A partitioned point distribution drainage pipe network monitoring system
By using a zoned monitoring system that automatically adjusts the monitoring method based on drainage models and monitoring data, the problem of rapid location and adjustment in existing technologies has been solved. This enables rapid and precise monitoring of drainage networks, reducing costs and improving efficiency.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING SYS SCIENCE & TECHNOLOGY CO LTD
- Filing Date
- 2024-01-17
- Publication Date
- 2026-05-05
AI Technical Summary
Existing drainage network monitoring systems cannot quickly locate problematic networks and cannot automatically adjust detection methods based on network characteristics, resulting in time-consuming and labor-intensive processes.
The monitoring system, which adopts a zoned deployment approach, includes a monitoring point deployment module, a monitoring module, a data acquisition module, a data processing module, a data analysis module, a plotting module, and a comparative analysis module. By deploying monitoring points and methods in stages and automatically adjusting them in conjunction with drainage models and monitoring data, it achieves rapid positioning and precise monitoring.
It enables rapid and precise location and monitoring of pipeline network problems, reducing monitoring costs and improving monitoring efficiency and accuracy.
Smart Images
Figure CN117869798B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of drainage pipe network monitoring system technology, and specifically to a drainage pipe network monitoring system with zoned monitoring points. Background Technology
[0002] Under normal circumstances, the main inflow into a drainage pipe network system is rainwater or sewage, primarily domestic and industrial wastewater. However, due to common problems such as inflow and seepage in the pipe network, the actual water flow in the network usually includes rainwater, groundwater, and domestic and industrial wastewater. This wastewater is transported through the pipe network to sewage treatment plants for treatment and then discharged into rivers and lakes after meeting standards. Similarly, due to pipe network problems, sewage and rainwater can also directly enter rivers and lakes through overflow, seepage, and surface runoff, causing a series of problems.
[0003] Chinese Patent No. CN111720743A discloses a drainage pipe network operation monitoring system, including a monitoring system and a monitoring center, which are connected. The monitoring system includes a data acquisition system, a data processing system, a data transmission system, a data storage system, a data analysis system, and an expandable system. The data acquisition system is used to collect data within the pipe network. The data processing system is used to process the signal data collected by each acquisition module and convert it into digital signals to obtain actual data. The data transmission system is used to send the obtained business data to the monitoring platform through the network. The data storage system is used to calibrate and store the various transmitted data.
[0004] However, existing drainage network monitoring systems require each network to be individually assessed for problems, making it difficult to quickly locate problematic networks. Furthermore, they cannot automatically adjust the detection methods based on the characteristics of each network, necessitating manual analysis of each network, which is time-consuming and labor-intensive. Summary of the Invention
[0005] The purpose of this invention is to provide a drainage network monitoring system with zoned distribution points to solve the technical problems mentioned above.
[0006] The objective of this invention can be achieved through the following technical solutions:
[0007] A zoned drainage network monitoring system includes:
[0008] A monitoring point deployment module is used to rationally deploy monitoring points according to the actual situation of the area.
[0009] The monitoring module is used to periodically adopt corresponding monitoring methods according to different monitoring points to obtain monitoring data.
[0010] The data acquisition module is used to collect basic sewage discharge data and to obtain the number of times the target pipeline network is identified as having problems within a target time period.
[0011] The data processing module is used to receive monitoring data and basic sewage discharge data, process them, and calculate the regional sewage discharge volume; it is also used to calculate the target pipeline parameters.
[0012] The data analysis module is used to analyze the processed data; it is also used to perform data analysis on the target pipeline parameters and the first and second thresholds of the pipeline parameters, and to adjust the monitoring method of the target pipeline.
[0013] If the target pipeline parameters are less than or equal to the first threshold of the pipeline parameters, the target pipeline is determined to be a good pipeline, and the monitoring cycle of the monitoring points in the good pipeline is increased, while the number of monitoring times in the target time period is reduced.
[0014] If the first threshold of the pipeline parameters < the target pipeline parameters ≤ the second threshold of the pipeline parameters, then the target pipeline is determined to be a general pipeline, and the existing monitoring points and monitoring cycle of the general pipeline remain unchanged.
[0015] If the second threshold of the pipeline parameters is less than the target pipeline parameters, the target pipeline is determined to be a poor pipeline, and the number of monitoring points in the poor pipeline is increased, the monitoring cycle of the monitoring points in the poor pipeline is reduced, and the number of monitoring times in the target time period is increased.
[0016] The drawing module is used to generate a monitoring layout map based on the layout of monitoring points; it is also used to draw a pipeline parameter fluctuation map based on the target pipeline parameters for multiple target time periods, and to draw an adjusted pipeline parameter fluctuation map based on the adjusted target pipeline parameters for multiple target time periods after the monitoring method of the target pipeline is adjusted.
[0017] The comparative analysis module is used to compare and analyze the fluctuation values in the pipeline parameter fluctuation diagram and the adjusted pipeline parameter fluctuation diagram, thereby verifying whether the adjustment of the target pipeline monitoring method is an optimized solution.
[0018] As a further aspect of the present invention: the method for deploying monitoring points is as follows:
[0019] A1: When coordinating the deployment of monitoring points, a phased and progressively denser approach is adopted. First, monitoring points at the overall monitoring level are deployed, followed by monitoring points at the zoned monitoring level and the fine-grained monitoring level.
[0020] A2: Based on the drainage model of the monitoring area, set up monitoring points at locations where the monitoring indicators identified by the model may change significantly.
[0021] As a further aspect of the present invention, the specific monitoring method is as follows:
[0022] B1: Fixed monitoring points should be used for the overall monitoring level;
[0023] B2: For monitoring points at the zoned monitoring level, fixed monitoring or rotating monitoring should be used.
[0024] B3: For monitoring points at the fine monitoring level, rotational or temporary monitoring should be adopted.
[0025] As a further aspect of the present invention: the monitoring data includes: the actual drainage volume Q during the regional dry season. 旱n Actual drainage volume Q during the rainy season in the region 雨n , where n represents different monitoring points, taking values of 1, 2, 3...n.
[0026] As a further aspect of the present invention: the basic sewage discharge data includes: the amount of domestic sewage from permanent residents Q1, the amount of domestic sewage and bathing sewage from industrial enterprises Q2, and the amount of industrial wastewater discharged into the urban pipe network Q3, and is expressed by the formula: Q 总 =Q1+Q2+Q3, calculate the regional sewage discharge Q 总 .
[0027] As a further aspect of the present invention, the specific calculation steps for the target pipeline parameters are as follows:
[0028] G1: Mark the number of times the target pipeline network is found to have problems within the target time period as F. e Where e represents different pipe networks, taking the values 1, 2, 3...e;
[0029] The target period includes several monitoring cycles;
[0030] F e To accumulate values, if a problem is determined to exist in the target pipeline network within the target time period, then F... e The summation is performed, and the result is F. e +1, then relabel the accumulated result as F. e , sequentially for F e Accumulate;
[0031] G2: Mark the number of times the target pipeline network is found to have problems within the target time period as F. e The total difference in the target pipeline network H 总 Data processing is performed using the following formula: Calculate and obtain the target pipeline network parameter K e Where m1, m2, and m3 are all scaling factor parameters, and all are greater than 0.
[0032] As a further aspect of the present invention, the specific calculation steps for the total difference value are as follows:
[0033] g1: When the target pipeline network is determined to have problems during the dry season (or without continuous rainfall) within the target period, obtain the dry season problem difference value for each monitoring point in the target pipeline network.
[0034] The actual total influent flow rate Q of the wastewater treatment plant at each monitoring point within the target pipeline network. 进 Compared with the theoretically estimated total regional pollution discharge Q 总 Perform the difference calculation separately to obtain the difference H for the dry season problem. 旱n Where n represents different monitoring points, taking values of 1, 2, 3...n;
[0035] Total difference in target pipeline dry season issues
[0036] g2: When the target pipeline network is determined to have problems during the rainy season (or continuous rainfall) within the target period, the rainy season problem difference value is obtained for each monitoring point in the target pipeline network.
[0037] The actual total influent flow rate Q of the wastewater treatment plant at each monitoring point within the target pipeline network. 进 Compared with the average total drainage Q monitored in the dry season (or areas without continuous rainfall) 总，旱 Perform the difference calculation separately to obtain the difference H for the rainy season problem. 雨n Where n represents different monitoring points, taking values of 1, 2, 3...n;
[0038] Total difference in target pipeline network during rainy season
[0039] g3: Calculate the total difference value of the target pipeline network;
[0040] Target network difference total value H 总 =H 总，旱 +H 总，雨 .
[0041] As a further aspect of the present invention: the target pipeline parameter K e Data analysis was performed using the first threshold k1 and the second threshold k2 of the pipeline network parameters, and the monitoring method for the target pipeline network was adjusted accordingly.
[0042] If K e If k1 ≤ k1, the target pipeline network is determined to be a good pipeline network, and the monitoring cycle of the monitoring points in the good pipeline network is increased, while the number of monitoring times in the target time period is reduced.
[0043] If k1 < K e If k2 ≤ k2, the target pipeline is determined to be a general pipeline, and the existing monitoring points and monitoring cycle of the general pipeline remain unchanged.
[0044] If k2 < K eIf the target pipeline is determined to be a poor pipeline, the number of monitoring points in the poor pipeline will be increased, the monitoring cycle of the monitoring points in the poor pipeline will be reduced, and the number of monitoring times in the target time period will be increased.
[0045] As a further aspect of the present invention, the specific steps for comparative analysis of the pipeline parameter fluctuation diagram and the adjusted pipeline parameter fluctuation diagram are as follows:
[0046] Q1: What are the target pipeline parameters K in the pipeline parameter fluctuation diagram? e Connect the lines to form a broken line, and then analyze the target pipeline parameters K in the pipeline parameter fluctuation diagram. e Plot the fitted straight line, calculate the shaded area enclosed by the broken line and the fitted straight line in the pipeline parameter fluctuation diagram, and mark the shaded area as R;
[0047] Q2: Adjust the target pipeline parameter K in the pipeline parameter fluctuation diagram. e调 Connect the lines to form a broken line, and then analyze the target pipeline parameters K in the adjusted pipeline parameter fluctuation diagram. e调 Plot the fitted straight line, calculate the shaded area enclosed by the broken line and the fitted straight line in the adjusted pipeline parameter fluctuation graph, and label the shaded area as R. 调 ;
[0048] Q3: Rearrange R and R 调 A comparative analysis was conducted to verify whether the adjustment of the target pipeline network monitoring method was an optimized solution. The specific comparative analysis method was as follows:
[0049] If R≤R 调 If the previous monitoring method for the target pipeline network was more stable, the resulting parameters of the target pipeline network would more accurately reflect the situation of the target pipeline network. The monitoring method for the target pipeline network should be reverted to the previous method, and the manager should be notified so that the manager can conduct a targeted analysis of the monitoring method for the target pipeline network.
[0050] If R > R 调 If the result is positive, it indicates that the monitoring method for the target pipeline network is more stable after adjustment, and the obtained target pipeline network parameters can more accurately reflect the condition of the target pipeline network. In other words, the monitoring method for the target pipeline network after adjustment should be maintained.
[0051] The beneficial effects of this invention are:
[0052] (1) This invention monitors the entire process of sewage discharge, including the source, branch nodes, main nodes, control nodes and the final sewage treatment plant, and traces the source based on the monitoring and test data. It realizes a comprehensive and integrated monitoring system that is real-time online, adaptable to local conditions, hierarchical, functional, traceable and supervised, so as to locate the pipe network with problems in a comprehensive and rapid manner.
[0053] (2) This invention monitors the problem pipeline network, groups the target pipeline network, adjusts the monitoring method for different groups, and verifies the adjusted monitoring method. This enables different monitoring methods to be used for different pipeline networks, reducing monitoring costs and making the monitoring of the pipeline network more precise. Attached Figure Description
[0054] The invention will now be further described with reference to the accompanying drawings.
[0055] Figure 1 This is a schematic diagram of the system of the present invention;
[0056] Figure 2 This is the monitoring layout diagram in this invention;
[0057] Figure 3 This is a diagram showing the fluctuation of pipeline parameters in this invention;
[0058] Figure 4 This is a diagram showing the fluctuation of pipeline parameters after adjustment in this invention. Detailed Implementation
[0059] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. 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.
[0060] Example 1:
[0061] Please see Figure 1 , 2 As shown, the present invention is a zoned drainage network monitoring system, comprising:
[0062] The monitoring point deployment module is used to rationally deploy monitoring points according to the actual situation of the area. The specific deployment method is as follows:
[0063] A1: When coordinating the deployment of monitoring points, a phased and progressively denser approach is adopted. First, monitoring points at the overall monitoring level are deployed, followed by monitoring points at the zoned monitoring level and the fine-grained monitoring level.
[0064] The monitoring points for the overall monitoring level include: all combined sewer outlets and rainwater outlets with a diameter of not less than DN800, with no less than one monitoring point for every 20km of drainage pipe length;
[0065] The monitoring points for the zoned monitoring level include: all combined sewer outlets, rainwater outlets with a diameter of not less than DN600, and at least one monitoring point for every 10km of drainage pipeline;
[0066] The monitoring points for the fine monitoring level include: all combined sewer systems and stormwater outlets, with no less than one monitoring point for every 5km of drainage pipe length, and key drainage household inlets and stormwater inlets;
[0067] A2: Based on the drainage model of the monitoring area, monitoring points are set up at locations where the monitoring indicators identified by the model may change significantly. The data used by the model includes: the service area, topology and historical data of the drainage network.
[0068] A3: After the monitoring points are set up, send the specific points to the drawing module;
[0069] It needs to be explained in detail that:
[0070] a1: The layout of monitoring points should be carried out in the following order: flood-prone areas, outfalls, pumping stations and other key nodes of the pipeline network, and drainage users;
[0071] a2: The service area of the monitoring points should be clearly defined;
[0072] a3: Monitoring sites should have the necessary conditions for installation and maintenance;
[0073] a4: On-site inspections should be conducted for the selected monitoring points, and adjustments should be made to monitoring points that do not meet the implementation conditions;
[0074] The drawing module is used to generate a monitoring layout diagram based on the distribution of monitoring points. The layout diagram indicates information about different types of equipment and specifies the coordinates of the monitoring points, such as... Figure 2 The specific drawing method is as follows:
[0075] Starting from the nearest municipal sewage pipe network before the inlet of the municipal sewage treatment plant, the sewage pipe network is traced upstream by reverse flow.
[0076] Based on the pipeline network, the diagnostic drainage zones are divided into several diagnostic drainage zones with similar areas or pipeline lengths, such as Zone 1, Zone 2, and Zone N in the figure. Each diagnostic drainage zone has an end monitoring point that represents the drainage status of the entire zone, such as monitoring points 1#, 2#, and N# in the figure.
[0077] Starting from the main manager, control nodes are set up level by level towards the branch managers. Depending on the actual situation, they are set as level two, level three, level four up to level P. In the figure, level three is used as an example. 1-1 is the level two control area node, and 1-1-1 is the level three control area node.
[0078] The monitoring module is used to periodically acquire monitoring data by adopting corresponding monitoring methods according to different monitoring points, and then send the monitoring data to the data processing module.
[0079] The monitoring data includes: actual drainage volume during the dry season and actual drainage volume during the rainy season in the region.
[0080] The actual drainage volume obtained during the dry season in the region is marked as Q. 旱n The actual drainage volume during the rainy season in the region is marked as Q. 雨n Where n represents different monitoring points, taking values of 1, 2, 3...n;
[0081] The specific monitoring methods are as follows:
[0082] B1: Fixed monitoring points should be used for the overall monitoring level;
[0083] B2: For monitoring points at the zoned monitoring level, fixed monitoring or rotating monitoring should be used.
[0084] B3: For monitoring points at the fine-grained monitoring level, rotating or temporary monitoring should be used;
[0085] It needs to be explained in detail that:
[0086] b1: Combined sewer overflow outlets, pumping stations, and main pipeline nodes should be monitored using a fixed monitoring method, while rainwater outlets, secondary pipeline nodes, and drainage household connection wells can be monitored periodically using a rotating monitoring method.
[0087] b2: Video monitoring points should be set up at locations prone to anomalies. These locations include, but are not limited to: flood-prone areas, combined sewer overflow outlets, and stormwater outlets.
[0088] b3: The duration of temporary monitoring should be 1-8 weeks, and the interval between rotating monitoring methods should be 4-16 weeks;
[0089] b4: To obtain background data for the dry season in the region, each selected monitoring point should be monitored for at least 7 days (mainly for flow); to obtain background data for the rainy season in the region, each selected monitoring point should be monitored for at least 2 months of long-term temporary monitoring, and at least 6 rainfall change curves should be obtained.
[0090] The data acquisition module is used to collect basic sewage discharge data and send the basic sewage discharge data to the data processing module;
[0091] The basic sewage discharge data includes: the amount of domestic sewage from permanent residents (Q1), the amount of domestic sewage and bathing sewage from industrial enterprises (Q2), and the amount of industrial wastewater discharged into the urban pipe network (Q3).
[0092] The data processing module receives and processes monitoring data and basic sewage discharge data to calculate the regional sewage discharge volume. After processing, the data is sent to the data analysis module. The specific processing method is as follows:
[0093] The received monitoring data and basic sewage discharge data are preliminarily processed to remove abnormal data, thereby ensuring the accuracy of the data;
[0094] Through the formula: Q 总 =Q1+Q2+Q3, calculate the regional sewage discharge Q 总 ;
[0095] The data analysis module is used to analyze the processed data. Starting from the primary control node, it uses a step-by-step reverse-engineering method to trace the source of the sewage pipe network in the following steps:
[0096] S1: During the dry season (or when there is no continuous rainfall);
[0097] SS 11 Determine the actual total influent flow rate Q of the wastewater treatment plant. 进 Compared with the theoretically estimated total regional pollution discharge Q 总 Is the water volume appropriate?
[0098] If the match is found, the sewage collection in the upstream pipeline network is determined to be normal.
[0099] If there is a mismatch, it is determined that there is a problem with the pipeline network;
[0100] SS 12 For each of the first-level area control nodes (1#, 2#, 3#...N#), the total regional flow rate is compared with the theoretical regional sewage discharge rate to identify the problematic zones.
[0101] SS 13 Continue to diagnose the control nodes of the secondary, tertiary...P-level areas in the problem zone in the same way until the location of the problem pipeline is determined;
[0102] S2: During the rainy season (or continuous rainfall);
[0103] SS 21 Determine the actual total influent flow rate Q of the wastewater treatment plant. 进 Compared with the average total drainage Q monitored in the dry season (or areas without continuous rainfall) 总，旱 Does it match?
[0104] If they match, it is determined that the sewage collection situation in the front-end pipe network is basically normal;
[0105] If there is a mismatch, it is determined that there is a problem with the pipeline network;
[0106] SS 22 For each of the first-level area control nodes (1#, 2#, 3#...N#), the total regional flow rate is compared with the theoretical regional sewage discharge rate to identify the problematic zones.
[0107] SS 23Continue to diagnose the control nodes of the secondary, tertiary...P-level areas in the problem zone in the same way until the location of the problem pipeline is determined;
[0108] Example 2:
[0109] Based on Example 1, please refer to Figure 3 , Figure 4 As shown, the present invention is a drainage pipe network monitoring system with zoned deployment points, and further includes:
[0110] The data acquisition module is also used to obtain the number of times the target pipeline network is identified as having problems within the target time period, and to mark the number of times the target pipeline network is identified as having problems within the target time period as F. e Where e represents different pipe networks, taking the values 1, 2, 3...e;
[0111] The target time period includes several monitoring cycles, such as: cycle 1, cycle 2, ... cycle i;
[0112] F e To accumulate values, if a problem is determined to exist in the target pipeline network within the target time period, then F... e The summation is performed, and the result is F. e +1, then relabel the accumulated result as F. e , sequentially for F e Accumulate;
[0113] The data processing module is also used to calculate and obtain the target pipeline parameters. The specific calculation steps are as follows:
[0114] G1: When the target pipeline network is determined to have problems during the dry season (or without continuous rainfall) within the target period, obtain the dry season problem difference value for each monitoring point in the target pipeline network.
[0115] The actual total influent flow rate Q of the wastewater treatment plant at each monitoring point within the target pipeline network. 进 Compared with the theoretically estimated total regional pollution discharge Q 总 Perform the difference calculation separately to obtain the difference H for the dry season problem. 旱n Where n represents different monitoring points, taking values of 1, 2, 3...n;
[0116] Total difference in target pipeline dry season issues
[0117] G2: When the target pipeline network is determined to have problems during the rainy season (or continuous rainfall) within the target period, the rainy season problem difference value is obtained for each monitoring point in the target pipeline network.
[0118] The actual total influent flow rate Q of the wastewater treatment plant at each monitoring point within the target pipeline network. 进 Compared with the average total drainage Q monitored in the dry season (or areas without continuous rainfall)总，旱 Perform the difference calculation separately to obtain the difference H for the rainy season problem. 雨n Where n represents different monitoring points, taking values of 1, 2, 3...n;
[0119] Total difference in target pipeline network during rainy season
[0120] G3: Calculate the total difference of the target pipeline network;
[0121] Target network difference total value H 总 =H 总，旱 +H 总，雨 ;
[0122] G4: Calculate the target pipeline parameters;
[0123] The number of times F is identified as having problems in the target pipeline network within the target time period. e The total difference in the target pipeline network H 总 Data processing is performed using the following formula: Calculate and obtain the target pipeline network parameter K e Where m1, m2, and m3 are all scaling factor parameters, and all are greater than 0;
[0124] The data analysis module is also used to analyze the target pipeline network parameters K. e Data analysis was performed using the first threshold k1 and the second threshold k2 of the pipeline network parameters, and the monitoring method for the target pipeline network was adjusted accordingly.
[0125] If K e If k1 is less than or equal to k1, the target pipeline network is determined to be a good pipeline network, and the monitoring cycle of the monitoring points in the good pipeline network is increased, the number of monitoring times in the target time period is reduced, and the monitoring cost is reduced.
[0126] If k1 < K e If k2 ≤ k2, the target pipeline is determined to be a general pipeline, and the existing monitoring points and monitoring cycle of the general pipeline remain unchanged.
[0127] If k2 < K e If the target pipeline is determined to be a poor pipeline, the number of monitoring points in the poor pipeline will be increased, the monitoring cycle of the monitoring points in the poor pipeline will be reduced, and the number of monitoring times in the target time period will be increased, so as to conduct more detailed monitoring of the poor pipeline.
[0128] The drawing module is also used to calculate the target pipeline parameters K based on multiple target time periods. e After plotting the pipeline network parameter fluctuation diagram and adjusting the monitoring method of the target pipeline network, the target pipeline network parameters K for multiple target time periods are analyzed. e调 Draw a diagram showing the fluctuation of pipeline parameters after adjustment;
[0129] The comparative analysis module is used to compare and analyze the fluctuation diagrams of pipeline parameters with those of the adjusted pipeline parameters, thereby verifying whether the adjustment of the target pipeline monitoring method is an optimized solution. The specific steps of the comparative analysis are as follows:
[0130] Q1: What are the target pipeline parameters K in the pipeline parameter fluctuation diagram? e Connect the lines to form a broken line, and then analyze the target pipeline parameters K in the pipeline parameter fluctuation diagram. e Plot the fitted straight line, calculate the shaded area enclosed by the broken line and the fitted straight line in the pipeline parameter fluctuation diagram, and label the shaded area as R, such as... Figure 3 ;
[0131] Q2: Adjust the target pipeline parameter K in the pipeline parameter fluctuation diagram. e调 Connect the lines to form a broken line, and then analyze the target pipeline parameters K in the adjusted pipeline parameter fluctuation diagram. e调 Plot the fitted straight line, calculate the shaded area enclosed by the broken line and the fitted straight line in the adjusted pipeline parameter fluctuation graph, and label the shaded area as R. 调 ,like Figure 4 ;
[0132] Q3: Rearrange R and R 调 A comparative analysis was conducted to verify whether the adjustment of the target pipeline network monitoring method was an optimized solution. The specific comparative analysis method was as follows:
[0133] If R≤R 调 If the previous monitoring method for the target pipeline network was more stable, the resulting parameters of the target pipeline network would more accurately reflect the situation of the target pipeline network. The monitoring method for the target pipeline network should be reverted to the previous method, and the manager should be notified so that the manager can conduct a targeted analysis of the monitoring method for the target pipeline network.
[0134] If R > R 调 If the target pipeline monitoring method is more stable after adjustment, the obtained target pipeline parameters can more accurately reflect the situation of the target pipeline, that is, the target pipeline monitoring method after adjustment should be maintained.
[0135] It should be noted that the shaded area enclosed by the broken line and the fitted straight line in the figure reflects the stability of the monitoring method; the smaller the shaded area, the more stable the monitoring method.
[0136] The foregoing has provided a detailed description of one embodiment of the present invention, but this description is merely a preferred embodiment and should not be construed as limiting the scope of the invention. All equivalent variations and modifications made within the scope of the claims of this invention should still fall within the patent coverage of this invention.
Claims
1. A zoned drainage network monitoring system, characterized in that, include: A monitoring point deployment module is used to rationally deploy monitoring points according to the actual situation of the area. The monitoring module is used to periodically adopt corresponding monitoring methods according to different monitoring points to obtain monitoring data. The data acquisition module is used to collect basic sewage discharge data; It is also used to obtain the number of times the target pipeline network is identified as having problems within the target time period; The data processing module is used to receive monitoring data and basic sewage discharge data, process them, and calculate the regional sewage discharge volume; it is also used to calculate the target pipeline parameters. The data analysis module is used to analyze the processed data; it is also used to perform data analysis on the target pipeline parameters and the first and second thresholds of the pipeline parameters, and to adjust the monitoring method of the target pipeline. If the target pipeline parameters are less than or equal to the first threshold of the pipeline parameters, the target pipeline is determined to be a good pipeline, and the monitoring cycle of the monitoring points in the good pipeline is increased, while the number of monitoring times in the target time period is reduced. If the first threshold of the pipeline parameters < the target pipeline parameters ≤ the second threshold of the pipeline parameters, then the target pipeline is determined to be a general pipeline, and the existing monitoring points and monitoring cycle of the general pipeline remain unchanged. If the second threshold of the pipeline parameters is less than the target pipeline parameters, the target pipeline is determined to be a poor pipeline, and the number of monitoring points in the poor pipeline is increased, the monitoring cycle of the monitoring points in the poor pipeline is reduced, and the number of monitoring times in the target time period is increased. The drawing module is used to generate a monitoring layout map based on the layout of monitoring points; it is also used to draw a pipeline parameter fluctuation map based on the target pipeline parameters for multiple target time periods, and to draw an adjusted pipeline parameter fluctuation map based on the adjusted target pipeline parameters for multiple target time periods after the monitoring method of the target pipeline is adjusted. The comparative analysis module is used to compare and analyze the fluctuation values in the pipeline parameter fluctuation diagram and the adjusted pipeline parameter fluctuation diagram, thereby verifying whether the adjustment of the target pipeline monitoring method is an optimized solution.
2. The drainage pipe network monitoring system with zoned distribution points according to claim 1, characterized in that, The method for setting up monitoring points is as follows: A1: When coordinating the deployment of monitoring points, a phased and progressively denser approach is adopted. First, monitoring points at the overall monitoring level are deployed, followed by monitoring points at the zoned monitoring level and the fine-grained monitoring level. A2: Based on the drainage model of the monitoring area, set up monitoring points at locations where the monitoring indicators identified by the model may change significantly.
3. The drainage pipe network monitoring system with zoned distribution points according to claim 1, characterized in that, The specific monitoring methods are as follows: B1: Fixed monitoring points should be used for the overall monitoring level; B2: For monitoring points at the zoned monitoring level, fixed monitoring or rotating monitoring should be used. B3: For monitoring points at the fine monitoring level, rotational or temporary monitoring should be adopted.
4. The drainage pipe network monitoring system with zoned distribution points according to claim 3, characterized in that, The monitoring data includes: actual drainage volume during the regional dry season. Actual drainage volume during the rainy season in the region , where n represents different monitoring points, taking values of 1, 2, 3...n.
5. A drainage pipe network monitoring system with zoned distribution points according to claim 4, characterized in that, The basic sewage discharge data includes: the amount of domestic sewage from the resident population. The amount of domestic sewage and bathing sewage from industrial enterprises and the amount of industrial wastewater discharged into the city's pipe network And through the formula: = + + Calculate the regional sewage discharge volume .
6. A drainage pipe network monitoring system with zoned distribution points according to claim 5, characterized in that, The specific calculation steps for the target pipeline parameters are as follows: G1: Mark the number of times the target pipeline network is found to have problems within the target time period. Where e represents different pipe networks, taking the values 1, 2, 3...e; The target period includes several monitoring cycles; To accumulate values, if a problem is determined to exist in the target pipeline network within the target time period, then... The summation is performed, and the result is: +1, then re-mark the accumulated result as , in turn Accumulate; G2: Mark the number of times the target pipeline network is found to have problems within the target time period. Total difference of target pipeline Data processing is performed using the following formula: Calculate and obtain the target pipeline parameters ,in , , All of them are scaling factor parameters, and all are greater than 0; The specific steps for calculating the total difference are as follows: g1: When a problem is identified in the target pipeline network during the dry season within the target time period, the difference in dry season problem value is obtained for each monitoring point in the target pipeline network. The actual total influent flow rate of the wastewater treatment plant at each monitoring point within the target pipeline network. Compared with the theoretically estimated total regional pollution discharge Perform the difference calculations separately to obtain the difference for the dry season problem. Where n represents different monitoring points, taking values of 1, 2, 3...n; Total difference in target pipeline dry season issues ; g2: When the target pipeline network is determined to have problems during the rainy season within the target time period, obtain the rainy season problem difference value for each monitoring point in the target pipeline network. The actual total influent flow rate of the wastewater treatment plant at each monitoring point within the target pipeline network. Average total drainage volume monitored in the dry season area Perform the difference calculation separately to obtain the difference for the rainy season problem. Where n represents different monitoring points, taking values of 1, 2, 3...n; Total difference in target pipeline network during rainy season ; g3: Calculate the total difference value of the target pipeline network; Total difference of target pipeline + .
7. A drainage pipe network monitoring system with zoned distribution points according to claim 6, characterized in that, Target pipeline parameters Data analysis was performed using the first threshold k1 and the second threshold k2 of the pipeline network parameters, and the monitoring method for the target pipeline network was adjusted accordingly. like If k1 ≤ k1, the target pipeline network is determined to be a good pipeline network, and the monitoring cycle of the monitoring points in the good pipeline network is increased, while the number of monitoring times in the target time period is reduced. If k1 < If k2 ≤ k2, the target pipeline network is determined to be a general pipeline network, and the existing monitoring points and monitoring cycle of the general pipeline network remain unchanged. If k2 < If the target pipeline is determined to be a poor pipeline, the number of monitoring points in the poor pipeline will be increased, the monitoring cycle of the monitoring points in the poor pipeline will be reduced, and the number of monitoring times in the target time period will be increased.
8. A drainage pipe network monitoring system with zoned distribution points according to claim 7, characterized in that, The specific steps for comparing and analyzing the pipeline parameter fluctuation diagram and the adjusted pipeline parameter fluctuation diagram are as follows: Q1: What are the target pipeline parameters in the pipeline parameter fluctuation diagram? Connect the lines to form a broken line, and then analyze the target pipeline parameters in the pipeline parameter fluctuation diagram. Plot the fitted straight line, calculate the shaded area enclosed by the broken line and the fitted straight line in the pipeline parameter fluctuation diagram, and mark the shaded area as R; Q2: Adjust the target pipeline parameters in the pipeline parameter fluctuation diagram. Connect the lines to form a broken line, and then analyze the target pipeline parameters in the adjusted pipeline parameter fluctuation chart. Plot the fitted straight line, calculate the shaded area enclosed by the broken line and the fitted straight line in the adjusted pipeline parameter fluctuation graph, and mark the shaded area as... ; Q3: Combine R and A comparative analysis was conducted to verify whether the adjustment of the target pipeline network monitoring method was an optimized solution. The specific comparative analysis method was as follows: If R≤ If the previous monitoring method for the target pipeline network was more stable, the resulting parameters of the target pipeline network would more accurately reflect the situation of the target pipeline network. The monitoring method for the target pipeline network should be reverted to the previous method, and the manager should be notified so that the manager can conduct a targeted analysis of the monitoring method for the target pipeline network. If R> If the result is positive, it indicates that the monitoring method for the target pipeline network is more stable after adjustment, and the obtained target pipeline network parameters can more accurately reflect the condition of the target pipeline network. In other words, the monitoring method for the target pipeline network after adjustment should be maintained.
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