate the corrosion risk value based on land type data and soil permeability data; and generate process recommendation information based on the elevation standard deviation and corrosion risk value.

[0177] Among them, quantitative analysis methods such as fault tree analysis (FTA) can be used to calculate the corrosion risk value.

[0178] Specifically, the process recommendation module is used to include a process recommendation table. Different elevation standard deviations and corrosion risk values correspond to recommended process types. Taking the drainage pipe material process as an example, in rural areas with large elevation standard deviations, the drainage pipes generally have many bends. Therefore, the pipe material is preferably made of plastic and other materials with good ductility. A high corrosion risk value indicates that the underground soil is highly moist and has a high oxygen content. Metal materials are extremely susceptible to oxidation. Therefore, metal materials should be avoided during laying. A low corrosion risk value indicates that the soil is too dry, which may cause pipe settlement. Therefore, the pipe material needs to be selected from materials with lower density and lighter weight.

[0179] See Figure 3 Another embodiment of the present application provides a rural sewage treatment planning method, comprising:

[0180] Step S11: Acquire construction scope information and process requirement information.

[0181] Step S12: Perform planning analysis on the construction scope information and process requirement information to obtain engineering plan information.

[0182] Among them, engineering planning information includes schedule planning information and material requirement planning information.

[0183] Step S13: Acquire real-time construction information and project plan information.

[0184] Step S14: Analyze the completion status of the real-time construction information according to the project plan information to obtain construction completion result information.

[0185] In some embodiments, the above-mentioned planning analysis of the construction scope information and process requirement information to obtain the schedule information and material requirement planning information includes:

[0186] Step S121, obtaining task target information.

[0187] Step S122: Decompose the task according to the construction scope information and the task target information to obtain task division information.

[0188] Step S123: Perform time analysis based on the process requirement information and task division information to obtain schedule information.

[0189] Step S124: Analyze the required materials based on the schedule information and process requirement information to obtain the material demand quantity information.

[0190] Step S125 , matching the corresponding procurement scheduling information with the material demand quantity information to obtain material requirement planning information.

[0191] In some embodiments, the above-mentioned completion status analysis of the real-time construction information based on the project plan information to obtain the construction completion result information includes:

[0192] Step S141: Acquire real-time procurement information and project plan information.

[0193] Step S142: Verify the real-time procurement information according to the project plan information to obtain procurement completion result information.

[0194] Step S143: Acquire labor subcontracting real-time information and project plan information.

[0195] Step S144: Verify the real-time information of labor subcontracting according to the project plan information to obtain information on the labor subcontracting situation.

[0196] In some embodiments, see Figure 4 , the method further comprises:

[0197] Step S01: Acquire geographic data and biological distribution data of a target rural area.

[0198] Among them, geographic data include meteorological and hydrological data, terrain elevation data, land type data and soil infiltration data of the target rural areas; biological distribution data include population distribution data and livestock distribution data.

[0199] Step S02: Analyze geographic data and biological distribution data to obtain a wastewater load thermal map.

[0200] Step S03: Generate a drainage pipeline plan map based on the geographic data and the sewage load heat map.

[0201] Step S04: Determine the sewage treatment site based on the geographical data and the drainage pipeline plan.

[0202] Step S05: Add the drainage pipeline plan and sewage treatment site selection into the construction scope information.

[0203] For further information, see Figure 5 The above analysis of geographic data and biological distribution data yields a wastewater load heat map, including:

[0204] Step S021 : dividing the target rural area into grids of a preset size to obtain a plurality of grid units.

[0205] Step S022: One-hot encode the land type data in the geographic data.

[0206] Step S023, extracting sewage load characteristics of each grid unit based on terrain elevation data, biological distribution data, and land type data; wherein the sewage load characteristics include neighborhood statistical characteristics of the grid unit, terrain conductivity characteristics, land composition ratio, population equivalent, and average soil infiltration rate.

[0207] Step S024: constructing a sewage generation characteristic matrix according to the preset sewage coefficient and the sewage load characteristics of each grid unit.

[0208] Step S025 , inputting the sewage generation characteristic matrix into the sewage load prediction model to obtain a sewage load heat map.

[0209] Furthermore, the method further comprises:

[0210] Step S0231, determining the lowest point elevation of the target rural area based on the terrain elevation data.

[0211] Step S0232: Subtract the lowest point elevation from the average elevation of each grid cell to obtain the drainage potential energy of each grid cell.

[0212] Step S0233: Calculate the runoff accumulation of each grid cell based on meteorological and hydrological data.

[0213] Step S0234: Using drainage potential and runoff accumulation as topographic conductivity characteristics of the grid cell.

[0214] For further information, see Figure 6 The above-mentioned drainage pipeline plan diagram is generated based on geographic data and sewage load heat map, including:

[0215] Step S031: determine pollution-sensitive areas based on land type data, and remove grid cells where pollution-sensitive areas exist.

[0216] Step S032: Analyze terrain elevation data using a mathematical elevation model and the D8 algorithm to obtain a natural drainage path.

[0217] Step S033: determining the high-load unit and the medium-load unit in each grid unit according to the sewage load thermodynamic map.

[0218] Step S034: selecting high-load units that coincide with the natural drainage path as target trunk units.

[0219] Step S035: construct a drainage trunk line according to each target trunk unit and the natural drainage path.

[0220] Step S036: Connect each medium-load unit and each remaining high-load unit to the drainage trunk line to obtain multiple drainage branches; use the drainage trunk line and each drainage branch line as a drainage pipeline plan diagram.

[0221] Furthermore, the method further comprises:

[0222] Step S061, taking the grid unit through which the drainage pipe passes as the unit to be laid;

[0223] Step S062, calculating the predicted flow rate of the unit to be laid according to the preset sewage coefficient and the sewage load characteristics of the unit to be laid;

[0224] Step S063: Determine the pipe diameter of the drainage pipe in the unit to be laid according to the Manning formula and the predicted flow rate.

[0225] Furthermore, the above-mentioned determination of the sewage treatment site based on geographic data and drainage pipeline plan includes:

[0226] Step S041 : taking a preset number of grid cells at the end of the main drainage line as cells to be planned.

[0227] Step S042: Eliminate the units to be planned that do not meet the preset constraints; wherein the preset constraints include elevation difference constraint, soil bearing capacity constraint, soil average permeability constraint, and road quantity constraint.

[0228] Step S043: determining at least one target planning unit in each unit to be planned based on preset evaluation indicators, preset indicator weights and a GIS spatial analysis model, and using the target planning unit as a sewage treatment site.

[0229] Furthermore, the method further comprises:

[0230] Step S071, collecting test results of multiple water quality test points in the target rural area.

[0231] Step S072: Calculate the sewage update weight of the grid unit corresponding to the water quality monitoring point according to each detection result.

[0232] Step S073: Update the sewage load heat map according to the updated weights of each sewage.

[0233] The specific limitations of a rural sewage treatment planning device provided in this embodiment can be found in the above embodiment of a rural sewage treatment planning method, which will not be repeated here.

[0234] An embodiment of the present application provides a computer device, which may include a processor, a memory, a network interface, and a database connected via a system bus. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of the operating system and computer program in the non-volatile storage medium. The network interface of the computer device is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, the processor executes the steps of a rural sewage treatment planning method as in any of the above embodiments.

[0235] The working process, working details and technical effects of the computer equipment provided in this embodiment can be found in the above embodiment of a rural sewage treatment planning method, which will not be repeated here.

[0236] The embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the steps of a rural sewage treatment planning method as described in any of the above embodiments are implemented. The computer-readable storage medium refers to a carrier for storing data, which may include, but is not limited to, a floppy disk, an optical disk, a hard disk, a flash memory, a USB flash drive, and / or a memory stick, and the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The working process, working details, and technical effects of the computer-readable storage medium provided in this embodiment can be found in the above embodiment of a rural sewage treatment planning method, and will not be repeated here.

[0237] Those skilled in the art will appreciate that all or part of the processes in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0238] The technical features of the above embodiments can be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0239] The above-described embodiments merely represent several implementation methods of the present application. While the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that a person skilled in the art could make various modifications and improvements without departing from the spirit of the present application, all of which fall within the scope of protection of the present application. Therefore, the scope of protection of the present patent application shall be determined by the appended claims.

Claims

1. A rural sewage treatment planning system, characterized in that: include: A planning and collecting device is used to obtain construction scope information and process requirement information, perform planning analysis on the construction scope information and process requirement information, and obtain engineering plan information; the engineering plan information includes schedule plan information and material requirement plan information; The construction collection device is used to obtain real-time construction information and project plan information, analyze the completion status of the real-time construction information based on the project plan information, and obtain construction completion result information.

2. The rural sewage treatment planning system according to claim 1 is characterized in that: The planning collection device includes: The progress analysis module is used to obtain task target information, decompose tasks according to construction scope information and task target information, and obtain task division information; perform time analysis according to process requirement information and task division information to obtain progress plan information; The material requirement analysis module is used to analyze the required materials based on the schedule information and process requirement information to obtain the material requirement quantity information; and to match the corresponding procurement scheduling information based on the material requirement quantity information to obtain the material requirement plan information.

3. The rural sewage treatment planning system according to claim 1 is characterized in that: The construction collection device includes: The procurement information collection module is used to obtain real-time procurement information and project plan information, check the real-time procurement information against the project plan information, and obtain procurement completion result information; The labor subcontracting collection module is used to obtain real-time information on labor subcontracting and project plan information, and to check the real-time information on labor subcontracting against the project plan information to obtain information on the labor subcontracting situation.

4. The rural sewage treatment planning system according to claim 1 is characterized in that: It also includes a planning generation device for obtaining geographic data and biological distribution data of the target rural area, generating a drainage pipeline plan and sewage treatment site selection for the target rural area based on the geographic data and biological distribution data, and inserting the construction scope information.

5. The rural sewage treatment planning system according to claim 4 is characterized in that: The planning generating device comprises: Data collection module, used to obtain geographical data and biological distribution data of target rural areas; The geographic data includes meteorological and hydrological data, terrain elevation data, land type data, and soil permeability data of the target rural area; the biological distribution data includes population distribution data and livestock distribution data; a data processing module, configured to analyze the geographic data and the biological distribution data to obtain a wastewater load thermal map; a load analysis module for generating a drainage pipeline plan diagram based on the geographic data and the sewage load thermal map; An intelligent planning module is used to determine a sewage treatment site based on the geographic data and the drainage pipeline plan map.

6. The rural sewage treatment planning system according to claim 1 is characterized in that: The data processing module is specifically configured to divide the target rural area into grids of a preset size to obtain a plurality of grid units; Performing one-hot encoding on land type data in the geographic data; extracting sewage load characteristics of each grid cell based on the terrain elevation data, the biological distribution data, and the land type data; the sewage load characteristics include neighborhood statistical characteristics, terrain conductivity characteristics, land composition ratio, population equivalent, and average soil infiltration rate of the grid cell; A sewage generation characteristic matrix is constructed according to a preset sewage coefficient and the sewage load characteristics of each grid unit; the sewage generation characteristic matrix is input into a sewage load prediction model to obtain the sewage load thermal map.

7. The rural sewage treatment planning system according to claim 6 is characterized in that: The data processing module is specifically used to determine the lowest point elevation of the target rural area based on the terrain elevation data; subtract the lowest point elevation from the average elevation of each grid cell to obtain the drainage potential of each grid cell; calculate the cumulative runoff of each grid cell based on the meteorological and hydrological data; and use the drainage potential and the cumulative runoff as the terrain conduction characteristics of the grid cell.

8. The rural sewage treatment planning system according to claim 6, characterized in that: The load analysis module is specifically used to determine pollution-sensitive areas according to the land type data, and eliminate grid cells where the pollution-sensitive areas exist; Analyzing the terrain elevation data using a mathematical elevation model and a D8 algorithm to obtain a natural drainage path; Determining a high-load unit and a medium-load unit in each of the grid units according to the sewage load thermodynamic map; selecting the high-load unit that coincides with the natural drainage path as the target trunk unit; Constructing a drainage trunk line according to each of the target trunk units and the natural drainage path; Each of the medium-load units and the remaining high-load units are connected to the drainage trunk line to obtain a plurality of drainage branches; the drainage trunk line and each of the drainage branches are used as the drainage pipeline plan diagram.

9. The rural sewage treatment planning system according to claim 8, characterized in that: The load analysis module is further configured to use the grid cells through which the drainage pipe passes as cells to be laid; The predicted flow of the unit to be laid is calculated according to a preset sewage coefficient and the sewage load characteristics of the unit to be laid; and the pipe diameter of the drainage pipe in the unit to be laid is determined according to the Manning formula and the predicted flow.

10. The rural sewage treatment planning system according to claim 8, characterized in that: The intelligent planning module is specifically configured to use a preset number of grid cells located at the end of the drainage trunk line as cells to be planned; Eliminating the units to be planned that do not meet preset constraints; the preset constraints include elevation difference constraints, soil bearing capacity constraints, soil average permeability constraints, and road quantity constraints; At least one target planning unit is determined in each of the units to be planned based on preset evaluation indicators, preset indicator weights and a GIS spatial analysis model, and the target planning unit is used as the sewage treatment site.

11. The rural sewage treatment planning system according to claim 6, characterized in that: The data acquisition module is also used to collect test results of multiple water quality test points in the target rural area; The data processing module is further configured to calculate the sewage update weight of the grid unit corresponding to the water quality monitoring point according to each of the detection results, and update the sewage load heat map according to each of the sewage update weights.

12. The rural sewage treatment planning system according to claim 11, characterized in that: The planning generation device further includes a detection planning module for determining the coordinates of each water quality monitoring point according to the land type data.

13. The rural sewage treatment planning system according to claim 5, characterized in that: The planning generation device further includes a process recommendation module for calculating the elevation standard deviation of the target rural area based on the terrain elevation data; calculating a corrosion risk value based on the land type data and the soil permeability data; Process requirement information is generated according to the elevation standard deviation and the corrosion risk value.

14. A rural sewage treatment planning method, characterized in that: include: Acquiring construction scope information and process requirement information; performing planning analysis on the construction scope information and process requirement information to obtain engineering plan information; wherein the engineering plan information includes schedule plan information and material requirement plan information; Obtain real-time construction information and project plan information; The completion status of the real-time construction information is analyzed according to the project plan information to obtain the construction completion result information.

15. The rural sewage treatment planning method according to claim 14, characterized in that: The construction scope information and process requirement information are planned and analyzed to obtain engineering plan information, including: Obtain mission target information; Decomposing tasks according to the construction scope information and the task target information to obtain task division information; Performing time analysis based on the process requirement information and the task division information to obtain schedule information; Perform material demand analysis based on the schedule information and the process requirement information to obtain material demand quantity information; The material requirement planning information is obtained by matching the corresponding procurement scheduling information with the material requirement quantity information.

16. The rural sewage treatment planning method according to claim 14, characterized in that: The completion status analysis of the real-time construction information based on the project plan information to obtain the construction completion result information includes: Obtain real-time procurement information and engineering plan information; Verify the real-time procurement information according to the engineering plan information to obtain the procurement completion result information; Obtain real-time information on labor subcontracting and project planning; The real-time information of labor subcontracting is checked against the engineering plan information to obtain the labor subcontracting status information.

17. The rural sewage treatment planning method according to claim 14, characterized in that: Also includes: Obtain geographical data and biological distribution data of target rural areas; The geographic data includes meteorological and hydrological data, terrain elevation data, land type data, and soil permeability data of the target rural area; the biological distribution data includes population distribution data and livestock distribution data; Analyze geographic data and biological distribution data to obtain wastewater load heat maps; Generate sewer plan diagrams based on geographic data and wastewater load heat maps; Determine wastewater treatment site selection based on geographic data and drainage pipeline plans; The drainage pipeline plan and sewage treatment site selection are included in the construction scope information.

18. The rural sewage treatment planning method according to claim 17, characterized in that: The analysis of geographic data and biological distribution data to obtain a wastewater load heat map includes: Dividing the target rural area into grids of a preset size to obtain a plurality of grid units; Performing one-hot encoding on the land type data in the geographic data; extracting sewage load characteristics of each grid cell based on the terrain elevation data, the biological distribution data, and the land type data; wherein the sewage load characteristics include neighborhood statistical characteristics, terrain conductivity characteristics, land composition ratio, population equivalent, and average soil permeability of the grid cell; Constructing a sewage generation characteristic matrix according to a preset sewage coefficient and sewage load characteristics of each grid unit; The sewage generation characteristic matrix is input into a sewage load prediction model to obtain the sewage load thermal map.

19. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the rural sewage treatment planning method as described in any one of claims 14 to 18 are implemented.

20. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the rural sewage treatment planning method as described in any one of claims 14 to 18 are implemented.

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