CN105065917B - Urban drainage pipe network online test method - Google Patents
Urban drainage pipe network online test method Download PDFInfo
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Abstract
The invention discloses a kind of urban drainage pipe network on-line monitoring method, including：S1：The site monitoring system of the drainage pipeline networks, the pipeline level parameter and pipeline displacement parameter of each monitoring point in collection drainage pipeline networks running are set up, and is stored to warning data storehouse；S2：Pipeline location, absolute altitude, caliber, the gradient according to each monitoring point, pipeline coefficient of roughness parameter set up the static database of drainage pipeline networks, and static database are associated with warning data storehouse；S3：The drainage pipeline networks state analysis system is set up, the running status of the drainage pipeline networks is obtained；S4：The early warning system of the drainage pipeline networks is set up, real-time judge is carried out to the piping disease problem of drainage pipeline networks running according to drainage pipeline networks state and pipeline displacement state analysis result, realize real-time early warning.The present invention for urban drainage pipe network it is stable with it is safe, a whole set of monitoring method is proposed, to realize the information system management to urban drainage pipe network, for urban drainage pipe network planning construction provides foundation.
Description
Technical field
The invention belongs to municipal works areas of information technology, it is related to a kind of urban drainage pipe network online test method.
Background technology
Urban drainage pipe network system refers to collect to be constituted with the pipe duct and its affiliated facility of sewage effluent, waste water and rainwater
System.Urban drainage pipe network is urban infrastructure important component, is the material base that city is depended on for existence and development.
Improved constantly recently as Urbanization in China, the input to urban infrastructure is also being increased year by year, municipal drainage pipe
Net construction is rapidly developed, urban waterlogging, pipeline congestion, pipe settlement, sewage that at the same time urban drainage pipe network is present
The disease problem such as row is also outstanding day by day steathily, as the major issue for threatening people life property safety.
Traditional drainage pipeline networks detection method is to rely primarily on inspection personnel's naked eyes or periodically detected by a locking equipment,
Specifically have following several：
1. ocular estimate：Observation determines whether pipeline blocks with the water level in bar pipeline inspection shaft.Water quality in observation inspection shaft,
As being normal rain, sewage in the inspection shaft of upstream, and the interior outflow of downstream inspection shaft is yellow mud pulp-water, then illustrate to be worn in the middle of pipeline
Hole, it is broken or caves in.
2. periscope detection：Camera is delivered to the pipeline opening in inspection shaft using camera operation bar, by control box come
Regulation camera and illumination clearly record a video or image with being obtained.By image viewing line clogging, cave in, misplace situations such as.
3. pipeline closed-circuit television detection：Operating personnel detect the walking of car and carry out in pipeline in ground remote control CCTV
Video recording shoot, the evaluation and analysis of pipeline internal state are carried out according to these video recordings by related technical staff.
4. sonar system detection：Sonar scanning is carried out to insides of pipes, Sonar Probe quickly rotates and outside Firing Sonar
Signal, is then received by the signal of object reflection in tube wall or pipe, and the cross-sectional view of pipeline is formed after being processed through computer, so that
Judge the situation in pipeline.
It is more careful for particular segment pipe detection accurate although traditional detection method is flexible, easy, it is time-consuming to take
Power, the skill requirement for testing staff is also very high, more cannot carry out early warning to piping disease situation in time, has been not suitable with the modern times
Change the requirement of drainage pipeline networks management.
With informationization technology development in an all-round way and Internet of Things concept it is widely available, on-line monitoring technique has turned into row
Grid detection is following to obtain developing direction.What State Council in 2014 printed and distributed《The General Office of the State Council is on strengthening City Buried Pipeline
The instruction of implementation management》In clearly propose will be in underground utilities extensively using Internet of Things monitoring and accident risks early warning etc.
Advanced technology.Therefore, for urban drainage pipe network it is stable with it is safe, it is necessary to summarize propose a whole set of monitoring technology,
To realize the information system management to urban drainage pipe network, for urban drainage pipe network planning construction provides foundation.
The content of the invention
Regarding to the issue above, the present invention provides a kind of to urban drainage pipe network streamflow regime and pipeline displacement state and phase
Closing defect information carries out the urban drainage pipe network online test method of early warning.
To achieve the above object of the invention, urban drainage pipe network on-line monitoring method of the present invention, including：
S1：Set up the site monitoring system of the drainage pipeline networks；Monitoring point is set, and gathers drainage pipeline networks running
Each monitoring point pipeline level parameter h and pipeline displacement parameter σ, and store to warning data storehouse；
S2：The static database of drainage pipeline networks is set up, and static database is associated with warning data storehouse, the static number
Include pipeline geography position parameter, the pipeline absolute altitude h of each monitoring point according to storehouseg, pipe diameter D, conduit slope i, the coarse system of pipeline
Number n parameters；
S3：Set up the drainage pipeline networks state analysis system；Set up the pipeline flow of the drainage pipeline networks, pipe flow speed
Simulation model, the static database in pipeline level parameter h and step S2 in step S1, is calculated the drainpipe
The running status of net, the pipeline displacement parameter σ in step S1 obtains pipeline displacement state, and store to warning data storehouse；
The pipeline flow simulation model is：The simulation model of the pipe flow speed is：
Wherein, n is the pipeline coefficient of roughness；A is discharge section area,
R is hydraulic radius, J is hydraulic gradient；
Wherein hj、hj+1It is the adjacent two monitoring points upstream and downstream pipeline level parameter for measuring, i.e. pipeline liquid level absolute altitude, △ L are adjacent two prisons
Duct length between measuring point, j is numbered for monitoring point；
S4：The early warning system of the drainage pipeline networks is set up, disease recognition module, disease alarm threshold value module and disease are set
Processing module, with reference to drainage pipeline networks running status and the analysis result of pipeline displacement state in step S3, transports to drainage pipeline networks
The piping disease problem of row process carries out real-time judge, realizes real-time early warning and treatment.
S5：The running status of the drainage pipeline networks that will be monitored, pipeline displacement state and Disease Processing information Store are to early warning
Database.
Further, the specific method for building up of the drainage pipeline networks site monitoring system described in the step S1 includes：Lay
Parameter monitoring point, is acquired using liquid level sensor to the real-time pipeline level parameter h of important node, and important node is mainly wrapped
Include at pipeline monitor, at pipeline reducing diameter, at conduit slope change, delivery port and common sewage steal row's point；Application distribution formula optical fiber
Sensor is acquired to the pipeline displacement parameter σ of emphasis pipeline section, and is transferred to computer, and emphasis pipeline section is dry including area sewerage
Nearby drainpipe and common pipe sedimentation destroy section for pipe, construction area drainpipe, subway tunnel class critical facility.
Further, the warning data storehouse in the step S1 includes the ID of each monitoring point pipeline, the class of acquisition parameter
Type, infield, acquisition time, pipe diameter, aqueous nature attribute is used, administrative staff can carry out condition inspection to warning data storehouse
Rope.
Further, the disease recognition module in the step S4 is used to recognize the type of disease；The disease warning level
Value module is used to set alarm parameters；The Disease Processing module is used for pipeline level parameter h, the pipeline flow of drainage pipeline networks
Q, pipeline displacement parameter σ with disease alarm threshold value module set parameter compared with, according to the disease in Disease Processing module
Processing method starts corresponding actuation of an alarm, realize urban waterlogging, pipeline congestion, pipe settlement, sewage steal row's Disease Analysis and
Early warning.
The present invention has the beneficial effect that：
The present invention is monitored and pre-alarming system by setting up urban drainage pipe network, the ginseng in collection drainage pipeline networks running
Number, reaches the running status for accurately holding drainage pipeline networks, and the disease problem that pipe network is present is found in time, and provides early warning letter in time
Breath is easy to solve a problem promptly, so as to reduce the security risk of drainage pipeline networks disease, reduce disaster-stricken loss.Additionally, by pipe
The analysis of the historical data that net monitoring is obtained, it can be found that the deficiency and bottleneck of current pipe network operation design, are following pipe network section
Learn, planning that is reasonable, having evidence provides technological means.Drainage pipeline networks on-line monitoring technique greatly improves urban drainage pipe network management
Level, has application and popularization value higher in municipal drainage management industry.
Brief description of the drawings
Fig. 1 is the drainage pipeline networks monitoring method flow chart of the embodiment of the present invention 1；
Fig. 2 is the monitoring of the drainage pipeline networks of the embodiment of the present invention 1 and early warning implementing procedure figure.
Specific embodiment
Presently preferred embodiments of the present invention is elaborated with reference to Figure of description, so that the advantages and features of invention
Can be easier to be readily appreciated by one skilled in the art, apparent clearly be defined so as to be made to protection scope of the present invention.
As depicted in figs. 1 and 2, urban drainage pipe network on-line monitoring method of the present invention, including：
S1：Set up the site monitoring system of the drainage pipeline networks；Monitoring point is set, and gathers drainage pipeline networks running
Each monitoring point pipeline level parameter h and pipeline displacement parameter σ, and store to warning data storehouse；
S2：The static database of drainage pipeline networks is set up, and static database is associated with warning data storehouse, the static number
Include pipeline geography position parameter, the pipeline absolute altitude h of each monitoring point according to storehouseg, pipe diameter D, conduit slope i, the coarse system of pipeline
Number n parameters；
S3：Set up the drainage pipeline networks state analysis system；Set up the pipeline flow of the drainage pipeline networks, pipe flow speed
Simulation model, the static database in pipeline level parameter h and step S2 in step S1, is calculated the drainpipe
The running status of net, the pipeline displacement parameter σ in step S1 obtains pipeline displacement state, and store to warning data storehouse；
The pipeline flow simulation model is：The simulation model of the pipe flow speed is：
Wherein, n is the pipeline coefficient of roughness；A is discharge section area,
R is hydraulic radius, J is hydraulic gradient；
Wherein hj、hj+1It is the adjacent two monitoring points upstream and downstream pipeline level parameter for measuring, i.e. pipeline liquid level absolute altitude, △ L are adjacent two prisons
Duct length between measuring point, j is numbered for monitoring point；
S4：The early warning system of the drainage pipeline networks is set up, disease recognition module, disease alarm threshold value module and disease are set
Processing module, with reference to drainage pipeline networks running status and the analysis result of pipeline displacement state in step S3, transports to drainage pipeline networks
The piping disease problem of row process carries out real-time judge, realizes real-time early warning and treatment.
S5：The running status of the drainage pipeline networks that will be monitored, pipeline displacement state and Disease Processing information Store are to early warning
Database.
Further, the specific method for building up of the drainage pipeline networks site monitoring system described in the step S1 includes：Lay
Parameter monitoring point, is acquired using liquid level sensor to the real-time pipeline level parameter h of important node, and important node is mainly wrapped
Include at pipeline monitor, at pipeline reducing diameter, at conduit slope change, delivery port and common sewage steal row's point；Application distribution formula optical fiber
Sensor is acquired to the pipeline displacement parameter σ of emphasis pipeline section, and is transferred to computer, and emphasis pipeline section is dry including area sewerage
Nearby drainpipe and common pipe sedimentation destroy section for pipe, construction area drainpipe, subway tunnel class critical facility.
Further, the warning data storehouse in the step S1 includes the ID of each monitoring point pipeline, the class of acquisition parameter
Type, infield, acquisition time, pipe diameter, aqueous nature attribute is used, administrative staff can carry out condition inspection to warning data storehouse
Rope.
Further, the disease recognition module in the step S4 is used to recognize the type of disease；The disease warning level
Value module is used to set alarm parameters；The Disease Processing module is used for pipeline level parameter h, the pipeline flow of drainage pipeline networks
Q, pipeline displacement parameter σ with disease alarm threshold value module set parameter compared with, according to the disease in Disease Processing module
Processing method starts corresponding actuation of an alarm, realize urban waterlogging, pipeline congestion, pipe settlement, sewage steal row's Disease Analysis and
Early warning.
Embodiment 1
Certain section drainage pipeline networks includes sewage network and Storm Sewer Network, and sewage network and Storm Sewer Network are vertical pipe networks.
Rainwater segmentation is entered in the river course of section east side, and sewage confluxes enter in sewage treatment plant eastwards.There is a food and drink block in section,
Row's phenomenon is stolen in the presence of certain sewage；There are many places foundation ditch, pile foundation construction point in both sides of the road, and section of tubing sedimentation is serious；Section is several
Impeded drainage, effectiveness factors take place frequently when locating low-lying section heavy rain.
Section drainage pipeline networks is managed for more scientific and efficient, timely and effectively find to solve the related diseases of pipe network
Evil problem, decision is set up area sewerage Supervisory control and pre-alarming system, implements urban drainage pipe network on-line monitoring method.
As shown in figure 1, urban drainage pipe network on-line monitoring method, comprises the following steps：
(1) determination of site monitoring system
Consider that section pipe network is primarily present waterlogging, pipeline congestion, pipe sedimentation, sewage and steals this few class disease of row, it is right to design
Section rain sewage conduct water level is monitored, and lays parameter monitoring point, and liquid level sensor emphasis is laid at inspection shaft to draining
Low-lying place's storm sewer liquid level and food and drink block rain sewage conduct liquid level during pipe network operation are monitored, to pipe in real time
Road level parameter h is acquired, and Monitoring Data is fed back to drainage pipeline networks state analysis system by employing wireless transmission network, together
When storage to warning data storehouse；Additionally, to special construction section, along particular segment line layout distributed fiberoptic sensor to pipeline
Displacement monitoring, is acquired to pipeline displacement parameter σ, and employing wireless transmission network that Monitoring Data is fed back into drainpipe is netted
State analysis system, while warning data storehouse is arrived in storage.
(2) foundation of drainage pipeline networks state analysis system
Pipeline geography position parameter, pipeline absolute altitude h according to each monitoring pointg, pipe diameter D, conduit slope i, pipeline it is thick
Rough coefficient n parameters set up the static database of drainage pipeline networks, and static database is associated with warning data storehouse.
Set up the drainage pipeline networks state analysis system；Set up the pipeline flow Q of the drainage pipeline networks, pipe flow speed v
Simulation model, pipeline level parameter h and above-mentioned static database in step (1), is calculated the drainage pipeline networks
Running status, and store to warning data storehouse；Distribution type fiber-optic pipeline displacement monitoring technology is prior art, by collection
To pipeline displacement parameter σ carry out Treatment Analysis, obtain intuitively pipeline displacement state, and store to warning data storehouse；
The pipeline flow simulation model is：The simulation model of the flow velocity is：
Wherein, n is the pipeline coefficient of roughness；A is discharge section area,
R is hydraulic radius, J is hydraulic gradient,
Wherein hj、hj+1It is adjacent two monitoring points upstream and downstream pipeline level parameter, i.e. pipeline liquid level absolute altitude, between △ L are adjacent two monitoring point
Duct length, j is numbered for monitoring point；
(3) drainage pipeline networks disease real-time judge and early warning
Drainage pipeline networks early warning system is set up, according to drainage pipeline networks state analysis result to the pipeline of drainage pipeline networks running
Disease problem carries out real-time judge, distinguishes that pipeline congestion, waterlogging, sewage steal row's disease, according to pipeline displacement state, analysis conduit
Sedimentation phenomenon, realize real-time early warning.
The data of drainage pipeline networks state analysis system real-time collecting site monitoring system collection, one side system acquisition is simultaneously protected
Water flow liquid position parameter and piping displacement parameter, pipeline flow parameter is calculated by simulation model, and is shown in real time, the opposing party
Face, sets up warning data storehouse, administrative staff can according to the ID of pipeline, parameter type, infield, acquisition time, pipe diameter,
Conditional information retrieval is carried out to warning data storehouse with aqueous nature attribute, using disease recognition module, by contrast conduit running state with
All kinds of pipe network disease dry run states in early warning system, to identify that pipe settlement, sewage steal the phenomenons such as row, in disease recognition
Following specific disease recognition method is set in module：
1. downstream line liquid level hj+1Persistently it is more than upstream line liquid level hj, and pipe flow speed vj+1Less than vjAnd vj+2, point out
May be got congestion between pipeline j+1 monitoring points and j+2 monitoring points.
2. pipeline liquid level hjMore than alarm water level, j monitoring points are pointed out to have waterlogging risk.
Pipeline displacement σ in 3.j monitoring points is more than alarm threshold value, points out pipeline at j monitoring points to settle.
Q ＞ 0 during the non-rainfall in 4.j monitoring points, point out to there may be sewage at j monitoring points and steal row's phenomenon.
Early warning information not only includes position, the seriousness of disease, also to provide the corresponding disease for prestoring and solve opinion, because
This, the alarm threshold value of parameters is set up by disease alarm threshold value module, is estimated with to pipe network operation state；At disease
The alarm threshold value set in reason module is divided into one-level alarm threshold value, secondary alarm threshold value, three-level alarm threshold value, when pipeline liquid level ginseng
Paid close attention to, it is necessary to send prompting administrative staff when number h, pipeline flow Q, piping displacement parameter σ reach one-level alarm threshold value；When
When reaching secondary alarm threshold value, the information for reminding administrative staff to take relevant art to process should be sent；When reaching three-level warning level
During value, sending alarm warning requirements administrative staff carries out emergent management.
(4) monitoring information and Disease Processing information Store
After administrative staff solve the problems, such as the disease that pipe network is present according to the prompting of early warning system, system will can be monitored entirely
And the information Store of Disease Processing process is in the warning data storehouse of server, administrative staff can according to pipeline ID, parameter type,
Infield, acquisition time, pipe diameter, conditional information retrieval is carried out to warning data storehouse with attributes such as aqueous natures, needed for searching
Data.The analysis of the historical data by being obtained to pipe network monitoring, can obtain the not enough and spy of current pipe network operation design
The experience of Disease Processing is determined, for following pipe network science, planning management that is reasonable, having evidence provide technological means.Finally realize section
The safety and stability of drainage pipeline networks operation.It should be appreciated that embodiment described above, to the purpose of the present invention, technical scheme
Further details of explanation is carried out with beneficial effect, embodiments of the invention have been these are only, has been not used to limit this hair
Bright, every any modification, equivalent substitution and improvements within spiritual principles of the invention, made etc. should be included in this hair
Within bright protection domain, the protection domain that protection scope of the present invention should be defined by claim is defined.
Claims (4)
1. a kind of urban drainage pipe network on-line monitoring method, it is characterised in that including：
S1：Set up the site monitoring system of the drainage pipeline networks；Monitoring point is set, and gathers each in drainage pipeline networks running
The pipeline level parameter h and pipeline displacement parameter σ of individual monitoring point, and store to warning data storehouse；
S2：The static database of drainage pipeline networks is set up, and static database is associated with warning data storehouse, the static database
Pipeline geography position parameter including each monitoring point, pipeline absolute altitude hg, pipe diameter D, conduit slope i, the pipeline coefficient of roughness n ginseng
Number；
S3：Set up the drainage pipeline networks state analysis system；Set up the emulation of the pipeline flow, pipe flow speed of the drainage pipeline networks
Model, the static database in pipeline level parameter h and step S2 in step S1, is calculated the drainage pipeline networks
Running status, the pipeline displacement parameter σ in step S1 obtains pipeline displacement state, and store to warning data storehouse；
The pipeline flow simulation model is：The simulation model of the pipe flow speed is：
Wherein, n is the pipeline coefficient of roughness；A is discharge section area,
R is hydraulic radius, J is hydraulic gradient；
Wherein hj、hj+1It is the adjacent two monitoring points upstream and downstream pipeline level parameter for measuring, i.e. pipeline liquid level absolute altitude, △ L are adjacent two prisons
Duct length between measuring point, j is numbered for monitoring point；
S4：The early warning system of the drainage pipeline networks is set up, disease recognition module, disease alarm threshold value module and Disease Processing are set
Module, with reference to drainage pipeline networks running status and the analysis result of pipeline displacement state in step S3, ran to drainage pipeline networks
The piping disease problem of journey carries out real-time judge, realizes real-time early warning and treatment.
S5：The running status of the drainage pipeline networks that will be monitored, pipeline displacement state and Disease Processing information Store are to warning data
Storehouse.
2. urban drainage pipe network on-line monitoring method according to claim 1, it is characterised in that described in the step S1
The specific method for building up of drainage pipeline networks site monitoring system includes：Parameter monitoring point is laid, using liquid level sensor to important section
Point real-time pipeline level parameter h be acquired, important node mainly include pipeline monitor at, at pipeline reducing diameter, conduit slope
At change, delivery port and common sewage steal row's point；Application distribution formula Fibre Optical Sensor enters to the pipeline displacement parameter σ of emphasis pipeline section
Row collection, and computer is transferred to, emphasis pipeline section includes that area sewerage main, construction area drainpipe, subway tunnel class are important
Nearby drainpipe and common pipe sedimentation destroy section to facility.
3. urban drainage pipe network on-line monitoring method according to claim 1, it is characterised in that pre- in the step S1
Alert database includes the ID of each monitoring point pipeline, the type of acquisition parameter, infield, acquisition time, pipe diameter, uses water
Attribute, administrative staff can carry out conditional information retrieval to warning data storehouse.
4. urban drainage pipe network on-line monitoring method according to claim 1, it is characterised in that the disease in the step S4
Evil identification module is used to recognize the type of disease；The disease alarm threshold value module is used to set alarm parameters；At the disease
Reason module is used for the pipeline level parameter h of drainage pipeline networks, pipeline flow Q, pipeline displacement parameter σ and disease alarm threshold value module
The parameter of middle setting compares, and the Disease Processing method in Disease Processing module starts corresponding actuation of an alarm, realizes city
City's waterlogging, pipeline congestion, pipe settlement, sewage steal row Disease Analysis and early warning.
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| CN203162558U (en) * | 2013-04-15 | 2013-08-28 | 武建 | Pipeline water leakage electronic monitoring and managing device |
| CN104633455A (en) * | 2014-03-20 | 2015-05-20 | 广东德上科技发展有限公司 | Intelligent security city pipe network real-time monitoring system and method |
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