CN116718160A - Method for rapidly diagnosing height of sedimentary deposit based on drainage pipeline monitoring data - Google Patents
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Abstract
The invention discloses a method for rapidly diagnosing the height of a sedimentary floor based on drainage pipeline monitoring data, which belongs to the field of intelligent detection of urban drainage systems, and is based on a drainage pipeline model applied by typical design.
Description
Technical Field
The invention relates to the technical field of intelligent detection of urban drainage systems, in particular to a method for rapidly diagnosing the height of a sedimentary deposit based on drainage pipeline monitoring data.
Background
The drainage system is an important infrastructure of a city and plays a role in collecting and conveying rainwater, urban domestic sewage and industrial wastewater. In recent years, the problem of drainage pipeline siltation is increasingly prominent, on one hand, the overflow capacity of the pipeline is seriously affected, so that a pipe network is blocked and urban floods are caused, and on the other hand, in the case of heavy rain, sediment in the pipe is carried with a large amount of pollutants to be flushed and resuspended to be sent to a inland, so that river water environment is polluted. Pipe network fouling is not a one-shot process, and a deposit layer is formed by continuously depositing and suspending deposits for a long time. The primary task is to identify the fouling of the pipes, to solve the problem of fouling of the drain pipe network.
The current technical means for diagnosing the sedimentation of the drainage pipeline are not mature enough, and thorough investigation on water level flow data of the sedimentation drainage pipeline is still lacking, so that the cost for later management of the sedimentation problem of the drainage pipeline is high. With the development of modern intelligent monitoring technology, the operation of urban drainage pipe networks can be monitored in real time to obtain liquid level data of a large number of different monitoring positions, and the liquid level data are analyzed by applying a hydraulic principle and a data processing technology, so that the situation in the drainage pipelines is deeply examined. The invention aims to provide a method for rapidly diagnosing the height of a sedimentary deposit based on drainage pipeline monitoring data, which is characterized in that liquid level meters are arranged in an inspection well and a pipeline, liquid level data are collected for a long time, and the height of the sedimentary deposit is rapidly diagnosed by utilizing a hydraulic principle and a scatter diagram analysis tool, so that the operation and management cost of the drainage pipeline is reduced, and the operation efficiency is improved.
Disclosure of Invention
The invention aims to provide a method for rapidly diagnosing the height of a sedimentary deposit based on drainage pipeline monitoring data, which is provided with the advantages that the operation management cost of a drainage pipeline is reduced and the operation efficiency is improved by arranging liquid level sensors in an inspection well and a pipeline and collecting liquid level data for a long time and utilizing a hydraulic principle and a scatter diagram analysis tool to rapidly diagnose the height of the sedimentary deposit, so that the problems that the existing technical means for diagnosing the sedimentation of the drainage pipeline are not mature enough, the thorough investigation of the water level flow data of the sedimentation drainage pipeline is still lacking, and the cost for later-period management of the sedimentation and blockage of the drainage pipeline is high are solved.
In order to achieve the above purpose, the present invention provides the following technical solutions: a method for rapid diagnosis of sediment layer height based on drainage pipeline monitoring data, comprising the steps of:
s1: setting a drainage pipeline model to be diagnosed;
s2: arranging a liquid level sensor in the drainage pipeline model;
s3: measuring the liquid level of the upstream and downstream inspection wells and the liquid level of the inlet and outlet of the pipeline by using a liquid level sensor;
s4: calculating a pipe flow rate using the data measured in S3;
s5: repeating the steps S3 and S4 for a plurality of times to obtain a preset number of single liquid level data sets, constructing a drainage performance chart according to the preset number of liquid level data sets, and rapidly diagnosing the height of the sedimentary deposit.
Preferably, in S1, the drainage pipeline model includes an upstream manhole, a downstream manhole, a drainage pipeline and a deposition layer, the inlet of the drainage pipeline is communicated with the upstream manhole, the outlet of the drainage pipeline is communicated with the downstream manhole, and the deposition layer is laid on the whole pipe at the bottom of the drainage pipeline.
Preferably, the number of the liquid level sensor arrangements in the step S2 is four, wherein two liquid level sensors are respectively an upstream inspection well liquid level sensor and a downstream inspection well liquid level sensor, and the other two liquid level sensors are respectively a pipeline inlet liquid level sensor and a pipeline outlet liquid level sensor;
the upstream manhole level sensor is arranged at a bottom-hole midpoint of the upstream manhole, the downstream manhole level sensor is arranged at a bottom-hole midpoint of the downstream manhole, the pipe inlet level sensor is arranged at the pipe inlet inner side and the pipe outlet level sensor is arranged at the pipe outlet inner side.
Preferably, the measuring process in S3 is specifically that when the water flow passes through the drainage pipeline model in S1, the water flow enters the drainage pipeline from the upstream inspection well and flows out through the downstream inspection well, and the upstream inspection well liquid level sensor and the downstream inspection well liquid level sensor in S2The device respectively measures the liquid level hu of the upstream inspection well and the liquid level h of the downstream inspection well d The pipeline inlet liquid level sensor and the pipeline outlet liquid level sensor respectively measure the liquid level y at the pipeline inlet u And the liquid level y at the outlet of the pipeline d 。
Preferably, in the step S4, according to the monitoring data obtained by the data processing terminal in the step S3 and combining the diameter, gradient and roughness of the pipeline, the flow state of the water flowing through the drainage pipeline is judged, the type of the water surface line is determined, the single liquid level data set monitored at the same time is obtained, and the pipeline flow is calculated.
Preferably, based on the level data hu, h acquired in S3 d 、y u And y d And measuring and obtaining the height difference z between the pipeline inlet and the bottom of the upstream inspection well 1 Height difference z between pipeline outlet and bottom of downstream inspection well 2 And the pipe diameter D of the drainage pipeline is obtained by comparing the liquid level yu at the inlet of the pipeline with the pipe diameter D and the liquid level y at the outlet of the pipeline d And the pipe diameter D and the liquid level y at the outlet of the comparison pipeline d Height difference z between pipeline outlet and bottom of downstream inspection well 2 Sum and downstream manhole level h d Judging the flow state of water in the drainage pipeline, and determining the type of the water surface line of the pipeline:
when y is u <D，y u >y d And y is d +z 2 >h d The water surface curve of the pipeline is a precipitation curve, which is called an M2 type curve.
When y is u <D，y u <y d And y is d +z 2 <h d The water surface curve of the pipeline is a water choking curve, which is called an M1 type curve.
When y is u <D，y u ＝y d And y is d +z 2 ＝h d The water surface curve of the pipeline is represented as a horizontal line, and is called an N-type curve.
Preferably, based on three types of linear monitoring data, the specific steps for rapid diagnosis of the deposited layer height value are as follows:
a1, based on the acquired and classified single liquid level monitoring data set (h u ，h d ，y u ，y d ) Assume a deposition layer height value h b This value is assumed based on the minimum level monitored in the drain line and is measured to obtain the difference in elevation z between the line inlet and the bottom of the upstream manhole 1 The flow value in the drainage pipeline can be calculated by the formula (1).
Wherein g is gravitational acceleration; k (K) e Taking 0.5 as a pipeline inlet loss coefficient; a is that u For the liquid level y at the pipe inlet (4) u Corresponding cross-sectional area A u ＝D 2 (cos -1 (1-2y u )-2(1-2y u )(y u (1-y u )) 0.5 ) And (4) D is the pipe diameter of the drainage pipeline (3); a is that b Thickness h of the deposit layer (6) b Corresponding cross-sectional area A b ＝D 2 (cos -1 (1-2h b )-2(1-2h b )(h b (1-h b )) 0.5 )/4；
A2, formation of a New Single data set (y u ，y d ，Q m ，h b ) And according to the diameter D, length L and gradient S of the known pipeline 0 The height h of the pipeline on the assumed deposition layer is calculated by using a drainage performance graph program obtained by Newton method through multiple trial calculation b The following comprehensive roughness n is shown in the formula;
a3, repeating the steps A1-A2 based on the other single liquid level monitoring data acquired and classified in the S3 and the S4 to obtain a pipeline upstream and downstream water level relation scatter diagram (y) u ，y d ) Simultaneously calculating n of each group of data and averaging
A4, according to the obtainedLiquid level y at pipeline outlet d Diameter D, gradient S of known pipe 0 Obtaining an upstream and downstream water level relation curve, namely a drainage performance map +.>
A5, comparing the upstream and downstream water level relation curve graph with the scatter graph, and analyzing by using a curve fitting technology to obtain a model fitting goodness R 2 ；
A6, according to the comparison graph and the fitting goodness R 2 Judging whether the assumption is satisfied, if the assumption is not satisfied, repeating the steps A1-A5 until the assumption is satisfied, and further determining the deposition layer height h b 。
Compared with the prior art, the invention has the following beneficial effects:
1. the invention is based on a plurality of monitoring data sets of the drainage pipe network, combines drainage performance map and scatter diagram analysis tools, can rapidly diagnose the height of a sediment layer, is convenient for reasonable response in later maintenance of a drainage system, and saves operation cost. In addition, by arranging the liquid level sensors in the inspection well and the pipeline, the flow state of water in the pipeline can be judged, the monitoring cost for managing the flow can be greatly reduced, and the investment cost is saved.
Drawings
FIG. 1 is a schematic view of a drain pipeline model according to the present invention;
FIG. 2 is a schematic diagram of the distribution of the liquid level sensors in the drainage pipeline model of the present invention;
FIG. 3 is a schematic view of a water surface curve according to the present invention;
FIG. 4 is a graph showing drainage performance in an embodiment of the present invention;
FIG. 5 is a graph showing the relationship between the upstream and downstream water levels and a plot of the scattered points in accordance with an embodiment of the present invention.
In the figure: 1. an upstream manhole; 2. a downstream manhole; 3. a drainage pipe; 4. a conduit inlet; 5. a conduit outlet; 6. depositing a layer; 7. an upstream manhole level sensor; 8. a downstream manhole level sensor; 9. an inlet level sensor; 10. an outlet level sensor; 11. m2-type water surface line; 12. m1 water line; 13. an N-type water surface line.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Examples
Referring to fig. 1-5, the present invention provides a technical solution: a method for rapid diagnosis of sediment layer height based on drainage pipeline monitoring data, comprising the steps of:
s1: setting a drainage pipeline model to be diagnosed;
s2: arranging a liquid level sensor in the drainage pipeline model;
s3: measuring the liquid level of the upstream and downstream inspection wells and the liquid level of the inlet and outlet of the pipeline by using a liquid level sensor;
s4: calculating a pipe flow rate using the data measured in S3;
s5: repeating the steps S3 and S4 for a plurality of times to obtain a preset number of single liquid level data sets, constructing a drainage performance map according to the preset number of liquid level data sets, and rapidly diagnosing the height of the sedimentary deposit.
The drainage pipeline model in S1 comprises an upstream inspection well 1, a downstream inspection well 2, a drainage pipeline 3 and a sedimentary deposit 6, wherein a drainage pipeline inlet 4 is communicated with the upstream inspection well 1, a drainage pipeline outlet 5 is communicated with the downstream inspection well 2, and the sedimentary deposit 6 is paved on the whole pipe at the bottom of the drainage pipeline 3.
The number of the liquid level sensor arrangements in the S2 is four, wherein two liquid level sensors are an upstream inspection well liquid level sensor 7 and a downstream inspection well liquid level sensor 8 respectively, and the other two liquid level sensors are a pipeline inlet liquid level sensor 9 and a pipeline outlet liquid level sensor 10 respectively;
an upstream manhole level sensor 7 is arranged at the very center of the bottom of the upstream manhole 1, a downstream manhole level sensor 8 is arranged at the very center of the bottom of the downstream manhole 2, a pipe inlet level sensor 9 is arranged at the inner side of the pipe inlet 4 and a pipe outlet level sensor 10 is arranged at the inner side of the pipe outlet 5.
The measurement process in S3 is specifically that when water flows through the drainage pipeline model in S1, water enters the drainage pipeline 3 from the upstream inspection well 1 and flows out through the downstream inspection well 2, and the upstream inspection well liquid level sensor 7 and the downstream inspection well liquid level sensor 8 in S2 measure the liquid level hu of the upstream inspection well 1 and the liquid level h of the downstream inspection well 2 respectively d The pipeline inlet liquid level sensor 9 and the pipeline outlet liquid level sensor 10 respectively measure the liquid level y at the pipeline inlet 4 u And the liquid level y at the pipe outlet 5 d 。
And S4, judging the flow state of water flowing through the drainage pipeline 3 according to the monitoring data obtained by the data processing terminal in S3 and combining the diameter, gradient and roughness of the pipeline when calculating the pipeline flow, determining the type of the water surface line, obtaining a single liquid level data set monitored at the same time, and calculating the pipeline flow.
Based on the acquired liquid level data hu, h in S3 d 、y u And y d And the difference z between the pipe inlet 4 and the bottom of the upstream manhole 1 is measured 1 The difference in height z between the pipe outlet 5 and the bottom of the downstream manhole 2 2 And the pipe diameter D of the drainage pipeline 3 by comparing the liquid level yu at the pipeline inlet 4 with the pipe diameter D and the liquid level y at the pipeline outlet 5 d And the pipe diameter D and the liquid level y at the outlet 5 of the comparison pipeline d Height difference z from the pipe outlet 5 and the bottom of the downstream manhole 2 2 Sum of the sum and the downstream manhole 2 level h d Judging the flow state of water in the drainage pipeline 3, and determining the type of the water surface line of the pipeline:
when y is u <D，y u >y d And y is d +z 2 >h d The pipe water surface curve is shown as a precipitation curve, which is referred to as an M2 curve 11.
When y is u <D，y u <y d And y is d +z 2 <h d Indicating that the curve of the water surface of the pipeline is chokedThe water curve, referred to as the M1 type curve 12.
When y is u <D，y u ＝y d And y is d +z 2 ＝h d The pipe water surface curve is shown as a horizontal line, referred to as an N-type curve 13.
Based on three types of linear monitoring data, the specific steps for rapidly diagnosing the height value of the deposited layer are as follows:
a1, based on the acquired and classified single liquid level monitoring data set (h u ，h d ，y u ，y d ) Assume a deposition layer height value h b This value is assumed on the basis of the minimum level monitored in the drain line 3 and is measured to obtain the difference z between the line inlet 4 and the bottom of the upstream manhole 1 1 The flow value in the drain pipe 3 can be calculated by the formula (1).
Wherein g is gravitational acceleration; k (K) e Taking 0.5 as a pipeline inlet loss coefficient; a is that u For the liquid level y at the pipe inlet 4 u Corresponding cross-sectional area A u ＝D 2 (cos -1 (1-2y u )-2(1-2y u )(y u (1-y u )) 0.5 ) And (4) D is the pipe diameter of the drainage pipeline 3; a is that b Thickness h of deposited layer 6 b Corresponding cross-sectional area A b ＝D 2 (cos -1 (1-2h b )-2(1-2h b )(h b (1-h b )) 0.5 )/4；
A2, formation of a New Single data set (y u ，y d ，Q m ，h b ) And according to the diameter D, length L and gradient S of the known pipeline 0 The height h of the pipeline on the assumed deposition layer is calculated by using a drainage performance graph program obtained by Newton method through multiple trial calculation b The following comprehensive roughness n is shown in the formula;
a3, repeating the steps A1-A2 based on the other single liquid level monitoring data acquired and classified in the S3 and the S4 to obtain a pipeline upstream and downstream water level relation scatter diagram (y) u ，y d ) Simultaneously calculating n of each group of data and averaging
A4, according to the obtainedLiquid level y at pipe outlet 5 d Diameter D, gradient S of known pipe 0 Obtaining an upstream and downstream water level relation curve, namely a drainage performance map +.>
A5, comparing the upstream and downstream water level relation curve graph with the scatter graph, and analyzing by using a curve fitting technology to obtain a model fitting goodness R 2 ；
A6, according to the comparison graph and the fitting goodness R 2 Judging whether the assumption is satisfied, if the assumption is not satisfied, repeating the steps A1-A5 until the assumption is satisfied, and further determining the deposition layer height h b 。
The physical experiment model parameters of a certain drainage pipeline are as follows: the length between the upstream monitoring point and the downstream monitoring point of the test pipeline is 6.95m, the pipe diameter is 180mm, the gradient is 0.0013, the roughness is 0.0089, the thickness of the deposited layer is 20mm, the height difference between the pipeline inlet 4 and the bottom of the upstream inspection well 1 is 0.6mm, and the height difference between the pipeline outlet 5 and the bottom of the downstream inspection well 2 is 0.87m.
The monitored liquid level data are shown in table 1:
table 1 monitors liquid level data units: m is m
| Sequence number | h u | h d | y u | y d |
| 1 | 0.72533 | 0.99200 | 0.11659 | 0.11659 |
| 2 | 0.73133 | 1.00000 | 0.12421 | 0.12609 |
| 3 | 0.71467 | 0.77000 | 0.09891 | 0.07145 |
| 4 | 0.71400 | 0.96200 | 0.09891 | 0.08542 |
| 5 | 0.71800 | 0.97500 | 0.10388 | 0.09642 |
| 6 | 0.72467 | 0.99200 | 0.11611 | 0.11578 |
| 7 | 0.74867 | 1.02400 | 0.14790 | 0.15203 |
Let the deposition layer height h b =0.02m, and the average integrated roughness was determinedThe relation curve and scatter diagram of the water level at the upstream and downstream are compared with that shown in figure 5, the model fitting goodness R 2 =0.98m, assuming true.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (7)
1. A method for rapid diagnosis of sediment layer height based on drainage pipeline monitoring data, comprising the steps of:
s1: setting a drainage pipeline model to be diagnosed;
s2: arranging a liquid level sensor in the drainage pipeline model;
s3: measuring the liquid level of the upstream and downstream inspection wells and the liquid level of the inlet and outlet of the pipeline by using a liquid level sensor;
s4: calculating a pipe flow rate using the data measured in S3;
s5: repeating the steps S3 and S4 for a plurality of times to obtain a preset number of single liquid level data sets, constructing a drainage performance chart according to the preset number of liquid level data sets, and rapidly diagnosing the height of the sedimentary deposit.
2. A method for rapid diagnosis of sediment layer height based on drainage pipe monitoring data as claimed in claim 1, wherein: the drainage pipeline model in S1 comprises an upstream inspection well (1), a downstream inspection well (2), a drainage pipeline (3) and a sedimentary layer (6), wherein the drainage pipeline inlet (4) is communicated with the upstream inspection well (1), the drainage pipeline outlet (5) is communicated with the downstream inspection well (2), and the sedimentary layer (6) is paved on the whole pipe at the bottom of the drainage pipeline (3).
3. A method for rapid diagnosis of sediment layer height based on drainage pipe monitoring data as claimed in claim 2, wherein: the number of the liquid level sensor arrangements in the step S2 is four, wherein two liquid level sensors are an upstream inspection well liquid level sensor (7) and a downstream inspection well liquid level sensor (8) respectively, and the other two liquid level sensors are a pipeline inlet liquid level sensor (9) and a pipeline outlet liquid level sensor (10) respectively;
the upstream manhole liquid level sensor (7) is arranged at the bottom-hole center of the upstream manhole (1), the downstream manhole liquid level sensor (8) is arranged at the bottom-hole center of the downstream manhole (2), the pipe inlet liquid level sensor (9) is arranged at the inner side of the pipe inlet (4) and the pipe outlet liquid level sensor (10) is arranged at the inner side of the pipe outlet (5).
4. A method for rapid diagnosis of sediment layer height based on drainage pipe monitoring data as claimed in claim 3, wherein: the measuring process in S3 is that when water flows through the drainage pipeline model in S1, water enters the drainage pipeline (3) from the upstream inspection well (1) and flows out through the downstream inspection well (2), and the upstream inspection well liquid level sensor (7) in S2 and the downstreamThe inspection well liquid level sensor (8) respectively measures the liquid level hu of the upstream inspection well (1) and the liquid level h of the downstream inspection well (2) d The pipeline inlet liquid level sensor (9) and the pipeline outlet liquid level sensor (10) respectively measure the liquid level y at the pipeline inlet (4) u And the liquid level y at the pipeline outlet (5) d 。
5. A method for rapid diagnosis of sediment layer height based on drainage pipe monitoring data as claimed in claim 1, wherein: and S4, judging the flow state of water flowing through the drainage pipeline (3) according to the monitoring data obtained by the data processing terminal in S3 and combining the diameter, gradient and roughness of the pipeline when calculating the pipeline flow, determining the type of the water surface line, obtaining a single liquid level data set monitored at the same time, and calculating the pipeline flow.
6. A method for rapid diagnosis of sediment layer height based on drainage pipe monitoring data as claimed in claim 4, wherein: based on the acquired liquid level data hu, h in S3 d 、y u And y d And measuring the difference in height z between the pipe inlet (4) and the bottom of the upstream manhole (1) 1 The height difference z between the pipeline outlet (5) and the bottom of the downstream inspection well (2) 2 And the pipe diameter D of the drainage pipeline (3) are obtained by comparing the liquid level yu at the pipeline inlet (4) with the pipe diameter D and the liquid level y at the pipeline outlet (5) d And the pipe diameter D and the liquid level y at the outlet (5) of the comparison pipeline d And the height difference z between the pipeline outlet (5) and the bottom of the downstream inspection well (2) 2 Sum of the sum and the liquid level h of the downstream inspection well (2) d Judging the flow state of water in the drainage pipeline (3), and determining the type of the water surface line of the pipeline:
when y is u <D，y u >y d And y is d +z 2 >h d The water surface curve of the pipeline is shown as a precipitation curve, and is called an M2 type curve (11).
When y is u <D，y u <y d And y is d +z 2 <h d The water surface curve of the pipeline is shown as a water choking curve, which is called an M1 type curve (12).
When y is u <D，y u ＝y d And y is d +z 2 ＝h d The water surface curve of the pipeline is represented as a horizontal line, and is called an N-type curve (13).
7. A method for rapid diagnosis of sediment layer height based on drainage pipe monitoring data as claimed in claim 6, wherein: based on three types of linear monitoring data, the specific steps for rapidly diagnosing the height value of the deposited layer are as follows:
a1, based on the acquired and classified single liquid level monitoring data set (h u ，h d ，y u ，y d ) Assume a deposition layer height value h b This value is assumed on the basis of the minimum level monitored in the drainage pipe (3) and is measured to obtain the difference in height z between the pipe inlet (4) and the bottom of the upstream manhole (1) 1 The flow value in the drainage pipeline (3) can be calculated by the formula (1).
Wherein g is gravitational acceleration; k (K) e Taking 0.5 as a pipeline inlet loss coefficient; a is that u For the liquid level y at the pipe inlet (4) u Corresponding cross-sectional area A u ＝D 2 (cos -1 (1-2y u )-2(1-2y u )(y u (1-y u )) 0.5 ) And (4) D is the pipe diameter of the drainage pipeline (3); a is that b Thickness h of the deposit layer (6) b Corresponding cross-sectional area A b ＝D 2 (cos -1 (1-2h b )-2(1-2h b )(h b (1-h b )) 0.5 )/4；
A2, formation of a New Single data set (y u ，y d ，Q m ，h b ) And according to the diameter D, length L and gradient S of the known pipeline 0 The height h of the pipeline on the assumed deposition layer is calculated by using a drainage performance graph program obtained by Newton method through multiple trial calculation b The following comprehensive roughness n is shown in the formula;
a3, repeating the steps A1-A2 based on the other single liquid level monitoring data acquired and classified in the S3 and the S4 to obtain a pipeline upstream and downstream water level relation scatter diagram (y) u ，y d ) Simultaneously calculating n of each group of data and averaging
A4, according to the obtainedLiquid level y at pipeline outlet (5) d Diameter D, gradient S of known pipe 0 Obtaining an upstream and downstream water level relation curve, namely a drainage performance map +.>
A5, comparing the upstream and downstream water level relation curve graph with the scatter graph, and analyzing by using a curve fitting technology to obtain a model fitting goodness R 2 ；
A6, according to the comparison graph and the fitting goodness R 2 Judging whether the assumption is satisfied, if the assumption is not satisfied, repeating the steps A1-A5 until the assumption is satisfied, and further determining the deposition layer height h b 。
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