Sewage diagnosis method and system based on online monitoring equipment

Abstract

The invention relates to the technical field of water environment monitoring, and discloses a sewage diagnosis method and system based on online monitoring equipment. According to the method, on-line monitoring equipment is installed on a sewage pipeline, linkage with water plant, pump station and river water level data is carried out, actual working conditions are combined, a problem area is diagnosed from data changes, and then a problem source is locked, so that the current situation of drainage working conditions can be comprehensively and truly mastered, and a problem point location can be quickly and effectively diagnosed; the water quality of the river channel reaches the standard and the quality and efficiency of the drainage system are improved, so that the cost of the sewage diagnosis method is reduced, the operation family bottom condition of the drainage working condition can be comprehensively supplemented and mastered in a long time period by monitoring the data of the observation station on the basis of the existing drainage data, and fixed asset data and dynamic monitoring data are combined. And comprehensive and in-place analysis work is ensured.

Description

Technical Field

[0001] This invention relates to the field of water environment monitoring technology, and in particular to a wastewater diagnosis method and system based on online monitoring equipment. Background Technology

[0002] Improving urban water environment quality aligns with my country's fundamental national policy, and its effectiveness directly impacts national ecological security, the quality of the living environment, and sustainable economic and social development. Urban sewage pipe networks encompass domestic sewage, industrial wastewater, and runoff, characterized by their wide coverage, complex topological relationships, and difficulty in defect identification. Existing technologies face numerous challenges and limitations in diagnosing problems in sewage systems. First, many regions in my country, especially southern cities, commonly experience high water levels in their pipe networks due to large pipe diameters and high flow rates, making it impossible to effectively lower the operating water level using measures such as sealing or diversion. Second, investigations are often conducted comprehensively, without prioritizing areas that affect the influent concentration of sewage treatment plants to varying degrees, resulting in wasted manpower, time, and excessive engineering investment. Finally, information silos are prominent; water data from pipe networks, treatment plants, and rivers are not organically linked, leading to fragmented analysis, incomplete consideration of factors, and decision-making relying on a local perspective, making it difficult to formulate a global optimization strategy.

[0003] It is evident that existing wastewater diagnostic methods suffer from high costs and low analytical accuracy. Summary of the Invention

[0004] This invention provides a wastewater diagnostic method and system based on online monitoring equipment to solve the problems of high cost and low analytical accuracy of existing wastewater diagnostic methods.

[0005] Firstly, this application provides a wastewater diagnostic method based on online monitoring equipment, comprising: Obtain the topology of the drainage pipe network within the project area; Based on the aforementioned topological relationship, scheduling data of sewage treatment plants and sewage pumping stations, as well as river water level change data, are collected. Based on the scheduling data of the sewage treatment plant and sewage pumping station and the river water level change data, a correlation analysis of pumping station scheduling, river water level and sewage pipeline is conducted. Online monitoring equipment was deployed at key nodes based on the correlation analysis results. Based on monitoring data from online monitoring equipment, combined with water management data from the drainage system (influent flow and concentration of sewage treatment plants, liquid level and flow rate of sewage pumping stations, river water level, and meteorological data), multi-parameter collaborative diagnosis is carried out to assist in plant and station scheduling and temporary measures, and to take corresponding solutions to sewage system problems.

[0006] Secondly, this application provides a wastewater diagnostic system based on an online monitoring device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the method described in the first aspect above.

[0007] The present invention has the following beneficial effects: This application presents a wastewater diagnostic method based on online monitoring equipment. By installing online monitoring equipment in wastewater pipelines and linking it with water plant, pumping station, and river water level data, combined with actual operating conditions, it diagnoses problem areas from data changes and then pinpoints the source of the problem. This allows for a comprehensive and accurate understanding of the current state of drainage operations, enabling quick and effective diagnosis of problem locations. This achieves river water quality standards and improves the efficiency of the drainage system, thereby reducing the cost of wastewater diagnostic methods. Based on existing drainage data, it can supplement and comprehensively understand the operational status of drainage operations over a long period of time by using data from monitoring stations. By combining fixed asset data with dynamic monitoring data, it ensures a comprehensive and thorough analysis.

[0008] In addition to the objectives, features and advantages described above, the present invention has other objectives, features and advantages.

[0009] The present invention will now be described in further detail with reference to the figures. Attached Figure Description

[0010] The accompanying drawings, which form part of this application, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings: Figure 1 This is a flowchart of a wastewater diagnosis method based on a small number of online monitoring devices, according to a preferred embodiment of the present invention. Detailed Implementation

[0011] The technical solution of the present invention will be clearly and completely described below. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0012] Unless otherwise defined, the technical or scientific terms used in this invention shall have the ordinary meaning understood by one of ordinary skill in the art to which this invention pertains. The terms "first," "second," and similar terms used in this invention do not indicate any order, quantity, or importance, but are merely used to distinguish different components. Similarly, the terms "an" or "a," and similar terms, do not indicate a quantity limitation, but rather indicate the presence of at least one.

[0013] It should be understood that the wastewater diagnosis method based on online monitoring equipment provided in this application can be applied to investigation and consulting projects that lack testing conditions, have unclear topological relationships, are under great pressure to meet deadlines, have tight budgets, and limited human resources.

[0014] Please see Figure 1 This application provides a wastewater diagnosis method based on online monitoring equipment, comprising: Obtain the topology of the drainage pipe network within the project area; Based on the aforementioned topological relationship, scheduling data of sewage treatment plants and sewage pumping stations, as well as river water level change data, are collected. Based on the scheduling data of the sewage treatment plant and sewage pumping station and the river water level change data, a correlation analysis of pumping station scheduling, river water level and sewage pipeline is conducted. Online monitoring equipment was deployed at key nodes based on the correlation analysis results. Based on the monitoring data from online monitoring equipment, corresponding wastewater treatment measures are implemented.

[0015] In this step, based on the water quality and water level data from the online monitoring equipment and the water affairs data from the drainage system, combined with auxiliary measures such as plant scheduling and temporary blocking, multi-parameter collaborative diagnosis of drainage system problems is conducted; the locations of monitoring stations are flexibly adjusted to narrow down the problem area.

[0016] Furthermore, it can also empower system-wide investigation and consultation work, providing a basis for taking corresponding governance measures.

[0017] The aforementioned wastewater diagnostic method based on online monitoring equipment, by installing online monitoring devices in wastewater pipelines and linking them with water plant, pumping station, and river water level data, combined with actual operating conditions, diagnoses problem areas from data changes and then pinpoints the source of the problem. This allows for a comprehensive and accurate understanding of the current state of drainage operations, enabling quick and effective diagnosis of problem locations. This achieves river water quality standards and improves the efficiency of the drainage system, thereby reducing the cost of wastewater diagnostic methods. Based on existing drainage data, it can supplement and comprehensively understand the operational status of drainage operations over a long period of time by using data from monitoring stations, combining fixed asset data with dynamic monitoring data to ensure comprehensive and thorough analysis.

[0018] The steps of the above-described wastewater diagnostic method based on online monitoring equipment are described below with a complete example: 1) Pipeline topology investigation and system analysis First, the technical team needs to obtain the topological relationships of the drainage network within the project scope, including pipe materials, pipe diameters, elevations, and flow directions. Based on accurate basic information, the team will systematically organize and organically link various elements such as "plants," "networks," "rivers," and "sources" to form clear rainwater and sewage systems, as well as various thematic maps such as "misconnection," "river backflow," and "high water level operation," providing a basis for subsequent work.

[0019] 2) Correlation analysis of pump station scheduling, river water level, and sewage pipelines. We collected scheduling data from wastewater treatment plants and wastewater pumping stations over the past three years (at least the past year) and river water level change data. We analyzed the concentration changes of wastewater at the plants under different operating conditions, mainly including the following points: Data correlation between wastewater treatment plants and pumping stations: The correspondence between the wastewater treatment plant's influent volume and the total output volume of each pumping station is analyzed. The proportion of each pumping station's output volume relative to the plant's influent volume is used to understand the basic situation of the plant system. The changes in influent concentration when the contribution of a particular pumping station to the plant's influent volume changes are studied to understand the overall water quality and quantity within the service area of ​​that pumping station. For example, if preliminary calculations show that the contribution proportions of three pumping stations A, B, and C to the plant's influent volume are 20%, 50%, and 30%, respectively, and the influent concentration increases by 10 mg / L when pumping station A's contribution drops to 15%, it can be preliminarily inferred that the wastewater in pumping station A's service area is "low in quantity and low in quality." In subsequent work, the pumping volume of pumping station A can be appropriately reduced.

[0020] The operation of sewage pumping stations and changes in river water levels: This study investigates the fluctuations in pump pool levels and flow rates during the dry and rainy seasons, as well as the elevation comparison and trend changes between pump pool levels and river water levels. For example, if the pump pool level at pumping station A is significantly higher during the rainy season than during the dry season, and the difference between the pump station level and the river level is small during high water levels, indicating a strong positive correlation between pump station level fluctuations and river water levels, and a clear trend of the pump station level rising and falling in tandem with the river level, then it can be preliminarily determined that the sewage system within the service area of ​​pumping station A has strong connectivity with the river, and that river backflow is severe.

[0021] Impact of River Water Level Frequency on Wastewater Treatment Plant Influent Concentration: Statistics on the frequency of river water level intervals in various years (or months) were compiled, and the impact of different water level interval percentages on the wastewater treatment plant was analyzed. For example, in May 2024, the water level of river A was <0.8m for 36% of the time, 0.8m ≤ water level ≤ 0.9m for 45% of the time, and 0.9m < water level for 19% of the time, with an influent BOD concentration of 85 mg / L. In May of a certain year, the proportion of time when the water level was <0.8m was 30%, the proportion of time when the water level was 0.8m≤0.9m was 45%, and the proportion of time when the water level was <0.9m was 25%. The influent BOD concentration was 78mg / L. It can be preliminarily inferred that if the time when the water level was <0.9m increased by 6%, the concentration decreased by 7mg / L. The critical water level for the river water to backflow into the sewage system is 0.9m. Facilities with a discharge outlet or interception well weir crest elevation of 0.9m can be reviewed and investigated.

[0022] It is worth explaining that if there is a connection between the river and the pipeline network within the service area of ​​the sewage pumping station, the high water level in the river will lead to a large amount of backflow into the sewage system, and the high pumping volume of the pumping station will lead to a large amount of inflow into the plant, which in turn will reduce the concentration of the influent to the sewage treatment plant.

[0023] These analytical findings will be used to guide the deployment of monitoring stations, such as installing monitoring equipment at key nodes before and after pumping stations, river crossing pipes, intercepting wells along rivers, and main pipelines; and to identify the main problems in the sewage system to assist in problem diagnosis.

[0024] In this way, by analyzing the correlation of different water data, conducting pump station scheduling experiments, river water control experiments, single-point blocking experiments, and segmented pipe blockage experiments, we can use diverse methods to discover problems in the sewage system and create testing conditions.

[0025] 3) Deploy online monitoring equipment at key nodes By analyzing the pipeline network and correlations under different operating conditions, online monitoring equipment is deployed at key nodes in the sewage pipeline network according to different problem types. These key nodes typically include main inlet pipes, pump station inlet and outlet pipes, municipal trunk pipes and important regional branch pipes, inverted siphons crossing rivers, and sections where monitoring is restricted. For example, to assess the overall condition of the sewage system, monitoring stations can be deployed on different municipal trunk pipes; to assess the overall water collection effect of a particular sewage trunk pipe on the region, monitoring stations can be deployed after the branch pipes converge at the junction; and to assess the operation of inverted siphons, monitoring stations can be deployed on both banks of the river. By deploying monitoring equipment at key nodes, the water quality and quantity of the main pipe / pump station service area / key research area can be quickly assessed, enabling precise diagnosis of drainage system problems in subsequent steps.

[0026] In this application, the deployment of key nodes allows for a rapid understanding of the problems in the main areas and a roughly accurate assessment of the current situation. Furthermore, in subsequent steps, the flexible adjustment of station locations can address the limitation of a small number of devices. This approach offers both strong mobility and the ability to collect data from different areas, thereby reducing equipment costs and installation and maintenance expenses.

[0027] From the perspectives of economy and reliability, this application uses three indicators for monitoring equipment: water level, conductivity, and water temperature. The application of each indicator is as follows: Water level: Primarily used to characterize the operation of sewage pipe networks. A water level below the design fullness is defined as "normal," between the design fullness and full pipe is defined as "high water level warning," and a water level exceeding the top of the pipe is defined as "high water level alarm." Causes of high water levels include river backflow, groundwater infiltration, insufficient pipe flow capacity, and plant / station scheduling.

[0028] Electrical conductivity: According to relevant research reports, the conductivity range for drainage units is 500~1000 μS / cm, for sewage pipes on municipal roads it is 400~700 μS / cm, for inland rivers it is 200~450 μS / cm, and for outlying rivers it is 50~400 μS / cm. Abnormal conductivity values ​​are caused by factors such as external water intrusion, pipe deposition, and industrial wastewater discharge.

[0029] Water temperature: Water temperature is a routine monitoring method, and the values ​​differ significantly between summer and winter. It can also be used as a reference for judging the wastewater discharge of industrial enterprises.

[0030] 4) Plant and station scheduling experiment For the pipe network between sewage treatment plants and sewage pumping stations, conditions can be created for pipe network inspection by increasing the sewage treatment plant's pumping capacity and shutting down the sewage pumping stations. For the pipe network upstream of sewage pumping stations, conditions can be created for pipe network inspection by increasing the sewage pumping capacity of the pumping stations. For large-area sewage zones, overall enclosed dewatering can be used for pipe network inspection. Based on the water level and quality data from online monitoring stations, combined with changes in water management data, problem diagnosis is conducted to guide the inspection work; if the conditions for inspection are still not met, proceed to the next step.

[0031] 5) Flexibly adjust the station layout plan to narrow down the problem area. By analyzing the changing patterns of monitoring data under different operating conditions, the time-series variation patterns of water level and water quality at a given location can be derived. Combined with the specific circumstances of plant and station scheduling, the location of monitoring stations can be focused on important routes or key nodes, reducing the distance between stations or the control range. By densifying the number of monitoring stations along a specific route or in a particular area, more detailed data on water quantity and quality changes can be obtained. Based on the changes along the route and over time, the problem area can be narrowed down, providing crucial evidence for pinpointing the source of the problem.

[0032] If a branch pipe is found to be operating at a high water level and with a low conductivity value, denser monitoring points can be set up upstream of the branch pipe. After a period of observation, it can be analyzed whether the water quality and water level change patterns are consistent with the production and living patterns and the correlation with the trend of river water level changes. In this way, it is easier to find the water quality change points and water level change points along the branch pipe, providing a basis for accurate investigation and precise measures.

[0033] In this way, the distribution of monitoring stations was adjusted according to the actual situation of the project. The work proceeded in the following order: first, grasping the overall basic situation; then, moving to areas with serious problems; and finally, focusing on defective pipe sections. This gradually narrowed the scope of the investigation, ensuring the overall plan was scientific and efficient. For anomalies in monitoring data that pinpointed problem areas, personnel were promptly assigned to conduct on-site verification. Through continuous verification of station data and on-site results, the problem area was narrowed down, and the root cause of the problem was identified. This approach achieved, for the first time, the comprehensive utilization of a few online monitoring stations combined with techniques from the fields of investigation, design, and operation and maintenance, forming a diagnostic method for the integrated analysis of multi-element water resources data, thus improving the timeliness and scientific rigor of the work.

[0034] 6) Temporarily seal off any obvious backflow points / interception wells that have been identified. On-site verification will be conducted for existing interception points / wells / pipes and misconnections below the normal water level of the river. On-site verification refers to on-site investigation and confirmation. Temporary sealing (e.g., using airbags) will be implemented for points significantly causing river backflow. This step aims to identify unknown areas of external water intrusion and assess the overall external water volume within the target area. Problem diagnosis will be conducted based on the water level and quality data from online monitoring stations to guide testing; if testing is still not feasible, proceed to the next step.

[0035] 7) Sectional sealing and verification of sewage branch pipes. Experiments continued in the narrowed-down problem area. By sealing off branch pipes section by section to verify the water level, quantity, and quality of the main pipe and each branch pipe, the pollution carrying capacity of each branch pipe was determined. By analyzing the water consumption and type upstream of a single branch pipe, the water level, quantity, and quality of that branch pipe were assessed to determine if they matched. If they matched, analysis was conducted on other areas; if they did not match, the previous step was repeated, and mobile monitoring stations were used to further refine the monitoring of single branch pipes, identifying issues such as river backflow, low-concentration industrial wastewater, and groundwater infiltration within the branch pipe area.

[0036] 8) Create a map showing the locations of problem areas to empower water environment management projects. For pipe sections that meet the conditions for precipitation dredging and testing, systematic precipitation dredging and testing work is used to fully understand the internal quality of the pipeline and find the causes of high water level and low concentration problems.

[0037] By analyzing the changes in water level and quality at online monitoring stations under different operating conditions, a list of problems was compiled and displayed on a single map of the drainage system. Through cross-verification with known problem locations, new problem areas and locations were discovered, guiding the orderly progress of the investigation work. This resulted in a comprehensive and accurate diagnostic analysis of the wastewater system, providing a foundation for subsequent water treatment projects.

[0038] In summary, the wastewater diagnosis method based on online monitoring equipment proposed in this application can supplement existing drainage data with long-term, comprehensive data from monitoring stations to gain a thorough understanding of the operational status of drainage systems. It combines fixed asset data with dynamic monitoring data to ensure comprehensive and thorough analysis. By using data from a small number of monitoring stations, it organically integrates various elements such as "plants, networks, rivers, and sources," allowing users to conduct multi-dimensional linkages under the same time and operating conditions, gaining a deeper understanding of the correlations in water resources data. Only a few online monitoring devices are needed to complete the system diagnosis, reducing equipment purchase, leasing, operation, maintenance, and installation costs, thus lowering overall costs. This analytical method for diagnosing wastewater system problems based on a small number of online monitoring devices is not only comprehensive, systematic, economical, flexible, diverse, and timely, but also significantly innovative in multi-element data analysis and multi-method application, effectively solving the problem of accurate diagnosis of existing wastewater system issues.

[0039] The following section uses a municipal wastewater treatment plant as an example to verify the steps of the above-mentioned wastewater diagnosis method based on online monitoring equipment: A municipal wastewater treatment plant is located in a tidal river network area, characterized by a dense river network and well-developed water system. The plant has a designed capacity of 100,000 m³ / d and is equipped with three main wastewater pipelines. Pumping station A is located on the northern main pipeline, pumping station B on the central main pipeline, and pumping station C on the southern main pipeline. All pumping stations are operating stably. The monthly average BOD5 concentration of the wastewater influent to the treatment plant is only 45 mg / L, attracting attention from environmental inspectors. Furthermore, all main pipelines operate at high water levels, making monitoring difficult. The area has undergone multiple rounds of water environment remediation, but the fragmented approach has yielded limited results. Therefore, there is an urgent need to diagnose the problems in the wastewater system. The diagnostic process according to the steps of this invention is as follows: 1) Pipeline network topology investigation and system analysis The technical team analyzed the wastewater treatment plant's supporting pipe network, creating a clear and relatively complete wastewater system diagram. Combined with on-site surveys, they assessed the water levels and concentrations in each main pipe. Further data collection, including but not limited to information on the daily operation and scheduling of the wastewater treatment plant and pumping stations, the opening and closing of sluice gates and the water level changes in major rivers, the distribution of industrial enterprises, and the quantity and quality of their wastewater discharge, was also conducted.

[0040] Correlation analysis of pump station scheduling, river water level and sewage pipeline Analysis revealed that the water quality concentration in the three main pipelines was highest in the south line, followed by the central line, and highest in the north line, while the water volume was highest in the central line, followed by the north line, and highest in the south line. The concentration at the wastewater treatment plant was significantly positively correlated with the river water level, and the water output of each wastewater pumping station was relatively stable and unaffected by the river water level. Based on this, the technical team prioritized the investigation of the north line wastewater system first, then the central line wastewater system, and finally the south line wastewater system.

[0041] Deploy online monitoring equipment at key nodes Five commercially available pipeline monitoring stations were used. These stations can transmit real-time values ​​of liquid level and conductivity within the sewage pipeline. Three stations were initially deployed in the northern sewage system, located upstream of the main pipeline before the pumping station, midstream of the main pipeline before the pumping station, and at the river crossing node after the pumping station.

[0042] 4) Plant and station scheduling experiment One week of monitoring data revealed that the two monitoring points before the pumping station operated at high water levels throughout the day, while the filling level of the monitoring point on the river-crossing pipe after the pumping station remained consistently around 0.6, indicating good operational status. Analysis suggested that the problem with the main pipeline on the northern route was concentrated before the pumping station. Under otherwise unchanged conditions, two rounds of plant and station scheduling experiments were conducted. During the experiments, the pumping capacity of pumping station A on the northern wastewater system was increased from the usual 750 m³ / h to 1100 m³ / h. The changes in online monitoring data are as follows: (1) The river water level is maintained at about 0.9m (85 elevation). The pumping capacity of the pumping station is increased to 1100m³ / h and maintained for 10 hours. The liquid level in the wells at the two monitoring points before the pumping station drops by about 4m, and the well opening is exposed with a fullness of about 0.8. The liquid level in the well is maintained in this state for 10 hours. As the flow rate of the pumping station drops, the liquid level in the well rises rapidly.

[0043] (2) When the river water level drops to about 0.65m (85 elevation), the pumping station increases the pumping capacity to 1100m³ / h and maintains it for 10 hours. The liquid level in the wells at the two monitoring points before the pumping station drops by about 4.2m, and the fullness of the pipe opening in the well is about 0.75. When the pumping station flow rate drops back to 750m³ / h, the liquid level in the well continues to operate at a low level for 12 hours. When the river water level slowly rises to about 0.9m (85 elevation), the liquid level in the well also gradually rises.

[0044] (3) When the liquid level in the well drops, the monitored conductivity value increases from 500 μS / cm to 700 μS / cm.

[0045] Based on the above conclusions, it can be determined that regardless of the changes in the river water level, the scheduling of pump station A plays a decisive role in the operation of the water level of the northern sewage system. It is recommended that the flow rate be controlled at around 1100 m³ / h in future inspections, construction, and even daily scheduling. This will not only ensure the healthy operation of the sewage pipeline but also mitigate the sedimentation and degradation caused by excessively high water levels.

[0046] 5) Adjust the station layout plan to narrow down the problem area. At pump station B of the central sewage system, the liquid level in the well did not drop significantly, suggesting that it was significantly affected by river backflow. Five monitoring devices were deployed to the main pipe and four branch pipes upstream of pump station B for a one-week baseline survey.

[0047] Data shows that all monitoring points are operating at high water levels. The correlation between the water quality and quantity of each branch pipe and the main pipe was analyzed. A branch pipe with the largest water volume and the lowest concentration was selected for in-depth study. The monitoring stations on two branch pipes with limited water collection range and high concentration were moved to a branch pipe to analyze the water level and water quality along its route.

[0048] 6) Temporarily seal off any obvious backflow points / interception wells that have been identified. When the known backflow points / interception wells within the sewage receiving area of ​​a certain branch pipe were temporarily sealed, the liquid levels in the wells of monitoring stations 1 and 2 of the branch pipe dropped rapidly, and the exposed filling degree of the pipe opening was about 0.5. The downstream monitoring station 3 was still operating at a high water level.

[0049] Monitoring data along the route showed that the water level first dropped and then rose, while the water quality continued to decline. It is speculated that there is leakage between monitoring stations No. 1 and No. 2. Based on the characteristics of the surrounding drainage users, low-concentration industrial wastewater has flowed in. There is still external water intrusion between monitoring stations No. 2 and No. 3. On-site personnel have been arranged to conduct a key review of this area.

[0050] 7) Sectional sealing and verification of sewage branch pipes. The topological relationship of the sewage branch pipes between monitoring stations 2 and 3 was analyzed. Sectional blockages were implemented downstream of station 2, and each section was verified. Station 3 downstream was used as the monitoring target for changes in operating conditions to identify abrupt changes in water volume and water quality. When node Q was blocked, the water volume curve became steeper, and the conductivity data showed an upward trend. Tracing upstream of this node revealed that the valve at the normal water level was severely damaged, allowing river water to directly enter the pipe network.

[0051] The above approach was adopted for other branch pipes of the central line and the sewage system of the southern line, and relevant typical problems were diagnosed respectively.

[0052] 8) Create a map showing the locations of problem areas to empower water environment management projects. During the diagnostic process, conditions are created for testing of pipe sections where pump station scheduling can provide testing opportunities. Areas with prominent high water levels and low concentrations are given priority for verification. Data is continuously cross-verified with on-site verification results to create a map of problem locations. The main problem types and verification results of each area are analyzed to enable relevant departments to have a deep understanding of the current drainage conditions and provide a basis for decision-making in water management projects.

[0053] By using the content of this invention for problem diagnosis, the investigation team discovered 35 leaks in river gate flaps, 3 leaks in fire hydrants, and 5 leaks in pipelines, and optimized the operation of one pumping station. This provided important basis and guidance for improving the quality and efficiency of the sewage system in the region.

[0054] This application also provides a wastewater diagnostic system based on an online monitoring device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, it implements the steps of the above-described method. This wastewater diagnostic system based on an online monitoring device can implement various embodiments of the above-described wastewater diagnostic method based on an online monitoring device and achieve the same beneficial effects; further details are omitted here.

[0055] The above description is merely a specific embodiment of this disclosure, but the scope of protection of this disclosure is not limited thereto. Any variations or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in this disclosure should be included within the scope of protection of this disclosure. Therefore, the scope of protection of this disclosure should be determined by the scope of the claims.

Claims

1. A wastewater diagnostic method based on online monitoring equipment, characterized in that, include: Obtain the topology of the drainage pipe network within the project area; Based on the aforementioned topological relationship, scheduling data of sewage treatment plants and sewage pumping stations, as well as river water level change data, are collected. Based on the scheduling data of the sewage treatment plant and sewage pumping station and the river water level change data, a correlation analysis of pumping station scheduling, river water level and sewage pipeline is conducted. Online monitoring equipment was deployed at key nodes based on the correlation analysis results. Based on the monitoring data from online monitoring equipment, corresponding wastewater treatment measures are implemented.

2. The wastewater diagnosis method based on online monitoring equipment according to claim 1, characterized in that, The acquisition of the topological relationship of the drainage pipe network within the project scope includes: The topological relationship of the drainage network includes drainage network information, element information, and thematic information. The drainage network information includes: pipe material, pipe diameter, elevation, and flow direction; the element information includes plant, network, river, and source; and the thematic information includes misconnection, river backflow, and high water level operation.

3. The wastewater diagnosis method based on online monitoring equipment according to claim 1, characterized in that, The correlation analysis between pump station scheduling, river water level, and sewage pipelines based on the scheduling data of the sewage treatment plant and sewage pumping stations and river water level change data includes: The data between the plants and stations are correlated: the proportion of the water conveyance of different sewage pumping stations to the influent of the sewage treatment plant is determined; the basic situation of the plant and station system is determined based on the proportion; the change of influent concentration when the contribution of a certain sewage pumping station to the influent of the sewage treatment plant changes is determined based on the basic situation; and the overall water quality and quantity within the service area of ​​the corresponding pumping station is determined based on the change. Analyze the operation of sewage pumping stations and changes in river water levels: Analyze the fluctuations in pump pool liquid level and flow rate of sewage pumping stations during the dry and rainy seasons, as well as the elevation comparison between pump pool liquid level and river water level, and the trend changes. Analyze the impact of river water level interval frequency on wastewater treatment plant influent concentration: Statistically analyze the frequency of river water level intervals in various years or months, and analyze the impact of different water level interval proportions on wastewater treatment plants.

4. The wastewater diagnosis method based on online monitoring equipment according to claim 1, characterized in that, The deployment of online monitoring equipment at key nodes based on correlation analysis results includes: Based on the different problem types identified in the correlation analysis results, online monitoring equipment was deployed at key nodes in the sewage pipe network. These key nodes included the main inlet pipe, pump station inlet and outlet pipes, municipal main pipes, important regional branch pipes, inverted siphon pipes crossing rivers, and pipe sections where monitoring was restricted.

5. The wastewater diagnosis method based on online monitoring equipment according to claim 1, characterized in that, The monitoring data from online monitoring equipment includes water level, conductivity, and water temperature.

6. The wastewater diagnosis method based on online monitoring equipment according to claim 1, characterized in that, The wastewater treatment measures include adjusting the monitoring station layout and sealing off problematic stations.

7. The wastewater diagnosis method based on online monitoring equipment according to claim 1, characterized in that, The wastewater treatment measures based on the monitoring data from the online monitoring equipment include: For the pipeline network between the sewage treatment plant and the sewage pumping station, measures were taken to increase the sewage discharge capacity of the sewage treatment plant; for the pipeline network upstream of the sewage pumping station, conditions were created to conduct pipeline network testing under the condition of increasing the sewage pumping capacity of the sewage pumping station; and problem diagnosis was carried out based on the water level and water quality of the online monitoring stations. If testing conditions are still not met, adjust the monitoring station layout to narrow down the problem area: Focusing the location of monitoring stations on important routes or key nodes reduces the distance between stations or the control range: by densifying the number of monitoring stations on a certain route or in a certain area, more detailed data on changes in water quantity and quality can be obtained, and the problem area can be narrowed down based on the changes in the data along the route and over time. On-site verification was conducted of the interception points / wells / pipes and misconnections below the normal water level of the river channel that had already been identified. Temporary sealing was carried out at the points that caused significant backflow of river water. The experiment continued in the narrowed problem area. By sealing off the branch pipes section by section to verify the water level, quantity, and quality of the main pipe and each branch pipe, the pollution carrying capacity of each branch pipe was determined. By analyzing the water consumption and water type upstream of a single branch pipe, the water level, quantity, and quality of that branch pipe were assessed to determine if they matched. If they matched, the analysis of other areas was carried out. If they did not match, the mobile monitoring station was used to further densify the situation of the single branch pipe and to determine the problems within the scope of that branch pipe.

8. A wastewater diagnostic system based on online monitoring equipment, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, it implements the steps of any of the methods described in claims 1-7.

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